ALPHABET ALPHA MALE CEO Eric Schmidt has poured high horsery on panic-mongering artificial intelligence (AI) talk from Stephen Hawking and Elon Musk, and kind of accused them of not knowing what they're talking about.
Musk and Hawking have expressed concerns about the rise of the robots, and the former even has something of an escape plan.
Schmidt, who retains something to do with Google, which has a lot to do with robots and AI, reckons that this really is not the duo's bag.
A Business Insider report said that Schmidt was polled on the droid-panicked duo, who put their names to a study on the subject, during the Brilliant Minds conference in Stockholm, and served up a zinger.
"In the case of Stephen Hawking, although a brilliant man, he's not a computer scientist. "Elon [Musk] is also a brilliant man, though he too is a physicist, not a computer scientist," he said.
Ouch. Probably. Schmidt went further by suggesting that anyone who entertains thoughts of AI going all Skynet and destroying humanity struggles to tell fantasy from reality.
"The scenario you're describing is the one where the computers get so smart that they want to destroy us at some point in their evolving intelligence due to some bug. My question to you is: don't you think the humans would notice this, and start turning off the computers?" he said.
"We'd have a race between humans turning off computers, and the AI relocating itself to other computers. And in this mad race to the last computer, we can't turn it off, and that's a movie. It's a movie. The state of the Earth currently does not support any of these scenarios."
Now seems like a good time to remind ourselves that DeepMind, which is a Google AI thing that takes human boardgame players and smashes them to a pulp, recently published a research paper announcing the development of an AI kill switch.
"Safe interruptibility can be useful to take control of a robot that is misbehaving and may lead to irreversible consequences, or to take it out of a delicate situation, or even to temporarily use it to achieve a task it did not learn to perform or would not normally receive rewards for," said the paper that is presumably a huge waste of time. µ
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