TechCrunch: DeepMind has yet to find out how smart its AlphaGo Zero AI could be. “DeepMind’s AlphaGo Zero was an immense achievement not just because of its speed, but because it was able to accomplish all this starting from scratch – researchers didn’t do the first step where it uses human data as a baseline from which to begin the system’s education. Instead, it used spontaneous data to start, literally trying out moves on the board at random and working out which were most effective. Perhaps the most interesting thing about AlphaGo Zero, though, isn’t how fast it was able to do what it did, or with such efficacy, but also that it ultimately didn’t even achieve its full potential. DeepMind CEO and co-founder Demis Hassabis explained on stage at Google’s Go North conference in Toronto that the company actually shut down the experiment before it could determine the upper limits of AlphaGo Zero’s maximum intelligence.” Because they NEEDED THE COMPUTERS FOR SOMETHING ELSE?