I'd be interested in hearing your answer if you're willing to share.
I've mostly been here for the sequences and interesting rationality discussion, I know very little about AI outside of the general problem of FAI, so apologies if this question is extremely broad.
I stumbled upon this facebook group (Model-Free Methods) https://www.facebook.com/groups/model.free.methods.for.agi/416111845251471/?notif_t=group_comment_reply discussion a recent LW post, and they seem to cast LW's "reductionist AI" approach to AI in a negative light compared to their "neural network paradigm".
These people seem confident deep learning and neural networks are superior to some unspecified LW approach. Can anyone give a high level overview of what the LW approach to AI is, possibly contrasted with theirs?