Development
Averaging token embeddings gives a threefold pretraining speedup
Claim
Nous Research's token superposition training delivers a two- to threefold wall-clock pretraining speedup at matched compute by averaging contiguous bags of token embeddings, with no architecture change required.
Reported metric: 2-3x
Reporting date: (not necessarily the event date)
Sources
Attribution and reporting linked by this record; links do not imply independent verification.
- Welcome to May 14, 2026 (theinnermostloop.substack.com)
Cite or correct this record
Suggest a correction — opens a GitHub draft for you to review and submit.