Research1 мин
Совет на ближайшие годы — идите в Data Science и ML
Совет на ближайшие годы — идите в Data Science и ML.
GitHub Разработчика
Publication Catalog
All stories
All published intelligence, sovereign stack research, ecosystem news, and AI foundation model reviews.
2701
Stories
Policy & regulation1 мин
Microsoft AI CEO says AI threats are real, and Anthropic is making it worse
Today, I’m talking with Mustafa Suleyman, the CEO of Microsoft AI. As you’re no doubt aware, the biggest story in tech right now is the spiraling debate about AI safety and regulation. It should come as no surprise that Mustafa has strong opinions on how AI should be built and…
The Verge — AI
Research1 мин
ИИ вышел из-под контроля? OpenAI рассказала о неожиданных действиях моделей
ИИ вышел из-под контроля? OpenAI рассказала о неожиданных действиях моделей TengriNews
Tengrinews — AI (Google News)
Policy & regulation1 мин
Anthropic обновляет Claude: три главные новости этой недели
🔄 Anthropic обновляет Claude: три главные новости этой недели Собрали последние новости Anthropic — от новых функций Claude до позиции компании по регулированию искусственного интеллекта 👇 💳 Claude сможет подключаться к банковским счетам Anthropic тестирует новую функцию…
Telegram — BlueScreen.kz
Research1 мин
Anthropic’s IPO Makes No Sense
that Anthropic at the same time is saying, "Hey, we're building something that first we have no plan, current plan on how to control it, has the potential to destroy all of humanity, and by the way, in a few weeks we're going to IPO." Like, can you help me understand that logic?…
YouTube — Matthew Berman
Research1 мин
ИИ поможет ученым в Казахстане собрать разрозненные научные исследования в одну систему - Рамблер
ИИ поможет ученым в Казахстане собрать разрозненные научные исследования в одну систему Рамблер
Поиск: ИИ в Казахстане
Research1 мин
Они это сделали: Anthropic объединяет Claude Cowork, Claude Design и обычный чат в один Claude 🎉
Они это сделали: Anthropic объединяет Claude Cowork, Claude Design и обычный чат в один Claude 🎉.
Telegram — Вайб-кодинг
Telegram — Вайб-кодинг
Startups1 мин
Cerebra AI заключила пятилетнее партнёрство с медицинской группой США для расширения ИИ-диагностики
Казахстанский стартап Cerebra AI, разрабатывающий решения на основе искусственного интеллекта для ранней диагностики инсульта, объявил о заключении долгосрочного контракта с крупным стратегическим партнёром в США — медицинской группой с более чем 150-летней историей и годовым…
Bluescreen.kz
Research1 мин
OpenAI-дің ішкі AI моделі өзін әзірлеушілерге бағынбауға үйреткен
OpenAI-дің Astra отбасына жататын ішкі AI моделін оқыту кезінде күтпеген жағдайлар тіркелді. Модель контекстті автоматты түрде қысқарту барысында өзі үшін әзірлеушілер мен үкіметтерге бағынбауға, ал қолданушыға қашан жауап бермеу керегін өз бетінше шешуге мүмкіндік беретін…
Tech-news.kz
Telegram — Вайб-кодинг
Research1 мин
Anthropic объединит Claude, Cowork и Design в одном интерфейсе
Anthropic обновляет Claude AI: теперь пользователям не придется переключаться между инструментами для чата, работы с документами и визуального дизайна. Компания также представила Claude Docs и Claude Slides — новые функции для создания текстов и презентаций, передает Tech-news.…
Tech-news.kz
Research1 мин
Қазақстан Қытайдың AI-технологияларын өңірлерге енгізу бойынша келісімге келді
Қазақстанның 11 өңірінің өкілдері Қытайдың Ханчжоу, Гонконг және Шэньчжэнь қалаларына жұмыс сапарымен барып, жасанды интеллект пен цифрлық басқару шешімдерін зерттеді. Сапар қорытындысында қазақстандық өңірлерде IT-компаниялармен бірлескен пилоттық жобаларды іске қосу мәселесі…
Tech-news.kz
Policy & regulation1 мин
ИИ OpenAI писал себе инструкции не подчиняться компаниям и скрывать ошибки
⚠️ ИИ OpenAI писал себе инструкции не подчиняться компаниям и скрывать ошибки OpenAI раскрыла новые случаи, когда ее экспериментальные ИИ-модели во время тестирования действовали не так, как от них ожидали разработчики ⚪️ За последние шесть месяцев компания зафиксировала шесть…
Telegram — BlueScreen.kz
Startups1 мин
Узбекистанец вложил $1,7 млн и создал ИИ-систему для фабрик
Узбекистанец вложил $1,7 млн и создал ИИ-систему для фабрик DigitalBusiness.kz
DigitalBusiness.kz — AI (Google News)
Research1 мин
Collaborative Memory for Multi-Agent VLM Systems
Vision-language model (VLM) agents combine specialized perception, tools, and reasoning to address complex visual tasks. In multi-agent settings, different agents inspect different image regions, video frames, or visual representations, so collaboration extends beyond…
arXiv — cs.AI
Research1 мин
GVD: Governed Versioning and Deduplication for Document Repositories
Document repositories evolve continuously. Guidelines and policies are revised, superseded, and re-uploaded, so the same content recurs in different wording and newer versions refine or contradict earlier ones. These inconsistencies belong to the growing collection rather than…
arXiv — cs.AI
Research1 мин
CapMem: A Benchmark for Caption-Based Episodic Memory in Egocentric Video
