2. This is the article: https://www.sciencemag.org/news/2020/11/game-has-changed-ai-triumphs-solving-protein-structures
3. An AI is only as powerful as it’s ability to act in the real world.
4. It cannot act in the real world without a model of the real world.
5. Current AI has no real world model, and so can’t LEARN w/o massive precompiled data.
Source date (UTC): 2020-11-30 19:00:32 UTC
Original post: https://twitter.com/i/web/status/1333486085108797446
Replying to: https://twitter.com/i/web/status/1333486081896050689
IN REPLY TO:
Unknown author
1. I want to use this article on AI solving the protein problem (what I consider closest to physics problem) to illustrate where AI is useful, and why it’s weak: because hard problems are rarely computational. Instead hard problems require a lot of experiments before computation.
Original post: https://x.com/i/web/status/1333486081896050689
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