descriptive claim

In the period Laskin describes, approximately 95% of model compute went to pre-training, making the models primarily pre-trained.

Misha Laskin · Beam: The Great American Open Model with ReflectionAI Co-Founder and CEO Misha Laskin · 9 Oct 2026

In their words

The transcript segments this claim was taken from

“and they were primarily you know 95% of the compute spent was spent on pre-training so they're primarily pre-trained models we are reinforcing learning researchers that's been our lineage”

Play from 4:39 Report a misattribution

90%how strongly it was put, not whether it is true

80%importance to the conversation

97%confidence the claim was read correctly