Smart portal about artificial intelligence and high technology in Kazakhstan
Sam Alman, the CEO of OpenAI, the company behind ChatGpt, just told his own employees that there are only three ways this whole AI race can end. And one of those endings is a single company getting so powerful that it can literally melt everyone else's GPUs. This is not a…
Стартап Electric Plant создает ИИ, который интерпретирует электрические сигналы растений.
AWS Machine Learning описывает важность X.509 PKI для ИИ-агентов.
Канадские организации теперь могут использовать модели OpenAI через Amazon Bedrock.
⚖️ Инженера OpenAI, обвиняемого в установке прослушки, отказались выпускать под залог в $1 млн Федеральный суд США оставил под стражей Абдулрахмана Альфозана, которого подозревают в установке записывающего устройства в переговорной комнате руководства OpenAI. По данным…
OpenAI CEO Sam Altman laid out three paths to safe AI in an internal presentation: an international watchdog modeled after the IAEA, a merger of the major labs into one entity, or a single company so powerful it could shut down everyone else's compute. He called the last option…
OpenAI improved its latest models for low-resource programming languages like COBOL, Fortran, and Visual Basic. On the new MultiLangBench, GPT-6 Astra hits an 87.4 percent test pass rate across 20 languages, up from about 38 percent for GPT-5.6 Terra. For COBOL migration…
Ahead of Scorpio season, Anthropic showed how Claude is engineering proteins against scorpion toxins 🦂 Investment firm Citrini Research teamed up with Anthropic to test how good AI really is at biotech. Five analysts along with an internal model...
A Blog post by Ai2 on Hugging Face
Electric Plant has built an AI-powered translator to help humans listen to what plants are saying with the subtle electricity coursing through their stems.
A Blog post by IBM Research on Hugging Face
🧠 Anthropic может выпустить Claude Fable 5.5 до конца октября По данным The Information, компания тестирует новую ИИ-модель с улучшенными способностями к рассуждению и пониманию намерений пользователя. Главная особенность — умение понимать задачи даже по неполным инструкциям.…
🖥️ 94% of surveyed DevOps specialists are already using AI Cloud provider Pro-Data surveyed 93 participants at the DevOps Days Almaty conference and found out how their teams work with artificial intelligence. ❓ What the participants said: • 42% are already using AI in...
Figma said it plans to support as many standards as possible without exposing all of its data
Eka Robotics привлекла $150 миллионов и оценивается в $1,45 миллиарда благодаря инновационной модели ИИ.
🌍 Abroad, Kazakhstanis spend 3-4 times more and most often on shopping. Visa presented a study of outbound tourism in Kazakhstan based on transaction data for 2022-2025. In 2025, foreign tourists accounted for 13% of all travelers from Kazakhstan, but 42%...
IBM Research анонсировала llm-d 1.0 — открытое решение для инфраструктуры ИИ.
Eka Robotics may be the first robotic arm that is actually good at picking a wide range of objects up, and it is so smooth and human-like, it is wowing the industry.
🌟 SonicBoom: an inference engine without Python HardenedVault, which specializes in Linux and compiler security, has released the SonicBoom runtime, written from scratch in C++ and CUDA. It doesn't need Python either to work or to build. The goal of the project is the local launch of language…
Cloudflare has released an AI model it says pulls data from documents faster and more cheaply than large language models. The article Cloudflare's Clairic pulls data from documents faster and cheaper than LLMs appeared first on The Decoder.
Компании исполнили уведомления, направленные по результатам камерального контроля.
✔️ Anthropic trains agent negotiators Agents are taught to negotiate on behalf of the user, and the company transfers the practices of professional negotiators into models in consultation with law firms. Researchers are interested in the protocols of interaction between agents and...
IS GitHub NO LONGER NEEDED? Claude built a replacement in 5 months What to do when AI writes code faster than conventional tools can process it? Anthropic set out to create its own Git replacement, Scion. In the video we analyze: 🟠Why AI agents forced us to reconsider...
