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""This project also came on the heels of a very public debate about structural sexism in Wikipedia. [This] began when writer Amanda Filipacchi wrote a New York Times op-ed on a problematic editorial practice being implemented by a number of Wikipedia editors: women were being removed from the 'American Novelists' category and moved into a subcategory for 'American Women Novelists.'" Filipacchi's piece set the internet on fire, sparking a mass call for reform."

"Can you guess how long AlphaZero spent learning chess from scratch, preparing for the match against Stockfish 8, and developing its genius instincts? Four hours. For centuries, chess was considered one of the crowning glories of human intelligence. AlphaZero went from utter ignorance to creative mastery in four hours, without the help of any human guide."

"Robinhood's free-trading revolution helped pave the way to the recent Reddit mayhem on Wall Street. The rise of Robinhood means that the ability to buy stocks, on a whim, is now at everyone's fingertips. Robinhood has opened investing up to the masses. Rival online brokerages were forced to mimic Robinhood's zero-commission business model, and some joined forces just to survive. "

"After spending hours studying FAQ pages, sending terse emails and making occasional phone calls in an earnest-if-naive attempt to take back some control of my personal information online, I had my first demoralizing moment."

"A Taiwanese American model says a well-known fashion designer uploaded a digitally altered runway photo that made her appear white. In a TikTok about the incident that has been viewed 1.8m times in the last week, Shereen Wu says Michael Costello, a designer who has worked with Beyoncé, Jennifer Lopez, and Celine Dion, posted a photo to his Instagram from a recent Los Angeles fashion show. The photo depicts Wu in the slinky black ballgown that she walked the runway in - but her face has been changed, made to appear as if she is a white woman."

"But ChatGPT and similar programs are, by design, unlimited in what they can "learn" (which is to say, memorize); they are incapable of distinguishing the possible from the impossible. Unlike humans, for example, who are endowed with a universal grammar that limits the languages we can learn to those with a certain kind of almost mathematical elegance, these programs learn humanly possible and humanly impossible languages with equal facility. Whereas humans are limited in the kinds of explanations we can rationally conjecture, machine learning systems can learn both that the earth is flat and that the earth is round. They trade merely in probabilities that change over time."

"But on the downside it has led to a loss of face-to-face contact, which can have negative consequences, particularly when it comes to education. What's more, there are also health impacts to consider. New scientific research indicates that spending large amounts of time in front of the computer, or other devices such as tablets and cell phones, can be harmful to our health. This is largely due to the blue light emitted by electronic devices, which expose us to light-emitting diodes (LEDs)."

" A finance worker at a multinational firm was tricked into paying out $25 million to fraudsters using deepfake technology to pose as the company's chief financial officer in a video conference call, according to Hong Kong police. The elaborate scam saw the worker duped into attending a video call with what he thought were several other members of staff, but all of whom were in fact deepfake recreations, Hong Kong police said at a briefing on Friday. "(In the) multi-person video conference, it turns out that everyone [he saw] was fake," senior superintendent Baron Chan Shun-ching told the city's public broadcaster RTHK. Chan said the worker had grown suspicious after he received a message that was purportedly from the company's UK-based chief financial officer. Initially, the worker suspected it was a phishing email, as it talked of the need for a secret transaction to be carried out. However, the worker put aside his early doubts after the video call because other people in attendance had looked and sounded just like colleagues he recognized, Chan said."