模型多源确认73°

TypeSafe AI 推出 Jev 模型:让软件直接消费 AI 输出

TypeSafe AI's Diogo Almeida's elevator pitch for Jev: "Where the f**k is all the automation?" "AI i...

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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。

TypeSafe AI 的 Diogo Almeida 在 a16z 访谈中介绍其首个模型 Jev。他指出聊天机器人和 Claude Code、Codex 这类编码代理之外,AI 几乎没有触及真正的自动化工作,因为现有模型输出的是供人类阅读的文本,软件无法直接消费。Jev 的做法是读取自然语言后返回一组带置信度的选项,让开发者可以构建基于意图和概率决策的程序。Almeida 把这概括为不自动化软件工程本身,而是扩展软件能做的事。

图片来源 · a16z
原文 · a16z

TypeSafe AI's Diogo Almeida's elevator pitch for Jev: "Where the f**k is all the automation?" "AI i...

TypeSafe AI's Diogo Almeida's elevator pitch for Jev: "Where the f**k is all the automation?" "AI is so unbelievably smart. Not that I hate on chatbots or coding agents, I love them myself, but it's so useless at all other stuff. It's tragic." "TypeSafe is making AI for software. We want to make AI powerful, not just for humans in the loop, but to actually build real software. Jev, to us, is our first model in this whole space to make [automation] way, way better." "I like Claude Code and Codex. I love the description from Garry Tan and them: It's just-in-time software. It makes software on the fly, and you can program software in natural language, but it has the same expressive power as software." "What I want instead is smart software. Instead of automating software engineering, I want to expand what software itself can do, such that things that should be automatable can then be automatable." "I want to express things like intent. I want to expand the vocabulary of what we can do." "Programming is hyper-specifying valuable things and then infinitely replicating them. It's so freaking cool." @CompleteSkeptic Your browser does not support the video tag. 🔗 View on Twitter a16z @a16z TypeSafe AI's Diogo Almeida with a16z's Ben Horowitz and Martin Casado on Jev, the model built to live inside software: Diogo's elevator pitch for Jev is a simple question - where is all the automation? AI is unbelievably smart, but outside of chatbots and coding agents, it hardly touches any real work. His diagnosis is the industry built models that generate text for humans to read, and software can't consume that output. Jev reads natural language and returns a choice from a set of options with a confidence level assigned to each, so developers can build programs that reason about intent and make probabilistic decisions rather than relying on human interpretation. TypeSafe's philosophy is "We build prod, not God." 0:50 "Where the f**k is all the automation?" 2:50 Jev vs. Claude Code and Codex 6:55 Jev is a classifier and classifiers are sick 7:40 Chat vs. code: is Jev a slider? 9:00 Diogo: From mathlete to Kaggle to OpenAI 12:20 "We build prod, not God" 15:55 Reliability over demos 16:55 2021 thoughts: RLHF is AGI? 20:45 Optimizing for the wrong use case 21:50 Is the real world too messy to automate? 25:00 Nobody expected the Jev launch 26:35 Three kinds of reliability 28:05 Good at syntax, bad at architecture 30:00 The inverse SaaSpocalypse 33:40 Why coding agents automate so little 36:05 Probabilistic programming returns 38:45 Jev as the UDP-to-TCP layer for AI 40:20 The 5 stages of grief for embedding AI 41:30 Utopia: AI that actually does what you mean YouTube: youtu.be/Ut3LOjKNJaE @CompleteSkeptic @typesafeai @bhorowitz @martin_casado Your browser does not support the video tag. 🔗 View on Twitter 🔗 View Quoted Tweet 💬 12 🔄 1 ❤️ 27 👀 12441 📊 10 ⚡