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The Godmother of AI Wants Everyone to Be a World Builder

Stanford computer scientist Fei-Fei Li is unveiling a startup that aims to teach AI systems deep knowledge of physical reality. Investors are throwing money at it.

Roughly a decade ago, Li helped AI turn a corner by creating ImageNet, a bespoke database of digital images that allowed neural nets to get significantly smarter. “The next decade will be about generating new content that takes computer vision, deep learning, and AI out of the internet world, and gets them embedded in space and time,” says Johnson, who is now an assistant professor at the University of Michigan. Li recounts her determination to defy those, including her colleagues, who doubted it was possible to label and categorize millions of images, with at least 1,000 examples for every one of a sprawling list of categories, from throw pillows to violins.

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