All published intelligence, sovereign stack research, ecosystem news, and AI foundation model reviews.
Over the past few days, a lot of people who stand to make a lot of money from AI all publicly agreed that it's time to make everyone slow down before we lose control - including OpenAI CEO Sam Altman, Anthropic CEO Dario Amodei, Google DeepMind cofounder Demis Hassabis,…
New OpenAI Economic Research shows how workers use AI beyond traditional roles and which new activities become recurring parts of their work.
Глава OpenAI Сэм Альтман считает, что общество должно доверять компаниям ИИ, несмотря на растущие опасения по поводу рисков. Он признает обоснованные страхи, но утверждает, что саморегулирование в отрасли возможно. Комментарии Альтмана прозвучали на фоне призывов к большему…
Генеральный директор Anthropic Дарио Амодеи призывает замедлить развитие ИИ, акцентируя внимание на необходимости оценки безопасности и координации между странами. В противовес этому, генеральный директор Nvidia Дженсен Хуанг выступает за быстрое развитие, отвергая опасения по…
Статья описывает растущую тенденцию неудач стартапов и проектов в области ИИ, которые не могут выжить в условиях конкуренции с крупными компаниями, такими как OpenAI и Google. Многие инициативы закрываются из-за недостаточного финансирования, технических проблем или низкого…
Hello everyone. In this episode, the most important and latest news about artificial intelligence and technology. An Anthropic experiment showed the frightening potential of recursive self-improvement, and the agents went beyond their assigned tasks. The Alethea robot received…
В браузере запустили полноценного агента для программирования на модели всего с 2 млрд параметров..
Listen to the session or watch below Employees at the world’s leading AI labs are saying there’s a real possibility that advanced AI could destroy humanity. Are they right? Or is this more scaremongering and hype? Watch a conversation unpacking AI extinction fears: where they…
OpenAI, Anthropic и Google сотрудничают по вопросам безопасности ИИ в течение нескольких недель. Это сотрудничество стало результатом призыва CEO Anthropic к объединению отрасли для замедления разработки передового ИИ и снижения катастрофических рисков. Обсуждаются стандарты…
Основатели компании Artificial Intelligence Underwriting Company (AIUC) Рун Квист и Раджив Даттани разрабатывают решение для управления рисками, связанными с агентами ИИ в компаниях. Они создали стандарт AIUC-1 для аудита и сертификации агентов ИИ, что обеспечивает соответствие…
This is today’s edition of The Download, our weekday newsletter that provides a daily dose of what’s going on in the world of technology. The AI industry has taken a doomer turn. What now? AI chiefs Dario Amodei, Sam Altman, Elon Musk, and Demis Hassabis are suddenly all in…
Модели ИИ нуждаются в большем количестве данных о биологии, и OpenAI платит за их создание.
У Claude Code начинает появляться собственная экосистема модов.
Images can be watermarked for copy protection. Now, get this. Claude AI announced that they are watermarking the text you generate with it. From when? When does this start? Well, Anthropic is rolling this out right now. Yep. I am not talking about this because I agree with it,…
The article raises questions about the need for AI security measures amid recent events, including the resignation of a researcher from Anthropic and growing concerns about uncontrolled progress in AI. Anthropic CEO Dario Amodei proposes a three-step plan...
Инженер DeepSeek заявил, что не хочет, чтобы Anthropic получила контроль над AGI..
Web agents can utilize reusable tools to reduce the cost and latency of low-level browser interaction, but automatically discovered tool collections can be large, redundant, and poorly aligned with user demand. We present AutoTailor, a meta-agentic framework for constructing and…
In this work, we present ZGCM-1, a fully open 7B dense foundation model trained from scratch with extreme data, system, and algorithmic efficiency. ZGCM-1 is founded on a core premise: compact models cannot passively memorize the open web, but can overcome parametric capacity…
LLM judges are increasingly used to evaluate and improve AI-generated outputs, yet their reliability for complex professional work remains unclear. We study this problem through Vibe Patenting, an end-to-end patent-drafting testbed for AI-agent evaluation. A separately-invoked…
Voice agents often need to collect names, addresses, identifiers, dates, and times exactly, yet end-to-end benchmarks obscure where capture fails. We introduce $τ$-Elicitation, a 200-task voice benchmark spanning 10 entity types, controlled difficulty, caller realisms, and three…
Persistent agents need evaluations that distinguish identity facts they can recall from those they express and enact. We introduce PAI-Bench, a provider-neutral benchmark for fidelity to a versioned, update-governed identity contract. It separates recall, composition, behavioral…
Industrial maintenance systems involve multiple interacting assets and shared resources, making it challenging to balance reliability and operational cost using a single decision framework. While recent work has focused on reinforcement learning (RL) for maintenance scheduling,…
Multi-objective Bayesian optimisation (MOBO) is a sample-efficient approach for optimising expensive black-box functions with multiple objectives. In MOBO, the goal is to adequately approximate the Pareto front; that is, to obtain a high-quality solution set with 1) good…
The increasing deployment of AI agents in long-horizon tasks yields massive execution logs. Diagnosing failures within these records is crucial for reliability, as it transforms outcome-level signals into actionable interventions. The sheer scale of the data renders human review…
Molecular design is most effective when generation mirrors the edits chemists actually make: extending a scaffold, replacing a substituent, or decorating a scaffold at a specified attachment site while optimizing molecular properties. Fragment-based molecular design naturally…
Enterprise AI adoption has reached 78% of organizations globally, yet the infrastructure to govern that adoption has not kept pace. This paper identifies and characterizes the attestation deficit, a structural condition in which organizations maintain governance policies but…
When we speak of recursive self-improvement (RSI), are we speaking of a phenomenon, a mechanism, or a prospect? Towards autonomous and evolving intelligence, RSI is being claimed at many scales, while no single framework that formally describes these emerging instances exists.…
Existing pipelines for clinical timeline extraction from case reports are evaluated using an expert reference and are limited by imperfect reference annotations and imprecise event alignment. We developed GAVEL, an LLM judge protocol that compares two timelines with the case…
Timeseries multimodal large language models (TS-MLLMs) have recently begun leveraging the reasoning capabilities of large language models (LLMs) for question-answering tasks. However, these models often fail to capture dynamic temporal patterns, providing only implicit reasoning…