Anti-LLM Sentiment Considered Harmful

hasufell: > I guess it depends how you measure performance. I typically measure these things in problems solved. Hard to get an exact and fair measurement of, but easy to get an intuition of. Bugs, errors, crashes that existed for years are now all getting fixed at a much higher rate because solving problems is much easier with the help of LLMs. I effectively spend my time iterating on the quality of the solution. The result both faster problem solving, and higher quality code than if I were to do it manually. dandart: > By all means, use something like AllenAI with open weights. Just not things like ChatGPT. This comes across to me more like a demand than as advice. My philosophy here is that I will use whatever tool helps me solve problems most effectively, up to a high engineering standard that I am willing to stand for, at an affordable cost. That is the choice I make for myself. The GPT models in particular are at quite an effective cost to value ratio here (judging by the GitHub copilot multipliers that I work with). I’ve also worked with the opencode Zen models for my personal projects. They actually have some (currently) free models that also did quite well for what I needed (the GHC PR)