Reading up on complexity

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.

Some complex problems require billion-parameter neural-network theories rather than compact symbolic ones because causal understanding isn't always possible—probabilistic simulation suffices.