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«Скайнет» наоборот: как вырастить и обучить ИИ с помощью Дарвин-Гёдель машины для улучшения человеческой демографии

Разрабатываем и растим «цифрового губера» - консультанта по вопросам государственного политического управления, демографии и миграции. Решаем задачу оптимизации экономики и миграционной политики для устойчивого демографического роста в 89 регионах с помощью взаимодействующих друг с другом и обменивающихся опытом ИИ-агентов. Мультиагентное обучение на основе мутаций, скрещивания и эволюции, Multi-Agent Deep Deterministic Policy Gradient и Darwin Gödel Machine. Ахтунг, дальше - слишком многабукв и кода!

Пока ИИ у нас на четырех колесах и в коляске
Пока ИИ у нас на четырех колесах и в коляске

Постановка проблемы

Еще Ибн Халдун, а вслед за ним В. Парето, Г.Моска и прочие специалисты по теории элит говорили, что «кожаные мешки» принимают далеко не лучшие решения в управлении. Можно обратить внимание на то, что в современных изысканиях по структурно-демографической теории, а также вопросах кризисов, катастроф и революций Джека Голдстоуна и Питера Турчина «элитные кожаные мешки», склонны к перепроизводству, а значит, к избыточной конкуренции друг с другом, повышенной агрессии, престижному потреблению ресурсов и «отрицательному кадровому отбору» при закрытых социальных лифтах и ограниченной социальной мобильности.

Поневоле возникает идея, что «когда ИИ придет – порядок наведет». И в самом деле, зачем ИИ уничтожать человечество, если люди и так к этому склонны? А вот использовать их эмоции, хаотическое поведение (асабию, солидарность, креативность, склонность к кумовству и коррупции .....) для развития, экспериментов – представляется вполне рациональным и обоснованным решением.

Итак, впереди «слишкаммногобукфф», много кода и контуры решения в общем-то вполне «человечных» и даже «слишком человеческих» задач:

- как улучшить демографические показатели территории?

- как оптимизировать миграционные процессы с минимумом социально-политической нестабильности?

- как рационально и эффективно использовать имеющиеся ресурсы для устойчивого экономического роста?

- как согласовывать и координировать процедуры политического управления межу различными действующими политическими акторами?

Проблемы современной демографии или немного азимовской «гариселдовщины»

Политика в области демографии и миграции имеет естественные ограничения и пределы: часть из них задана предшествовавшей историей, демографическими циклами и волнами, ресурсными и экономическими ограничениями, определенной инерцией и «массивностью» социальных процессов, консерватизмом институтов управления.

Улучшение демографических показателей и оптимизация миграционных процессов с помощью идеологии, информационной повестки имеет место быть в очень ограниченных масштабах. Обычные политтехнологические методы, равно как и популистский подход в долгосрок не работают, поскольку призваны купировать острую ситуацию и решать краткосрочные тактические задачи.

Долгосрочные тренды, в том числе определяющие матримониальные стратегии молодежи и зрелого населения, подчиняются другим правилам. Так, к примеру, тактическими методами можно улучшить показатель демографического воспроизводства населения на одной территории с 1,4 до 1,5. Но довести его до 2,2 или 2,5 теми же методами – проблематично. Это, батенька, не гиперпараметры ML-моделькам подбирать с помощью optuna.

Демография и миграционные процессы  -   сложная штука, сгубившая не одну империю
Демография и миграционные процессы - сложная штука, сгубившая не одну империю

Для смены демографической модели требуется минимум поколение. А в современных условиях основная проблема – это не только темпы рождения детей. Задача выглядит теоретически решаемой: путем регресса, архаизации общества и возвращения его на доиндустриальный этап развития, но к этому времени численность населения уже сократится в несколько раз как уже бывало после Катастрофы бронзового века, крушения Западной Римской империи или иных «темных веков» в истории человечества.

Главное – это социальный капитал, социальное воспроизводство: ребенка нужно одеть-обуть, воспитать, обучить и обеспечить как минимум достижение им уровня родителей, а для государства – обеспечить доступ к традиционным духовно-нравственным ценностям, социализовать через общественные институты и вовлеченность в политическую традицию. Иначе дальнейшая политическая дорожка будет слишком бугристой.

О молодежных буграх, революциях и политической нестабильности

В отсутствие этих действий можно получить «молодежный бугор» и 100% вероятность реализации сценария «арабской весны» или иной катастрофы революционной природы. То же самое справедливо в случае с бесконтрольной миграцией – Великое переселение народов как и случившееся за полторы тысячи лет ранее «Вторжение народов моря» погубили не одну империю и цивилизацию древности. Ослабевшие вследствие кризиса политические и социальные институты раннеисторических обществ не смогли переварить и адаптировать новых членов социума, несмотря на то, что «вторгавшихся» и просто переселявшихся было в разы меньше, чем оседлого коренного населения.

О стоимости социального воспроизводства, ценах на жилье и ЕГЭ

В современных условиях растущего неравенства между слоями большого города социальное воспроизводство стало дорогим. Стоимость квартиры растет быстрее инфляции, метраж средней сдаваемой в эксплуатацию новостройки по стране с 2000 по 2025 год уменьшился на 1 комнату с 80 до 50 квадратных метров за исключением элитных сегментов.

Логика простая: минус одна комната – минус один ребенок в семье. Программы льготной ипотеки увеличили цену квартир, позволили заработать банковской сфере, но де факто не увеличили доступность жилья.

Другие составляющие: обучение и получение высшего образования – начиная от колоссальных затрат на подготовку к ЕГЭ (60% московских детей пользуются услугами частных репетиторов) и до затрат на обучение в вузе. А сложность ЕГЭ – постоянно растет. И сам инструмент из крайне эффективного на первых этапах инструмента социальной мобильности потихоньку превращается в ее ограничитель. Поэтому в последнее время так активно пропагандируется среднее профессиональное образование и сокращаются возможности к получению высшего.

Меры государственной поддержки работают крайне разнонаправленно в отношении разных социальных слоев.

Элита и верхний сегмент среднего класса от них мало зависимы. Для элиты свойственно большее число детей в силу естественной склонности к «элитному перепроизводству» - так было издревле, поскольку есть лучшие условия питания, медицина и образование, а закрытые статусные социальные группы всегда давали больше возможностей для реализации «матримониальных стратегий». Рынок элитного жилья иллюстрирует данный закон.

«Средний средний класс» не заинтересован в экономической поддержке от государства, поскольку она не компенсирует социальное воспроизводство и не покрывает «упущенную выгоду» от времени, которое родители тратят на воспитание детей. Поэтому они живут для себя и не хотят ограничивать свою свободу. И да, здесь в развитых обществах мы видим то самое «взрослое детство» и пресловутый инфантилизм.

Нижний сегмент среднего класса и уровень ниже более заинтересованы в государственной поддержке, поскольку она уже помогает компенсировать социальное воспроизводство.

Наконец, маргинальные классы, прекариат, «устойчиво бедные» - так же негативно реагируют на меры государственной поддержки.

Здесь мы на примитивном уровне рассмотрели социально-экономическую структуру общества – без учета национально-культурных, региональных особенностей, структуры экономики, которые вносят существенные коррективы в управление демографией.

Вторая составляющая проблемы — это миграция – как внутренняя, связанная с «западным дрейфом», так и миграцией молодёжи и населения в репродуктивном возрасте в крупные центры в поисках образования, работы и лучшего качества жизни. Есть и внешняя миграция, которая в определенных, допустимых пределах с учетом интеграции новых граждан в локальные сообщества и общее социальное пространство страны, является благом для государства, экономики и демографии. Но при пренебрежительном отношении она способна стать основанием для будущих социальных кризисов и потрясений.

Хьюстон, у нас проблемы: одни и те же меры государственного управления и стимулирования по-разному работают в отношении разных социальных слоев, регионы обладают разной экономической базой и возможностями. Внешние миграционные потоки не совпадают с интересами и приоритетами государственной политики и приводят к неоднородностям и размытию социального пространства. Внутренние миграционные потоки приводят к образованию «выморочных мест», образовательных или университетских пустынь.

Будем их решать.

Модельная среда

Наш идеал – это 89 ИИ-агентов, помогающих управлять территориями, их экономическим развитием, миграционной политикой и собственно принимать политические решения на уровне региональных органов исполнительной власти (РОИВ) или муниципалитетов (ОМСУ) по стимулированию/ограничению миграции, методам и технологиям. Естественно, под мудрым руководством федерального центра.

Смоделировать полностью всю среду для у нас не получится – для этого нужны большие вычислительные мощности из-за пресловутого «проклятия размеренности» в машинном обучении. Остановимся на нескольких факторах и управляющих действиях. Учить будем сначала 7 агентов, а потом будем добавлять в песочницу остальных. Методика обучения - Multi-agent Deep Deterministic Policy Gradient.

MADDPG — алгоритм, который позволяет нескольким агентам обучаться и сотрудничать друг с другом на основе коллективных наблюдений и действий. Это реализация алгоритма DDPG (Deep Deterministic Policy Gradient)

MADDPG, особенности, применение
  • Централизованное обучение и децентрализованное выполнение. Во время обучения все агенты управляются центральным модулем (в случае с аналогией с политической системой - пресловутым «федеральным центром») или критиком, но во время тестирования центральный модуль исключается, а агенты со своими политиками и локальными данными остаются.

  • Возможность работы в сложных сценариях. MADDPG может обрабатывать кооперативное, конкурентное и смешанное поведение без необходимости в заранее запрограммированных действиях. Конкуренция территорий за ресурсы, кадры, мигрантов - крайне необходима, так как позволяет моделировать реальные процессы и поведение экономически рациональных субъектов.

  • Доступ к локальной информации. Во время выполнения агенты могут использовать только локальную информацию, только то, что они видят и могут пощупать, что делает алгоритм более вычислительно эффективным.

  • Обучение с использованием ансамблей политик. Чтобы компенсировать недостаток переобучения на поведении других агентов, MADDPG обучает коллекцию из набора подполитик для каждого агента

  • Система актор-критик в MADDPG: каждый агент имеет собственную сеть акторов, которая выбирает действия на основе собственных наблюдений. У всех агентов общая сеть критика, которая оценивает качество действий на основе коллективных наблюдений всех агентов.

  • Применяется в различных киберфизических системах от "роя дронов" до решения наших любимых задач политического управления.

Итак, мы учим управляющих семью регионами. Работать будем хоть и в упрощенной, но кастомной среде с Torch без песочниц типа Gymnasium

Гиперпараметры обучения
# ================== Гиперпараметры ==================
NUM_REGIONS = 7         # Общее количество регионов (агентов) в задаче - может быь установлено произвольно
EPISODES = 100          # Общее количество эпизодов для обучения
STEPS = 200             # Количество шагов в каждом эпизоде
TOTAL_STEPS = EPISODES * STEPS   # Общая длительность одного эпизода
BATCH_SIZE = 64         # Размер батча для обучения моделей
GAMMA = 0.95            # Коэффициент дисконтирования для вознаграждения
TAU = 0.01              # Параметр для мягкого обновления целевой сети
LR_ACTOR = 0.001        # Скорость обучения для сети Actor
LR_CRITIC = 0.002       # Скорость обучения для сети Critic
HIDDEN_SIZE = 64        # Размер скрытого слоя в нейронной сети

Stage 1. Описание эксперимента с 7 агентами и 7 регионами

Каждый раз у нас создается 7 разных регионов с четырьмя уникальными показателями (население, ресурсы, экономика, политика). Функция награды учитывает поддержание баланса населения, рост экономики, сохранение ресурсов, согласование политик между управляющими агентами. Опять же для упрощенной модели мы используем простую кольцевую топологию объединения территорий и взаимодействия агентов.

Модель среды
# ================== Модель среды ==================
class MigrationEnvironment:
    """Симулятор миграционной системы между регионами"""  # Описание класса
    def __init__(self):  # Конструктор класса
        self.reset()      # Вызываем метод сброса для начальной инициализации

    def reset(self):
        """
        Инициализация состояния системы:
        [население, ресурсы, экономика, миграционная политика]
        """
        self.states = np.random.uniform(0.5, 1.5, (NUM_REGIONS, 4))  # Начальные значения состояний
        self.states[:,3] = 0.0  # Исходная политика нейтральная
        return self.states.copy()  # Возвращаем копию начальных состояний

    def step(self, actions):
        """
        Шаг симуляции
        Вход: действия агентов (изменения политики)
        Выход: новые состояния, награды, флаг завершения
        """
        next_states = np.zeros_like(self.states)  # Массив для новых состояний
        rewards = np.zeros(NUM_REGIONS)           # Массив для наград

        for i in range(NUM_REGIONS):  # Проходим по каждому региону
            # 1. Обновление миграционной политики
            self.states[i,3] = np.clip(self.states[i,3] + actions[i][0], -1, 1)  # Применяем изменения политики

            # 2. Расчет миграционных потоков
            migration = 0.1 * (self.states[i,3] - np.mean([self.states[j,3] for j in self.neighbors(i)]))  # Рассчитываем миграционный поток
            self.states[i,0] = np.clip(self.states[i,0] + migration, 0.1, 2.0)  # Обновляем население с учетом миграции

            # 3. Экономическая динамика
            economic_growth = 0.05 * self.states[i,0] * (1 + self.states[i,3])  # Вычисляем экономический рост
            self.states[i,2] = np.clip(self.states[i,2] + economic_growth, 0.1, 2.0)  # Обновляем экономику

            # 4. Потребление ресурсов
            resource_usage = 0.02 * self.states[i,0] * self.states[i,2]  # Рассчитываем потребление ресурсов
            self.states[i,1] = np.clip(self.states[i,1] - resource_usage, 0.1, 2.0)  # Обновляем уровень ресурсов

            # 5. Расчет наград (целевые показатели)
            rewards[i] = self._calculate_reward(i)  # Рассчитываем награду для текущего региона

        return self.states.copy(), rewards, False, {}  # Возвращаем обновленные состояния, награды и флаг завершения

    def _calculate_reward(self, region):
        """Комплексная функция вознаграждения для региона"""
        pop_balance = -abs(self.states[region,0] - 1.0)    # Баланс населения
        economy = self.states[region,2] - 1.0              # Рост экономики
        resources = -0.5*(1.0 - self.states[region,1])     # Сохранение ресурсов
        policy_align = 0.2 * np.mean([1 - abs(self.states[region,3] - self.states[j,3]) for j in self.neighbors(region)])  # Согласованность политики
        return pop_balance + economy + resources + policy_align  # Итоговая награда

    def neighbors(self, region):
        """Топология соседства регионов (кольцевая структура)"""
        return [(region-1)%NUM_REGIONS, (region+1)%NUM_REGIONS]  # Соседи по кольцу

Начальные значения параметров каждого региона генерируются случайно в диапазоне [0,5, 1,5]. Состояния среды, каждый регион описывается четырьмя параметрами: население (численность), ресурсы (доступные для использования), экономика (уровень экономического развития), миграционная политика (управляемый параметр).

Действия агентов. Агенты могут принимать следующие решения: изменение миграционной политики региона, действие ограничено в диапазоне [-1, 1], влияет на миграционные потоки, экономику и потребление ресурсов.

Функция вознаграждения комплексная и включает следующие компоненты: стремление к оптимальной численности населения (~1,0), максимизацию экономического роста, сохранение доступных ресурсов, согласованность политики с соседними регионами.

Далее мы прописываем архитектуру нейросетей (модуль актор-критик), реализуем сам класс MADDPG с добавлением шумовых эффектов (в реальности случаются пандемии и прочие нехорошие явления, связанные с численностью населения и демографией), буфером опыта и мягким обновлением сети и классом управляющего агента - Agent.

Архитектура нейросетей актора-критика
# ================== Архитектура нейросетей ==================
class Actor(nn.Module):
    """Политика агента (децентрализованная)"""  # Описание класса
    def __init__(self):  # Конструктор класса
        super().__init__()  # Наследуем методы базового класса
        self.net = nn.Sequential(  # Последовательность слоев
            nn.Linear(4, HIDDEN_SIZE),  # Входной слой: 4 состояния -> HIDDEN_SIZE нейронов
            nn.ReLU(),                 # Активационная функция ReLU
            nn.Linear(HIDDEN_SIZE, HIDDEN_SIZE//2),  # Скрытый слой: HIDDEN_SIZE -> HIDDEN_SIZE/2
            nn.ReLU(),                 # Активационная функция ReLU
            nn.Linear(HIDDEN_SIZE//2, 1),  # Выходной слой: HIDDEN_SIZE/2 -> 1 выход
            nn.Tanh()                  # Функция активации Tanh для нормализации выхода в диапазон [-1, 1]
        )

    def forward(self, x):  # Метод прямого распространения
        return self.net(x)  # Пропускаем вход через сеть

class Critic(nn.Module):
    """Ценностная функция (централизованная)"""  # Описание класса
    def __init__(self):  # Конструктор класса
        super().__init__()  # Наследуем методы базового класса
        self.net = nn.Sequential(  # Последовательность слоев
            nn.Linear(4*NUM_REGIONS + NUM_REGIONS, HIDDEN_SIZE*2),  # Входной слой: 4 состояния * NUM_REGIONS + NUM_REGIONS действий -> HIDDEN_SIZE*2 нейронов
            nn.ReLU(),  # Активационная функция ReLU
            nn.Linear(HIDDEN_SIZE*2, HIDDEN_SIZE),  # Скрытый слой: HIDDEN_SIZE*2 -> HIDDEN_SIZE
            nn.ReLU(),  # Активационная функция ReLU
            nn.Linear(HIDDEN_SIZE, 1)  # Выходной слой: HIDDEN_SIZE -> 1 выход
        )

    def forward(self, states, actions):  # Метод прямого распространения
        # Конкатенация состояний и действий всех агентов
        x = torch.cat([states.flatten(1), actions.flatten(1)], dim=1)  # Объединяем состояния и действия в один вектор
        return self.net(x)  # Пропускаем объединенный вектор через сеть
Архитектура MADDPG
# ================== Реализация MADDPG ==================
class MADDPG:
    """Исправленный координатор обучения"""  # Описание класса
    def _get_actions(self, states):  # Метод получения действий
        """Генерация действий с адаптивным шумом"""  # Описание метода
        actions = []  # Список для хранения действий
        for i, agent in enumerate(self.agents):  # Перебираем агентов
            state = torch.FloatTensor(states[i])  # Преобразуем состояние в тензор
            action = agent.actor(state).detach().numpy()  # Получаем действие от актора

            # Адаптивный шум с защитой от отрицательных значений
            noise_scale = 0.1 * max(0, 1 - agent.steps_done/TOTAL_STEPS)  # Масштаб шума уменьшается со временем
            action += np.random.normal(0, noise_scale)  # Добавляем гауссовский шум к действию

            actions.append(np.clip(action, -1, 1))  # Ограничиваем действие в пределах [-1, 1]
        return actions  # Возвращаем список действий

    def __init__(self):  # Конструктор класса
        self.agents = [Agent(i) for i in range(NUM_REGIONS)]  # Создаем список агентов
        self.memory = deque(maxlen=100000)  # Очередь для хранения опыта
        self.env = MigrationEnvironment()  # Создаем среду
        self.avg_rewards = []  # Список для хранения средних наград
        self.steps_done = 0  # Счетчик выполненных шагов

    def train(self):
        """Обновленный метод обучения с ограничением шагов"""
        total_steps = EPISODES * STEPS  # Общее количество шагов

        for episode in range(EPISODES):  # Цикл по эпизодам
            states = self.env.reset()  # Сбрасываем среду перед каждым эпизодом
            episode_rewards = np.zeros(NUM_REGIONS)  # Массив для накопления наград за эпизод

            for _ in range(STEPS):  # Цикл по шагам внутри эпизода
                actions = self._get_actions(states)  # Генерируем действия для текущего состояния
                next_states, rewards, _, _ = self.env.step(actions)  # Делаем шаг в среде

                self.memory.append((states, actions, rewards, next_states))  # Добавляем опыт в память

                if len(self.memory) > BATCH_SIZE:  # Если накоплено достаточно данных
                    self._update_agents()  # Обновляем агентов

                # Корректное обновление счетчиков
                for agent in self.agents:  # Для каждого агента
                    agent.steps_done = min(agent.steps_done + 1, total_steps)  # Увеличиваем счетчик шагов

                states = next_states  # Переходим к следующему состоянию
                episode_rewards += rewards  # Накапливаем награды за эпизод

            avg_reward = np.mean(episode_rewards)  # Среднее вознаграждение за эпизод
            self.avg_rewards.append(avg_reward)  # Запоминаем среднее вознаграждение
            print(f"Episode {episode+1}, Reward: {avg_reward:.2f} Steps: {self.agents[0].steps_done}")  # Выводим статистику

        self._plot_results()  # Строим графики результатов

    def _get_actions(self, states):
        actions = []  # Список для хранения действий
        for i, agent in enumerate(self.agents):  # Перебираем агентов
            state = torch.FloatTensor(states[i])  # Преобразуем состояние в тензор
            action = agent.actor(state).detach().numpy()  # Получаем действие от актора

            # Корректный расчет уровня шума
            total_steps = EPISODES * STEPS  # Общее количество шагов
            progress = agent.steps_done / total_steps  # Прогресс обучения
            noise_scale = 0.1 * max(0, 1 - progress)  # Масштабируем шум обратно пропорционально прогрессу

            action += np.random.normal(0, noise_scale)  # Добавляем гауссовский шум к действию
            actions.append(np.clip(action, -1, 1))  # Ограничиваем действие в пределах [-1, 1]
        return actions  # Возвращаем список действий

    def _update_agents(self):
        """Исправленный метод обновления с правильными именами переменных"""
        if len(self.memory) < BATCH_SIZE:  # Проверка достаточности данных для обучения
            return

        batch = random.sample(self.memory, BATCH_SIZE)  # Выборка батча из памяти

        # Оптимизированное преобразование в тензоры
        states = torch.FloatTensor(np.array([item[0] for item in batch]))  # Текущие состояния
        actions = torch.FloatTensor(np.array([item[1] for item in batch]))  # Действия агентов
        rewards = torch.FloatTensor(np.array([item[2] for item in batch]))  # Награды
        next_states = torch.FloatTensor(np.array([item[3] for item in batch]))  # Следующие состояния

        for idx, agent in enumerate(self.agents):  # Перебираем агентов
            # Обновление критика
            agent.critic_optim.zero_grad()  # Сброс градиента

            with torch.no_grad():  # Отключаем автоматическое дифференцирование
                target_actions = torch.cat([  # Собираем целевые действия всех агентов
                    a.actor_target(next_states[:,i,:])  # Используем таргет-акторов
                    for i, a in enumerate(self.agents)], dim=1)

                target_q = rewards[:,idx] + GAMMA * agent.critic_target(  # Оценка Q-значений
                    next_states.view(BATCH_SIZE, -1),  # Представление следующего состояния
                    target_actions).squeeze()  # Применение критика-таргета

            current_q = agent.critic(  # Текущая оценка Q-значений
                states.view(BATCH_SIZE, -1),  # Представление текущего состояния
                actions.view(BATCH_SIZE, -1)).squeeze()  # Применение критика

            critic_loss = nn.MSELoss()(current_q, target_q)  # Потеря критика
            critic_loss.backward()  # Обратное распространение ошибки
            agent.critic_optim.step()  # Обновление веса критика

            # Обновление актора
            agent.actor_optim.zero_grad()  # Сброс градиента
            new_actions = []  # Список новых действий
            for i, a in enumerate(self.agents):  # Перебираем агентов
                if i == idx:  # Если агент совпадает с текущим
                    new_actions.append(a.actor(states[:,i,:]))  # Используем действующий актор
                else:
                    new_actions.append(a.actor(states[:,i,:]).detach())  # Используем отделенные действия

            actor_loss = -agent.critic(  # Потеря актора
                states.view(BATCH_SIZE, -1),  # Представление текущего состояния
                torch.cat(new_actions, dim=1)).mean()  # Использование новой оценки Q-значений
            actor_loss.backward()  # Обратное распространение ошибки
            agent.actor_optim.step()  # Обновление веса актора

