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All published intelligence, sovereign stack research, ecosystem news, and AI foundation model reviews.

2582
Stories
Исследования1 мин

SkillNEO: Non-Elitist Evolutionary Optimization of Agent Skills

arXiv:2610.20926v1 Announce Type: new Abstract: Agent skills turn procedural knowledge into reusable artifacts, allowing LLM agents to accumulate and refine expertise through experience. Building on this, skill evolution iteratively improves skills using execution feedback.…

arXiv — cs.AI
Исследования1 мин

The World Won't Wait: Evaluating and Teaching Agents Under a Live Clock

arXiv:2610.20665v1 Announce Type: new Abstract: Large language model (LLM) agents can solve complex interactive tasks, yet reasoning and tool calls take time. In continuously changing environments, an otherwise correct action may arrive too late. We introduce RealtimeBench, with…

arXiv — cs.AI
Исследования1 мин

LEV: Thinking Fast and Deep with Looped Decision Models

arXiv:2610.20951v1 Announce Type: new Abstract: Decision models answer typed questions about an input with one probability per option, computed in a single forward pass without generating text. Like the fast System 1 of dual-process theory, they answer at once, but their depth…

arXiv — cs.AI
Исследования1 мин

When Reality Outpaces Cognition: A New Scaling Principle for Reliable Intelligence

arXiv:2610.20764v1 Announce Type: new Abstract: This paper challenges the understanding capabilities of existing AI paradigms and emerging world models by asking a fundamental question: How quickly can reality change before an intelligent system can no longer reliably perceive,…

arXiv — cs.AI
Исследования1 мин

L2G-SR: Learning to Guide LLM-based Symbolic Regression

arXiv:2610.20685v1 Announce Type: new Abstract: Symbolic regression searches for an equation that explains observed data. Numerical error is commonly used to guide the search, but it alone can favor an accurate surrogate over a candidate with the right structure. We propose…

arXiv — cs.AI
Исследования1 мин

AlphaDiana: A Measurement System for Agents in Verifiable Reasoning Tasks

arXiv:2610.20675v1 Announce Type: new Abstract: Agents pair reasoning models with harnesses that organize model calls, execute tools, load skill instructions, and retain history in memory. Understanding agent performance requires linking execution conditions to outcomes,…

arXiv — cs.AI
Исследования1 мин

StepSafe: Learning Timely Intervention with Context-Aware Safety Reasoning

arXiv:2610.20960v1 Announce Type: new Abstract: Safety in agentic systems is inherently sequential: whether an action is safe depends on prior actions, tool outputs, information disclosures, and interactions among agents. Recent work has shifted agent safety guardrails from…

arXiv — cs.AI
Исследования1 мин

RAC: A Relational Agent Contract for Constraint-Governed Engineering Tasks

arXiv:2610.20935v1 Announce Type: new Abstract: Engineering agents must produce artifacts that satisfy exact, coupled constraints. Existing solutions often require agents to make semantic decisions and also derive consequences such as precise geometry or timing from those…

arXiv — cs.AI
Исследования1 мин

ChatGPT 现在可以查看 Chrome 标签页

ChatGPT 现在可以从打开的 Chrome 标签页中提取信息。

SMNTCN (Semanticon) — глобальные новости ИИ
Исследования1 мин

ChatGPT can peek at your Chrome tabs now

OpenAI's ChatGPT Atlas browser is gone, but now ChatGPT's Google Chrome extension is getting some upgrades that allow it to use the browser tabs you already have open. With the extension installed, OpenAI says ChatGPT can now view your browser tabs when you tag Chrome in…

The Verge — AI
Стартапы1 мин

OpenAI ведёт переговоры о покупке ИБ-компании Trail of Bits

✔️ OpenAI ведёт переговоры о покупке ИБ-компании Trail of Bits Обе компании уже работали вместе над проектом Patch the Planet, где модели OpenAI в связке с инструментами Trail of Bits автоматически искали и исправляли ошибки в открытом коде. Нью-йоркская Trail of Bits основана в…

Telegram — AI Machine Learning Big Data
Исследования1 мин

Gemini 4 Argon научила гуманоида играть в Корнхол, просто посмотрев видео

🤖 Gemini 4 Argon научила гуманоида играть в Корнхол, просто посмотрев видео Модель проанализировала движение, восстановила физику броска, сама написала симуляцию и обучила гуманоида Apollo от Apptronik. В результате робот смог попасть в цель 7 раз подряд. Argon также набрала…

Telegram — GPT Time | Нейросети | ИИ
Исследования1 мин

Trump posts AI-edited photo to brag about White House restoration work

President Donald Trump posted a series of photos on Truth Social showing off renovations to the White House - but one of them appears to be modified with AI. The picture, which compares an old White House column to a "restored" one, has several discrepancies and was flagged by…

The Verge — AI
Исследования1 мин

If you know PyTorch, you know Trainium.

AWS is bringing multiple sessions to in San Jose. AWS Trainium is an AI chip designed from the ground up for next generation deep learning AI training and inference, and now PyTorch runs natively on AWS Trainium -- zero code changes. Same APIs, same debugging, same ecosystem.…

YouTube — PyTorch Official
Исследования1 мин

Google wants Gemini 4 Argon to be the only AI model robots need

Google's Gemini 4 Argon controls robots, generates simulations from photos or sketches, and evaluates training videos. On Google's own ERQA benchmark, it scores 87 percent. But the published example prompts show that the demos still need a lot of human guidance. The article…

The Decoder