I just built Easy-Jev, a Jev demo anyone can try right now!

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Built Easy-Jev, a live demo where changing inputs updates Jev's classifications in real time.

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I just built Easy-Jev, a Jev demo anyone can try right now!

Change the inputs and watch the classifications change in real time.

I did my master's thesis on classification models so it's fun to see a modernized version of a very useful alg

Typesafe are correct in that LLMs are just one approach to intelligence, and I think as time goes forward we’re going to see a hybrid of dif models splitting up and allocating correct parts of a problem, using less tokens overall and leaning on LLMs for less of the answer.

I’m bullish on what I call 'combination input' approaches: breaking a statement down into a series of classifications and routing each to the right type of model rather than just brute forcing the whole thing with an LLM

cc / @CompleteSkeptic @typesafeai

Link below, please enjoy

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@CompleteSkeptic34.6M views
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After co-inventing ChatGPT, I kept asking myself: why have superhuman chat models not led to AGI? I’ve spent the last 2 years in stealth building a new way to train models (RLCD), and a new type of frontier AI model that we are releasing today: Jev • 20-200x faster • 40-400x

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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