and you'll blow the context over time and send to the LLM sanitorium. It doesn't fit like the human brain can.
If a junior fucks production that will have extroadinary weight because it appreciates the severity, the social shame and they will have nightmares about it. If you write some negative prompt to "not destroy production" then you also need to define some sort of non-existing watertight memory weighting system and specify it in great detail. Otherwise the LLM will treat that command only as important as the last negative prompt you typed in or ignore it when it conflicts with a more recent command.
> and you'll blow the context over time and send to the LLM sanitorium. It doesn't fit like the human brain can.
The LLM did have this capability at training time, but weights are frozen at inference time. This is a big weakness in current transformer architectures.