At some point soon, I'm going to attempt to steelman the position of those who reject the AI risk thesis, to see if it can be made solid. Here, I'm just asking if people can link to the most convincing arguments they've found against AI risk.
EDIT: Thanks for all the contribution! Keep them coming...
Yes it is a pure ANN - according to my use of the term ANN (arguing over definitions is a waste of time). ANNs are fully general circuit models, which obviously can re-implement any module from any computer - memory, database, whatever. The defining characteristics of an ANN are - simulated network circuit structure based on analog/real valued nodes, and some universal learning algorithm over the weights - such as SGD.
You don't understand my position. I don't believe DL as it exists today is somehow the grail of AI. And yes I'm familiar with Hinton's 'Capsule' proposals. And yes I agree there is still substantial room for improvement in ANN microarchitecture, and especially for learning invariances - and unsupervised especially.
For any theory of anything the brain does - if it isn't grounded in computational neuroscience data, it is probably wrong - mainstream or not.
You don't update on forum posts? Really? You seem pretty familiar with MIRI and LW positions. So are you saying that you arrived at those positions all on your own somehow? Then you just showed up here, thankfully finding other people who just happened to have arrived at all the same ideas?
You could say that any machine learning system is an ANN, under a sufficiently vague definition. That's not particularly useful in a discussion, however.