AI Model Jev Goes Viral for Making Judgments Only, Up to 193.6x Faster

The pitch here is architectural rather than incremental: a judgement-only model that trades general capability for latency and cost, aimed at the agent loop where most decisions are small and repetitive. That reframes the economics of high-frequency agent workflows, where routing every micro-decision to a frontier model is the default cost driver. The open question is whether narrow judgement holds up outside benchmark conditions, and whether "System One" framing becomes a category or stays a single vendor's positioning.