ChatGPT Co-Inventor Launches Jev: Claims 20-200x Faster, 40-400x Cheaper Than LLMs
zmkzmkz · x · 2026-09-22
A self-described ChatGPT co-inventor has launched Jev, a new type of frontier model built for composable, decision-optimized intelligence:
- Claimed specs: 20-200x faster, 40-400x cheaper (with output tokens free).
- Backed by a new training method called RLCD, developed over two years in stealth; the author calls it the "shortest path to AI-based economic revolution."
Researcher Alham Fikri Aji resurfaced with a full-circle note: 2 years ago his team introduced Statement Tuning (arXiv:2404.12897), training encoder models to output decision probabilities as a lightweight alternative to generative LLMs for zero-shot classification. He sees Jev as a similar idea productized, congratulates the team, and links the paper plus a crosslingual extension.
Related event: Ex-OpenAI researcher launches decision model Jev with bold speed claims(36 posts)→
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