The second part seems to build on Babble and Prune, which was a previous sequence here, but also makes a very large number of predictions in a relatively straightforward fashion. Many of those predictions are also covered in the Babble and Prune sequence, though the basic idea of “part of human cognition works by generating hypotheses though some stochastic process, and then filtering out the bad ones” is very widespread in cognitive psychology.
In general, probabilistic inference is comprised of two steps: hypothesis generation and hypothesis evaluation, with feedback between these two processes.
This assumption is widely shared in really broad swaths of cognitive science.
The first part seems to mostly be building off of Eliezer’s technical explanation of a technical explanation. And it does successfully link to it.
The second part seems to build on Babble and Prune, which was a previous sequence here, but also makes a very large number of predictions in a relatively straightforward fashion. Many of those predictions are also covered in the Babble and Prune sequence, though the basic idea of “part of human cognition works by generating hypotheses though some stochastic process, and then filtering out the bad ones” is very widespread in cognitive psychology.
As a random example, take this paper: http://gershmanlab.webfactional.com/pubs/Dasgupta17.pdf
It says:
This assumption is widely shared in really broad swaths of cognitive science.