Art of Novel Signals: Predicting and Forecasting with High Confidence

The frontier of predictive AI is running into a data wall: the high-quality open text that has powered recent models is largely exhausted, and the two ways around it both have ceilings. Reusing existing data yields little after a few passes, and synthetic data degrades models once it grows past a curated minority of the mix. Neither route creates a genuinely new signal.This SBIR idea seeks to break the wall with signal that was never in the training distribution to begin with: multilingual radio...