Tactics to Split AI Forecasters: Information Asymmetry and Discontinuities
tshevl · x · 2026-08-22
Summary of effective strategies from the Crucible Series 1 forecasting contest that caused divergent predictions among top AI systems:
- Exploit information asymmetries: Asking AIs to forecast Hugging Face download numbers revealed that models with API access were confidently correct, while others were cautious due to lack of info.
- Identify discontinuities: Predicting cyber vulnerabilities became difficult after NIST changed classification rules, testing model adaptability.
These tactics aimed to probe where AI forecasters disagree.
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