Billion-Parameter Theorieskept by eddie • mar 11Some complex problems require billion-parameter neural-network theories rather than compact symbolic ones because causal understanding isn't always possible—probabilistic simulation suffices.AboutSanta Fe Institute · ChomskyFiled#ai-research#complexity#machine-learning#philosophy-of-science#scientific-modelingRelated</> htmx ~ Code is Cheap(er)Carson Gross argues that as AI makes code cheap to produce, understanding code becomes the expensive and scarce resource, urging a subtractive engineering mindset to control complexity.also on #complexity