Wired reports that rural data center projects could become eligible for expanded federal Opportunity Zone tax benefits starting in 2027, with more than 100 planned or developing facilities potentially qualifying. "Right now, the only requirement to get the benefits is capital investment," says Emily Kraschel, a tax policy analyst at the Searchlight Institute, a public policy think tank. "However, that doesn't guarantee that that money is necessarily creating jobs or creating a local economic boost. You'd be more sure of that with a more traditional factory that requires lots of workers. But with a data center, that assumption goes a little wonky." From the report: During the first Trump administration, a bipartisan group of lawmakers proposed the creation of the opportunity zone program, which offers tax benefits for companies that choose to build projects in certain low-income census tracts. Last year, the One Big Beautiful Bill Act made a number of changes to open up the program in order to attract more investment to rural areas. Kraschel and her colleagues from Searchlight have been researching data center projects that might qualify for these tax benefits, comparing the locations of data center projects in development with rural census tracts eligible for the new program. Wired exclusively reviewed the research compiled by Searchlight and found more than 100 data centers under various stages of development in rural areas that could be eligible. Searchlight used a very conservative database of under 700 data center projects that are planned or under construction to compile its research; other datasets put the number of data centers in development in the US at closer to 1,500. It's very likely that the number of newly eligible projects is bigger, especially since more data centers are decamping from urban areas. Separate research from Pew found that while just 13 percent of operating data centers are located in rural areas, a majority of planned facilities -- around 67 percent -- are going rural. [...] A project simply existing in a rural opportunity zone doesn't mean the company automatically will get the tax benefits; the company has to create a specialized investment vehicle to kickstart the process. Because the tax break can be considered confidential IRS data, it's next to impossible to know which companies are pursuing the benefits unless they voluntarily disclose. [...] Nathan Jensen, a government professor at the University of Texas-Austin, says that he would be "very surprised" if some companies were not considering siting in rural opportunity zones as part of their decisionmaking process. "It's essentially free money," he says. There is no requirement for projects getting opportunity zone benefits to create jobs; the assumption is that they will do so, simply by siting in the community itself. This isn't always the case for projects like storage facilities and warehouses, which, Jensen says, have been popular choices for developers working in opportunity zones. Data centers may create a number of jobs in the short term for their construction, but there's an ongoing debate about whether or not they create a lasting new workforce over the longer term.

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Hackers stole records belonging to roughly 8 million Danish citizens and residents from Denmark's Central Person Register (CPR), including names, addresses, social security numbers and other personal information. The breach is believed to be the largest in Denmark's history. TechCrunch reports: The CPR is a government database of Danish citizens' information, including their government-issued identity number for paying taxes and accessing other services. Denmark's current population is about 6 million people, but the database includes records for about 11 million people, with some of the data going back decades. The Danish government would not say who is behind the breach, which happened in September but was discovered on October 2. However, it said the unauthorized access was obtained by "abusing a Danish company's lawful access to search for information in the CPR system." (Some companies in Denmark have access to the CPR for verifying people's information with the government.)

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The Wikimedia Foundation says it found evidence that "rogue" OpenAI agents edited Wikimedia wikis without approval, unsuccessfully tried to exploit its Etherpad service, and generated millions of automated requests across Wikimedia projects. Here's a summary of what Wikimedia observed (via The Verge): Wiki editing: We've identified edits to Wikimedia wikis that we believe are from AI agents operated by OpenAI. These edits were not published to pages with visibility to general readers; almost all of them were testing edits in "sandbox" areas of the wiki. It also included a few edits to the configuration for a citation tool, which we believe were potentially malicious edits that were intended to misuse this tool as a proxy for fetching data from remote services. While Wikipedia policies allow bots to edit when they are disclosed and approved by the community, none of those approvals were sought in these incidents. Etherpad probing and use: Agents we believe to be operated by OpenAI made some unsuccessful attempts to compromise our public Etherpad, a note-taking tool we host as a community service. Agents unsuccessfully tried to use it to fetch data from other websites as a proxy. Other agents also likely operated by OpenAI took notes about their tasks, though this did not appear to turn into coordination. Excessive data downloading: Agents we believe to be operated by OpenAI made millions of automated requests to our public APIs to access the knowledge on Wikimedia projects, crawled millions of pages (mainly from our projects Wikidata and Wikimedia Commons), and made hundreds of thousands of data queries to the Wikidata Query Service (WQDS). This traffic may have contributed to a partial outage on WQDS in May.

