Stealth startup launches Jev, a frontier model that plays Doom in realtime, claiming 20-200x speed and 40-400x cost cuts
alexcovo_eth · x · 2026-09-16
Jev, a new frontier model from a stealth startup co-founded by an early ChatGPT co-inventor, claims 20-200x faster and 40-400x cheaper inference with free output tokens, trained via a new method called RLCD. A demo shows it playing Doom in realtime like a human player. At 10 calls/sec (36,000/hour, about $7), use cases that must keep pace with a person — realtime game opponents, live assistants — suddenly become viable.
Related event: TypeSafe exits stealth with decision model Jev and RLCD training method(86 posts)→
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