Jev's 200x speed and 400x cost gains apply to decision tasks, analysis says
An analysis of TypeSafe's Jev benchmarks says its speed and cost advantages apply to decision tasks like routing and scoring, and that cheaper decisions could expand the market for automation.
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.