The Sequence AI of the Week #878: Inside Google Deepmind's First Real Crack in Next-Token Generation
TheSequence Jesus Rodriguez
Google DeepMind released DiffusionGemma, a text-diffusion model that generates text differently from transformer-based language models by not sequentially predicting one token at a time. The model uses diffusion-based generation to challenge the conventional left-to-right, next-token prediction approach that has dominated the modern LLM era. This alternative architecture potentially offers a different pathway for text generation beyond the sequential token-by-token method used in GPT-style models and other transformer-based systems.
Why it matters
DiffusionGemma is one of the most serious non-transformer models in the market.
