News for hackers. Stuff that matters.
Re:Human-Level AI Is Harder Than It Seemed in 1955 – John Mc... by atrilla on Wednesday January 28, 2015 @06:12PM (#8963166)
And the closest to solving this we seem to be at present is fuelled by deep learning, which is basically a big neural network with an absurdly vast amount of neurons (i.e., parameters for learning, like the brain). We can observe how this brute-force technique works, but unfortunately no-one can explain why (it's a black box model). The same story has been on for decades.

I would relate it to being a discriminative model, which is tailored to solving a specific task, in contract to generative models, which try to model and explain the world. Perhaps the brain is not meant to understand how the world works but how to do take advantage of it.

Re:Human-Level AI Is Harder Than It Seemed in 1955 – John Mc... by ajtulloch on Wednesday January 28, 2015 @06:16PM (#8963179)
Deep learning models definitely don't need an "absurdly vast amount of neurons" - for example, GoogLeNet (arguably the state of the art image classification model) has only ~6M parameters.