#TypeSafe AI
一个挺有意思的行业观察：TypeSafe AI 想推 System One Models 这个词，结果没人用，大家把 Jev 叫 decision model。
TypeSafe AI 的 Jev 1.14 上线了图像输入和边界框类型，上下文可选开到 262k，价格也便宜，做视觉任务的可以试试。
微软用Qwen3.5-9B做了个决策打分模型，谷歌Gemini 4的Carbon检查点据说编码追平Opus 5.5，还有Anthropic智能体闯祸被断网。
一家 20 人团队做的决策模型 Jev，上线几天就有 100 万用户，三分之一的财富 500 强在用，a16z 领投 8.7 亿美元，还已经盈利了。
a16z 聊了 token 降价会怎么改变软件形态，TypeSafe AI 的创始人说要把 AI 从聊天框变成真正写软件的角色。
TypeSafe AI创始人分析为何传统SaaS公司比AI原生公司更有优势，解释了'反向SaaSpocalypse'现象。
TypeSafe AI 上线三周就拿下财富 500 近三成客户，融资来自 a16z。这期视频里创始人聊了 Jev 这名字的由来，还有廉价算力会怎么改写软件开发。
有公司发布了只返回概率数字的 Jev 模型，有人拿它做了语义查找和网页打分插件，Simon Willison 却说这是黑箱倒退，两边观点都看看。
不生成文本、只做分类决策的 Jev 三周就跑到日处理 1 万亿 token，OpenAI 和 Cloudflare 都出了同路线产品，挺值得了解的新方向。
TypeSafe AI创始人谈Jev模型如何改变SaaS行业，与Claude Code和Codex对比，解释为什么SaaS公司将受益于AI自动化。
TypeSafe AI创始人Diogo Almeida批评行业过度承诺，其Jev模型专注于解决实际工作自动化问题，而非仅优化人类评估。
TypeSafe AI 创始人在 a16z 节目里讲他们的新模型 Jev，思路和 Claude Code 不一样，输出是带置信度的选项，软件能直接用，聊自动化为什么一直没来。
a16z 聊了个新模型 Jev，它不输出文本，而是给软件返回带置信度的选项，开发者能直接用来写自动化程序，跟 Claude Code 思路完全不同。
The cost gap, 62x cheaper than LLM judges, makes calibrated decision models a practical replacement for expensive evaluation pipelines. It also surfaces label errors in three existing benchmarks, which anyone relying on published alignment scores should note. Thresholds do not transfer between benchmarks, so teams adopting this should fit one on roughly 10 labelled items, which lifts median F1 from 0.706 to 0.793.
Routing model selection and reasoning effort to a lightweight System One model shifts cost and latency decisions from static configuration to per-request inference, a pattern that compounds savings on agentic workloads with many calls. Builders writing custom harnesses, especially with the Pi SDK, can plug the router into OpenRouter and reuse the shared implementation to benchmark it against their own fixed-model baseline before committing.
一个只会做选择题的模型，100 万次判断才 42 美元，Agent 里几十个判断步骤全靠它省钱省时间，Vercel 上线一天就 13% 付费团队接入了。
前 OpenAI 研究员搞了个不会打字的模型 Jev，专门做分类和判断，几十毫秒出结果还带置信度，比拿 ChatGPT 硬干省快多了。
Jev offers a cheaper alternative for classification tasks like spam detection and search reranking, with output tokens free and input pricing competitive.
Sign-up no longer requires a waitlist, so anyone can create an account at console.typesafe.ai and try Jev the same day.
想了解 TypeSafe AI 新的决策模型 Jev 是什么，这篇讲解详细介绍了它的三层架构，比直接看官方文档更容易理解。
This is a new AI model that is now accessible to developers and users, providing a new option for those looking for an AI assistant.
For developers working with Agent TypeSafe Agent, this update provides a more structured way to build decision-making capabilities into their agents by leveraging the official Skills library.
This is a new approach to AI tools that could be more reliable for automating software logic, offering a different alternative to existing models like Claude Code.
Jev's speed and cost advantages could make it a better choice for building efficient AI agents compared to other LLMs on the market.
TypeSafe AI 新出的 AI Gateway 很好用，能帮你快速建智能代理，比直接用大模型API更方便。
For developers, Jev is a new option for building AI systems that need to make fast, reliable decisions without the overhead of traditional LLMs.
TypeSafe AI 的 Jev 模型在安全审查任务中表现优异，其 p95 延迟比 GPT-3.5-Luna 快 18 倍且更准确。该模型已集成到 Vercel AI Gateway 中，并可能成为默认设置。
朋友，有个新模型叫 Jev，由前 OpenAI 的 Diogo Almeida 开发，它不写文字，直接给你分类结果，速度还很快，适合需要快速分类的场景。
朋友，TypeSafe AI 推出 Jev 模型，专门帮人做决策，速度超快，成本还低，适合需要快速判断的场景。
For developers needing fast, reliable decision-making in code, Jev offers a significant speed and cost advantage over traditional LLMs like ChatGPT or Claude.
