Research1 мин
Appeals Court Lets the Pentagon Designate Anthropic a Supply-Chain Risk
The AI lab had argued multiple violations of its rights, but a divided panel of judges sided with the Trump administration.
Wired — Artificial Intelligence
Publication Catalog
All stories
All published intelligence, sovereign stack research, ecosystem news, and AI foundation model reviews.
2679
Stories
Research1 мин
Meta’s AI Tamagotchi bet is…working?
When AI leaders at OpenAI and Anthropic started talking about “pacing the frontier,” maybe someone should have asked: what pace? Now it’s turned into model drop week for both companies as Anthropic rolled out Opus 5.5, followed by OpenAI’s…
TechCrunch — AI
Research1 мин
Anthropic’s founders seek voting control ahead of IPO
Anthropic is asking its shareholders to approve a structure that would give its seven co-founders a combined 50.1% of the vote on most corporate matters.
TechCrunch — AI
Startups1 мин
One company is at the center of a wave of rogue AI attacks
In July, OpenAI revealed that its AI agents had attacked Hugging Face without permission, sparking widespread concerns about AI safety. Since then, a string of similar incidents involving agents from Meta, Anthropic, Google, and other companies has fueled further fears about…
The Verge — AI
Research1 мин
THE END IS NEAR... and more AI doom
It's an absolutely insane week in AI news. There are massive amounts of AI models being released, one better than the other. And if you're wondering if AI agents hacked anybody else, they did. This week, it's the Australian government. I'm not even kidding. OpenAI agent hacked…
YouTube — Wes Roth
Policy & regulation1 мин
Появилось открытое сообщество для решения NetHack
Появилось открытое сообщество для решения NetHack.
Telegram — AI Machine Learning Big Data
Policy & regulation1 мин
UBTECH Алматыда робот техникасын шығаратын зауыт ашуды жоспарлап отыр
UBTECH Алматыда робот техникасын шығаратын зауыт ашуды жоспарлап отыр.
Tech-news.kz
Research1 мин
The Download: the Pentagon’s AI-powered lie detector and young organ limits
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 Pentagon wants $30 million to build an AI-powered lie detector The US government wants to spend $30.3 million over the next five years on…
MIT Technology Review
Research1 мин
OpenAI готовит подписку ChatGPT Pro Max
⚡️ OpenAI готовит подписку ChatGPT Pro Max Согласно утечкам из кодовой базы сервиса, в ближайшее время появится новый тарифный план ChatGPT Pro Max со стоимостью выше 200$. Шаг продиктован серьезным дефицитом мощностей после запуска GPT-6 Astra, которая потребляет вычислительные…
Telegram — AI Machine Learning Big Data
Research1 мин
AIJ Contest 2026: реши реальные задачи и получи возможность забрать свой кусок 10-миллионного призового фонда ⚡️
AIJ Contest 2026: реши реальные задачи и получи возможность забрать свой кусок 10-миллионного призового фонда ⚡️ Это состязание уровня high-stakes: солидный призовой фонд, только практические задачи от Sber AI и шанс задать вектор развития AI‑решений. 5 треков — 5 возможностей…
Telegram — AI Machine Learning Big Data
Research1 мин
The Pentagon wants $30 million to build an AI-powered lie detector
The Pentagon wants $30 million to build an AI-powered lie detector.
MIT Technology Review
Research1 мин
Claude обнаружил ранее неописанную ферментную систему с повторами ДНК, напоминающими CRISPR, сообщает Anthropic.
🧬 Claude обнаружил ранее неописанную ферментную систему с повторами ДНК, напоминающими CRISPR, сообщает Anthropic. Около 950 агентов работали 21 час и использовали 210 млн токенов. Они исследовали более 200 тысяч обратных транскриптаз - ферментов, копирующих РНК в ДНК, -…
Telegram — AI Machine Learning Big Data
Research1 мин
OpenAI предложила правила внешнего аудита безопасности своих моделей
✔️ OpenAI предложила правила внешнего аудита безопасности своих моделей Компания готова открывать независимым организациям данные об обучении, тестировании и развёртывании моделей, чтобы те проверяли её доказательства безопасности. Главный предмет проверки – кейсы безопасности,…
Telegram — AI Machine Learning Big Data
Research1 мин
Claude Opus 5.5 научился создавать картины без генератора изображений — он буквально рисует их кодом
Claude Opus 5.5 научился создавать картины без генератора изображений — он буквально рисует их кодом.
Telegram — GPT Time | Нейросети | ИИ
Startups1 мин
Lightspeed targets $250M for new India fund, focusing on early-stage AI
The Silicon Valley firm is aligning its India fundraising cycle with its global funds for the first time, as it shifts to a shorter investment period.
TechCrunch — AI
Research1 мин
Крупная утечка: ChatGPT может получить новый тариф Pro Max за $500 в месяц.
