Ep 48: Faster pre-training without changing model architecture just became practical — Nous Research's Token Superposition Training cuts wall-clock time by up to 2.5x on models from 270M to 10B.

Models & Agents Faster pre-training without changing model architecture just became practical — Nous Research's Token Superposition Training cuts wall-clock time by up to 2.5x on models from 270M to 10B. What You Need to Know: Nous Research introduced Token Superposition Training, a two-phase method that averages token embeddings early then switches back to standard prediction. Open-source builders shipped a full cinematic video pipeline that runs end-to-end on a single AMD MI300X. ... AI Disclosure: This podcast is curated by Patrick but uses AI-generated voice synthesis for audio production.