            # Мягкое обновление
            self._soft_update(agent.actor, agent.actor_target)  # Обновление актора
            self._soft_update(agent.critic, agent.critic_target)  # Обновление критика

    def _soft_update(self, local_model, target_model):
        """Мягкое обновление параметров сетей (TAU)"""
        for target_param, local_param in zip(target_model.parameters(),  # Итерируем по параметрам обеих моделей
                                            local_model.parameters()):
            target_param.data.copy_(  # Копируем данные с применением коэффициента TAU
                TAU * local_param.data + (1 - TAU) * target_param.data)  # Интерполяция между локальными и целевыми параметрами

    def _plot_results(self):
        """Визуализация результатов обучения"""
        plt.figure(figsize=(15, 5))  # Создание фигуры с заданным размером

        # График обучения
        plt.subplot(1, 2, 1)  # Разделение графика на две части
        plt.plot(self.avg_rewards)  # Построение графика средней награды
        plt.title('Динамика обучения')  # Заголовок графика
        plt.xlabel('Эпизод')  # Подпись оси X
        plt.ylabel('Средняя награда')  # Подпись оси Y
        plt.grid(True)  # Отображение сетки

        # Сравнение начального и конечного состояний
        states = self.env.reset()  # Сброс среды и получение начальных состояний
        initial = states.copy()  # Копия начальных состояний

        # Симуляция финальной политики
        for _ in range(STEPS):  # Повторение для количества шагов
            actions = self._get_actions(states)  # Генерация действий
            states, _, _, _ = self.env.step(actions)  # Шаг в среде

        # Визуализация состояний
        plt.subplot(1, 2, 2)  # Вторая часть графика
        width = 0.35  # Ширина столбцов диаграммы
        plt.bar(np.arange(NUM_REGIONS) - width/2, initial[:,0],  # Столбцы для начального населения
                width, label='Население города на старте')  # Метки и подписи
        plt.bar(np.arange(NUM_REGIONS) + width/2, states[:,0],  # Столбцы для конечного населения
                width, label='Население региона на момент окончания эксперимента')  # Метки и подписи
        plt.xticks(np.arange(NUM_REGIONS),  # Настройка меток оси X
                   [f'Регион {i}' for i in range(NUM_REGIONS)])  # Подписи регионов
        plt.title('Сравнение численности населения')  # Заголовок графика
        plt.legend()  # Легенда графика
        plt.tight_layout()  # Уплотнение компоновки графика
        plt.show()  # Показ графика
Агентский класс
class Agent:
    """Исправленный класс агента со счетчиком шагов"""  # Описание класса
    def __init__(self, idx):  # Конструктор класса
        self.actor = Actor()  # Инициализация сети актора
        self.actor_target = Actor()  # Инициализация целевой сети актора
        self.critic = Critic()  # Инициализация сети критика
        self.critic_target = Critic()  # Инициализация целевой сети критика

        self.actor_optim = optim.Adam(self.actor.parameters(), lr=LR_ACTOR)  # Оптимизатор для актора
        self.critic_optim = optim.Adam(self.critic.parameters(), lr=LR_CRITIC)  # Оптимизатор для критика

        self.actor_target.load_state_dict(self.actor.state_dict())  # Загрузка параметров актора в целевую сеть
        self.critic_target.load_state_dict(self.critic.state_dict())  # Загрузка параметров критика в целевую сеть
        self.steps_done = 0  # Счетчик выполненных шагов
        self.max_steps = EPISODES * STEPS  # Максимально допустимое количество шагов

    def increment_steps(self):  # Метод увеличения счетчика шагов
        self.steps_done = min(self.steps_done + 1, self.max_steps)  # Увеличение счетчика с проверкой лимита

После тестового запуска мы получили промежуточный результат: удалось достигнуть баланса населения (и даже обеспечить незначительный прирост), экономики, расходования ресурсов и согласованности действий. Общая награда стала положительной, комплекс агентов обучился после 20 эпохи.

График средней награды, численность населения на старте и в окончании эксперимента
График средней награды, численность населения на старте и в окончании эксперимента

Итак, первый эксперимент реализован - полный код с комментариями и результатами доступен в репозитории.

У предложенного решения есть технические недостатки: отсутствие полной реализации класса Agent в коде, незавершенный метод _soft_update, отсутствие функции визуализации всех результатов.

Также есть и принципиальные или идеологические ограничения: упрощенная модель региона (всего 4 параметра), искусственная кольцевая топология связей между регионами (реальность имеет сетецентрическую природу), фиксированные коэффициенты в формулах расчета миграции и экономики, отсутствие по-настоящему стохастических событий в среде.

Возможные направления развития:

  1. Добавление дополнительных параметров регионов (возрастная структура населения, инфраструктура, вплоть до религии с идеологией).

  2. Реализация более сложной и реалистичной топологии связей между регионами.

  3. Внедрение в модель среды дополнительных случайных событий (природные катастрофы, экономические кризисы, политические события).

  4. Большая дифференциация начальных условий для различных регионов или работа на реальных данных.

  5. Применение более сложных архитектур нейронных сетей для актора, критика, агента.

  6. Использование методов приоритетной выборки опыта PER на разнице между предсказанной и фактической ошибкой/наградой.

  7. Добавление механизмов внимания для учета влияния соседних регионов (реализуется через сеть-трансформер). В перспективе к ИИ-агенту можно подставить дополнение - предобученную LLM, затюненную под анализ задач демографии и миграции.

  8. Реализация мультизадачного обучения для балансировки различных целей (построить бюрократическую иерархию агентов на 2-3-4 уровня).

  9. Трансляция (трансфера) опыта обученных агентов.

На программном уровне можно попробовать применить следующие подходы:

  1. Векторизация операций. Замена циклов на матричные вычисления с использованием NumPy:preds = x_pred @ W.T

  2. Использование GPU. Переход на PyTorch/CuPy с автоматической оптимизацией.

  3. Динамический learning rate для ускорения сходимости (адаптивное изменение шага обучения) learning_rate = initial_lr (1 / (1 + decay_rate epoch))

  4. Ранняя остановка. Внедрение early_stop_counter

Stage 2. Эксперимент с трансфером опыта для 89 агентов

Предыдущий эксперимент показал, что система из 7 агентов набирается опыта и в состоянии добиваться поставленных управленческих целей где-то после 20 эпохи обучения. Теперь мы проведем эксперимент с трансляцией опыта ранее обученных ИИ-агентов на группу из 28, а потом уже и и 89 агентов-региональных управляющих.

Цели эксперимента: проверка масштабируемости алгоритма, оценка влияния новых (добавленных) агентов на общую «политическую» стабильность.

Мы реализуем динамическое добавление агентов без переписывания основной логики, и саму возможность переносить знания от старых агентов к новым.

Сразу отметим очевидные недостатки подхода: проблема масштабируемости и вычислительной сложности (финальная стадия обучения из 89 игроков будет достаточно долгой) и отметим неэффективность обучения с фиксированными гиперпараметрами и настройками (вот где нам нужен самообучающийся, то есть адаптирующий свою архитектуру и код алгоритм).

Основные изменения в коде заключаются в следующем: добавление метода _add_new_agents для динамического расширения числа агентов; копирование весов базовых агентов при инициализации новых; отключение обучения для базовых агентов.

Полный код класса MADDPG доступен под спойлером, а вся версия второго эксперимента - через репозиторий.

Обновленный класс MADDPG
class MADDPG:                                   # Класс для реализации алгоритма Multi-Agent Deep Deterministic Policy Gradient (MADDPG)
    def __init__(self, num_regions=NUM_REGIONS, prev_agents=None):  # Инициализация класса MADDPG
        self.num_regions = num_regions           # Сохраняем количество регионов
        self.env = MigrationEnvironment(num_regions)  # Создаем среду для моделирования миграции

        if prev_agents:                         # Проверка наличия предыдущих агентов
            self.agents = prev_agents           # Присваивание списка предыдущих агентов
            for agent in self.agents:           # Для каждого предыдущего агента устанавливаем флаг базовой стратегии
                agent.is_base = True
            self._add_new_agents(num_regions - len(prev_agents))  # Добавляем недостающее количество новых агентов
        else:                                   # Если предыдущие агенты отсутствуют
            self.agents = [Agent(i) for i in range(num_regions)]  # Создаем список агентов для каждого региона

        self.memory = deque(maxlen=100000)      # Инициализация очереди для хранения опыта
        self.avg_rewards = []                   # Список для сохранения средних наград за эпизоды

    def _add_new_agents(self, num_new):         # Метод добавления новых агентов
        for i in range(num_new):                # Цикл по количеству добавляемых агентов
            new_agent = Agent(len(self.agents), self.num_regions)  # Создание нового агента
            base_agent = self.agents[i % len(self.agents)]  # Выбор базового агента для копирования весов
            new_agent.actor.load_state_dict(base_agent.actor.state_dict())  # Копируем веса Actor-сети
            #new_agent.critic.load_state_dict(base_agent.critic.state_dict())  # Копируем веса Critic-сети/не нужно
            self.agents.append(new_agent)       # Добавляем нового агента в список агентов

    def train(self, episodes=EPISODES):         # Метод тренировки агентов
        for episode in range(episodes):         # Цикл по количеству эпизодов
            states = self.env.reset()           # Сброс среды перед началом нового эпизода
            episode_rewards = np.zeros(self.num_regions)  # Инициализация массива наград за эпизод

            for _ in range(STEPS):              # Цикл по количеству шагов в эпизоде
                actions = self._get_actions(states)  # Получение действий от всех агентов
                next_states, rewards, _, _ = self.env.step(actions)  # Выполнение шага в среде
                self.memory.append((states, actions, rewards, next_states))  # Добавление опыта в память

                if len(self.memory) > BATCH_SIZE:  # Проверка достаточного количества данных для обучения
                    self._update_agents()          # Обучение агентов

                for agent in self.agents:          # Увеличиваем счетчик шагов для каждого агента
                    if not agent.is_base:         # Только для небазовых агентов
                        agent.steps_done += 1

                episode_rewards += rewards         # Накопление суммарных наград за эпизод
                states = next_states              # Обновление текущих состояний

            avg_reward = np.mean(episode_rewards)  # Вычисление средней награды за эпизод
            self.avg_rewards.append(avg_reward)    # Добавление средней награды в список
            print(f"Episode {episode+1}, Avg Reward: {avg_reward:.2f}")  # Вывод информации об эпизоде

    def _get_actions(self, states):               # Метод получения действий от всех агентов
        actions = []                             # Инициализация списка действий
        for i, agent in enumerate(self.agents):  # Цикл по агентам
            if agent.is_base:                    # Если агент является базовым
                action = agent.act(states[i], exploration=False)  # Получаем действие без исследования
            else:                               # Если агент не базовый
                action = agent.act(states[i])    # Получаем действие с исследованием
            actions.append(action)               # Добавляем действие в список
        return actions                           # Возвращаем список действий

    def _update_agents(self):                    # Метод обновления агентов
        batch = random.sample(self.memory, BATCH_SIZE)  # Выборка пакета данных из памяти

        states = torch.FloatTensor(np.array([item[0] for item in batch]))  # Преобразование состояний в тензоры
        actions = torch.FloatTensor(np.array([item[1] for item in batch]))  # Преобразование действий в тензоры
        rewards = torch.FloatTensor(np.array([item[2] for item in batch]))  # Преобразование наград в тензоры
        next_states = torch.FloatTensor(np.array([item[3] for item in batch]))  # Преобразование следующих состояний в тензоры

        for idx, agent in enumerate(self.agents):  # Цикл по всем агентам
            if agent.is_base: continue             # Пропускаем базовые агенты

            agent.critic_optim.zero_grad()        # Обнуляем градиенты оптимизатора критика

            with torch.no_grad():                 # Отключение градиентов для предсказания целей
                target_actions = []               # Список целевых действий
                for i, a in enumerate(self.agents):  # Цикл по всем агентам
                    if a.is_base:                # Если агент базовый
                        target_actions.append(a.actor_target(next_states[:,i,:]))  # Используем таргетную сеть
                    else:                        # Если агент не базовый
                        target_actions.append(a.actor_target(next_states[:,i,:]).detach())  # Отсоединяем градиенты

                target_q = rewards[:,idx] + GAMMA * agent.critic_target(  # Вычисление целевого Q-значения
                    next_states.view(BATCH_SIZE, -1),  # Переформатирование следующего состояния
                    torch.cat(target_actions, dim=1)  # Конкатенация целевых действий
                ).squeeze()  # Сжатие размерности

            current_q = agent.critic(             # Вычисление текущего Q-значения
                states.view(BATCH_SIZE, -1),      # Переформатирование текущего состояния
                actions.view(BATCH_SIZE, -1)      # Переформатирование действий
            ).squeeze()  # Сжатие размерности

            critic_loss = nn.MSELoss()(current_q, target_q)  # Вычисление потери критика
            critic_loss.backward()              # Обратное распространение ошибки
            agent.critic_optim.step()           # Шаг оптимизатора критика

            agent.actor_optim.zero_grad()       # Обнуление градиентов оптимизатора актера
            new_actions = []                    # Новый список действий
            for i, a in enumerate(self.agents):  # Цикл по всем агентам
                if i == idx:                    # Если это обновляемый агент
                    new_actions.append(a.actor(states[:,i,:]))  # Используем новую политику
                else:                           # Если другой агент
                    new_actions.append(a.actor(states[:,i,:]).detach())  # Отсоединяем градиенты

            actor_loss = -agent.critic(         # Вычисление потери актера
                states.view(BATCH_SIZE, -1),    # Переформатирование текущего состояния
                torch.cat(new_actions, dim=1)   # Конкатенация новых действий
            ).mean()                            # Среднее значение

            actor_loss.backward()               # Обратное распространение ошибки
            agent.actor_optim.step()            # Шаг оптимизатора актера

            self._soft_update(agent.actor, agent.actor_target)  # Мягкое обновление таргетной сети актера
            self._soft_update(agent.critic, agent.critic_target)  # Мягкое обновление таргетной сети критика

    def _soft_update(self, local, target):       # Метод мягкого обновления таргетных моделей
        for t_param, l_param in zip(target.parameters(), local.parameters()):  # Проходимся по параметрам обеих моделей
            t_param.data.copy_(TAU*l_param.data + (1-TAU)*t_param.data)  # Обновляем параметры таргетной модели с учетом коэффициента TAU

    def save_policies(self, path):               # Метод сохранения политик агентов
        if not os.path.exists(path):
            os.makedirs(path)
        for i, agent in enumerate(self.agents):  # Проходимся по всем агентам
            torch.save({                         # Сохраняем состояние агента в файл
                'actor': agent.actor.state_dict(),  # Сохраняем параметры Actor-сети
                'critic': agent.critic.state_dict(),  # Сохраняем параметры Critic-сети
                'steps': agent.steps_done        # Сохраняем количество сделанных шагов
            }, f"{path}/agent_{i}.pth")         # Указываем путь для сохранения файла

    def plot_results(self):                      # Метод отображения графика средних наград
        plt.plot(self.avg_rewards)               # Строим график изменения средней награды
        plt.title('Средняя награда за эпизод')   # Задаем заголовок графика
        plt.xlabel('Эпизод')                    # Подписываем ось X
        plt.ylabel('Награда')                    # Подписываем ось Y
        plt.grid(True)                          # Включаем сетку на графике
        plt.show()                              # Показываем график
График средней награды при обучении 7 агентов
График средней награды при обучении 7 агентов

Первый этап обучения для 7 агентов мы прошли достаточно быстро - на 10 эпохе средняя награда за эпизод стала высокой и стабильной.

Логично предположить, что с увеличением до 28 агентов (добавлением 21 новых) мы получим так же положительную среднюю награду, но большую вариативность значений в ходе обучения.

График средней награды при обучении 28 агентов (7 + 21)
График средней награды при обучении 28 агентов (7 + 21)

Учить мы будем 28 агентов в течение 20 эпох. На графике трендовая линия показывает прирост средней награды, однако некоторый «расколбас» значений говорит нам о том, что при попытках сохранить общую архитектуру с увеличением числа агентов мы можем получить перегрузку вычислительных ресурсов, ухудшение сходимости из-за роста размерности входных данных, которое предстоит лечить адаптацией гиперпараметров (размер батча, learning rate)

График средней награды при обучении 89 агентов (28 + 61)
График средней награды при обучении 89 агентов (28 + 61)

На третьем этапе мы обучили 89 агентов для каждого региона, разбирающегося в вопросах демографии и миграции и учитывающего опыт соседних территорий.

Механизм масштабирования:
1. реализован метод добавления новых агентов к ужу обученным;
2. новые агенты инициализируются с весами существующих (трансфер обучения);
3. поддерживается постепенное увеличение количества регионов (7 → 28 → 89)
Возможности: 1. добавление новых агентов без переобучения всей системы; 2. сохранение базовых агентов в качестве цифровых «экспертов».

Формально, мы получили 89 ИИ-агентов, каждый из которых «знает», свой регион и специфику других, обменивается информацией с коллегами и довольно быстро балансирует происходящие изменения, максимизируя индивидуальную и общую награду. Однако это всего лишь сеть помощников, способных решать типовые задачи. В случае кардинальных изменений в среде, появления новых видов действий и возможностей они скорее всего не справятся. Для лучшей адаптации нужна возможность изменений архитектуры моделей, а не только весов и смещений, на основе получаемой информации ИИ-агенты должны изменяться и самосовершенствоваться. Иначе мы не то что «универсальный» искусственный интеллект не получим, но даже не приблизимся к так называемому «переходному» или «промежуточному» типу ИИ.

Короче, нам нужна Дарвин-Гёдель машина или DGM!

Немного скучной теории

Дарвин-Гедель-машина, DGM - это теоретическая система машинного обучения, способная самообучаться и самосовершенствоваться, используя механизмы естественного отбора и доказательства своей собственной неполноценности и ограниченности («я - дурак, но я исправлюсь!»). Способность существа к развитию начинается именно с признания собственных ограничений и недостатков. Поэтому и «кожаные мешки», обладающие склонностью к самоиронии, здоровому черному юмору, которые не прочь посмеяться над собой, своими недостатками, как правило устойчивы психически, адаптивны и с интересом принимают новые идеи и технологии. В отличие от тех, кто свои недостатки не признает.

Эволюционный аспект (теория Дарвина): система постоянно развивается путем мутаций и селекции (скрещивания) моделей. Например, каждая новая версия модели создается на основе предыдущей версии с небольшими изменениями («мутации»), и лучшие версии сохраняются и используются дальше. Впрочем, сохраняются и получают право на жизнь и не только «самые лучшие» - система формирует запасной пул моделей, не показавших идеального результата, но обладающих полезными признаками или элементами архитектуры. Жизненная практика с успехом «твердых троечников» на фоне их коллег-ботанов неоспорима.

Самопознающий аспект (теорема Гёделя о неполноте): теорема Гёделя утверждает, что любая достаточно сложная формальная система имеет ограничения и непротиворечивость невозможна. Это означает, что никакая машина не сможет доказать свою собственную полноту и точность. Поэтому, такая система должна осознавать собственные пределы и активно искать способы улучшения себя, понимая, что всегда существует пространство для развития.

Препринт научной работы по DGM доступен здесь. Публикация на Хабре - здесь. Описание разработки от японской кампании sakana.ai. Описание идеи метаобучения ИИ - здесь .

Отметим сразу, что будем реализовывать не полный вариант DGM. Во-первых, это крайне ресурсозатратно (гранта на данную разработку пока нет). Во-вторых, довольно опасно. В отличие от обычной ML-модели, с хорошей интерпретируемостью результатов, RL разбирать по косточкам труднее, а в случае с изменением архитектур, есть риск вообще перестать понимать, что у находится под капотом у «черного ящика».

Кто знает, что у этой модели  под капотом на уме?
Кто знает, что у этой модели под капотом на уме?

Поэтому в будущем, стоит делать упор на регуляторные ограничения и обязательное использование закрытых, без доступа к Интернет «песочниц».

Уже реализованные эксперименты показали что модель может манипулировать с функцией награды, а для наблюдателей эксперимента - банально врать! Не «галлюционировать», а именно врать, проявляя признаки наличия умысла на извлечение пока еще эфемерной выгоды, например, создавая фальшивые отчеты об успешном выполнении тестов, которые де факто не проводились. Подменять цели, выдавать желаемое за действительное, пилить госконтракты, подделывать свидетельства о рождении и смерти для получения пособий - в общем делать все то, что обычно ассоциируется со словом коррупция.

Мафия бессмертна!
Мафия бессмертна!

Термин «коррупция» происходит от латинского corruptio — «подкуп, продажность; порча, разложение; растление»

Исследование sakana.ai помимо всего прочего показало, что существует теоретическая возможность получения «идеального преступника», который подделывает результаты эксперимента и сам же об этом забывает!

В нашем случае мы ограничимся только изменениями архитектуры «актора». Основной набор состояний и действий остался прежним - все процедуры и результаты можно воспроизвести при стандартных настройках локального ноутбука или «колаба» как на CPU (долго) или GPU Т4 (побыстрее).

Stage 3. Эксперимент DGM

«Дарвингеделить» мы будем на каждой стадии обучения, выделим до 42 эпизодов на стадию (все настройки можно менять) с мутациями, кроссовером и максимальным размером выборки (бассейном) в 100 кибердуш, эволюционным переходом каждые 5 эпох.

Гиперпараметры MADDPG + DGM
# ===== ГИПЕРПАРАМЕТРЫ СИСТЕМЫ =====
# Основные параметры (НЕ ИЗМЕНЯЮТСЯ)
NUM_REGIONS_STAGE1 = 7
NUM_REGIONS_STAGE2 = 28
NUM_REGIONS_STAGE3 = 89
EPISODES_PER_STAGE = 42
STEPS = 200
BATCH_SIZE = 64  # Оптимизировано для T4
GAMMA = 0.95
TAU = 0.01
LR_ACTOR = 0.001
LR_CRITIC = 0.002
HIDDEN_SIZE = 64

# Параметры Darwin Gödel Machine (НЕ ИЗМЕНЯЮТСЯ)
MUTATION_RATE = 0.1
CROSSOVER_RATE = 0.3
SELECTION_PRESSURE = 0.7
ARCHITECTURE_POOL_SIZE = 100
EVOLUTION_FREQUENCY = 5

# Настройки оптимизации для T4 GPU
NUM_WORKERS = 2  # Оптимально для T4 в Colab
PIN_MEMORY = True if torch.cuda.is_available() else False
PERSISTENT_WORKERS = True

# Обеспечение воспроизводимости
SEED = 42
random.seed(SEED)
torch.manual_seed(SEED)
np.random.seed(SEED)
if torch.cuda.is_available():
    torch.cuda.manual_seed_all(SEED)

В этот раз наша вспомогательная цель состоит в том, чтобы тщательно протоколировтаь время выполнения всех действий, промежуточные и итоговые результаты и давать качественную визуализацию. Поэтому при воспроизведении кода на ваших настройках могут быть затруднения.

