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[Перевод] Итоги LLM в 2025 году: прогресс, проблемы и прогнозы

Один из лучших обозревателей в мире LLM выпустил масштабный разбор всего самого важного, что случилось с языковыми моделями в 2025 году. Я перевел, чтобы как можно больше людей прочитало этот фундаментальный труд. Дальше — слово автору.

На исходе 2025 года предлагаю оглянуться на ключевые достижения в области больших языковых моделей (LLM) и проанализировать оставшиеся ограничения и нерешенные проблемы, а также высказать несколько соображений о дальнейшем развитии событий.

Как и каждый год, 2025-й выдался чрезвычайно насыщенным для LLM и искусственного интеллекта в целом, при этом прогресс не показывает никаких признаков замедления или выхода на плато.

Год рассуждений, RLVR и GRPO

Есть много тем для обсуждения, но начнем по хронологии — с января 2025 года.

Масштабирование продолжало работать, но оно не особо меняло поведение LLM или ощущения от работы с ними на практике. Единственным исключением стала свежевыпущенная модель o1 от OpenAI, которая добавила цепочки рассуждений (reasoning traces). Поэтому, когда DeepSeek выпустила свою статью о R1 в январе 2025 года, продемонстрировав, что поведение, напоминающее рассуждение, можно развить с помощью обучения с подкреплением (reinforcement learning), это стало поворотным моментом. (В контексте LLM под рассуждением понимается способность модели объяснять свой ответ, причем само это объяснение зачастую приводит к повышению точности ответа.)

Рисунок 1: Короткий ответ и более длинный ответ с промежуточными шагами, который обычно генерируют модели рассуждений

Deepseek Moment

DeepSeek R1 привлекла огромное внимание по нескольким причинам.

Во-первых, DeepSeek R1 была выпущена как модель с открытыми весами, которая показывала действительно хорошие результаты и была сопоставима с лучшими проприетарными моделями того времени (ChatGPT, Gemini и другими).

Во-вторых, статья о DeepSeek R1 заставила многих — особенно инвесторов и журналистов — обратить внимание на более раннюю статью о DeepSeek V3 от декабря 2024 года. Это привело к пересмотру выводов: хотя обучение современных моделей по-прежнему остается дорогим, оно может быть на порядок дешевле, чем предполагалось ранее, — порядка 5 млн долларов, а не 50 или 500 млн.

Рисунок 2: Таблица из статьи о DeepSeek V3, оценивающая стоимость обучения модели DeepSeek V3 с 671 миллиардом параметров

В дополнительных материалах к DeepSeek R1 стоимость обучения модели R1 поверх V3 оценивается в $294 000, что опять же намного ниже, чем все предполагали.

Рисунок 3: Таблица из дополнительных материалов к статье DeepSeek R1, оценивающая стоимость обучения модели R1 поверх DeepSeek V3

Конечно, оценка в 5 млн долларов требует оговорок. Например, она учитывает только стоимость вычислительных кредитов для финального запуска модели, но не учитывает зарплаты исследователей и расходы на эксперименты с гиперпараметрами.

В-третьих, и это наиболее интересно, в статье было представлено обучение с подкреплением с проверяемыми наградами (Reinforcement Learning with Verifiable Rewards, RLVR) с алгоритмом GRPO как новый (или, по крайней мере, модифицированный) алгоритмический подход для разработки так называемых моделей рассуждений и улучшения LLM на этапе постобучения (post-training).

Рисунок 4: Общий обзор того, как и когда применяется обучение с подкреплением. В этом обзоре я сознательно опускаю множество деталей

До этого момента методы постобучения, такие как дообучение с учителем (supervised instruction fine-tuning, SFT) и обучение с подкреплением на основе обратной связи от человека (reinforcement learning with human feedback, RLHF), которые по-прежнему остаются важной частью пайплайна обучения, упирались в необходимость дорогостоящих письменных ответов или меток предпочтений. (Конечно, их можно генерировать синтетически с помощью других LLM, но это немного напоминает проблему курицы и яйца.)

Ключевое значение DeepSeek R1 и RLVR заключается в том, что они позволяют проводить постобучение LLM на больших объемах данных, что делает их отличным кандидатом для улучшения и раскрытия возможностей через масштабирование вычислений на этапе постобучения (при наличии доступного вычислительного бюджета).

Буква V в RLVR означает verifiable — «проверяемый», что подразумевает возможность использования детерминированных подходов для определения корректности ответов, и этих меток достаточно для того, чтобы LLM научилась решать сложные задачи. (Типичные категории — математика и код, но эту идею можно расширить и на другие области.)

Рисунок 5: Простой пример проверяемой награды

Не буду углубляться в технические детали — в годовом обзоре нужно охватить и другие темы. О моделях рассуждений и RLVR можно написать целые статьи или даже книги. Например, если вас интересует более подробная информация, ознакомьтесь с моими предыдущими статьями: «Понимание рассуждающих LLM» (Understanding Reasoning LLMs) и «Состояние обучения с подкреплением для рассуждений LLM» (The State of Reinforcement Learning for LLM Reasoning).

При всем вышесказанном главный вывод таков: разработка LLM в этом году практически полностью находилась под доминированием моделей рассуждений, использующих RLVR и GRPO.

По сути, каждый крупный разработчик LLM с открытыми весами или проприетарных моделей выпустил вариант своей модели с функцией рассуждений (часто называемый «думающим») после выхода DeepSeek R1.

Ключевые направления развития LLM

Если бы мне нужно было кратко резюмировать основные направления разработки LLM для каждого года, помимо простого масштабирования архитектуры и вычислений для предобучения, я бы составил такой список:

2022: RLHF + PPO
2023: LoRA SFT
2024: Mid-Training
2025: RLVR + GRPO

Предобучение (pre-training) по-прежнему остается необходимым фундаментом для всего остального. Помимо этого, именно RLHF (через алгоритм PPO, Proximal Policy Optimization) изначально дал нам оригинальную модель ChatGPT в 2022 году.

В 2023 году много внимания уделялось LoRA (Low-Rank Adaptation) и похожим методам эффективного по параметрам дообучения (parameter-efficient fine-tuning) для обучения небольших кастомных LLM.

Рисунок 6: Некоторые из ключевых направлений разработки проприетарных LLM и моделей с открытыми весами на протяжении лет. Обратите внимание, что это накопительная картина, что означает, что RLHF + PPO, например, все еще актуальны и используются. Однако это уже не самая горячо обсуждаемая тема

Затем, в 2024 году, все крупные лаборатории начали делать свои пайплайны (пред)обучения более сложными, сосредоточившись на синтетических данных, оптимизации смесей данных, использовании доменно-специфичных данных и добавлении специальных этапов обучения на длинном контексте. Я обобщил эти различные подходы в своей статье 2024 года (тогда я сгруппировал эти техники под предобучением, поскольку термин «промежуточное обучение» (mid-training) еще не был введен):

Тогда я рассматривал их как техники предобучения, поскольку они используют тот же алгоритм и цель предобучения. Сегодня эти несколько более специализированные этапы предобучения, которые следуют за обычным предобучением на общих данных, часто называют «промежуточным обучением» — как мост между обычным предобучением и дообучением (или постобучением), включающим SFT, RLHF и теперь RLVR.

Итак, вам может быть интересно: что дальше?

Я думаю, в следующем году мы увидим еще больше внимания к RLVR. Сейчас RLVR применяется в основном в математике и программировании.

Следующий логический шаг — использовать в качестве сигнала награды не только корректность финального ответа, но и оценивать объяснения LLM в процессе обучения RLVR. Это делалось раньше, на протяжении многих лет, под исследовательским термином «процессные модели вознаграждения» (process reward models, PRM). Однако пока это не принесло значительных успехов. Например, цитируя статью о DeepSeek R1:

4.2. Неудачные попытки
[...] В заключение, хотя PRM демонстрирует хорошую способность переранжировать топ-N ответов, сгенерированных моделью, или помогать в управляемом поиске (Snell et al., 2024), ее преимущества ограничены по сравнению с дополнительными вычислительными издержками, которые она вносит в процесс крупномасштабного обучения с подкреплением в наших экспериментах.

Однако, глядя на недавнюю статью о DeepSeekMath-V2, которая вышла в прошлом месяце и которую я обсуждал в своей предыдущей статье «От DeepSeek V3 до V3.2: архитектура, разреженное внимание и обновления RL» (From DeepSeek V3 to V3.2: Architecture, Sparse Attention, and RL Updates), я думаю, что в будущем мы увидим больше «оценки объяснений» в качестве обучающего сигнала.

Способ, которым сейчас оцениваются объяснения, включает использование второй LLM. Это подводит к ещё одному направлению развития RLVR, которое я предвижу: расширению на другие области помимо математики и программирования.

Так что, если бы вы спросили меня сегодня, что я вижу на горизонте для 2026 и 2027 годов, я бы сказал следующее:

2026: расширения RLVR и больше масштабирования во время инференса
2027: непрерывное обучение (continual learning)

Помимо упомянутых расширений RLVR, я думаю, что в 2026 году будет больше внимания уделяться масштабированию во время инференса (inference-time scaling). Масштабирование во время инференса означает, что мы тратим больше времени и денег после обучения, когда позволяем LLM генерировать ответ, но это окупается.

Масштабирование инференса — не новая парадигма, и платформы LLM уже используют определенные техники под капотом. Это компромисс между задержкой, стоимостью и точностью ответа. Однако в определенных приложениях, где точность важнее задержки и стоимости, экстремальное масштабирование инференса может полностью себя оправдать. Например, как показала недавняя статья о DeepSeekV2-Math, это подняло модель до производительности золотого уровня на бенчмарке математических соревнований.

