Separating exploration from judging: a memecoin trading night with Jev as judge
The author applies the idea that the exploring model should never be the judge to a trading desk: the crawler only reads and never decides, Jev asks one structured question per step with a probability, and one night crawls 472 coins, makes 2 buys and 1 pass.
this is pure f*cking treasure Stanford just proved the model that explores should never be the model that judges. two models splitting one job beat 32 retries of the same model by 28.4 points most people rerun one model and get the same 2-3 mistakes back the split: → GPT-6 Astra explores hot (T=0.8, loose and creative) and finds paths nobody asked for → Claude Opus 5.5 audits every step cold (T=0.0, strict) and points at the exact broken one → only that step gets rewritten, the rest of the chain stays → a majority vote locks the answer, no reward model on MATH500, a hard math test: 29.6% → 58.0%. 91.2% of caught mistakes fixed, under 1.8% of good answers broken i put the same split on a memecoin trading desk last night. 2:25am, i'm asleep: → a crawler runs the whole tree of fresh coins on 3 chains. it reads, never decides → Jev asks one typed question per step: "is this X account recycled?" 0.71, flagged → nothing gets thrown away, only that step changes: bet cut to 40% → the chief bot checks "worth trading at all": 0.84, it buys HIGGS at $708K my take: a crawler without a judge is just a very fast way to buy rugs the video below is the whole night: 472 coins crawled, 8 checks, 3 flaws fixed, 2 buys, 1 pass the crawler explores. Jev judges. nobody does both you stop trading on a hunch. you trade on typed answers save this, the full setup is below ⭣ would you let one bot explore and judge your trades?
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