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Shit like this:
Every layer that reports back says yes. Only the inbox says no.Is so fucking annoying. Why does it write this way? Is it trained to be a jackass, or does that just come naturally through the process?
I suspect it is model collapse. Too much synthetic data to steer it into useful activities. I am struggling with this on a personal project at the moment where I am trying to rip out all of the LLM-ese. I have a 31 point list of faults and an entire rubric for the clanker to follow in an attempt to mitigate the LLM-ese register. It still fails on the regular.