All published intelligence, sovereign stack research, ecosystem news, and AI foundation model reviews.
arXiv:2609.28547v1 Announce Type: new Abstract: Policy interventions propagate through public communication, institutional decisions, and stakeholder responses, yet datasets for financial multi-agent simulation rarely connect these processes to temporally aligned historical…
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: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: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: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: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:2609.28609v1 Announce Type: new Abstract: Role-playing agents based on large language models have been widely applied in areas such as personalized assistance and social simulation. Recent RL methods typically train on a fixed scenario pool collected before 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: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: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:2609.28942v1 Announce Type: new Abstract: Personalized value alignment has become increasingly important as large language models (LLMs) are expected to accommodate diverse user preferences. However, existing methods typically align model outputs with a static value…
arXiv:2609.28850v1 Announce Type: new Abstract: Reproducing a machine learning paper involves most research steps, from installing software and debugging to running experiments, work that AI agents increasingly do. We introduce RECLAIM, a benchmark of 100 NeurIPS 2025 papers…
arXiv:2609.29015v1 Announce Type: new Abstract: Decentralized LLM-based multi-agent systems coordinate through local interactions, but an agent can remain responsive while its task-solving quality persistently degrades. Such gray failures require protecting current tasks before…
arXiv:2609.28765v1 Announce Type: new Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) performs well on problems with clear rewards, such as mathematics and coding, but whether it also works where the reward is less clear remains open. The reason-over-search…
Wayfair uses OpenAI models to improve ecommerce support and product catalog accuracy, automating ticket triage and enhancing millions of product attributes at scale.
AI-режиссер видео обеспечивает визуальную непрерывность в длинных нарративах.
BottleCap AI выпустила ThinkingCap-Qwen3.8-27B с меньшими затратами токенов, но с незначительным снижением точности.
PrismML разработала компактные языковые модели для смарт-очков Qualcomm.
Prism's larger goal is open-weight AI that runs on devices and makes better use of the computing power they already have.
WhisperX от AWS предлагает улучшенную транскрипцию речи с метками спикеров и точными временными метками.
The notice would allow Oracle to delay payments should the facility miss its 2028 target to come online.
ИИ начали проверять на реалистичных разговорах о психическом здоровье — появился новый открытый бенчмарк MentalHea....
😬 Даже люди, которые пользуются ИИ каждый день, всё равно его опасаются — особенно в США Новое исследование Gallup показало необычный парадокс: 68% американцев, ежедневно использующих ИИ, испытывают беспокойство из-за технологии. Среди всех опрошенных американцев этот…
TechCrunch Founder Summit is a full-day gathering in Boston on November 4 where founders across all stages connect with top VCs and experienced entrepreneurs to gain tactical insights on building and scaling their companies.
Hello everyone. This episode features the most important and latest news about artificial intelligence and technology. GLT OPUS 5.5 has reached a new level. The model outperforms Fable 5.1 and is already competitive with GPT6 Astra in some tests. OpenI and Antropic discussed an…
— радуемся и гордимся за наших слонов! Погнали 🥳 🏆 3-е место, золотая медаль и 8000$ призовых на международных соревнованиях по Kaggle Это все забрал Максим Хандусь, студент 1 курса Хаба, вместе с руководителем направления по разработке нейронных сетей в Альфа банке Ильей…
Российский стартап Kodacode обогнал Claude Code в бенчмарке харнессов для DeepSeek.
🌟 Nvidia открыла веса модели для разметки спикеров в аудио Nemotron 3 Diarization – открытая модель диаризации на 100 млн параметров, которая работает на аудиозаписях и в потоковом режиме, размечая на записи отрезки речи каждого участника, включая моменты, когда люди перебивают…
Австралийский премьер-министр сообщил о взломе сайта правительством OpenAI и начал расследование.