Jev 不是魔法药丸：System 1 决策模型真实定位
Jev 不写文本，只做「非结构化状态进、类型化决策出」的 System 1 判断，适合分类、路由、打分和 agent 护栏，但无法开放式推理。
Everyone's selling Jev as a magic pill: 200x faster, 444x cheaper, "can't hallucinate," the ChatGPT killer. It's not. And the truth is actually more interesting. Jev doesn't write text. At all - no prose, no code, no chat. It's a "System 1" model: unstructured state in → a typed decision out, in 70–500ms. A smart if-statement with frontier intelligence, not a chatbot. Where it's genuinely great: – classification, routing, scoring – guardrails that vet an agent's action *before* it runs – judging & filtering other models' output – real-time loops (it plays Doom at 10 queries/sec for ~$7/hr) Where the hype cracks: – it can't do anything open-ended – no test-time reasoning → a real intelligence ceiling – benchmarks measure agreement with other models, not ground truth – "0 hallucinations" ≠ always right. It can still pick the wrong option. So it's not an LLM killer. It's a new primitive that sits next to your LLM and takes the fast, bounded decisions off its plate. Cheap intelligence at every decision point in your code, that's the actual unlock.
这条是引用着另一条写的：x.com/solst1ne/status/2101724066369654935