descriptive claim
Diffusion-style methods minimize the KL divergence between the target density and the current density.
Alexander Mattick · Why Scaling Prediction Cannot Create Intelligence - Alexander Mattick · 21 Sept 2026
In their words
The transcript segments this claim was taken from
“Um it now depends on the current state of our diffusion. The nice part about this is that the like diffusion style has some pretty nice properties, specifically that it's uh kind of minimising the uh uh the the relative entropy so the K_L_ divergence between like your your target density and your your your current density.”Play from 59:40Report a misattribution
85%how strongly it was put, not whether it is true
70%importance to the conversation
90%confidence the claim was read correctly