Think of Jev as a frontier-intelligence function call: unstructured state in, typed probabilistic decisions out.
Introducing System One Models & Jev · hn · Diogo Almeida · 15 September 2026
The comparison between LLM speed and Jev speed is misleading, because they're using autoregression to generate all of the type names, all of the schema, etc. A closer comparison would be if the LLM was purely outputting the raw numbers. Even then, comparisons to LLMs are pointless because you could train a transformer on the same sort of task that Jev is doing and get even better performance yet again, and a smaller model. I suspect this is some form of stripped down diffusion language model.