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Зерттеулер1 мин

Whose Memory Is It? Scope-Aware Commit Rules for Long-Term LLM Memory

Persistent memory allows an LLM agent to carry experience across conversations, but it also turns a local reasoning mistake into a durable one. During deliberation, an agent may consider a plan, simulate a tool result, report another speaker's belief, and then reject all of…

arXiv — cs.AI
Зерттеулер1 мин

Learning to Report Unsafe Tasks in a Multi-Agent Game

When agents share a reward for completed tasks, reporting unsafe work can reduce the reporter's reward by stopping a task. Audits can make reporting optimal without ensuring that further training teaches a silent team to report. We study this learning problem in a game where any…

arXiv — cs.AI
Зерттеулер1 мин

How Could AI Eliminate Humanity? A Failure-Mode Analysis of Civilizational Risk

This article develops a failure-mode framework for analyzing how advanced artificial intelligence could contribute to human extinction, irreversible civilizational collapse, or permanent human disempowerment. The central thesis is that catastrophic AI risk does not require…

arXiv — cs.AI
Зерттеулер1 мин

An Empirical Study of Agent Skills' Downstream Utility

Agent Skills package procedural guidance and resources for reuse, but a relevant Skill does not necessarily improve task performance. Existing studies characterize Skill content and evaluate downstream performance, yet provide limited explanations of how utility depends on…

arXiv — cs.AI
Зерттеулер1 мин

Humanize: Judgement Engineering for Agentic Coding

Agentic coding makes code generation cheap, but reliable completion remains difficult: the agent that writes the code is a weak judge of whether it is done. We present Humanize, a multi-agent orchestration workflow for agentic coding built around judgement engineering: explicit,…

arXiv — cs.AI
Зерттеулер1 мин

Enabling Dynamic Computation in Looped LMs

Looped LMs are parameter efficient and promise dynamic computation (saving memory and FLOPs on easy tokens). However, state-of-the-art open Looped LMs trained with this dynamic computation capability (Ouro models) do not realize it in practice as each loop iteration (depth)…

arXiv — cs.AI
Зерттеулер1 мин

Agent Plasticity: Measuring Self-Improvement Through Experience

AI agents increasingly operate in environments where they can diagnose failures and improve through experience, yet existing evaluations largely measure what an agent can do at a fixed point in time rather than how effectively it learns. Evaluating self-improvement requires…

arXiv — cs.AI
Зерттеулер1 мин

Anthropic выкатила Haiku 5.5: модель примерно на 75% дешевле Haiku 4.5 и обходит GPT-6 Luna.

Anthropic выкатила Haiku 5.5: модель примерно на 75% дешевле Haiku 4.5 и обходит GPT-6 Luna. Быстрее и умнее Haiku 4.5 Настраиваемая глубина рассуждений Создана для быстрых задач и работы в качестве субагента Для запросов до 100 тысяч токенов цена такая же, как у Luna, но по…

Telegram — Вайб-кодинг
Зерттеулер1 мин

How OpenAI Puts ChatGPT to Work | DevDay 2026

Привет. Спасибо, что сегодня с нами. Меня зовут Ник. >> А я—Даниэль. >> Мы работаем в команде по взаимодействию с разработчиками здесь , в OpenAI. Позвольте начать с небольшого опроса в зале. Поднимите руку те, у кого начало дня выглядит так: почта пуста, в голове ясность, и вы…

YouTube — OpenAI Official
Зерттеулер1 мин

Claude Haiku 5.5 Amazon Bedrock-да ұсынылды

Claude Haiku 5.5-тің Amazon Bedrock-да жаңа мүмкіндіктерімен қолжетімділігі хабарланды

SMNTCN (Semanticon) — глобальные новости ИИ
Зерттеулер1 мин

It appears .agent and .agi are about to be the hot new domains

What’s in a URL anymore, really. For the first time in years, the Internet Corporation for Assigned Names and Numbers - better known as ICANN - is accepting applications for new top-level domains. These are the suffixes at the end of all URLs, and you may know them as things…

The Verge — AI
Зерттеулер1 мин

Anthropic представила Claude Haiku 5.5

⚡ Anthropic представила Claude Haiku 5.5 Claude Haiku 5.5 — самая быстрая и доступная модель в линейке Claude 5.5. Она рассчитана на задачи, где важны скорость, низкая стоимость и масштабирование: массовая обработка запросов, классификация, автоматизация, простые агенты и…

Telegram — AI Machine Learning Big Data
Зерттеулер1 мин

Google выпустила Nano Banana 2.1

🍌 Google выпустила Nano Banana 2.1 Новая версия стала аккуратнее редактировать отдельные области изображения, лучше сохранять мелкие детали после нескольких изменений и стабильнее работать со сценами, где сразу несколько персонажей. Также улучшили текст и инфографику, добавили…

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