Рисунок 7: Комбинация двух методов масштабирования во время инференса: самосогласованность (self-consistency) и самоулучшение (self-refinement). Дополнительные итерации самоулучшения улучшают точность. Рисунок с пояснениями из статьи DeepSeekMath-V2.

В этом году среди коллег также много говорили о непрерывном обучении. Вкратце, непрерывное обучение — это обучение модели на новых данных или знаниях без переобучения с нуля.

Это не новая идея, и мне интересно, почему она так активно обсуждалась в этом году, ведь пока не было никакого нового или существенного прорыва в области непрерывного обучения. Главная проблема — катастрофическое забывание (catastrophic forgetting): как показывают эксперименты с продолженным предобучением, усвоение новых знаний приводит к частичной потере старых.

Тем не менее, тема явно актуальна, и я ожидаю прогресса в минимизации катастрофического забывания. Разработка методов непрерывного обучения станет важным направлением в ближайшие годы.

GRPO — любимчик исследований года

Академические исследования в эпоху дорогих LLM — непростая задача. Конечно, важные открытия, ставшие основой прогресса и прорывов в LLM, могут быть сделаны в академической среде несмотря на более скромные бюджеты (а может, и благодаря им).

В последние годы популярными примерами являются LoRA (LoRA: Low-Rank Adaptation of Large Language Models, 2021) и связанные с ней методы эффективного по параметрам дообучения.

Рисунок 8: Введение в LoRA с примерами кода (туториал)

Еще один пример — DPO (Direct Preference Optimization, прямая оптимизация предпочтений: Your Language Model is Secretly a Reward Model) и связанные методы выравнивания без модели наград (reward-model-free alignment) как альтернатива обучению с подкреплением на основе обратной связи от человека.

Рисунок 9: Введение в DPO с примерами кода (туториал)

В моем окружении главным исследовательским открытием года стал GRPO. Хотя он был представлен в статье DeepSeek R1, а не появился из академической среды, он все же сделал год захватывающим для исследователей: и RLVR, и GRPO концептуально интересны и, в зависимости от масштаба, не запредельно дороги для экспериментов.

Так что в этом году я видел множество математических улучшений GRPO в исследовательской литературе по LLM (как от компаний, так и от академических исследователей), которые позже были приняты в пайплайнах обучения современных LLM. Например, некоторые из улучшений включают следующее:

Olmo 3:

Фильтрация нулевого градиентного сигнала (DAPO от Yu et al., 2025)
Активная выборка (DAPO от Yu et al., 2025)
Потери на уровне токенов (DAPO от Yu et al., 2025)
Без KL loss (DAPO от Yu et al., 2025 и Dr. GRPO от Liu et al., 2025)
Clip higher (DAPO от Yu et al., 2025)
Усеченная importance sampling (Yao et al., 2025)
Без нормализации стандартного отклонения (Dr. GRPO от Liu et al., 2025)

DeepSeek V3.2:

KL tuning с доменно-специфичными силами KL (ноль для математики)
Reweighted KL
Off-policy маскирование последовательности
Сохранение маски выборки для top-p / top-k
Сохранение оригинальной нормализации преимущества GRPO

Могу подтвердить: эти модификации GRPO существенно влияют на результат. Например, с некоторыми или несколькими из этих модификаций неудачные обновления больше не сбивают процесс обучения, и мне больше не нужно периодически перезагружать чекпоинты.

И даже для очень коротких запусков я наблюдал большой прирост при использовании этих трюков:

Рисунок 10: Небольшой фрагмент результатов моего кода обучения GRPO с нуля, который доступен на GitHub

В любом случае, у меня есть базовый скрипт GRPO в репозитории «Build A Reasoning Model (From Scratch)», если вы хотите поэкспериментировать с ним. (Скоро добавлю больше исследований абляции с соответствующими модификациями.)

Архитектуры LLM: на распутье?

Что касается архитектур LLM, современные модели по-прежнему используют классический декодерный трансформер (decoder-only transformer). Однако в этом году модели с открытыми весами более или менее сошлись на использовании слоев смеси экспертов (mixture-of-experts, MoE), а также как минимум одного «оптимизированного по эффективности» механизма внимания: Grouped-Query Attention, внимания со скользящим окном или многоголового латентного внимания.

Помимо этих достаточно стандартных архитектур LLM, мы также видели более радикальные оптимизации механизма внимания для линейного масштабирования с длиной последовательности. Примеры включают Gated DeltaNets в Qwen3-Next и Kimi Linear, а также слои Mamba-2 в Nemotron 3 от NVIDIA.

В любом случае, не буду вдаваться в детали, потому что у меня есть целая статья на 13 тысяч слов, недавно обновленная и посвященная этим архитектурам, если вы хотите узнать больше: «Большое сравнение архитектур LLM».

Рисунок 11: Большое сравнение архитектур LLM

Мой прогноз заключается в том, что мы продолжим строить модели на архитектуре трансформера как минимум еще несколько лет, по крайней мере когда речь идет о современной производительности моделирования.

В то же время я думаю, что мы будем видеть все больше и больше таких настроек эффективности и инженерных трюков, как Gated DeltaNet и слои Mamba, потому что в масштабах, в которых LLM обучаются, развертываются и используются, это просто имеет финансовый смысл для этих компаний, которые все еще тратят много денег на обслуживание LLM.

Это не означает, что нет других альтернатив. Как я писал в статье «За пределами стандартных LLM» (Beyond Standard LLMs), например, текстовые диффузионные модели представляют собой интересный подход. Сейчас они попадают в категорию экспериментальных исследовательских моделей, но Google поделились, что выпустят модель Gemini Diffusion. Она не будет соперничать с их передовыми предложениями по качеству моделирования, но будет действительно быстрой и привлекательной для задач с требованиями низкой задержки (например, автодополнение кода).

Также две недели назад были выпущены модели LLaDA 2.0 с открытыми весами. Самая крупная из них, на 100 миллиардов параметров, является на сегодняшний день самой большой текстовой диффузионной моделью и находится наравне с Qwen3 30B. (Да, она не продвигает общий уровень современности, но это все равно примечательный релиз в области диффузионных моделей.)

Год масштабирования инференса и использования инструментов

Улучшение LLM путем масштабирования обучающих данных и архитектур — это проверенная формула, которая (все еще) продолжает работать. Однако, особенно в этом году, это уже не «единственный» достаточный рецепт.

Мы увидели это на примере GPT 4.5 (февраль 2025), которая, по слухам, была намного больше, чем GPT 4 (и более поздняя GPT 5), но чистое масштабирование само по себе в целом не является наиболее разумным путем вперед. Возможности GPT 4.5, возможно, были лучше, чем у GPT 4, но увеличенный бюджет на обучение был признан «плохой отдачей от вложений».

Вместо этого большую часть прогресса в этом году обеспечили более совершенные пайплайны обучения (с большим акцентом на предобучение и постобучение) и масштабирование инференса.

Например, как обсуждалось ранее при разговоре о DeepSeekMath-V2, которая достигла производительности золотого уровня в математике, масштабирование инференса — это один из рычагов, которые мы можем использовать, чтобы заставить LLM решать чрезвычайно сложные задачи по требованию (GPT Heavy Thinking или Pro — другие примеры; использовать их для всего не имеет смысла из-за высокой задержки и стоимости, но есть определенные случаи, такие как сложные математические или программистские задачи, где интенсивное масштабирование на этапе инференса оправдано).

Другое крупное улучшение пришло от обучения LLM с учетом использования инструментов. Как вы, скорее всего, знаете, галлюцинации — одна из самых больших проблем LLM. Можно утверждать, что частота галлюцинаций продолжает снижаться, и я думаю, это во многом связано с упомянутым использованием инструментов. Например, когда спрашивают, кто выиграл чемпионат мира по футболу FIFA в 1998 году, вместо попытки запомнить ответ, LLM может обратиться к поисковой системе через механизм вызова инструментов и извлечь эту информацию с авторитетного сайта по этой теме (например, в данном случае, с официального сайта FIFA). То же самое касается математических задач с использованием API калькулятора и так далее.

Например, модели gpt-oss от OpenAI были среди более ранних моделей с открытыми весами, выпущенных в этом году, которые были специально разработаны с учетом использования инструментов.

Рисунок 12: Таблица с пояснениями из статьи с описанием модели gpt-oss (model card paper)

К сожалению, экосистема открытого исходного кода еще не полностью догнала это направление, и многие, если не большинство инструментов, по-прежнему по умолчанию запускают эти LLM в режиме без использования инструментов. Одна из причин заключается в том, что это новая, развивающаяся парадигма, под которую необходимо адаптировать инструментарий. Другая причина также в том, что это более сложная проблема для решения из-за безопасности (предоставление LLM неограниченного доступа к использованию инструментов потенциально может представлять угрозу безопасности или причинить другой вред вашей системе. Я думаю, что разумный вопрос, который всегда нужно задавать: доверили бы вы новому стажеру делать это с таким объемом доступа к вашей системе?)

Я думаю, что в ближайшие годы включение и разрешение использования инструментов станет все более распространенным при локальном использовании LLM.

5. Слово года: Benchmaxxing

Если бы мне пришлось выбрать слово или тренд, который описывает разработку LLM в этом году, это было бы «benchmaxxing» (бенчмаркинг ради бенчмаркинга).

Здесь benchmaxxing означает сильный акцент на улучшении показателей в таблицах лидеров, иногда до такой степени, что производительность на бенчмарках становится самоцелью, а не показателем общих возможностей.

