What Fei-Fei Li thinks about robotics
Sequoia Professor of Computer Science at Stanford, co-director of the Stanford Institute for Human-Centered AI, and co-founder and CEO of World Labs.
Fei-Fei Li did not write this page.
We collected these quotes from things they published elsewhere, and every quote links to where it was said. They have no account here and have not endorsed this site. Quotes are word for word; the short line under each one is our own restatement, not their wording. Their own site. Is this you? Claim it or ask us to remove it. Or tell us what is wrong here.
3 dated positions, 2026, in their own words. Our reading of what Fei-Fei Li has said — not written or endorsed by them.
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Our readingThe biggest problem in robotics today is data, not chips; chips become the bottleneck later.
Their wordsWe should zoom out and recognize the biggest problem right now in robotics is actually data. One day it'll be chips, but for now it's data.
↗Why Fei-Fei Li Is Betting on Spatial Intelligenceyoutube.com 8th of 13 in this recording
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Their wordsThere is also a very important step called randomization. Is that you have to take the same environment and then randomize the conditions. So, the cable doesn't literally only, you know, uh bend this way. It can bend a different way or the box can have different sizes, colors, different lids, and all that.
↗Why Fei-Fei Li Is Betting on Spatial Intelligenceyoutube.com 9th of 13 in this recording
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Their wordscuz we don't yet have a a frontier foundation model that's robust enough for for uh robotics.
↗Why Fei-Fei Li Is Betting on Spatial Intelligenceyoutube.com 10th of 13 in this recording