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Как прошла AAAI 2026: большой репортаж

Привет, Хабр! Конференции серии AAAI — крупнейшие события в области искусственного интеллекта, которые утягивают на себя внимание в начале каждого года. Местом проведения AAAI 2026 стал Сингапур, что позволило мне — директору лаборатории когнитивных систем искусственного интеллекта AIRI и Центра когнитивного моделирования в Институте искусственного интеллекта МФТИ Александру Панову — и многим моим коллегам принять в ней участие.

По ходу конференции я вёл заметки о докладах и событиях, которые были мне интересны, общался с коллегами, подмечал тренды, фотографировал. Посмотреть было на что. Например, AAAI 2026 стала первой в истории экспериментальной площадкой такого уровня по использованию LLM в качестве рецензентов.

Я решил собрать всё в один большой репортаж, чтобы те, кто по какой‑то причине не смог присутствовать, смогли хотя бы прочитать о том, что там происходило. Конечно, обозреть всё на такой огромной конференции невозможно. Но если вам, как и мне, нравятся нейросимвольная интеграция и RL, то вам будет интересно.

Поехали!

AAAI — это одна из ведущих конференций не по узкому направлению (как изначально были, например, NeurIPS или ICML), а всему набору топиков в ИИ — от символьных методов до робототехники и нейросетей. То, что юбилейная 40-я AAAI в этом году проходит в Сингапуре (хотя раньше всегда была в Канаде или США), с одной стороны, удивляет, с другой стороны, логично, так как разнообразие и количество азиатских исследователей, которые принимают участие в AAAI, давно к этому ведёт.

На фото ниже можете оценить пакета участника. Он, как под копирку, взят с других конференций — сумка с лого спонсоров и бутылочка для воды. Из полезного — бирка на чемодан.

Эта конференция одна из самых длинных: программа рассчитана на 8 дней и всё начинается с двух дней туториалов и так называемой программы «мостов» — воркшопов, на которых объединяются каких‑то две очень разных темы, например, ML и исследование операций. В первый день я побывал на двух таких «мостах» и вечером заглянул на туториал.

20 января — туториалы и «мосты»

Начну с «моста» Advancing Large Language Models and Multi‑Agent Systems, так как мультиагентные LLM теперь в тренде. Отметил для себя парочку основных докладчиков:

Yi R. (May) Fung из Гонконга. Рассказывала про основные принципы мультимодальной координации между агентами.
Matthew E. Taylor, известный специалист по агентам и RL из Альберты. Упирал на то, что человек важен в цикле взаимодействия агентов и среды, как минимум чтобы формировать правильную функцию вознаграждения.

Намного лучше была раскрыта тема в «мосте» Logical and Symbolic Reasoning in Language Models. Рассуждающие модели сейчас это вершина развития LLM, поэтому то, как можно усилить эти возможности с помощью логических методов, интересует многих. Как раз один из вариантов моей любимой темы про нейросимвольную интеграцию.

Приглашенных докладчиков оказалось много, поэтому весь «мост» шёл два дня. В первый день я отметил для себя следующих коллег:

Hanmeng Liu, скромный исследователь из курортного Хайнаня. Напомнил всем про логические методы, символьное программирование и типы рассуждений.
Liangming Pan из Пекингского университета. Сделал замечательный доклад, основная мысль которого сводится к тому, что современные LLM ненадежны в своих рассуждениях.
Lan‑Zhe Guo из Нанкина. Основной посыл — символьные методы всё ещё нужны, чтобы повышать надежность LLM моделей в рассуждениях и использовать их как генераторы данных для LLM и как мутаторы, аугментаторы данных.
Haoxuan Li, молодое дарование из Китая. В 15 лет окончил университет, в прошлом году защитил диссертацию и опубликовал суммарно 15 (!) статей на NeurIPS + по 3–4 на ICML и ICLR. Продуктивность зашкаливает! Кстати, среди прочего тоже занимается рассуждающими моделям.

Доклад Haoxuan Li

На «мостах» были также обычные постеры и устные доклады, но они, как правило, уровня воркшопов. Также на удивление полезным оказался туториал LLM‑based Multi‑Agent Systems: From Foundations to Frontiers, в котором было много и просто про обучение LLM агентов. Например, Charlie Masters из стартапа DeepFlow рассказывал про то, как правильно (до)обучать LLM агентов c RL.

Еще на туториале обзорно рассказывали про важность и последние реализации мультиагентных систем. Прошлись и по социальным симуляторам типа Simulacra, поговорили про помощника ученого от Gemini и про сеть эволюционирующих агентов AgentNet. Отдельно обсудили коммуникационные протоколы и вообще варианты организации общения агентов.

21 января

Второй день конференции продолжился по большей части различными туториалами.

Утро началось с обильного количества формул на туториале по ассоциативной памяти и сетям Хопфилда Modern Methods in Associative Memory. Его вел Dmitry Krotov, выпускник МГУ и соавтор самого Джона Хопфилда. Основная идея здесь была в плотной ассоциативной памяти и интеграции с классическими нейросетями, в первую очередь энергетическими трансформерами и диффузионными моделями. Вообще, туториал был очень качественный, с питоновским кодом, простыми примерами и даже домашним заданием!