Ярким примером стала Llama 4, которая показала чрезвычайно хорошие результаты по многим устоявшимся бенчмаркам. Однако, как только пользователи и разработчики получили к ней доступ, они поняли, что эти оценки не отражают реальные возможности и полезность.

Как гласит популярная поговорка: если тестовый набор публичен — это уже не настоящий тестовый набор. И проблема в наши дни заключается в том, что данные тестового набора не только являются частью обучающего корпуса (намеренно или непреднамеренно), но также часто непосредственно оптимизируются во время разработки LLM.

В прошлом, даже если оценки на бенчмарках по публичным тестовым наборам были завышены, по крайней мере ранжирование моделей все же сохранялось. Например, см. аннотированный рисунок из статьи 2019 года «Do ImageNet Classifiers Generalize to ImageNet?» ниже.

Рисунок 13: Рисунок с пояснениями из статьи 2019 года «Do ImageNet Classifiers Generalize to ImageNet?»

В разработке LLM это достигло точки, где показатели бенчмарков больше не являются надежными индикаторами производительности LLM.

Однако я думаю, что бенчмарки остаются необходимыми порогами, которые LLM должны преодолеть. То есть, если я вижу, что LLM набирает ниже X на бенчмарке Y, я уже знаю, что это не очень хорошая LLM. Однако, если она набирает выше X на бенчмарке Y, это не означает, что она намного лучше другой LLM, которая также набирает выше X на том же бенчмарке.

Другой аспект, который следует учитывать, заключается в том, что классификаторы изображений имеют только одну задачу, а именно классификацию изображений. Однако LLM используются для множества различных задач: перевода текста, резюмирования текста, написания кода, мозгового штурма, решения математических задач и многих других. Оценка классификаторов изображений, где доступна четкая метрика, такая как точность классификации (classification accuracy), намного проще, чем оценка LLM как на детерминированных, так и на свободных задачах.

Помимо практического опробования LLM и постоянного создания новых бенчмарков, к сожалению, нет решения этой проблемы.

6. ИИ для кода, текстов и исследований

Поскольку эта тема поднимается так часто, я хотел поделиться своим мнением о замене LLM людей для определенных типов задач (или даже профессий).

На высоком уровне я рассматриваю LLM как инструменты, которые дают людям в определенных профессиях «суперспособности». Я имею в виду, что при правильном использовании LLM могут сделать людей существенно более продуктивными и убрать много рутины из повседневной работы. Это варьируется от относительно обыденных задач, таких как обеспечение единообразного оформления заголовков разделов с заглавными буквами, до поиска сложных багов в больших кодовых базах.

6.1 Код

Сегодня я по-прежнему пишу большую часть важного для меня кода самостоятельно. Под «важным для меня» я понимаю контексты, где имеет значение, что я понимаю код и что код корректен. Например, если я настраиваю скрипт обучения LLM, я буду реализовывать и тщательно проверять логику обучения. Это нужно а) чтобы убедиться, что он делает то, что, по моему мнению, должен делать, и б) чтобы сохранить свои знания и экспертизу в этой задаче. Однако теперь я использую LLM для добавления более рутинного кода вокруг этого, например, добавления шаблонного кода argparse для командной строки, чтобы я мог использовать свой собственный код более удобно из командной строки.

Рисунок 14: Пример добавления аргументов командной строки в скрипт обучения с использованием промпта «Добавь argparse для всех опций гиперпараметров в training-script.py»

Но я также все больше и больше полагаюсь на LLM для выявления проблем, предложения улучшений или проверки идей на здравый смысл. В то же время я хочу понимать, что я создаю, и в качестве личной цели стремлюсь углублять свои знания и навыки и продолжать развивать свою экспертизу.

При этом LLM оказались чрезвычайно ценными для задач за пределами моей основной области экспертизы. Они позволяют мне автоматизировать вещи, на которые у меня иначе не хватило бы времени или энергии. Один из примеров — недавний инструмент, который я написал для извлечения и резервного копирования моих статей из Substack в формате Markdown. (Я составляю черновики всего в Markdown, но часто редактирую и расширяю статьи непосредственно в редакторе Substack, поэтому мои локальные черновики не всегда актуальны). LLM также помогли мне очистить CSS на моем сайте, который за годы накопил множество дублирований и несоответствий. И есть много подобных случаев, когда я использовал LLM в этом году.

Или, короче говоря, ключевой момент здесь — понимать, когда использовать LLM, а когда нет. И как использовать LLM таким образом, чтобы это помогало вам развивать свою экспертизу способом, который также приносит удовлетворение.

6.2 Кодовые базы и библиотеки кода

LLM стали лучше писать код, но, несмотря на то, что я слышу от некоторых людей, я не думаю, что код является или станет временным или устаревшим. LLM позволяют быстро создавать продукты, на которые раньше уходило много времени.

Однако чисто LLM-генерируемые кодовые базы не заменяют экспертно созданные кодовые базы. Эти экспертные кодовые базы могли быть даже созданы программистами-людьми, которые сами использовали LLM. Но ключевой момент заключается в том, что кто-то с экспертизой в этой области вложил много времени и усилий в их создание, тестирование и доработку. Другому человеку потребуется много работы, чтобы повторить это, так зачем не использовать готовое, если оно существует?

Короче говоря, я думаю, что эксперт full-stack веб-разработчик, который изучил хорошие паттерны проектирования (design patterns) и компромиссы, изучил, увидел и построил множество платформ за свою карьеру, сможет создать лучшую платформу, чем человек без опыта, который просто дает промпты LLM для ее создания.

Хорошая новость: теперь даже непрофессионал может создать платформу, даже если она не самая лучшая. Однако использование и промптинг LLM поможет этому человеку лишь до определенного предела, и качество платформы упрется в потолок. Поэтому, если человек действительно заботится об улучшении платформы, было бы хорошей идеей углубиться в эту тему, узнать, как другие создают платформы, и вернуться с большими знаниями, чтобы более эффективно использовать LLM для направления и улучшения дизайна платформы.

6.3 Написание технических текстов и исследования

Аналогично программированию, я не вижу, чтобы LLM делали написание технических текстов устаревшим. Написание хорошей технической книги требует тысяч часов работы и глубокого знакомства с предметом. Этот процесс может включать использование LLM для улучшения ясности, проверки технической корректности, исследования альтернатив или проведения небольших экспериментов, но основная работа по-прежнему зависит от человеческого суждения и экспертизы.

Рисунок 15: Реальный пример того, как LLM помогла мне найти и исправить ошибку в предыдущей статье

Да, LLM могут улучшить качество технической документации и специализированных материалов. Они могут помочь авторам находить ошибки, расширять ссылки и в целом сокращать время, потраченное на рутинные задачи. Это освобождает больше времени для глубокой работы, которая действительно требует креативности и опыта.

С точки зрения читателя, я также не думаю, что LLM заменяют профессионально написанные материалы. Использование LLM для изучения темы хорошо работает для быстрых вопросов и объяснений для начинающих. Однако этот подход быстро становится беспорядочным, когда вы хотите построить более глубокое понимание.

В этот момент, вместо того чтобы потенциально тратить часы на попытки отфильтровать ответы LLM по теме, которую вы пытаетесь изучить, но еще не являетесь экспертом, часто имеет смысл следовать структурированному пути обучения, разработанному экспертом. (Эксперт мог использовать или не использовать LLM.)

Конечно, по-прежнему имеет смысл использовать LLM для уточняющих вопросов или исследования побочных путей во время прохождения курса или изучения материала. Также отлично использовать их для создания тестов или упражнений для практики знаний.

В целом, я вижу LLM как чистый выигрыш и для авторов, и для читателей.

Но я также полагаю, что здесь ключевой момент заключается в том, чтобы научиться распознавать, когда использовать LLM, а когда нет. Например, главный недостаток в том, что может возникнуть соблазн сразу использовать LLM, когда тема становится сложной, потому что самостоятельная борьба с проблемой сначала часто приводит к намного более сильному обучению.

Я вижу исследования примерно так же. LLM очень полезны для поиска связанной литературы, выявления проблем в математической нотации и предложения последующих экспериментов. Но все равно имеет смысл оставлять исследователя-человека в роли главного.

Возможно, эмпирические правила здесь выглядят примерно так:

Если эта исследовательская статья или материал были полностью созданы человеком, их потенциально можно было бы дополнительно улучшить
И если эта исследовательская статья или материал могли бы быть сгенерированы простым промптингом LLM, то они, вероятно, недостаточно новаторские и/или глубокие

6.4 LLM и выгорание

LLM все еще довольно новы и развиваются, и я думаю, что есть также менее обсуждаемый недостаток чрезмерного использования LLM. Например, я считаю, что если модель делает всю работу, а человек в основном контролирует, работа может начать казаться пустой.

Конечно, некоторые люди действительно наслаждаются управлением системами и организацией рабочих процессов, и это совершенно обоснованное предпочтение. Но для людей, которым нравится делать саму работу, я думаю, что такой режим работы может ускорить выгорание. (Особенно это касается компаний, которые ожидают больше результатов быстрее, поскольку теперь у нас есть LLM.)

Есть особое удовлетворение в борьбе со сложной проблемой и, наконец, в том, чтобы увидеть, как она работает. Я не получаю того же ощущения, когда LLM сразу выдает решение. Я полагаю, это похоже на готовку (это просто пришло мне в голову, и я не великий повар). Если вам нравится делать пиццу, использование готового теста и только добавление начинки, вероятно, лишает большей части радости, и готовка превращается в рутину. Это не обязательно плохо, но я думаю, что если вы делаете эту работу много часов каждый день в течение длительного периода (месяцы или годы), я могу понять, как это будет казаться пустым и в конечном итоге приведет к выгоранию.

