All published intelligence, sovereign stack research, ecosystem news, and AI foundation model reviews.
Services from several hundred dollars: 11 services where they are collected To go freelance and get clients, you don’t have to immediately understand code, installation and design. ㅤ There are services in which the finished product is assembled almost from scratch. Choose one, learn to receive in it...
A Blog post by IBM Research on Hugging Face
📍 AI has learned to determine the shooting location from a photograph with an accuracy of up to 2 meters. A new skill has appeared for AI agents that allows you to search for geographic coordinates using a regular photo. The tool uses satellite maps, street views and terrain data to compare...
Новые открытые модели NVIDIA помогают европейским правительствам эффективно управлять данными.
Модели NVIDIA Earth-2 помогают прогнозировать погоду и климат в Европе.
NVIDIA внедряет открытые модели и физический интеллект в европейскую розницу.
Companies are adopting the NVIDIA DSX platform to solve energy challenges and optimize infrastructure.
NVIDIA расширила платформу Cosmos новыми инструментами для создания мировых моделей.
Европейские финансовые организации внедряют открытые модели для создания интеллекта.
✔️ Gamers are demanding that Valve implement a global AI filter on Steam The latest Steam Next Fest demo festival has encountered a large influx of low-quality projects created using generative neural networks, which has caused sharp criticism in the community. Despite…
Every Claude Code user should definitely install /stack. The /stack mod shows EVERYTHING that is installed and available in Claude Code: Skills, subagents, commands, hooks, MCP servers, plugins, settings and output styles. Everything is grouped by configuration levels: Enterprise,…
⚡️ Anthropic introduced Claude Duet, a personal AI agent that works without permanent commands. The new service is built on the basis of Claude Opus 5.5 and will become a competitor to Dots from OpenAI and Grok Bot. Duet runs in the cloud, uses a browser and connected applications, and performs...
Anthropic decided to take on OpenAI Dots and Grok Bot by releasing Claude Duet based on the incredibly powerful Opus 5.5. • Available on Claude Pro plan (Dots requires ChatGPT Pro subscription for $100 per month). • Runs on Opus 5.5, which is called the best model in the world. • Has…
arXiv:2610.28815v1 Announce Type: new Abstract: Agentic harness evolution optimizes an agent's instructions, tools, and control flow by using its task execution experiences as evolving evidence. While more evolution tasks should intuitively improve performance, our preliminary…
arXiv:2610.28698v1 Announce Type: new Abstract: Scaling data, diversity and model capacity has improved embodied learning in physical environments, where diverse experiences remain grounded in shared physical laws. Whether these gains extend to virtual worlds with different…
arXiv:2610.28706v1 Announce Type: new Abstract: LLM-driven evolutionary search is a promising paradigm for scientific discovery, but existing methods remain costly and slow, often applying expensive reasoning uniformly while underusing evidence from failed, redundant, and…
arXiv:2610.28763v1 Announce Type: new Abstract: Frontier coding agents are increasingly framed as end-to-end automated researchers, and ML for science offers a demanding test of that promise: improving a scientific model often requires domain insight beyond routine ML…
arXiv:2610.28686v1 Announce Type: new Abstract: Query clarification is essential for retrieval-augmented generation (RAG) systems that face ambiguous user queries. We consider multi-turn grounded conversational scenarios where a user query is either ill-formed or ambiguous in…
arXiv:2610.28909v1 Announce Type: new Abstract: Deep research systems iteratively plan, gather evidence, synthesize, and revise, making end-to-end latency a key bottleneck for interactive use. Almost all production systems are built on autoregressive (AR) language models and…
arXiv:2610.28826v1 Announce Type: new Abstract: Automated judges of clinical artificial intelligence (AI) outputs are necessary, but large language model (LLM) judges are costly and slow at scale. We compared Jev, a decision language model that returns structured judgments, with…
arXiv:2610.28905v1 Announce Type: new Abstract: Diffusion language models form answers through a sequence of revisable continuous states, but multi-agent systems usually discard those states and make agents communicate only after decoding text. We ask whether one independent…
arXiv:2610.28912v1 Announce Type: new Abstract: This paper charts the evolution of the Prolog textbook Simply Logical -- Intelligent Reasoning by Example from print with runnable programmes on a 3.5-inch diskette published in 1994, via various intermediate online versions, to…
arXiv:2610.28934v1 Announce Type: new Abstract: Coding agents now complete tasks autonomously, modifying real-world state such as artifacts, software environments, and configurations along the way. Yet they show limited backup awareness: recognizing that an action will modify…
arXiv:2610.28945v1 Announce Type: new Abstract: Large language model (LLM) agents are increasingly expected to interact with environments and improve their decisions during deployment. However, how anticipating future outcomes and drawing on accumulated interaction experience…
arXiv:2610.28855v1 Announce Type: new Abstract: Progress on foundation model pretraining is gated by who can afford a trial, and relational pretraining is no exception. Recipes are developed inside individual labs, reported under private protocols, and do not accumulate.…
arXiv:2610.28875v1 Announce Type: new Abstract: Large language models increasingly take part in extended conversations where they can both shape and be shaped by another party's views, yet most persuasion research measures only one side of that exchange. We introduce a…
arXiv:2610.29036v1 Announce Type: new Abstract: Explaining a time-series model requires both locating the evidence and extracting meaningful knowledge from it. Yet a single timestep is not a semantic unit: the meaningful patterns live across many samples, not in any one of them.…
arXiv:2610.29057v1 Announce Type: new Abstract: Users increasingly rely on large language models (LLMs) to analyse collections of independent inputs, such as product reviews or social media posts, and return a single aggregated answer. This setting requires multi-instance…
arXiv:2610.28989v1 Announce Type: new Abstract: Customized agent deployments define policies over tools, resources, and execution conditions. Providing these policies in the task agent's prompt does not reliably prevent violations. Training a guard requires examples of tool…
arXiv:2610.28982v1 Announce Type: new Abstract: While large language models are increasingly deployed as tool-calling agents, their safety evaluations still focus primarily on their ability to refuse harmful requests in text. We investigate whether the refusal behavior in text…