alt Hacker NewsRight, this is why I would slam the breaks on investing into your workflow all of your time and effort, because 2 months from now it may be out the window. Frontier models are also constantly being tweaked, so what worked yesterday may be off today.
ChatGPT was obedient with the grill-me technique, just wrote a plan. Yesterday it started jumping to implementation. Why?
I find that when an LLM jumps into tasks it was not told to do (or even worse, doing things it was explicitly told not to), it is a good sign the context is too full, and you should do a controlled hand-off to a new instance.