Все опубликованные аналитические материалы, исследования суверенного стека, новости экосистемы и обзоры моделей ИИ.
In recent weeks, leaders of some of the biggest AI companies have warned that the very tech they are developing is dangerous. Last weekend, Anthropic CEO Dario Amodei argued that AI carries serious risk and that progress should be slowed. OpenAI CEO Sam Altman responded on X: “I…
So, OpenAI posted their framework for tracking, investigating, and disclosing instances of model misalignment at OpenAI. And we'll talk about that in just a little bit. But here's the thing. They've published six reports of instances where AI agents behaved, you know, in a…
Anthropic запустила Projects в Claude Code..
The new institute aims to surface differing views between Google, Google DeepMind, and the broader global research community around AGI. "They will not always agree, and they will likely change their minds, as more data and information comes to light at the fast-moving frontier."
🚀 Learn the latest AI models and tools → https://aimaster.me/yt/fable5_1 🤝 Exclusive brand partnership — https://aimaster.me/collab Anthropic just shipped Claude Fable 5.1 — and I put it through real prompts instead of just reading the benchmark charts. In this video I break…
Remember when tech leaders would tell their employees to “move fast and break things”? It seemed that would be the way of AI too. But after a summer where rogue AI agents became reality, and researchers warned that AI could kill us all, a number of leading US AI companies are…
The Dreamforce conference became an unlikely battleground for the CEOs of OpenAI, Anthropic, and Nvidia to debate whether AI development should slow down.
In response to a new European Union law, AI platforms are implementing new schemes for watermarking the content they generate. Anthropic recently disclosed its future Claude models will use SynthID-Text, an approach Google created and released as open source. It uses a secret…
Claude сможет подключаться к банковскому счёту и анализировать, куда уходят ваши деньги.
🎵 Сотни песен российских исполнителей нашли в иностранных датасетах для обучения ИИ — правообладатели утверждают, что разрешения не давали Аналитики Национальной федерации музыкальной индустрии изучили две открытые базы — Laion-Disco-12M и Sleeping-D 9M, содержащие в общей…
Всем привет. В этом выпуске самые главные свежие новости об искусственном интеллекте и технологиях. И приближается к новому рубежу. Модели начинают помогать создавать более совершенные версии самих себя. И агенты теперь могут доносить на другие нейросети, если замечают…
Привет. И сегодня у нас на тесте первый раз псик на моём канале. Я по разным причинам, которые я не озвучиваю, я его саботирую. Но в этот раз саботировать Deeps не удалось, потому что модель довольно хайповая получилась, да. Deepsic 4.1 Flash вроде как по бенчмаркам, по разным…
Совет на ближайшие годы — идите в Data Science и ML.
Today, I’m talking with Mustafa Suleyman, the CEO of Microsoft AI. As you’re no doubt aware, the biggest story in tech right now is the spiraling debate about AI safety and regulation. It should come as no surprise that Mustafa has strong opinions on how AI should be built and…
что Anthropic в то же время говорит: «Эй, мы строим что-то, что сначала у нас нет плана, текущий план, как это контролировать, имеет потенциал уничтожить все человечество, и, кстати, через несколько недель мы выходим на IPO». Мол, можете ли вы помочь мне понять эту логику?…
Они это сделали: Anthropic объединяет Claude Cowork, Claude Design и обычный чат в один Claude 🎉.
GPT-6 Astra практически без ограничений???.
LLM inference optimizations report speedups on different models, GPUs, prompts, and quality metrics, making them hard to compare or combine. We build a cost, quality, and latency Pareto atlas to identify the best configurations for different deployment constraints. Since…
Large language model (LLM) trading agents can combine market data, news, and executable analysis, but their behavior is often controlled by static hand-written tool-use policies that are fixed before deployment. This limits their ability to adapt how they gather evidence, invoke…
Behavioral cloning trains a policy offline on expert demonstrations, but deployment is closed loop: each action affects the observations the policy receives next. We study how much closed-loop driving competence a compact multimodal policy can acquire from offline demonstrations…
We present NeMo Data Designer (NDD), an open-source, general-purpose framework for multi-modal synthetic data generation (SDG). Designed to be intuitive to use, NDD provides a declarative configuration format in which human and/or agent users define each dataset column, with…
Vision-language model (VLM) agents combine specialized perception, tools, and reasoning to address complex visual tasks. In multi-agent settings, different agents inspect different image regions, video frames, or visual representations, so collaboration extends beyond…
Document repositories evolve continuously. Guidelines and policies are revised, superseded, and re-uploaded, so the same content recurs in different wording and newer versions refine or contradict earlier ones. These inconsistencies belong to the growing collection rather than…
High-resolution land use and land cover (LULC) products derived from Sentinel-2 imagery are widely used for environmental monitoring and land management, yet their performance can vary across regions with complex ecological gradients and heterogeneous surface conditions. In…
Learning from human feedback has become a central paradigm for training modern AI systems, where models of human utility are used as reward models in policy learning. Existing methods typically assume a \emph{universal utility} function shared across a population and treat…
Large reasoning models (LRMs) generate long chain-of-thought traces before answering, creating significant inference overhead. Pruning can reduce this cost, but its effectiveness depends on the calibration data used to estimate parameter importance. Recent work calibrates on the…
City pedestrian counting systems now feed economic indicators, planning decisions and safety operations, yet the twins built on top of them treat the incoming stream as ground truth. We study what happens when it is not. We formalise stealthy false data injection for city-scale…
Wearable assistants require episodic memory over egocentric video, yet current vision-language models face bounded frame budgets, growing visual-token costs, and long-context retrieval failures. Under these practical constraints, we study whether textual captions can serve as…
AI is changing what leaders must judge, explain, learn, and coordinate, yet existing measures do not capture these behaviors at the level needed to study leadership in AI-enabled work. We develop the AI Leadership Battery, which organizes 36 behaviorally specific subdimensions…