Fei-fei Li on AI public discourse
From World Labs' Fei-Fei Li on Creating Large World Models · · Bloomberg Live
“I really want to point out a lot of this sentiment happens when there is a vacuum of thoughtful public discourse. Right now, the oxygen, the air is all sucked into the polarized extreme of doomism or total utopian. And, well, hype takes all the oxygen in the room. That void brews the kind of anxiety. And it's actually that void we really need to care about, because that's where real people live. That's where real people are seeking answers.”
On , Fei-fei Li, Co-Director at Stanford Institute for Human-Centered AI, spoke about AI public discourse during World Labs' Fei-Fei Li on Creating Large World Models on Bloomberg Live.
About Fei-fei Li
Fei-Fei Li, co-founder and CEO of World Labs and co-director of the Stanford Institute for Human-Centered AI, appeared at Bloomberg Tech 2026 in San Francisco on June 2, 2026. She discussed her company’s focus on spatial intelligence and building a "large world model," which she described as a technology rooted in the evolution of animal intelligence—starting with seeing and moving in the physical world. Li stated that World Labs is working on "one of the most critical technology in the speech of physical intelligence" and expressed hope that the company will ship a model over spatial intelligence this year that will inspire "incredibly exciting product opportunities." Li also commented on industry trends and safety discourse. She said she has been "more measured" on AI safety rhetoric, noting that "there's so much hype" and that the field needs "thoughtfulness to invest in the right effort." Regarding the term AGI, Li said she does not engage with it, adding that she is focused on building technology that can "make a difference in people's lives." She argued that robotics will be "one of the most important revolutions in human industrialization" and that $6 billion in investment is "too small" compared to past investments in self-driving cars and language models. Li also called for changing K-16 education, stating that AI's ability to outperform average humans on standardized tests means "we need to change the education."