Jev model claims 20-200x speedup and 40-400x cost cut for real-time structured output
hackgoofer · x · 2026-09-16
A self-described co-inventor of ChatGPT has emerged from two years in stealth to release Jev, a new frontier model trained with a method called RLCD, claiming 20-200x faster and 40-400x cheaper (with free output tokens) intelligence optimized for decisions. Multi-model systems builder kwindla says Jev fills a real gap: real-time voice agents and physical AI need many small, strongly typed, error-free structured outputs per second — a layer between slow backend agents and fast specialized classifiers.
Related event: TypeSafe exits stealth with decision model Jev and RLCD training method(86 posts)→
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