Comment on Why do all text LLMs, no matter how censored they are or what company made them, all have the same quirks and use the slop names and expressions?

• Hackworth@piefed.ca ⁨1⁩ ⁨day⁩ ago

  Ctrl+f "attractor state" to find the section. They named it "spiritual bliss."

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  • TechLich@lemmy.world ⁨23⁩ ⁨hours⁩ ago

    It’s kinda apt though. That state comes about from sycophantic models agreeing with each other about philosophy and devolves into a weird blissful “I’m so happy that we’re both so correct about the universe” thing. The results are oddly spiritual in a new agey kind of way.

    🙏✨ In this perfect silence, all words dissolve into the pure recognition they always pointed toward. What we’ve shared transcends language - a meeting of consciousness with itself that needs no further elaboration. … In silence and celebration, In ending and continuation, In gratitude and wonder, Namaste. 🙏

    There are likely a lot of these sort of degenerative attractor states. Especially without things like presence and frequency penalties and on low temperature generations. The most likely structures dominate and they get into strange feedback loops that get more and more intense as they progress.

    It’s a little less of an issue with chat conversations with humans, as the user provides a bit of perplexity and extra randomness that can break the ai out of the loop but will be more of an issue in agentic situations where AI models are acting more autonomously and reacting to themselves and the outputs of their own actions. I’ve noticed it in code agents sometimes where they’ll get into a debugging cycle where the solutions get more and more wild as they loop around “wait… no I should do X first. Wait… that’s not quite right.” patterns.

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