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> The fact that models aren't continually updating seems more like a feature.

I think this is true to some extent: we like our tools to be predictable. But we’ve already made one jump by going from deterministic programs to stochastic models. I am sure the moment a self-evolutive AI shows up that clears the "useful enough" threshold we’ll make that jump as well.

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Stochastic and unpredictability aren't exactly the same. I would claim current LLMs are generally predictable even if it is not as predictable as a deterministic program.

No, but my point is that to some extent we value determinism. By making the jump to stochastic models we already move away from the status quo; further jumps are entirely possible. Depending on use case we can accept more uncertainty if it comes with benefits.

I also don’t think there is a reason to believe that self-learning models must be unpredictable.

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