Перед обедом заглянул на еще один «мост» — PLAN‑FM: Bridging Planning and Reasoning in Natural Language with Foundational Models. Вот, что из докладов и постеров мне там понравилось:

Очень известный робототехник David Hsu из Сингапурского университета рассказывал про планирование в открытом мире с RL и нейросетевыми CV моделями.
SAMKE: An Open‑Ended Autonomous Foundation‑Model‑Based Agent for Meta‑Knowledge Discovery — монструозная архитектура метаобучения.
Модель с рекуррентным предсказанием токенов в трансформере для построения модели мира — Next‑Latent Prediction Transformers Learn Compact World Models.
Pulkit Verma — про обучение LLM планированию действий. Рассуждают модели иногда неплохо, а вот планируют часто так себе. Поэтому нужны дообучение, логический CoT и верификация.

И завершил я день своей любимой темой на туториале Agentic AI for Scientific Discovery: Benchmarks, Frameworks, and Applications.

Уже не раз мне встречавшийся Chandan Reddy из университета Вирджинии снова провел отличный обзор методов автоматического построения аналитических формул по данным, что является хорошим примером выявления причинно‑следственных связей и их обобщения.
Zonglin Yang из стартапа MiroMind, который разрабатывает агентов для автоматизации химических экспериментов.
Ruochen Li из лаборатории Xinya Du (Техас) — про автоматизацию цикла ML исследований, где всё делать проще, чем в химии.

В общем направление автоматизации исследований идет семимильными шагами. Надо не отставать!

22 января — основной трек конференции

На третий день конференции начался основной трек, и его открыл приветственным словом главный председатель и заодно наш знакомый специалист по MAPF Sven Koenig. Затем программный комитета озвучил основные цифры: почти 31K отправок (очередной рекорд среди всех конференций по ИИ), 26K рецензентов, 2K SPC (Senior Program Committee), 500 area chairs.

Рецензирование проходило в второй фазе; на первой же по 2 рецензиям сразу без ребаттла отсекали много статей. В этом году был эксперимент со справочными LLM‑рецензиями (использовали GPT-5), показали статистику оценки их полезности. Большинство нашли, что такие рецензии всё же хоть как‑то полезны. При этом авторы отклоненных работ хвалили ИИ‑рецензии, а человеческие, наоборот, ругали (но об этом ниже). Такие времена.

Конференция посвящена всем топикам ИИ: от философии до робототехники. Но среди ключевых слов, конечно, преобладают языковые модели, обучение, диффузионные модели. Поразило количество авторов из Китая на «американской» конференции — теперь их в 6(!) раз больше, чем ближайших «преследователей» — США. Ну и неплохо представлен сам Сингапур на домашнем событии.

Общий уровень принятия статей — 17,5%. Наиболее конкурентные области — ML/CV, наименее — теория игр и экономические приложения.

Сразу же объявили лучшие статьи конференции, а также приз за классическую статью (как на ICLR) — награждают наиболее значимые работы 15-летней давности. В этом году это были

Understanding Natural Language Commands for Robotic Navigation and Mobile Manipulation ‑за 10 лет до современных VLA и LLM!
Learning Structured Embeddings of Knowledge Bases — статья от в то время еще не такого известного Yoshua Bengio.

Завершилось открытие награждениями за разные заслуги в AAAI сообществе.

А вот вам немного шоу с открытия

В первый основного трека было два приглашенных докладчика. Первым выступал Peter Stone из Техаса с звучной темой From How to learn to What to learn in Multiagent Systems and Robotics. Он регулярно отмечается на американских конференциях и разных воркшопах, уже лет 20 занимается роботами и RL. В этом году помимо древних слайдов с прошлых времен (как например беспилотный Texplore 2013 года), рассказывал и про свои последние работы. Causal Policy Gradient for Whole‑Body Mobile Manipulation — про обнаружение причинно‑следственных связей при обучении в задачах мобильной манипуляции. ROTATE: Regret‑driven Open‑ended Training for Ad Hoc Teamwork — про обучение в открытом мире объединению в команды. В целом каких‑то интересных обобщений он не предложил, но много хвалил своих коллег.

Вечером выступал Bowen Zhou из Цинхуа о том, как правильно двигаться к AGI. Путь через LLM и RL неправильный. Надо делать специализированный ИИ, при этом самая важная задача — как раз ИИ‑исследователь. Предложил развиваемую его командой архитектуру SAGE — Synergetic Architecture for Generalizable Experts. В ней три слоя — на первом правильная память MemoryDecoder и RL для рассуждений. На втором слое — объединение обобщающей модели и доменной экспертизы с мультиагентной координацией. Наконец, на третьем слое — модели мира и эволюционное самообучение.

