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data economy and infrastructure for AI forecasting

Solana
Joined April 2026
offdiagonal retweeted
One more thing… introducing offdiagonal.space : Clean-room data infrastructure for predictive AI. .. but why we also built a cryptographically sealed, leakage-free data infrastructure that prevents AI forecasting models from cheating on historical evaluations and failing silently in production? 🤔
Our potential application blueprint in 6 sections 🤔 — 1. What is your company going to make? Zeno is a metacognitive intelligence model that predicts when forecasters fail. Instead of building another prediction model, Zeno analyzes panels of diverse forecasters (AI agents, human experts, and physical ensembles) to detect fragile consensus, issue advance failure warnings, and correct group forecasts across weather, energy, and markets. — 2. What is new about what you make, and how is it different from existing solutions? 🧵👇:
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offdiagonal retweeted
“ Data preparation is critically important for an AI model to learn and perform well; in fact, the well-known industry adage is "garbage in, garbage out "
One more thing… introducing offdiagonal.space : Clean-room data infrastructure for predictive AI. .. but why we also built a cryptographically sealed, leakage-free data infrastructure that prevents AI forecasting models from cheating on historical evaluations and failing silently in production? 🤔
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