3 ms·

Good joke, but the reality is they falter even more on truly greenfield projects. See: https://news.ycombinator.com/item?id=42134602 https://news.ycombinator.c

• MrMcCall 2y ago
  That is because, by definition, their models are based upon the past. And woe unto thee if that training data was not pristine. Error propagation is a feature; it's a part of the design, unless one is suuuuper careful. As some have said, "Fools rush in."
  • Terr_ 2y ago
    Or, in comic form: https://www.smbc-comics.com/comic/rise-of-the-machines https://www.smbc-comics.com/comic/rise-of-the-machines
• anthonyskipper 2y ago
  I agree with this. But the reason is that AI does better the more constrained it is, and existing codebases come with constraints. That said, if you are using Gen AI without a advanced rag system feeding it lots of constraints and patterns/templates I wish you luck.