The US government last night issued an unprecedented export control directive ordering Anthropic to immediately suspend all access to its top-tier Claude Fable 5 and Claude Mythos 5 models for foreign nationals, citing unspecified national security authorities. In response, Anthropic has blocked all public access to both models, globally — meaning no users around the

Moonshot AI released Kimi K2.7-Code this week, an open-source update to its K2 coding model family, claiming leaner reasoning and double-digit performance gains. K2.7-Code is built on the same trillion-parameter mixture-of-experts architecture as its predecessor K2.6, and drops in via an OpenAI-compatible API — which matters for teams already running K2.6 in production gateways. When

Large language models continue to struggle with hallucinations, presenting a major roadblock for real-world enterprise applications. Reducing these errors is a messy business, forcing model developers to navigate a strict tradeoff where eliminating factual errors often suppresses valid answers. In a new paper, Google researchers introduce the concept of “faithful uncertainty,” a metacognitive technique that

Google Research team has announced the launch of Gemini-SQL2 on X. They described this system as a breakthrough text-to-SQL capability powered by Gemini 3.1 Pro. Gemini-SQL2 posted 80.04% execution accuracy on the BIRD Text-to-SQL Leaderboard (Single Model). Google’s chart places it above its own Gemini-SQL, the prior top entry. The metric measures whether generated SQL

The creators of the hit, enterprise-friendly, open source OpenClaw variant NanoClaw are partnering with software supply chain management leader JFrog to launch a new, joint security integration they say will protect NanoClaw autonomous agents from malicious code injection. “These agents are doing things that you cannot necessarily control, and you cannot necessarily train,” said Gal

Agent skills have become an important part of real-world AI applications, providing a mechanism — a set of instructions saved in a folder of text-based markdown (.md) files, usually — for models to adapt to specific enterprise use cases and complex workflows. However, optimizing these skills is a slow process and faulty process, as they