TypeSafe 发布 Jev：不生成文本的决策模型
Jev 接收状态和带类型的问题，直接返回可分支的决策与概率，三个原语 Choice/Score/Noul，已上 Vercel AI Gateway。
TypeSafe AI released Jev, a model from an RLHF (reinforcement learning from human feedback) co-inventor that does not generate text. You send it state and typed questions. It returns decisions with probabilities your code can branch on, so there is nothing to parse. - Founder Diogo Almeida co-invented RLHF at OpenAI - $40M seed round led by DCVC - 3 primitives: Choice, Score, Noul - Every question in a request scored in parallel - $0.042 per 1M input tokens, output tokens free - 70ms to 500ms end to end, vendor reported - 0.114s vs 8.566s in TypeSafe's own recorded demo - Vercel: up to 18x faster than GPT Luna, p95 - Listed on Vercel AI Gateway as typesafe-ai/jev Confidence is the product. Your code sets the threshold where automation stops and a human takes over. The 193.6x faster and 444.6x cheaper claims come from TypeSafe's own evals, not independent tests. Read the full analysis: https://www.marktechpost.com/2026/09/19/typesafe-ai-releases-jev/ Technical details: https://typesafe.ai/blog/introducing-system-one-models-and-jev Join the waitlist: https://typesafe.ai/ @typesafeai