Pinned
Cadence TL;DR: Can LLMs evolve better solutions for NP-Hard problems like TSP?
I tested:
> Can they design better approximations over time?
> Can small runs reveal scaling trends?
LLM-generated diffs, evals, lessons, feedback - full breakdown 👇








