All published intelligence, sovereign stack research, ecosystem news, and AI foundation model reviews.
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…
In the UK, a robot has been introduced for the first time to scan the hands and wrists of patients with suspected rheumatoid arthritis. The technology makes it possible to speed up examinations and help doctors prescribe treatment on the day of treatment, Tech-news reports. The system was implemented at the Royal Hospital...
⚡️ 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...
The Telecom Set Directorate spoke about quality control, digital labeling of goods, working with domestic manufacturers and the introduction of AI in procurement
The most interesting cases were discussed at the large-scale conference AI CRM CONF 2026
I am a city dweller in the classic sense. My background is in law, international law. Before becoming a farmer and livestock breeder, I ran a cosmetics manufacturing plant. I was 30 years old. I began to think about what kind of work I should dedicate my life to. Well, everyone…
💙 Social Impact: 5 features on the astanahub.com platform that you can use today! We have collected 5 Social Impact activities available to participants of the Astana Hub ecosystem: 📝 Share your experience — about your participation in AI & Digital Bridge 2026 on the astanahub.com platform…
🔴 Critical PHP vulnerabilities have led to massive shutdowns of websites around the world. What is known now? On October 21, government websites, hospitals and other organizations in several countries temporarily stopped working due to two dangerous vulnerabilities in PHP, the language...
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:2610.28698v1 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:2610.28706v1 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:2610.28763v1 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:2610.28686v1 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:2610.28909v1 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:2610.28826v1 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:2610.28912v1 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:2610.28855v1 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:2610.29036v1 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:2610.29057v1 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…
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:2610.28982v1 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:2610.28891v1 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:2610.29014v1 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…