Researcher argues humans latently solve calculus like deep nets do
jd_pressman · x · 2026-10-10
AI researcher jdpressman argues humans share deep nets' inductive bias: we almost certainly latently solve calculus problems in our own "local weights" all the time — it just took a genius like Newton to make it explicit. He adds a counterintuitive observation: deep nets don't search hypothesis space low-complexity-first as Solomonoff reasoning implies; they seem to start from very high-complexity "hypotheses" and boil them down to simplicity.
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