Policy & regulation1 мин
ChatGPT will be involved in the preparation of materials for educational psychologists in Kazakhstan
ChatGPT will be involved in the preparation of materials for educational psychologists in Kazakhstan Shyndyk.kz
Shyndyk.kz
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Startups1 мин
Uzbekistan will train 1 million young people annually in robotics and game development
Uzbekistan aims to train 5.5 million young people in digital skills by 2030 and create an additional 500,000 jobs in the digital economy. The goal of creating 300,000 jobs in the IT sector, set for 2030, was achieved in 2026. Now the authorities are planning...
The Tech.kz — венчур и стартапы
General1 мин
Khorgos introduces system for crossing border in 10 seconds
✅ Khorgos introduces system for crossing border in 10 seconds. At the Khorgos International Center for Cross-Border Cooperation, the electronic inspection system QGate is being introduced. It is expected to reduce border control crossing time to 10 seconds and decrease…
Telegram — BlueScreen.kz
General1 мин
Perplexity launched an AI agent for Mac with local data processing
Perplexity has introduced a fully local Computer mode for Mac computers with Apple silicon processors. Now the AI agent can schedule tasks, analyze files and interact with applications directly on the device without sending personal data...
The Tech.kz — венчур и стартапы
Industry AI1 мин
China prepares a robotics breakthrough: what opportunities does this open for Central Asia?
On February 28 last year, the Beijing Committee on Science and Technology and the administration of the Zhongguancun Technology Park adopted an Action Plan for the Development of Technological Innovations and Industry in the Field of Embodied Intelligence for 2025-2027, reports Tech-news. The document became a serious…
Tech-news.kz
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
General1 мин
Spotify has removed more than 50 million AI tracks from its recommendations since the beginning of the year.
🎵 Spotify has removed more than 50 million AI tracks from recommendations since the beginning of the year. The streaming service has stepped up the fight against music spam and low-quality compositions created by neural networks. Another 75 million AI tracks were completely removed for violating platform rules. To identify...
Telegram — GPT Time | Нейросети | ИИ
Startups1 мин
“Be able to write prompts and build a hut.” EPAM co-founder on how to survive the job market in the AI era
EPAM co-founder Leonid Lozner spoke about which professions will disappear due to neural networks and the hidden threat of ChatGPT to the brain
DigitalBusiness.kz
Crypto & Blockchain1 мин
From Digital Platform to Real Business: Bank RBK Launches Lending in Digital Tenge
The first transactions took place under the Damu Fund's "Örleu" program, opening a new chapter in the digitalization of entrepreneur financing. Digital tenge is not only a new settlement format but also an additional tool for enhancing the transparency of government programs…
InBusiness.kz
General1 мин
ENU denies personal data leak after student complaints
⁉️ ENU denies personal data leak after student complaints. In Kazakhstan, questions about protection of students' personal data have arisen again. This time — at the L.N. Gumilyov Eurasian National University in Astana. According to Qumash, first-year master's students…
Telegram — BlueScreen.kz
Startups1 мин
AI Becomes New Driver of China's Industrial Growth
China is expanding the adoption of artificial intelligence in industry, services, and retail. In the first nine months of 2026, digital manufacturing accounted for more than a third of the growth in the large industrial sector, while investments in electronic circuit production…
Tech-news.kz
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
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
Large language model and reinforcement learning based autonomous construction and progress updates
arXiv:2610.26899v1 Announce Type: new Abstract: Due to the rapid growth of the global population, traditional construction methods are gradually unable to meet the current housing demand. The advancement of machine learning algorithms has encouraged researchers to explore their…
arXiv — cs.AI
Industry AI1 мин
Southeast Asia’s digital economy to hit $368 billion
Widespread AI adoption is propelling Southeast Asia's digital economy to a projected $368 billion in 2026 and $1 trillion by 2035.
Google AI Blog
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
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
MedPAO-Assist: Edge-Deployable, Modality-Aware Agentic AI for Radiology Report Structuring
arXiv:2610.26913v1 Announce Type: new Abstract: The adoption of Large Language Models for radiology report structuring has been largely dominated by either proprietary cloud-based models or large open models requiring high-end GPUs for deployment, which is a critical bottleneck…
arXiv — cs.AI
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
Fix, Not Just Resample: Bounded Compiler-Guided Repair in Lean 4
arXiv:2610.26942v1 Announce Type: new Abstract: Automated theorem provers often rely on sampling language models, but proof assistants like Lean reject each failed step with a precise error message --- information that pure sampling discards. To overcome this, we introduce a…
arXiv — cs.AI
Research1 мин
When Planning Problems Become Hard for LLMs: Separating Structural Complexity from Semantic Interpretability
arXiv:2610.26964v1 Announce Type: new Abstract: Large language models (LLMs) struggle with classical planning, but benchmarks rarely distinguish structural difficulty from the difficulty of interpreting symbolic vocabulary. We examine seven STRIPS domains with BFS-optimal plan…
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
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
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
M-Plan: Comprehensive Planning For LLM Agents with Memory Arrangement
arXiv:2610.27032v1 Announce Type: new Abstract: Large language model (LLM)-based agents have recently demonstrated outstanding performance in single-turn tasks, yet they continue to struggle with long-horizon tasks, particularly in environments without prior training. A key…
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
Navalia: Advancing Cowork Agents through Verifiable Task Synthesis and Long-Horizon Post-Training
arXiv:2610.26887v1 Announce Type: new Abstract: Large language model (LLM) agents are evolving from conversational assistants into Cowork Agents capable of autonomous planning, tool use, and complex task execution. Financial analysis requires these agents to integrate…
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
PROVISO: Provenance-Informed Action Selection for Secure LLM Agents
arXiv:2610.27115v1 Announce Type: new Abstract: LLM agents act on the external world through tools and third-party skills, so a single executed action can cause irreversible harm. Existing defenses judge a proposed action without tracking whether its content comes from the user…
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