Replying to @⁨eicker@lemmy.world⁩

What I wonder is: how long before “bot speak” becomes unintelligible to humans.

Already: AI slop is so voluminous, redundantly repetitive, thoroughly complete that it defies complete comprehension due to soporific effects.

LLM agents are writing English (or Spanish, or Chinese, Hindi, whatever… and I wonder which they’re “best” at) documents, ostensibly for human review and consumption, but 90%+ of what I have my LLM agents write is exclusively consumed by other agents, and I’m constantly encouraging them to make their writings more easily comprehended and accessed by other agents - it seems like the English translation is pretty useless for that layer - what would a token stream look like instead?

Replying to @⁨gandalf_der_13te@feddit.org⁩

Example of something I had to lookup to understand: (/hj)

Back when I was in school, Autism was a 1/10,000 Dx. 20 years ago it was crashing down from 1/100 to 1/50, checking now… 1/31 today. They’ve lumped so much into the Autism diagnosis that it’s meaningless anymore; it covers so many varied conditions and severities, and the stereotypes don’t fit most recipients of the Dx anymore.

Replying to @⁨MangoCats@feddit.it⁩

LLM agents are writing English (…) documents, ostensibly for human review and consumption, but 90%+ of what I have my LLM agents write is exclusively consumed by other agents, … and accessed by other agents - it seems like the English translation is pretty useless for that layer …

But remember, the LLM is trained on human language. It doesn’t understand what it is talking about, it just simulates humans talking about it. I don’t think there is a more fundamental token stream there to be uncovered.