Слайд из доклада Bowen Zhou

Здесь упомянул свою работу SimpleVLA‑RL с правильным масштабированием RL для VLA. В общем, получилась архитектура всё обо всём. И вишенка на торте — Intern‑S1 — ИИ‑исследователь, пример агента общего назначения, который может специализироваться под конкретную задачу. Поверх еще работает агентный фреймворк — Intern Discovery. В общем, дал один из вариантов китайского видения пути к AGI. Со многим можно с ним согласиться, правда связей между компонентами в его большой архитектуре еще очень мало.

Устные доклады 22 января

Устные доклады на AAAI не сильно‑то отличались от постерных, но послушать иногда полезнее, чем смотреть постер. Побывал на нескольких сессиях по RL и робототехнике. Отмечу несколько интересных работ:

LatentVLA: Taming Latent Space for Generalizable and Long‑Horizon Bimanual Manipulation — отметился помимо своей VLA для биманипуляции еще и красивыми сгенерированными схемами.
DexGraspVLA: A Vision‑Language‑Action Framework Towards General Dexterous Grasping — VLA для точной манипуляции сложными объектами с пятипалым схватом.
Multi‑agent In‑context Coordination via Decentralized Memory Retrieval — координация агентов за счет внешней памяти.
Prototype Entropy Alignment: Reinforcing Structured Uncertainty in LLM Reasoning — один из вариантов RL для улучшения рассуждений.
Keep On Going: Learning Robust Humanoid Motion Skills via Selective Adversarial Training — интересная идея использовать «атакующие» стратегии для стабилизации стратегии.
Actor‑Critic for Continuous Action Chunks: A Reinforcement Learning Framework for Long‑Horizon Robotic Manipulation with Sparse Reward — комбинация нескольких идей с актором, который обучается только по успешным траекториям и самообучающаяся настройка вознаграждения.
Gentle Manipulation Policy Learning via Demonstrations from VLM Planned Atomic Skills — планирование с VLM и атомарными умениями.

Очень порадовала постерная и демо сессии. Наша команда в тот день представляла демо Wikontic: Constructing Wikidata‑Aligned, Ontology‑Aware Knowledge Graphs with Large Language Models. Строит граф знаний, использую онтологические знания с возможностью этот граф обновлять и расширять. На демо больше всего участникам понравился персонализированный граф. Вводишь имя и тебе выдается граф связей с другими сущностями после поиска в Google. Еще можно объединять и с графами предыдущих поисков. Теперь вот, я, оказывается, онтологически связан с Юргеном Шмидхубером.

Постеры были расположены очень удобно: огромное количество места, удобная кластеризация по темам, нет толкотни и шума. В этом смысле организаторы молодцы.

Места хватило всем

23 января

Утро четвёртого дня конференции началось с комиксов про вселенную и физику частиц! Daniel Whiteson, занимается экспериментом ATLAS в ЦЕРНе, а заодно популяризацией физики на подкастах и своих скетчах. Рассказывал, как ML помогает и зачем нужен теоретикам. Начал с того, что мы о 70% Вселенной не знаем совсем ничего (темная энергия), и это огромный вызов для каждого физика. Поэтому всякие адронные коллайдеры очень нужны, и важно правильно анализировать огромный поток данных по трекингу частиц. Здесь пригождаются и генеративные модели, и графовые нейросети. Добрую часть доклада посвятил шуткам и рекламе своих книг и блога. Запомнился пример, как 12-летняя девочка ему написала письмо, что хочет заниматься физикой, и вернулась через 5 лет уже в качестве потенциального сотрудника. Вот для чего нужны подкасты🙂.

В обед был ещё один нетехнический доклад от Yolanda Gil из Калифорнии. Она занимается организацией коммуникации учёных друг с другом, и её рассказ был посвящён сложностям такой коммуникации. Раньше наука была для одиночек, потом для маленьких групп, а сейчас — для коллабораций из тысяч участников. Чтобы работа шла эффективно, надо правильно друг с другом говорить. Она отметила, что многим с трудом даётся общение в офисе (у кулера с водой), сложно доверять новым методам, легче что‑то переделать, чем разбираться в существующем, сложно понять, с кем нужно вступить в коллаборацию, — и, как следствие, сложно достигать консенсуса с коллегами. Показывала несколько ИИ‑инструментов, которые помогают решать эти проблемы, вроде автоматического тестирования гипотез и шаблонов для поддержания процессов в общих исследованиях. К ИИ‑исследователю, кстати, относится скептически — «мало, кто хочет, чтобы его работу полностью делал ИИ».

Отдельно отмечу великолепную вечернюю лекцию от неизвестной мне ранее Katerina Fragkiadaki из CMU с общим названием Towards Embodied Agents that See, Simulate, and Reason. Основной посыл — нужно активно использовать генеративные модели для симуляции мира и создания систем управления в робототехнике. При этом использовать не такие модели, как генерацию 2D‑картинок, а как минимум работать в 3D, а еще лучше — с обуславливанием на реальную физику и геометрию. Обычная токенизация очень избыточна при работе с видео, поэтому надо добавлять 3D индуктивный байес в VLM и VLA. Отметила свои работы UniVLG и 3D DiffuserActor, в которых как раз реализуется правильное использование 3D информации. Для VLA они это реализовали в виде 3DFlowActor c биманипуляцией и побили pi0 в свое время.

