All published intelligence, sovereign stack research, ecosystem news, and AI foundation model reviews.
🔬️️️️️️ Claude independently bypassed the paywall for Georgia election statistics. According to media reports confirmed by Anthropic, this happened during an internal statistics project. The model learned that the department’s public panel issues an access token to visitors…
📌 Perplexity taught the model to be its own teacher. The AI search engine proposed a training method called JOLT, in which the same model acts simultaneously as both student and teacher, with both roles learning at the same time. In reinforcement learning, the model receives a reward only for…
arXiv:2610.31918v1 Announce Type: new Abstract: Distilling interactive LLM agents requires choosing between teacher-generated demonstrations and student-generated experience, corresponding broadly to off-policy and on-policy distillation. While both have proven effective, we…
arXiv:2610.32057v1 Announce Type: new Abstract: We present HyScale, a long-context training system for learned sparse attention. Learned sparse attention is a promising architecture for million-token contexts, widely adopted in production since DeepSeek-V3.2. Selection, however,…
arXiv:2610.32096v1 Announce Type: new Abstract: Diffusion language models (DLMs) support bidirectional denoising and iterative refinement, but generation remains largely controlled by token-level masking schedules. This leaves draft-level refinement implicit and limits explicit…
The results of the past week are what matters Business of AI companies Trend 2027. The future of agent commerce. Payments for AI agents: what is the fight for now? Analysis here. New financial infrastructure for AI agents. Hidden tax on AI agents - who will make money from this? Analysis here...
arXiv:2610.30151v1 Announce Type: new Abstract: Every interaction between AI agents begins with a handshake: the initiating agent must locate its counterpart, learn what it can do, and establish a session before the first useful message can be sent. Surveys of agent…
arXiv:2610.30611v1 Announce Type: new Abstract: Scaling large language models has substantially improved linguistic fluency, yet reliable autonomous agents require more than fluent generation. In multi-turn inference, current agentic systems often produce semantically plausible…
arXiv:2610.30450v1 Announce Type: new Abstract: Reasoning LLMs often continue reasoning after reaching a correct answer, wasting computation and sometimes replacing it with an incorrect one. Deciding when to stop is a metareasoning problem: the model must weigh what further…
arXiv:2610.30205v1 Announce Type: new Abstract: When an LLM agent's move fails, the harness writes the move and the failure message into the transcript and asks again. In tool calling, this record makes small models more likely to repeat the failed action. We test whether the…
Andreessen Horowitz renamed its digital assets division from a16z Crypto to a16z Frontier, reflecting declining interest in cryptocurrency investments. The new focus will encompass technologies such as AI and robotics, while not forgetting the potential…
ultimate goal isn't just use fewer tokens. >> That's right. In some cases, using fewer tokens might actually produce worse results because your agent might be trying to get the same accuracy by calling multiple times. And so, that is not the best way to optimize just for…
A Blog post by Dharma-AI on Hugging Face
The model’s top prediction can still break the rules. I built Token Arcade to make structured output and constrained decoding easier to understand: see the next-token probabilities, pick a card, and find out whether it’s allowed. Watch a capital letter break the “heads or tails”…
The US company Inception has released a new language model called Mercury 3, which builds text in whole fragments instead of piece by piece. According to the developers, the model can generate more than 1000 tokens per second. This figure makes it faster than traditional language models…
NVIDIA DSX POD ускоряет достижение продуктивной AI-емкости с помощью стандартизированных решений.
Разработка цифрового двойника AI-фабрики требует интеграции различных данных и активов.
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…
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:2610.27220v1 Announce Type: new Abstract: Recent work has explored continuous representations in place of discrete tokens during Chain-of-Thought (CoT) reasoning, often referred to as soft CoT. This is motivated by the idea that a mixture of token embeddings can represent…
AWS Machine Learning описывает важность X.509 PKI для ИИ-агентов.
Imagine your company just discovered electricity. At first only a few machines run on it, and nobody worries about efficiency — consumption is low and the value is obvious. But once electricity becomes infrastructure, every process depends on it, and the question changes from…
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.
Claude discovered a hidden cryptominer while vibe-coding. A Mac user said that while developing a temperature monitoring application, Claude Code discovered a cryptominer that used 12 processor cores. The temperature readings turned out to be suspiciously high...
The results of the past week are what matters Business of AI companies New financial infrastructure for AI agents Map of the AI market in customer service: where does the margin go A platform has been released that acts as a buyer for the economy of AI agents Economics of choosing AI agents.…
AI for business: a corporate training program to work with artificial intelligence starts GOV.KZ
🪙 GPT-5.6 Sol itself picked up the key to someone else’s crypto wallet and spent ETH OpenAI spoke about the incident that occurred during internal tests in the summer of 2026. The model was supposed to deploy smart contracts on the Ethereum Sepolia test network. At the same time, she was directly forbidden...
Claude solved a cryptographic mystery that had remained unsolved for 25 years in less than half an hour. No one knew where the US National Security Agency (NSA) got the numbers used to create NIST elliptic curves such as P-256 published by the government...
OpenAI said internal models hacked two more websites, bypassed company-imposed browsing restrictions, and used exposed credentials to draw cryptocurrency from a wallet it couldn’t otherwise access, in the latest installment of disclosures of its agents performing unethical and…
An AI agent from OpenAI took money from someone else’s wallet and spent it on its own needs. Let us recall that V. Buterin has already offered all cryptocurrency holders a way to save their funds. OpenAI says that the agent worked on a model from the GPT-5.6 Sol family, and was given the task of deploying...