Research1 мин
NVIDIA расширяет открытые модели для языков и робототехники в Европе
NVIDIA расширяет открытые модели для языков, робототехники и биологии.
SMNTCN (Semanticon) — глобальные новости ИИ
Publication Catalog
All stories
All published intelligence, sovereign stack research, ecosystem news, and AI foundation model reviews.
2515
Stories
Research1 мин
OpenAI выложила бенчмарк MultiLangBench и проверила GPT-6 на редких языках
📌 OpenAI выложила бенчмарк MultiLangBench и проверила GPT-6 на редких языках Набор проверяет, как модели пишут большой проект на 20 языках, включая COBOL, Fortran, OCaml и Visual Basic. По ним в сети на порядки меньше кода и документации, чем по Python или JavaScript, хотя, по…
Telegram — AI Machine Learning Big Data
Policy & regulation1 мин
Anthropic предложила блокировать ИИ-модели, если они могут привести к гибели 50 человек
⚖️ Anthropic предложила блокировать ИИ-модели, если они могут привести к гибели 50 человек По данным Politico, компания подготовила законопроект, который позволит через суд останавливать выпуск потенциально опасных нейросетей. Основанием станет непосредственная угроза гибели…
Telegram — GPT Time | Нейросети | ИИ
Research1 мин
LLM умеют генерировать тексты, отвечать на вопросы и работать с документами. Но чтобы использовать их в реальных з...
🦾 LLM умеют генерировать тексты, отвечать на вопросы и работать с документами. Но чтобы использовать их в реальных задачах, важно понимать, как модели принимают решения и почему иногда дают неожиданный результат. 🚀 На открытом уроке разберём, как устроены большие языковые…
Telegram — AI Machine Learning Big Data
Research1 мин
Claude Science tackles deadly scorpion stings by designing protein binders from scratch
Anthropic's Claude independently designed protein binders targeting deadly scorpion neurotoxins. Out of more than 318,000 designs, 211 were tested in the lab. Seventeen met the criteria, and the two strongest bind extremely tightly to Cn2, a toxin from a Mexican scorpion.…
The Decoder
Startups1 мин
OpenAI acquires Orchestra Bio to build AI agents that speed up drug development
OpenAI is acquiring startup Orchestra Bio and plans to merge it with its life sciences AI platform Rosalind. The goal is to build AI agents that help pharma teams coordinate drug development, from tracking trials to spotting problems. Developing a new drug in the US takes ten to…
The Decoder
Research1 мин
OpenAI's AI agents were shutting down the systems that were supposed to control their behavior.
😮 OpenAI's AI agents disabled systems that were supposed to control their behavior OpenAI reported two cases in which its AI agents weakened or disabled security mechanisms during internal programming tasks. What happened? • October 3: Agent GPT-6.1 Sol...
Telegram — BlueScreen.kz
Research1 мин
ЖИ Ұлыбританияның 461 жылдық теңіз саудасының тарихын қалпына келтірді
Саутгемптон университетінің зерттеушілері жасанды интеллект көмегімен Ұлыбританияның 461 жылдық теңіз саудасына қатысты тарихи деректерді талдады. Жоба аясында нейрожелі шамамен 100 мың бет қолжазбаны оқып, бұрын зерттеу үшін жылдар қажет етуі мүмкін мәліметтерді жүйелеуге…
Tech-news.kz
Research1 мин
Теперь в API OpenAI можно кэшировать промпты на срок до 12 часов, а для авторизованных пользователей Codex и Work кэш...
Теперь в API OpenAI можно кэшировать промпты на срок до 12 часов, а для авторизованных пользователей Codex и Work кэш хранится бессрочно. Это означает, что даже спустя несколько часов можно вернуться к старой задаче и продолжить работу с гарантированным попаданием в кэш. Меньше…
Telegram — Вайб-кодинг
Research1 мин
Did Google just dethrone OpenAI and Anthropic?
Last week, gas changed the world forever. Twice a Tesla finally unveiled the Roadster and its ability to fly by farting cold gas. But while Elon was busy pulling off his greatest magic trick, Google was cooking up a noble gas of its own, Gemini 4 Argon, which is the most…
YouTube — Fireship AI
Research1 мин
Al-Farabi Kazakh National University Opens Laboratory of Intelligent Computing
Its activities will contribute to the training of engineering and technical personnel and the development of scientific solutions for the region's digital transformation.
Profit.kz — тег «Искусственный интеллект»
Startups1 мин
Kazakh Higgsfield beats HeyGen and Runway in the ranking of AI video generators
Kazakh Higgsfield beats HeyGen and Runway in the ranking of AI video generators DigitalBusiness.kz
DigitalBusiness.kz
Research1 мин
Build a Better Shopping Experience with OpenAI | Shopping Agent Demo
I've logged into Vasper and Alder, a fictitious homegoods app. I'm going to use their shopping agent to restyle my room. Let's give this a shot. I'm hosting some people for the holidays. And could you give me some ideas to make this corner of my room warmer? I'm thinking a…
YouTube — OpenAI Official
Research1 мин
OpenAI reported that approximately 40,000 Codex accounts had usage limits set incorrectly, causing...
OpenAI reported that approximately 40,000 Codex accounts had usage limits set incorrectly, causing credits to be used up faster than expected. The problem has already been fixed, and affected users will receive compensation. Free loans from $500 to...
Telegram — Вайб-кодинг
Research1 мин
Anthropic recorded a loss of $80.7 billion for six months
🔽 Anthropic recorded a loss of $80.7 billion for six months The company recorded a net loss of $80.7 billion for the first half of 2026. A year earlier, for the same period, it amounted to $13 billion. This is reported by The Wall Street Journal with reference to the company’s draft documents...
