🚀 This is issue #104 of THE EXPONENTIAL VIEW. Sign-up for the newsletter here. Dept of the near future 👩🏾⚕️ . What will happen when diagnosis is automated? essay by Siddhartha Mukherjee. AI meets the doctor STUNNING ☣️ by . Linguistic & frequency analysis of bot accounts may “point to Russia’s involvement in what looks to be a highly orchestrated influence campaign, conducted by fake social media accounts across multiple platforms”. (See also: , says Kate Starbird, a researcher. .) Bots, sockpuppets and misinformation Jonathon Morgan the information war is real Interesting paper by her here 💰 , says EV subscriber, . (See also on .) Brands need to fire adtech Doc Searls GOOD READ. Sapna Maheshwari how JPMorganChase reduced its advertising footprint from 400k sites to just 5,000 with the same result 🕵️ was discovered. “A less understood issue with algorithms and privacy is how computation can suss out things you did not disclose. Comey’s “secret” accounts [were found] simply because..” Zeynep Tufekci on how James Comey’s private Instagram feed EXCELLENT 🚘 ? Pretty wide-ranging, argues . What are the second order consequences of autonomous, electric vehicles Benedict Evans MUST READ The thanks to streaming. Now approaching 78.2% digital, the industry is half its 1999 peak, despite 11.2% growth last year. (See lobbyist & CEO of the RIAA, Cary Sherman, on ) 🎸 US music industry has seen double-digit growth perspective on the economics of digital music landscape. Dept of work (robots vs humans edition) 🤖 It seems like robots are taking jobs from humans, . according to most recent research from Daron Acemoglu and Pascual Restrepo Last year, the were much more buoyant about the fate of human workers in the face of automation. But now they estimate that robots pair of economists are to blame for up to 670,000 lost manufacturing jobs between 1990 and 2007, it concluded, and that number will rise because industrial robots are expected to quadruple. During that period, some estimate . Robots are thus responsible for about one in six lost manufacturing jobs in America over this period. that US manufacturing employment declined from 17.9m to 14m Acemoglu and Restrepo reckon the increase of 1 robot per thousand workers reduces employment rates (by between 0.18 and 0.34%) and wages (by between 0.25 and 0.5%). Another way to look at this is that every additional robot reduces employment by 5.6 workers. The International Federation of Robotics . The US has the third highest number of industrial robots in the world. . The fastest growing sectors are in automotive OEMs and component supply. reckons that the number of industrial robots in operation in the world will increase by about 25% between 2017 and 2019 Between the US and Canada there are a total of 269,000 robots Measured by intensity, that is how many robots are used per human worker, the US is far off the leaders. The most robo-intense manufacturers are in Asia. South Korea, which tops the list, has more than 500 robots per 10k manufacturing workers. In the US, that ratio is a more pedestrian 180–200. (That is still above the UK at fewer than 100 robots per 10k human employees.) If, and it’s a big if, US factories get as automated as those in South Korea, we would see an additional 500–600k robots come on stream. And extrapolating from the NBER data, that would increase pressure on 2.5 and 3m manufacturing jobs (and the attendant wages of the remaining workers in the sector). Time to revisit “ ” The Humans are dead. Elsewhere: says EV reader, . British and American governments remain oblivious to the threat Martin Bryant Places which lost most jobs to robots were less likely to support Hillary Clinton in the recent US election John Mauldin: A relative to other advanced Western economies. single variable explains why male labour force participation rates have declined so significantly in the US Noah Smith: How to help the White [US] working class live longer Many storied hedge funds, . including Blackrock and Tudor are replacing traders with algos Dept of machine intelligence EV reader, , . Amazon’s retail business is similar to a slow-moving stock exchange: Christopher Mims digs into the bot wars between Amazon.com sellers MUST READ The usual market dynamics are at work: Sellers entering and leaving the market, temporary scarcity when someone runs out of stock or a manufacturer falls behind, and sellers testing consumers and each other with high and low prices. Like the real stock market, automatic algorithms of increasing sophistication abound. These range from simplistic rule-based programmes that often suffer flash-crashes to learning systems. See also Stephen Levy from . The Backchannel Team on Amazon’s plan for drones Elsewhere: Lovely interview . between Jack Clark and Geoff Hinton on bringing neuroscience ideas into AI Accessible (shallow) . overview of OpenAI’s ‘evolution strategies’ research Heather Roff: Understanding animals can help us make the most of artificial intelligence Qualcomm Glance is an energy-efficient hardware module for computer vision. How in images (via ) EyeEm uses deep learning to understand aesthetic qualities Ramzi Rizk Small morsels to appear smart at dinner parties 🥇 . essay by Nick Szabo on our relationship with gold, silver and other precious metals. (15 min read.) Collecting metal STUNNING 💺 🚀 Luxury follows the elites . into space How many ? (It’s a good time to , if you haven’t already.) NSA hubs are scooping up your data learn about VPNs Connected dishwasher turns into a (Are consumer goods companies tooled up to respond to CERT alerts?) 🏳️ security hole. 🐙 A really : extraordinary cephalopods. big brain and a really short life could be the future of the lab-grown meat. Pluripotent cells Inside the . A tale of complexity. history’s worst plane crash Bill Gates and Ed Yong discuss the . power of microbes FASCINATING 👏 A patient with via brain-computer interface. paralysed arm and hand enacts reaching and grasping movements in our immune systems; researchers call the findings “remarkable”. Fasting flips a regenerative switch 🎧 100% accurate . reconstruction of the Ancient Greek music 🚀 Forwarded this from a friend? Sign-up to Exponential View here. is how hackers start their afternoons. We’re a part of the family. We are now and happy to opportunities. Hacker Noon @AMI accepting submissions discuss advertising & sponsorship To learn more, , , or simply, read our about page like/message us on Facebook tweet/DM @HackerNoon. If you enjoyed this story, we recommend reading our and . Until next time, don’t take the realities of the world for granted! latest tech stories trending tech stories