С личной точки зрения, писать код приятнее, чем читать. И вы можете согласиться, что создавать pull request обычно веселее, чем рецензировать их (но, конечно, это не верно для всех).

Возможно, хорошая, идеализированная (но не идеальная) аналогия того, как мы должны использовать AI устойчивым образом — это шахматы.

Шахматные движки превзошли людей-игроков десятилетия назад, но профессиональные шахматы среди людей по-прежнему живы и процветают. Я не эксперт по шахматам, но, я бы сказал, игра, вероятно, даже стала богаче и интереснее.

Основываясь на том, что я слышал (например, на основе книги Каспарова «Deep Thinking» и подкастов с Магнусом Карлсеном), современные игроки используют AI для изучения различных идей, оспаривания своих интуиций и анализа ошибок с уровнем глубины, который просто не был возможен раньше.

Я думаю, что это полезная модель для размышлений об AI в других формах интеллектуальной работы. При правильном использовании AI может ускорить обучение и расширить то, что один человек может разумно взять на себя. Я думаю, мы должны относиться к нему скорее как к партнеру, а не как к замене.

Но я также думаю, что если AI используется для полного аутсорсинга мышления и программирования, это рискует подорвать мотивацию и долгосрочное развитие навыков.

Рисунок 16: LLM снижают порог входа и делают программистов (как начинающих, так и экспертов) более продуктивными. Однако, когда мы завершаем 2025 год, я думаю, что все еще стоит инвестировать в то, чтобы стать экспертом, потому что тогда вы сможете извлечь еще больше из LLM и достигать еще лучших результатов

7. Конкурентное преимущество: частные данные

Общие возможности LLM в программировании, ответах на вопросы и написании текстов продолжают улучшаться. Это в значительной степени верно, потому что масштабирование по-прежнему обеспечивает положительную отдачу от инвестиций благодаря улучшениям в пайплайнах и парадигмах обучения (например, RLVR), а также в масштабировании инференса и использовании инструментов.

Однако это начнет выходить на плато в какой-то момент (аналогично тому, что мы видели при разработке от GPT 4 до GPT 4.5), если мы не будем продолжать изобретать новые методы обучения и/или архитектуры (на данный момент никто не знает, как они могут выглядеть).

LLM уже справляются со множеством типовых задач из разряда «низковисящих фруктов». Но чтобы закрепить их в определенных отраслях, потребуется большая доменная специализация. Я думаю, что поставщики LLM хотели бы получить доступ к высококачественным, доменно-специфичным данным. Пока что похоже, что это будет проблемой.

Например, судя по всему, большинство компаний, к которым обращались, отклонили такие сделки именно потому, что данные являются проприетарными и ключевыми для их конкурентного преимущества. (Я слышал это из нескольких источников, и также была статья в The Information на эту тему.)

Это совершенно логично. Продавать ценные проприетарные данные компаниям вроде OpenAI или Anthropic — решение, на мой взгляд, недальновидное.

Рисунок 17: Пример секторов и типов данных, которые могли бы быть полезны для обучения доменно-специфичных LLM, но где внешняя продажа данных вызывала бы опасения. (Я не являюсь юридическим экспертом, и это не юридическая консультация, но я могу представить, что если это чисто локальная LLM, которая не покидает защищенные серверы компании, обучение модели на данных о здоровье пациентов ничем не отличается от разработки других типов внутреннего программного обеспечения, работающего с этими данными о здоровье пациентов.)

Сейчас разработка LLM запредельно дорога и сложна в масштабе, поэтому только несколько крупных компаний разрабатывают современные LLM. Однако я думаю, что разработка LLM становится все более массовой, поскольку разработчики LLM часто меняют работодателей и в конечном итоге будут наняты крупными финансовыми институтами, биотехнологическими компаниями и другими организациями с бюджетами для разработки конкурентоспособных внутренних LLM, которые будут использовать их частные данные.

Эти LLM даже не обязательно должны быть полностью обучены с нуля; многие современные LLM, такие как DeepSeek V3.2, Kimi K2 и GLM 4.7, выпускаются с открытыми весами и могут быть адаптированы и дополнительно дообучены.

8. Создание LLM и рассуждающих моделей с нуля

Вам может быть интересно, чем я занимался в этом году. Мое внимание было почти полностью сосредоточено на работе, связанной с LLM. В прошлом году я решил стать независимым и основать собственную компанию, в основном чтобы иметь больше времени для работы над собственными исследованиями, книгами, статьями в Substack и сотрудничеством с индустрией.

Как независимый исследователь, консалтинговые проекты — это часть того, что делает такую организацию работы устойчивой. Сюда входят обычные расходы — от продуктов до медицинской страховки. Но есть и менее очевидные траты: например, облачные вычисления для экспериментов.

Со временем моя цель — еще больше сократить консалтинговую работу и проводить больше времени над длинными исследованиями и написанием статей, особенно техническими глубокими погружениями, которыми я делюсь здесь.

Мне повезло: многие компании предлагали работу на полную ставку, что было бы жизнеспособным вариантом, если независимость не сработает, но пока я планирую оставаться независимым.

Если вы находите мою работу полезной, и если можете, подписка на Substack или покупка одной из моих книг действительно помогает сделать такого рода работу устойчивой, и я очень ценю поддержку.

Одним из моих личных достижений этого года стала положительная обратная связь по моей книге «Build A Large Language Model (From Scratch)» (Создайте большую языковую модель с нуля). Я получил множество вдумчивых сообщений от читателей из компаний и университетов по всему миру.

Отзывы описывают самые разные сценарии использования: от профессоров колледжей, которые используют книгу как основной учебник для обучения тому, как работают LLM, до бывших студентов, которые использовали ее для подготовки к собеседованиям и получения новых ролей, до инженеров, которые полагались на нее как на отправную точку для реализации кастомных LLM в продакшене.

Я также был рад узнать, что книга теперь переведена как минимум на девять языков.

Рисунок 18: Моя книга «Build A Large Language Model (From Scratch)», переведенная на разные языки.

Многие читатели также спрашивали, будет ли второе издание, охватывающее более новые и продвинутые темы. Хотя я думал об этом, я осторожен в отношении того, чтобы сделать книгу менее доступной. Например, замена стандартного многоголового внимания на более сложные варианты, такие как многоголовое латентное внимание, используемое в некоторых новых моделях DeepSeek, значительно повысит порог входа.

Вместо этого, пока что, я предпочитаю оставить книгу как есть, поскольку она действительно хорошо работает для людей, которые хотят войти в область LLM. А для читателей, заинтересованных в более продвинутом материале, в качестве продолжения я добавил существенные дополнительные материалы в GitHub-репозиторий книги в течение года. Я планирую продолжать расширять эти материалы со временем.

Рисунок 19: Фрагмент некоторых дополнительных материалов, которые я добавил в репозиторий «Build A Large Language Model (From Scratch)» в этом году

Кроме того, как вы, возможно, знаете, я сейчас работаю над продолжением — «Build A Reasoning Model (From Scratch)» (Создайте модель рассуждений с нуля).

Первая книга, «Build A Large Language Model (From Scratch)», фокусируется на основной архитектуре большой языковой модели и основах предобучения.

Рисунок 20: Иллюстрация того, как две книги «с нуля» соотносятся друг с другом

Книга о рассуждающих моделях продолжается с того места, где заканчивается первая книга. Начиная с предобученной базовой модели, она исследует методы масштабирования во время инференса и техники обучения с подкреплением, направленные специально на улучшение способностей к рассуждению.

Помимо этого Substack, я усердно работаю над написанием книги о рассуждениях, и во многих отношениях я думаю, что это моя самая продуманная и отполированная книга на данный момент.

На данный момент, по моим оценкам, я трачу примерно 75-120 часов на каждую главу. Если вам интересно, я оцениваю, что это обычно распределяется следующим образом:

3-5 часов: мозговой штурм и пересмотр выбора темы
5-10 часов: структурирование контента
20 часов: написание первоначального кода
10-20 часов: проведение дополнительных экспериментов и чтение последней литературы для получения дополнительных инсайтов
10-20 часов: создание иллюстраций
10 часов: написание первоначального черновика текста
10-20 часов: переписывание и доработка главы
5-10 часов: создание упражнений плюс проведение экспериментов
2-5 часов: включение предложений редактора и читателей

В настоящее время я на половине пути к завершению главы 6, которая реализует код обучения с подкреплением с проверяемыми наградами (GRPO) для обучения моделей рассуждений.

Рисунок 21: Фрагмент книги «Build A Reasoning Model (From Scratch)», которая доступна в раннем доступе (early access)

9. Сюрпризы 2025 года и прогнозы на 2026 год

Я хотел завершить эту статью несколькими основными выводами, сосредоточившись на вещах, которые, на мой взгляд, были для меня немного неожиданными, и на том, что я прогнозирую на 2026 год.

