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> The biggest lesson that can be read from 70 years of AI research is that general methods that leverage computation are ultimately the most effective, and by a large margin.

So, in the long run, we'll just throw more and more hardware at AI, forever.

> The second general point to be learned from the bitter lesson is that the actual contents of minds are tremendously, irredeemably complex... we should build in only the meta-methods that can find and capture this arbitrary complexity.

So AI will permanently involve throwing a ton of compute at a ton of data.

I guess it's time to buy stock in computer hardware manufacturers.




We've been throwing more compute at our problems for what, 80 years?


Yeah. Longer if you include non-silicon/germanium computers [0].

The approach seems to continue to work.

[0] https://en.wikipedia.org/wiki/Computer_(occupation)




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