All published intelligence, sovereign stack research, ecosystem news, and AI foundation model reviews.
For this purpose, it is planned to build more than 500 telecommunications infrastructure facilities, Kazinform agency reports with reference to the Ministry of Artificial Intelligence and Digital Development of the Republic of Kazakhstan.
UltraSense claims that ultrasound can mitigate the wear and tear at the point of tactile sensing. Source: UltraSense Physical AI is moving from digital reasoning into real-world interaction. Robots can see, plan, navigate, and move with sophistication. Yet manipulation depends…
In Kazakhstan, it is planned to provide more than 40 thousand km of republican and regional roads with mobile communication. To do this, more than 500 antenna-mast structures and base stations will be built, the Ministry of Artificial Intelligence and Digital Development reported. The progress of the project...
OpenAI has spent the last few years planting flags across the increasingly difficult terrain in mathematics. This week, it claimed one of its biggest prizes yet: a solution to a legendary Millennium Prize problem. In normal circumstances, this would have been celebrated as a…
Plus: The US disrupts the internet’s biggest black market, a Conti ransomware hacker gets prison time, Meta fails to stop AI-generated videos of child abuse.
Казахстанцы придумали устройство, которое изменит работу заводов.
OpenAI приостанавливает новые подписки на тариф Pro за $200 из-за нагрузки, которую создаёт Astra..
After the advent of ChatGPT, the number of fraudulent emails increased by 30 times. This was reported by MSSP Global CEO Dauren Salipov, noting that artificial intelligence has allowed attackers to significantly speed up the preparation of fraudulent mailings and make them more personalized,...
Kazakhstan and Uzbekistan intend to introduce mutual acquiring of national QR codes
От ИИ до командной работы: Boeing начал готовить авиационные кадры в Казахстане - DKNews.kz.
President Kassym-Jomart Tokayev begins a working visit to Delhi. On September 12–13, India will host the XVIII BRICS summit, where Kazakhstan participates as a partner country, Kazinform reports. Trade and Investment Kazakhstan and India have maintained diplomatic relations for over 30 years,…
Кто оказался последним в цифровой гонке Казахстана - Inbusiness.kz.
Казахстан и Китай готовят совместные технологии для Alatau City - DKNews.kz.
Новое в Claude Code: claude plugin eval 🎉 Теперь можно посмотреть, какую пользу на самом деле приносит ваш плагин и не требует ли он доработки. Можно создать тестовые случаи, прогнать на них плагин или навык, оценить результаты, а затем повторно запустить каждый тест уже без…
arXiv:2609.10964v1 Announce Type: new Abstract: Agentic LLM workflows consist of sequences of model turns interleaved with tool interactions, so their end-to-end completion time depends not only on inference speed but also on when ready turns are released. Most runtimes release…
arXiv:2609.10712v1 Announce Type: new Abstract: We study how model post-training and test-time inference design affect natural-language proof generation for hard olympiad mathematics. Starting from Nemotron 3 Ultra, we train two specialist checkpoints using supervised…
arXiv:2609.11115v1 Announce Type: new Abstract: Benchmark researchers and developers of large language models (LLMs) and other AI systems need to find relevant evaluations, locate their benchmark datasets and code, and understand the settings behind reported scores. We present…
arXiv:2609.10657v1 Announce Type: new Abstract: Neural networks trained past memorization frequently undergo a delayed transition to generalization, a phenomenon known as grokking. Despite theoretical progress on \emph{why} this transition occurs, the quantitative structure of…
arXiv:2609.10724v1 Announce Type: new Abstract: Sustained deployment of generative AI agents requires more than isolated task success. Agents must remain useful across repeated interactions, changing conditions, and dependencies on people within shared workflows, especially as…
arXiv:2609.10728v1 Announce Type: new Abstract: Large language models are unreliable at arithmetic, which is a problem for clinical calculators where a single numerical error changes the recommendation. The standard response is to hardcode each calculator as a validated…
arXiv:2609.10873v1 Announce Type: new Abstract: Independent evaluation can reject harmful policy updates yet also prevent useful continual learning. We argue that update admission must be assessed through both error control and retained learning opportunities at a stated…
arXiv:2609.10992v1 Announce Type: new Abstract: The integration of Large Language Models into daily tasks relies on context-rich instructions, inevitably exposing sensitive user information. Current privacy-preserving methods typically employ context-agnostic static rules,…
arXiv:2609.11018v1 Announce Type: new Abstract: The term agent in artificial intelligence lacks a standard definition, complicating the evaluation, comparison, and reproducibility of AI agent research. We address this ambiguity through a survey organized around five dimensions…
arXiv:2609.10629v1 Announce Type: new Abstract: Quadratic Unconstrained Binary Optimization (QUBO) is a central formulation for combinatorial optimization and has gained increasing attention due to its compatibility with quantum, hybrid quantum-classical, and quantum-inspired…
arXiv:2609.11030v1 Announce Type: new Abstract: AI agents increasingly act through tools and delegated authority, but general incident repositories rarely capture the mechanisms needed to compare public failures with agent-security evaluations. We present the Agent Incident…
arXiv:2609.11060v1 Announce Type: new Abstract: Persistent memory is entering production-oriented agent platforms to help long-horizon agents accumulate experience across sessions. Yet a post-task curator agent restricted to completed trajectories can preserve errors,…
arXiv:2609.11061v1 Announce Type: new Abstract: Tree-structured rollouts give critic-free reinforcement learning with verifiable rewards (RLVR) step-level credit: fork a chain at an intermediate point, and sibling outcome differences estimate step value. Each fork adds sampling…
arXiv:2609.10654v1 Announce Type: new Abstract: The Abstraction and Reasoning Corpus (ARC) benchmarks cognitive generalization, the ability to infer and apply abstract rules from limited examples. This paper presents a multi-stage rule-chaining framework that performs…
arXiv:2609.10656v1 Announce Type: new Abstract: Selecting LoRA rank for diffusion fine-tuning requires balancing quality and compute cost. We present a controlled study on CIFAR-10 using a DDPM U-Net with ranks {2,4,8,16,32}, fixed optimization settings, and a reproducible…
arXiv:2609.10824v1 Announce Type: new Abstract: Before an LLM agent tackles tasks in a new environment, it can inspect available corpora and tools and construct reusable resources such as indices, scripts, or procedural guidance. Most automated adaptation methods, however, rely…