TypeSafe CEO on Jev: machine-native models for code, RLCD over RLHF
Latent Space · youtube · 2026-09-22
Latent Space interviews TypeSafe co-founder & CEO Diogo Almeida (ex-OpenAI) days after Jev's launch. His bet: the next wave of AI won't look like chat — it's "System One Models," machine-native AI built for code, calibrated decisions, reliability, and intelligence per dollar. Key threads: why RLHF causes mode collapse and calibration issues, and RLCD as a different north star; why TypeSafe rejects public benchmarks and thinks of itself as a data lab; why refusals become fundamentally different when AI is buried in software dependencies; how structured state replaces giant prompts, and decomposing AI workflows into many small measurable decisions; the "inverse SaaS-pocalypse"; and why he wouldn't pre-train from scratch even with a billion dollars.
Related event: Ex-OpenAI researcher launches decision model Jev with bold speed claims(36 posts)→
More from coding & agent
- Loom founder launches Roma 2.0, a shared to-do list that orchestrates AI agents — thetripathi58 · 2026-11-12
- Sosumi Eval: Apple Docs Access Lifts Coding Agent Pass Rates from ~33% to 94-98% — JordanMorgan10 · 2026-11-12
- CypherGuard fixes structurally wrong LLM Cypher queries, hitting 88.5% on CypherBench — JeremyCMorgan · 2026-11-12
- Building an End-to-End Hedge Fund in Python with Claude Code: A 5-Step Workflow — mdancho84 · 2026-11-12
- Jeff Dean: comfortable with engineers spending up to $10M/year on AI tools — deedydas · 2026-11-12
- Developer builds VladOS, a personal life dashboard, by just describing it to an AI agent — haltakov · 2026-11-12