Definition
Temporal Self-Supervision
A machine learning approach that uses the natural time structure of data as the training signal, without requiring human-generated labels. Instead of asking humans to annotate examples, the system uses 'what actually happened next' as the ground truth for each prediction attempt. LightningRod's chronological prediction method is a form of temporal self-supervision applied to domain corpora: any dataset with timestamps - news archives, SEC filings, clinical records, internal communications - becomes a self-labeling training environment. This mirrors how humans learn: we predict what happens next, observe whether we were right, and update our world model accordingly.
From the episode “AI That Predicts the Future”Hear it on the podcast1 episode
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