Jev case: After co-inventing ChatGPT, I kept asking myself
Released Jev after two years in stealth, positioning typed decision outputs as the path from chat models to economic impact.
The original post
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 cheaper (w/ output tokens free)
• Frontier composable intelligence optimized for decisions
AFAICT the shortest path to AI-based economic revolution
From the same thread
- @oragnes — 卧槽,今天 AI 圈最火的模型,应该就是 JEV 了。 现在所有大模型都在拼更会说话、更会写、更像人,JEV 直接反着来,它根本不生成文字,只负责做判断和决策。 我已经迫不及待用JEV帮我决策自动交易股票和加密货币了😂 官方给的数据非常夸张:20—200 倍更快,40—400 倍更便宜,输入每百万 Token 只要 0.042 美元,输出 Token 直接免费。 我们今天用
- @ziwenxu_ — Jev plays doom in realtime and it looks like an actual player. their numbers: 20 to 200x faster, 40 to 400x cheaper, output tokens free. Two things we might see now: - the opponent we're up against
- @masahirochaen — ChatGPTにつながるRLHF研究の主要メンバーが、2年のステルスを経て新型AI「Jev」を発表。 RLHFは簡単に言うと、人間の評価を使って「人にとって自然で役立つ回答」をするようLLMを調整する手法。ChatGPTが今の会話型AIになった重要な技術の1つです。 今回のJevはその発想を「会話」ではなく「自動化の中の判断」に振っている。 ・開発元はTypeSafe AI
- @DataChaz — THE GUY WHO CO-INVENTED CHATGPT JUST DROPPED A NEW MODEL THAT REFUSES TO CHAT Diogo Almeida helped build RLHF at OpenAI. Now he thinks generating text is a massive bottleneck for agentic workflows.
- @RoundtableSpace — A ChatGPT co-inventor just released Jev after 2 years in stealth, a new frontier AI model that is 20 to 200x faster and 40 to 400x cheaper with output tokens free, optimized for decisions rather than
- @NFT_Chen — 🤯Jev模型游戏实测太离谱了,直接把“实时决策”这件事干穿了! 不是聊天模型,是专为高频决策设计的System One: 1️⃣实时打Doom,每秒约10次决策,1小时成本才$7 2️⃣Minecraft实测:2分钟自动生存只要1分钱,夜间自己躲僵尸,零额外提示 3️⃣延迟70-500ms,一次前向传播就能并行回答多个问题 4️⃣价格$0.042/百万输入token,输出几乎免费
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