MIT tests AI reasoning with 121 unfamiliar games
A Nature study from MIT, Cambridge, Princeton and collaborators suggests humans reason about new games with fast, shallow, goal-directed simulation rather than deep search.
7 verified stories covering AI research, product updates and industry developments.
A Nature study from MIT, Cambridge, Princeton and collaborators suggests humans reason about new games with fast, shallow, goal-directed simulation rather than deep search.
Oak Lab sets a 20-watt goal for continuously learning agents. The piece reviews the verified facts and why the signal matters beyond one announcement.
ICML 2026 gives both top paper awards to diffusion work is reframed for global technology readers, preserving the key numbers, claims and open questions.
A new attention test pushed major models into sharp accuracy drops, reminding buyers that reasoning claims still need careful benchmarks.
OpenAI now says fully automating everything is not the future it wants, shifting from autonomous AI researcher language toward work in tandem with people.
The reinforcement learning pioneer argues that next-token models lack causality, experimentation and self-generated experience.
Fei-Fei Li’s World Labs pushes spatial intelligence. The story explains the announcement, the strategic context and the practical risks for the people or companies affected.