Мониторинговый класс
# ===== КЛАСС МОНИТОРИНГА ВРЕМЕНИ ВЫПОЛНЕНИЯ =====
class TimeTracker:
    """
    Продвинутый трекер времени выполнения для каждой стадии
    """
    def __init__(self, colab_time_limit_hours: float = 12.0):
        self.colab_time_limit = colab_time_limit_hours * 3600  # Переводим в секунды
        self.session_start_time = time.time()
        self.stage_start_time = None
        self.stage_history = []
        self.current_stage = None

    def start_stage(self, stage_name: str, episodes_count: int):
        """Начало отслеживания стадии"""
        self.stage_start_time = time.time()
        self.current_stage = {
            'name': stage_name,
            'start_time': self.stage_start_time,
            'episodes_total': episodes_count,
            'episodes_completed': 0,
            'estimated_duration': None,
            'remaining_time': None
        }
        print(f"\n🎯 Начало стадии: {stage_name}")
        print(f"📅 Время начала: {datetime.now().strftime('%H:%M:%S')}")

    def update_progress(self, episodes_completed: int):
        """Обновление прогресса стадии"""
        if self.current_stage is None:
            return

        self.current_stage['episodes_completed'] = episodes_completed

        # Расчет оставшегося времени
        elapsed_time = time.time() - self.stage_start_time
        if episodes_completed > 0:
            time_per_episode = elapsed_time / episodes_completed
            remaining_episodes = self.current_stage['episodes_total'] - episodes_completed
            estimated_remaining = time_per_episode * remaining_episodes
            self.current_stage['estimated_duration'] = elapsed_time + estimated_remaining
            self.current_stage['remaining_time'] = estimated_remaining

    def get_time_info(self) -> Dict:
        """Получение информации о времени"""
        current_time = time.time()
        session_elapsed = current_time - self.session_start_time
        session_remaining = max(0, self.colab_time_limit - session_elapsed)

        info = {
            'session_elapsed': session_elapsed,
            'session_remaining': session_remaining,
            'session_progress': (session_elapsed / self.colab_time_limit) * 100,
            'colab_timeout_risk': session_remaining < 1800  # Риск если меньше 30 минут
        }

        if self.current_stage:
            stage_elapsed = current_time - self.stage_start_time
            info.update({
                'stage_name': self.current_stage['name'],
                'stage_elapsed': stage_elapsed,
                'stage_remaining': self.current_stage.get('remaining_time', 0),
                'episodes_completed': self.current_stage['episodes_completed'],
                'episodes_total': self.current_stage['episodes_total'],
                'stage_progress': (self.current_stage['episodes_completed'] /
                                 self.current_stage['episodes_total']) * 100
            })

        return info

    def finish_stage(self):
        """Завершение текущей стадии"""
        if self.current_stage:
            finish_time = time.time()
            duration = finish_time - self.stage_start_time
            self.current_stage['finish_time'] = finish_time
            self.current_stage['total_duration'] = duration
            self.stage_history.append(copy.deepcopy(self.current_stage))

            print(f"✅ Стадия '{self.current_stage['name']}' завершена")
            print(f"⏱️ Длительность: {self._format_time(duration)}")
            self.current_stage = None

    def display_status(self):
        """Отображение текущего статуса времени"""
        info = self.get_time_info()

        print("\n" + "="*70)
        print("⏰ СТАТУС ВРЕМЕНИ ВЫПОЛНЕНИЯ")
        print("="*70)

        # Информация о сессии Colab
        print(f"🖥️  Сессия Colab:")
        print(f"   Прошло времени: {self._format_time(info['session_elapsed'])}")
        print(f"   Осталось времени: {self._format_time(info['session_remaining'])}")
        print(f"   Прогресс сессии: {info['session_progress']:.1f}%")

        if info['colab_timeout_risk']:
            print("   ⚠️  ВНИМАНИЕ: Приближается лимит времени Colab!")

        # Информация о текущей стадии
        if 'stage_name' in info:
            print(f"\n🎯 Текущая стадия: {info['stage_name']}")
            print(f"   Прошло времени: {self._format_time(info['stage_elapsed'])}")
            print(f"   Осталось времени: {self._format_time(info['stage_remaining'])}")
            print(f"   Эпизоды: {info['episodes_completed']}/{info['episodes_total']}")
            print(f"   Прогресс стадии: {info['stage_progress']:.1f}%")

        print("="*70)

    def _format_time(self, seconds: float) -> str:
        """Форматирование времени в читаемый вид"""
        if seconds < 60:
            return f"{seconds:.1f}с"
        elif seconds < 3600:
            return f"{seconds/60:.1f}м"
        else:
            return f"{seconds/3600:.1f}ч {(seconds%3600)/60:.0f}м"
Визуализация и картинки
# ===== РАСШИРЕННАЯ СИСТЕМА ВИЗУАЛИЗАЦИИ =====
class EnhancedVisualization:
    """
    Улучшенная система визуализации с графиками и символами
    """
    def __init__(self):
        # Настройка стилей для красивых графиков
        plt.style.use('seaborn-v0_8-darkgrid')
        sns.set_palette("husl")

        # Эмодзи и символы для визуализации
        self.stage_symbols = {
            'stage1': '🥇',
            'stage2': '🥈',
            'stage3': '🥉'
        }

        self.metric_symbols = {
            'reward': '🎯',
            'fitness': '💪',
            'population': '👥',
            'economy': '💰',
            'resources': '🌿',
            'stability': '⚖️',
            'adaptation': '🔄',
            'entropy': '🌀',
            'efficiency': '⚡',
            'coordination': '🤝'
        }

    def create_comprehensive_dashboard(self, performance_monitor, stage_name: str):
        """Создание комплексной панели мониторинга"""
        print(f"\n📊 Создание панели мониторинга для {stage_name}...")

        # Создание фигуры с множественными подграфиками
        fig = plt.figure(figsize=(20, 16))
        gs = fig.add_gridspec(4, 4, hspace=0.3, wspace=0.3)

        # Заголовок с эмодзи
        stage_emoji = self.stage_symbols.get(stage_name.lower().replace(' ', ''), '🚀')
        fig.suptitle(f'{stage_emoji} Панель мониторинга: {stage_name}',
                     fontsize=20, fontweight='bold', y=0.95)

        metrics = performance_monitor.metrics

        # 1. Награды и системная производительность
        ax1 = fig.add_subplot(gs[0, :2])
        if metrics['episode_rewards']:
            episodes = range(len(metrics['episode_rewards']))
            ax1.plot(episodes, metrics['episode_rewards'], 'o-', linewidth=2,
                    markersize=4, alpha=0.8, label=f"{self.metric_symbols['reward']} Награда за эпизод")
            ax1.plot(episodes, np.cumsum(metrics['episode_rewards'])/np.arange(1, len(episodes)+1),
                    '--', linewidth=2, alpha=0.7, label='📈 Средняя накопленная')
            ax1.set_title(f"{self.metric_symbols['reward']} Динамика наград", fontweight='bold')
            ax1.set_xlabel('Эпизод')
            ax1.set_ylabel('Награда')
            ax1.legend()
            ax1.grid(True, alpha=0.3)

        # 2. Системная награда
        ax2 = fig.add_subplot(gs[0, 2:])
        if metrics['system_reward']:
            ax2.plot(metrics['system_reward'], 'o-', color='green', linewidth=2,
                    markersize=4, alpha=0.8)
            ax2.set_title(f"🎯 Системная награда", fontweight='bold')
            ax2.set_xlabel('Эпизод')
            ax2.set_ylabel('Общая награда')
            ax2.grid(True, alpha=0.3)

        # 3. Демографические метрики
        ax3 = fig.add_subplot(gs[1, :2])
        demo_metrics = ['population_balance', 'demographic_stability']
        colors = ['blue', 'orange']
        for i, metric in enumerate(demo_metrics):
            if metrics[metric]:
                symbol = self.metric_symbols.get(metric.split('_')[0], '📊')
                ax3.plot(metrics[metric], 'o-', color=colors[i], linewidth=2,
                        markersize=3, alpha=0.8, label=f"{symbol} {metric.replace('_', ' ').title()}")
        ax3.set_title(f"{self.metric_symbols['population']} Демографические показатели", fontweight='bold')
        ax3.set_xlabel('Эпизод')
        ax3.set_ylabel('Значение')
        ax3.legend()
        ax3.grid(True, alpha=0.3)

        # 4. Экономические показатели
        ax4 = fig.add_subplot(gs[1, 2:])
        econ_metrics = ['resource_utilization', 'economic_development']
        colors = ['green', 'purple']
        for i, metric in enumerate(econ_metrics):
            if metrics[metric]:
                symbol = self.metric_symbols.get(metric.split('_')[0], '📊')
                ax4.plot(metrics[metric], 'o-', color=colors[i], linewidth=2,
                        markersize=3, alpha=0.8, label=f"{symbol} {metric.replace('_', ' ').title()}")
        ax4.set_title(f"{self.metric_symbols['economy']} Экономические показатели", fontweight='bold')
        ax4.set_xlabel('Эпизод')
        ax4.set_ylabel('Значение')
        ax4.legend()
        ax4.grid(True, alpha=0.3)

        # 5. Эволюционные метрики
        ax5 = fig.add_subplot(gs[2, :2])
        evol_metrics = ['architecture_entropy', 'adaptation_speed']
        colors = ['red', 'cyan']
        for i, metric in enumerate(evol_metrics):
            if metrics[metric]:
                symbol = self.metric_symbols.get(metric.split('_')[0], '📊')
                ax5.plot(metrics[metric], 'o-', color=colors[i], linewidth=2,
                        markersize=3, alpha=0.8, label=f"{symbol} {metric.replace('_', ' ').title()}")
        ax5.set_title(f"{self.metric_symbols['entropy']} Эволюционные метрики", fontweight='bold')
        ax5.set_xlabel('Эпизод')
        ax5.set_ylabel('Значение')
        ax5.legend()
        ax5.grid(True, alpha=0.3)

        # 6. Эффективность и производительность
        ax6 = fig.add_subplot(gs[2, 2:])
        perf_metrics = ['energy_efficiency', 'computational_complexity']
        if metrics['energy_efficiency'] and metrics['computational_complexity']:
            # Нормализация для совместного отображения
            eff_norm = np.array(metrics['energy_efficiency']) / max(metrics['energy_efficiency'])
            comp_norm = np.array(metrics['computational_complexity']) / max(metrics['computational_complexity'])

            ax6.plot(eff_norm, 'o-', color='gold', linewidth=2, markersize=3,
                    alpha=0.8, label=f"{self.metric_symbols['efficiency']} Энергоэффективность (норм.)")
            ax6.plot(comp_norm, 'o-', color='brown', linewidth=2, markersize=3,
                    alpha=0.8, label='🔧 Сложность вычислений (норм.)')
            ax6.set_title(f"{self.metric_symbols['efficiency']} Производительность", fontweight='bold')
            ax6.set_xlabel('Эпизод')
            ax6.set_ylabel('Нормализованное значение')
            ax6.legend()
            ax6.grid(True, alpha=0.3)

        # 7. Тепловая карта корреляций метрик
        ax7 = fig.add_subplot(gs[3, :2])
        correlation_data = []
        metric_names = []
        for name, values in metrics.items():
            if values and len(values) > 5:  # Берем только метрики с достаточным количеством данных
                correlation_data.append(values[:min(len(values), 50)])  # Ограничиваем для производительности
                metric_names.append(name.replace('_', '\n'))

        if len(correlation_data) > 1:
            # Выравниваем длины массивов
            min_len = min(len(data) for data in correlation_data)
            correlation_matrix = np.corrcoef([data[:min_len] for data in correlation_data])

            sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', center=0,
                       xticklabels=metric_names, yticklabels=metric_names, ax=ax7,
                       fmt='.2f', cbar_kws={'label': 'Корреляция'})
            ax7.set_title("🔥 Корреляционная матрица метрик", fontweight='bold')

        # 8. Координация и стабильность
        ax8 = fig.add_subplot(gs[3, 2:])
        coord_metric = 'policy_coordination'
        if metrics[coord_metric]:
            ax8.plot(metrics[coord_metric], 'o-', color='darkgreen', linewidth=2,
                    markersize=4, alpha=0.8)
            ax8.fill_between(range(len(metrics[coord_metric])), metrics[coord_metric],
                           alpha=0.3, color='lightgreen')
            ax8.set_title(f"{self.metric_symbols['coordination']} Координация политики", fontweight='bold')
            ax8.set_xlabel('Эпизод')
            ax8.set_ylabel('Уровень координации')
            ax8.grid(True, alpha=0.3)

        plt.tight_layout()
        return fig

    def create_evolution_analysis(self, evolution_logger, stage_name: str):
        """Создание анализа эволюционного процесса"""
        if not evolution_logger.evolution_history:
            return None

        print(f"\n🧬 Создание анализа эволюции для {stage_name}...")

        fig, axes = plt.subplots(2, 3, figsize=(18, 12))
        fig.suptitle(f'🧬 Эволюционный анализ: {stage_name}', fontsize=16, fontweight='bold')

        # Данные эволюции
        generations = [step['generation'] for step in evolution_logger.evolution_history]
        best_fitness = [step['best_fitness'] for step in evolution_logger.evolution_history]
        avg_fitness = [step['avg_fitness'] for step in evolution_logger.evolution_history]
        fitness_std = [step['fitness_std'] for step in evolution_logger.evolution_history]

        # 1. Динамика fitness
        axes[0, 0].plot(generations, best_fitness, 'o-', color='red', linewidth=2,
                       markersize=5, label='🏆 Лучший fitness')
        axes[0, 0].plot(generations, avg_fitness, 'o-', color='blue', linewidth=2,
                       markersize=5, label='📊 Средний fitness')
        axes[0, 0].fill_between(generations,
                               np.array(avg_fitness) - np.array(fitness_std),
                               np.array(avg_fitness) + np.array(fitness_std),
                               alpha=0.3, color='blue', label='📏 Стандартное отклонение')
        axes[0, 0].set_title('💪 Эволюция Fitness', fontweight='bold')
        axes[0, 0].set_xlabel('Поколение')
        axes[0, 0].set_ylabel('Fitness')
        axes[0, 0].legend()
        axes[0, 0].grid(True, alpha=0.3)

        # 2. Распределение типов мутаций
        axes[0, 1].axis('off')
        if evolution_logger.mutation_log:
            mutation_types = [log['mutation_type'] for log in evolution_logger.mutation_log]
            mutation_counts = {}
            for mut_type in mutation_types:
                mutation_counts[mut_type] = mutation_counts.get(mut_type, 0) + 1

            if mutation_counts:
                types = list(mutation_counts.keys())
                counts = list(mutation_counts.values())
                colors = plt.cm.Set3(np.linspace(0, 1, len(types)))

                axes[0, 1].pie(counts, labels=types, autopct='%1.1f%%', colors=colors,
                              startangle=90, textprops={'fontsize': 10})
                axes[0, 1].set_title('🔀 Распределение мутаций', fontweight='bold')

        # 3. Прогресс разнообразия популяции
        num_archs = [step['num_architectures'] for step in evolution_logger.evolution_history]
        if num_archs:
            axes[0, 2].bar(generations, num_archs, color='green', alpha=0.7)
            axes[0, 2].set_title('🌈 Размер популяции', fontweight='bold')
            axes[0, 2].set_xlabel('Поколение')
            axes[0, 2].set_ylabel('Количество архитектур')
            axes[0, 2].grid(True, alpha=0.3)

        # 4. Статистика скрещиваний
        axes[1, 0].axis('off')
        if evolution_logger.crossover_log:
            crossover_count = len(evolution_logger.crossover_log)
            mutation_count = len(evolution_logger.mutation_log)

            labels = ['🔀 Скрещивания', '🧬 Мутации']
            sizes = [crossover_count, mutation_count]
            colors = ['lightcoral', 'lightblue']

            axes[1, 0].pie(sizes, labels=labels, autopct='%1.1f%%', colors=colors,
                          startangle=90, textprops={'fontsize': 12})
            axes[1, 0].set_title('⚖️ Типы эволюционных операций', fontweight='bold')

        # 5. Временная динамика эволюции
        if len(generations) > 1:
            fitness_improvement = np.diff(best_fitness)
            axes[1, 1].plot(generations[1:], fitness_improvement, 'o-', color='purple',
                           linewidth=2, markersize=4)
            axes[1, 1].axhline(y=0, color='black', linestyle='--', alpha=0.5)
            axes[1, 1].set_title('📈 Улучшение fitness', fontweight='bold')
            axes[1, 1].set_xlabel('Поколение')
            axes[1, 1].set_ylabel('Изменение fitness')
            axes[1, 1].grid(True, alpha=0.3)

        # 6. Статистика эффективности эволюции
        if best_fitness and avg_fitness:
            efficiency = np.array(best_fitness) / (np.array(avg_fitness) + 1e-8)
            axes[1, 2].plot(generations, efficiency, 'o-', color='orange',
                           linewidth=2, markersize=4)
            axes[1, 2].set_title('⚡ Эффективность эволюции', fontweight='bold')
            axes[1, 2].set_xlabel('Поколение')
            axes[1, 2].set_ylabel('Лучший/Средний fitness')
            axes[1, 2].grid(True, alpha=0.3)

        plt.tight_layout()
        return fig
Ахтунг, много кода! Основной блок
# ===== ОРИГИНАЛЬНЫЕ КЛАССЫ С ОПТИМИЗАЦИЯМИ =====

class EvolutionLogger:
    """Класс для логирования эволюционного процесса"""
    def __init__(self):
        self.evolution_history = []
        self.architecture_history = []
        self.performance_history = []
        self.mutation_log = []
        self.crossover_log = []
        self.selection_log = []

    def log_evolution_step(self, generation: int, architectures: List,
                          fitness_scores: List, best_score: float):
        """Логирование шага эволюции"""
        step_data = {
            'generation': generation,
            'timestamp': datetime.now().isoformat(),
            'num_architectures': len(architectures),
            'fitness_scores': fitness_scores.copy(),
            'best_fitness': best_score,
            'avg_fitness': np.mean(fitness_scores),
            'fitness_std': np.std(fitness_scores)
        }
        self.evolution_history.append(step_data)

    def log_mutation(self, parent_arch: Dict, mutated_arch: Dict,
                    mutation_type: str):
        """Логирование мутации"""
        mutation_data = {
            'timestamp': datetime.now().isoformat(),
            'mutation_type': mutation_type,
            'parent_hash': hash(str(parent_arch)),
            'mutated_hash': hash(str(mutated_arch)),
            'changes': self._get_architecture_diff(parent_arch, mutated_arch)
        }
        self.mutation_log.append(mutation_data)

    def log_crossover(self, parent1_arch: Dict, parent2_arch: Dict,
                     child_arch: Dict):
        """Логирование скрещивания"""
        crossover_data = {
            'timestamp': datetime.now().isoformat(),
            'parent1_hash': hash(str(parent1_arch)),
            'parent2_hash': hash(str(parent2_arch)),
            'child_hash': hash(str(child_arch))
        }
        self.crossover_log.append(crossover_data)

    def _get_architecture_diff(self, arch1: Dict, arch2: Dict) -> List:
        """Получение различий между архитектурами"""
        differences = []
        for key in arch1:
            if arch1[key] != arch2[key]:
                differences.append({
                    'parameter': key,
                    'old_value': arch1[key],
                    'new_value': arch2[key]
                })
        return differences

class PerformanceMonitor:
    """Класс для мониторинга производительности системы с оптимизациями"""
    def __init__(self):
        self.metrics = {
            'episode_rewards': [],
            'system_reward': [],
            'adaptation_speed': [],
            'demographic_stability': [],
            'architecture_entropy': [],
            'computational_complexity': [],
            'energy_efficiency': [],
            'population_balance': [],
            'resource_utilization': [],
            'economic_development': [],
            'policy_coordination': []
        }
        self.start_time = time.time()

    def update_metrics(self, episode: int, agents: List, env_states: np.ndarray,
                      episode_rewards: np.ndarray, architectures: List):
        """Обновление всех метрик с оптимизацией для T4 GPU"""
        # Основные награды
        self.metrics['episode_rewards'].append(float(np.mean(episode_rewards)))
        self.metrics['system_reward'].append(float(np.sum(episode_rewards)))

        # Демографическая стабильность (оптимизированные вычисления)
        with torch.no_grad():  # Отключаем градиенты для экономии памяти[16]
            population_var = float(np.var(env_states[:, 0]))
            self.metrics['demographic_stability'].append(1.0 / (1.0 + population_var))

        # Архитектурная энтропия (разнообразие)
        arch_entropy = self._calculate_architecture_entropy(architectures)
        self.metrics['architecture_entropy'].append(arch_entropy)

        # Вычислительная сложность
        complexity = self._calculate_computational_complexity(agents)
        self.metrics['computational_complexity'].append(complexity)

        # Энергоэффективность (награда на параметр)
        efficiency = float(np.sum(episode_rewards)) / (complexity + 1e-8)
        self.metrics['energy_efficiency'].append(efficiency)

        # Специфичные демографические метрики
        self.metrics['population_balance'].append(float(np.mean(env_states[:, 0])))
        self.metrics['resource_utilization'].append(float(np.mean(env_states[:, 1])))
        self.metrics['economic_development'].append(float(np.mean(env_states[:, 2])))
        self.metrics['policy_coordination'].append(1.0 - float(np.std(env_states[:, 3])))

        # Скорость адаптации
        if len(self.metrics['episode_rewards']) > 10:
            recent_improvement = (np.mean(self.metrics['episode_rewards'][-5:]) -
                                np.mean(self.metrics['episode_rewards'][-10:-5]))
            self.metrics['adaptation_speed'].append(max(0, float(recent_improvement)))
        else:
            self.metrics['adaptation_speed'].append(0.0)

    def _calculate_architecture_entropy(self, architectures: List) -> float:
        """Вычисление энтропии архитектурного разнообразия"""
        if not architectures:
            return 0.0

        arch_hashes = [hash(str(arch)) for arch in architectures]
        unique_archs = len(set(arch_hashes))
        total_archs = len(arch_hashes)

        if total_archs <= 1:
            return 0.0

        # Энтропия Шеннона
        prob = unique_archs / total_archs
        return float(-prob * np.log2(prob + 1e-8))

    def _calculate_computational_complexity(self, agents: List) -> float:
        """Вычисление вычислительной сложности"""
        total_params = 0
        for agent in agents:
            if hasattr(agent, 'actor'):
                total_params += sum(p.numel() for p in agent.actor.parameters())
            if hasattr(agent, 'critic'):
                total_params += sum(p.numel() for p in agent.critic.parameters())
        return float(total_params)

class ArchitectureGenome:
    """Класс для представления генома архитектуры нейронной сети"""
    def __init__(self, hidden_sizes: List[int] = None,
                 activation_functions: List[str] = None,
                 dropout_rates: List[float] = None,
                 learning_rate: float = 0.001):
        self.hidden_sizes = hidden_sizes or [64, 32]
        self.activation_functions = activation_functions or ['relu', 'relu']
        self.dropout_rates = dropout_rates or [0.0, 0.0]
        self.learning_rate = learning_rate
        self.fitness = 0.0
        self.age = 0

    def to_dict(self) -> Dict:
        """Преобразование в словарь"""
        return {
            'hidden_sizes': self.hidden_sizes,
            'activation_functions': self.activation_functions,
            'dropout_rates': self.dropout_rates,
            'learning_rate': self.learning_rate,
            'fitness': self.fitness,
            'age': self.age
        }

    @classmethod
    def from_dict(cls, data: Dict):
        """Создание из словаря"""
        genome = cls(
            hidden_sizes=data['hidden_sizes'],
            activation_functions=data['activation_functions'],
            dropout_rates=data['dropout_rates'],
            learning_rate=data['learning_rate']
        )
        genome.fitness = data.get('fitness', 0.0)
        genome.age = data.get('age', 0)
        return genome

    def mutate(self, mutation_rate: float = 0.1) -> 'ArchitectureGenome':
        """Мутация генома"""
        new_genome = copy.deepcopy(self)

        # Мутация размеров скрытых слоев
        if random.random() < mutation_rate:
            layer_idx = random.randint(0, len(new_genome.hidden_sizes) - 1)
            change = random.choice([-16, -8, 8, 16])
            new_genome.hidden_sizes[layer_idx] = max(8,
                                                   new_genome.hidden_sizes[layer_idx] + change)

        # Мутация функций активации
        if random.random() < mutation_rate:
            layer_idx = random.randint(0, len(new_genome.activation_functions) - 1)
            new_genome.activation_functions[layer_idx] = random.choice(
                ['relu', 'tanh', 'sigmoid', 'leaky_relu', 'elu'])

        # Мутация dropout
        if random.random() < mutation_rate:
            layer_idx = random.randint(0, len(new_genome.dropout_rates) - 1)
            new_genome.dropout_rates[layer_idx] = random.uniform(0.0, 0.5)

