Nvidia, Microsoft and Meta are urging U.S. policymakers not to impose early limits on open-weight AI, arguing it would slow competition and adoption.

Coverage tied to Venice (VVV) points to AI-crypto investor interest, but the available evidence is too thin to verify the $1 billion claim or assess fundamentals.

Reuters reports Beijing is considering curbs on overseas access to top Chinese AI models, a move that could reshape AI distribution and compliance.

ByteDance and Alibaba are reportedly disabling some AI agent functions in China, signaling stricter limits on autonomous AI products.

A new benchmark from Tencent Hunyuan and Tsinghua University suggests AI search agents fail on ambiguity, not search itself, limiting real-world reliability.

A thinly sourced report on Philipp Schmid and Google DeepMind highlights rising interest in AI agents but offers too little evidence for firm conclusions.

Ford has rehired 350 experienced engineers after AI and automated systems failed to meet the automaker's manufacturing quality standards.

Goldman Sachs researchers explain why current AI systems lack a fundamental 'world model' and how solving this gap could reshape the entire AI industry.

Stanford's QuantiPhy benchmark demonstrates that current AI models struggle with basic physics reasoning, unable to accurately estimate speed, distance, and object sizes—a major roadblock for autonomous systems and robotics development.

Investment banker argues AI lacks human judgment needed for complex business decisions involving ambiguity, trade-offs, and contextual understanding beyond pattern recognition.