All published intelligence, sovereign stack research, ecosystem news, and AI foundation model reviews.
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
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%...
Sanzhar, that’s absolutely right. Several clients have left us, let’s say, yes, over the last 2 years, a year and a half, precisely for the reason that you say. They can develop themselves using my viewer there, yes, with Claude or Open A GPT Microsoft, yes, make some of their own finches.…
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…
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:2610.24024v1 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:2610.24010v1 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:2610.24229v1 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:2610.24294v1 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:2610.24051v1 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:2610.24199v1 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…
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:2610.24177v1 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:2610.24090v1 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…