The Jev model that came out yesterday Suitable for
Used Jev to play Slay the Spire 2, where each move decision took 0.7 seconds versus a slower GPT-6 Astra agent.
The original post, translated
The Jev model that came out yesterday
Suitable for high-frequency decision-making, so wouldn't that mean it's also suitable for gaming?
Previously used GPT-6 Astra to play Slay the Spire 2 on my behalf
Strong capability but slow speed.
I just tested playing with Jev, action thinking only takes 0.7 seconds,
I couldn't even see the screen clearly before it finished the operation.
This superhuman gaming speed,
Really shocked me into sitting paralyzed again😅
Language is hard to describe this feeling, watch the video⬇️
Show the original post in its source language ▾
昨天出的 Jev 模型
适合高频决策,那岂不又是适合打游戏?
之前用 GPT-6 Astra 代打杀戮尖塔2
能力强但速度慢。
我刚实测用 Jev 打,行动思考只需 0.7秒,
画面我都没看清它就操作完了。
这超人类游戏速度,
着实又让我震惊瘫坐了😅
语言很难描述这感觉,看视频⬇️
The post above is a machine translation from zh; the untranslated text is in the fold-out.
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
What the author linked
- typesafe.ai
- Home - TypeSafe AI — TypeSafe AI is an AI lab building machine-native intelligence infrastructure for automation, designed to make decisions within software. Try our
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 general Jev builds. 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. Browse the full case library for the work it sits next to.
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Last updated: 2026-09-22 · sources & corrections · every card links to its author's original post