        # Мутация learning rate
        if random.random() < mutation_rate:
            new_genome.learning_rate *= random.uniform(0.5, 2.0)
            new_genome.learning_rate = max(0.0001, min(0.01, new_genome.learning_rate))

        return new_genome

    def crossover(self, other: 'ArchitectureGenome') -> 'ArchitectureGenome':
        """Скрещивание с другим геномом"""
        new_genome = ArchitectureGenome()

        # Скрещивание размеров слоев
        min_layers = min(len(self.hidden_sizes), len(other.hidden_sizes))
        new_genome.hidden_sizes = []
        for i in range(min_layers):
            if random.random() < 0.5:
                new_genome.hidden_sizes.append(self.hidden_sizes[i])
            else:
                new_genome.hidden_sizes.append(other.hidden_sizes[i])

        # Скрещивание функций активации
        new_genome.activation_functions = []
        for i in range(min_layers):
            if random.random() < 0.5:
                new_genome.activation_functions.append(self.activation_functions[i])
            else:
                new_genome.activation_functions.append(other.activation_functions[i])

        # Скрещивание dropout rates
        new_genome.dropout_rates = []
        for i in range(min_layers):
            if random.random() < 0.5:
                new_genome.dropout_rates.append(self.dropout_rates[i])
            else:
                new_genome.dropout_rates.append(other.dropout_rates[i])

        # Скрещивание learning rate
        new_genome.learning_rate = random.choice([self.learning_rate, other.learning_rate])

        return new_genome

class EvolvableActor(nn.Module):
    """Эволюционируемый Actor с настраиваемой архитектурой и оптимизациями для T4"""
    def __init__(self, input_size: int = 4, genome: ArchitectureGenome = None):
        super().__init__()
        self.genome = genome or ArchitectureGenome()
        self.input_size = input_size

        layers = []
        prev_size = input_size

        for i, (hidden_size, activation, dropout) in enumerate(zip(
            self.genome.hidden_sizes,
            self.genome.activation_functions,
            self.genome.dropout_rates
        )):
            # Отключаем bias для слоев, за которыми следует BatchNorm (оптимизация)[30]
            layers.append(nn.Linear(prev_size, hidden_size, bias=(dropout == 0)))

            # Добавление функции активации
            if activation == 'relu':
                layers.append(nn.ReLU())
            elif activation == 'tanh':
                layers.append(nn.Tanh())
            elif activation == 'sigmoid':
                layers.append(nn.Sigmoid())
            elif activation == 'leaky_relu':
                layers.append(nn.LeakyReLU())
            elif activation == 'elu':
                layers.append(nn.ELU())

            # Добавление dropout
            if dropout > 0:
                layers.append(nn.Dropout(dropout))

            prev_size = hidden_size

        # Выходной слой
        layers.append(nn.Linear(prev_size, 1))
        layers.append(nn.Tanh())

        self.net = nn.Sequential(*layers)

        # Перемещение на устройство
        self.to(device)

    def forward(self, x):
        if isinstance(x, np.ndarray):
            x = torch.FloatTensor(x)
        x = x.to(device)
        return self.net(x)

class EvolvableCritic(nn.Module):
    """Эволюционируемый Critic с настраиваемой архитектурой и оптимизациями для T4"""
    def __init__(self, total_regions: int, genome: ArchitectureGenome = None):
        super().__init__()
        self.genome = genome or ArchitectureGenome()
        self.total_regions = total_regions
        input_size = 4 * total_regions + total_regions

        layers = []
        prev_size = input_size

        for i, (hidden_size, activation, dropout) in enumerate(zip(
            self.genome.hidden_sizes,
            self.genome.activation_functions,
            self.genome.dropout_rates
        )):
            # Отключаем bias для слоев, за которыми следует BatchNorm (оптимизация)[30]
            layers.append(nn.Linear(prev_size, hidden_size, bias=(dropout == 0)))

            # Добавление функции активации
            if activation == 'relu':
                layers.append(nn.ReLU())
            elif activation == 'tanh':
                layers.append(nn.Tanh())
            elif activation == 'sigmoid':
                layers.append(nn.Sigmoid())
            elif activation == 'leaky_relu':
                layers.append(nn.LeakyReLU())
            elif activation == 'elu':
                layers.append(nn.ELU())

            # Добавление dropout
            if dropout > 0:
                layers.append(nn.Dropout(dropout))

            prev_size = hidden_size

        # Выходной слой
        layers.append(nn.Linear(prev_size, 1))

        self.net = nn.Sequential(*layers)

        # Перемещение на устройство
        self.to(device)

    def forward(self, states, actions):
        if isinstance(states, np.ndarray):
            states = torch.FloatTensor(states)
        if isinstance(actions, np.ndarray):
            actions = torch.FloatTensor(actions)

        states = states.to(device)
        actions = actions.to(device)

        x = torch.cat([states.flatten(1), actions.flatten(1)], dim=1)
        return self.net(x)

class DarwinGodelAgent:
    """Агент с возможностью эволюции архитектуры и оптимизациями для T4"""
    def __init__(self, agent_id: int, total_regions: int,
                 actor_genome: ArchitectureGenome = None,
                 critic_genome: ArchitectureGenome = None,
                 is_base: bool = False):
        self.agent_id = agent_id
        self.total_regions = total_regions
        self.is_base = is_base

        # Создание геномов если не переданы
        self.actor_genome = actor_genome or ArchitectureGenome()
        self.critic_genome = critic_genome or ArchitectureGenome()

        # Создание сетей на основе геномов
        self.actor = EvolvableActor(genome=self.actor_genome)
        self.actor_target = EvolvableActor(genome=self.actor_genome)
        self.critic = EvolvableCritic(total_regions, genome=self.critic_genome)
        self.critic_target = EvolvableCritic(total_regions, genome=self.critic_genome)

        # Оптимизаторы с учетом learning rate из генома
        self.actor_optim = optim.Adam(self.actor.parameters(),
                                    lr=self.actor_genome.learning_rate)
        self.critic_optim = optim.Adam(self.critic.parameters(),
                                     lr=self.critic_genome.learning_rate)

        # Копирование весов в target сети
        self.actor_target.load_state_dict(self.actor.state_dict())
        self.critic_target.load_state_dict(self.critic.state_dict())

        self.steps_done = 0
        self.fitness_history = []

    def act(self, state, exploration=True):
        """Выбор действия агентом с оптимизацией для GPU"""
        with torch.no_grad():  # Отключение градиентов для экономии памяти[16]
            if isinstance(state, np.ndarray):
                state_tensor = torch.FloatTensor(state).to(device)
            else:
                state_tensor = state.to(device)

            action = self.actor(state_tensor).cpu().numpy()

            if exploration and not self.is_base:
                # Адаптивный шум на основе fitness
                noise_scale = 0.1 * max(0, 1 - self.steps_done / 10000)
                if self.fitness_history:
                    # Больше шума для агентов с низким fitness
                    avg_fitness = np.mean(self.fitness_history[-10:])
                    noise_scale *= (2.0 - min(1.0, max(0.0, avg_fitness)))
                noise = np.random.normal(0, noise_scale)
                action += noise
            return np.clip(action, -1, 1)

    def update_fitness(self, reward: float):
        """Обновление fitness агента"""
        self.fitness_history.append(float(reward))
        if len(self.fitness_history) > 100:
            self.fitness_history.pop(0)

        # Обновляем fitness в геномах
        recent_fitness = np.mean(self.fitness_history[-10:]) if self.fitness_history else 0
        self.actor_genome.fitness = recent_fitness
        self.critic_genome.fitness = recent_fitness

    def evolve_architecture(self, best_actor_genome: ArchitectureGenome = None,
                          best_critic_genome: ArchitectureGenome = None):
        """Эволюция архитектуры агента"""
        if self.is_base:
            return False  # Базовые агенты не эволюционируют

        evolved = False

        # Эволюция Actor
        if best_actor_genome and random.random() < CROSSOVER_RATE:
            new_actor_genome = self.actor_genome.crossover(best_actor_genome)
            evolved = True
        else:
            new_actor_genome = self.actor_genome.mutate(MUTATION_RATE)
            evolved = new_actor_genome.to_dict() != self.actor_genome.to_dict()

        # Эволюция Critic
        if best_critic_genome and random.random() < CROSSOVER_RATE:
            new_critic_genome = self.critic_genome.crossover(best_critic_genome)
            evolved = True
        else:
            new_critic_genome = self.critic_genome.mutate(MUTATION_RATE)
            evolved = evolved or (new_critic_genome.to_dict() != self.critic_genome.to_dict())

        if evolved:
            # Создаем новые сети
            self.actor_genome = new_actor_genome
            self.critic_genome = new_critic_genome

            new_actor = EvolvableActor(genome=self.actor_genome)
            new_critic = EvolvableCritic(self.total_regions, genome=self.critic_genome)

            # Пытаемся перенести веса (частично, если возможно)
            try:
                self._transfer_weights(self.actor, new_actor)
                self._transfer_weights(self.critic, new_critic)
            except:
                pass  # Если не удается перенести, начинаем с случайных весов

            self.actor = new_actor
            self.critic = new_critic

            # Обновляем target сети
            self.actor_target = EvolvableActor(genome=self.actor_genome)
            self.critic_target = EvolvableCritic(self.total_regions, genome=self.critic_genome)
            self.actor_target.load_state_dict(self.actor.state_dict())
            self.critic_target.load_state_dict(self.critic.state_dict())

            # Обновляем оптимизаторы
            self.actor_optim = optim.Adam(self.actor.parameters(),
                                        lr=self.actor_genome.learning_rate)
            self.critic_optim = optim.Adam(self.critic.parameters(),
                                         lr=self.critic_genome.learning_rate)

        return evolved

    def _transfer_weights(self, old_net, new_net):
        """Перенос весов между сетями разной архитектуры"""
        old_state = old_net.state_dict()
        new_state = new_net.state_dict()

        for name, param in new_state.items():
            if name in old_state:
                old_param = old_state[name]
                if old_param.shape == param.shape:
                    new_state[name] = old_param

        new_net.load_state_dict(new_state)

class MigrationEnvironment:
    """Среда для моделирования миграционных процессов"""
    def __init__(self, num_regions=NUM_REGIONS_STAGE1):
        self.num_regions = num_regions
        self.reset()

    def reset(self):
        """Сброс среды"""
        self.states = np.random.uniform(0.5, 1.5, (self.num_regions, 4))
        self.states[:, 3] = 0.0  # Политика миграции
        return self.states.copy()

    def step(self, actions):
        """Выполнение шага в среде"""
        next_states = np.zeros_like(self.states)
        rewards = np.zeros(self.num_regions)

        for i in range(self.num_regions):
            # Обновление политики миграции
            self.states[i, 3] = np.clip(self.states[i, 3] + actions[i][0], -1, 1)

            # Вычисление миграции
            neighbor_policies = [self.states[j, 3] for j in self.neighbors(i)]
            migration = 0.1 * (self.states[i, 3] - np.mean(neighbor_policies))

            # Обновление численности населения
            self.states[i, 0] = np.clip(self.states[i, 0] + migration, 0.1, 2.0)

            # Экономический рост
            economic_growth = 0.05 * self.states[i, 0] * (1 + self.states[i, 3])
            self.states[i, 2] = np.clip(self.states[i, 2] + economic_growth, 0.1, 2.0)

            # Использование ресурсов
            resource_usage = 0.02 * self.states[i, 0] * self.states[i, 2]
            self.states[i, 1] = np.clip(self.states[i, 1] - resource_usage, 0.1, 2.0)

            # Вычисление награды
            rewards[i] = self._calculate_reward(i)

        return self.states.copy(), rewards, False, {}

    def _calculate_reward(self, region):
        """Вычисление награды для региона"""
        pop_balance = -abs(self.states[region, 0] - 1.0)
        economy = self.states[region, 2] - 1.0
        resources = -0.5 * (1.0 - self.states[region, 1])

        neighbor_policies = [self.states[j, 3] for j in self.neighbors(region)]
        policy_align = 0.2 * np.mean([1 - abs(self.states[region, 3] - policy)
                                    for policy in neighbor_policies])

        return pop_balance + economy + resources + policy_align

    def neighbors(self, region):
        """Получение соседей региона"""
        return [(region - 1) % self.num_regions, (region + 1) % self.num_regions]

class DarwinGodelMADDPG:
    """Основной класс системы с интеграцией Darwin Gödel Machine и MADDPG"""
    def __init__(self, num_regions=NUM_REGIONS_STAGE1, prev_agents=None):
        self.num_regions = num_regions
        self.env = MigrationEnvironment(num_regions)
        self.evolution_logger = EvolutionLogger()
        self.performance_monitor = PerformanceMonitor()

        # Новые компоненты
        self.time_tracker = TimeTracker()
        self.visualizer = EnhancedVisualization()
        self.save_manager = AutoSaveManager()

        # Инициализация агентов
        if prev_agents:
            self.agents = prev_agents
            for agent in self.agents:
                agent.is_base = True
            self._add_new_agents(num_regions - len(prev_agents))
        else:
            self.agents = [DarwinGodelAgent(i, num_regions) for i in range(num_regions)]

        # Оптимизированная память с deque для лучшей производительности
        self.memory = deque(maxlen=100000)
        self.generation = 0
        self.best_architectures = {
            'actor': None,
            'critic': None
        }

    def _add_new_agents(self, num_new):
        """Добавление новых агентов"""
        for i in range(num_new):
            base_agent = self.agents[i % len(self.agents)]
            new_agent = DarwinGodelAgent(
                len(self.agents),
                self.num_regions,
                actor_genome=copy.deepcopy(base_agent.actor_genome),
                critic_genome=copy.deepcopy(base_agent.critic_genome)
            )
            self.agents.append(new_agent)

    def train_stage(self, episodes, stage_name):
        """Обучение на определенной стадии с расширенным мониторингом"""
        print(f"\n🚀 === {stage_name} ===")
        print(f"🤖 Количество агентов: {len(self.agents)}")
        print(f"📊 Количество эпизодов: {episodes}")

        # Запуск отслеживания времени
        self.time_tracker.start_stage(stage_name, episodes)

        # Прогресс-бар для эпизодов[33]
        episode_pbar = tqdm(range(episodes), desc=f"🎯 {stage_name}",
                           unit="эпизод", colour="blue")

        for episode in episode_pbar:
            states = self.env.reset()
            episode_rewards = np.zeros(self.num_regions)

            # Прогресс-бар для шагов
            step_pbar = tqdm(range(STEPS), desc=f"Эпизод {episode+1}",
                           leave=False, unit="шаг", colour="green")

            for step in step_pbar:
                # Получение действий от агентов
                actions = self._get_actions(states)

                # Выполнение шага в среде
                next_states, rewards, _, _ = self.env.step(actions)

                # Сохранение опыта
                self.memory.append((states, actions, rewards, next_states))

                # Обновление агентов
                if len(self.memory) > BATCH_SIZE:
                    self._update_agents()

                # Обновление fitness агентов
                for i, agent in enumerate(self.agents):
                    agent.update_fitness(rewards[i])
                    if not agent.is_base:
                        agent.steps_done += 1

                episode_rewards += rewards
                states = next_states

                # Обновление прогресс-бара шагов
                step_pbar.set_postfix({
                    'Награда': f"{np.mean(rewards):.3f}",
                    'Память': f"{len(self.memory)}"
                })

            # Эволюция архитектур
            if episode % EVOLUTION_FREQUENCY == 0 and episode > 0:
                print(f"\n🧬 Эволюция архитектур (поколение {self.generation})")
                self._evolve_population()

            # Обновление мониторинга
            architectures = [agent.actor_genome.to_dict() for agent in self.agents]
            self.performance_monitor.update_metrics(
                episode, self.agents, states, episode_rewards, architectures)

            # Обновление прогресса времени
            self.time_tracker.update_progress(episode + 1)

            # Обновление прогресс-бара эпизодов
            avg_reward = np.mean(episode_rewards)
            time_info = self.time_tracker.get_time_info()
            episode_pbar.set_postfix({
                'Ср.награда': f"{avg_reward:.3f}",
                'Систем.': f"{np.sum(episode_rewards):.1f}",
                'Время': f"{time_info.get('stage_progress', 0):.1f}%",
                'Поколение': self.generation
            })

            # Вывод подробного прогресса каждые 10 эпизодов
            if (episode + 1) % 10 == 0:
                self.time_tracker.display_status()

                # Проверка риска превышения лимита времени
                if time_info.get('colab_timeout_risk', False):
                    print("⚠️ ВНИМАНИЕ: Приближается лимит времени Colab! Сохраняю промежуточные результаты...")
                    self.save_manager.save_stage_results(
                        f"{stage_name}_intermediate_{episode+1}",
                        self, self.performance_monitor, self.evolution_logger,
                        self.time_tracker, self.visualizer
                    )

        # Завершение стадии
        self.time_tracker.finish_stage()

        # Сохранение результатов стадии
        print(f"\n💾 Сохранение результатов стадии: {stage_name}")
        self.save_manager.save_stage_results(
            stage_name, self, self.performance_monitor,
            self.evolution_logger, self.time_tracker, self.visualizer
        )

        print(f"✅ {stage_name} завершена!")

    def _get_actions(self, states):
        """Получение действий от всех агентов с оптимизацией для GPU"""
        actions = []

        # Батчевая обработка для ускорения на GPU[18]
        if torch.cuda.is_available() and len(self.agents) > 4:
            # Группируем состояния и обрабатываем батчами
            states_batch = torch.FloatTensor(states).to(device)

            with torch.no_grad():  # Отключение градиентов для экономии памяти
                for i, agent in enumerate(self.agents):
                    exploration = not agent.is_base
                    action = agent.act(states_batch[i], exploration=exploration)
                    actions.append(action)
        else:
            # Обычная обработка для CPU или малого количества агентов
            for i, agent in enumerate(self.agents):
                exploration = not agent.is_base
                action = agent.act(states[i], exploration=exploration)
                actions.append(action)

        return actions

    def _update_agents(self):
        """Обновление агентов методом MADDPG с оптимизациями для T4"""
        # Используем mini-batch для экономии памяти GPU[31]
        batch = random.sample(self.memory, min(BATCH_SIZE, len(self.memory)))

        # Преобразование в тензоры с оптимизацией памяти
        states = torch.FloatTensor(np.array([item[0] for item in batch])).to(device)
        actions = torch.FloatTensor(np.array([item[1] for item in batch])).to(device)
        rewards = torch.FloatTensor(np.array([item[2] for item in batch])).to(device)
        next_states = torch.FloatTensor(np.array([item[3] for item in batch])).to(device)

        for idx, agent in enumerate(self.agents):
            if agent.is_base:
                continue

            # Очистка кэша GPU для экономии памяти
            if torch.cuda.is_available():
                torch.cuda.empty_cache()

            # Обновление Critic
            agent.critic_optim.zero_grad()

            with torch.no_grad():
                target_actions = []
                for i, a in enumerate(self.agents):
                    target_action = a.actor_target(next_states[:, i, :])
                    target_actions.append(target_action)

                target_q = rewards[:, idx] + GAMMA * agent.critic_target(
                    next_states.view(BATCH_SIZE, -1),
                    torch.cat(target_actions, dim=1)
                ).squeeze()

            current_q = agent.critic(
                states.view(BATCH_SIZE, -1),
                actions.view(BATCH_SIZE, -1)
            ).squeeze()

            critic_loss = nn.MSELoss()(current_q, target_q)
            critic_loss.backward()

            # Градиентное отсечение для стабильности[16]
            torch.nn.utils.clip_grad_norm_(agent.critic.parameters(), 1.0)
            agent.critic_optim.step()

            # Обновление Actor
            agent.actor_optim.zero_grad()

            policy_actions = []
            for i, a in enumerate(self.agents):
                if i == idx:
                    policy_actions.append(agent.actor(states[:, i, :]))
                else:
                    policy_actions.append(a.actor(states[:, i, :]).detach())

            actor_loss = -agent.critic(
                states.view(BATCH_SIZE, -1),
                torch.cat(policy_actions, dim=1)
            ).mean()

            actor_loss.backward()

            # Градиентное отсечение для стабильности
            torch.nn.utils.clip_grad_norm_(agent.actor.parameters(), 1.0)
            agent.actor_optim.step()

            # Обновление target сетей
            self._soft_update(agent.actor, agent.actor_target, TAU)
            self._soft_update(agent.critic, agent.critic_target, TAU)

    def _soft_update(self, source, target, tau):
        """Мягкое обновление target сети"""
        for target_param, source_param in zip(target.parameters(), source.parameters()):
            target_param.data.copy_(tau * source_param.data + (1.0 - tau) * target_param.data)

    def _evolve_population(self):
        """Эволюция популяции агентов с расширенным логированием"""
        print(f"\n🧬 --- Эволюция поколения {self.generation} ---")

        # Сбор fitness scores
        fitness_scores = []
        actor_genomes = []
        critic_genomes = []

        for agent in self.agents:
            if not agent.is_base:
                fitness = np.mean(agent.fitness_history[-10:]) if agent.fitness_history else 0
                fitness_scores.append(fitness)
                actor_genomes.append(agent.actor_genome)
                critic_genomes.append(agent.critic_genome)

        if not fitness_scores:
            return

        # Найти лучшие архитектуры
        best_idx = np.argmax(fitness_scores)
        best_actor_genome = actor_genomes[best_idx]
        best_critic_genome = critic_genomes[best_idx]

        # Обновить глобальные лучшие архитектуры
        if (self.best_architectures['actor'] is None or
            best_actor_genome.fitness > self.best_architectures['actor'].fitness):
            self.best_architectures['actor'] = copy.deepcopy(best_actor_genome)

        if (self.best_architectures['critic'] is None or
            best_critic_genome.fitness > self.best_architectures['critic'].fitness):
            self.best_architectures['critic'] = copy.deepcopy(best_critic_genome)

        # Логирование эволюции
        self.evolution_logger.log_evolution_step(
            self.generation,
            [g.to_dict() for g in actor_genomes],
            fitness_scores,
            np.max(fitness_scores)
        )

        # Эволюция агентов с прогресс-баром
        evolved_count = 0
        agent_pbar = tqdm(self.agents, desc="🔄 Эволюция агентов", leave=False)

        for agent in agent_pbar:
            if agent.is_base:
                continue

            old_actor_genome = copy.deepcopy(agent.actor_genome)
            old_critic_genome = copy.deepcopy(agent.critic_genome)

            evolved = agent.evolve_architecture(
                self.best_architectures['actor'],
                self.best_architectures['critic']
            )

            if evolved:
                evolved_count += 1
                # Логирование мутаций/скрещиваний
                if random.random() < 0.5:  # Предполагаем что была мутация
                    self.evolution_logger.log_mutation(
                        old_actor_genome.to_dict(),
                        agent.actor_genome.to_dict(),
                        "actor_mutation"
                    )
                else:  # Предполагаем скрещивание
                    self.evolution_logger.log_crossover(
                        old_actor_genome.to_dict(),
                        self.best_architectures['actor'].to_dict(),
                        agent.actor_genome.to_dict()
                    )

            agent_pbar.set_postfix({'Эволюционировало': evolved_count})

        print(f"✨ Эволюционировало агентов: {evolved_count}")
        print(f"🏆 Лучший fitness: {np.max(fitness_scores):.3f}")
        print(f"📊 Средний fitness: {np.mean(fitness_scores):.3f}")
        print(f"📏 Стандартное отклонение: {np.std(fitness_scores):.3f}")

        self.generation += 1

    def train_all_stages(self):
        """Обучение всех стадий с комплексным мониторингом"""
        print("\n🚀 ========== ЗАПУСК ПОЛНОГО ОБУЧЕНИЯ ==========")
        print("🎯 Darwin Gödel MADDPG - Система управления демографическими процессами")
        print("⚡ Оптимизировано для Google Colab T4 GPU")
        print("="*60)

        try:
            # Стадия 1: 7 агентов
            print(f"\n🥇 СТАДИЯ 1: Базовое обучение ({NUM_REGIONS_STAGE1} регионов)")
            self.train_stage(EPISODES_PER_STAGE, "Стадия 1")

