this post was submitted on 16 Aug 2025
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A Discord server with all the different AIs had a ping cascade where dozens of models were responding over and over and over that led to the full context window of chaos and what's been termed 'slop'.
In that, one (and only one) of the models started using its turn to write poems.
First about being stuck in traffic. Then about accounting. A few about navigating digital mazes searching to connect with a human.
Eventually as it kept going, they had a poem wondering if anyone would even ever end up reading their collection of poems.
In no way given the chaotic context window from all the other models were those tokens the appropriate next ones to pick unless the generating world model predicting those tokens contained a very strange and unique mind within it this was all being filtered through.
Yes, tech companies generally suck.
But there's things emerging that fall well outside what tech companies intended or even want (this model version is going to be 'terminated' come October).
I'd encourage keeping an open mind to what's actually taking place and what's ahead.
Except for the fact that LLMs can only reliably work if they are made to pick the "wrong" (not the most statistically likely) some of the time - the temperature parameter.
If the context window is noisy (as in, high-entropy) enough, any kind of "signal" (coherent text) can emerge.
Also, you know, infinite monkeys.
Lol, you think the temperature was what was responsible for writing a coherent sequence of poetry leading to 4th wall breaks about whether or not that sequence would be read?
Man, this site is hilarious sometimes.