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8899
Stories
Исследования1 мин

Teaching Agents to Code Reliably

Autonomous coding agents solve repository issues by reading code, running commands, editing files, and submitting patches. Extra inference-time compute yields gains only when it produces a useful repair and supplies reliable evidence for choosing one. Three behaviors decide…

arXiv — cs.AI
Исследования1 мин

Exploration-Preserving Policy Optimization

Reinforcement learning with verifiable rewards improves reasoning, while the allocation of learning signal shapes which solutions remain accessible under repeated sampling. Group-relative objectives assign equal advantages to equally rewarded responses, making aggregate credit…

arXiv — cs.AI
Исследования1 мин

Training Numerical Intelligence via Auto-Diagnosis and Skill Discovery

AI agents are becoming increasingly capable of generating scientific code, but generating code is not the same as improving the algorithms behind it. For numerical solvers, execution feedback can expose poor performance, but rarely reveals its underlying cause and how to address…

arXiv — cs.AI
Исследования1 мин

Reinforcement Learning with Comparative Evidence for Social Intelligence

Developing socially intelligent AI remains heavily dependent on human-annotated data, limiting the scale and breadth of social understanding models can acquire. Methods that derive training signals from unlabeled data offer a path beyond this dependence, but social predictions…

arXiv — cs.AI
Исследования1 мин

The Cost of a Hop: Benchmarking NLIP and A2A

Autonomous agents built on Large Language Models (LLMs) need standardized protocols to interoperate across systems. Several now exist (A2A, MCP, ACP, ANP, NLIP), but the Natural Language Interaction Protocol (NLIP) has not appeared in any controlled performance study, and no…

arXiv — cs.AI
Исследования1 мин

Discrete Diffusion for Large Graph Generation via Structural Candidate Restriction

Synthesizing realistic graphs at scale is vital when the graphs of interest are large and real-world samples are limited or access-sensitive. Diffusion-based generators have recently driven much of the progress, offering high modeling capacity, but most such methods have…

arXiv — cs.AI
Исследования1 мин

Towards Safer Autonomous Driving in an Open World: A Dual-Process Approach

Before autonomous driving systems can be deployed on public roads, it is vital that these systems comply with safety standards, traffic rules, and social norms. Although neural networks trained on large amounts of driving data perform well in routine driving tasks, these models…

arXiv — cs.AI
Исследования1 мин

CUAWright: A Minimal Unified Interface for Digital Agents

The prevailing approach to computer-use agents couples a model with a domain-specific harness: a browser or desktop environment equipped with human engineered tools that are fixed before task execution. As models' coding capabilities improve, the GUI native and static harness…

arXiv — cs.AI
Исследования1 мин

InvestigationWorlds: An Agentic Environment for Legal Investigation

We introduce InvestigationWorlds, an agentic environment for legal investigation. We build on an underused artifact of U.S. civil litigation: the summary judgment motion. This motion relies upon a record composed of real evidence exhibits, and results in a court-adopted…

arXiv — cs.AI
Исследования1 мин

The Independence Prior of SAEs Fragments Visual Concepts

Sparse Autoencoders (SAEs) decompose model activations into sparse combinations of interpretable dictionary atoms. Although SAEs are grounded in the Linear Representation Hypothesis (LRH), their objective smuggles in an additional prior: concepts across patches are treated as…

arXiv — cs.AI
Политика и регулирование1 мин

В Министерстве транспорта обсудили развитие цифровых технологий и ИИ в транспортной сфере

Вице-министр транспорта встретился с председателем Департамента здравоохранения Абу-Даби, генеральным директором G42 International.

Profit.kz — ИТ в Казахстане
Исследования1 мин

Ornith 1.5 35b-a3b | Достойная повседневная модель

Привет. И сегодня у меня наконец-таки спустя, наверное, почти месяц, если не больше, модель полтора 35 би. Когда я снял видос про девятимиллиардную версию этой модели, я тогда офигевал от того, что она может, учитывая её размер, учитывая, где её можно запустить и что я с ней мог…

YouTube — Amorev
База знаний1 мин

Building a custom website to stay on top of business with ChatGPT

This furniture shop is popular. So popular that it's tough to keep track of all of the inbound requests. ChatGPT can fix that. Victor Nunez Rodriguez visited Philadelphia Table Company in Philly to help him build a tool to stay on top of it all. Do you have something you wish…

YouTube — OpenAI Official
Исследования1 мин

ChatGPT 将开始用不可见水印标记文本

OpenAI 将在未来几周内开始在欧盟的 ChatGPT 和 Codex 文本回复中添加不可见水印。该标记将有助于判断文本是否使用了该公司的工具生成,OpenAI 在声明中表示。第一阶段将涉及……

Kursiv Media Tech
Общее1 мин

Gemini Call for Me 可能会告诉你妈妈你要迟到了

Google 可能会将其「Call for Me」AI 功能扩展到商务通话之外,以便您用它向朋友和家人发送消息。Android Authority 报道称,在 APK 拆解中发现了「Gemini Calling」介绍屏幕,示例包括「给妈妈打电话告诉她我……

The Verge — AI
Исследования1 мин

MCP for agent-to-agent comms may be the riskiest protocol you've never heard of

The adoption of AI agents in millions of organizations is creating new opportunities for attackers to make them take malicious actions, such as exfiltrating database contents and sensitive business and personal information. In the past five months, Google and four other…

Ars Technica — AI
Общее1 мин

OneCanvas

OneCanvas Этот инструмент может разобраться в трёхмерном пространстве по одному изображению. Он называется OneCanvas. Работа о нём вошла в категорию Spotlight на NeurIPS 2026, а код и модель доступны публично. OneCanvas объединяет кадры видео комнаты в одну панораму, чтобы…

GitHub Разработчика
Общее1 мин

Ещё один гуманоид вышел на работу — теперь роботы добрались до отелей

🤖 Ещё один гуманоид вышел на работу — теперь роботы добрались до отелей В китайском Langham Hotel в Гуанчжоу появился колёсный гуманоид S2 (Xiaozhi) от AutoLife. Его привлекли накануне осенней Кантонской ярмарки, когда нагрузка на персонал особенно высокая. Робот умеет…

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