Claims of a pending AI apocalypse come almost exclusively from the ranks of individuals such as Musk, Hawking, and Bostrom who possess no formal training in the field... A number of prominent voices in artificial intelligence have convincingly challenged Superintelligence's thesis along several lines. First, they argue that there is simply no path toward machine intelligence that rivals our own across all contexts or domains... even if we were able eventually to create a superintelligence, there is no reason to believe it would be bent on world domination, unless this were for some reason programmed into the system. As Yann LeCun, deep learning pioneer and head of AI at Facebook colorfully puts it, computers don't have testosterone.... At best, investment in the study of AI's existential threat diverts millions of dollars (and billions of neurons) away from research on serious questions... "The problem is not that artificial intelligence will get too smart and take over the world," computer scientist Pedro Domingos writes, "the problem is that it's too stupid and already has."
A footnote also finds a paradox in the arguments of Nick Bostrom, who has warned of that dangers superintelligent AI -- but also of the possibility that we're living in a computer simulation. "If AI kills everyone in the future, then we cannot be living in a computer simulation created by our decedents. And if we are living in a computer simulation created by our decedents, then AI didn't kill everyone. I think it a fair deduction that Professor Bostrom is wrong about something."
"Nobody likes being regulated," Musk wrote on Twitter Friday, "but everything (cars, planes, food, drugs, etc) that's a danger to the public is regulated. AI should be too."
Musk also thanked Microsoft on Twitter "for use of their Azure cloud computing platform. This required massive processing power."
It's such a big task, in fact, that DeepMind and Blizzard are including "mini-games" in the release, which break down different subtasks into "manageable chunks," including teaching agents to master tasks like building specific units, gathering resources, or moving around the map. The hope is that compartmentalizing these areas of play will allow testing and comparison of techniques from different researchers on each, along with refinement, before their eventual combination in complex agents that attempt to master the whole game.
Siemens's originally gave its automated factory project the badass Teutonic moniker "UberManufacturing." They weren't thinking of the German word connoting "superior," however, but rather of the on-demand car service. Part of their vision is that automated factories can generate bids for specialty, limited-run manufacturing projects and compete for customers in an online marketplace. "You could say, 'I want to build this stool,' and whoever has machines that can do that can hand in a quote, and that was our analogy to Uber," says Florian Michahelles, who heads the research group.