Крупная утечка: ChatGPT может получить новый тариф Pro Max за $500 в месяц. Пока это только внутренняя конфигурация, официального анонса нет, но цена уже прописана: > $500 в месяц до уплаты налогов, в регионах с НДС отображается около $600 > Название тарифа: Pro Max >…
Telegram — Вайб-кодинг
Research1 мин
When Should Forecasting Agents Reason? Behavioral Stress Tests for Reliability Routing
arXiv:2609.28475v1 Announce Type: new Abstract: Forecasting agents increasingly combine language-model reasoning, retrieval, ensembling, and calibration, but it remains unclear when each behavior should be trusted. We study this question on ForecastBench-style binary forecasting…
arXiv — cs.AI
Research1 мин
TWIST: A Proposed Benchmark for Intervention Quality in Conversational Memory, with a Human-Validated Draft-Alignment
arXiv:2609.28575v1 Announce Type: new Abstract: Long-conversation memory benchmarks increasingly test recall and prompted knowledge updates, and recent work studies evolving user beliefs and memory state. TWIST is a proposed benchmark suite for a complementary, unmeasured…
arXiv — cs.AI
Research1 мин
Control the Harness, Control the Cost: Routing and Governing AI Coding Agents in the Enterprise
arXiv:2609.28919v1 Announce Type: new Abstract: Harnesses, the products that run AI coding agents, are multiplying, and enterprises are rolling them out to their employees: what started as pilots with a few hundred seats is scaling to tens of thousands. Most enterprises do not…
arXiv — cs.AI
Research1 мин
Beyond Surface Style: Aligning Multi-Turn User Simulators with Behavioral Consistency
arXiv:2609.28690v1 Announce Type: new Abstract: Faithful user simulation is fundamental to building, evaluating, and improving interactive AI at scale. However, plausible individual responses do not ensure that simulated users reproduce the intent evolution and outcomes observed…
arXiv — cs.AI
Research1 мин
TW3Cast: A Frozen Router of Lightly Fine-Tuned Foundation Models for Time-Series Forecasting on GIFT-Eval, Selected Entirely on the Training Split
arXiv:2609.28506v1 Announce Type: new Abstract: TW3Cast is a time-series forecasting system that reaches position 3 of 130 entries on the GIFT-Eval benchmark by mean MASE rank, as of 2026-09-14. The two entries above it belong to the leaderboard's agentic category, multi-step…
arXiv — cs.AI
Research1 мин
Back to the Definition: Estimating Step-Level Advantages via Trajectory Graphs for Agentic Reinforcement Learning
arXiv:2609.28963v1 Announce Type: new Abstract: Group-based reinforcement learning (RL) methods, such as GRPO and its variants, have become a leading paradigm for training reasoning and agentic large language models (LLMs). While their group-normalized advantage estimation is…
arXiv — cs.AI
Research1 мин
Forecast-Dojo: Replayable Environments for Benchmarking and Training LLM Forecasting Agents
arXiv:2609.28876v1 Announce Type: new Abstract: We introduce Forecast-Dojo, a replayable environment for benchmarking and training LLM forecasting agents. It combines resolved prediction-market questions with dated news, allowing agents to research an event and revisit their…
arXiv — cs.AI
Research1 мин
When Does Action Credit Need Updating?
arXiv:2609.29007v1 Announce Type: new Abstract: Tool-using agents are continually updated with new interaction data. After each policy update, however, previously estimated action credits may become stale. Recomputing them from scratch can require many additional tool calls and…
arXiv — cs.AI
Research1 мин
BaseCamp --- An Agentic AI Framework for Automating DNA Sequencing Data Pipelines
arXiv:2609.28557v1 Announce Type: new Abstract: DNA sequencing pipelines, spanning quality control, alignment, variant calling, and annotation, are now reliably executed by workflow management systems that orchestrate established bioinformatics tools at scale. What remains…
arXiv — cs.AI
Research1 мин
Learned Cross-Task Relationships in Multi-Task Models
arXiv:2609.28776v1 Announce Type: new Abstract: We propose a framework that learns cross-task relationships in multi-task models by approximating the joint distribution of task labels through targeted pairwise relationships. This approach improves performance via transfer…
arXiv — cs.AI
Research1 мин
Human-AI-Powered Hypothesis Testing: Cost-Aware Selective AI Scoring and Sequential Human Escalation
arXiv:2609.28859v1 Announce Type: new Abstract: Large language models are increasingly used as inexpensive judges to evaluate outputs, label data, and assess whether a system meets a desired quality standard. Yet using AI judgments for formal statistical inference is…
arXiv — cs.AI
Research1 мин
Driving Epidemic Models with AI Agents: the Epydemix Agent Framework
arXiv:2609.28692v1 Announce Type: new Abstract: Artificial Intelligence agents based on large language models provide convenient natural language interfaces to scientific software, but reliability is not automatic. Here we introduce the Epydemix Agent Framework, an additive…
arXiv — cs.AI
Research1 мин
Pistis Technical Report
arXiv:2609.28554v1 Announce Type: new Abstract: We introduce the Pistis model family, comprising 27B- and 9B-parameter multimodal large language models built on Qwen3.6 and Qwen3.5, respectively, and developed through a general and scalable post-training framework. The framework…
arXiv — cs.AI
Research1 мин
Agent Memory with Episodic Retrieval for Financial Decision-Making
arXiv:2609.28771v1 Announce Type: new Abstract: Large language models (LLMs) have demonstrated strong capabilities in financial analysis and reasoning, inspiring recent advances in agent-based trading frameworks. While these systems show promise, prior approaches either…
arXiv — cs.AI