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Self-Supervised Learning and Foundation Models (www.futureofai.mit.edu) similar stories update story
35 points by rgabrielsson | karma 17 | avg karma 5.67 2023-02-12 14:04:42 | hide | past | favorite | 6 comments



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It's nice MIT offers lectures like this and the gilbert strands lectures. Any other ML/Math related lectures recomended?

The classic 6.034 of [Classic] Artificial Intelligence from the late Prof. Patrick Winston is "mandatory".

One trend I'm seeing: I think the math that is becoming more useful, if huge foundation models are taking over, is around comparing and understanding their embedding/latent spaces. Geometry, topology, optimal transport, alignment -- in favor of statistics and probability theory

I preferred the alternative title: "What happens when you pour gasoline on your own bias"

haha future will tell! :D

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