General
The article documents llms.py v3 release notes, highlighting open-source extensibility, 530+ models from 24 providers via models.dev, a redesigned Model Selector, and a robust Extensions system. It also introduces Gemini RAG, MCP support, and first-class tool integration, along with comprehensive CLI/GUI capabilities, persistence, and an ecosystem for community extensions, enabling advanced automation and data-grounded AI workflows for businesses.
Paul Kinlan's AI Focus piece argues that the browser sandbox could enable agentic AI and client-side automation, demonstrated via Co-do, a browser-based AI-powered file manager. It…
The Conversation article explains how filming ICE is legal but increases digital exposure through facial recognition, location data, and data brokers. It provides practical safety …
The EU has opened an investigation into Elon Musk's X over Grok AI's potential to generate sexualized deepfakes, with possible penalties under the Digital Services Act. The piece a…
Ben Thompson analyzes the risk to the AI hardware ecosystem from TSMC's capital expenditure decisions and the resulting supply constraints. He coins the idea of a 'TSMC brake' and …