usually i scroll past these 'LLM optimizes code' posts bc 99% of them are just finding basic peephole optimizations that -O3 wouldve caught anyway. but looking at the conv1d example in the blog, this is actually doing real architectural changes.

the 'dropout' on the optimization menu is a pretty neat hack. kinda reminds me how i work when im stuck... 'ok what if i dont unroll this loop, what else can i do?'. forces the search out of local minima. nice to see an AI tool designed around verification (the simulator loop) rather than just hoping the llm guesses right on the first shot.