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Can AI learn to understand the world?
As the limits of LLMs become clearer, researchers are developing a new kind of AI designed to understand the physical environment: world models.
Recent developments from Google DeepMind, Fei-Fei Li’s World Labs, and Yann LeCun’s new startup have pushed these systems to the forefront of AI. At an exclusive virtual event today, MIT Technology Review will examine the progress—and what comes next.
Join editor in chief Mat Honan, senior AI editor Will Douglas Heaven, and AI reporter Grace Huckins for the subscriber-only Roundtables discussion on world models. Register here to take part in the session at 19:30 GMT / 2:30 PM ET / 11:30 AM PT.
World models are one of our 10 Things That Matter in AI Right Now, MIT Technology Review’s new list of the technologies and ideas shaping the future of AI.
The must-reads
I’ve combed the internet to find you today’s most fun/important/scary/fascinating stories about technology.
1 SpaceX has filed for an IPO expected to be the largest ever
It could make Elon Musk the world’s first trillionaire. (BBC)
+ But he’s also a risk factor in the prospectus. (The Verge)
+ The filing exposes SpaceX’s finances for the first time. (NYT $)
+ AI spending pushed it to a $1.94 billion loss in Q1 2026. (Reuters $)
+ And rivals are challenging its launch dominance. (MIT Technology Review)
2 Nvidia reported record revenues thanks to the AI boom
It’s blown past Wall Street expectations, despite losing the Chinese market. (Guardian)
+ It has “largely conceded” China’s AI chip market to Huawei. (CNBC)
+ It generated no revenue from H200 chip sales in China. (SCMP)
