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"The investigation reveals extraordinary details about how disinformation is being weaponised by Team Jorge, which runs a private service offering to covertly meddle in elections without a trace. The group also works for corporate clients. Hanan told the undercover reporters that his services, which others describe as "black ops", were available to intelligence agencies, political campaigns and private companies that wanted to secretly manipulate public opinion. He said they had been used across Africa, South and Central America, the US and Europe."

"However, this relationship between social media use and political polarization seems to depend a lot on duration of exposure and does not appear in all the samples surveyed. Thus, recent studies exploring the effects of stopping Facebook and Instagram use failed to observe that social media noticeably polarize users' political opinions. Let us always remember that narratives pointing to threats on society enjoy a considerable competitive advantage on the market of ideas and conversations, due to their attractiveness to our minds. One should thus approach the question of the relationship between social media, and political hostility and polarisation, by avoiding the symmetrical pitfalls of naive optimism and collective panic."

"Recent experiments suggest AI peer reviews tend to be surprisingly good, with 82.4% of scientists finding AI peer reviews more useful than at least some of the human reviews they received from on a paper, and other work suggests AI is reasonably good at spotting errors, though not as good as humans, yet. Regardless of how good AI gets, the scientific publishing system was not made to support AI writers writing to AI reviews for AI opinions for papers later summarized by AI. The system is going to break."

"The significance of the attack on Krebs is that it looks as though many of the attacks on him came from large numbers of enslaved devices - routers, cameras, networked TVs and the like. "Someone has a botnet with capabilities we haven't seen before," says Martin McKeay, Akamai's senior security expert. The DDoS arms race has just moved up a gear."

"Now You See It" - teaching skills that a student will need is this the route that we must follow?

Yikes - definitely a wakeup call?

"There it is. If you run a business, and the FBI or NSA want to turn it into a mass surveillance tool, they believe they can do so, solely on their own initiative. They can force you to modify your system. They can do it all in secret and then force your business to keep that secret. Once they do that, you no longer control that part of your business. You can't shut it down. You can't terminate part of your service. In a very real sense, it is not your business anymore. It is an arm of the vast U.S. surveillance apparatus, and if your interest conflicts with theirs then they win. Your business has been commandeered."

Is too much surveillance actually harming our ability to detect terrorist plots?

Great article from Brucie...

"The really significant thing about AlphaGo is that it (and its creators) cannot explain its moves. And yet it plays a very difficult game expertly. So it's displaying a capability eerily similar to what we call intuition - "knowledge obtained without conscious reasoning". Up to now, we have regarded that as an exclusively human prerogative. It's what Newton was on about when he wrote "Hypotheses non fingo" in the second edition of his Principia: "I don't make hypotheses," he's saying, "I just know.""

"Nemitz identifies four bases of digital power which create and then reinforce its unhealthy concentration in too few hands: lots of money, which means influence; control of "infrastructures of public discourse"; collection of personal data and profiling of people; and domination of investment in AI, most of it a "black box" not open to public scrutiny. The key question is which of the challenges of AI "can be safely and with good conscience left to ethics" and which need law. Nemitz sees much that needs law."

"This affects all of us every single day. When the algorithms that govern increasingly large parts of our lives have been designed almost exclusively by young bro-grammers with homogeneous experiences and worldviews, those algorithms are going to fail significant sections of society. A heartbreaking example of this is Gillian Brockell's experience of continuing to get targeted by pregnancy-related ads on Facebook after the stillbirth of her son. Brockell, a Washington Post journalist, recently made headlines when she tweeted an open letter to big tech companies, imploring them to think more carefully about how they target parenting ads."

" Critics have pointed out that the old computing adage "garbage in, garbage out" also applies to ML. If the data from which a machine "learns" is biased, then the outputs will reflect those biases. And this could become generalised: we may have created a technology that - however good it is at recommending films you might like - may actually morph into a powerful amplifier of social, economic and cultural inequalities."

"About 70% of the world's online traffic is reckoned to pass through Loudoun County. But there is a big problem, centred on a power company called Dominion, which supplies the vast majority of Loudoun County's electricity. According to a 2017 Greenpeace report, only 1% of Dominion's total electricity comes from credibly renewable sources:"