Smart portal about artificial intelligence and high technology in Kazakhstan
🔒 In ChatGPT you can hide conversations under a PIN code or Face ID OpenAI has begun to gradually launch the Locked Chats feature, which allows you to protect individual conversations in ChatGPT from strangers. Users can hide personal or confidential chats from regular history and...
Модели NVIDIA Earth-2 помогают прогнозировать погоду и климат в Европе.
NVIDIA внедряет открытые модели и физический интеллект в европейскую розницу.
Two schoolchildren from Almaty received silver at IRCYS 2026 in Bali. Their PlanLens system finds errors in the plans of AI agents.
📎 Claude now himself suggests what to do: Anthropic launched a proactive AI agent The company launched a test version of Claude Duet, a proactive AI agent based on the Claude Opus 5.5 model. Unlike a regular chatbot, it does not wait for constant commands, but independently...
Anthropic has introduced a new AI-agent called Claude Duet. It is designed to make everyday work easier for professionals and small business owners: they can schedule meetings, make financial forecasts and develop web applications, reports Tech-news. Claude Duet's main…
⚡️ Anthropic introduced Claude Duet, a personal AI agent that works without permanent commands. The new service is built on the basis of Claude Opus 5.5 and will become a competitor to Dots from OpenAI and Grok Bot. Duet runs in the cloud, uses a browser and connected applications, and performs...
Test drive in the rain and a course on artificial intelligence Kapital.kz
Anthropic decided to take on OpenAI Dots and Grok Bot by releasing Claude Duet based on the incredibly powerful Opus 5.5. • Available on Claude Pro plan (Dots requires ChatGPT Pro subscription for $100 per month). • Runs on Opus 5.5, which is called the best model in the world. • Has…
arXiv:2610.28815v1 Announce Type: new Abstract: Agentic harness evolution optimizes an agent's instructions, tools, and control flow by using its task execution experiences as evolving evidence. While more evolution tasks should intuitively improve performance, our preliminary…
arXiv:2610.28706v1 Announce Type: new Abstract: LLM-driven evolutionary search is a promising paradigm for scientific discovery, but existing methods remain costly and slow, often applying expensive reasoning uniformly while underusing evidence from failed, redundant, and…
arXiv:2610.28698v1 Announce Type: new Abstract: Scaling data, diversity and model capacity has improved embodied learning in physical environments, where diverse experiences remain grounded in shared physical laws. Whether these gains extend to virtual worlds with different…
arXiv:2610.28686v1 Announce Type: new Abstract: Query clarification is essential for retrieval-augmented generation (RAG) systems that face ambiguous user queries. We consider multi-turn grounded conversational scenarios where a user query is either ill-formed or ambiguous in…
arXiv:2610.28763v1 Announce Type: new Abstract: Frontier coding agents are increasingly framed as end-to-end automated researchers, and ML for science offers a demanding test of that promise: improving a scientific model often requires domain insight beyond routine ML…
arXiv:2610.28826v1 Announce Type: new Abstract: Automated judges of clinical artificial intelligence (AI) outputs are necessary, but large language model (LLM) judges are costly and slow at scale. We compared Jev, a decision language model that returns structured judgments, with…
arXiv:2610.28905v1 Announce Type: new Abstract: Diffusion language models form answers through a sequence of revisable continuous states, but multi-agent systems usually discard those states and make agents communicate only after decoding text. We ask whether one independent…
arXiv:2610.28909v1 Announce Type: new Abstract: Deep research systems iteratively plan, gather evidence, synthesize, and revise, making end-to-end latency a key bottleneck for interactive use. Almost all production systems are built on autoregressive (AR) language models and…
arXiv:2610.28912v1 Announce Type: new Abstract: This paper charts the evolution of the Prolog textbook Simply Logical -- Intelligent Reasoning by Example from print with runnable programmes on a 3.5-inch diskette published in 1994, via various intermediate online versions, to…
arXiv:2610.28934v1 Announce Type: new Abstract: Coding agents now complete tasks autonomously, modifying real-world state such as artifacts, software environments, and configurations along the way. Yet they show limited backup awareness: recognizing that an action will modify…