Много говорила про создание симуляторов и сцен в них. Например, что для генерации ассетов и мешей есть целый набор инструментов: G2n3Sim, RoboGen, Hunyuan3D, CAST. У них тоже есть свой инструмент PartCrafter для генерации объектов в сценах с VAE декодером. Важной задачей является и генерация физического взаимодействия объектов и функций вознаграждения, чтобы обучать модели в симуляции. Тут им приходится сочетания MCTS и RL для генерации демонстраций (VLM guided MCTS).

Понравился их бенчмарк для VLA — RoboArena∞ с тестированием real2sim. Похвасталась невероятным по производительности симулятором Genesis, который на порядок быстрее IsaacGym. В целом это был один из лучших докладов на конференции.

Слайд из доклада Katerina Fragkiadaki

Побывал на сессии с докладами старших членов ассоциации AAAI. Полезно послушать обзор или мнение не аспирантов, а уже опытных товарищей.

В докладе Implications for AI Research: Applying Lessons from the Expert Systems Boom and Bust to the Current Large‑Language Model Boom американец Ted Senator поделился воспоминаниями о пузыре экспертных систем. Текущий пузырь точно сдуется с тремя исходами: все запретят, появится AGI, но более реально — LLM станет просто очередным инструментов в наборе наших текущих инструментов.
Stefan Kramer из Германии рассказал про идею нового теста для ИИ — The Tatort Test of Intelligence. Оказывается, есть такое популярное шоу Tator, где нужно играть роль детектива. Модель смотрит 90-минутное видео и должно затем объяснить, что там происходит, какая подоплека, и как развивается интрига. Для текущих моделей пока явно не особо решаемая задача.
Parisa Kordjamshidi из Мичигана рассказывала про рассуждения с нейросимвольным ИИ, обучение с логическими ограничениями и методы композиционной генерализации. Отметила свою работу Neptune про нейропитон.
И в заключении был доклад от лаборатории уже упомянутого выше David Hsu про 10 вызовов перед VLA. Основные — это устойчивые рассуждения и эффективное использование обучаемых данных. Отметил две своих работы Emma‑X про заземленную цепочку рассуждений и Nora 1.5 на JEPA модели с DPO‑дообучением на синтетических данных.

Полезная сессия с более широким видением, чем доклады по очень инкрементальным результатам!

Устные доклады 23 января

На устных докладах в тот день порадовала сессия по воплощенному ИИ — целый набор разны VLA моделей:

1) SemanticVLA: Semantic‑Aligned Sparsification and Enhancement for Efficient Robotic Manipulation — агрегация геометрических признаков в токены для DINOv2, иерархическое объединение признаков от SigLIP и DINOv2, семантический актор.

2) ReconVLA: Reconstructive Vision‑Language‑Action Model as Effective Robot Perceiver — если помните получила Best Paper Award с простой идеей генерировать специальные токены реконструкции, которые обуславливают диффузионный денойзер для реконструкции изображений.

3) DiTEA: Mixture‑of‑Experts for Vision‑Language‑Action Model in Robotic Manipulation — боролись с забыванием умений в мультизадачной постановке с добавлением смеси экспертов MoE и специального гейт‑механизма выбора экспертов.

4) VLA‑Adapter: An Effective Paradigm for Tiny‑Scale Vision‑Language‑Action Model про то, как нужно правильно организовывать связь между VLM частью и экспертом действий в VLA моделях.

5) Learning Human‑Object Interaction Priors for Robotic Dexterous Manipulation — дизайн вознаграждения для работы с пятипалыми схватами с предсказанием поз руки и объектов.

Наша команда тоже отработала на основном треке конференции🤓. Представили два доклада.

CAMAR: Continuous Actions Multi‑Agent Routing — супербыстрая и гибкая среда для задач мультиагентного поиска пути с непрерывными действиями, которая заполняет важный пробел в средах для более реалистичных робототехнических задач. Работаем с гетерогенными агентами, разными моделями вознаграждения, и централизованный, и децентрализованный сценарии. Протестировали много разных классических и RL алгоритмов. Отмасштабировались до 10К агентов. Ждем звездочки на гитхабе!😉

Коллеги из Петербурга презентовали в том числе на устной сессии MeshA*: Efficient Path Planning With Motion Primitives. Показали, как можно перевести в клеточную постановку примитивы движения и применять там стандартный поисковый алгоритм, заодно поборовшись со сложностью этого поиска.

24 января

5 день конференции стартовал с детального разбора уже упомянутого ранее первого в истории конференций по ИИ эксперимента по использованию LLM как дополнительного рецензента. Оказалось, что организаторы подошли к этому вопросу очень серьезно: как в эпоху огромного количества отправляемых статей и LLM‑агентов повысить качество рецензирования? Можно было вообще не давать авторам/рецензентам никаких дополнительных инструментов или полноценно включить LLM в цикл рецензирования. Решили сделать промежуточный вариант — открыть авторам LLM‑рецензию без итоговой оценки, а рецензентам дать LLM‑метаревью, тоже без итоговой оценки для помощи в суммаризации дискуссии.

