Projecting the distribution to its top item maintains performance in DiffusionGemma, according to new research. This finding suggests that Google DeepMind's diffusion-based text generation does not hide complex latent reasoning in its opaque serial depth. Practitioners can monitor the model's internal states more reliably than previously feared. The results mitigate concerns regarding hidden computation.