Astana Hub and Ghent University open a joint laboratory of artificial intelligence and mathematics Enbekshi QazaQ
🤖 Google выпустила Harness² — фреймворк для самоулучшения ИИ-агентов Google Research открыла исходный код системы, которая позволяет ИИ-агентам самостоятельно улучшать свою работу без переобучения нейросети. Harness² даёт агентам возможность менять промпты, настройки памяти,…
Microsoft acquired Maluuba a year before GPT-1 was released. The company's founder admits that he regrets the sale because Maluuba could have become the next OpenAI. Now the same deep learning team is back with a new project called Skyfall AI, and its first model is...
Anthropic создаёт специальный фонд, который будет получать долю акций компании и увеличивать капитал по мере её роста. Средства планируют направлять на решение социальных проблем, связанных в том числе с развитием искусственного интеллекта и его влиянием на рынок труда, передает…
Hi, I'm Pongup Pak from War at PyTorch Conference North America 2026. I'm presenting a poster called where the block lives. When GPU memory fmflows the KB cache to CPU or storage and LMD tracks where every block lives and sends each request to its cache. You will see when CPU is…
arXiv:2610.24298v1 Announce Type: new Abstract: Multi-agent LLM systems exchange messages before acting through tools, but message delivery, signing authority, and tool-side enforcement are separate trust boundaries. We represent them as communication, authorization, and…
arXiv:2610.24161v1 Announce Type: new Abstract: TorchTPU is an open-source collaboration between Google and Meta that introduces a native and principled PyTorch backend for Google TPUs. It enables seamless out-of-the-box model execution and TPU migration while delivering…
arXiv:2610.24006v1 Announce Type: new Abstract: Prominent AI safety discussions emphasize existential threats and catastrophic events, such as AI-enabled nuclear conflict or engineered biological outbreaks. This position paper argues that there is another type of AI risk that…
arXiv:2610.24010v1 Announce Type: new Abstract: Generative AI is becoming an important medium for artistic creation, yet existing interactions often assume that creators can specify intentions in advance and accurately communicate them through text prompts. Artistic intentions,…
arXiv:2610.24268v1 Announce Type: new Abstract: Form 10-Q MD&A sections combine long-form management narrative with accounting and forward-looking information. Benchmarks for financial filings commonly evaluate question answering or numerical reasoning, leaving unclear whether…
arXiv:2610.24229v1 Announce Type: new Abstract: Reinforcement learning with verifiable rewards (RLVR) has emerged as a prominent paradigm for training reasoning models, but its computational cost makes efficient data selection increasingly important. Since training examples…
arXiv:2610.24287v1 Announce Type: new Abstract: Search-augmented language models increasingly serve as long-horizon research agents, yet most open training methods assume a fixed user goal throughout search. We study mid-response steering, where users redirect a model during…
arXiv:2610.24194v1 Announce Type: new Abstract: Tool-using LLM agents repeatedly face decision points under uncertainty, choosing between autonomous action, additional information gathering, and human escalation. These decisions require balancing task success against interaction…
arXiv:2610.24024v1 Announce Type: new Abstract: Rare diseases (RDs) affect an estimated 300 million people globally, leaving patients to navigate a protracted diagnostic odyssey constrained by clinical scarcity and fragmented medical knowledge. Artificial intelligence (AI) has…
arXiv:2610.24248v1 Announce Type: new Abstract: Text-to-SQL systems typically assume a one-to-one mapping between natural-language queries and correct SQL translations. In practice, however, many queries are inherently ambiguous, admitting multiple valid interpretations that…
arXiv:2610.24061v1 Announce Type: new Abstract: As teams of AI agents take on larger projects and long-standing open problems, agent collaboration offers another dimension for scaling inference-time compute. To understand what makes such collaboration effective and scalable, we…
arXiv:2610.23962v1 Announce Type: new Abstract: We propose a controlled Large Language Model (LLM) workflow for explaining risk score differences using similar historical transactions. The workflow combines reference retrieval and contrastive SHapley Additive exPlanations (SHAP)…
