REAX SN92 targets the AI decision economy: small models making millions of micro-decisions daily
markjeffrey · x · 2026-10-16
Shared by markjeffrey, REAX SN92 argues most AI work isn't content generation but decision-making: billing vs support, cheap vs expensive model, approve/confirm/escalate — millions of tiny choices a day where using a giant model is like hiring a lawyer to sort your mail.
- Built by Decision Models: small, fast Decision Models that read a request and return a decision with a confidence score
- Combines open-weight models with a network paid to serve and improve them (Bittensor SN92)
- TypeSafe AI's Jev targets the same market: fast decisions for software instead of long answers for people
More from coding & agent
- MIT to host ScienceClaw agent hackathon on multi-agent scientific discovery, apps close Oct 16 — ProfBuehlerMIT · 2026-10-16
- AI review agents catch different bugs than humans — together they find 82.1% — rseroter · 2026-10-16
- Liquid AI's LFM2.5-24B-A2B tested locally: 2B active params for on-device agents — JosephJacks_ · 2026-10-16
- Four workflow tips for driving Gemini 4 Argon in Antigravity CLI — rseroter · 2026-10-16
- OpenCode 2.0 wins over Hacker News with auto-triaging GitHub App and opentunnel — ycombinator · 2026-10-16
- VOYGR launches PlaceCall on YC: an API that lets AI agents phone US businesses — ycombinator · 2026-10-16