DeepMind Can Now Beat Us at Multiplayer Games, Too

[0] https://news.ycombinator.com/item?id=20055162

I would like to see them use their talent and financial backing from Alphabet to tackle the hard problems of common sense in AI and in general the science of what it will take to reach AGI.

Deep learning is brittle, as can be seen in the good science of finding adversarial attacks on trained models. I would like to see less accuracy on dev and test sets, smaller more general models, and especially not see convolutional models as the basis for vision systems in self driving cars. My intuition is that discarding information of relative positions and relative relationships of large features in an image is a bad idea for the self driving car problem.

They have really pushed progress for an old technology (reinforcement learning) and achieved fantastic results but in my experience if there are not many failures along the way, then perhaps goals are not being set high enough.

Unlike a game of chess where the mind is basically the only one at work, this time the "body" might have had just as much of an input. Even regular bots were good enough for most players anyway :).

After all, humans cheat, would we want that allowed by an AI. Equally an AI could stumble upon an exploit in a game and not realise it is an expliot - ie item duplication.

But this opens up a whole new aspect of gaming that AI has yet to touch that I'm aware of.

Though I feel we are still a way of from having computers with a moral-coprocessor, and still very much early days with AI. But that is certainly something that is within our lifetimes.