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""We may not take action on and cannot respond to each report in the experiment, but your input will help us identify trends so that we can improve the speed and scale of our broader misinformation work." "

"Alex Naka, a data scientist at a biotech firm who signed up to test Copilot, says the program can be very helpful, and it has changed the way he works. "It lets me spend less time jumping to the browser to look up API docs or examples on Stack Overflow," he says. "It does feel a little like my work has shifted from being a generator of code to being a discriminator of it.""

"A report by investigators from the Digital Forensic Lab, a global network of digital forensic researchers run by US-based thinktank the Atlantic Council, reveals how pro-Russian Facebook pages in Mali coordinated support for anti-democracy protests and the Wagner group, a controversial Russian private military contractor that was invited into the unstable country last year after the overthrow of President Bah N'daw by the military."

"Open AI researchers said that while it was "impossible to reliably detect all AI-written text", good classifiers could pick up signs that text was written by AI. The tool could be useful in cases where AI was used for "academic dishonesty" and when AI chatbots were positioned as humans, they said."

"The intriguing echo of Eliza in thinking about ChatGPT is that people regard it as magical even though they know how it works - as a "stochastic parrot" (in the words of Timnit Gebru, a well-known researcher) or as a machine for "hi-tech plagiarism" (Noam Chomsky). But actually we do not know the half of it yet - not the CO2 emissions incurred in training its underlying language model or the carbon footprint of all those delighted interactions people are having with it. Or, pace Chomsky, that the technology only exists because of its unauthorised appropriation of the creative work of millions of people that just happened to be lying around on the web? What's the business model behind these tools? And so on. Answer: we don't know."

"Schwartz told the court that he "greatly regrets" using ChatGPT to do his research for the case "and will never do so in the future without absolute verification of its authenticity." Judge Castel, however, doesn't seem swayed, and in his May 4 order he in no uncertain terms described the gravity of the situation. "The Court is presented with an unprecedented circumstance," reads the judge's order for a future hearing. "A submission filed by plaintiff's counsel in opposition to a motion to dismiss is replete with citations to non-existent cases... six of the submitted cases appear to be bogus judicial decisions with bogus quotes and bogus internal citations.""

"It was a trick as audacious as it was ingenious. When police or regulators opened the Uber app, they would see exactly what the public saw: dozens of cars crawling around the city, waiting to be summoned. But there was one crucial difference: these cars were fake. Uber had built a dummy version of its own app, a secret tool known as Greyball, designed to throw regulators off the scent and help its unlicensed cab drivers evade the law."

"As Redditor actual_hacker said in a thread, the big point of this article: "The US has built a SIM-card kill list. They're shooting missiles at cell phones without caring about who is holding the phone. That is why so many innocent people keep getting killed. That is what this story is about. The next time someone says "it's just metadata," remember this story. Innocent people die because of NSA's use of metadata: the story cites 14 women and 21 children killed in just one operation. All because of metadata.""

"Facebook failed to label 80% of articles on its platform promoting a fast-spreading conspiracy theory that the US is funding the use of bioweapons in Ukraine, according to a study released Friday by the Center for Countering Digital Hate (CCDH)."

"This text is the AI's mainsource of information about the world as it is being built, and it influences how it responds to users. If it aces the bar exam, for example, it's probably because its training data included thousands of LSAT practice sites. Tech companies have grown secretive about what they feed the AI. So The Washington Post set out to analyze one of these data sets to fully reveal the types of proprietary, personal, and often offensive websites that go into an AI's training data."