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- Discussion
Introducing System One Models and Jev (Hacker News launch thread)
The 1,863-point, 490-comment launch thread. Top comments argue the frontier-model framing is misleading, dispute the cannot-hallucinate claim on the grounds that type safety is not factual correctness, and note grammar-constrained decoding on ordinary LLMs already covers much of the interface.
- Discussion
A driving simulator controlled by Jev (X)
A video demo rebuilds a Tesla Full Self-Driving-style simulator controlled by Jev, built in under an hour.
- Discussion
Blitz chess against frontier models (X)
A video demo of Jev V13 playing 5+0 blitz chess against Fable 5.1 and GPT-6 Astra, one move per API call, answering in about 2.6 seconds per move. Fable was ahead on material but lost on time; Astra mated Jev in 18 moves.
- Discussion
An inbox classifier for 1,500 emails (X)
A video demo of an email classifier built with Jev, tested on 1,500 of the author's own emails.
- Discussion
Natural-language queries inside PostgreSQL (X)
A video demo of jev(), a PostgreSQL extension that filters rows with a natural-language condition inside a WHERE clause with no index or embeddings. It judged 129 rows in about 1 second for $0.0009, and 6 milliseconds on a cached rerun.
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Fourteen checks for every pull request (X)
A video demo shows Jev returning 14 typed probability checks per pull request diff, such as hardcoded secrets and SQL injection, which code turns into a block, review, or merge verdict. Checks scoring between 0.35 and 0.65 confidence are escalated to a human or a larger model.