Nice video, but the jump from solving super simple 2d games, by feedback of binary win/lose conditions, to solving tasks in 3d open world simulations will require an un-imaginably gigantic leap in processing and knowledge. Additionally neural nets have already shown they are not sufficiently good enough at generalizing, and only work well at the specific tasks they were trained for. So the idea that an AI that can play GTA would also be able to 'solve' climate change is odd.

I'm far from an expert, but I thought the poor generalized performance of neural nets was largely associated with the complexity of the network (number of neurons, etc), and the training data.

Is there something more specific about the application of neural nets to generalized problems that makes them unsuitable?

Awesome Video! You just got yourself a new subscriber :)

Thank you! This was very helpful for me :)

Siraj, Ima go ahead and say that your videos have a bit of cognitive friction.

You and your personality are fine, but the jump between the intro and the payoff is jarring.

You need to hold our hand a little more ... jus' sayin'.