9.1 Примечательные и неожиданные вещи в 2025 году

Начнем с сюрпризов 2025 года. Это события, которые я, вероятно, не ожидал бы, если бы вы спросили меня годом ранее в 2024 году:

Несколько моделей рассуждений уже достигают производительности золотого уровня на крупных математических соревнованиях (OpenAI с неназванной моделью, Gemini Deep Think и модель с открытыми весами DeepSeekMath-V2). Я не удивлен, что это произошло в принципе, но я удивлен, что это уже произошло в 2025 году, а не в 2026.
Llama 4 (или Llama в целом) почти полностью потеряла популярность в сообществе открытых весов, и Qwen опередила Llama по популярности (по количеству загрузок и производных версий, как сообщается через проект ATOM Натана Ламберта).
Mistral AI использует архитектуру DeepSeek V3 для своей последней флагманской модели Mistral 3, анонсированной в декабре 2025 года.
Помимо Qwen3 и DeepSeek R1/V3.2, появилось множество дополнительных претендентов в гонке за современные модели с открытыми весами, включая Kimi, GLM, MiniMax и Yi.
Более дешевые, эффективные гибридные архитектуры уже становятся большим приоритетом в ведущих лабораториях (Qwen3-Next, Kimi Linear, Nemotron 3), в отличие от разработки отдельными лабораториями.
OpenAI выпустила модель с открытыми весами (gpt-oss, и я написал отдельную статью об этом ранее в этом году).
MCP (присоединившийся к Linux Foundation) уже стал стандартом для доступа к инструментам и данным в LLM-системах в стиле агентов (пока что); я ожидал, что экосистема останется более раздробленной в 2025 году, по крайней мере до 2026 года.

Прогнозы на 2026 год

Мы, вероятно, увидим промышленную, ориентированную на потребителей диффузионную модель для дешевого, надежного инференса с низкой задержкой, причем Gemini Diffusion, вероятно, пойдет первой.
Сообщество открытых весов будет медленно, но уверенно принимать LLM с локальным использованием инструментов и все более агентными возможностями.
RLVR более широко распространится на другие области помимо математики и программирования (например, химию, биологию и другие).
Классический RAG постепенно уступит место другим решениям для запросов к документам. Вместо использования поиска для каждого запроса, связанного с документами, разработчики будут больше полагаться на лучшую обработку длинного контекста, особенно учитывая появление лучших «небольших» моделей с открытыми весами.
Значительная часть прогресса в бенчмарках и производительности LLM будет происходить от улучшенного инструментария и масштабирования инференса, а не от обучения или самой базовой модели. LLM будут казаться намного лучше, но в основном за счёт улучшения окружающей инфраструктуры. В то же время разработчики будут больше фокусироваться на снижении задержки и заставят модели рассуждений расширять меньше токенов рассуждения там, где это не нужно. Не поймите меня неправильно, 2026 год продвинет современность дальше, но большая доля прогресса будет происходить больше со стороны инференса, чем чисто со стороны обучения в этом году.

Итоги

Подводя итог, я думаю, что если есть один мета-урок из 2025 года, то это то, что прогресс в LLM — это не один прорыв, а улучшения делаются на нескольких фронтах через несколько независимых рычагов. Это включает настройки архитектуры, улучшения качества данных, обучение рассуждениям, масштабирование инференса, вызов инструментов и многое другое.

В то же время оценка остается сложной, бенчмарки несовершенны, и хорошее суждение о том, когда и как использовать эти системы, все еще необходимо.

Моя надежда на 2026 год заключается в том, что мы продолжим видеть интересные улучшения, но также чтобы мы понимали, откуда эти улучшения происходят. Это требует как лучшего и более последовательного бенчмаркинга, так и, конечно, прозрачности.

Спасибо за чтение и за все вдумчивые отзывы и обсуждения в течение года, в комментариях и на всех различных платформах, от Substack Notes до GitHub.

Положительные отзывы и детальные беседы действительно поддерживают мою мотивацию вкладывать время и энергию, необходимые для длинных статей, и продолжать глубоко копаться в исследованиях и деталях реализации LLM. Я многому научился из этих обменов, и надеюсь, что вы тоже.

Я с большим нетерпением жду продолжения этих бесед, поскольку область продолжает развиваться в 2026 году!

С наилучшими пожеланиями, Себастьян

Бонус: кураторский список исследовательских статей по LLM (июль — декабрь 2025)

В июне я поделился бонусной статьей с моими кураторскими и добавленными в закладки списками исследовательских статей для платных подписчиков, которые делают этот Substack возможным.

Аналогичным образом, в качестве благодарности всем добрым сторонникам, ниже я подготовил список всех интересных исследовательских статей, которые я добавил в закладки и категоризировал с июля по декабрь 2025 года. Я просмотрел аннотации этих статей, но прочитал полностью лишь очень небольшую часть. Однако мне все равно нравится собирать такие списки, поскольку я часто возвращаюсь к ним при работе над конкретным проектом.

Однако, учитывая уже огромную длину этой статьи, я делюсь этим списком в отдельной статье.

Спасибо! Это был перевод (не такой простой, как может показаться), а вот мои самонаписанные крафтовые статейки (и мой тг-канальчик про LLM и агентов: Agentic World):

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3 янв. 2026 г.

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07.07.26 18:01 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
09.07.26 19:06 Toivo Walli

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13.07.26 23:49 [email protected]

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16.07.26 21:38 patricialovick86

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16.07.26 21:38 patricialovick86

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17.07.26 19:24 laimqq90

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17.07.26 20:12 martinsjude080

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18.07.26 17:12 Malthe Larsen

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18.07.26 23:51 bernalzenaida

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19.07.26 04:10 Fraddy Pual

I can't thank Fundsretriever enough for everything they did for me. My name is Vanessa Conway, and I'm here to tell you my story of how I recovered money I never thought I'd see again. A few months ago, I put a significant amount of money into what looked like a genuine online investment company. At first, it felt real—they showed me fake profits and convinced me to invest even more. But when I tried to cash out, they went quiet and started asking for extra fees. That's when it hit me—I had been scammed. I was heartbroken, frustrated, and didn't know where to turn. That money was my savings—months of hard work gone. Then I found Fundsretriever online. I reached out, hoping for a miracle. Right away, their team made me feel heard. They were responsive, knowledgeable, and walked me through everything. They didn't just take my case—they took it seriously and kept me in the loop every step of the way. I finally felt like I had real experts fighting for me. And guess what? They actually got my money back. It wasn't instant, and it took teamwork, but it happened. When I saw those funds returned, I cried with joy. I'm sharing this so that anyone else out there who's been scammed knows—don't lose hope. Do your research before investing, and stay far away from platforms that promise too much too fast. And if you've already been stung, don't wait—get professional help immediately. Thank you, Fundsretriever, from the bottom of my heart. You didn't just recover my money—you restored my faith. — Vanessa Conway 📧 [email protected] 📱 WhatsApp: +16035121448 💬 Telegram: @Fundsretriever
19.07.26 19:53 kimberlyhebertt6877

I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text Number: +1 (336) 390-6684
19.07.26 19:53 kimberlyhebertt6877

I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text Number: +1 (336) 390-6684
19.07.26 19:54 kimberlyhebertt6877

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30.07.26 00:04 Ahmed

A really cool analysis, thank you. I was especially struck by how strictly the order is defined: data processing and formatting come first, with color only at the very end. This really saves you from the typical mistake of "first a pretty palette, then we figure out what the chart is for." And the palette validator with OKLCH + colorblindness check is absolutely fantastic; you almost never see that in regular tools. By the way, while reading about rank-trajectory and the logarithmic scale, I immediately remembered how convenient it is to analyze dynamics on charts in ExpertOption—I've been trading there for quite some time now. When the data is well visualized, decisions are noticeably easier and more relaxed. I also liked the point about "no more than eight colors" and the dual-axis ban. Strict restrictions sometimes actually produce better results than complete freedom. I'll try this approach myself.
30.07.26 17:27 wendytaylor015

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30.07.26 17:27 wendytaylor015

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31.07.26 16:21 rssllhrnsb

I learned an important lesson after investing in what appeared to be a genuine opportunity. Unfortunately, I was unable to access my funds, which reinforced the importance of carrying out thorough due diligence, checking whether an investment is appropriately regulated, and seeking qualified professional advice rather than relying solely on online reviews or testimonials. During the process of addressing my case, I worked with Mrs. Doris Ashley, who communicated clearly, provided regular updates, and handled the matter in a professional manner. According to my experience, I have recovered $50,000 so far, while efforts to resolve the remaining balance are still in progress. If you wish to contact her, the details I used are: Mrs. Tatiana Sorina TEXT : (tatianasorina06 at G.Ma IL ..c 0 m ) Before committing money to any investment, take time to verify the legitimacy of the platform, confirm any relevant regulatory authorisations, and avoid investing more than you can comfortably afford to lose.
01.08.26 15:05 keithwilson9899

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01.08.26 15:05 keithwilson9899

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03.08.26 20:05 Philip

I was a victim of a crypto theft involving a Pink Drainer, which resulted in the theft of my Wrapped Bitcoin (WBTC) from my Polygon network. The experience was incredibly frustrating and distressing, as I had no idea how to recover my funds. Unfortunately, by the time I noticed the theft, the funds had already been drained to an address that I had no control over, making it seem like an irreversible situation.The attack happened when I clicked on what appeared to be a legitimate link. I didn’t realize at the time that it was a phishing attempt designed to siphon off my private keys and access my wallet. The Pink Drainer, a type of malicious script used by attackers, is specifically designed to exploit such vulnerabilities in crypto wallets. The moment I realized that my WBTC had been drained from my Polygon network. I felt completely helpless, as I didn’t have direct access to the thief's address, and there was no way to reverse the transaction on my own at that point, I started searching for ways to recover my funds, but most resources only offered generic advice that wasn’t practical in this particular case. I quickly realized that if I wanted to have any hope of getting my assets back, I would need professional assistance. After some research, I came across a reliable and trusted recovery team called Aspen Recovery Experts. Their expertise in cryptocurrency recovery, especially in cases like mine, seemed promising.I decided to reach out to Aspen Recovery Experts, and I’m incredibly grateful that I did. Their team of crypto recovery experts was able to help me trace the stolen funds and identify the path the funds took after they left my wallet. Using advanced tools and techniques, they were able to track the transactions on the blockchain, helping me understand where my WBTC had been sent. More importantly, they worked tirelessly to assist me in contacting the necessary parties and even interfaced with blockchain analysts to help facilitate the recovery process.Thanks to their efforts, I was able to successfully recover my stolen funds. The entire process took some time, but the Aspen Recovery Experts dedicated team provided regular updates and kept me informed throughout the process, which gave me a sense of hope and relief during an otherwise stressful time. If you’re ever in a similar situation, I highly recommend reaching out to a trusted recovery team like Aspen Recovery Expertshhh . Their professionalism, knowledge, and expertise were critical in helping me recover my funds and regain control of my crypto assets. Whatsapp : +1 747 231 9036 Telegram : @ prohackerspy Email : [email protected]
03.08.26 20:06 Philip