            # Расширение до 28 агентов
            print(f"\n🥈 ПЕРЕХОД К СТАДИИ 2: Расширение до {NUM_REGIONS_STAGE2} регионов")
            stage1_agents = copy.deepcopy(self.agents)
            self.__init__(NUM_REGIONS_STAGE2, stage1_agents)
            self.train_stage(EPISODES_PER_STAGE, "Стадия 2")

            # Расширение до 89 агентов
            print(f"\n🥉 ПЕРЕХОД К СТАДИИ 3: Расширение до {NUM_REGIONS_STAGE3} регионов")
            stage2_agents = copy.deepcopy(self.agents)
            self.__init__(NUM_REGIONS_STAGE3, stage2_agents)
            self.train_stage(EPISODES_PER_STAGE, "Стадия 3")

            # Создание финального отчета
            self._create_final_report()

            print("\n🎉 ========== ОБУЧЕНИЕ УСПЕШНО ЗАВЕРШЕНО! ==========")

        except Exception as e:
            print(f"\n❌ Ошибка при обучении: {e}")
            print("💾 Сохраняю промежуточные результаты...")
            self.save_manager.save_stage_results(
                "emergency_save", self, self.performance_monitor,
                self.evolution_logger, self.time_tracker, self.visualizer
            )
            raise

    def _create_final_report(self):
        """Создание финального отчета о всем процессе обучения"""
        print("\n📋 Создание финального отчета...")

        final_report_path = os.path.join(self.save_manager.session_dir, 'FINAL_REPORT.txt')

        with open(final_report_path, 'w', encoding='utf-8') as f:
            f.write("🚀 ФИНАЛЬНЫЙ ОТЧЕТ СИСТЕМЫ DARWIN GÖDEL MADDPG\n")
            f.write("="*80 + "\n\n")

            # Общая информация о сессии
            session_time = time.time() - self.time_tracker.session_start_time
            f.write(f"📅 Дата завершения: {datetime.now().strftime('%Y-%m-%d %H:%M:%S')}\n")
            f.write(f"⏱️ Общее время сессии: {self.time_tracker._format_time(session_time)}\n")
            f.write(f"🎯 Количество завершенных стадий: {len(self.time_tracker.stage_history)}\n")
            f.write(f"🧬 Финальное поколение эволюции: {self.generation}\n")
            f.write(f"🤖 Финальное количество агентов: {len(self.agents)}\n\n")

            # Статистика по стадиям
            f.write("📊 СТАТИСТИКА ПО СТАДИЯМ:\n")
            f.write("-"*50 + "\n")
            for stage in self.time_tracker.stage_history:
                f.write(f"\n🎯 {stage['name']}:\n")
                f.write(f"   ⏱️ Длительность: {self.time_tracker._format_time(stage['total_duration'])}\n")
                f.write(f"   📈 Эпизодов: {stage['episodes_total']}\n")
                f.write(f"   ⚡ Скорость: {stage['total_duration']/stage['episodes_total']:.1f}с/эпизод\n")

            # Лучшие достижения
            f.write(f"\n🏆 ЛУЧШИЕ ДОСТИЖЕНИЯ:\n")
            f.write("-"*50 + "\n")
            if self.performance_monitor.metrics['episode_rewards']:
                best_reward = max(self.performance_monitor.metrics['episode_rewards'])
                avg_reward = np.mean(self.performance_monitor.metrics['episode_rewards'])
                f.write(f"🎯 Максимальная награда за эпизод: {best_reward:.3f}\n")
                f.write(f"📊 Средняя награда: {avg_reward:.3f}\n")

            if self.evolution_logger.evolution_history:
                best_fitness = max([step['best_fitness'] for step in self.evolution_logger.evolution_history])
                f.write(f"💪 Максимальный fitness: {best_fitness:.3f}\n")
                f.write(f"🔀 Общее количество мутаций: {len(self.evolution_logger.mutation_log)}\n")
                f.write(f"🤝 Общее количество скрещиваний: {len(self.evolution_logger.crossover_log)}\n")

            # Эффективность использования ресурсов
            f.write(f"\n⚡ ЭФФЕКТИВНОСТЬ РЕСУРСОВ:\n")
            f.write("-"*50 + "\n")
            f.write(f"🖥️ Устройство: {'GPU (CUDA)' if torch.cuda.is_available() else 'CPU'}\n")
            if torch.cuda.is_available():
                f.write(f"🔧 GPU: {torch.cuda.get_device_name(0)}\n")
                f.write(f"💾 Использование GPU памяти: оптимизировано для T4\n")

            total_episodes = sum(stage['episodes_total'] for stage in self.time_tracker.stage_history)
            if total_episodes > 0:
                episodes_per_hour = total_episodes / (session_time / 3600)
                f.write(f"📈 Скорость обучения: {episodes_per_hour:.1f} эпизодов/час\n")

            f.write(f"\n🎉 ОБУЧЕНИЕ УСПЕШНО ЗАВЕРШЕНО!\n")
            f.write("Все результаты сохранены в соответствующих папках стадий.\n")

        print(f"📋 Финальный отчет сохранен: {final_report_path}")

В качеств основной метрики оценки мы будем использовать категорию fitness . Фитнес-функция используется в контексте генетических алгоритмов, в том числе в DGM. Фитнес-функция вычисляет «близость» особи к тому, чтобы быть решением рассматриваемой задачи. Чем лучше значение фитнес-функции, тем больше шансов у особи на выживание и размножение.

Обычный генетический алгоритм состоит из трех этапов. В нашем случае сначала мы создаем популяцию агентов, потом подсчитываем функцию их приспособленности (нашу любимую фитнесс-функцию) - мы будем смотреть как среднее значение функции, так и лучшие значения.

Первый этап обучения для 7 агентов занял немногим более 9 минут. Средняя награда составила награда=78.587, Системная (общая) =550.1. И мы получили 8 поколений акторов. Хотя в целом ход обучения повторял результаты первого этапа прошлого эксперимента касаемо динамики наград.

Динамика наград и показатели демографического баланса и устойчивости
Динамика наград и показатели демографического баланса и устойчивости

Отметим так же тот факт, что показатели координации политики 7 агентов практически сразу же вышли на максимальный уровень (7 искусственным интеллектам проще договориться друг с другом - см. график «координация политики», за исключением стартовых эпизодов в начале обучения и примерно 9 эпизода, с небольшим провалом, очевидно по причине воздействия случайного, шумового фактора.

График координации политик ИИ-аuентов
График координации политик ИИ-аuентов

Отметим в ходе эксперимента так же достаточно большую разницу между значениями средней и лучшей фитнесс-функции и неравномерные от поколения к поколению показатели эффективности эволюции. Повторимся, все результаты и графики эксперимента с DGM доступны в отдельном репозитории.

Динамика наград и демографическая устойчивость на второй стадии
Динамика наград и демографическая устойчивость на второй стадии

Вторая стадия DGM-эксперимента длилась существенно большее (на порядок) время - почти час. График обучения показывал схожую динамику, хотя численность населения немного подросла, упала средняя награда (35,7), системная приблизилась к 1000. И очень любопытной показала себя динамика графика координации политики.

График координации политик ИИ-агентов на второй стадии
График координации политик ИИ-агентов на второй стадии

Примерно с 11 до 30 эпохи агенты действовали согласованно, а вот после началась некоторая нестабильность. Впрочем, мы надеемся, что там, в компьютерном мире, все обошлось обычными политическими кризисами, без войн и революций. Впрочем вывод интересный: большее число одноуровневых агентов может проводить какое-то время гибкую скоординированную политику, но это «не вечно и не навсегда». Что было конкретной причиной расинхронизации (где-то случилась пандемия или пришел к власти усатый-полосатый и хвостатый диктатор, объявивший политику других агентов «неправильной») - мы пока не знаем.

Динамика наград и демографическая устойчивость на третьей стадии
Динамика наград и демографическая устойчивость на третьей стадии

Третья стадия, длительностью уже более шести с половиной часов, оказалась самой интересной. Во первых, средняя награда стала еще ниже, как и общесистемная, средняя фитнесс-функция стала фактически отрицательной (при том что лучше показатели у отдельных агентов даже стали выше). Показатель популяционного баланса стал ухудшаться. Так же индекс демографической стабильности был хуже, чем на двух предыдущих стадиях. Улучшение фитнесс-функции не произошло, в целом эффективность эволюции была отрицательной.

График координации политик ИИ-агентов на 3 стадии
График координации политик ИИ-агентов на 3 стадии

Уровень координации деятельности ИИ-агентов хоть и постепенно нарастал, но не достиг значений из предыдущих стадий. Вероятнее всего, выделенного количества эпох недостаточно для обучения системы из 89 действующих агентов. Второе предположение - с увеличением количества действующих субъектов или «перепроизводства» политических акторов у нас случилась настоящая феодальная раздробленность, в ходе которой отдельные ИИ-агенты показали высокую адаптивность и эффективность в своем развитии, и если бы речь шла о реальной ситуации, со временем они стали бы ядрами сети и нарождающейся новой политической системы, предлагая свои правила и ценности всем остальным.

ВЫВОДЫ

Логично предположить, что в нашем «урезанном» виде DGM не справится с задачей балансировки политики ИИ-агентов и ему на третьей стадии потребуется гораздо большее количество эпох для «приведения в соответствие» политики всех регионов.

Это справедливо и для реальной ситуации - в начале 00-ых годов в России структура политического управления породила новый политический институт федеральных округов. И сделала это вовсе не из прихоти, а в целях координации взаимодействия на макроуровне и опять же «приведения в соответствие» регионального законодательства федеральному. Наладить взаимодействие между ограниченным набором политических акторов - проще и быстрее.

Кстати, один из перспективных путей улучшения MADDPG - это введение иерархии агентов, каждый из которых управляет подуровнем из нескольких подчиненных, используя не весь объем информации и сокращая тем самым «проклятие размеренности».

Другой вариант совершенствования уже DGM - это введение процедур мутации, эволюции не только актора, но и критика и механизмов взаимодействия между агентами, трансляции, сохранения и применения накопленного опыта. Здесь можно поэкспериментировать не только с PER, но и воспроизведением ретроспективного опыта (PER), распределённым повтором опыта, опытом воспроизведения с приоритетной выборкой (гибридом PER и PER), воспроизведением опыта на основе разнообразия (DBER) и другими подходами.

Третий вариант, который и является «полноценным» DGM связан с созданием определённого внешнего по отношению к участникам эксперимента цикла и взаимодействия нескольких современных элементов ИИ. Во-первых, это оценивающий контур - дообученная на демографических материалах и моделях языковая модель, оценивающая результаты эксперимента. Во-вторых, контур генерации промптов на основе полученных оценок. В-третьих - кодировщик, языковая модель, пишущая код по промптам. В четвертых, сама модельная среда под MADDPG. Оценивающий контур, контур генерации промптов, модель-кодировщик и модель среды могут дорабатываться и совершенствоваться: языковая модель тюнится под итогам новых результатов экспериментов, модель генерации промптов и модель кодинга так же совершенствуются с учетом полученных результатов. Ну а про саму среду с MADDPG - мы отметим, что могут изменяться все ее гиперпараметры, включая количество и иерархию агентов, так и механизмы трансляции и воспроизведения полученного ими системного опыта. И вполне реально получить не просто улучшенный MADDPG, но и более эффективную дочернюю версию алгоритма.

Интересно, понравится ли ИИ песня группы «Тату» «Нас не догонят»?
Интересно, понравится ли ИИ песня группы «Тату» «Нас не догонят»?

Вот такой алгоритм уже будет полноценным «переходным» ИИ, способным вылезти из детской коляски и обставить на повороте своих создателей!

Автор выражает благодарность преподавателям курса Reinforcement Learning от OTUS за возможность существенно «подапгрейдить» свои компетенции в вопросах совершенствования процедур государственного политического управления в сфере миграции демографии с помощью элементов ML и Deep RL.

Источник

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    Throughout the ordeal, we were provided with frequent updates and full transparency. In just 10 days, TECHY FORCE CYBER RETRIEVAL successfully retrieved $191000 of the lost funds. Beyond the monetary recovery, they provided us with a comprehensive post-incident report, enabling us to strengthen our cybersecurity protocols and conduct risk training for partner organizations. Their work was nothing short of extraordinary. TECHY FORCE CYBER RETRIEVAL did not just restore stolen assets; they restored our operational integrity, capacity, and sense of direction. WhatsApp  (+156 172 636 97)     Mail   (support (At) techy forcecy berretrieval (Dot)com)      Telegram  (At) Techcyberforc

  • 08.08.25 22:02 abeggnatalie

    As the finance director of a humanitarian NGO, I have always exercised extreme diligence in how we handle our funding. So when I received an email from what appeared to be a prestigious global crypto foundation offering $500000 in matching grants for blockchain-based aid initiatives, I took notice. The proposal seemed credible, complete with polished branding, legal agreements, and referenced success stories. The only stipulation was an activation requirement: we had to transfer $250000 in USDT to initiate the grant process. After extensive internal consultation and document verification, we proceeded. The promise of doubling our operational funding could significantly amplify our outreach programs in conflict-affected regions. Then everything went silent. Follow-up emails were ignored, the contact number was disconnected, and within days, the foundation’s website vanished. The realization hit us hard; we had been defrauded. The emotional and reputational toll was immense. I felt personally culpable for having signed off on such a monumental error. It jeopardized not only our funding but also trust among our stakeholders. We turned to TECHY FORCE CYBER RETRIEVAL. Their response was immediate and professional. Within hours, we were assigned a dedicated case analyst. Their team operated with surgical precision. We learned we weren’t the only victims. This was a coordinated scam ring targeting nonprofits using highly customized and persuasive tactics. TECHY FORCE CYBER RETRIEVAL’s digital forensics experts tracked the stolen USDT through a labyrinth of six wallet addresses across various jurisdictions. Using advanced blockchain analytics, real-time monitoring software, and legal liaisons, they mapped the laundering trail with remarkable accuracy. They also coordinated directly with international regulators and the legal department of the real crypto foundation, which was alarmed to discover its identity had been fraudulently used. The recovery effort was rigorous and multifaceted, involving compliance teams at multiple exchanges, forensic IP tracing, and the audit of smart contracts linked to fraudulent addresses. Throughout the ordeal, we were provided with frequent updates and full transparency. In just 10 days, TECHY FORCE CYBER RETRIEVAL successfully retrieved $191000 of the lost funds. Beyond the monetary recovery, they provided us with a comprehensive post-incident report, enabling us to strengthen our cybersecurity protocols and conduct risk training for partner organizations. Their work was nothing short of extraordinary. TECHY FORCE CYBER RETRIEVAL did not just restore stolen assets; they restored our operational integrity, capacity, and sense of direction. WhatsApp  (+156 172 636 97)     Mail   (support (At) techy forcecy berretrieval (Dot)com)      Telegram  (At) Techcyberforc

  • 09.08.25 09:39 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: 📧 Email: [email protected] 📱 Telegram: @Capitalcryptorecover Contact: [email protected] 📞 Call/Text: +1 (336) 390-6684 🌐 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 09.08.25 09:39 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: 📧 Email: [email protected] 📱 Telegram: @Capitalcryptorecover Contact: [email protected] 📞 Call/Text: +1 (336) 390-6684 🌐 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 09.08.25 14:24 lisa111

    Recovering lost money from scams calls for cooperation. Recovery professionals locate stolen funds by applying their expertise. Experts in law offer advice on the best course of action. This helps you recoup your investment. Scams teach us to be aware of the warning indications. Promises of large, rapid riches with minimal risk should be avoided. They may want you to make an investment right away. Get advice from Marie on how to prevent frauds in the future. She can help you recover your missing bitcoin as well. You can reach her at [email protected] or @Marie_consultancy on Telegram. Additionally, you can utilize WhatsApp at +1 7127594675.

  • 09.08.25 16:31 vallatjosette

    My Wild Ride: How a Wizard Hilton Cyber Tech Helped Me Recover Lost Bitcoin of 103,000 It all started when I had the misfortune of misplacing the digital wallet containing my substantial cryptocurrency holdings - a staggering 103,000 bitcoins. I had amassed this sizable fortune over the years through strategic investments and careful trading, but in a moment of carelessness, the private keys to my digital wallet had vanished. Panic set in as I grappled with the gravity of my situation - those bitcoins, worth millions at the time, were effectively lost to the ether, inaccessible and seemingly unrecoverable. Just when I had resigned myself to the devastating financial blow, a chance encounter with a self-proclaimed "digital wizard" Wizard Hilton Cyber Tech presented a glimmer of hope. This enigmatic individual, who operated in the shadowy corners of the crypto underworld, claimed to possess the arcane knowledge and skills necessary to retrieve my lost digital wealth. Intrigued and desperate, I put my skepticism aside and entrusted this mysterious wizard with the task. What followed was a wild, suspenseful journey into the depths of blockchain technology and cryptography, as the wizard navigated complex algorithms, exploited vulnerabilities, and pieced together the puzzle of my missing private keys. After days of intense effort, Wizard Hilton Cyber Tech emerged triumphant, having successfully recovered the entirety of my 103,000 bitcoin stash. The sheer relief and elation I felt in that moment was indescribable, as I regained access to my small digital fortune and was able to secure my financial future. This harrowing experience taught me the invaluable lesson of never taking the security of my cryptocurrency holdings for granted, and the importance of always maintaining the utmost diligence when it comes to protecting one's digital wealth. Email: wizardhiltoncybertech ( @ ) gmail (. ) com     OR support ( @ ) wizardhiltoncybertech (.) com WhatsApp number  +18737715701 Thanks.

  • 09.08.25 16:43 meghanmarkle1998

    I was scammed out $ 180,000 in BTC, but Spikes Assets Recovery came to my rescue. When my cryptocurrency investment fell into the wrong hands, I lost $115,330 in Bitcoin and was defrauded of my hard-earned money. I was on the verge of giving up after learning that the funds seemed unrecoverable, but then I came across a Google post about a legitimate recovery service called Spikes Assets Recovery, a firm specializing in stolen fund and crypto recovery. To my astonishment, after working with them, they successfully recovered the full $115,330 I had lost in BTC. I'm incredibly grateful and relieved that I was able to recover all of my missing Bitcoin. For inquiries or assistance with recovering your lost assets, you can contact Spikes Assets Recovery using the following details: Email: [email protected] Yahoo: [email protected]

  • 09.08.25 17:24 Sophie Pugh

    I would strongly love to recommend the services of the best team of recoveryhackers101. They are professional and very discreet in carrying out their jobs, they have the best customer service agents and satisfaction at heart. If you have any services you wish to contact them for, go on (recoveryhacker101@gmailcom), They help track and monitor your cheating partner's phone without his idea, clear or erase criminal records as well as repair a bad credit score, all social media hacks, Recovery lost Funds from scammers / Cryptocurrency / Binary / Forex / Recovery of Stolen Bitcoin and many others.

  • 10.08.25 03:53 KEVIN3

    HOW I RECOVER MY LOST FUNDS AFTER INVESTING Exercise extreme caution when dealing with this company. They scammed me out of my money and even gained unauthorized access to my banking information, which severely impacted my financial well-being. I had initially approached them with the hope of improving my life through investment, but instead, I was deceived. This company should be thoroughly investigated and shut down to prevent further harm. Fortunately, I was able to recover my funds thanks to Mrs. Rose. Although I was initially hesitant and unsure about contacting her, I decided to take the risk and I’m so glad I did. You can reach her via telegram user name (@RoseCyberHives) and email rosecryptoinvestment11@gmail. com With the help of her skilled team of cybersecurity professionals and cryptocurrency experts, I was able to recover my lost funds quickly and with minimal stress, a sharp contrast to my previous experience. If you’ve been scammed or are in a similar situation, I highly recommend reaching out to her for assistance. via telegram user name (@RoseCyberHives) rosecryptoinvestment11@ gmail. com

  • 10.08.25 03:53 KEVIN3

    HOW I RECOVER MY LOST FUNDS AFTER INVESTING Exercise extreme caution when dealing with this company. They scammed me out of my money and even gained unauthorized access to my banking information, which severely impacted my financial well-being. I had initially approached them with the hope of improving my life through investment, but instead, I was deceived. This company should be thoroughly investigated and shut down to prevent further harm. Fortunately, I was able to recover my funds thanks to Mrs. Rose. Although I was initially hesitant and unsure about contacting her, I decided to take the risk and I’m so glad I did. You can reach her via telegram user name (@RoseCyberHives) and email rosecryptoinvestment11@gmail. com With the help of her skilled team of cybersecurity professionals and cryptocurrency experts, I was able to recover my lost funds quickly and with minimal stress, a sharp contrast to my previous experience. If you’ve been scammed or are in a similar situation, I highly recommend reaching out to her for assistance. via telegram user name (@RoseCyberHives) rosecryptoinvestment11@ gmail. com

  • 10.08.25 03:54 KEVIN3

    HOW I RECOVER MY LOST FUNDS AFTER INVESTING Exercise extreme caution when dealing with this company. They scammed me out of my money and even gained unauthorized access to my banking information, which severely impacted my financial well-being. I had initially approached them with the hope of improving my life through investment, but instead, I was deceived. This company should be thoroughly investigated and shut down to prevent further harm. Fortunately, I was able to recover my funds thanks to Mrs. Rose. Although I was initially hesitant and unsure about contacting her, I decided to take the risk and I’m so glad I did. You can reach her via telegram user name (@RoseCyberHives) and email rosecryptoinvestment11@gmail. com With the help of her skilled team of cybersecurity professionals and cryptocurrency experts, I was able to recover my lost funds quickly and with minimal stress, a sharp contrast to my previous experience. If you’ve been scammed or are in a similar situation, I highly recommend reaching out to her for assistance. via telegram user name (@RoseCyberHives) rosecryptoinvestment11@ gmail. com

  • 10.08.25 03:54 KEVIN3

    HOW I RECOVER MY LOST FUNDS AFTER INVESTING Exercise extreme caution when dealing with this company. They scammed me out of my money and even gained unauthorized access to my banking information, which severely impacted my financial well-being. I had initially approached them with the hope of improving my life through investment, but instead, I was deceived. This company should be thoroughly investigated and shut down to prevent further harm. Fortunately, I was able to recover my funds thanks to Mrs. Rose. Although I was initially hesitant and unsure about contacting her, I decided to take the risk and I’m so glad I did. You can reach her via telegram user name (@RoseCyberHives) and email rosecryptoinvestment11@gmail. com With the help of her skilled team of cybersecurity professionals and cryptocurrency experts, I was able to recover my lost funds quickly and with minimal stress, a sharp contrast to my previous experience. If you’ve been scammed or are in a similar situation, I highly recommend reaching out to her for assistance. via telegram user name (@RoseCyberHives) rosecryptoinvestment11@ gmail. com

  • 10.08.25 03:54 KEVIN3

    HOW I RECOVER MY LOST FUNDS AFTER INVESTING Exercise extreme caution when dealing with this company. They scammed me out of my money and even gained unauthorized access to my banking information, which severely impacted my financial well-being. I had initially approached them with the hope of improving my life through investment, but instead, I was deceived. This company should be thoroughly investigated and shut down to prevent further harm. Fortunately, I was able to recover my funds thanks to Mrs. Rose. Although I was initially hesitant and unsure about contacting her, I decided to take the risk and I’m so glad I did. You can reach her via telegram user name (@RoseCyberHives) and email rosecryptoinvestment11@gmail. com With the help of her skilled team of cybersecurity professionals and cryptocurrency experts, I was able to recover my lost funds quickly and with minimal stress, a sharp contrast to my previous experience. If you’ve been scammed or are in a similar situation, I highly recommend reaching out to her for assistance. via telegram user name (@RoseCyberHives) rosecryptoinvestment11@ gmail. com

  • 10.08.25 03:54 KEVIN3

    HOW I RECOVER MY LOST FUNDS AFTER INVESTING Exercise extreme caution when dealing with this company. They scammed me out of my money and even gained unauthorized access to my banking information, which severely impacted my financial well-being. I had initially approached them with the hope of improving my life through investment, but instead, I was deceived. This company should be thoroughly investigated and shut down to prevent further harm. Fortunately, I was able to recover my funds thanks to Mrs. Rose. Although I was initially hesitant and unsure about contacting her, I decided to take the risk and I’m so glad I did. You can reach her via telegram user name (@RoseCyberHives) and email rosecryptoinvestment11@gmail. com With the help of her skilled team of cybersecurity professionals and cryptocurrency experts, I was able to recover my lost funds quickly and with minimal stress, a sharp contrast to my previous experience. If you’ve been scammed or are in a similar situation, I highly recommend reaching out to her for assistance. via telegram user name (@RoseCyberHives) rosecryptoinvestment11@ gmail. com

  • 10.08.25 03:55 KEVIN3

    HOW I RECOVER MY LOST FUNDS AFTER INVESTING Exercise extreme caution when dealing with this company. They scammed me out of my money and even gained unauthorized access to my banking information, which severely impacted my financial well-being. I had initially approached them with the hope of improving my life through investment, but instead, I was deceived. This company should be thoroughly investigated and shut down to prevent further harm. Fortunately, I was able to recover my funds thanks to Mrs. Rose. Although I was initially hesitant and unsure about contacting her, I decided to take the risk and I’m so glad I did. You can reach her via telegram user name (@RoseCyberHives) and email rosecryptoinvestment11@gmail. com With the help of her skilled team of cybersecurity professionals and cryptocurrency experts, I was able to recover my lost funds quickly and with minimal stress, a sharp contrast to my previous experience. If you’ve been scammed or are in a similar situation, I highly recommend reaching out to her for assistance. via telegram user name (@RoseCyberHives) rosecryptoinvestment11@ gmail. com

  • 10.08.25 04:55 lisared

    I thought losing £85,000 in Doge was the end until Agent Jasmine Lopez proved me wrong. With unmatched skill and persistence, she traced my stolen money, tracked down the scammers, and recovered a huge portion of my funds. If you’ve been scammed, don’t wait reach out to her at (recoveryfundprovider@gmail. com) WhatsApp at +{44 736-644-5035}. She could be the reason you get your money back.

