Building a Codebase Classifier with Jev
A developer shares building a codebase classifier with Jev, suggesting it may solve overengineered code from agents, and asks what to test next.
The post says TypeSafe spent two years and $40M to put a decision model in the cloud, while a freshman open-sourced a Jev-like model that runs on a laptop with no API, no waitlist, no output tokens, about 13ms per decision, ~1GB RAM, 60 decisions per second, playing Snake.
TypeSafe Al spent 2 years in stealth and $40M to put a decision model in the cloud. 5 days later, a freshman open-sourced a Jev-like model that runs on a laptop. No API. No waitlist. No output tokens. ~13ms per decision. ~1GB RAM. 60 decisions a second. Playing Snake