I was a victim of a crypto theft involving a Pink Drainer, which resulted in the theft of my Wrapped Bitcoin (WBTC) from my Polygon network. The experience was incredibly frustrating and distressing, as I had no idea how to recover my funds. Unfortunately, by the time I noticed the theft, the funds had already been drained to an address that I had no control over, making it seem like an irreversible situation.The attack happened when I clicked on what appeared to be a legitimate link. I didn’t realize at the time that it was a phishing attempt designed to siphon off my private keys and access my wallet. The Pink Drainer, a type of malicious script used by attackers, is specifically designed to exploit such vulnerabilities in crypto wallets. The moment I realized that my WBTC had been drained from my Polygon network. I felt completely helpless, as I didn’t have direct access to the thief's address, and there was no way to reverse the transaction on my own at that point, I started searching for ways to recover my funds, but most resources only offered generic advice that wasn’t practical in this particular case. I quickly realized that if I wanted to have any hope of getting my assets back, I would need professional assistance. After some research, I came across a reliable and trusted recovery team called Aspen Recovery Experts. Their expertise in cryptocurrency recovery, especially in cases like mine, seemed promising.I decided to reach out to Aspen Recovery Experts, and I’m incredibly grateful that I did. Their team of crypto recovery experts was able to help me trace the stolen funds and identify the path the funds took after they left my wallet. Using advanced tools and techniques, they were able to track the transactions on the blockchain, helping me understand where my WBTC had been sent. More importantly, they worked tirelessly to assist me in contacting the necessary parties and even interfaced with blockchain analysts to help facilitate the recovery process.Thanks to their efforts, I was able to successfully recover my stolen funds. The entire process took some time, but the Aspen Recovery Experts dedicated team provided regular updates and kept me informed throughout the process, which gave me a sense of hope and relief during an otherwise stressful time. If you’re ever in a similar situation, I highly recommend reaching out to a trusted recovery team like Aspen Recovery Expertshhh . Their professionalism, knowledge, and expertise were critical in helping me recover my funds and regain control of my crypto assets. Whatsapp : +1 747 231 9036 Telegram : @ prohackerspy Email : [email protected]
04.08.26 11:05 Kisnoles

Excellent analysis, thank you. I was particularly struck by how rigidly the skill sets the order: data processing and form come first, with color coming last. This really cures the habit of "first a pretty palette, then we'll figure it out." A palette validator using OKLCH + color blindness + WCAG is something most chart generators lack. And regarding the boundaries of competence, it's very clear. Where there's a self-checking loop (color), you delegate freely. Where there's a heuristic (form, data interpretation), you remain the final filter. This is a universal principle, not just for /dataviz. By the way, when you look at trading dashboards (including those of decent platforms like ExpertOption), it's immediately clear who thought about readability and who just threw in rainbow lines. Tools like this skill could greatly improve the quality of analytics. Thanks again for the detailed analysis – saved.
04.08.26 12:37 kimberlyhebertt6877

I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text Number: +1 (336) 390-6684
04.08.26 12:37 kimberlyhebertt6877

I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] Call/Text Number: +1 (336) 390-6684
06.08.26 08:11 ROMMYHENDERSON344

All you need is to hire an expert to help you accomplish that. If there's any need to spy on your partner's phone. From my experience I lacked evidence to confront my husband on my suspicion on his infidelity, until I came across REALCYBERHACKERS which many commend him of assisting them in their spying mission. So I contacted him and he provided me with access into his phone to view all text messages, call logs, WhatsApp messages and even her location. This evidence helped me move him off my life . I recommend you consult REALCYBERHACKERS AT gmail com or whatsapp +14106350697 if you need access to your partner's phone or any kind of hacking, they carry out all kinds of hacking job
06.08.26 13:56 lydiassmith567

HIRE A HACKER YOUR STOLEN CRYPTO RECOVERY / BTC / USDT / ETH WITH THE HELP OF CAPITAL CRYPTO RECOVER. I want to share my experience publicly regarding cryptocurrency wallet recovery, I highly recommend you to contact CAPITAL CRYPTO RECOVER, a professional private investigator in the Bitcoin world. They have a certified expert security team specializing in Bitcoin Recovery Services and have helped many people worldwide recover their lost funds. My wife and I were defrauded by an online manipulator posing as an experienced crypto investment professional. We lost $9.2 Million Stolen BTC in cryptocurrency and were left feeling homeless. After spending hours searching for a reliable crypto recovery service, I discovered CAPITAL CRYPTO RECOVER online. By patiently explaining my situation to their team, I was able to recover all my funds. Remarkably, my money was returned to my wallet in less than 24 hours. I am extremely grateful to CAPITAL CRYPTO RECOVER for their excellent assistance—they truly were a godsend in my difficult situation. If you have fallen victim to a cryptocurrency scam, you can reach CAPITAL CRYPTO RECOVER through the following channels Email: [email protected] OR Call/Text: +1 (336) 390-6684 Contact: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
06.08.26 13:56 lydiassmith567

HIRE A HACKER YOUR STOLEN CRYPTO RECOVERY / BTC / USDT / ETH WITH THE HELP OF CAPITAL CRYPTO RECOVER. I want to share my experience publicly regarding cryptocurrency wallet recovery, I highly recommend you to contact CAPITAL CRYPTO RECOVER, a professional private investigator in the Bitcoin world. They have a certified expert security team specializing in Bitcoin Recovery Services and have helped many people worldwide recover their lost funds. My wife and I were defrauded by an online manipulator posing as an experienced crypto investment professional. We lost $9.2 Million Stolen BTC in cryptocurrency and were left feeling homeless. After spending hours searching for a reliable crypto recovery service, I discovered CAPITAL CRYPTO RECOVER online. By patiently explaining my situation to their team, I was able to recover all my funds. Remarkably, my money was returned to my wallet in less than 24 hours. I am extremely grateful to CAPITAL CRYPTO RECOVER for their excellent assistance—they truly were a godsend in my difficult situation. If you have fallen victim to a cryptocurrency scam, you can reach CAPITAL CRYPTO RECOVER through the following channels Email: [email protected] OR Call/Text: +1 (336) 390-6684 Contact: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
11.08.26 03:43 raymont0714

I recommend a trusted cybersecurity PRO with experience in authorized device access, security testing, and data recovery. SHE work only with the owner's consent and follow all legal and privacy rules on meta data. With permission, this specialist can recover lost files, check device security offline & online, and review texts, call records, or hidden data (spy or lurk around a cheating partner or colleuge). Strict confidentiality agreements protect the information, and client details remain private. The work is careful, efficient, and suited to complex cases. For help securing or recovering information from a phone or another electronic device, use the details below 2 consult [email protected] +44 7476618364 I trust her secrecy a living witness. Her discretion is unmatched, ensuring your privacy is always maintained
12.08.26 16:37 rssllhrnsb

I learned an important lesson after investing in what appeared to be a genuine opportunity. Unfortunately, I was unable to access my funds, which reinforced the importance of carrying out thorough due diligence, checking whether an investment is appropriately regulated, and seeking qualified professional advice rather than relying solely on online reviews or testimonials. During the process of addressing my case, I worked with Mrs. Tatiana Sorina , who communicated clearly, provided regular updates, and handled the matter in a professional manner. According to my experience, I have recovered $50,000 so far, while efforts to resolve the remaining balance are still in progress. If you wish to contact her, the details I used are: Mrs. Tatiana Sorina TEXT : (tatianasorina06 at G_Ma IL dot ..c 0 m)…. Before committing money to any investment, take time to verify the legitimacy of the platform, confirm any relevant regulatory authorisations, and avoid investing more than you can comfortably afford to lose.
16.08.26 01:44 Matt Kegan

CapitalNode Analytics. They help to investigate and recover stolen digital assets from fake trading platforms. Great firm i must say.
18.08.26 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 WhatsApp/Text Number: +1 (336) 390-6684 Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
18.08.26 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 WhatsApp/Text Number: +1 (336) 390-6684 Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
19.08.26 14:50 BAYER7043

My account was locked, and I couldn’t access my own information until [email protected] +447476618364 whats?up? helped me recover it. This lady hacker was kind and professional, but this experience showed me how risky account lockouts can be. If you’re facing the same problem, do not panic consult her A. S. A. P. Be careful with recovery agents outchea, and research their name, business, and reviews before sharing any details. Never send passwords, security codes, banking information, or copies of your ID unless you’ve confirmed who you’re dealing with. Be wary of promises that sound too good to be true, especially claims that require little information or guarantee instant access with outrageous fees.
20.08.26 11:32 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 WhatsApp Number +1 (336)390-6684 via email: [email protected] you can visit his website: https://recovercapital.wixsite.com/capital-crypto-rec-1
20.08.26 11:32 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 WhatsApp Number +1 (336)390-6684 via email: [email protected] you can visit his website: https://recovercapital.wixsite.com/capital-crypto-rec-1
23.08.26 20:02 leslieyee

