But one worth revisiting today, in the context of the scandal over Facebook's sanctioning of user-data exfiltration via its application platform. It's not just that abusing the Facebook platform for deliberately nefarious ends was easy to do (it was). But worse, in those days, it was hard to avoid extracting private data, for years even, without even trying. I did it with a silly cow game. Cow Clicker is not an impressive work of software. After all, it was a game whose sole activity was clicking on cows. I wrote the principal code in three days, much of it hunched on a friend's couch in Greenpoint, Brooklyn. I had no idea anyone would play it, although over 180,000 people did, eventually. And yet, if you played Cow Clicker, even just once, I got enough of your personal data that, for years, I could have assembled a reasonably sophisticated profile of your interests and behavior. I might still be able to; all the data is still there, stored on my private server, where Cow Clicker is still running, allowing players to keep clicking where a cow once stood, before my caprice raptured them into the digital void.
1. On this empty road, the LIDAR is very capable of detecting her. If it was operating, there is no way that it did not detect her 3 to 4 seconds before the impact, if not earlier. She would have come into range just over 5 seconds before impact.
2.On the dash-cam style video, we only see her 1.5 seconds before impact. However, the human eye and quality cameras have a much better dynamic range than this video, and should have also been able to see her even before 5 seconds. From just the dash-cam video, no human could brake in time with just 1.5 seconds warning. The best humans react in just under a second, many take 1.5 to 2.5 seconds.
3. The human safety driver did not see her because she was not looking at the road. She seems to spend most of the time before the accident looking down to her right, in a style that suggests looking at a phone.
4.While a basic radar which filters out objects which are not moving towards the car would not necessarily see her, a more advanced radar also should have detected her and her bicycle (though triggered no braking) as soon as she entered the lane to the left, probably 4 seconds before impact at least. Braking could trigger 2 seconds before, in theory enough time.)
To be clear, while the car had the right-of-way and the victim was clearly unwise to cross there, especially without checking regularly in the direction of traffic, this is a situation where any properly operating robocar following "good practices," let alone "best practices," should have avoided the accident regardless of pedestrian error. That would not be true if the pedestrian were crossing the other way, moving immediately into the right lane from the right sidewalk. In that case no technique could have avoided the event. The overall consensus among experts is that one or several pieces of the driverless system may have failed, from the LIDAR system to the logic system that's supposed to identify road objects, to the communications channels that are supposed to apply the brakes, or the car's automatic braking system itself. According to Los Angeles Times, "Driverless car experts from law and academia called on Uber to release technical details of the accident so objective researchers can help figure out what went wrong and relay their findings to other driverless system makers and to the public."
Although the agency was interested in surveilling some competing cryptocurrencies, "Bitcoin is #1 priority," a March 15, 2013 internal NSA report stated. The documents indicate that "tracking down" Bitcoin users went well beyond closely examining Bitcoin's public transaction ledger, known as the Blockchain, where users are typically referred to through anonymous identifiers; the tracking may also have involved gathering intimate details of these users' computers. The NSA collected some Bitcoin users' password information, internet activity, and a type of unique device identification number known as a MAC address, a March 29, 2013 NSA memo suggested. In the same document, analysts also discussed tracking internet users' internet addresses, network ports, and timestamps to identify "BITCOIN Targets."
Among the part-time bot-hunters is French security researcher and freelance Android developer Baptiste Robert, who in February of this year noticed that Twitter accounts with profile photos of scantily clad women were liking his tweets or following him on Twitter. Aside from the sexually suggestive images, the bots had similarities. Not only did these Twitter accounts typically include profile photos of adult actresses, but they also had similar bios, followed similar accounts, liked more tweets than they retweeted, had fewer than 1,000 followers, and directed readers to click the link in their bios.
In some happy universe, this would lead to socially optimal outcomes, too. But a new body of research at the University of California's Institute of Transportation Studies suggests that the reality is far more complicated. In some scenarios, traffic-beating apps might work for an individual, but make congestion worse overall. And autonomous vehicles, touted as an answer to traffic-y streets, could deepen the problem. "This problem has been vastly overlooked," Alexandre Bayen, the director of UC Berkeley's Institute of Transportation Studies, told me. "It is just the beginning of something that is gonna be much worse." Bayen and a team of researchers presented their work earlier this year at the Transportation Research Board's annual meeting and at the Cal Future conference at Berkeley in May 2017. They've also published work examining the negative externalities of high levels of automatic routing.
Astonishing progress is being made on super-efficient industrial processes, connected and shared vehicles, electrification of air transport, precision agriculture, food science, synthetic fuels, industrial biochemistry, new materials like graphene and aerogels, energy and infrastructure blockchain, additive manufacturing, zero-carbon building materials, small nuclear fusion, and so many other areas. These technologies may not be cost-competitive today, but they all benefit from the same fearsome learning curves as we have seen in wind, solar and batteries. In addition, in the same way that ubiquitous sensors, cloud and edge-of-grid computing, big data and machine learning have enabled the transformation of our electrical system, they will unlock sweeping changes to the rest of our energy, transportation and industrial sectors.
Documents seen by the Observer, and confirmed by a Facebook statement, show that by late 2015 the company had found out that information had been harvested on an unprecedented scale. However, at the time it failed to alert users and took only limited steps to recover and secure the private information of more than 50 million individuals... On Friday, four days after the Observer sought comment for this story, but more than two years after the data breach was first reported, Facebook announced that it was suspending Cambridge Analytica and Kogan from the platform, pending further information over misuse of data. Separately, Facebook's external lawyers warned the Observer on Friday it was making "false and defamatory" allegations, and reserved Facebook's legal position...
The evidence Wylie supplied to U.K. and U.S. authorities includes a letter from Facebook's own lawyers sent to him in August 2016, asking him to destroy any data he held that had been collected by GSR, the company set up by Kogan to harvest the profiles... Facebook did not pursue a response when the letter initially went unanswered for weeks because Wylie was travelling, nor did it follow up with forensic checks on his computers or storage, he said. "That to me was the most astonishing thing. They waited two years and did absolutely nothing to check that the data was deleted. All they asked me to do was tick a box on a form and post it back."
Wylie worked with Aleksandr Kogan, the creator of the "thisisyourdigitallife" app, "who has previously unreported links to a Russian university and took Russian grants for research," according to the article. Kogan "had a licence from Facebook to collect profile data, but it was for research purposes only. So when he hoovered up information for the commercial venture, he was violating the company's terms...
"At the time, more than 50 million profiles represented around a third of active North American Facebook users, and nearly a quarter of potential U.S. voters."