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One way to develop a reputation as a visionary is to come up with a well-known, startlingly prescient prediction that proves true.
I have a hard time wrapping my head around that." Musk tweeted his response. , “Some in Silicon Valley argue that Musk is interested less in saving the world than in buffing his brand, and that he is exploiting a deeply rooted conflict: the one between man and machine, and our fear that the creation will turn against us.” Be that as it may, some are not as sanguine as Zuckerberg about what awaits us down the road with AI."We can train this whole system in an end-to-end fashion.That makes it much easier for [Google] to focus on reducing the final error rate." says Google engineer Mike Schuster, one of the lead authors on the paper Google released on the tech today and a member of the Google Brain team, which oversees the company's AI work. But you can tell that it is much, much better."All the big Internet giants are moving in the same direction, training deep neural nets using translations gathered from across the Internet.For now, it only translates from Chinese into English—perhaps a key translation pair in Google's larger ambitions.But the company plans to roll it out for the more than 10,000 language pairs now handled by Google Translate.
"First the machines will do a lot of jobs for us and not be super intelligent. A few decades after that though the intelligence is strong enough to be a concern.