Definition

Chronological Prediction Training

LightningRod AI's core training method: given all data up to timestamp A in a corpus, predict what will happen at timestamp B. The model is trained iteratively across an entire dataset of chronologically ordered real-world information. The 'label' is simply what actually happened next - no human annotation required. This approach forces the AI to learn causal relationships rather than surface patterns: to get good at predicting timestamp B, the model must understand what factors in timestamp A's data actually drive outcomes. Ben Turtle calls this the mechanism humans use to build world models - we move through time, predict what comes next, feel surprise when we're wrong, and update our beliefs.

From the episode “AI That Predicts the Future”

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