The training data remains largely the same, but its presentation is syntactically altered. Statements are tagged as 'communication acts' or 'factual/hypothesis' syntax. This allows the model to learn the joint distribution of variables, including latent ones, to explain observed data and infer underlying truths.
Impact: High. This data transformation is crucial for enabling the AI to distinguish between reported speech and factual claims, even when ground truth is scarce, by forcing it to model underlying hypotheses.
In the source video, this keypoint occurs from 00:14:02 to 00:17:11.
Sources in support: Yoshua Bengio (Guest, AI Researcher)

