Both ANNs and brains are (1) highly distributed and parallel (2) make small changes (3) efficient. Ideas like generalization hold for all systems with these three properties. In that sense, @tyrell_turing is obviously right. Maybe @GaryMarcus uses narrow def of abstraction.https://twitter.com/GaryMarcus/status/1200088188934451200 …
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ANNs are not sample efficient they need a ton of data to learn trivial tasks compared to biological NNs.
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What’s the proof of this? It takes a humans years before they can form sentences? How much data is that?
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