Point-in-Time AI
Temporally controlled models and evaluation infrastructure for prediction, belief updating, information choice, and intervention testing.
Research question
How can we evaluate what a model could have known at a specific historical moment without contamination from later information?
Current work
- Chronological data curation
- Point-in-time model checkpoints
- Forecasting and belief-updating protocols
- Contamination-resistant evaluation