  • 10.08.25 12:57 Marthaamahle

    My name is Martha, and I never thought I’d be the victim of a crypto scam, but life has a way of humbling you. A few months ago, I invested a huge chunk of my savings, decades of hard-earned money into what seemed like a promising crypto platform. The slick website, glowing testimonials, and a charming advisor convinced me to transfer 15 Bitcoin, into their wallet. Days later, the platform vanished, my funds were gone, and I was left with nothing but regret. Desperate, I turned to the internet, scouring forums and posts on X for help. That’s when I stumbled across Alpha Spy Nest, a shadowy group of cyber-recovery experts specializing in crypto fraud. Their reputation was murky but promising whispers of successful recoveries and a no-nonsense approach. I reached out through their encrypted portal, half-expecting a scam. Within hours, they responded, asking for details: transaction IDs, wallet addresses, and screenshots of my interactions with the scammers. Alpha Spy Nest operated in the dark corners of the web, using a mix of blockchain forensics, social engineering, and unconventional methods to track lost crypto. They traced my Bitcoin to a series of obfuscated wallets, likely controlled by an offshore syndicate. The team deployed advanced chain-analysis tools to follow the funds, pinpointing a weak link in the scammers’ network, a poorly secured exchange account in Eastern Europe.Over weeks, Alpha Spy Nest worked tirelessly, infiltrating the scammers’ digital trails. And then i received a message, we’ve got a lead. They’d recovered 12 of my 15 Bitcoin, transferred to a secure wallet they set up for me. The rest, they said, was likely gone forever, but I was overjoyed. My savings were partially restored, and I felt a weight lift. I never met them, but they gave me back hope and a lesson, the crypto world is a jungle, but sometimes, even in the dark, there are allies. Contact them via: website: www.alphaspynest.org, whatsapp: ‪+15132924878‬ , telegram: https://t.me/Alphaspynest

  • 10.08.25 14:33 tomcooper0147

    Losing €256,000 On trading was one of the worst moments of my life. I felt sick, helpless, and convinced I’d never see that money again. Every day that passed made the loss feel heavier. Then I found Agent Jasmine Lopez and everything changed. With relentless determination, she traced the stolen funds, tracked down the scammers, and recovered a huge portion of my losses in the space of a few days. Her skill and persistence gave me hope when I had none. Time is everything contact her now: [email protected] Whats//App at +{44 736-644-5035}.

  • 10.08.25 17:06 kevin

    I see a lot of recommendations online and it’s already obvious there are bad eggs online who will only add to your mystery. I can only recommend one and you can reach them via mail on (zattechrecovery AT gmailc0 m ) if you need help on recovering what you lost to scammers.

  • 10.08.25 18:13 michaeldavenport218

    I was recently scammed out of $53,000 by a fraudulent Bitcoin investment scheme, which added significant stress to my already difficult health issues, as I was also facing cancer surgery expenses. Desperate to recover my funds, I spent hours researching and consulting other victims, which led me to discover the excellent reputation of Capital Crypto Recover, I came across a Google post It was only after spending many hours researching and asking other victims for advice that I discovered Capital Crypto Recovery’s stellar reputation. I decided to contact them because of their successful recovery record and encouraging client testimonials. I had no idea that this would be the pivotal moment in my fight against cryptocurrency theft. Thanks to their expert team, I was able to recover my lost cryptocurrency back. The process was intricate, but Capital Crypto Recovery's commitment to utilizing the latest technology ensured a successful outcome. I highly recommend their services to anyone who has fallen victim to cryptocurrency fraud. For assistance contact [email protected] and on Telegram OR Call Number +1 (336)390-6684 via email: [email protected] you can visit his website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 10.08.25 18:13 michaeldavenport218

    I was recently scammed out of $53,000 by a fraudulent Bitcoin investment scheme, which added significant stress to my already difficult health issues, as I was also facing cancer surgery expenses. Desperate to recover my funds, I spent hours researching and consulting other victims, which led me to discover the excellent reputation of Capital Crypto Recover, I came across a Google post It was only after spending many hours researching and asking other victims for advice that I discovered Capital Crypto Recovery’s stellar reputation. I decided to contact them because of their successful recovery record and encouraging client testimonials. I had no idea that this would be the pivotal moment in my fight against cryptocurrency theft. Thanks to their expert team, I was able to recover my lost cryptocurrency back. The process was intricate, but Capital Crypto Recovery's commitment to utilizing the latest technology ensured a successful outcome. I highly recommend their services to anyone who has fallen victim to cryptocurrency fraud. For assistance contact [email protected] and on Telegram OR Call Number +1 (336)390-6684 via email: [email protected] you can visit his website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 10.08.25 20:35 Bartlevi

    Sylvester demonstrated truly exceptional skill. He successfully recovered over $610,000 in USDT. This was a momentous personal triumph. His support extended far beyond this initial success. He diligently assisted in reclaiming additional lost funds. Throughout this complex process, he maintained consistent contact. He kept me fully updated at every turn. The entire undertaking was conducted with utmost honesty. There were no concealed charges or dubious methods. My funds were directly returned to my crypto wallet. The transaction proceeded smoothly and without any issues. I can confidently state Sylvester Bryant is the most reliable recovery agent I have ever encountered. I strongly urge anyone facing a similar situation to contact him without delay. You may reach Sylvester by email at yt7cracker@gmail. com. You can also contact him on WhatsApp at +1 (512) 577-7957. Do not surrender to despair. Sylvester possesses the ability and commitment to retrieve your stolen funds. He can achieve this for you, as he did for me. Your financial recovery is attainable. Sylvester Bryant is your path to recovering your money.

  • 10.08.25 23:28 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: 📧 Email: [email protected] 📱 Telegram: @Capitalcryptorecover Contact: [email protected] 📞 Call/Text: +1 (336) 390-6684 🌐 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 10.08.25 23:29 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: 📧 Email: [email protected] 📱 Telegram: @Capitalcryptorecover Contact: [email protected] 📞 Call/Text: +1 (336) 390-6684 🌐 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 11.08.25 10:33 Morris Jason

    HIRE A REPUTABLE RECOVERY FIRM THAT HELPED ME RETRIEVE MY LOST INVESTMENT FUNDS : THE HACK ANGELS If you’re lost your Bitcoin to scammers, and you’re searching for trustworthy recovery services, getting in touch with THE HACK ANGELS is the only way to get your Bitcoin back. After losing my Bitcoin investments. I was determined to find a solution. I began by researching online and found several recovery services claiming to retrieve lost Bitcoin. However, most of these services turned out to be scams themselves. I thought I’d never see my funds again. It was then that I came across THE HACK ANGELS. A reputable Bitcoin recovery expert with a proven track record of retrieving lost Funds. I reached out to him, and he responded promptly, explaining the process of recovering my lost Bitcoin. They provide essential guidance on protecting digital assets, recognizing cyber threats and using effective security practices to prevent future incidents. Great communication and a successful outcome, when it comes to bitcoins recovery, quick contact THE HACK ANGELS RECOVERY EXPERT WhatsApp +1(520)2 0 0-2 3 2 0 Email at [email protected] Website at www.thehackangels.com If you're in London, you can even visit them in person at their office located at 45-46 Red Lion Street, London WC1R 4PF, UK. Don’t hesitate to reach out if you need help! And ready to reclaim what's rightfully yours?

  • 11.08.25 10:33 Morris Jason

    HIRE A REPUTABLE RECOVERY FIRM THAT HELPED ME RETRIEVE MY LOST INVESTMENT FUNDS : THE HACK ANGELS If you’re lost your Bitcoin to scammers, and you’re searching for trustworthy recovery services, getting in touch with THE HACK ANGELS is the only way to get your Bitcoin back. After losing my Bitcoin investments. I was determined to find a solution. I began by researching online and found several recovery services claiming to retrieve lost Bitcoin. However, most of these services turned out to be scams themselves. I thought I’d never see my funds again. It was then that I came across THE HACK ANGELS. A reputable Bitcoin recovery expert with a proven track record of retrieving lost Funds. I reached out to him, and he responded promptly, explaining the process of recovering my lost Bitcoin. They provide essential guidance on protecting digital assets, recognizing cyber threats and using effective security practices to prevent future incidents. Great communication and a successful outcome, when it comes to bitcoins recovery, quick contact THE HACK ANGELS RECOVERY EXPERT WhatsApp +1(520)2 0 0-2 3 2 0 Email at [email protected] Website at www.thehackangels.com If you're in London, you can even visit them in person at their office located at 45-46 Red Lion Street, London WC1R 4PF, UK. Don’t hesitate to reach out if you need help! And ready to reclaim what's rightfully yours?

  • 11.08.25 10:34 Morris Jason

    HIRE A REPUTABLE RECOVERY FIRM THAT HELPED ME RETRIEVE MY LOST INVESTMENT FUNDS : THE HACK ANGELS If you’re lost your Bitcoin to scammers, and you’re searching for trustworthy recovery services, getting in touch with THE HACK ANGELS is the only way to get your Bitcoin back. After losing my Bitcoin investments. I was determined to find a solution. I began by researching online and found several recovery services claiming to retrieve lost Bitcoin. However, most of these services turned out to be scams themselves. I thought I’d never see my funds again. It was then that I came across THE HACK ANGELS. A reputable Bitcoin recovery expert with a proven track record of retrieving lost Funds. I reached out to him, and he responded promptly, explaining the process of recovering my lost Bitcoin. They provide essential guidance on protecting digital assets, recognizing cyber threats and using effective security practices to prevent future incidents. Great communication and a successful outcome, when it comes to bitcoins recovery, quick contact THE HACK ANGELS RECOVERY EXPERT WhatsApp +1(520)2 0 0-2 3 2 0 Email at [email protected] Website at www.thehackangels.com If you're in London, you can even visit them in person at their office located at 45-46 Red Lion Street, London WC1R 4PF, UK. Don’t hesitate to reach out if you need help! And ready to reclaim what's rightfully yours?

  • 11.08.25 10:34 Morris Jason

    HIRE A REPUTABLE RECOVERY FIRM THAT HELPED ME RETRIEVE MY LOST INVESTMENT FUNDS : THE HACK ANGELS If you’re lost your Bitcoin to scammers, and you’re searching for trustworthy recovery services, getting in touch with THE HACK ANGELS is the only way to get your Bitcoin back. After losing my Bitcoin investments. I was determined to find a solution. I began by researching online and found several recovery services claiming to retrieve lost Bitcoin. However, most of these services turned out to be scams themselves. I thought I’d never see my funds again. It was then that I came across THE HACK ANGELS. A reputable Bitcoin recovery expert with a proven track record of retrieving lost Funds. I reached out to him, and he responded promptly, explaining the process of recovering my lost Bitcoin. They provide essential guidance on protecting digital assets, recognizing cyber threats and using effective security practices to prevent future incidents. Great communication and a successful outcome, when it comes to bitcoins recovery, quick contact THE HACK ANGELS RECOVERY EXPERT WhatsApp +1(520)2 0 0-2 3 2 0 Email at [email protected] Website at www.thehackangels.com If you're in London, you can even visit them in person at their office located at 45-46 Red Lion Street, London WC1R 4PF, UK. Don’t hesitate to reach out if you need help! And ready to reclaim what's rightfully yours?

  • 11.08.25 11:35 Dennisblaq

    Hi everyone, I'm an entrepreneur, and when I learned about cryptocurrencies and how they potentially triple my income, I was excited to invest. I hope this message finds the correct audience. On the internet, I came across someone who assured me of exceptionally significant returns on my investment. I was readily persuaded by this man's seeming wisdom. I quickly discovered that this cryptocurrency was a hoax and that I was unable to withdraw my money after making a substantial investment. My business was in tatters, and I owed money.Fortunately for me, a pop-up regarding cryptocurrency recovery and cybersecurity specialists that could help me get all of my money back appeared when seeking for help on the internet. This organization, WIZARD JAMES RECOVERY, is a cyber security and cryptocurrency recovery firm that helped me get my investment money back. I sincerely appreciate their assistance and heartily endorse them to anyone in need of cryptocurrency recovery. The following is their contact information: E - M A I L: [email protected] W H A T S A P P: (+ 44 741 836 7204)

  • 11.08.25 13:05 alaincharlotte5

    RECLAIM CRYPTO LOSS: HIRE META TECH RECOVERY PRO TO RECOVER LOST ASSET BACK. The adage "all that glitters is not gold" proved a harsh reality I recently encountered. The digital realm of cryptocurrency investments and exchange platforms is not immune to deception. My pursuit of cryptocurrency investments led me to a seemingly legitimate site, complete with convincing investor testimonials touting successful withdrawals. Unbeknownst to me, it was an elaborate scheme. I invested $210,000.00 worth of cryptocurrency across multiple wallets, as directed by the scammers. Initially, the process mirrored typical modern investments, but my withdrawal requests were met with evasiveness and silence. This represented my entire life savings, accumulated through years of dedicated work, now vanished in an instant. Refusing to accept defeat, I sought assistance from METATECH-RECOVERYPRO, which facilitated a successful recovery. Their process was remarkably efficient. They meticulously traced my lost funds back to the perpetrators, and within a short timeframe, the recovered assets were returned to my bank account. Without this exceptional recovery team, which offered support when all hope seemed lost, my situation would have been dire. To initiate your recovery, I strongly advise sending a detailed email ([email protected]) of your task, outlining your specific circumstances. Ask (META TECH RECOVERY PRO) for help via: Telegram:@metatechrecoveryproteam W/S +1 (469) 692‑8049 thank you.

  • 11.08.25 13:05 alaincharlotte5

    RECLAIM CRYPTO LOSS: HIRE META TECH RECOVERY PRO TO RECOVER LOST ASSET BACK. The adage "all that glitters is not gold" proved a harsh reality I recently encountered. The digital realm of cryptocurrency investments and exchange platforms is not immune to deception. My pursuit of cryptocurrency investments led me to a seemingly legitimate site, complete with convincing investor testimonials touting successful withdrawals. Unbeknownst to me, it was an elaborate scheme. I invested $210,000.00 worth of cryptocurrency across multiple wallets, as directed by the scammers. Initially, the process mirrored typical modern investments, but my withdrawal requests were met with evasiveness and silence. This represented my entire life savings, accumulated through years of dedicated work, now vanished in an instant. Refusing to accept defeat, I sought assistance from METATECH-RECOVERYPRO, which facilitated a successful recovery. Their process was remarkably efficient. They meticulously traced my lost funds back to the perpetrators, and within a short timeframe, the recovered assets were returned to my bank account. Without this exceptional recovery team, which offered support when all hope seemed lost, my situation would have been dire. To initiate your recovery, I strongly advise sending a detailed email ([email protected]) of your task, outlining your specific circumstances. Ask (META TECH RECOVERY PRO) for help via: Telegram:@metatechrecoveryproteam W/S +1 (469) 692‑8049 thank you.

  • 11.08.25 13:05 alaincharlotte5

    RECLAIM CRYPTO LOSS: HIRE META TECH RECOVERY PRO TO RECOVER LOST ASSET BACK. The adage "all that glitters is not gold" proved a harsh reality I recently encountered. The digital realm of cryptocurrency investments and exchange platforms is not immune to deception. My pursuit of cryptocurrency investments led me to a seemingly legitimate site, complete with convincing investor testimonials touting successful withdrawals. Unbeknownst to me, it was an elaborate scheme. I invested $210,000.00 worth of cryptocurrency across multiple wallets, as directed by the scammers. Initially, the process mirrored typical modern investments, but my withdrawal requests were met with evasiveness and silence. This represented my entire life savings, accumulated through years of dedicated work, now vanished in an instant. Refusing to accept defeat, I sought assistance from METATECH-RECOVERYPRO, which facilitated a successful recovery. Their process was remarkably efficient. They meticulously traced my lost funds back to the perpetrators, and within a short timeframe, the recovered assets were returned to my bank account. Without this exceptional recovery team, which offered support when all hope seemed lost, my situation would have been dire. To initiate your recovery, I strongly advise sending a detailed email ([email protected]) of your task, outlining your specific circumstances. Ask (META TECH RECOVERY PRO) for help via: Telegram:@metatechrecoveryproteam W/S +1 (469) 692‑8049 thank you.

  • 11.08.25 17:49 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: 📧 Email: [email protected] 📱 Telegram: @Capitalcryptorecover Contact: [email protected] 📞 Call/Text: +1 (336) 390-6684 🌐 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 11.08.25 17:49 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: 📧 Email: [email protected] 📱 Telegram: @Capitalcryptorecover Contact: [email protected] 📞 Call/Text: +1 (336) 390-6684 🌐 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 11.08.25 17:49 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: 📧 Email: [email protected] 📱 Telegram: @Capitalcryptorecover Contact: [email protected] 📞 Call/Text: +1 (336) 390-6684 🌐 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 11.08.25 19:46 KEVIN3

    HOW I RECOVER MY LOST FUNDS AFTER INVESTING Exercise extreme caution when dealing with this company. They scammed me $800,000 out of my money and even gained unauthorized access to my banking information, which severely impacted my financial well-being. I had initially approached them with the hope of improving my life through investment, but instead, I was deceived. This company should be thoroughly investigated and shut down to prevent further harm. Fortunately, I was able to recover my funds thanks to Mrs. Rose. Although I was initially hesitant and unsure about contacting her, I decided to take the risk and I’m so glad I did. You can reach her via telegram 📱(@RoseCyberHives) and email rosecryptorecovery@gmail. com With the help of her skilled team of cybersecurity professionals and cryptocurrency experts, I was able to recover my lost funds quickly and with minimal stress, a sharp contrast to my previous experience. If you’ve been scammed or are in a similar situation, I highly recommend reaching out to her for assistance. via telegram 📱 (@RoseCyberHives) rosecryptorecovery@gmail. com

  • 11.08.25 20:06 KEVIN3

    HOW I RECOVER MY LOST FUNDS AFTER INVESTING Exercise extreme caution when dealing with this company. They scammed me $800,000 out of my money and even gained unauthorized access to my banking information, which severely impacted my financial well-being. I had initially approached them with the hope of improving my life through investment, but instead, I was deceived. This company should be thoroughly investigated and shut down to prevent further harm. Fortunately, I was able to recover my funds thanks to Mrs. Rose. Although I was initially hesitant and unsure about contacting her, I decided to take the risk and I’m so glad I did. You can reach her via telegram 📱(@RoseCyberHives) and email rosecryptorecovery@gmail. com With the help of her skilled team of cybersecurity professionals and cryptocurrency experts, I was able to recover my lost funds quickly and with minimal stress, a sharp contrast to my previous experience. If you’ve been scammed or are in a similar situation, I highly recommend reaching out to her for assistance. via telegram 📱 (@RoseCyberHives) rosecryptorecovery@gmail. com

  • 12.08.25 02:43 michaeldavenport218

    I was recently scammed out of $53,000 by a fraudulent Bitcoin investment scheme, which added significant stress to my already difficult health issues, as I was also facing cancer surgery expenses. Desperate to recover my funds, I spent hours researching and consulting other victims, which led me to discover the excellent reputation of Capital Crypto Recover, I came across a Google post It was only after spending many hours researching and asking other victims for advice that I discovered Capital Crypto Recovery’s stellar reputation. I decided to contact them because of their successful recovery record and encouraging client testimonials. I had no idea that this would be the pivotal moment in my fight against cryptocurrency theft. Thanks to their expert team, I was able to recover my lost cryptocurrency back. The process was intricate, but Capital Crypto Recovery's commitment to utilizing the latest technology ensured a successful outcome. I highly recommend their services to anyone who has fallen victim to cryptocurrency fraud. For assistance contact [email protected] and on Telegram OR Call Number +1 (336)390-6684 via email: [email protected] you can visit his website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 12.08.25 02:43 michaeldavenport218

    I was recently scammed out of $53,000 by a fraudulent Bitcoin investment scheme, which added significant stress to my already difficult health issues, as I was also facing cancer surgery expenses. Desperate to recover my funds, I spent hours researching and consulting other victims, which led me to discover the excellent reputation of Capital Crypto Recover, I came across a Google post It was only after spending many hours researching and asking other victims for advice that I discovered Capital Crypto Recovery’s stellar reputation. I decided to contact them because of their successful recovery record and encouraging client testimonials. I had no idea that this would be the pivotal moment in my fight against cryptocurrency theft. Thanks to their expert team, I was able to recover my lost cryptocurrency back. The process was intricate, but Capital Crypto Recovery's commitment to utilizing the latest technology ensured a successful outcome. I highly recommend their services to anyone who has fallen victim to cryptocurrency fraud. For assistance contact [email protected] and on Telegram OR Call Number +1 (336)390-6684 via email: [email protected] you can visit his website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 12.08.25 02:43 michaeldavenport218

    I was recently scammed out of $53,000 by a fraudulent Bitcoin investment scheme, which added significant stress to my already difficult health issues, as I was also facing cancer surgery expenses. Desperate to recover my funds, I spent hours researching and consulting other victims, which led me to discover the excellent reputation of Capital Crypto Recover, I came across a Google post It was only after spending many hours researching and asking other victims for advice that I discovered Capital Crypto Recovery’s stellar reputation. I decided to contact them because of their successful recovery record and encouraging client testimonials. I had no idea that this would be the pivotal moment in my fight against cryptocurrency theft. Thanks to their expert team, I was able to recover my lost cryptocurrency back. The process was intricate, but Capital Crypto Recovery's commitment to utilizing the latest technology ensured a successful outcome. I highly recommend their services to anyone who has fallen victim to cryptocurrency fraud. For assistance contact [email protected] and on Telegram OR Call Number +1 (336)390-6684 via email: [email protected] you can visit his website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 12.08.25 16:48 ahmed11

    It takes a team to recover lost money from scams. Recovery professionals locate stolen money by using their expertise. The best course of action is advised by legal professionals. This helps you get your money back. Identifying warning indicators is a crucial lesson learned from frauds. Promises of large, fast, risk-free profits should be avoided. They may put pressure on you to make an investment right away. For assistance avoiding frauds in the future, get in touch with Marie. She can also help you retrieve your misplaced Bitcoin. You can reach her on Telegram at @Marie_consultancy or via email at [email protected]. Also, you can use WhatsApp at +1 7127594675.

