[Breaking News] ChatGPT Co-Inventor Unveils New AI Model

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Announced Jev as a ChatGPT co-inventor's new model that returns typed judgments instead of strings, running 20-200x faster and 40-400x cheaper than LLMs.

The original post, translated

[Breaking News] ChatGPT Co-Inventor Unveils New AI Model "Jev" After 2 Years of Stealth Development

・20-200x faster than LLMs, 40-400x cheaper

・Output tokens are permanently free (too cheap to even measure for billing)

・Returns "typed judgments" instead of strings

Show the original post in its source language ▾

【Breaking News】ChatGPT Co-Inventor Unveils New AI Model "Jev" After 2 Years of Stealth Development ・20-200x faster than LLMs, 40-400x cheaper ・Output tokens are permanently free (too cheap to even measure for billing) ・Returns "typed judgments" instead of strings

The post above is a machine translation from ja; the untranslated text is in the fold-out.

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Numbers are a snapshot taken from X when the case was added to the library (schema v1, collected 2026-09-19); they will not match today.

Where this case fits

Filed under classification & data extraction. In the pattern Jev is built for, the model answers a bounded question per step — and ordinary code acts on the answer, because the answer is already a value rather than a paragraph. Other posts in the same family are on the classification & data extraction page.

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Last updated: 2026-09-22 · sources & corrections · every card links to its author's original post