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An anonymous reader quotes a report from Reuters: The state of New Mexico asked a judge on Thursday to order Meta Platforms to pay between $35 billion and $40 billion in penalties after a jury found the company had misled consumers about the privacy of their data on Facebook in a case that came out of the Cambridge Analytica scandal. Attorneys for New Mexico made the request at a hearing in a lawsuit brought following revelations that the British political consulting firm, which worked on Donald Trump's 2016 presidential campaign, harvested personal data from as many as 87 million Facebook users through a third-party app without their consent. The jury returned its verdict on September 25. Judge Francis Mathew, who oversaw the trial in Santa Fe, will decide how much Meta must pay in financial penalties. [...] State law allows the judge to decide how much to fine Meta per violation, up to $5,000. At the hearing on Thursday, Randi McGinn, a lawyer for New Mexico, said applying the full $5,000 penalty to the number of violations would create too large of a penalty under the US Constitution's protections on due process. But the judge should order a significant payment that will impact the company, McGinn said. "This court should speak to Meta in the only language it understands, which is money, and the value of its stock price," McGinn said. She said $35 billion to $40 billion, which represents about 20% of the possible penalties that could be awarded under state law from the verdict, would impact the stock price while complying with Meta's right to due process under the Constitution. At the hearing on Thursday, Matt Nicholson, a lawyer for Meta, called the state's request an "astronomical penalty that would obviously violate a host of constitutional provisions." In court filings, Meta urged Mathew to cap the penalties at $3.45 billion. The jury may have said it found Meta's statements misleading, but the evidence shows that Meta does not sell user data and New Mexico did not prove that any consumer had actually been misled, the company said in court filings. The judge said he expected to issue a ruling later this month.

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03 Oct 2026 3:30am GMT

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03 Oct 2026 3:15am GMT

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03 Oct 2026 1:09am GMT

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03 Oct 2026 12:55am GMT

Wine 11.19 introduces DNS query caching, Unicode 18.0 character tables, GDIPlus vertical text support, VBScript improvements, and 23 bug fixes.

02 Oct 2026 11:30pm GMT

Meta says FDA isn't sufficient to Muse reading messages. Apple begs to differ.

02 Oct 2026 11:03pm GMT

Researchers from Carnegie Mellon, MIT, NYU, and Stanford have built an AI called Ataraxos that finally cracked Stratego, beating four-time world champion Pim Niemeijer 15 games to one with four draws. Its key advantage was a second neural network that estimates the identities of hidden enemy pieces, letting the system search plausible game states rather than brute-force a massive hidden-information space. Ars Technica reports: Just like [DeepMind's DeepNash, introduced in 2022], Ataraxos learned by playing against itself -- 163 million games in total. In these self-play sessions, moves that led to wins were reinforced and played more often in future matches, while moves that led to losses were played less, which was the same simple training idea. The difference was in how much Ataraxos adjusted after each game, because hidden information tends to send self-play learning algorithms around in circles. The team addressed this by making big, bold changes in strategy early in training and small, careful ones later. The even bigger innovation was something DeepNash never had: thinking ahead before each move. AIs like AlphaGo refine their general strategy with a search just before acting. DeepMind couldn't make that work in Stratego because the search space was too large, leaving it an open question whether it was worth trying. "This is one of the things that we did figure out how to do," Farina said. The solution was a second neural network, a belief model, trained to guess the opponent's hidden pieces based on how they had been moving. This way, instead of iterating through every possible arrangement, Ataraxos samples plausible ones, plays out candidate moves in each, and picks based on how they turned out. And it shows in its playstyle. [...] DeepNash was trained for two to three months on 1,024 of Google's specialized chips, a run the Ataraxos team estimates would cost $3 million to $4.5 million at 2025 prices. Ataraxos, in contrast, needed 16 GPUs for a week, plus an additional four GPUs for four days to train the belief model. Farina and lead author Samuel Sokota achieved this efficiency by writing a simulator that runs millions of moves per second on graphics cards. "At the scale that we are in academia, we don't really have access to an entire field of GPUs," Farina said. The algorithm also learned far faster -- it played about 34 times fewer games than DeepNash, and still ended up much stronger. The findings have been published in the journal Nature.

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02 Oct 2026 11:00pm GMT

Longtime Slashdot submitter theodp writes: GeekWire reports that the University of Washington has moved its Global Innovation Exchange {GIX) program to Microsoft's campus in a rent-free deal (UW News release). GIX, an institute supporting tech leaders that offers an MS in Technology Innovation, is the first UW program to set up full-time operations at Microsoft, whose headquarters are just across Lake Washington from the university's main campus. Microsoft provided a $42 million in-kind donation to establish the embedded facility; the UW is leasing the new 48,500-square-foot GIX space in Microsoft's Building 92 rent-free. GIX debuted in 2015 as a partnership of the UW and China's Tsinghua University and received $70 million in Microsoft support at the now-abandoned GIX location in Bellevue (the Steve Ballmer Building), although indications are that a long-term arrangement did not come together as intended. In a Thursday LinkedIn post, Microsoft President Brad Smith wrote: "Last night we opened a door unlike any other. At the heart of Microsoft's campus, step into the new home of the UW's Global Innovation Exchange (GIX) and you cross from Microsoft into the University of Washington. No one has ever put a great research university and a leading technology company under the same roof quite like this. As far as I know, no one has even tried. The timing matters. Artificial intelligence is advancing fast. The question is whether the people building it understand the world it's changing. This calls for a new style of education and leadership. We need leaders who understand the technology deeply and see things through other people's eyes. Leaders who learn by collaborating on real projects with people from different countries and disciplines. That's what GIX is built for. Students will learn from faculty across the UW, take classes taught by Microsoft employees, and be mentored by people from across our industry here in the Pacific Northwest." Interestingly, Smith's contention that UW GIX students will benefit from a 'new style' of Microsoft and industry-influenced education sounds a lot like Smith's contention that K-12 school children are better off thanks to a new style of Microsoft and industry-influenced education. In an interview last month, Coding Kids: Big Tech's Battle to Remake Public Schools author Natasha Singer told NPR (podcast, transcript), "For my book, I spoke to Brad Smith, who's the president of Microsoft, and he has been one of the leaders in the tech industry pushing for [K-12] computer science [and now AI literacy] in schools. [...] And Brad Smith said, philanthropy in the private sector is doing this work because public schools have failed to do what they were supposed to do. And his view is that public schools should be teaching modern subjects like computer science, and they were not equipped to do it fast enough and the tech industry stepped in to help. And is it better than if schools were able to do this themselves? He said, no, but it's certainly better than nothing. And he said to me, you know, think about where we would be on computer science if the tech industry hadn't stepped up. [...] Well, I've been having this conversation with him for 10 years, and when we started having it 10 years ago, I said to him, I get that, but when big tech companies put their finger on the scale, it tips education in certain ways that not only favor the tech industry but can obscure equally or more important things." So, is "The University of Washington at Microsoft" a good or bad idea?

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02 Oct 2026 10:00pm GMT

1,300 lines of SQL querying renders accurate bitmapped views of Hell at 35 fps.

02 Oct 2026 9:19pm GMT

Amazon praised for ending NDAs but slammed for downplaying data center pollution.

02 Oct 2026 8:30pm GMT

System76's COSMIC project now requires contributors to confirm that pull requests contain no LLM-generated code, comments, or descriptions.

02 Oct 2026 7:22pm GMT

The first maintenance update in the LibreOffice 26.8 series fixes crashes, import issues, PDF export bugs, and Microsoft Office compatibility problems.

02 Oct 2026 3:23pm GMT