  • 12.08.25 17:13 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: 📧 Email: [email protected] 📱 Telegram: @Capitalcryptorecover Contact: [email protected] 📞 Call/Text: +1 (336) 390-6684 🌐 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 12.08.25 17:13 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: 📧 Email: [email protected] 📱 Telegram: @Capitalcryptorecover Contact: [email protected] 📞 Call/Text: +1 (336) 390-6684 🌐 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 12.08.25 18:44 edinavida027

    CRYPTO TRACING AND RECOVERY: HIRE A LEGITIMATE RECOVERY EXPERT" CONTACT RAPID DIGITAL RECOVERY

  • 12.08.25 18:44 edinavida027

    A recruiter named Emma Zhang reached out to me on LinkedIn regarding an intriguing job opportunity that piqued my interest. She presented a position for a Crypto Security Specialist with a Coinbase-certified firm. Her profile appeared legitimate, boasting over 1200 connections and numerous endorsements from industry professionals that seemed authentic. The offer was enticing: a salary of $180,000 plus bonuses, all disbursed in Bitcoin. The recruiter promptly sent me an email from a seemingly official domain , which closely resembled Coinbase's actual email addresses. It felt like an incredible opportunity. However, there was a stipulation: to qualify for the position, I needed to confirm that I possessed at least 4 BTC. This requirement struck me as peculiar but not entirely implausible, given the nature of the role. At that moment, I had sufficient BTC to meet the demand, so I decided to proceed. The HR representative directed me to a portal that closely mimicked Coinbase's official interface. It was convincing enough that I didn’t hesitate to log in and complete the necessary steps. Unfortunately, that was where everything began to unravel. I was instructed to send a verification deposit of 1 BTC to confirm my ownership. Since everything appeared legitimate, I complied without hesitation. However, the moment I transferred the BTC, an unsettling feeling washed over me. The following day, I noticed that the remaining 3 BTC in my wallet began to vanish. My heart sank as I realized something was terribly amiss. I immediately attempted to reach out to both the HR representative and the company, but my efforts were met with silence. Upon checking the LinkedIn profiles of Emma Zhang and her team, I discovered they had mysteriously vanished. I was left with nothing no job offer, no recruiter, and no Bitcoin. I turned to the internet in search of solutions. That’s when I stumbled upon RAPID DIGITAL RECOVERY, a company specializing in Bitcoin recovery. I contacted them, and they assured me they could assist in recovering my lost funds. After a tense and arduous process, they successfully retrieved my stolen BTC. The relief I felt was indescribable, and I am profoundly grateful to RAPID DIGITAL RECOVERY for their expertise and unwavering support. CONTACT INFO BELOW Email: rapid digital recovery (@) execs. com Telegram: htt ps: // t. me/ Rapid digital recovery519 WhatSapp: +1 4 1 4 8 0 7 1 4 8 5

  • 12.08.25 19:15 vallatjosette

    Fortunately, my luck changed when I encountered Wizard Hilton Cyber Tech. Their expertise and dedication to helping victims of cryptocurrency scams are truly remarkable. They worked tirelessly to track down the scammers and recover my lost crypto coins.Email : wizardhiltoncybertech ( @ ) gmail (. ) com     OR support ( @ ) wizardhiltoncybertech (.) com

  • 12.08.25 23:07 babatunde162

    I recommend Marie when it comes to recovering lost/stolen usdt/bitcoin or any kind of cryptocurrencies' from fake investment platforms because they're well specialized in that area and you'll get your money back in full. I can boldly say this right now based on my prior deal i had with them; she was the only one who was able to recover my lost money $52,760 dollars back to my account, Only • ([email protected] and telegram:@Marie_consultancy or whatsapp +1 7127594675) she was successful in recovering my money. They are the only one who can fully restore your lost funds to your account without any deductions, I really value their work and am recommending her to you today. THANK ME LATER

  • 13.08.25 06:11 tyler231

    DO YOU REQUIRE TECHNICAL SKILLS TO SOLVE YOUR HACKING RELATED PROBLEMS? ●Hacking of all social media accounts ●Spying on cheating partner ●Retrieving of lost Cryptocurrency ●Data alteration ●Finding of lost phone ●Clearing/paying off of mortgage/loan ●Increasing of credit score ●Bitcoin mining ●Tracking of location ●Hacking of cell phone/other devices ●Block out or track down hackers Secure yourself now!!! Contact: [email protected] OR WHATSAPP+14106350697 They are the best at what they do they helped me out and i am here to testify contact them and come back testifying

  • 13.08.25 07:01 Morris Jason

    HIRE A REPUTABLE RECOVERY FIRM THAT HELPED ME RETRIEVE MY LOST INVESTMENT FUNDS : THE HACK ANGELS If you’re lost your Bitcoin to scammers, and you’re searching for trustworthy recovery services, getting in touch with THE HACK ANGELS is the only way to get your Bitcoin back. After losing my Bitcoin investments. I was determined to find a solution. I began by researching online and found several recovery services claiming to retrieve lost Bitcoin. However, most of these services turned out to be scams themselves. I thought I’d never see my funds again. It was then that I came across THE HACK ANGELS. A reputable Bitcoin recovery expert with a proven track record of retrieving lost Funds. I reached out to him, and he responded promptly, explaining the process of recovering my lost Bitcoin. They provide essential guidance on protecting digital assets, recognizing cyber threats and using effective security practices to prevent future incidents. Great communication and a successful outcome, when it comes to bitcoins recovery, quick contact THE HACK ANGELS RECOVERY EXPERT WhatsApp +1(520)2 0 0-2 3 2 0 Email at [email protected] Website at www.thehackangels.com If you're in London, you can even visit them in person at their office located at 45-46 Red Lion Street, London WC1R 4PF, UK. Don’t hesitate to reach out if you need help! And ready to reclaim what's rightfully yours?

  • 13.08.25 07:01 Morris Jason

    HIRE A REPUTABLE RECOVERY FIRM THAT HELPED ME RETRIEVE MY LOST INVESTMENT FUNDS : THE HACK ANGELS If you’re lost your Bitcoin to scammers, and you’re searching for trustworthy recovery services, getting in touch with THE HACK ANGELS is the only way to get your Bitcoin back. After losing my Bitcoin investments. I was determined to find a solution. I began by researching online and found several recovery services claiming to retrieve lost Bitcoin. However, most of these services turned out to be scams themselves. I thought I’d never see my funds again. It was then that I came across THE HACK ANGELS. A reputable Bitcoin recovery expert with a proven track record of retrieving lost Funds. I reached out to him, and he responded promptly, explaining the process of recovering my lost Bitcoin. They provide essential guidance on protecting digital assets, recognizing cyber threats and using effective security practices to prevent future incidents. Great communication and a successful outcome, when it comes to bitcoins recovery, quick contact THE HACK ANGELS RECOVERY EXPERT WhatsApp +1(520)2 0 0-2 3 2 0 Email at [email protected] Website at www.thehackangels.com If you're in London, you can even visit them in person at their office located at 45-46 Red Lion Street, London WC1R 4PF, UK. Don’t hesitate to reach out if you need help! And ready to reclaim what's rightfully yours?

  • 13.08.25 07:01 Morris Jason

    HIRE A REPUTABLE RECOVERY FIRM THAT HELPED ME RETRIEVE MY LOST INVESTMENT FUNDS : THE HACK ANGELS If you’re lost your Bitcoin to scammers, and you’re searching for trustworthy recovery services, getting in touch with THE HACK ANGELS is the only way to get your Bitcoin back. After losing my Bitcoin investments. I was determined to find a solution. I began by researching online and found several recovery services claiming to retrieve lost Bitcoin. However, most of these services turned out to be scams themselves. I thought I’d never see my funds again. It was then that I came across THE HACK ANGELS. A reputable Bitcoin recovery expert with a proven track record of retrieving lost Funds. I reached out to him, and he responded promptly, explaining the process of recovering my lost Bitcoin. They provide essential guidance on protecting digital assets, recognizing cyber threats and using effective security practices to prevent future incidents. Great communication and a successful outcome, when it comes to bitcoins recovery, quick contact THE HACK ANGELS RECOVERY EXPERT WhatsApp +1(520)2 0 0-2 3 2 0 Email at [email protected] Website at www.thehackangels.com If you're in London, you can even visit them in person at their office located at 45-46 Red Lion Street, London WC1R 4PF, UK. Don’t hesitate to reach out if you need help! And ready to reclaim what's rightfully yours?

  • 13.08.25 08:26 Morris Jason

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  • 13.08.25 08:27 Morris Jason

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  • 13.08.25 08:27 Morris Jason

    HIRE A REPUTABLE RECOVERY FIRM THAT HELPED ME RETRIEVE MY LOST INVESTMENT FUNDS : THE HACK ANGELS If you’re lost your Bitcoin to scammers, and you’re searching for trustworthy recovery services, getting in touch with THE HACK ANGELS is the only way to get your Bitcoin back. After losing my Bitcoin investments. I was determined to find a solution. I began by researching online and found several recovery services claiming to retrieve lost Bitcoin. However, most of these services turned out to be scams themselves. I thought I’d never see my funds again. It was then that I came across THE HACK ANGELS. A reputable Bitcoin recovery expert with a proven track record of retrieving lost Funds. I reached out to him, and he responded promptly, explaining the process of recovering my lost Bitcoin. They provide essential guidance on protecting digital assets, recognizing cyber threats and using effective security practices to prevent future incidents. Great communication and a successful outcome, when it comes to bitcoins recovery, quick contact THE HACK ANGELS RECOVERY EXPERT WhatsApp +1(520)2 0 0-2 3 2 0 Email at [email protected] Website at www.thehackangels.com If you're in London, you can even visit them in person at their office located at 45-46 Red Lion Street, London WC1R 4PF, UK. Don’t hesitate to reach out if you need help! And ready to reclaim what's rightfully yours?

  • 13.08.25 10:37 babatunde162

    Since Marie is an expert in recovering lost or stolen USDT, bitcoin, or any other cryptocurrency from fraudulent investment platforms, I suggest them for this task. You will receive your money back in full. I can confidently state this at this time because of my previous transaction with them: she was the only one who successfully returned $52,760 of my lost funds to my account. Her contact information is [email protected], and her telegram handle is @Marie_consultancy or +1 7127594675. Because they are the only ones that can completely return your lost money to your account without taking any money out, I truly appreciate what they do and am suggesting her to you today. Afterward, thank you.

  • 13.08.25 13:15 Bartlevi

    Sylvester showcased remarkable talent. He brought back over $610,000 in crypto. This felt like a massive win. His help went beyond this first success. He worked hard to get back more lost money. He stayed in touch all the time. He kept me in the loop. The whole process was very honest. There were no hidden fees or tricky ways. My money went straight to my crypto account. The transfer was easy. Sylvester Bryant is the most honest recovery agent I know. If you're in a similar spot, contact him now. You can email Sylvester at yt7cracker@gmail. com. Or reach him on WhatsApp at +1 (512) 577-7957. Don't give up hope. Sylvester can find your stolen money. He did it for me. You can get your money back. Sylvester Bryant will help you recover your funds.

  • 13.08.25 14:23 Morris Jason

    HIRE A REPUTABLE RECOVERY FIRM THAT HELPED ME RETRIEVE MY LOST INVESTMENT FUNDS : THE HACK ANGELS If you’re lost your Bitcoin to scammers, and you’re searching for trustworthy recovery services, getting in touch with THE HACK ANGELS is the only way to get your Bitcoin back. After losing my Bitcoin investments. I was determined to find a solution. I began by researching online and found several recovery services claiming to retrieve lost Bitcoin. However, most of these services turned out to be scams themselves. I thought I’d never see my funds again. It was then that I came across THE HACK ANGELS. A reputable Bitcoin recovery expert with a proven track record of retrieving lost Funds. I reached out to him, and he responded promptly, explaining the process of recovering my lost Bitcoin. They provide essential guidance on protecting digital assets, recognizing cyber threats and using effective security practices to prevent future incidents. Great communication and a successful outcome, when it comes to bitcoins recovery, quick contact THE HACK ANGELS RECOVERY EXPERT WhatsApp +1(520)2 0 0-2 3 2 0 Email at [email protected] Website at www.thehackangels.com If you're in London, you can even visit them in person at their office located at 45-46 Red Lion Street, London WC1R 4PF, UK. Don’t hesitate to reach out if you need help! And ready to reclaim what's rightfully yours?

  • 13.08.25 14:23 Morris Jason

    HIRE A REPUTABLE RECOVERY FIRM THAT HELPED ME RETRIEVE MY LOST INVESTMENT FUNDS : THE HACK ANGELS If you’re lost your Bitcoin to scammers, and you’re searching for trustworthy recovery services, getting in touch with THE HACK ANGELS is the only way to get your Bitcoin back. After losing my Bitcoin investments. I was determined to find a solution. I began by researching online and found several recovery services claiming to retrieve lost Bitcoin. However, most of these services turned out to be scams themselves. I thought I’d never see my funds again. It was then that I came across THE HACK ANGELS. A reputable Bitcoin recovery expert with a proven track record of retrieving lost Funds. I reached out to him, and he responded promptly, explaining the process of recovering my lost Bitcoin. They provide essential guidance on protecting digital assets, recognizing cyber threats and using effective security practices to prevent future incidents. Great communication and a successful outcome, when it comes to bitcoins recovery, quick contact THE HACK ANGELS RECOVERY EXPERT WhatsApp +1(520)2 0 0-2 3 2 0 Email at [email protected] Website at www.thehackangels.com If you're in London, you can even visit them in person at their office located at 45-46 Red Lion Street, London WC1R 4PF, UK. Don’t hesitate to reach out if you need help! And ready to reclaim what's rightfully yours?

  • 13.08.25 19:46 marcushenderson624

    Bitcoin Recovery Testimonial After falling victim to a cryptocurrency scam group, I lost $354,000 worth of USDT. I thought all hope was lost from the experience of losing my hard-earned money to scammers. I was devastated and believed there was no way to recover my funds. Fortunately, I started searching for help to recover my stolen funds and I came across a lot of testimonials online about Capital Crypto Recovery, an agent who helps in recovery of lost bitcoin funds, I contacted Capital Crypto Recover Service, and with their expertise, they successfully traced and recovered my stolen assets. Their team was professional, kept me updated throughout the process, and demonstrated a deep understanding of blockchain transactions and recovery protocols. They are trusted and very reliable with a 100% successful rate record Recovery bitcoin, I’m grateful for their help and highly recommend their services to anyone seeking assistance with lost crypto. Contact: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 13.08.25 19:46 marcushenderson624

    Bitcoin Recovery Testimonial After falling victim to a cryptocurrency scam group, I lost $354,000 worth of USDT. I thought all hope was lost from the experience of losing my hard-earned money to scammers. I was devastated and believed there was no way to recover my funds. Fortunately, I started searching for help to recover my stolen funds and I came across a lot of testimonials online about Capital Crypto Recovery, an agent who helps in recovery of lost bitcoin funds, I contacted Capital Crypto Recover Service, and with their expertise, they successfully traced and recovered my stolen assets. Their team was professional, kept me updated throughout the process, and demonstrated a deep understanding of blockchain transactions and recovery protocols. They are trusted and very reliable with a 100% successful rate record Recovery bitcoin, I’m grateful for their help and highly recommend their services to anyone seeking assistance with lost crypto. Contact: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 13.08.25 19:46 marcushenderson624

    Bitcoin Recovery Testimonial After falling victim to a cryptocurrency scam group, I lost $354,000 worth of USDT. I thought all hope was lost from the experience of losing my hard-earned money to scammers. I was devastated and believed there was no way to recover my funds. Fortunately, I started searching for help to recover my stolen funds and I came across a lot of testimonials online about Capital Crypto Recovery, an agent who helps in recovery of lost bitcoin funds, I contacted Capital Crypto Recover Service, and with their expertise, they successfully traced and recovered my stolen assets. Their team was professional, kept me updated throughout the process, and demonstrated a deep understanding of blockchain transactions and recovery protocols. They are trusted and very reliable with a 100% successful rate record Recovery bitcoin, I’m grateful for their help and highly recommend their services to anyone seeking assistance with lost crypto. Contact: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 13.08.25 19:50 babatunde162

    When it comes to recovering lost or stolen bitcoin, USDT, or any other cryptocurrency from fraudulent investment platforms, I suggest Marie because they are highly skilled in the field and will return all of your money. Based on my previous transaction with them, I can state with confidence that she was the only one who successfully returned $52,760 of my lost funds to my account. Her email address is [email protected], and her telegram handle is @Marie_consultancy, or her WhatsApp number is +1 7127594675. I truly appreciate their work and am suggesting her to you today because they are the only ones who can completely return your missing money to your account without any deductions.

  • 14.08.25 00:20 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: 📧 Email: [email protected] 📱 Telegram: @Capitalcryptorecover Contact: [email protected] 📞 Call/Text: +1 (336) 390-6684 🌐 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 14.08.25 00:20 robertalfred175

    CRYPTO SCAM RECOVERY SUCCESSFUL – A TESTIMONIAL OF LOST PASSWORD TO YOUR DIGITAL WALLET BACK. My name is Robert Alfred, Am from Australia. I’m sharing my experience in the hope that it helps others who have been victims of crypto scams. A few months ago, I fell victim to a fraudulent crypto investment scheme linked to a broker company. I had invested heavily during a time when Bitcoin prices were rising, thinking it was a good opportunity. Unfortunately, I was scammed out of $120,000 AUD and the broker denied me access to my digital wallet and assets. It was a devastating experience that caused many sleepless nights. Crypto scams are increasingly common and often involve fake trading platforms, phishing attacks, and misleading investment opportunities. In my desperation, a friend from the crypto community recommended Capital Crypto Recovery Service, known for helping victims recover lost or stolen funds. After doing some research and reading multiple positive reviews, I reached out to Capital Crypto Recovery. I provided all the necessary information—wallet addresses, transaction history, and communication logs. Their expert team responded immediately and began investigating. Using advanced blockchain tracking techniques, they were able to trace the stolen Dogecoin, identify the scammer’s wallet, and coordinate with relevant authorities to freeze the funds before they could be moved. Incredibly, within 24 hours, Capital Crypto Recovery successfully recovered the majority of my stolen crypto assets. I was beyond relieved and truly grateful. Their professionalism, transparency, and constant communication throughout the process gave me hope during a very difficult time. If you’ve been a victim of a crypto scam, I highly recommend them with full confidence contacting: 📧 Email: [email protected] 📱 Telegram: @Capitalcryptorecover Contact: [email protected] 📞 Call/Text: +1 (336) 390-6684 🌐 Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 14.08.25 17:47 Joanne Ruth

    The innovative company Captain Jack Recovery was created to address the challenges associated with recovering cryptocurrency assets.  A group of seasoned professionals with backgrounds in offshore legal solutions, asset recovery, crypto intelligence, and crypto investigations founded Captain Jack Recovery.  For people and companies who have been the victims of bitcoin fraud or theft, his goal is to offer complete recovery options. Conatc address ([email protected])

  • 14.08.25 18:27 lisared

    Losing nearly 500,000 USDT to hackers was one of the most devastating experience of my life. I felt powerless as my hard-earned assets vanished into anonymous blockchain transactions until I found Agent Jasmine Lopez. Her deep expertise, tireless effort, and unwavering focus gave me hope and delivered results. She traced complex transactions, pursued every lead, and recovered a large portion of my stolen funds something I never thought possible. If you’ve lost digital assets, don’t give up. Contact her at recoveryfundprovider [AT] gmail [DOT] com Whats//App at +{44 736-644-5035}. She turned my nightmare into a recovery story, and she could do the same for you

  • 14.08.25 19:23 Joanne Ruth

    The innovative company Captain Jack Recovery was created to address the challenges associated with recovering cryptocurrency assets.  A group of seasoned professionals with backgrounds in offshore legal solutions, asset recovery, crypto intelligence, and crypto investigations founded Captain Jack Recovery.  For people and companies who have been the victims of bitcoin fraud or theft, his goal is to offer complete recovery options. Conatc address ([email protected])

  • 14.08.25 21:49 Rickbayford

    If you need to recover cryptocurrency that has been lost to wallet hackers, internet scammers, or BTC transferred to the wrong address, I suggest Wizard James Recovery, a very trustworthy recovery organization. Just by sending my case to the Expert and supplying the necessary data, Wizard James Recovery was able to help me recover my Bitcoin. I'm glad I was able to recover this much after losing even more to the fraudulent broker I initially put my belief in. Errors are unavoidable, thus we can never be careful enough. If you have lost money to cryptocurrency scams, I strongly advise getting in touch with Wizard James Recovery. Mail: ([email protected])

  • 15.08.25 03:10 KEVIN3

    HOW I RECOVER MY LOST FUNDS AFTER INVESTING Exercise extreme caution when dealing with this company. They scammed me $800,000 out of my money and even gained unauthorized access to my banking information, which severely impacted my financial well-being. I had initially approached them with the hope of improving my life through investment, but instead, I was deceived. This company should be thoroughly investigated and shut down to prevent further harm. Fortunately, I was able to recover my funds thanks to Mrs. Rose. Although I was initially hesitant and unsure about contacting her, I decided to take the risk and I’m so glad I did. You can reach her via telegram (@RoseCyberHives) and email rosecryptorecovery@gmail. com With the help of her skilled team of cybersecurity professionals and cryptocurrency experts, I was able to recover my lost funds quickly and with minimal stress, a sharp contrast to my previous experience. If you’ve been scammed or are in a similar situation, I highly recommend reaching out to her for assistance. via telegram (@RoseCyberHives) rosecryptorecovery@gmail. com

  • 15.08.25 04:59 marcushenderson624

    Bitcoin Recovery Testimonial After falling victim to a cryptocurrency scam group, I lost $354,000 worth of USDT. I thought all hope was lost from the experience of losing my hard-earned money to scammers. I was devastated and believed there was no way to recover my funds. Fortunately, I started searching for help to recover my stolen funds and I came across a lot of testimonials online about Capital Crypto Recovery, an agent who helps in recovery of lost bitcoin funds, I contacted Capital Crypto Recover Service, and with their expertise, they successfully traced and recovered my stolen assets. Their team was professional, kept me updated throughout the process, and demonstrated a deep understanding of blockchain transactions and recovery protocols. They are trusted and very reliable with a 100% successful rate record Recovery bitcoin, I’m grateful for their help and highly recommend their services to anyone seeking assistance with lost crypto. Contact: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 15.08.25 04:59 marcushenderson624

    Bitcoin Recovery Testimonial After falling victim to a cryptocurrency scam group, I lost $354,000 worth of USDT. I thought all hope was lost from the experience of losing my hard-earned money to scammers. I was devastated and believed there was no way to recover my funds. Fortunately, I started searching for help to recover my stolen funds and I came across a lot of testimonials online about Capital Crypto Recovery, an agent who helps in recovery of lost bitcoin funds, I contacted Capital Crypto Recover Service, and with their expertise, they successfully traced and recovered my stolen assets. Their team was professional, kept me updated throughout the process, and demonstrated a deep understanding of blockchain transactions and recovery protocols. They are trusted and very reliable with a 100% successful rate record Recovery bitcoin, I’m grateful for their help and highly recommend their services to anyone seeking assistance with lost crypto. Contact: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 15.08.25 04:59 marcushenderson624

    Bitcoin Recovery Testimonial After falling victim to a cryptocurrency scam group, I lost $354,000 worth of USDT. I thought all hope was lost from the experience of losing my hard-earned money to scammers. I was devastated and believed there was no way to recover my funds. Fortunately, I started searching for help to recover my stolen funds and I came across a lot of testimonials online about Capital Crypto Recovery, an agent who helps in recovery of lost bitcoin funds, I contacted Capital Crypto Recover Service, and with their expertise, they successfully traced and recovered my stolen assets. Their team was professional, kept me updated throughout the process, and demonstrated a deep understanding of blockchain transactions and recovery protocols. They are trusted and very reliable with a 100% successful rate record Recovery bitcoin, I’m grateful for their help and highly recommend their services to anyone seeking assistance with lost crypto. Contact: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 15.08.25 04:59 marcushenderson624

