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Latent.Space：TypeSafe CEO 谈 Jev 与 System One Model，反对公开基准
Latent.Space 播客发布片段，TypeSafe CEO 解释为何 AI 能解决极难问题却难以自动化基础工作，Jev 面向软件内可靠决策而非聊天，公司拒绝公开基准与 API 层拒答，认为数据与任务选择比暴力算力更重要，并称即便有 10 亿美元也不会从头预训练模型。
AI推荐理由 Latent.Space 播客片段，转述 TypeSafe CEO 关于 Jev 与 System One Model 的观点：反对公开基准、主张任务选择比算力更重要、拒绝在 API 层做拒答、即便有 10 亿美元也不从头预训练。属于有具体主张的访谈内容，但正文为转述与宣传性引语，缺少可验证数据，且带有视频推广性质，故质量中等。
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STOP making "Jevbench"es, stop asking for public benchmarks, they completely miss the point of Jev and you won't believe how easy it is to game every benchmark you hold dear
This is [@CompleteSkeptic](https://x.com/CompleteSkeptic)'s bitterest lesson of all: picking the right task beats everything
[Your browser does not support the video tag.](https://video.twimg.com/amplify_video/2104693319309922304/vid/avc1/720x1280/KVdPwfgR2hZu75Z4.mp4?tag=29)
[🔗 View on Twitter](https://x.com/latentspacepod/status/2104693832453628230/video/1)
Latent.Space@latentspacepod
Jev and the System One Model: RLCD, intelligence/$, reliable AI, & the end of chat-first AI [latent.space/p/jev](https://www.latent.space/p/jev)[@typesafeai](https://x.com/typesafeai) CEO [@CompleteSkeptic](https://x.com/CompleteSkeptic) explains why AI can solve extraordinarily hard problems yet still fail to automate basic work, why Jev is built for reliable decisions inside software instead of chat, why TypeSafe rejects public benchmarks and refusals at the API layer, why data and the right task matter more than brute-force compute, how System One Models could reshape coding agents and software, and why even with $1 billion he wouldn’t pre-train a model from scratch.
[Your browser does not support the video tag.](https://video.twimg.com/amplify_video/2102145639408922624/vid/avc1/1920x1080/_mkadgjILbPKpmn8.mp4?tag=29)
[🔗 View on Twitter](https://x.com/latentspacepod/status/2102159548366881196/video/1)
[🔗 View Quoted Tweet](https://x.com/latentspacepod/status/2102159548366881196)