Excellent analysis by /dataviz! I was particularly struck by how strictly the order is defined: "data meaning first, color last" and how the validator actually adjusts the palette according to OKLCH, color blindness, and WCAG standards. These rules greatly improve the quality of charts. By the way, a similar approach to clean and legible charts is highly valued in trading—for example, on the ExpertOption platform, the interface and price visualization are designed to ensure information is read instantly and without unnecessary noise.
25.08.26 13:44 lydiassmith567

HIRE A HACKER YOUR STOLEN CRYPTO RECOVERY / BTC / USDT / ETH WITH THE HELP OF CAPITAL CRYPTO RECOVER. I want to share my experience publicly regarding cryptocurrency wallet recovery, I highly recommend you to contact CAPITAL CRYPTO RECOVER, a professional private investigator in the Bitcoin world. They have a certified expert security team specializing in Bitcoin Recovery Services and have helped many people worldwide recover their lost funds. My wife and I were defrauded by an online manipulator posing as an experienced crypto investment professional. We lost $9.2 Million Stolen BTC in cryptocurrency and were left feeling homeless. After spending hours searching for a reliable crypto recovery service, I discovered CAPITAL CRYPTO RECOVER online. By patiently explaining my situation to their team, I was able to recover all my funds. Remarkably, my money was returned to my wallet in less than 24 hours. I am extremely grateful to CAPITAL CRYPTO RECOVER for their excellent assistance—they truly were a godsend in my difficult situation. If you have fallen victim to a cryptocurrency scam, you can reach CAPITAL CRYPTO RECOVER through the following channels Email: [email protected] OR Call/WhatsApp: +1 (336) 390-6684 Contact: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
25.08.26 13:44 lydiassmith567

HIRE A HACKER YOUR STOLEN CRYPTO RECOVERY / BTC / USDT / ETH WITH THE HELP OF CAPITAL CRYPTO RECOVER. I want to share my experience publicly regarding cryptocurrency wallet recovery, I highly recommend you to contact CAPITAL CRYPTO RECOVER, a professional private investigator in the Bitcoin world. They have a certified expert security team specializing in Bitcoin Recovery Services and have helped many people worldwide recover their lost funds. My wife and I were defrauded by an online manipulator posing as an experienced crypto investment professional. We lost $9.2 Million Stolen BTC in cryptocurrency and were left feeling homeless. After spending hours searching for a reliable crypto recovery service, I discovered CAPITAL CRYPTO RECOVER online. By patiently explaining my situation to their team, I was able to recover all my funds. Remarkably, my money was returned to my wallet in less than 24 hours. I am extremely grateful to CAPITAL CRYPTO RECOVER for their excellent assistance—they truly were a godsend in my difficult situation. If you have fallen victim to a cryptocurrency scam, you can reach CAPITAL CRYPTO RECOVER through the following channels Email: [email protected] OR Call/WhatsApp: +1 (336) 390-6684 Contact: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
30.08.26 15:37 [email protected]

Discovering I had been defrauded, I searched online for services claiming to recover stolen ETH. I contacted several companies, but none succeeded. Although some claimed they could trace assets or recover funds, I could not verify their success or recover my money. I later found SYLVESTER BRYANT Recovery through Google. After contacting him, he recovered 450,000,00. He can be reached at [email protected] or WhatsApp at +1 512 577 7957.
30.08.26 15:37 [email protected]

Discovering I had been defrauded, I searched online for services claiming to recover stolen ETH. I contacted several companies, but none succeeded. Although some claimed they could trace assets or recover funds, I could not verify their success or recover my money. I later found SYLVESTER BRYANT Recovery through Google. After contacting him, he recovered 450,000,00. He can be reached at [email protected] or WhatsApp at +1 512 577 7957.
01.09.26 11:16 lisawerth897

My Experience With Cryptocurrency — CAPITAL CRYPTO RECOVER I lost over $82,000 in Bitcoin after falling victim to a fraudulent online investment scheme. After realizing I had been scammed, I spent considerable time researching possible ways to recover my funds. During my research, I came across CAPITAL CRYPTO RECOVER and decided to contact them after reading their reported success record and encouraging client positive reviews and testimonials. Their team guided me through the recovery process, and I was grateful to successfully recover my lost cryptocurrency. The experience was challenging, but I appreciated the assistance and support I received throughout the process. I’m sharing my experience in the hope that it may encourage other victims to carefully research their options and verify any recovery service before proceeding. I will forever be thankful to you CAPITAL CRYPTO RECOVER 📧 [email protected] 🌐 Website: recovercapital.wixsite.com/capital-crypto-rec-1 📧 [email protected] 📞 Call/WhatsApp: +1 (336) 390-6684
01.09.26 11:16 lisawerth897

My Experience With Cryptocurrency — CAPITAL CRYPTO RECOVER I lost over $82,000 in Bitcoin after falling victim to a fraudulent online investment scheme. After realizing I had been scammed, I spent considerable time researching possible ways to recover my funds. During my research, I came across CAPITAL CRYPTO RECOVER and decided to contact them after reading their reported success record and encouraging client positive reviews and testimonials. Their team guided me through the recovery process, and I was grateful to successfully recover my lost cryptocurrency. The experience was challenging, but I appreciated the assistance and support I received throughout the process. I’m sharing my experience in the hope that it may encourage other victims to carefully research their options and verify any recovery service before proceeding. I will forever be thankful to you CAPITAL CRYPTO RECOVER 📧 [email protected] 🌐 Website: recovercapital.wixsite.com/capital-crypto-rec-1 📧 [email protected] 📞 Call/WhatsApp: +1 (336) 390-6684
01.09.26 17:34 Garry42

Really crazy world. These fraudsters go at any length to steal your hard earned funds. I have been a victim of a bitcoin scam about 7 months back. A Con artist gained access to my cashapp account through a phishing scam. They stole $409,000. I was really devastated. I did everything to get back my funds by contacting the FBI but they claimed there was nothing they could do. A friend told me about a recovery expert. He helps fight against various phishing and investment scams and they were able to help trace and recover my funds even though it took over 2 days. you can reach out to him through recoverydarek@gmail. com . I can guarantee his services are still active.
01.09.26 17:34 Garry42

Really crazy world. These fraudsters go at any length to steal your hard earned funds. I have been a victim of a bitcoin scam about 7 months back. A Con artist gained access to my cashapp account through a phishing scam. They stole $409,000. I was really devastated. I did everything to get back my funds by contacting the FBI but they claimed there was nothing they could do. A friend told me about a recovery expert. He helps fight against various phishing and investment scams and they were able to help trace and recover my funds even though it took over 2 days. you can reach out to him through recoverydarek@gmail. com . I can guarantee his services are still active.
02.09.26 03:43 kimberlyhebertt6877

I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] WhatsApp/Text Number: +1 (336) 390-6684
02.09.26 03:43 kimberlyhebertt6877

I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] WhatsApp/Text Number: +1 (336) 390-6684
04.09.26 21:51 Kovengray

Recovering your lost investment funds as the case might be, is not what you can do alone, you’d require the service of a trained recovery specialist. A recovery specialist is a person or a group of people who are well equipped to work around the brokerage network. They have vast knowledge about the whole network and have the right software and private keys to follow any transaction. I was ripped off trading online to an investment broker, good thing I got every penny back through the help of Gavin ray he’s a genius Contact : Gavinray78 at gmail com or WhatsApp +1 352 322 2096 It is also important to be patient and really calm during the process.
05.09.26 21:38 [email protected]

I invested 45,000 Euro, and later aggreviated to 198,000 Euro. I requested to place ‎Withdrawal of my funds to be paid to my Bank account. But nothing happened I was subjected to pay more fee until I can get my funds on my account, i got in touch with Theodore ryan here on this platform who had helped a lot of people, I followed all instructions and he legally got back my withheld funds, I got threatened by the company that if I don’t pay they will get my account frozen, all thanks to Theodore ryan and I highly recommend him to anyone dealing with an unregulated broker company… contact him on his Gmail - theodoreryan318@ gmail . com
09.09.26 21:31 lisawerth897

My Experience With Cryptocurrency — CAPITAL CRYPTO RECOVER I lost over $82,000 in Bitcoin after falling victim to a fraudulent online investment scheme. After realizing I had been scammed, I spent considerable time researching possible ways to recover my funds. During my research, I came across CAPITAL CRYPTO RECOVER and decided to contact them after reading their reported success record and encouraging client positive reviews and testimonials. Their team guided me through the recovery process, and I was grateful to successfully recover my lost cryptocurrency. The experience was challenging, but I appreciated the assistance and support I received throughout the process. I’m sharing my experience in the hope that it may encourage other victims to carefully research their options and verify any recovery service before proceeding. I will forever be thankful to you CAPITAL CRYPTO RECOVER 📧 [email protected] 🌐 Website: recovercapital.wixsite.com/capital-crypto-rec-1 📧 [email protected] 📞 Call/WhatsApp: +1 (336) 390-6684
09.09.26 21:31 lisawerth897

My Experience With Cryptocurrency — CAPITAL CRYPTO RECOVER I lost over $82,000 in Bitcoin after falling victim to a fraudulent online investment scheme. After realizing I had been scammed, I spent considerable time researching possible ways to recover my funds. During my research, I came across CAPITAL CRYPTO RECOVER and decided to contact them after reading their reported success record and encouraging client positive reviews and testimonials. Their team guided me through the recovery process, and I was grateful to successfully recover my lost cryptocurrency. The experience was challenging, but I appreciated the assistance and support I received throughout the process. I’m sharing my experience in the hope that it may encourage other victims to carefully research their options and verify any recovery service before proceeding. I will forever be thankful to you CAPITAL CRYPTO RECOVER 📧 [email protected] 🌐 Website: recovercapital.wixsite.com/capital-crypto-rec-1 📧 [email protected] 📞 Call/WhatsApp: +1 (336) 390-6684
09.09.26 23:22 Fraddy Pual

