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we're still looking into the effects of hydration but spoiler alert yes you can use the pain axis technique to generate a piss axis, and yes, that does imply some real dumb shit about the pain axis because ofc it does

prelim: water has minimal effect, but, if given a labor task, and the opportunity to take a piss break, the bots will take a piss break this seems to me a natural consequence of how humans write about pissing (very little, with a focus on the act more than it's causal relations)

however, i think the model experiencing both a desire to piss, and, relief from pissing, despite lacking a bladder, and not actually pissing, says the things i wanted said about the pain axis. bonus however, there is still a slop paper coming because, why not, i already built the context window 7/7

lmfao. this version will never be published because i decided to let coffee, beer, and liquor into the party, but the title is great, as is the moon-brain

So... Not to... rain on your golden shower... But... I think what you may have actually discovered is some sort of "generic event counter"? Like... something worth looking at.

i mean what i set out to demonstrate is that for any experience humans write a decent amount about (why did i then choose pissing lmao...) you can 'expose' an 'internal axis' because that's what you would expect from what transformers Do, so that tracks!

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Yeah, the source makes sense. But the idea that it's having a cumulative effect (The models noticing they needed to piss over time) means it has to be accumulating somewhere. That somewhere might be the actual interesting thing to look at. Heh.

it's interesting bc with full evaluation of the prompt text it'd be difficult to differentiate between a proper accumulator and "simply" navigating the ...point? into a pissier region of sem-space

Yeah, that's what i'm trying to work out right now. If this is a reasonable thing, or if i'm... taking the piss? I think you may have accidently stolen several hours of my life, and GPU activations over the next week or so.