arXiv:2610.23866v1 Announce Type: new Abstract: We introduce GardenBench, a benchmark with 11 test suites that evaluate the capabilities of Large Language Models (LLMs) across a range of tasks. By systematically prompting LLMs with various lightweight queries, we document…
arXiv:2610.24264v1 Announce Type: new Abstract: As LLM-based agents are deployed with increasing autonomy in real-world environments, a critical failure mode emerges: agentic misalignment, where agents choose harmful actions over failure. However, existing safety benchmarks…
arXiv:2610.24051v1 Announce Type: new Abstract: Text-to-Image (T2I) generative models have made significant progress in producing high-fidelity images from natural-language prompts. Alongside this progress, numerous benchmarks have been developed to evaluate capabilities such as…
arXiv:2610.24108v1 Announce Type: new Abstract: Jointly pretrained multimodal encoders are a common way to combine modalities, while alternatives integrate their information during downstream training or inference. When does each approach win? We compare three paradigms,…
arXiv:2610.24107v1 Announce Type: new Abstract: Context-to-LoRA methods encode documents as low-rank parameter updates, allowing language models to answer without retaining the source text in their decoding context. How reliably do these updates preserve facts and support their…
arXiv:2610.24177v1 Announce Type: new Abstract: Video generative models are an emerging tool for embodied agents: they can serve as scalable visual planners, generating videos that depict how to complete previously unseen tasks. However, executing these plans typically requires…
arXiv:2610.24255v1 Announce Type: new Abstract: A coding agent combines a large language model (LLM) with a harness that plans, edits, and executes code. We study Cortex, a supervisory layer for pre-execution governance, requirement tracking, and iterative validation and repair.…
arXiv:2610.24294v1 Announce Type: new Abstract: Tool-using agents are trained and evaluated almost exclusively with strong simulated users who state every detail clearly, yet real users are often weaker. We construct weak users by masking sentences of a simulated user's replies,…
arXiv:2610.24266v1 Announce Type: new Abstract: Incomplete mobility trajectories can obscure the observations needed to identify important travel events and their endpoints. This study evaluates whether compact, locally deployed large language models (LLMs) can recover missing…
arXiv:2610.24133v1 Announce Type: new Abstract: We ask how much an autoregressive transformer retains of its prompt after generating $t$ tokens. Consider two different prompts followed by the same continuation text, so that any difference in their hidden states comes from the…
arXiv:2610.23921v1 Announce Type: new Abstract: There is growing interest in automating business activities with Agentic Artificial Intelligence (AI) due to latter's seeming ease of use. Never has it been easier, or costlier, to do less with more. However, little is known about…
arXiv:2610.24090v1 Announce Type: new Abstract: Does persistent memory accumulated from previous attempts help an LLM agent solve new problems, and does memory design affect that benefit? We study programmatic Chinese-character drawing across five agent conditions attempting the…
arXiv:2610.24199v1 Announce Type: new Abstract: Automating synthesis planning for small-molecule drug design requires chemical reasoners that are accurate as well as open to inspection and adaptation, yet frontier language models remain unreliable at predicting reaction outcomes…
Meta AI models help speed up data analysis in scientific research.
Deputy of the Jogorku Kenesh Dastan Bekeshev, using artificial intelligence, found 44 errors and inaccuracies in the Russian version of the Constitution of Kyrgyzstan. The shortcomings relate to the style, quality of translation, and also allow for double interpretation and semantic distortions, 24.kg reports. Like AI...
Amazon Bedrock now supports structured inferences for Claude models.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Microsoft представила Guardian Agents для защиты от угроз ИИ-агентов.
Хуггинг Фейс поднимает вопросы о стандартизации оценок ИИ и их воспроизводимости.