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Home / Technology / AI 'Godmother' built future on dry cleaning skills

AI 'Godmother' built future on dry cleaning skills

24 Nov

•

Summary

  • Fei-Fei Li worked in her family's dry cleaning business for seven years.
  • She credits her immigrant experience for teaching resilience.
  • Li is now pioneering 'world models' in AI at World Labs.
AI 'Godmother' built future on dry cleaning skills

Fei-Fei Li, a prominent Stanford professor and a leading figure in artificial intelligence, built a significant part of her foundation while working in her family's dry cleaning business. For seven years, Li managed the shop, an experience she says taught her invaluable lessons in resilience. This resilience, honed through both her business and immigrant background, has been central to her groundbreaking scientific endeavors.

Her early career involved immigrating from China and helping her parents make ends meet by running their shop in Parsippany, New Jersey. Li managed customer relations, billing, and inspections, which she describes as essential training. She later pursued higher education, first at Princeton and then Caltech, continuing to manage the business remotely.

Now, as the founder of the AI startup World Labs, Li is focused on developing 'world models.' These advanced AI systems aim to understand and interact with the world, building upon the visual intelligence concepts she pioneered with ImageNet. Li believes these models represent the next frontier in the AI revolution.

Disclaimer: This story has been auto-aggregated and auto-summarised by a computer program. This story has not been edited or created by the Feedzop team.
Fei-Fei Li is a Stanford professor and computer scientist, often called the 'Godmother of AI,' famous for her work on ImageNet, a large dataset for computer vision.
World Labs is a one-year-old AI startup founded by Fei-Fei Li, currently valued at over $1 billion, focused on developing 'world models' for AI.
Fei-Fei Li credits running her family's dry cleaning business for seven years with teaching her resilience, a trait she finds essential for scientific research.

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