Gary Marcus

There's a major difference: DL was guided in its infancy by ideas from neuroscience, so there is a relatively direct link between them. In contrast, the application of quantum mechanics to the c-word is taking two distinct fields and tying them together on speculative grounds.

The relation between deep learning - with its single neuron type and largely homogenous architecture - and the actual complexity of the human brain, with > 1000 neuron types, hundreds of proteins at each synapse and > 100 distinct brain regions - is risible.

In my day job as a neuroscientist, i spend a lot of time thinking about the complexity due to cell types, proteins etc. Some of these details may turn out to be crucial. But we can't be sure which ones (although i do have opinions)