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"But, for a growing number of users - and mental health experts - the very positivity of Instagram is precisely the problem. The site encourages its users to present an upbeat, attractive image that others may find at best misleading and at worse harmful. If Facebook demonstrates that everyone is boring and Twitter proves that everyone is awful, Instagram makes you worry that everyone is perfect - except you."

"But researchers have approximately zero clues as to why it's so good at it, and it doesn't help that the AI essentially taught itself to make these predictions. According to one researcher involved in the project, "We can build these models, but we don't know how they work.""

"He had discovered that human learning was communal and interactive. For a robot, the acquisition of language was abstract and formulaic. For us, it was embodied, emotive, subjective, quivering with life. The future of intelligence wouldn't be found in our machines, but in the development of our own minds."

"Second Life, Thinking Worlds, Unity3D and others were all making inroads into the realm of corporate learning and there was a buzz about it in the L&D market, which, at the time, had a reputation for churning out spectacularly boring and poorly designed compliance-based eLearning. One major mobile phone network with whom I worked back in 2008 had a vision of enlivening their learner experience by providing a 3D avatar-based portal into their learning management system, which at the time hosted solidly 2D page-turner eLearning of a very pedestrian nature."

"Princeton computer science professor Arvind Narayanan calls Zoom a "privacy disaster," filled with "creepy" features that send tracking data to Facebook even if you don't have a Facebook account and tell meeting hosts if attendees aren't paying attention. Zoom's privacy policy allows it to use what it calls "customer content" for advertising purposes."

"It's like turning the clock back to a more earnest time on the web, when the novelty of having a voice or being able to connect with anyone still filled us with a sense of boundless opportunity and optimism. It harkens back to the late 1990s and early 2000s-before social media, before smartphones-when going online was still a valuable use of time to seek community."

"Why care? Because understanding manipulation is crucial in the current critical debate about digital technologies in moral philosophy and related disciplines."

"We are talking about vast fields of aggregate data, the scale of which is difficult to comprehend; this data can be parsed by the artificial intelligence recommendation algorithms that Google has pioneered, and that now steer everything from employment application processes to dating apps."

" "Why isn't my face being detected? We have to look at how we give machines sight," she said in a TED Talk late last year. "Computer vision uses machine-learning techniques to do facial recognition. You create a training set with examples of faces. However, if the training sets aren't really that diverse, any face that deviates too much from the established norm will be harder to detect.""

"Coding isn't the only job that demands intense focus. But you'd never hear someone say that brain surgery is "fun," or that structural engineering is "easy." When it comes to programming, why do policymakers and technologists pretend otherwise?"

"In October, American teachers prevailed in a lawsuit with their school district over a computer program that assessed their performance. The system rated teachers in Houston by comparing their students' test scores against state averages. Those with high ratings won praise and even bonuses. Those who fared poorly faced the sack. The program did not please everyone. Some teachers felt that the system marked them down without good reason. But they had no way of checking if the program was fair or faulty: the company that built the software, the SAS Institute, regards its algorithm a trade secret and would not disclose its workings."

"Automating teaching is an example of a task that would require artificial general intelligence (as opposed to narrow or specific intelligence). In other words, this is the kind of task that would require an AI that understands natural human language, can be empathetic towards emotions, plan, strategize and make impactful decisions under unpredictable circumstances."

"In a paper titled "Towards Causal Representation Learning," researchers at the Max Planck Institute for Intelligent Systems, the Montreal Institute for Learning Algorithms (Mila), and Google Research discuss the challenges arising from the lack of causal representations in machine learning models and provide directions for creating artificial intelligence systems that can learn causal representations."

"He never got the chance to find out. A week later, he opened up his digital "wallet," where the artwork would supposedly be available, and was faced with an ominous banner reading, "This page has gone off grid. We've got a 404 error and explored deep and wide, but we can't find the page you're looking for."  The artwork, which he expected to be on the page, had disappeared entirely. "There was no history of my ever purchasing it, or ever owning it," he said. "Now there's nothing. My money's gone.""

"A "massive anti-vaccination campaign" has been cited by the European Commission as a reason for social media platforms to intensify their factchecking and revise the internal algorithms that can amplify disinformation. Under a revised code of practice proposed by Brussels, companies such as Facebook, Google and Twitter would need to show why particular material is disseminated and prove that false information is being blocked."

"It can be a tricky balance, especially as machines become more sophisticated. "Usually artificial intelligence systems are capable of coping better than humans because, as an example, they don't suffer from annoyance. They are infinitely patient, they don't care about wasting time," says Mauro Migliardi, associate professor at the University of Padua in Italy. He recently coauthored a paper summarizing 20 years of captcha versions and their effectiveness."

"What if this isn't just a one-off case of a popular professor dying. With so many classes online, why wouldn't universities just lay off any professor with a body of recorded lectures? We already know that tenure is harder to achieve every year, and schools are relying more and more on adjunct professors who teach a couple of classes on yearly contracts with no benefits. This scheme could save schools even more money! Of course, tuition will remain the same. One prof in the Twitter thread saw this possibility already."

"Ransomware analysts offered several possible explanations for why the master key has now appeared. It is possible Kaseya, a government entity, or a collective of victims paid the ransom. The Kremlin in Russia also might have seized the key from the criminals and handed it over through intermediaries, experts said."

"Jim Baker served as the FBI's general counsel from 2014 until 2017, and he presided over the the FBI's attempt to force Apple to undermine its cryptography under the rubric of investigating the San Bernadino shooters; he has long been a prominent advocate for mass surveillance, but he has had a change of heart: in a long, detailed essay on Lawfare, Baker explains why he believes that governments should not seek to introduce defects into cryptographic systems."

"Activists from Fight for the Future prowled the halls of Congress in "jumpsuits with phone strapped to their heads conducting live facial recognition surveillance" to "show why this tech should be banned.""