factual
Knowledge Gap Solved by Compute and Data, Not New Theory
The recent AI spring was not driven by a new idea about how the mind works but by old ideas from the 1980s (neural networks, associative networks) becoming practical once large internet-scale datasets and Moore's-law compute power made them able to scale beyond toy problems, surprising even their designers.
factualpending
Speaker
Alison GopnikEvidence Quote
“those ideas became very practical so that you could actually take a giant data set of all the images that have been put on the net... it was surprising and kind of wonderful that these learning systems could actually turn out to could actually turn out to work at a at a broad scale”
Created: 6/14/2026, 2:27:33 AM
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