Learning Without Backpopagation

The problem with GA is that it's just so damned inefficient.

I considered using it on codebases as an outer loop to make LLM vibecoding-optimization loops more reliable, but imho it's a lost cause because the massive compute you need to simulating a useful population size can easily be spent on something else instead, such as just running more agents to enforce better engineering patterns and fix bugs in the first place.