offdiagonal

Most AI forecasting models are evaluated on synthetic benchmarks or backfilled data with hidden lookahead leakage. We just shipped v6.41.1 for solana:FMGe8RStdPc1YR59BBuV5Ui12DEe3Q2zVoihrJBbpump next training run — 260M+ frozen, append-only rows across 12 domains: • 762,014 CDC @FluSight forecasts (114 models) paired with first official prints, dated by exact @GitHub commit blob 
• 76,271 Philadelphia Fed predictions across 146 survey rounds verified against ALFRED first-release dates 
• 368 crowd probability vectors replayed from Manifold bet-by-bet history strictly at decision time 
• 20,284 immutable event links sealed before target resolution 
• 198 consecutive weeks of continuous UK grid demand, 139 weeks of weather, 105 weeks of sea buoys Zero imputation. Zero synthetic zero-fills. Every single record pinned by SHA-256. Live verification & specs: offdiagonal.space 👀

Hard-Numbers 8,786 downloads on @huggingface and 260.9M audited forecast-outcome records. We just froze v6.39 (commit 66b41c14). Here are the exact numbers on what changed across crypto, prediction markets, and macro data: 🧵