Musk vs. Altman, AI Warfare Glasses, and Google I/O
▼ Summary
– Google’s coding tools have lagged behind Anthropic’s Claude Code and OpenAI’s Codex, but the company still leads in AI for science and aims to prove its competitiveness at I/O this week.
– Researchers are developing “world models,” a new type of AI designed to understand physical environments, as the limitations of large language models become clearer.
– Recent advances in world models come from Google DeepMind, Fei-Fei Li’s World Labs, and Yann LeCun’s startup, pushing the technology to the forefront of AI.
– MIT Technology Review will host an exclusive virtual Roundtables discussion on world models on Thursday, May 21, featuring editor in chief Mat Honan and other AI experts.
– World models are identified as one of the “10 Things That Matter in AI Right Now,” a guide to key technologies shaping AI’s future.
A foundation model’s reputation increasingly hinges on how well it writes code, and for months, Google’s coding tools have trailed behind Anthropic’s Claude Code and OpenAI’s Codex. Yet the company still defines the cutting edge in other fields, particularly AI for science. At Google I/O this week, the tech giant will aim to prove it can excel on both fronts.
I’ll be in Mountain View to see what unfolds. Here are three key developments to watch closely.
,Grace Huckins
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Can AI learn to understand the world?
As the limitations of large language models become more apparent, researchers are building a new class of AI designed to grasp the physical environment: world models.
Recent breakthroughs from Google DeepMind, Fei-Fei Li’s World Labs, and Yann LeCun’s new startup have pushed these systems into the spotlight. At an upcoming virtual event, MIT Technology Review will explore the progress made and what lies ahead.
On Thursday, May 21, editor in chief Mat Honan, senior AI editor Will Douglas Heaven, and AI reporter Grace Huckins will host an exclusive Roundtables discussion on world models. Register here to join the session at 19:30 GMT / 2:30 PM ET / 11:30 AM PT.
World models are among our 10 Things That Matter in AI Right Now, a guide to the technologies and ideas shaping the future of artificial intelligence.
(Source: MIT Technology Review)