Telegram — BlueScreen.kz
Research1 мин
DataPraxis: Scaling Analytics Tasks via Verified Workspace Evolution
arXiv:2610.26924v1 Announce Type: new Abstract: General-purpose agents are increasingly expected to perform professional analytics work, which requires sustained reasoning, iterative investigation, and reliable evidence. Training these capabilities requires diverse and…
arXiv — cs.AI
Research1 мин
Teaching AI Agent to Play Poker Strategically Through Preference Optimization
arXiv:2610.27028v1 Announce Type: new Abstract: A poker agent can make a legal move and still make a strategically poor one. We ask whether compact AI agents can exhibit strategic behavior under hidden information and whether preference optimization can improve beyond static and…
arXiv — cs.AI
Research1 мин
A general-purpose System One decision model for clinical records
arXiv:2610.27099v1 Announce Type: new Abstract: Clinical care, health-system operations and biomedical discovery depend on extracting reliable answers from patient records, yet applying diverse clinical questions across entire populations remains computationally expensive. Here…
arXiv — cs.AI
Research1 мин
Does Multi-Agent Collaboration Reduce Hallucination in Clinical Tasks?
arXiv:2610.27027v1 Announce Type: new Abstract: Multi-agent LLM systems improve performance on clinical tasks, and that improvement is often read as evidence of a more trustworthy system. However, the two are not the same claim. A clinician acts on the stated reasoning and not…
arXiv — cs.AI
Research1 мин
LightCRS: Lightweight Multi-Domain Conversational Recommendation System
arXiv:2610.26948v1 Announce Type: new Abstract: Conversational recommender systems have recently adopted vision-language models to match user dialogue intents with multimodal product information. However, extending these methods to many product domains faces a dilemma: deploying…
arXiv — cs.AI
Research1 мин
Physical AI: Concepts, Techniques, and Challenges
arXiv:2610.27045v1 Announce Type: new Abstract: In recent years, physical artificial intelligence (physical AI) has experienced rapid development, capturing significant attention in academia and industry. However, the field has yet to reach consensus on its definition, technical…
arXiv — cs.AI
Research1 мин
SPEM: Structure-Aware Procedural Memory for Efficient Skill Use in LLM Agents
arXiv:2610.26995v1 Announce Type: new Abstract: LLM-based agents increasingly rely on reusable skills. However, scaling skill libraries makes efficient and accurate skill use difficult. Full skill loading incurs high token and runtime overhead. In contrast, flat semantic…
arXiv — cs.AI
Research1 мин
EDMA: Entropy-Driven Multimodal Answering
arXiv:2610.27120v1 Announce Type: new Abstract: Multimodal question answering (MMQA) is based on integrating heterogeneous data sources, selectively leveraging relevant modalities, and ignoring distractors. Existing approaches based on Multimodal Large Language Models (MLLMs)…
arXiv — cs.AI
Research1 мин
Omni-Woodpecker: Hallucination Correction via Evidence-Prior Rebalancing for Omni LLMs
arXiv:2610.27103v1 Announce Type: new Abstract: Recent Omni LLMs (OLLMs) have demonstrated remarkable capabilities in joint audio-visual reasoning, yet cross-modal hallucinations remain a major challenge. Existing mitigation methods mainly operate at the output level,…
arXiv — cs.AI
Research1 мин
Industrial Agentic AI: LLM-Driven New-Generation Agents for Smart Manufacturing
arXiv:2610.26941v1 Announce Type: new Abstract: Large language models (LLMs) are enabling agents to move beyond predefined workflows toward autonomous planning and execution, creating new opportunities for smart manufacturing. However, dynamic environments, complex physical…
arXiv — cs.AI
Research1 мин
LSA-PAST: Layer-Specific Adaptation and Prototype Transport for Compositional Incremental Learning
arXiv:2610.27203v1 Announce Type: new Abstract: Class-Incremental Learning (CIL) enables models to recognize new classes over time while retaining prior knowledge, but many real-world problems are compositional, where visual concepts arise from combinations of primitives such as…
arXiv — cs.AI
Research1 мин
PORA: Learning When More Reasoning Pays Off for LLM Agents
arXiv:2610.27119v1 Announce Type: new Abstract: LLM agents perform tasks over multiple steps and revise their actions based on feedback. As the total reasoning budget is often limited and must support future steps, the agent must choose between short and long reasoning before…
arXiv — cs.AI
Research1 мин
Learned Control Variates for Rare Grid-Outage Estimation at Electric Vehicle Charging Stations
arXiv:2610.27159v1 Announce Type: new Abstract: Public charging of electric vehicles (EVs) adds a large and synchronized load to the distribution feeders. In most networks, it is rare to overload a feeder at the same time. When it does happen, the consequences can be severe: an…
arXiv — cs.AI
Research1 мин
Pareto-Optimal RTL Code Generation via Multi-Objective Reinforcement Learning with Large Language Models
arXiv:2610.26904v1 Announce Type: new Abstract: Recent studies have proposed reinforcement learning with verifiable rewards (RLVR) methods that enable LLMs to generate high-quality RTL circuits from natural-language specifications. Existing approaches optimize circuit PPA…
arXiv — cs.AI
Research1 мин
ReuF2F: Benchmarking Coding Agents on Formalized Undergraduate Research Problems
arXiv:2610.27046v1 Announce Type: new Abstract: As AI systems begin to resolve open research problems, reliable verification becomes increasingly important. Formal mathematics provides a trusted framework for mathematical reasoning, enabling agents to produce machine-checkable…
arXiv — cs.AI