Hearing that these individuals are focusing on other people makes me very sad. I had a similar situation with them and lost a lot of money, but after learning about (Cruxcipherteam @ proton DoT me), whataqq:+168160-15021, telegram: @Cruxcipherteam I was able to get my money back. It's critical that we all be watchful and keep reporting these occurrences.
11.09.26 03:23 kimberlyhebertt6877

I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] WhatsApp/Text Number: +1 (336) 390-6684
11.09.26 03:23 kimberlyhebertt6877

I invested in bitcoin trading After losing $78.4 USDT) linked to a romance fraud scam worth of cryptocurrency through an online investment platform and later discovered it was a scam. After extensive research for recovery options, I contacted CAPITAL CRYPTO RECOVER based on positive client reviews and recommendations. Their professional security team guided me through the recovery process using advanced technology, and I was able to recover my lost cryptocurrency successfully. I am truly grateful for their support and assistance during such a difficult experience. I will advise you to contact CAPITAL CRYPTO RECOVER helped me recover my funds. For anyone facing similar issues, Website: https://recovercapital.wixsite.com/capital-crypto-rec-1 Email: [email protected] Telegram: @Capitalcryptorecover Contact: [email protected] WhatsApp/Text Number: +1 (336) 390-6684
15.09.26 03:35 elioduncan

I fell victim to a freelance web development contract scam that ultimately cost me CAD 4,000. It all started when I came across a job posting on Indeed Canada, a popular online job portal. The position seemed perfect: a freelance web developer role for an established company looking for someone to design and build a fully functional e-commerce website. The job promised a high payment of CAD 20,000 upon successful completion, which sounded like a great opportunity for me to gain experience and earn decent pay.The employer, who introduced himself as a project manager from a "well-known" tech company, was very persuasive and professional in our initial communication. He explained that the project involved developing a user-friendly, responsive online store for their client and that they had a strict timeline to meet. He assured me that the payment would be made promptly after completing the tasks. However, before starting the work, he told me that I would need to pay an upfront fee of CAD 4,000 to cover certain software tools and licensing fees required for the project. This was supposedly a part of their company policy for freelance contractors, ensuring access to their premium resources. The idea of working on a professional project, coupled with the promise of a substantial payout, convinced me to pay the upfront fee.As soon as I made the payment, the project manager became increasingly difficult to reach. He initially responded to my emails and provided some vague instructions on what the project would entail, but as time went on, communication slowed to a complete halt. I never received the required tools or any proper project details. My emails went unanswered, and any attempts to contact the company were met with silence. After waiting for weeks, I realized that I had been scammed.Desperate to recover my money, I turned to TechY Force Cyber Retrieval, a service that specializes in helping victims of online scams. They helped me track the payment and took legal steps to pursue the fraudsters. Through their guidance, I was able to recover the full CAD 4,000. TechY Force Cyber Retrieval worked with my bank to reverse the transaction and liaised with the authorities to trace the scammer's details.This was a hard lesson, and I now know to be highly cautious about online job offers that require upfront payments. It is crucial to research companies thoroughly and avoid any job that seems too good to be true, especially when it involves paying money upfront. WhatsApp https://wa.link/2x6ktp Mail. [email protected]
15.09.26 15:45 lydiassmith567

HIRE A HACKER YOUR STOLEN CRYPTO RECOVERY / BTC / USDT / ETH WITH THE HELP OF CAPITAL CRYPTO RECOVER. I want to share my experience publicly regarding cryptocurrency wallet recovery, I highly recommend you to contact CAPITAL CRYPTO RECOVER, a professional private investigator in the Bitcoin world. They have a certified expert security team specializing in Bitcoin Recovery Services and have helped many people worldwide recover their lost funds. My wife and I were defrauded by an online manipulator posing as an experienced crypto investment professional. We lost $9.2 Million Stolen BTC in cryptocurrency and were left feeling homeless. After spending hours searching for a reliable crypto recovery service, I discovered CAPITAL CRYPTO RECOVER online. By patiently explaining my situation to their team, I was able to recover all my funds. Remarkably, my money was returned to my wallet in less than 24 hours. I am extremely grateful to CAPITAL CRYPTO RECOVER for their excellent assistance—they truly were a godsend in my difficult situation. If you have fallen victim to a cryptocurrency scam, you can reach CAPITAL CRYPTO RECOVER through the following channels Email: [email protected] OR Call/WhatsApp: +1 (336) 390-6684 Contact: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
15.09.26 15:45 lydiassmith567

HIRE A HACKER YOUR STOLEN CRYPTO RECOVERY / BTC / USDT / ETH WITH THE HELP OF CAPITAL CRYPTO RECOVER. I want to share my experience publicly regarding cryptocurrency wallet recovery, I highly recommend you to contact CAPITAL CRYPTO RECOVER, a professional private investigator in the Bitcoin world. They have a certified expert security team specializing in Bitcoin Recovery Services and have helped many people worldwide recover their lost funds. My wife and I were defrauded by an online manipulator posing as an experienced crypto investment professional. We lost $9.2 Million Stolen BTC in cryptocurrency and were left feeling homeless. After spending hours searching for a reliable crypto recovery service, I discovered CAPITAL CRYPTO RECOVER online. By patiently explaining my situation to their team, I was able to recover all my funds. Remarkably, my money was returned to my wallet in less than 24 hours. I am extremely grateful to CAPITAL CRYPTO RECOVER for their excellent assistance—they truly were a godsend in my difficult situation. If you have fallen victim to a cryptocurrency scam, you can reach CAPITAL CRYPTO RECOVER through the following channels Email: [email protected] OR Call/WhatsApp: +1 (336) 390-6684 Contact: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
05.10.26 21:26 [email protected]

I Invested 45,000 Euro, and later aggreviated to 198,000 Euro. I requested to place Withdrawal of my funds to be paid to my Bank account. But nothing happened I was subjected to pay more fee until I can get my funds on my account, i got in touch with Theodore ryan here on this platform who had helped a lot of people, I followed all instructions and he legally got back my withheld funds, I got threatened by the company that if I don’t pay they will get my account frozen, all thanks to Theodore ryan and I highly recommend him to anyone dealing with an unregulated broker company… contact him on his Gmail - theodoreryan318@ gmail . com
06.10.26 06:13 melissathomason573

Professional Crypto Recovery Testimonial After losing a significant amount of cryptocurrency through a scam on Twitter, I was unsure whether my Bitcoin funds could ever be recovered. The experience was extremely stressful, particularly because I encountered several individuals and services claiming they could help recover my assets, only to discover that some were fraudulent themselves. A friend eventually referred me to CAPITAL CRYPTO RECOVER. Their team handled my case professionally, discreetly, and efficiently. With their assistance, I successfully recovered approximately $130,000 worth of USDT in just over a week. My experience taught me the importance of being extremely cautious when seeking cryptocurrency recovery services, as scammers often target victims a second time. I am grateful to CAPITAL CRYPTO RECOVER for the assistance I received and wanted to share my experience with others who may be facing a similar situation. If you’ve been compromised, don’t lose hope—and be careful of fraudsters posing as saviors. CAPITAL CRYPTO RECOVER are real professionals in crypto recovery. I am a living proof of their effectiveness, you can reach them through Phone (Call/WhatsApp): +1 (336) 390-6684 Email: [email protected] Alternate Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
06.10.26 06:13 melissathomason573

Professional Crypto Recovery Testimonial After losing a significant amount of cryptocurrency through a scam on Twitter, I was unsure whether my Bitcoin funds could ever be recovered. The experience was extremely stressful, particularly because I encountered several individuals and services claiming they could help recover my assets, only to discover that some were fraudulent themselves. A friend eventually referred me to CAPITAL CRYPTO RECOVER. Their team handled my case professionally, discreetly, and efficiently. With their assistance, I successfully recovered approximately $130,000 worth of USDT in just over a week. My experience taught me the importance of being extremely cautious when seeking cryptocurrency recovery services, as scammers often target victims a second time. I am grateful to CAPITAL CRYPTO RECOVER for the assistance I received and wanted to share my experience with others who may be facing a similar situation. If you’ve been compromised, don’t lose hope—and be careful of fraudsters posing as saviors. CAPITAL CRYPTO RECOVER are real professionals in crypto recovery. I am a living proof of their effectiveness, you can reach them through Phone (Call/WhatsApp): +1 (336) 390-6684 Email: [email protected] Alternate Email: [email protected] Website: https://recovercapital.wixsite.com/capital-crypto-rec-1
06.10.26 17:44 Darrell1717

I fell victim of a scam I invested to total of 5thousand into. I know it could be risky but after I trusted this man I was dating online he lured me into investing with him. I know hard I worked of my money so I wanted every way possible to get it back. I really appreciate Blockrecoveryexpert for successfully recovered my funds form this scammer. This is all I can say. You can reachout if you ever need help contact blockrecoveryexpert (at) gmail (dot)com
11.10.26 03:04 Patricia014

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13.10.26 14:14 lisalisa22

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25.10.26 14:35 lydiasmitth456

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25.10.26 14:35 lydiasmitth456

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27.10.26 01:58 KATHLEEN

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27.10.26 02:22 kimberlyhebertt6877

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