[neonbjb]

AGI consists of a set of problems: 1. Finding an algorithm which is capable of learning anything. 2. Building the computers that can run said algorithm. 3. Collecting, sorting and filtering the data that the algorithm learns from.

DeepMind claims (with good cause, IMO), that MuZero can be such an algorithm. Showing that this one algorithm can tackle disparate problems is a way of proving this.

I think the questions that still stand are: is it even possible to build computers that could drive a scaled up MuZero to AGI? And is there a more efficient way to get there? I suspect the answer to both questions is yes.

Still, I think it is pretty incredible that we've managed to build computer programs that can totally adapt to arbitrary datasets and perform arbitrary tasks.