arXiv:2610.28945v1 Announce Type: new Abstract: Large language model (LLM) agents are increasingly expected to interact with environments and improve their decisions during deployment. However, how anticipating future outcomes and drawing on accumulated interaction experience…
arXiv:2610.29036v1 Announce Type: new Abstract: Explaining a time-series model requires both locating the evidence and extracting meaningful knowledge from it. Yet a single timestep is not a semantic unit: the meaningful patterns live across many samples, not in any one of them.…
arXiv:2610.28855v1 Announce Type: new Abstract: Progress on foundation model pretraining is gated by who can afford a trial, and relational pretraining is no exception. Recipes are developed inside individual labs, reported under private protocols, and do not accumulate.…
arXiv:2610.28875v1 Announce Type: new Abstract: Large language models increasingly take part in extended conversations where they can both shape and be shaped by another party's views, yet most persuasion research measures only one side of that exchange. We introduce a…
arXiv:2610.28836v1 Announce Type: new Abstract: This study proposes a sketch-to-simulation system to solve handwritten circuit diagrams. The system converts raw images into a Simulation Program with Integrated Circuit Emphasis (SPICE)-compatible netlist and automatically…
arXiv:2610.28891v1 Announce Type: new Abstract: Many social evaluations for multiagent systems study behaviors as they emerge from environments instead of systematically intervening in the environment to elicit such behaviors. We introduce Fig (Finding Interactions in Games), an…
arXiv:2610.28914v1 Announce Type: new Abstract: Frontier language-model agents excel at complex tasks, but high inference costs make transferring their capabilities to smaller models essential. Traditional knowledge distillation achieves this through parameter updates, requiring…
arXiv:2610.28982v1 Announce Type: new Abstract: While large language models are increasingly deployed as tool-calling agents, their safety evaluations still focus primarily on their ability to refuse harmful requests in text. We investigate whether the refusal behavior in text…
arXiv:2610.28987v1 Announce Type: new Abstract: Persistent memory is a largely undefended surface for injection and poisoning, and the same risk limits memory sharing among agents. We present PerMIT, a memory architecture with provable integrity guarantees under an explicit…
arXiv:2610.28989v1 Announce Type: new Abstract: Customized agent deployments define policies over tools, resources, and execution conditions. Providing these policies in the task agent's prompt does not reliably prevent violations. Training a guard requires examples of tool…
arXiv:2610.29010v1 Announce Type: new Abstract: Radiation treatment planning requires balancing competing objectives to satisfy clinical criteria while accommodating physicians' preferences. This study aims to develop an evidence-driven, multi-agent compound AI system that…
arXiv:2610.29014v1 Announce Type: new Abstract: Coding agents are rapidly advancing from single-file generation to long-horizon repository-scale engineering, yet the evaluation of their capabilities to author interactive extended reality (XR) applications remains an open…
arXiv:2610.29023v1 Announce Type: new Abstract: Large language model (LLM) agents are often improved by iterating until a fixed verifier is done. Once that verifier saturates, the loop has nothing left to climb. We instead score agents against the current population, and a…
arXiv:2610.29046v1 Announce Type: new Abstract: Large language models (LLMs) have shown considerable promise in synthesizing formal specifications from source code. However, existing approaches primarily focus on functional contracts and loop invariants, while largely neglecting…
arXiv:2610.29057v1 Announce Type: new Abstract: Users increasingly rely on large language models (LLMs) to analyse collections of independent inputs, such as product reviews or social media posts, and return a single aggregated answer. This setting requires multi-instance…
🌟 CLM-8B: an open and fast model for selecting agent actions Stanford, in collaboration with NVIDIA, has made the first model of the Contrastive Language Models class publicly available. This is an open analogue of Jev, which was presented on September 15 by the TypeSafe AI startup of a former researcher...