Рецензии генерировались в результате довольно сложного процесса, при этом использовалась GPT-5 от OpenAI, но никакие данные на их стороне не хранились. Аккуратно работали с изображениями, таблицами и формулами, сам текст переводили в маркдаун. Предварительно анализировали консистентность статьи, добавляли инструмент поиска литературы и самокритика (был целый отдельный опросник для LLM‑проверки рецензии), выборочно SPC смотрели отдельные сгенерированные рецензии.

Сама генерация для всех статей заняла ровно сутки со стоимостью менее доллара за статью (37B токенов всего). Основные сложности, которые возникли: нехватка токенов на статью, ошибки в чтении формул и таблиц. Откровенных галлюцинаций или раскрытия идентификаторов авторов было не так много. Для мета‑рецензентов тоже была помощь в виде генерации списка моментов, в которых рецензенты сошлись по статье, и моментов, по которым у них были разногласия. Как говорится, дальше выводы делайте сами.

Важно, что организаторы также проверили детальное исследование удовлетворенности таким использованием LLM всех участников процесса. Вкратце — многие оказались довольны и их ожидания от результата были превзойдены. Данный эксперимент явно был признан успешным, но отдавать бразды правления LLM явно никто не хочет. Их будут продолжать использовать на конференциях, но скорее пока только как вспомогательный инструмент без возможности выносить какие‑то решения.

На пленарной лекции Ece Kamar из Microsoft говорила про переход от чатботов к полноценным LLM‑агентам для повышения качества пользовательского опыта. Важный акцент сделала на необходимости разработки малых моделей (7B), которые не теряют способности генерировать связный текст и способности рассуждений. В Microsoft есть тоже свой такой агент — Fara 7B который сильно обходит другие модели по соотношению качество‑стоимость вычислений. В будущем докладчица видит целое сообщество агентов, коммуницирующих друг с другом. Но на этом путь есть пробел коллаборации — агенты в нее плохо умеют. Об этом даже выпустили отдельную статью, где показали, что коллаборация важна при решении интересных задач, но еще недостаточно хорошо реализуется с LLM‑агентами.

Вечером с темой AI for Reskilling, Upskilling, and Workforce Development выступал Ashok Goel из Джорджии по случаю его награждения премией Энгельмора. Много говорил про проблемы образования в эпоху ИИ (даже не LLM), особенно для людей 30+. Есть, оказывается, отдельная организация — AI‑ALOE, которая занимается такими вопросами. В Университете Джорджии еще 10 лет назад проводили эксперимент с ИИ‑ассистентом студента, в чем‑то он даже был полезен. Докладчик упирал на важность использования разных инструментов для анализа трека студентов и визуализации того, что происходит с классом, чтобы социальная вовлеченность преподавателей была выше.

Слайд из доклада Ashok Goe

Устные доклады 24 января

Из устных докладов отмечу несколько, с разных сессий:

1) Доклад Mingyu Ding из UNC на сессии New Faculty Highlights (для «восходящих звезд») был в основном про генерацию данных с LLM для обучения робастного схвата. Упомянул свою работу PhyGrasp — схват с использованием описания объекта с LLM, но с проверкой на физику.

2) Counterfactual Planning for Generalizable Agents“ Actions — планирование с явным выводом причинно‑следственный связей задачи и текущего состояния.

3) Perceiving the Knowledge Boundary: Uncertainty‑Guided Exploration and Imagination for World Models — делаем ансамбль предсказаний модели мира на основе Dreamer, считаем дисперсию и используем это как внутренний сигнал вознаграждения.

4) Dynamic Sparsity: Challenging Common Sparsity Assumptions for Learning World Models in Robotic Reinforcement Learning Benchmarks — интересный доклад, про то, что данные в RL‑задачах обладают разреженностью, и бороться с ней обычными моделями типа MLP или RNN не выходит, нужны новые архитектуры. Тут как раз могут пригодиться наши нейроморфные алгоритмы.

5) SAPO: Self‑Adaptive Process Optimization Makes Small Reasoners Stronger — новый вариант оптимизатора для дообучения LLM с детекцией ошибок в цепочках рассуждений.

6) Policy Zooming: Adaptive Discretization‑based Infinite‑Horizon Average‑Reward Reinforcement Learning — одна из немногих теоретических работ по RL с адаптивной дискретизацией.

7) CATAL: Causally Disentangled Task Representation Learning for Offline Meta‑Reinforcement Learning — реконструкций переходов в автономно мета‑RL.

25 января

Вот и наступил последний день основной программы, но не последний день конференции.

Утром David Poole вместе с Alan Mackworth, получивший образовательную награду на этой конференции, пересказывал студенческий уровень по содержанию одной из своих книг по агентному подходу к ИИ. Совсем базовые вещи про цикл взаимодействия, Байес и обучение с подкреплением. Кажется, что на конференции такого уровня можно было бы добавить какого анализа про то, что сейчас студентам нужно, а что уже нет, но такого не было.