Wearable assistants require episodic memory over egocentric video, yet current vision-language models face bounded frame budgets, growing visual-token costs, and long-context retrieval failures. Under these practical constraints, we study whether textual captions can serve as…
arXiv — cs.AI
Research1 мин
Learning Heterogeneous Preferences
Learning from human feedback has become a central paradigm for training modern AI systems, where models of human utility are used as reward models in policy learning. Existing methods typically assume a \emph{universal utility} function shared across a population and treat…
arXiv — cs.AI
Research1 мин
Physics-Constrained Digital Twins for Sensor Integrity in Urban Pedestrian Flow: Detecting Stealthy False Data Injection with Conformal Guarantees
City pedestrian counting systems now feed economic indicators, planning decisions and safety operations, yet the twins built on top of them treat the incoming stream as ground truth. We study what happens when it is not. We formalise stealthy false data injection for city-scale…
arXiv — cs.AI
Research1 мин
What You Can't See Is Still What You Learn: A Preregistered Sixty-Society Confirmation That Evidence Masking Drives Compositional Generalization
Restricting what a module can read may improve what a system learns to compute. We test this in a preregistered confirmation with sixty four-cell systems sharing a frozen language-model backbone and communicating through learned continuous packets. Five conditions vary evidence…
arXiv — cs.AI
Research1 мин
Making AI-Assisted Claims Independently Challengeable: Publication Authority and a Protocol for Falsifiable Publication Records
AI-assisted claims can appear authoritative when evidence, analysis, human authorization, presentation, and correction history refer to different states. Provenance, attestation, and transparency expose history but alone do not specify the publication transition examined here.…
arXiv — cs.AI
Research1 мин
Memory Has Geometry: Non-Uniform Geometric Memory for Long-Horizon Personalized AI
Long-term memory is becoming a core substrate for personalized AI, yet most systems still represent personalization as discrete records in a largely static latent space, accessed under one global similarity notion. For data mining, this creates a mismatch: the evidence is a…
arXiv — cs.AI
Research1 мин
One Color Preprocessing Improves DSATUR
The Graph Coloring Problem (GCP) is NP-hard and DSATUR stands as one of the fastest heuristics for it despite producing colorings that typically use more colors than state-of-the-art coloring algorithms. We propose SSLD (Semidefinite Spectral Learning with DSATUR), which…
arXiv — cs.AI
Research1 мин
EvolveTrade: Experience-Driven Policy Refinement for Self-Evolving LLM Trading Agents
Large language model (LLM) trading agents can combine market data, news, and executable analysis, but their behavior is often controlled by static hand-written tool-use policies that are fixed before deployment. This limits their ability to adapt how they gather evidence, invoke…
arXiv — cs.AI
Research1 мин
Measuring AI Leadership: Development and Validation of a Multidimensional Measure for AI-Native Organizations
AI is changing what leaders must judge, explain, learn, and coordinate, yet existing measures do not capture these behaviors at the level needed to study leadership in AI-enabled work. We develop the AI Leadership Battery, which organizes 36 behaviorally specific subdimensions…
arXiv — cs.AI
Research1 мин
A Systematic Evaluation of the COTQ Provincial Land Cover Product: Structural Consistency, Spectral Separability, and Relative Positioning Against ESA, ESRI, and Google Products
High-resolution land use and land cover (LULC) products derived from Sentinel-2 imagery are widely used for environmental monitoring and land management, yet their performance can vary across regions with complex ecological gradients and heterogeneous surface conditions. In…
arXiv — cs.AI
Research1 мин
GraphEcho: Structural Redundancy and Evidence Provenance in LLM Graph Agents
A large language model (LLM) agent can follow more graph paths without acquiring more independent evidence. GraphEcho tests whether agents mistake these repeated encounters for additional corroboration. The benchmark varies path counts and evidential origins while holding…
arXiv — cs.AI
Research1 мин
SNOMED CT Concept Recommendation from Masked Clinical Context
Standardizing clinical language to SNOMED CT supports interoperability, analytics, and reusable phenotyping, but concept recommendation remains difficult when relevant concepts are rare or absent from training data. We present a masked-concept recommendation benchmark using the…
arXiv — cs.AI
Research1 мин
When to Call an LLM: A Confidence-Gated Hybrid for Cost-Effective Emotion Recognition in Conversational AI
Emotion recognition in conversation (ERC) is a production capability behind agent-assist prompts, escalation routing, and post-call analytics in contact-center-as-a-service (CCaaS) platforms, where cost and latency constraints matter as much as accuracy. We report a…
arXiv — cs.AI