Jev 决策模型的经济学解读：Jevons 悖论
作者分析 Jev 官方 benchmark 的 200 倍速度、400 倍成本优势只适用于路由、评分等决策任务，并认为这会催生更大的自动化决策市场。
I was looking into TypeSafe's Jev, and I lean bullish on what it means for the AI buildout. @typesafeai reports 200x faster responses and 400x lower costs on its own benchmarks. Jev makes specific decisions (things like routing and scoring), like choosing which team should handle a customer request. The reported speed and cost gains apply to that kind of work, not writing text or code (LLM's job). This is where Jevons Paradox comes into play making AI cheap and fast enough for businesses to afford using for decisions they would never have considered automating before. You save compute on each task, but potentially create a much larger market for those tasks. Fun fact: Jev is literally named after Jevons Paradox This may sound counterintuitive, but this is how I see it plays out. Love seeing the developments in the industry.