Danny Hillis was scaling up AI with a massively parallel supercomputer in the 80s. In the 90s we had the data mining explosion, a.k.a. scaling up ML. In the 2000s we had the "big data" boom. And each time we noticed that no, compute etc. is not enough – you really need better
Scaling AI from 80s to 2000s: Compute Not Enough
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