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"The reason to look at humans is because there are certain things that humans do much better than deep-learning systems. That doesn't mean humans will ultimately be the right model. We want systems that have some properties of computers and some properties that have been borrowed from people. We don't want our AI systems to have bad memory just because people do. But since people are the only model of a system that can develop a deep understanding of something-literally the only model we've got-we need to take that model seriously."

"It is time now for two things: for people to wake up and realise how much our lives are dominated by such a small number of Silicon Valley bros, one hand in their jean pocket announcing their next move, and for tech companies to acknowledge their power and influence and become truly accountable."

"My entry point into this story began, as so many things do, with a late-night Google. Last December, I took an unsettling tumble into a wormhole of Google autocomplete suggestions that ended with "did the holocaust happen". And an entire page of results that claimed it didn't."

"The ships would use the internet of things - connecting a range of devices over the internet - to gather data, such as weather conditions and shipping information, and plot the shortest, most efficient and safest routes. By removing the potential for human error, the companies believe the technology could dramatically cut the number of accidents at sea."

"But, in fact, civic tech is a real thing, featuring real people, with real technical expertise, trying to hack around every democratic deficiency. They are trying to tackle everything from a sheer lack of easily accessible information to the shortcomings of the first-past-the-post system. "

"How can we help kids excel at the things that humans will always do better than AI?" Great talk - she also presented at recent IB conference in Yokohama.

"At the same time, the internet is constantly disappearing. It's a world of broken links and missing files-often because the people in charge cast things off on a whim. In 2019, MySpace lost 50 million music files and apologized for "the inconvenience." Around the same time, Flickr started deleting photos at random. Even though many of Vine's most unnerving or charming or "iconic" six-second videos have been preserved, its community was shattered when the platform was shut down. It doesn't help that the internet has no attention span and no loyalty: What isn't erased or deleted can still be quickly forgotten, buried under a pile of new platforms, new subcultures, and new joke formats. The feed refreshes, and so does the entire topography of the web."

"The first thing that came into my mind when I first heard about Deep Fakes, is what would happen if we could create DeepFakes in realtime and not just for existing videos or photos? Suppose we can go online with someone else's face, would this be funny or would this push the ethical boundaries even further? I decided to see how much effort it would be to try it out."

"Learning from rewards seems like the simplest thing. I make coffee, I sip coffee, I'm happy. My brain registers "brewing coffee" as an action that leads to a reward. That's the guiding insight behind deep reinforcement learning, a family of algorithms that famously smashed most of Atari's gaming catalog and triumphed over humans in strategy games like Go. Here, an AI "agent" explores the game, trying out different actions and registering ones that let it win."

"So when I discovered the pocket of Instagram where you can find out what it thinks you're interested in (on the app, you'll find it under Settings> Security> Access data > Ads), I obviously felt it my duty as a netizen to see what dark insights it had into my private soul. Here goes: jewellery; luxury goods; electronic music; love; emotions; fashion design; crafts. I mean: no offence, Kraftwerk (and loved ones) but I could not name eight things I am less interested in. Maybe oxbow lakes."

"A natural alternative to symbolic AI came to prominence: Instead of modeling high-level reasoning processes, why not instead model the brain? After all, brains are the only things that we know for certain can produce intelligent behavior. Why not start with them?"

"The disclosure points to a problem security researchers have been warning about for years: that despite its reputation for building what is seen by millions of customers as a secure product, some believe Apple's closed culture and fear of negative press have harmed its ability to provide security for those targeted by governments and criminals. "Apple's self-assured hubris is just unparalleled," said Patrick Wardle, a former NSA employee and founder of the Mac security developer Objective-See. "They basically believe that their way is the best way. And to be fair … the iPhone has had incredible success. "But you talk to any external security researcher, they're probably not going to have a lot of great things to say about Apple. Whereas if you talk to security researchers in dealing with, say, Microsoft, they've said: 'We're gonna put our ego aside, and ultimately realise that the security researchers are reporting vulnerabilities that at the end of the day are benefiting our users, because we're able to patch them.' I don't think Apple has that same mindset.""

"As of this summer, though, Sift does have a file on you, which it can produce upon request. I got mine, and I found it shocking: More than 400 pages long, it contained all the messages I'd ever sent to hosts on Airbnb; years of Yelp delivery orders; a log of every time I'd opened the Coinbase app on my iPhone. Many entries included detailed information about the device I used to do these things, including my IP address at the time."

"Marx had a point. Especially when it comes to ethics, philosophy is often better at finding complications and problems than proposing changes. Silicon Valley has been better at changing the world (even if through breaking things) than taking pause to think through the conse­quences."

"But it is not just governments who will be interested in the results. The software is freely available and cheap. It is being distributed all over the internet of things, from intercoms to "home assistants". Once our faces are attached to the detailed digital identities that are already compiled by the advertising industry, any sufficiently sophisticated shopping mall will have a map of the preferences of everyone who enters its maw."

""China has a politically weaponized system of censorship; it is refined, organized, coordinated and supported by the state's resources," said Xiao Qiang, a research scientist at the School of Information at the University of California, Berkeley, and the founder of China Digital Times. "It's not just for deleting something. They also have a powerful apparatus to construct a narrative and aim it at any target with huge scale." "This is a huge thing," he added. "No other country has that." "

"Will Knight wrote. "Last year, a strange self-driving car was released onto the quiet roads of Monmouth County, New Jersey… . The car didn't follow a single instruction provided by an engineer or programmer. Instead, it relied entirely on an algorithm that had taught itself to drive by watching a human do it. "Getting a car to drive this way was an impressive feat. But it's also a bit unsettling, since it isn't completely clear how the car makes its decisions…. What if one day it did something unexpected-crashed into a tree, or sat at a green light? As things stand now, it might be difficult to find out why." "

"The software, 4 Little Trees, was created by Hong Kong-based startup Find Solution AI. While the use of emotion recognition AI in schools and other settings has caused concern, founder Viola Lam says it can make the virtual classroom as good as - or better than - the real thing. Students work on tests and homework on the platform as part of the school curriculum. While they study, the AI measures muscle points on their faces via the camera on their computer or tablet, and identifies emotions including happiness, sadness, anger, surprise and fear. "

"In the beginning, we thought anonymity was part of the problem - that people being able to hide behind their screens without being identified were willing to say more extreme things than people who are named. But now you see people don't care about being named. They're willing to go to a public white supremacist rally unmasked with their full identity showing. They're proud of it. It doesn't make me believe more in humanity."

"Robots have been slow to appear because each one requires a rare confluence of market, task, technology, and innovation. (And luck. I only described some of the things that nearly killed Roomba.) But as technology advances and costs decline, the toolbox for robot designers constantly expands. Thus, more types of robots will cross the threshold of economic viability. Still, we can expect one constant. Each new, successful robot will represent a minimum-the simplest, lowest-cost solution to a problem people want solved. The growing set of tools that let us attack ever more interesting problems make this an exciting time to practice robotics."