Here's a 45-second TL;DR on Jev.
Recorded a 45-second explainer on Jev's core idea after finding existing coverage hard to follow.
The original post
Here's a 45-second TL;DR on Jev.
I find the core idea beautifully simple, but the video made it really hard to understand.
Hope you find it helpful.
Quoted post
@CompleteSkeptic34.6M viewssourceAfter 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
From the same thread
- @GoSailGlobal — 关于 Jev 的 45 秒视频 核心理念其实非常简单优美 不止于game、trade 在速度、文本理解、排序的基础上可以衍生出很多:
- @zhodonx — This Lab is changing everything we know about how AI is being built into software. I got a chance to look into TypeFace’s new model, Jev, and I genuinely think these guys are onto something
- @NorthstarBrain — 1 useful AI thing today: Jev because ChatGPT's co-inventor just shipped an AI that refuses to write a single word Jev, it just decides You don't talk to it, you hand it a message, a ticket, or a
- @tadle_com — A video reflecting the core idea about the JEV model. It might not be obvious right off the bat, but all the decision-making procedures have been packed into Tadle's later-revealed reasoning.
Engagement when collected
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 video, animation & media. 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 video, animation & media page.
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Last updated: 2026-09-22 · sources & corrections · every card links to its author's original post