- “Nobody tells the baby that objects are supposed to fall,” said Yann LeCun, the chief AI scientist at Facebook and a professor at NYU…, “a lot of what they learn about the world is through observation.”
- While algorithms based on supervised and reinforcement learning are taught to achieve an objective through human input, unsupervised ones extract patterns in data entirely on their own.
- “Everything we learn as humans—almost everything—is learned through self-supervised learning.
- Ultimately, unsupervised learning will help machines develop a model of the world that can then predict future states of the world, he said. It’s a lofty ambition that has eluded AI research but would open up an entirely new host of capabilities. LeCun is confident: “The next revolution of AI will not be supervised.”
https://www.google.com/amp/s/www.technologyreview.com/s/613954/the-next-ai-revolution-will-come-from-machine-learnings-most-underrated-form/amp/
