Anything nature shaped can be learned efficiently by a classical neural network, because evolutionary processes leave structure behind.

Added to korrents 23 Jul 2025 · How quotes work · Something wrong? Tell us

Related korrents

Our reading — they may agree, disagree or merely touch the same thing. Closest first: a shared subject counts for most, then how near the wording is.

• The knowledge a model soaks up in pre-training is holding it back; what we actually want is the intelligence with the knowledge stripped out. AKAndrej Karpathy17 Oct 2025similar wording
• The adult brain's stock of neurons is essentially fixed, and that is no limit on learning, because plasticity is the changing of connections between the cells you already have. TWTommy Wood20 Jul 2026similar wording
• Biology keeps turning up whole classes of things nobody knew existed, and that is what defeats attempts to model it. DLDerek Lowe19 Sept 2024similar wording
• Emergent abilities come from generalisation turning compositional, not merely from a training set containing a lot of stuff. SLSergey Levine12 Sept 2025similar wording
• That people are good at maths and coding, which evolution never selected for, shows human learning is not a complicated evolutionary prior but something more fundamental. ISIlya Sutskever25 Nov 2025similar wording

See this on the map →