dailyai.report

A new study from Google AI Research analyzes how diffusion models generate creative outputs. The team decomposes the sampling process to identify where novelty emerges versus where the model replicates training data. This provides a technical framework for controlling output diversity. Practitioners can now better tune the balance between fidelity and originality.