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Introducing System One Models and Jev

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Re: Introducing System One Models and Jev

#511
post #348

Earlier quoted context omitted.

[flagged]

Judgemental much? GP's first sentence isn't arrogant (at worst displaying a bit of false humility) because it's saying everyone but him doesn't know about a thing he did. Your second quote you apparently mis-parsed because of a minor English error (he should have said "to Python" rather than "in Python"), but to me it was pretty clear what he meant.

> Judgemental much?

Not often, but yeah... I did on this occasion.

Re: Introducing System One Models and Jev

#512

Earlier quoted context omitted.

CEO here - that is right! I do agree that the comparison to LLM tokens is hard to understand (also because output tokens are not comparable). But yes, text or structured state (like a JSON with multiple pieces of text in) -> decisions out (e.g. choice maps to "match" statement, "score" maps to sorting, "noul" short for bernoulli maps to if-statements)

I see this super interestingly as the "subconscious" to the llms "conscious" for lack of better terms. I'm super interested in this for broad and rapid decision making in the context of consumer agents so will be signing up for sure.

I wonder if a good analogy would be, they are trying to tune the “gut feeling” of a model more directly
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