A new study from Google AI Research examines how diffusion models generate novel imagery. The team analyzed the latent space to determine if models truly create or simply interpolate training data. This technical deep-dive provides a framework for measuring algorithmic creativity. Practitioners can now better quantify the diversity of generated outputs in vision models.