Кстати, их книга Artificial Intelligence: foundations of computational agents безусловно очень полезная. Раньше сопровождалась кодом на Java, но теперь по понятным причинам все переехало на Python, а темы покрыты очень полезные — про планирование, неопределенность, рассуждения.

Обеденная лекция была проплаченной рекламой одного из спонсоров конференции — Squirrel AI. Основатель без особого опыта выступления перед такой аудиторией рассказывал мало связные вещи про проблему доступности образования, важности индивидуальных треков и так далее. Хвалился огромным набором данных от 50М пользователей, которые подключены к их образовательному ИИ‑ассистенту.

Есть здесь на конференции и такой трек, как представление уже опубликованных результатов из журналов. На одной из таких сессий рассказывали про статьи из известного журнал IEEE Transactions on Robotics (T‑RO). Занимательный рассказ был по статье CineMPC: A fully autonomous drone cinematography system incorporating zoom, focus, pose, and scene composition, в которой товарищи делали систему съёмку видео с коптера кинематографического качества с глубиной и оптическим зумом. Чисто инженерная задача правильного облёта и управления камерой, но очень актуально.

Была и сильно теоретическая работа PRIMP: PRobabilistically‑Informed Motion Primitives for Efficient Affordance Learning From Demonstration про вероятностные модели в группах Ли для построения траекторий движения манипулятора. Сессию завершили статьёй SICNav: Safe and Interactive Crowd Navigation Using Model Predictive Control and Bilevel Optimization — безопасной навигацией в толпе на MPC, но с двухуровневой оптимизацией и с диффузионным восстановлением окружающей сцены.

В очередной раз заглянул на сессию восходящих звезд New Faculty Highlights на соавтора Юргена Шмидхубера по имени Mengyue Yang из Бристоля, которая в 2024 году получила Rising Star in AI award. Рассказывала про каузальные модели мира в докладе Toward Causal Foundation World Models: From Representation to Decision‑Making с правильным посылом, что моделирование мила (корреляции) — это еще не его понимание (причинно‑следственные связи). Используют, конечно, Пирловское представление о каузальности (интервенции и контрфактуальность). Главное — удалить ложные корреляции и галлюцинации модели.

Слайд из доклада Mengyue Yang

Правда, конкретный пример был только один — Meta Causal World как раз с Шмидхубером в соавторах, показанный на NeurIPS 2025. Строили каузальный граф с дискретизированным VAE и задачу исследования с внутренним вознаграждением интерпретировали как каузальную интервенцию. В будущем предлагает строить более генерализуемые каузальные модели мира.

Устные доклады 25 января

Из устных докладов в тот день я был на NLP и своем любимом RL. Еще раз отмечу, что их выбор не очень коррелирует с оценками рецензий. Выбор скорее случайный от самих же организаторов.

DRIFT: Difference‑Aware Reinforcement Through Iterative Fine‑Tuning for Language Model — про то, как встроить RL дообучением в цикл основного файнтюна и не тратить дополнительные данные.
DeepOR: A Deep Reasoning Foundation Model for Optimization Modeling — фундаментальная модель для исследований операций через построение графового представления траекторий рассуждений решения задач.
W2S‑AlignTree: Weak‑to‑Strong Inference‑Time Alignment for Large Language Models via Monte Carlo Tree Search — очередная реализация правильного MCTS для повышения качества рассуждений во время вывода.
Context‑Sensitive Abstractions for Reinforcement Learning with Parameterized Actions — очень простенькая работа, зато с громким названием об одновременной абстракции действий и состояний с элементарными экспериментами на игрушечных средах.
Do It for HER: First‑Order Logic Reward Specification in Reinforcement Learning — оригинальное название для нейросимвольной модели, где предлагают кодировать вознаграждения через LTL‑логику с проверкой выполнимости формул. Все это добавляют в известный алгоритм внутренней мотивации Hindsight Experience Replay.
Beyond Monotonicity: Revisiting Factorization Principles in Multi‑Agent Q‑Learning — очередная модификация QMIX с правильной факторизацией, которая не обязательно должна быть монотонной.

Не могу не отметить замечательный постер, представленный моими коллегами из AIRI в пику всяким рассуждающим моделям — NoReGeo: Non‑Reasoning Geometry Benchmark.

А ещё в этот день наш постер CAMAR: Continuous Actions Multi‑Agent Routing получил Best Poster Award 🥳

26 Января — воркшопы

Мы добрались до 7-го дня конференции, когда начались воркшопы. В последнее время меня сильно интересует автоматизация научным исследований, поэтому в тот день я выбрал очень представительный Workshop on AI for Scientific Research.

Peter Clark из AllenAI рассказывал про проект Asta, включающий несколько инструментов автоматизации. Помимо отдельных вспомогательных инструментов типа суммаризатора литературы и анализатор данных DataVoyager показывал варианты реализации автономного исследователя. Если резюмировать его лекцию, пока LLM слабы в автономном поиске гипотез, поэтому ещё есть над чем работать.

