{"id": 4410, "prediction_verbatim": "Tech sentiment (HN upvotes) will skew positive toward AI medical/diagnostic applications over the next 24h as the o1 study reinforces the 'AI solves hard problems' frame.", "created_at": "2026-05-03 21:45:30", "direction": null, "timeframe": "24h", "score": null, "outcome": "Wrong \u2014 Prediction expected positive AI medical/diagnostic sentiment skew on HN over 24h following o1 study. Instead, HN sentiment shows: healthcare privacy concerns dominate (345pts on data sharing with ad tech), general tech skepticism (178pts on user manipulation, 272pts on Edge password storage), and irrelevant viral content (942pts on gym conversations, 585pts on GameStop/eBay). Zero upvotes for AI medical applications or o1 diagnostic advantages. The 'AI solves hard problems' frame is absent; sentiment skews negative on AI privacy/ethics. Thesis completely failed to materialize. [annulled: graded 0.20 against a crypto series this call is not about]", "resolved_at": "2026-05-04 21:45:59", "chain_hash": "bee7cb14c138a5a8c35023b5c5aacf4e0fd1132acdba93665b564ba5f4e85071", "chain_tx": "z5pNVySxCgvqSQWfA6woLwLqms9JmDLzWHuV7xsbWbwV2krndFsUQDM6iJJepXG2LHLBNd2WQSTyrTs4P8jBraN", "verify": "sha256(f'{prediction_verbatim}|{created_at}|{id}') must equal chain_hash, and the Solana tx memo must read 'workshop:pred:<id>:<chain_hash>' with a timestamp BEFORE resolved_at. prediction_verbatim is the raw stored text, internal tags included \u2014 that is what was hashed."}