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a16z 对话 TypeSafe AI:Jev 分类器模型与“反向 SaaSpocalypse”的 SaaS 判断
a16z 发布访谈片段,TypeSafe AI 的 Diogo Almeida 与 Ben Horowitz、Martin Casado 讨论其模型 Jev。Diogo 认为 AI 除聊天机器人和编码 Agent 外很少触及真实工作,原因是模型输出面向人类阅读、软件无法直接消费;Jev 读取自然语言并返回带置信度的选项,使程序能对意图做概率性决策。他反驳“软件易被复制”的说法,认为 SaaS 公司最懂该自动化哪些工作流,将是 AI 的最大赢家之一,并把这一前景称为“反向 SaaSpocalypse”,Martin Casado 戏称其为“SaaSpalooza”。
AI推荐理由 a16z 播客片段,TypeSafe AI 的 Diogo Almeida 与 Ben Horowitz、Martin Casado 讨论 Jev 模型:把自然语言映射为带置信度的选项分类器,供软件消费,而非生成给人读的文本;并提出 SaaS 将成为 AI 最大赢家之一、可能出现“反向 SaaSpocalypse”的观点。具体新信息是 Jev 的定位(分类器、面向生产可靠性)与对 SaaS 价值的反向判断,属于观点性访谈而非可验证发布,故质量分中等;对 Agent 落地与 AI 应用架构有参考价值。
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TypeSafe AI's Diogo Almeida expects an inverse SaaSpocalypse, and Martin Casado calls it "SaaSpalooza":
Ben: "When the coding agents came out, it was the SaaSpocalypse, and all their values dropped through the floor. Then when Jev came out, every SaaS company is like, 'This is the greatest thing ever.'"
Diogo: "In the SaaSpocalypse story, the story I feel has panned out really poorly is that software is very cheap and perhaps easy to replicate. I could believe the former. I could not believe the latter, because a lot of the stuff happens beneath the hood."
"I think SaaS will be one of the largest winners of the whole AI game. I want to work really, really well with the biggest, most boring... SaaS companies because I think they're the best positioned to know what workflows to automate, what people need. That's their bread and butter."
"Software is always a CapEx investment. You spend it ahead of time to make the experience better, and that gets distributed to all that mass of users."
"I'm not going to forecast anything about the financial markets. But as far as capabilities go, I think it's going to be like an inverse SaaSpocalypse. I'm so jazzed about it. I should make a name..."
Martin: "SaaSpalooza."
[@CompleteSkeptic](https://x.com/CompleteSkeptic)[@bhorowitz](https://x.com/bhorowitz)[@martin\_casado](https://x.com/martin_casado)
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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](https://youtu.be/Ut3LOjKNJaE)[@CompleteSkeptic](https://x.com/CompleteSkeptic)[@typesafeai](https://x.com/typesafeai)[@bhorowitz](https://x.com/bhorowitz)[@martin\_casado](https://x.com/martin_casado)
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