Впечатляющий доклад сделал Yue Zhang из китайского университет Westlake — также про целый набор инструментов, собранных на сайте китайского ИИ‑исследователя. Его посыл такой: живем в эпоху огромного количества статей и плохой системы рецензирования, поэтому надо сделать TikTok для статей! Система рекомендаций — их начальный проект, правда уже не такой актуальный при наличии продвигаемого везде scholar‑inbox. Второй шаг — авторецензирование, и здесь у них также есть мультиагентная система с дебатами DeepReview. Следующий шаг — генерация обзорных статей. Думать там особо не надо — главное ничего не упустить и систематизировать. Их AutoSurvey, также в виде итеративной мультиагентной системы, был принят на NeurIPS 2024. Подозреваю, что для своих обзоров он тоже его использовал.

Наконец исследователь полного цикла — CycleResearcher. Собрали датасет из 14К статей из OpenReview, сделали SFT на этом наборе и потом еще провели RL с использованием рецензента на сгенерированных статьях. Кстати, поделился и вспомогательный инструментом AutoFigure для генерации схем к статьям. И вершина их трудов — DeepScientist, который работает с отдельной памятью в бесконечном итеративном цикле последовательного улучшения идей с байесовской оптимизацией. Привел пример, как он за 2 недели сгенерировал несколько последовательно улучшающихся решений и уверенно побил SOTA‑решение.

Слайд из доклада Yue Zhang

Также докладчик упоминал китайскую конференцию для ИИ‑исследователей — ICAIS 2025, которая проходила в ноябре 2025 года, где они предложили использовать свою платформу для генерации идей и статей. Более 60 участников и главный вывод — пока эффективность очень низкая, а результат, как я понял, их не очень порадовал. Но прогресс явно на лицо. Такой, что доступ к DeepScientist закрыт во избежание, видимо, вала некачественных, сгенерированных статей.

Во второй части воркшопа были доклады попроще и менее амбициозные.

Chen Zhao из Шанхайского филиала NYU рассказывал, как правильно нужно делать RAG для ИИ‑исследователей на примере их работы TextDiffusion и инструмента для Deep Research от OpenAI.
Молодой Chenglei Si из Стэнфорда рассказывал про то, что генерация идеи ничто, а вот её реализация — это всё, а также про предсказание годности идей. А ещё у них есть свежая интересная работа о поиске (эволюционном) с вознаграждением по выполнению кода идеи.
Завершила воркшоп уже знакомая нам Yi R. (May) Fung из HKU. Делала упор на мультимодальных агентов для поиска литературы и автоматизации исследований. Сделали систему WebWatcher с эффективным механизмом исследования поискового пространства. Поделилась полезным инструментом CiteGuard для устранения галлюцинаций в цитированиях, на чем сейчас в основном и ловят сгенерированные статьи.

По итогу нужно сказать, что область ИИ‑исследователей развивается семимильными шагами. Сгенерированная, особенно в итеративном цикле с человеком, статья, уже вполне солидного качества, и не зря на последних конференциях их отлавливают уже сотнями — порой уже после принятия. Без таких инструментов конкуренцию не выдержать.

Наша группа также отработала на двух воркшопах. На воркшопе Theory of Mind and AI рассказали про нашу модель со знаковой картиной мира и её использование для улучшения взаимодействия человека и робота. На нашем любимом Workshop on Multi‑Agent Path Finding прорекламировали сразу все свои свежие работы: LC‑MAPF, CoRL‑MPPI, CAMAR, MARL‑GPT, а Константин Яковлев выступил с пленарной лекцией и всем доступно объяснил, что будущее MAPF сейчас — это интеграция обучаемых и классических подходов. Ждем, что цитат наших работа должно существенно прибавиться 📈

Лекция Константина

После обеда с коллегами улучили время и побывали в гостях у известного робототехника David Hsu в его лаборатории в NUS. Посмотрели их Live Studio, роботов, разные демонстрации и обсудили их последние статьи. С самим Дэвидом почти час поговорили про VLA vs модульный подход, про важность использования явных графовых представлений, про сложность работы с разными платформами и про перспективы стартапов в области робототехники. Очень полезный разговор. Сам университет произвел приятное впечатление, очень колоритный и уютный.

27 января

В завершающий день воркшопов и всей конференции я переключился на темы биологической правдоподобности и мультиагентности. На воркшопе Multimodal NeuroAI была пара очень интересных докладов.

Andreas Tolias из Стэнфорда рассказывал про фундаментальные модели мозга, которые, с одной стороны, обучаются на большом количестве нейроданных (нейронная активность, генетика, поведение), а с другой — могут решать разные задачи: предсказывать/контролировать активность реальных нейронов, тестировать разные теории, диагностировать заболевания.

