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"The lack of answers the Jacksonville sheriff's office have provided in Lynch's case is representative of the problems that facial recognition poses across the country. "It's considered an imperfect biometric," said Garvie, who in 2016 created a study on facial recognition software, published by the Center on Privacy and Technology at Georgetown Law, called The Perpetual Line-Up. "There's no consensus in the scientific community that it provides a positive identification of somebody.""

"You're craving a McFlurry, or a Shamrock Shake."

"The platforms that control search were conceived in sin. Their business model auctions off our most precious and limited cognitive resource: attention. These platforms work overtime to hijack our attention by purveying information that arouses curiosity, outrage, or anger. The more our eyeballs remain glued to the screen, the more ads they can show us, and the greater profits accrue to their shareholders."

"They still have far more advanced technology that they haven't made publicly available yet. Something that does more or less what Bard does could have been released over two years ago. They've had that technology for over two years. What they've spent the intervening two years doing is working on the safety of it - making sure that it doesn't make things up too often, making sure that it doesn't have racial or gender biases, or political biases, things like that. That's what they spent those two years doing. But the basic existence of that technology is years old, at this point. And in those two years, it wasn't like they weren't inventing other things. There are plenty of other systems that give Google's AI more capabilities, more features, make it smarter. The most sophisticated system I ever got to play with was heavily multimodal - not just incorporating images, but incorporating sounds, giving it access to the Google Books API, giving it access to essentially every API backend that Google had, and allowing it to just gain an understanding of all of it."

"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."

"The alleged cybercriminals are thought to have carefully planned out an elaborate and hyper-targeted phishing scam that went after employees of large companies like MGM and Twilio. In fact, Scattered Spider's breach at MGM, which involved a phone call to the company's help desk, resulted in a temporary shut down of the company's hotel and casino operations, costing the company $100 million. The Scattered Spider plan of attack involved sending text messages to employees at the targeted companies while pretending to be part of their employer's IT department. The texts urged the employees to login to a link provided in the text message, otherwise, the text message claimed, their employee accounts would be deactivated."