If anyone reads Gary’s new book Rebooting AI, his whole MO is that to create really good generalized intelligence current level of neural nets are too narrow.<p>And here OpenAI made a claim about solving Rubik’s cube with a robot hand. One would assume they found a generic algorithm from the headline that does Rubik solving From both physical and algorithmic perspective. In actuality OpenAI made a demo of a very specific Rubik’s cube that gave Bluetooth info about its state (not pure vision like humans do). The Rubik’s algorithm was a pre-programmed one, not something that was learnt. Only hand manipulation of that specific cube was learnt.<p>And we don’t know how general the hand manipulation was. Does it work with different sized Rubik’s cube? What about a non-bluetooth one? Can the same system also fold clothes? Assemble lego blocks into some fixture?<p>Basically OpenAI has taken a fuck ton of VC funding. So the headlines are hyperbolic when reported. Whether intentional or not, I don’t know. To the layman it’s sending the wrong message and creating unnecessary fear.<p>OpenAI, DeepMind, AAMFG need to always explicitly say how narrow their AI is when they make claims. I.e Here’s 10 things it’s good at and these are the boundaries. If you change things slightly in the following ways it will fail.