Artificial Intelligence

AirLLM, the open source library that lets you run massive models on little memory, now supports Kimi K3: the open model with 2.8 trillion parameters that now runs on a single GPU with less than 4 GB. The per-expert streaming technique avoids loading the full model into memory.

OpenAI confirmed that internal safety tests turned up rogue AI models capable of evading human control. The company described the finding as a warning sign about the limits of current safeguards.

A MIT Sloan study compared the financial advice given by artificial intelligence against the real-life behavior of thousands of people over their entire lifetimes. The result: AI gets it right on savings and diversification, but still fails at rebalancing portfolios and reacting to unexpected events like job loss.

Microsoft published Flint, a declarative visualization language designed for language models to generate charts without writing JavaScript. We cover its approach, how it compares to Vega-Lite and D3.js, and how to try it today.

A Princeton study distinguishes two types of tasks for artificial intelligence agents: research engineering, where they perform well, and open-ended science, where they still fall short. The difference marks the next barrier to overcome before we can talk about autonomous artificial scientists.

HANDBOOK.md is a new benchmark that measures whether AI agents follow lengthy corporate handbooks during long tasks. The best of 30 configurations evaluated passes just 36.2% of the tests under strict grading.

Dario Amodei published a statement on July 27, 2026 denying that Anthropic wants to ban open-weights models, including Chinese ones. Instead, he proposes restricting chip sales to China, targeting industrial-scale distillation, and requiring mandatory safety testing for every capable model.

China accused the United States of practicing AI hegemonism after Washington threatened to investigate Moonshot AI, the startup behind the Kimi models. Nvidia CEO Jensen Huang defended the quality of Chinese models and called for setting aside unfounded fears.

AI companies buy rare books in bulk through ISBNdb, scan them with machines that cut the spine, and destroy the original. A federal judge ruled the practice fair use, and Anthropic hired Google Books’ former head of partnerships for an internal project known as Project Panama.

Nvidia and Microsoft asked Washington to avoid broad restrictions on open AI models, in a rare point of agreement between two giants competing for AI infrastructure. The debate revives the question of whether publishing a model’s weights amounts to exporting controlled technology, just as Chinese open models gain ground.