Validation & Risk 8. Robust validation — use time-aware splits for temporal data and adversarial stress tests. 9. Calibration & uncertainty — temperature scaling or simple Bayesian techniques to get reliable probabilities. 10. Fairness checks — at-minimum group-performance parity diagnostics on protected attributes if applicable.
Despite superhuman performance on benchmarks, SuperModels7-17 still shows: SuperModels7-17
No AI is perfect. Critics of point to two lingering issues. Validation & Risk 8
