By BeauHD from Slashdot's what-will-they-think-of-next department
An anonymous reader shares an excerpt from a report via Quartz: As we've turned our gaze away from the stars and toward our screens, our anxiety about humanity's ultimate fate has shifted along with it. No longer are we afraid of aliens taking our freedom: It's the technology we're building on our own turf we should be worried about. The advent of artificial intelligence is increasingly bringing about the kinds of disturbing scenarios the old alien blockbusters warned us about. In 2016, Microsoft's first attempt at a functioning AI bot, Tay, became a Hitler-loving mess an hour after it launched. Tesla CEO Elon Musk urged the United Nations to ban the use of AI in weapons before it becomes "the third revolution in warfare." And in China, AI surveillance cameras are being rolled out by the government to track 1.3 billion people at a level Big Brother could only dream of. As AI's presence in film and TV has evolved, space creatures blowing us up now seems almost quaint compared to the frightening uncertainties of an computer-centric world. Will Smith went from saving Earth from alien destruction to saving it from robot servants run amok. More recently, Ex Machina, Chappie, and Transcendence have all explored the complexities that arise when the lines between human and robot blur.
However, sentient machines aren't a new anxiety. It arguably all started with Ridley Scott's 1982 cult classic, Blade Runner. It's a stunning depiction of a sprawling, smog-choked future, filled with bounty hunters muttering "enhance" at grainy pictures on computer screens. ("Alexa, enlarge image.") The neo-noir epic popularized the concept of intelligent machines being virtually indistinguishable from humans and asked the audience where our humanity ends and theirs begin. Even alien sci-fi now acknowledges that we've got worse things to worry about than extra-terrestrials: ourselves.Read Replies (0)
By BeauHD from Slashdot's first-of-its-kind department
In a bid to attract businesses involved in blockchain and cryptocurrencies, Arizona lawmakers have proposed a bill that would allow the state's citizens to pay their taxes in bitcoin. "Arizona State Rep. Jeff Weninger, who introduced the bill, said it was a signal to everyone in the United States, and possibly throughout the world, that Arizona was going to be the place to be for blockchain and digital currency technology in the future," reports Investopedia. From the report: Weninger, a Republican, also cited the ease of making online payments through the cryptocurrency "while you're watching television," as another reason. But he did not divulge much detail about the implementation of such a system. That might be the reason why Weninger faces an uphill battle in getting the bill approved by the state legislature. Bitcoin's price volatility is already being cited as a possible roadblock to implementing such a measure by state legislators. Arizona state senator Steve Farley, a Democrat who's running for governor, said the bill puts the "volatility burden" of bitcoin's price on taxpayers who make payments in U.S. dollars. "It would mean that the money goes to the state and then the state has to take responsibility of how to exchange it," Farley said.Read Replies (0)
By BeauHD from Slashdot's fix-it-again department
schwit1 shares a report from Ars Technica, highlighting the problems the Germany Navy is facing right now. It has no working submarines due to a chronic repair parts shortage, and its newest ships face problems so severe that the first of the class failed its sea trials and was returned to the shipbuilders in December. From the report: The Baden-Wurttemberg class frigates were ordered to replace the 1980s-era Bremen class ships, all but two of which have been retired already. At 149 meters (488 feet) long with a displacement of 7,200 metric tons (about 7,900 U.S. tons), the Baden-Wurttembergs are about the size of destroyers and are intended to reduce the size of the crew required to operate them. Like the Zumwalt, the frigates are intended to have improved land attack capabilities -- a mission capability largely missing from the Deutsche Marine's other post-unification ships. The new frigate was supposed to be a master of all trades -- carrying Marines to deploy to fight ashore, providing gunfire support, hunting enemy ships and submarines, and capable of being deployed on far-flung missions for up to two years away from a home port. As with the U.S. Navy's LCS ships, the German Navy planned to alternate crews -- sending a fresh crew to meet the ship on deployment to relieve the standing crew.
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By msmash from Slashdot's other-side-of-the-coin department
Bitcoin has essentially become the poster child for cryptocurrencies, and that's a problem for cybercriminals dealing on the dark web. From a report: Researchers from Recorded Future, a threat intelligence company, looked through 150 of the dark web's top marketplaces and forums and found that bitcoin's boom is driving shady characters away from the cryptocurrency. The rise of bitcoin has brought cryptocurrency -- digital alternatives to government-issued money -- to the mainstream, enticing people who are looking to get rich quick. Last December, bitcoin hit its all-time high at nearly $20,000, but it has since slumped and as of Thursday is trading at a little over the $8,000 mark. But before it was a massive investment that millionaires bought, it was the dark web's currency of choice, thanks to its decentralized and anonymous structure.Read Replies (0)
By msmash from Slashdot's little-boost department
Andrew Flemming and Geoff Fowler, both 29, along with their friend and business partner, Will Hamilton, 37, were pouring their creative energies into a high-tech training device the likes of which the sporting world had never seen. They were building a better broom. From a report: Not just any broom, but one that they thought could be essential to the sport of curling, which relies on the best broom handling out there as teams strategically cajole a polished granite rock across a sheet of ice. They wound up calling it the SmartBroom, and in a sport that can come across as vaguely primordial, their piece of 21st-century gadgetry could play a role in determining who wins gold at the 2018 Winter Olympics in Pyeongchang, South Korea. Each SmartBroom has four sensors in the broom head that relay data to a small display unit. Hamilton took one for a spin down the ice, and the data was instantaneous -- line graphs along with a slew of numbers that showed his force in pounds and his stroke rate in hertz. Hamilton also pointed to a figure that he described as his "sweeping performance index," or S.P.I., a metric that combines power and speed in one easy-to-digest figure. Patrick Janssen, a world-class curler from Canada, has consistently registered an S.P.I. in the 2,800 range. The numbers by themselves might not mean much, Flemming said, but subtle changes in technique can lead to big differences in the quality of each stroke. And now curlers have that information at their disposal. They can experiment to see which stroke works best for them.Read Replies (0)
By msmash from Slashdot's chaff-from-wheat department
Jason Pontin, writing for Wired: Sundar Pichai, the chief executive of Google, has said that AI "is more profound than ... electricity or fire." Andrew Ng, who founded Google Brain and now invests in AI startups, wrote that "If a typical person can do a mental task with less than one second of thought, we can probably automate it using AI either now or in the near future." Their enthusiasm is pardonable. [...] But there are many things that people can do quickly that smart machines cannot. Natural language is beyond deep learning; new situations baffle artificial intelligences, like cows brought up short at a cattle grid. None of these shortcomings is likely to be solved soon. Once you've seen you've seen it, you can't un-see it: deep learning, now the dominant technique in artificial intelligence, will not lead to an AI that abstractly reasons and generalizes about the world. By itself, it is unlikely to automate ordinary human activities. To see why modern AI is good at a few things but bad at everything else, it helps to understand how deep learning works. Deep learning is math: a statistical method where computers learn to classify patterns using neural networks. [...] Deep learning's advances are the product of pattern recognition: neural networks memorize classes of things and more-or-less reliably know when they encounter them again. But almost all the interesting problems in cognition aren't classification problems at all.Read Replies (0)