Independent measurement of whether ORDER BY over a Jev probability is defensible, pre-registering gates on pairwise inversion, Score ordinality, calibration, and negation and paraphrase invariants.
MIT-licensed for the harness only. Uses Python and a TypeSafe API key for fresh runs; the ESCI probe has one seed and 30 queries, and 20 Newsgroups carries no explicit license.
An independent baseline that reads typed option probabilities straight from a frozen Qwen3.5-4B's logits in one forward pass, reproducing Jev's interface pattern with open models rather than Jev's undisclosed model or training.
Apache-licensed, locally runnable Jev-style decision models (0.8B, 4B, 9B on Qwen3.5) with released weights, training code, a System One-compatible server, frozen eval suites, and a playground.
An independent open reproduction of the System One model class: Qwen3.5-based 2B and 35B mixture-of-experts models that return typed Choice, Score, and Noul probabilities in one forward pass, with nothing distilled from Jev.
Jev 发布没几天,开源社区已经开始疯狂复刻了🔥
最值得推荐的五个模型:
1、Laya 421M:原生决策模型,支持 Mac
2、Decider-2B:最像 Jev,基于 Qwen3.5
3、NanoJev 0.6B:专门的 Decision Head
4、Reflex:Qwen3.5 + Direct Logits
5、System-One 4B:专门做概率校准Show more
小墨同学
@xiaomovps
Jev 刚发布没几天,开源社区就出现了同款🔥
Decider-2B模型,是基于 Qwen3.5-2B 做了特殊调整
它和 Jev 模型是一样的 只做选择 评分和判断 不是文本类的 LLM 模型
但两者还是有几个明显区别:
1、模型
Jev:闭源 System One Model
Decider:Qwen3.5-2B,约 1.9B 参数,Apache 2.0 开源
2、价格
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
• 40-400xShow more
I built a trading bot with Jev!
Jev decides if it should "buy" or "sell", given the price feed of an asset pair, and executes real trades.
It uses Monad to place the orders on Kuru's on-chain order book in every 300ms block.
Demo link → jev-trader.vercel.app
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
we built blazing fast computer/browser use with Jev + @Stagehanddev.
this task cost $0.001 and executed at near instant speed (in a remote browser btw)
the loop: observe the page, send a11y tree as state + actions as questions, Jev decides the next action, then StagehandShow more
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
Jev has spoken.
It picked which model is AGI.
20–200x faster. 40–400x cheaper. This could make things like LLM-as-a-judge insanely fast and nearly free.
(I tried a bunch of prompts and still didn’t burn through $0.10.)
Diogo Almeida
@CompleteSkeptic
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