anything less than 420-D should not be called high D imo

So far, learning traps seem robust to social learning in our cases. Surprisingly, despite many manipulations that have tried to reduce this learning trap, the most effective has been simply being a child (see @emilyliquin.bsky.social's work on traps in children) osf.io/preprints/ps...

This is in principle justified by Rao-Blackwell theorem? one abstracts the problem enough such that the data we do have is a suffcient statistics for the inference problem.

I’m not sure how useful this form is for characterizing part of the brain that does specific computation though. The heart is an important part of keep me alive to do face processing, but it does’t seem useful to say face processing -> heart is active. though it’s logically correct.

So what drives drift? We looked closely at the neurons and found that a small group of them were stable. These stable neurons were more excitable than neighboring cells, making the fate of the cells predictable.

“this is an unfair comparison because the model has not been trained on all data that has ever existed and on all future data that will be digitalized! Our foundation model is omniscient which renders the concept of generalization null!!!!”