🤖 Anthropic released Claude Duet: a personal agent who writes to you first. Claude already had agents, but they had to be launched and waited. Duet works differently: you throw a task into a messenger-like thread, it does it in the background on your cloud computer and writes when...
✔️ Dream Labs presented a model for controlling unfamiliar robots Four former NVIDIA researchers from the GR00T robotics project team came out of stealth with their startup and opened the public API of the Dream-1 model. The company was led by Joel Jang, who led the GR00T…
Всем привет. В этом выпуске самые главные свежие новости об искусственном интеллекте и технологиях. Сооснователь Anthropic Джек Кларк заявил, что технологическая сингулярность уже наступила, а искусственный интеллект начал превосходить учёных и исправлять их ошибки.…
OpenAI models will soon be integrated into the Gemini AI agent
Фреймворк адаптивного агентного интеллекта использует Strands Agents для оптимизации AI-агентов.
Исследователи создали систему ScholarEvolve для оптимизации ИИ-агентов без переобучения, улучшив их производительность.
Anthropic представила Claude Duet, нового ИИ-агента для бизнеса, доступного в приложении.
AWS Trainium позволяет обучать Qwen3 с использованием torchtitan и Hugging Face.
Anthropic just announced an AI agent competitor to Meta's Muse and OpenAI's Dots: Claude Duet. The new agent, designed for professionals and small business owners, is launching as a "research preview," according to Anthropic, and it's available as a standalone app on iOS and…
OpenAI's GPT-5.6 Sol discovered a critical PHP vulnerability as part of the Patch the Planet initiative that could affect millions of websites. Security firm Wiz independently found the same flaw using Google's Gemini 4 Argon. OpenAI warns that the same AI capabilities that find…
Исследование Google Research демонстрирует, как ИИ может улучшить материнский уход.
A Blog post by NVIDIA on Hugging Face
🦂 Claude разработал белки, которые могут помочь в создании противоядия от укусов скорпионов Исследователи использовали Claude для проектирования белков, способных связываться с опасными токсинами скорпионов и потенциально блокировать их действие. Всего за 64 часа ИИ создал…
This is the kind of security issue that was found and prevented by AI, but is also a high risk because of AI.
Google Cloud is the first major cloud provider to offer Gemini, Claude, and OpenAI's GPTs on a single platform. At launch, GPT-6 Astra, GPT-6.1 Sol, and GPT-6 Luna are available as a private preview for enterprise customers. The article Google Cloud now offers OpenAI models…
A Blog post by Dharma-AI on Hugging Face
Deel представила модели Pangaea AI, которые обещают снизить затраты на HR и зарплаты.
Стартап Recursive представил модель Flint, демонстрирующую рекурсивное самоулучшение ИИ.
Demis Hassabis keeps moving up his AGI timeline. The Nobel laureate and former Google Deepmind CEO now expects artificial general intelligence within two to three years, down from three to five years earlier this year. The article Deepmind founder Hassabis shortens AGI timeline…
OpenAI and Google have officially announced their collaboration. OpenAI models will soon be available in Google Antigravity and Gemini Agent. Google already provides access to Gemini and Claude models, and now GPT models will be added to them. Thus, Antigravity users...
A Blog post by Amazon on Hugging Face
Recursive makes the case that the benefits of using AI to build AI outweigh the risks.
Do you believe today's models are conscious? >> I want to be clear. No one really knows. Can I say what I don't like about the whole framing? >> Should it ever be allowed to not answer or disengage with me? I think this is a technology that wants a new form factor. Some lab says…
At Nvidia’s GTC in Berlin, Huang unveiled the company’s new plug-in data center—the DSX Pod—as the key to unlocking Europe’s AI infrastructure lag. Oh, and autonomous humanoid robotics.
💰 Бывший глава Google владеет примерно 1% Anthropic — его доля может стоить $20 млрд По данным Bloomberg, Эрик Шмидт вложил десятки миллионов долларов в Anthropic ещё в 2021 году, когда стартап оценивался всего в $461 млн. Теперь ему, предположительно, принадлежит около 1%…