LLMs do learn from mistakes. Not as directly from individual mistakes like humans do, but in aggregate the models have improved much more in the last year than most humans I know learn in the same time.

I don't like the reframing of 'learning from mistakes' from a human-like, near instantaneous feedback loop, to a year-long process of retraining on many traces collected from user data. They're different concepts and we should refer to them using different phrasing.

How many more times do I have to add variations of ”do not run any commands for the application without first entering the running container at `docker compose …`” to my AGENTS.md before it learns that node and phpunit is not available outside these containers?