Note to everyone - sharing what works leads to complete morons telling you their interpretation... which has no relevance.
Apparently they know better even though
1. They didn't issue the prompt, so they... knew what I was meaning by the phrase (obviously they don't)
2. The LLM/AI took my prompt and interpreted it exactly how I meant it, and behaved exactly how I desired.
3. They then claim that it's about "knowing exactly what's going on" ... even though they didn't and they got it wrong.
This is the advantage of an LLM - if it gets it wrong, you can tell it.. it might persist with an erroneous assumption, but you can tell it to start over (I proved that)
These "humans" however are convinced that only they can be right, despite overwhelming evidence of their stupidity (and that's why they're only JUNIORS in their fields)
There are problems with either approach, because an LLM is not really thinking.
Always starting over and trying to get it all into one single prompt can be much more work, with no better results than iteratively building up a context (which could probably be proven to sometimes result in a "better" result that could not have been achieved otherwise).
Just telling it to "forget everything, let's start over" will have significantly different results than actually starting over. Whether that is sufficient, or even better than alternatives, is entirely dependent on the problem and the context it is supposed to "forget". If your response had been "try just telling it to start over, it might work and be a lot easier than actually starting over" you might have gotten a better reception. Calling everyone morons because your response indicates a degree of misunderstanding how an LLM operates is not helpful.