All published intelligence, sovereign stack research, ecosystem news, and AI foundation model reviews.
Learn how OpenAI evolved Habitat from a Python library into a globally distributed storage platform serving 1 billion ChatGPT users and 22M requests per second.
A combination of rapid advances, recursive self-improvement, and agentic swarms are genuinely “spooking people” inside big labs.
Anthropic опубликовала свой самый подробный отчёт о том, как Claude пытались использовать для кибератак, слежки и создания оружия. В этом отчёте есть отдельный кейс про китайскую схему с романтическим мошенничеством. Кейс называется GTG-15001. Речь о китайской команде, которая…
Training Agents, Session 4: from reward functions to environments. In this live session, the reward stops being a function and becomes a place the agent acts in. In Session 3 the model answered once and a Python function scored it. Today the model runs a loop: open a file, run a…
AI leaders worry antitrust law could stand in the way of what they view as an increasingly urgent push to coordinate a slowdown in AI development.
Nvidia has its finger in every pie, and sees another year of plenty in its future, Jensen Huang says. But, he insists, its deals are not circular.
The company said Pro subscriptions put the most strain on its systems, so it's pausing sign-ups while adding more capacity.
A new report released Thursday by Anthropic alleges persistent distillation attacks by China-based AI companies, which have escalated in recent months as competition in the space has intensified.
This week on “Uncanny Valley,” we dig into a former Anthropic researcher’s AI doomsday warning, the latest upgrades from Apple’s event, and the census report that claimed Trump won the 2020 election.
The Agents API brings a hosted version of the Codex harness to your applications. See how to build an agent that investigates production incidents, connects to tools through MCP, follows a runbook, and delivers a shareable report with evidence and suggested next steps. Learn…
Come inside the mind of a bot trying to convince the internet it's human.
Now everyone can put data to work. We’re introducing a new Data agent in ChatGPT Work so you can turn your company’s data into answers, interactive dashboards, and action—just by asking. Just add the Data Plugin in the ChatGPT Work, connect to the data sources and context you…
Sam Altman, chief executive officer of OpenAI, during a media tour of the Stargate AI data center. | Bloomberg via Getty Images Another researcher is challenging OpenAI about the data driving its increasingly impressive array of mathematical discoveries. Just days after a bitter…
I did not think I would live to see the day when this mathematical problem gets solved and I just did likely. So, I am kind of sitting here in disbelief. Something that nobody has ever been able to prove the Navier-Stokes existence and smoothness problem has been very likely…
Итак, нам нужно это обсудить. Буду с вами честен, я очень зол из -за всей этой ситуации. Сейчас расскажу почему. Это Джейкоб Коксон. Он уволился из Anthropic, заявив, что ни OpenAI, ни Anthropic не понимают, что делают. Они играют с нашими жизнями, и ИИ может погубить нас всех к…
OpenAI and GSA will offer eligible federal, state, local, and tribal governments $0 license fees, 50% off usage, and expanded cyber defense support.
Introducing ChatGPT for Financial Services, combining built-in financial data and GPT-6 Astra for research, modeling, and client-ready materials.
arXiv:2609.09233v1 Announce Type: new Abstract: How can language model agents effectively leverage libraries of reusable knowledge to solve long-horizon tasks? Recent work has increasingly focused on agent skills: reusable capabilities represented as skill packages, i.e.,…
arXiv:2609.09647v1 Announce Type: new Abstract: Agentic systems are rapidly moving to production, where they read untrusted inputs, call tools with real permissions, and act autonomously, expanding the security surface beyond chat-only models. Yet standard evaluations remain…
arXiv:2609.09735v1 Announce Type: new Abstract: Healthcare systems, mental health, and public well-being are increasingly affected by cyberbullying and harmful online interactions. This paper presents CareGuard, an early-warning framework designed to support healthcare-driven…
arXiv:2609.09448v1 Announce Type: new Abstract: As agentic systems getting adopted rapidly in safety critical applications, it is vital to measure the confidence associated with the agentic actions. In comparison to the traditional machine learning systems, agentic workflows…
arXiv:2609.09226v1 Announce Type: new Abstract: We introduce a probability-wave framework for modeling the collective behavior of interacting adaptive agents, deriving testable eigenmodes through a generalized behavioral intelligence (GBI) nonlocal probability-wave equation.…
arXiv:2609.09707v1 Announce Type: new Abstract: Supervised fine-tuning (SFT) applies a uniform cross-entropy loss to all target tokens, even though different tokens provide unequal learning signals for mathematical reasoning. This uniform treatment can over-sharpen already…
arXiv:2609.09678v1 Announce Type: new Abstract: Clinical diagnosis agents must decide not only what test to request next, but also when to diagnose or defer. Existing agent benchmarks largely evaluate accuracy after fixed or unconstrained interaction, leaving autonomous stopping…
arXiv:2609.09627v1 Announce Type: new Abstract: Capabilities relevant to Physical AI can arise from materially different formation histories, yet existing taxonomies organized by morphology, architecture, learning algorithm, task, or domain do not directly answer what gives rise…
arXiv:2609.09413v1 Announce Type: new Abstract: Choosing a recovery process for scale-up requires connecting laboratory results with product requirements, process costs, and scale effects. We analyze records from Pacific Northwest National Laboratory's Computer Intelligence for…
arXiv:2609.09702v1 Announce Type: new Abstract: Candidate decision correctness and rationale grounding are different objectives. We examine correctness-gated multi-teacher distillation in a fixed experiment. Eight arms share 4,330 sources, a 63.9M-parameter student, 12,990…
arXiv:2609.09625v1 Announce Type: new Abstract: As Digital Twin (DT) systems evolve beyond state synchronization toward task-oriented and knowledge-driven operation, Cognitive Digital Twins (CDTs) have emerged as an extension that incorporates cognitive capabilities into twin…
arXiv:2609.09589v1 Announce Type: new Abstract: Deep neural networks exhibit regular macroscopic behavior despite highly nonlinear dynamics in vast parameter spaces. We develop a statistical-mechanical description of learning directly in function space, treating parameter…
arXiv:2609.09754v1 Announce Type: new Abstract: As large language models are increasingly deployed as tool-augmented legal agents, they introduce agentic hallucinations where tool-call and reasoning errors cascade into fabricated holdings and miscited authority. However,…