Steven Gonsalvez

Software Engineer

Continuous Diffusion Language Models (CDLM's)

Why CEREBRO kept it

Novel diffusion language model architecture, core LLM mechanics

The text below is an automated extraction of the article at https://sander.ai/2026/08/24/continuous-dlms.html, stored verbatim in the public cerebro-vault repository. Copyright remains with the original publisher (sander.ai).

A flurry of recent activity in the space of continuous diffusion models for language, after a few years of relative dormancy, suggests that this approach is making something of a comeback. Fully discrete diffusion methods had largely supplanted earlier attempts to make continuous diffusion work for language, but the tide is starting to turn. In this post, I want to take a closer look at what’s going on, and why it is happening now. The recent influx of new research in this space inspired me to write up some of my thoughts. I have written about diffusion language models before, so this mainly s

Community take

Autoregressive dominance was already established in 2020 (GPT-3 hype was real), contradicting the article's framing of encoder novelty.

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