{"action":"created","comment":{"url":"https://api.github.com/repos/IEEE-NITK/ieee-nitk.github.io/pulls/comments/148958767","pull_request_review_id":74282844,"id":148958767,"diff_hunk":"@@ -0,0 +1,44 @@\n+---\n+layout: post\n+title: \"Beginig Of The End- Have The Machines Won?\"\n+author_github: smarty1palak\n+date: 2017-11-04 23:32:44\n+image: '/assets/img/'\n+description: 'A Viewpoint on the immense growth of artificial intelligence in the recent times and its impact on future.'\n+tags:\n+- IEEE NITK\n+- CompSoc\n+categories:\n+- Compsoc\n+github_username: smarty1palak\n+---\n+\n+\n+\n+**BEGINING OF THE END--Have the machines won?**\n+\n+Wondering when artificially intelligent robots will take over the Earth? Wonder no more — they’ve already done it! You’re probably thinking *“But wait… Wouldn’t I have noticed if chrome-plated autonomous killing machines began to exterminate humans?”* Not necessarily.\n+\n+It turns out evil robots in cyber-space are nowhere near as flashy as their science-fiction counterparts. We envisioned Cylons, Terminators, and Cyborgs but failed to imagine the much more immediate threat of helpful neural-network learning algorithms. I’m talking about Alexa, Echo, Siri, Google Home, the Internet of Things, even social networking platforms masquerading as news sources. They control content. They learn what we like, what we crave, what we fear. They feed us content designed to keep us coming back for more. We are already dependent on them to an extent nobody watching Arnold Schwarzenegger gun down Terminators could have predicted. And yet, 20 years later Arnold was Governor of California, and a dozen years after that, Trump became President of the Free World.\n+\n+Let's look at a recent advancement. The computer that stunned humanity by beating the best mortal players at a strategy board game requiring \"intuition\" has become even smarter.\n+Even more startling, the updated version of AlphaGo is entirely self-taught—a major step towards the rise of machines that achieve superhuman abilities \"with no human input\".\n+Dubbed AlphaGo Zero, the Artificial Intelligence (AI) system learnt by itself, within days, to master the ancient Chinese board game known as \"Go\"—said to be the most complex two-person challenge ever invented.\n+It came up with its own, novel moves to eclipse all the Go acumen humans have acquired over thousands of years.\n+After just three days of self-training it was put to the ultimate test against AlphaGo, its forerunner which previously dethroned the top human champs.\n+AlphaGo Zero won by 100 games to zero.\n+\"AlphaGo Zero not only rediscovered the common patterns and openings that humans tend to play... it ultimately discarded them in preference for its own variants which humans don't even know about or play at the moment,\" said AlphaGo lead researcher David Silver.","path":"blog_src/2017-11-4-begining of the end-have the machines 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quotes?","created_at":"2017-11-05T14:27:57Z","updated_at":"2017-11-05T14:27:57Z","html_url":"https://github.com/IEEE-NITK/ieee-nitk.github.io/pull/96#discussion_r148958767","pull_request_url":"https://api.github.com/repos/IEEE-NITK/ieee-nitk.github.io/pulls/96","author_association":"NONE","_links":{"self":{"href":"https://api.github.com/repos/IEEE-NITK/ieee-nitk.github.io/pulls/comments/148958767"},"html":{"href":"https://github.com/IEEE-NITK/ieee-nitk.github.io/pull/96#discussion_r148958767"},"pull_request":{"href":"https://api.github.com/repos/IEEE-NITK/ieee-nitk.github.io/pulls/96"}},"in_reply_to_id":148957783},"pull_request":{"url":"https://api.github.com/repos/IEEE-NITK/ieee-nitk.github.io/pulls/96","id":150722176,"html_url":"https://github.com/IEEE-NITK/ieee-nitk.github.io/pull/96","diff_url":"https://github.com/IEEE-NITK/ieee-nitk.github.io/pull/96.diff","patch_url":"https://github.com/IEEE-NITK/ieee-nitk.github.io/pull/96.patch","issue_url":"https://api.github.com/repos/IEEE-NITK/ieee-nitk.github.io/issues/96","number":96,"state":"open","locked":false,"title":"Blog 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