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jevVIDEO

Building an LLM from first principles with 29 Jev yes/no questions

The author breaks character-by-character generation into 29 yes/no classification questions, using Jev as the classifier in an autoregressive loop that produces a text-continuation model.

vogel
@ryanvogelArchived 2026.09.17Originally posted 2026.09.16
vogel @ryanvogelOriginally posted 2026.09.16
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i made an llm from first principles with Jev 29 yes/no questions per character: should the next key be a–z, space, comma, or period? highest probability gets append to it, then fed the updated text back in & repeat an autoregressive loop made out of a classifier

This post quotes another post: “ChatGPT co-inventor releases Jev, a model built for decisions rather than text”

x.com/ryanvogel/status/2100218045549412499Archived 2026.09.17 13:19