    Bitcoin Recovery Testimonial After falling victim to a cryptocurrency scam group, I lost $354,000 worth of USDT. I thought all hope was lost from the experience of losing my hard-earned money to scammers. I was devastated and believed there was no way to recover my funds. Fortunately, I started searching for help to recover my stolen funds and I came across a lot of testimonials online about Capital Crypto Recovery, an agent who helps in recovery of lost bitcoin funds, I contacted Capital Crypto Recover Service, and with their expertise, they successfully traced and recovered my stolen assets. Their team was professional, kept me updated throughout the process, and demonstrated a deep understanding of blockchain transactions and recovery protocols. They are trusted and very reliable with a 100% successful rate record Recovery bitcoin, I’m grateful for their help and highly recommend their services to anyone seeking assistance with lost crypto. Contact: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 15.08.25 09:13 eva117

    Recovery experts and legal experts work together to get back stolen money. They use special skills to find and retrieve assets. This teamwork improves your chances of success. Learning to spot scam warnings is key. Look out for promises of big returns with no risk. Be wary of pressure to invest fast. Contact Marie at [email protected], Telegram @Marie_consultancy, or WhatsApp +1 7127594675. She can help you avoid future scams and recover lost bitcoin

  • 15.08.25 13:27 wendytaylor015

    My name is Wendy Taylor, I'm from Los Angeles, i want to announce to you Viewer how Capital Crypto Recover help me to restore my Lost Bitcoin, I invested with a Crypto broker without proper research to know what I was hoarding my hard-earned money into scammers, i lost access to my crypto wallet or had your funds stolen? Don’t worry Capital Crypto Recover is here to help you recover your cryptocurrency with cutting-edge technical expertise, With years of experience in the crypto world, Capital Crypto Recover employs the best latest tools and ethical hacking techniques to help you recover lost assets, unlock hacked accounts, Whether it’s a forgotten password, Capital Crypto Recover has the expertise to help you get your crypto back. a security company service that has a 100% success rate in the recovery of crypto assets, i lost wallet and hacked accounts. I provided them the information they requested and they began their investigation. To my surprise, Capital Crypto Recover was able to trace and recover my crypto assets successfully within 24hours. Thank you for your service in helping me recover my $647,734 worth of crypto funds and I highly recommend their recovery services, they are reliable and a trusted company to any individuals looking to recover lost money. Contact email [email protected] OR Telegram @Capitalcryptorecover Call/Text Number +1 (336)390-6684 his contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 15.08.25 13:27 wendytaylor015

    My name is Wendy Taylor, I'm from Los Angeles, i want to announce to you Viewer how Capital Crypto Recover help me to restore my Lost Bitcoin, I invested with a Crypto broker without proper research to know what I was hoarding my hard-earned money into scammers, i lost access to my crypto wallet or had your funds stolen? Don’t worry Capital Crypto Recover is here to help you recover your cryptocurrency with cutting-edge technical expertise, With years of experience in the crypto world, Capital Crypto Recover employs the best latest tools and ethical hacking techniques to help you recover lost assets, unlock hacked accounts, Whether it’s a forgotten password, Capital Crypto Recover has the expertise to help you get your crypto back. a security company service that has a 100% success rate in the recovery of crypto assets, i lost wallet and hacked accounts. I provided them the information they requested and they began their investigation. To my surprise, Capital Crypto Recover was able to trace and recover my crypto assets successfully within 24hours. Thank you for your service in helping me recover my $647,734 worth of crypto funds and I highly recommend their recovery services, they are reliable and a trusted company to any individuals looking to recover lost money. Contact email [email protected] OR Telegram @Capitalcryptorecover Call/Text Number +1 (336)390-6684 his contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 15.08.25 20:26 caitlinfedex

    After my wife passed, I found myself lonely and searching for connection. I joined a senior living forum just to talk with others my age to share stories, maybe feel a little less isolated. That’s where I met a man who claimed to be helping retirees like me manage their savings with cryptocurrency. He spoke warmly and convincingly about a retirement care fund that guaranteed lifetime monthly payouts. He said it was specifically designed for people in my stage of life safe secure and backed by health organizations. He gained my trust over weeks of conversation. We spoke daily. He called me by name asked about my late wife, and remembered little details about my life. I believed he genuinely cared. Eventually, I transferred $200000 in USDT the majority of my retirement savings, into the wallet address he provided. That was the last time I heard from him. The forum profile vanished. His phone number stopped working. No response to emails. I was stunned. I couldn’t believe I had been tricked. I didn’t know who to turn to. I felt ashamed and foolish. At my age recovering from a financial loss like this is nearly impossible.My relative stepped in. They searched online for solutions and found TRUST GEEKS HACK EXPERT. I was skeptical at first but they insisted we give them a chance. From the moment we contacted them they treated me with respect patience and genuine concern. Their team didn’t speak in technical riddles. They explained every step. They used blockchain analysis tools to trace the movement of my funds through several addresses.It turned out the wallet was linked to a scam platform. TRUST GEEKS HACK EXPERT worked directly with the USDT issuer and coordinated with relevant platforms to freeze the funds before they were fully laundered.In just two weeks they managed to recover $155000 in USDT.The money helped yes but it was more than that. I no longer felt powerless. I had been taken advantage of but I wasn’t alone in the fight. Thanks to TRUST GEEKS HACK EXPERT I got back not only a large part of my savings but also peace of mind a sense of dignity and hope for the future. If you ever find yourself in such situation I encourage you to contact TRUST GEEKS HACK EXPERT Email.trustgeekshackexpert{At}fastservice{Dot}com — Telegram:: Trustgeekshackexpert & W h a t's A p p  +1 7 1 9 4 9 2 2 6 9 3

  • 15.08.25 20:27 caitlinfedex

    After my wife passed, I found myself lonely and searching for connection. I joined a senior living forum just to talk with others my age to share stories, maybe feel a little less isolated. That’s where I met a man who claimed to be helping retirees like me manage their savings with cryptocurrency. He spoke warmly and convincingly about a retirement care fund that guaranteed lifetime monthly payouts. He said it was specifically designed for people in my stage of life safe secure and backed by health organizations. He gained my trust over weeks of conversation. We spoke daily. He called me by name asked about my late wife, and remembered little details about my life. I believed he genuinely cared. Eventually, I transferred $200000 in USDT the majority of my retirement savings, into the wallet address he provided. That was the last time I heard from him. The forum profile vanished. His phone number stopped working. No response to emails. I was stunned. I couldn’t believe I had been tricked. I didn’t know who to turn to. I felt ashamed and foolish. At my age recovering from a financial loss like this is nearly impossible.My relative stepped in. They searched online for solutions and found TRUST GEEKS HACK EXPERT. I was skeptical at first but they insisted we give them a chance. From the moment we contacted them they treated me with respect patience and genuine concern. Their team didn’t speak in technical riddles. They explained every step. They used blockchain analysis tools to trace the movement of my funds through several addresses.It turned out the wallet was linked to a scam platform. TRUST GEEKS HACK EXPERT worked directly with the USDT issuer and coordinated with relevant platforms to freeze the funds before they were fully laundered.In just two weeks they managed to recover $155000 in USDT.The money helped yes but it was more than that. I no longer felt powerless. I had been taken advantage of but I wasn’t alone in the fight. Thanks to TRUST GEEKS HACK EXPERT I got back not only a large part of my savings but also peace of mind a sense of dignity and hope for the future. If you ever find yourself in such situation I encourage you to contact TRUST GEEKS HACK EXPERT Email.trustgeekshackexpert{At}fastservice{Dot}com — Telegram:: Trustgeekshackexpert & W h a t's A p p  +1 7 1 9 4 9 2 2 6 9 3

  • 15.08.25 21:04 vallatjosette

    My Wild Ride: How a Wizard Hilton Cyber Tech Helped Me Recover Lost Bitcoin of 103,000 It all started when I had the misfortune of misplacing the digital wallet containing my substantial cryptocurrency holdings - a staggering 103,000 bitcoins. I had amassed this sizable fortune over the years through strategic investments and careful trading, but in a moment of carelessness, the private keys to my digital wallet had vanished. Panic set in as I grappled with the gravity of my situation - those bitcoins, worth millions at the time, were effectively lost to the ether, inaccessible and seemingly unrecoverable. Just when I had resigned myself to the devastating financial blow, a chance encounter with a self-proclaimed "digital wizard" Wizard Hilton Cyber Tech presented a glimmer of hope. This enigmatic individual, who operated in the shadowy corners of the crypto underworld, claimed to possess the arcane knowledge and skills necessary to retrieve my lost digital wealth. Intrigued and desperate, I put my skepticism aside and entrusted this mysterious wizard with the task. What followed was a wild, suspenseful journey into the depths of blockchain technology and cryptography, as the wizard navigated complex algorithms, exploited vulnerabilities, and pieced together the puzzle of my missing private keys. After days of intense effort, Wizard Hilton Cyber Tech emerged triumphant, having successfully recovered the entirety of my 103,000 bitcoin stash. The sheer relief and elation I felt in that moment was indescribable, as I regained access to my small digital fortune and was able to secure my financial future. This harrowing experience taught me the invaluable lesson of never taking the security of my cryptocurrency holdings for granted, and the importance of always maintaining the utmost diligence when it comes to protecting one's digital wealth. Email: wizardhiltoncybertech ( @ ) gmail (. ) com     OR support ( @ ) wizardhiltoncybertech (.) com WhatsApp number  +18737715701 Thanks.

  • 16.08.25 06:53 wendytaylor015

    My name is Wendy Taylor, I'm from Los Angeles, i want to announce to you Viewer how Capital Crypto Recover help me to restore my Lost Bitcoin, I invested with a Crypto broker without proper research to know what I was hoarding my hard-earned money into scammers, i lost access to my crypto wallet or had your funds stolen? Don’t worry Capital Crypto Recover is here to help you recover your cryptocurrency with cutting-edge technical expertise, With years of experience in the crypto world, Capital Crypto Recover employs the best latest tools and ethical hacking techniques to help you recover lost assets, unlock hacked accounts, Whether it’s a forgotten password, Capital Crypto Recover has the expertise to help you get your crypto back. a security company service that has a 100% success rate in the recovery of crypto assets, i lost wallet and hacked accounts. I provided them the information they requested and they began their investigation. To my surprise, Capital Crypto Recover was able to trace and recover my crypto assets successfully within 24hours. Thank you for your service in helping me recover my $647,734 worth of crypto funds and I highly recommend their recovery services, they are reliable and a trusted company to any individuals looking to recover lost money. Contact email [email protected] OR Telegram @Capitalcryptorecover Call/Text Number +1 (336)390-6684 his contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 16.08.25 06:53 wendytaylor015

    My name is Wendy Taylor, I'm from Los Angeles, i want to announce to you Viewer how Capital Crypto Recover help me to restore my Lost Bitcoin, I invested with a Crypto broker without proper research to know what I was hoarding my hard-earned money into scammers, i lost access to my crypto wallet or had your funds stolen? Don’t worry Capital Crypto Recover is here to help you recover your cryptocurrency with cutting-edge technical expertise, With years of experience in the crypto world, Capital Crypto Recover employs the best latest tools and ethical hacking techniques to help you recover lost assets, unlock hacked accounts, Whether it’s a forgotten password, Capital Crypto Recover has the expertise to help you get your crypto back. a security company service that has a 100% success rate in the recovery of crypto assets, i lost wallet and hacked accounts. I provided them the information they requested and they began their investigation. To my surprise, Capital Crypto Recover was able to trace and recover my crypto assets successfully within 24hours. Thank you for your service in helping me recover my $647,734 worth of crypto funds and I highly recommend their recovery services, they are reliable and a trusted company to any individuals looking to recover lost money. Contact email [email protected] OR Telegram @Capitalcryptorecover Call/Text Number +1 (336)390-6684 his contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 16.08.25 06:53 wendytaylor015

    My name is Wendy Taylor, I'm from Los Angeles, i want to announce to you Viewer how Capital Crypto Recover help me to restore my Lost Bitcoin, I invested with a Crypto broker without proper research to know what I was hoarding my hard-earned money into scammers, i lost access to my crypto wallet or had your funds stolen? Don’t worry Capital Crypto Recover is here to help you recover your cryptocurrency with cutting-edge technical expertise, With years of experience in the crypto world, Capital Crypto Recover employs the best latest tools and ethical hacking techniques to help you recover lost assets, unlock hacked accounts, Whether it’s a forgotten password, Capital Crypto Recover has the expertise to help you get your crypto back. a security company service that has a 100% success rate in the recovery of crypto assets, i lost wallet and hacked accounts. I provided them the information they requested and they began their investigation. To my surprise, Capital Crypto Recover was able to trace and recover my crypto assets successfully within 24hours. Thank you for your service in helping me recover my $647,734 worth of crypto funds and I highly recommend their recovery services, they are reliable and a trusted company to any individuals looking to recover lost money. Contact email [email protected] OR Telegram @Capitalcryptorecover Call/Text Number +1 (336)390-6684 his contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 16.08.25 07:01 lisared

    Losing nearly 500,000 USDT to hackers was one of the most devastating experience of my life. I felt powerless as my hard-earned assets vanished into anonymous blockchain transactions until I found Agent Jasmine Lopez. Her deep expertise, tireless effort, and unwavering focus gave me hope and delivered results. She traced complex transactions, pursued every lead, and recovered a large portion of my stolen funds something I never thought possible. If you’ve lost digital assets, don’t give up. Contact Recoveryfundprovider@gmail. com WhatsApp at +{44 736-644-5035}. She turned my nightmare into a recovery story, and she could do the same for you.

  • 16.08.25 17:05 mark

    I see a lot of recommendations online and it’s already obvious there are bad eggs online who will only add to your mystery. I can only recommend one and you can reach them via mail on (zattechrecovery @ gmail c0 m ) if you need help on recovering what you lost to scammers.

  • 17.08.25 03:33 wendytaylor015

    My name is Wendy Taylor, I'm from Los Angeles, i want to announce to you Viewer how Capital Crypto Recover help me to restore my Lost Bitcoin, I invested with a Crypto broker without proper research to know what I was hoarding my hard-earned money into scammers, i lost access to my crypto wallet or had your funds stolen? Don’t worry Capital Crypto Recover is here to help you recover your cryptocurrency with cutting-edge technical expertise, With years of experience in the crypto world, Capital Crypto Recover employs the best latest tools and ethical hacking techniques to help you recover lost assets, unlock hacked accounts, Whether it’s a forgotten password, Capital Crypto Recover has the expertise to help you get your crypto back. a security company service that has a 100% success rate in the recovery of crypto assets, i lost wallet and hacked accounts. I provided them the information they requested and they began their investigation. To my surprise, Capital Crypto Recover was able to trace and recover my crypto assets successfully within 24hours. Thank you for your service in helping me recover my $647,734 worth of crypto funds and I highly recommend their recovery services, they are reliable and a trusted company to any individuals looking to recover lost money. Contact email [email protected] OR Telegram @Capitalcryptorecover Call/Text Number +1 (336)390-6684 his contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 17.08.25 03:33 wendytaylor015

    My name is Wendy Taylor, I'm from Los Angeles, i want to announce to you Viewer how Capital Crypto Recover help me to restore my Lost Bitcoin, I invested with a Crypto broker without proper research to know what I was hoarding my hard-earned money into scammers, i lost access to my crypto wallet or had your funds stolen? Don’t worry Capital Crypto Recover is here to help you recover your cryptocurrency with cutting-edge technical expertise, With years of experience in the crypto world, Capital Crypto Recover employs the best latest tools and ethical hacking techniques to help you recover lost assets, unlock hacked accounts, Whether it’s a forgotten password, Capital Crypto Recover has the expertise to help you get your crypto back. a security company service that has a 100% success rate in the recovery of crypto assets, i lost wallet and hacked accounts. I provided them the information they requested and they began their investigation. To my surprise, Capital Crypto Recover was able to trace and recover my crypto assets successfully within 24hours. Thank you for your service in helping me recover my $647,734 worth of crypto funds and I highly recommend their recovery services, they are reliable and a trusted company to any individuals looking to recover lost money. Contact email [email protected] OR Telegram @Capitalcryptorecover Call/Text Number +1 (336)390-6684 his contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 17.08.25 05:22 aveasley4

    I’m a California resident who was contacted by someone named “Lin” on WhatsApp. Our conversation eventually turned to cryptocurrency investments. Lin introduced me to a trading platform called CBOTBIT (https://cbotbit.com), walked me through setting up an account, and guided me on transferring funds. Under Lin’s direction, I began trading and was led to believe that my account was growing significantly. However, when I attempted to withdraw my funds, I was unable to do so — and shortly after, the website went offline entirely. I had invested over $340,000 in Bitcoin, planning to use it for my retirement. The experience was devastating, and I was at a loss for what to do next. Eventually, I came across [email protected] and decided to reach out. I followed their instructions, and within a few days, I was able to recover my original investment. I'm incredibly relieved and grateful for their assistance, and I recommend contacting them if you’re in a similar situation and need help recovering lost funds.

  • 17.08.25 17:49 marcushenderson624

    Bitcoin Recovery Testimonial After falling victim to a cryptocurrency scam group, I lost $354,000 worth of USDT. I thought all hope was lost from the experience of losing my hard-earned money to scammers. I was devastated and believed there was no way to recover my funds. Fortunately, I started searching for help to recover my stolen funds and I came across a lot of testimonials online about Capital Crypto Recovery, an agent who helps in recovery of lost bitcoin funds, I contacted Capital Crypto Recover Service, and with their expertise, they successfully traced and recovered my stolen assets. Their team was professional, kept me updated throughout the process, and demonstrated a deep understanding of blockchain transactions and recovery protocols. They are trusted and very reliable with a 100% successful rate record Recovery bitcoin, I’m grateful for their help and highly recommend their services to anyone seeking assistance with lost crypto. Contact: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 17.08.25 17:49 marcushenderson624

    Bitcoin Recovery Testimonial After falling victim to a cryptocurrency scam group, I lost $354,000 worth of USDT. I thought all hope was lost from the experience of losing my hard-earned money to scammers. I was devastated and believed there was no way to recover my funds. Fortunately, I started searching for help to recover my stolen funds and I came across a lot of testimonials online about Capital Crypto Recovery, an agent who helps in recovery of lost bitcoin funds, I contacted Capital Crypto Recover Service, and with their expertise, they successfully traced and recovered my stolen assets. Their team was professional, kept me updated throughout the process, and demonstrated a deep understanding of blockchain transactions and recovery protocols. They are trusted and very reliable with a 100% successful rate record Recovery bitcoin, I’m grateful for their help and highly recommend their services to anyone seeking assistance with lost crypto. Contact: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 17.08.25 17:49 marcushenderson624

    Bitcoin Recovery Testimonial After falling victim to a cryptocurrency scam group, I lost $354,000 worth of USDT. I thought all hope was lost from the experience of losing my hard-earned money to scammers. I was devastated and believed there was no way to recover my funds. Fortunately, I started searching for help to recover my stolen funds and I came across a lot of testimonials online about Capital Crypto Recovery, an agent who helps in recovery of lost bitcoin funds, I contacted Capital Crypto Recover Service, and with their expertise, they successfully traced and recovered my stolen assets. Their team was professional, kept me updated throughout the process, and demonstrated a deep understanding of blockchain transactions and recovery protocols. They are trusted and very reliable with a 100% successful rate record Recovery bitcoin, I’m grateful for their help and highly recommend their services to anyone seeking assistance with lost crypto. Contact: [email protected] Phone CALL/Text Number: +1 (336) 390-6684 Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 18.08.25 21:10 Connorhelms

    I can honestly say losing my bitcoin savings was one of the darkest moments of my life. I had put everything I could into that investment, believing it would secure my future, only to wake up one day and realize the platform had vanished with all my funds. The feeling was indescribable, fear, shame, and helplessness all at once. I thought I’d never see that money again. Then I came across Alpha Spy Nest. At first, I was hesitant, I had already been deceived once, and the thought of trusting anyone else terrified me. But something about their professionalism and the way they patiently explained things gave me a little hope. For the first time in weeks, I felt like I wasn’t completely alone in the fight. They listened to my story without judgment, broke down the technical side in a way I could understand, and reassured me that there was still a chance. Watching them work was incredible. They traced every transaction, uncovered where my bitcoin had been moved, and kept me updated through every stage. It felt like they cared as much about my recovery as I did. The day they told me they had successfully recovered my lost savings, I actually cried. Seeing those funds back in my wallet felt unreal, it was like a huge weight had been lifted off my shoulders. Beyond just recovering my bitcoin, Alpha Spy Nest gave me back my peace of mind and restored a trust I thought I had lost forever. I’m forever grateful to them. If I hadn’t found Alpha Spy Nest, I’d still be stuck in regret and despair. Instead, I now share my story as proof that recovery is possible. You can also reach out to them via: Email: [email protected], WhatsApp: +15132924878‬, Telegram: https://t.me/Alphaspynest, Website: www.alphaspynest.org

  • 18.08.25 22:17 wendytaylor015

    My name is Wendy Taylor, I'm from Los Angeles, i want to announce to you Viewer how Capital Crypto Recover help me to restore my Lost Bitcoin, I invested with a Crypto broker without proper research to know what I was hoarding my hard-earned money into scammers, i lost access to my crypto wallet or had your funds stolen? Don’t worry Capital Crypto Recover is here to help you recover your cryptocurrency with cutting-edge technical expertise, With years of experience in the crypto world, Capital Crypto Recover employs the best latest tools and ethical hacking techniques to help you recover lost assets, unlock hacked accounts, Whether it’s a forgotten password, Capital Crypto Recover has the expertise to help you get your crypto back. a security company service that has a 100% success rate in the recovery of crypto assets, i lost wallet and hacked accounts. I provided them the information they requested and they began their investigation. To my surprise, Capital Crypto Recover was able to trace and recover my crypto assets successfully within 24hours. Thank you for your service in helping me recover my $647,734 worth of crypto funds and I highly recommend their recovery services, they are reliable and a trusted company to any individuals looking to recover lost money. Contact email [email protected] OR Telegram @Capitalcryptorecover Call/Text Number +1 (336)390-6684 his contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 18.08.25 22:17 wendytaylor015

    My name is Wendy Taylor, I'm from Los Angeles, i want to announce to you Viewer how Capital Crypto Recover help me to restore my Lost Bitcoin, I invested with a Crypto broker without proper research to know what I was hoarding my hard-earned money into scammers, i lost access to my crypto wallet or had your funds stolen? Don’t worry Capital Crypto Recover is here to help you recover your cryptocurrency with cutting-edge technical expertise, With years of experience in the crypto world, Capital Crypto Recover employs the best latest tools and ethical hacking techniques to help you recover lost assets, unlock hacked accounts, Whether it’s a forgotten password, Capital Crypto Recover has the expertise to help you get your crypto back. a security company service that has a 100% success rate in the recovery of crypto assets, i lost wallet and hacked accounts. I provided them the information they requested and they began their investigation. To my surprise, Capital Crypto Recover was able to trace and recover my crypto assets successfully within 24hours. Thank you for your service in helping me recover my $647,734 worth of crypto funds and I highly recommend their recovery services, they are reliable and a trusted company to any individuals looking to recover lost money. Contact email [email protected] OR Telegram @Capitalcryptorecover Call/Text Number +1 (336)390-6684 his contact: [email protected] His website: https://recovercapital.wixsite.com/capital-crypto-rec-1

  • 02:26 Jacksonbash

    You are not alone if you have had your bitcoins taken from your wallet or if you invested in an initial coin offering (ICO) that was a scam. I experienced the same thing. I first lost $173,000 to a fraudulent investment scam company in less than five months. I was able to get all of my money in five days thanks to a hacker my friend recommended. In order to raise awareness about these cryptocurrency criminals and do my part to minimize the number of victims, I'm speaking out. To report a victim, simply send an email to [email protected].

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