Topic · Concept
Diffusion models
Diffusion models generate output by starting from random noise and refining it over several passes, instead of writing it one piece at a time. This page covers how they work, the papers behind them and the newer diffusion language models, such as Inception's Mercury 3, that apply the method to text.
- Original diffusion paper
- "Deep Unsupervised Learning using Nonequilibrium Thermodynamics," Sohl-Dickstein, Weiss, Maheswaranathan and Ganguli; submitted March 12, 2015
- Latent diffusion
- "High-Resolution Image Synthesis with Latent Diffusion Models," Rombach et al.; submitted December 20, 2021
- Gemini Diffusion
- Announced May 20, 2025, as an experimental text diffusion model from Google DeepMind; demo access by waitlist
- Mercury paper
- "Mercury: Ultra-Fast Language Models Based on Diffusion," Inception Labs et al.; submitted June 17, 2025
- Mercury 3 launch
- October 19, 2026; Inception calls it "the most capable diffusion-based LLM released to date"
- Mercury 3 speed (vendor-reported)
- 1,068 tokens per second on Nvidia GPUs, per Inception
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