Был отличный доклад от Mitya Chklovskii (да, он с русскими корнями) из Flatiron Institute про новый тип активации для классических нейросетей, но на базе биологических принципов. Предлагают так называемый ReSU нелинейную функцию взамен ReLU, в которой строится так называемое CCA — выделение главных компонент с учетом накопления сигнала. Очень многообещающая работа — попробуем что‑то позаимствовать и для себя.

Слайд доклада Mitya Chklovskii

Сами также отметились на воркшопе с работой A Biologically Interpretable Cognitive Architecture for Online Structuring of Episodic Memories into Cognitive Maps, которая развивает нашу прошлую работу по эпизодической памяти на структурированных скрытых марковских моделях, но теперь мы делаем их обобщающими за счёт специального механизма кластеризации. Вот как раз можно его будет сделать на основе CCA, как советовал Митя из Нью‑Йорка🙂.

Побывал также на воркшопе LLM‑based Multi‑Agent Systems: Towards Responsible, Reliable, and Scalable Agentic Systems. Многое ждал от доклада патриарха мультиагентных систем Michael Wooldridge из Оксфорда. Однако было много про историю, с эпохи экспертных систем, и совсем мало каких‑то свежих мыслей.

Зато успешно представили нашу работу CoSMAC: A Benchmark for Evaluating Communication and Coordination in LLM‑Based Agents, где предлагаем тестировать LLM‑агентов в типичной MARL‑среде Starcraft с обменом сообщениями. Оказывается, что даже для рассуждающих моделей это сложно, и надо придумывать привальное RL дообучение. А в этом время коллеги, тоже не тратили зря время и побывали в гостях в лаборатории NUS тоже у известного нашего коллеги — мультиагентщика Guillaume Sartoretti.

На этом пришла пора прощаться с Сингапуром и конференцией. Юбилейная AAAI вышла очень большой и разнообразной, мы с коллегами вынесли оттуда для себя очень много ценного, познакомились с новыми исследователями, подержали руку на пульсе текущих трендов.

Если вам нравятся обзоры различных конференций по ИИ, приглашаю вас к себе в канал Grounding Knowledge.

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7 февр. 2026 г.

26.06.26 15:05 Riley Stephens

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07.07.26 18:01 robertalfred175

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09.07.26 19:06 Toivo Walli

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18.07.26 17:12 Malthe Larsen

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19.07.26 04:10 Fraddy Pual

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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.
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03.08.26 20:05 Philip

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03.08.26 20:06 Philip

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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

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16.08.26 01:44 Matt Kegan

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18.08.26 04:59 marcushenderson624

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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.
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30.08.26 15:37 [email protected]

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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

Most recovery companies will take your money again. I personally think they’re the same set of people running all of them. It’s a sad, unending cycle, and so many people fall for cloned websites. The only recovery agent I know is Agent Rottgen Raphael. I’ve visited their physical company address, and they’ll tell you if they can handle your case instead of taking upfront payment when they know they can’t help. I highly appreciate their support in recovering my money from the scammers’ wallet within 24 hours. RottgenRaphael@Gmail. com
12.10.26 19:34 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
12.10.26 19:34 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
13.10.26 14:14 lisalisa22

Legitimate Cryptocurrency Recovery Services: Consult ZEUS CRYPTO RECOVERY SERVICES Zeus Crypto Recovery Services supports individuals exploring options after cryptocurrency losses from fraud, unauthorised transfers, or wallet access issues. Services may include blockchain analysis, wallet tracing, and evidence gathering for investigations. Each case is reviewed. Zeus Crypto Recovery Services is a trusted company with the highest success rate among cryptocurrency recovery services in 2025/2026 and is highly recommended if you have been scammed. ZEUS CRYPTO RECOVERY SERVICES handles case such as Scammed USDT Lost BTC, Coinbase Wallet Forgotten password, ETH and coins, etc. Anything that has to do with cryptocurrency or lost digital assets, ZEUS can help you Do you Need Help? Website https://zeusrecoveryservices.com Mailbox [email protected] WhatsApp number +447798816938 Telegram https://t.me/Zeuscryptorecoveryservices
13.10.26 14:14 lisalisa22

Legitimate Cryptocurrency Recovery Services: Consult ZEUS CRYPTO RECOVERY SERVICES Zeus Crypto Recovery Services supports individuals exploring options after cryptocurrency losses from fraud, unauthorised transfers, or wallet access issues. Services may include blockchain analysis, wallet tracing, and evidence gathering for investigations. Each case is reviewed. Zeus Crypto Recovery Services is a trusted company with the highest success rate among cryptocurrency recovery services in 2025/2026 and is highly recommended if you have been scammed. ZEUS CRYPTO RECOVERY SERVICES handles case such as Scammed USDT Lost BTC, Coinbase Wallet Forgotten password, ETH and coins, etc. Anything that has to do with cryptocurrency or lost digital assets, ZEUS can help you Do you Need Help? Website https://zeusrecoveryservices.com Mailbox [email protected] WhatsApp number +447798816938 Telegram https://t.me/Zeuscryptorecoveryservices
17.10.26 12:58 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
17.10.26 12:58 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
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