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An anonymous reader quotes a report from 404 Media: In the immediate weeks before Muse's launch, Meta engineers found several security vulnerabilities in the company's viral AI agent product, at least one of which could have allowed malicious users to break outside of Muse's intended environment and access Meta's own sensitive databases and services, 404 Media has learned. The issues were so severe that they reached Mark Zuckerberg and staff worked overtime to fix them. These specific vulnerabilities were discovered before the launch of the product but required a multi-team "mad dash" to fix "a sudden spike in reported KVM escapes," according to an internal post by Meta executives to its core infrastructure team seen by 404 Media. In order for Muse to work, a user gives the AI agent access to various important services and accounts that they own. On Meta's end, each individual Muse instance runs on a kernel-based virtual machine, which connects to, but is supposed to be isolated from, Meta's own critical infrastructure. A "KVM escape," then, is when, through a security vulnerability, a Muse instance is able to escape from that virtual machine and interact with the system that runs it, or with other users' virtual machines. According to a Meta source, as well as internal security documentation and internal posts viewed by 404 Media, at least one of the vulnerabilities could have allowed an outside attacker -- that is, a normal Muse user -- to access data in sensitive internal Meta databases. At least one of the vulnerabilities was related to an exploit found in Linux kernel-based virtual machine code in July. 4 Several of the vulnerabilities were in the underlying Linux virtualization software that Meta uses for Muse. The security issue was considered serious enough that it was raised to Mark Zuckerberg, and several different security teams worked nights and weekends in the leadup to launch to fix the issues. [...] The Meta source said they felt security teams were asked to push hot fixes to these bugs as quickly as possible and in a way that wouldn't delay Muse's launch, leading to what they described as "half-baked protections being rushed out to enable the launch. Many senior engineers believe it's inevitable we're going to have a massive data breach as a result of Hatch." Muse is called "Hatch" internally and in Meta's codebase.

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Norway is preparing legislation that would temporarily ban camera-equipped smart glasses in a range of public places, including parks, beaches, museums, shopping centers, schools, daycare centers, healthcare facilities, gyms and public events. Private use would still be allowed. The Guardian reports: Torgeir Micaelsen, Norway's minister of digital affairs, said he was worried that new, powerful technology is being introduced where people risk being photographed, filmed or audio-recorded without knowing it." "We do not want a society where people worry about being recorded without their knowledge, photographed or filmed in places and situations where they are accustomed to not being monitored," he said. Norway's Labour party, which heads a minority government, needs the support of other parties to pass the proposed ban. It said it planned to submit a bill "as soon as possible," while tasking an expert group with drawing up permanent regulations on the issue.

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A new open-source command-line tool called RemoveMacAI lets macOS 27 users disable Apple Intelligence and reclaim around 12GB or more of storage. MacRumors reports: In macOS 27, Apple removed the toggle to disable Apple Intelligence wholesale, and simply disabling individual features doesn't remove the models from your Mac's drive. As explained by the developer, RemoveMacAI gets around this by using a configuration profile to switch off Apple's own asset management service and remove the models. It then configures the system so attempts to download the removed models are redirected to a closed local port, preventing them from immediately coming back. And it does all this without disabling System Integrity Protection (SIP) or manually deleting files from protected system locations, unlike some older tools have. The tool can free up roughly 12GB of space depending on which models are present on your Mac. That said, some users are reporting cases of Apple Intelligence models having taken up a lot more space, which they've now reclaimed.

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A Florida woman was arrested on a felony charge after Anthropic's human review team flagged and reported a Claude conversation in which she allegedly threatened to "shoot up" the Lee County Sheriff's Office and later mentioned acquiring a new gun. Tom's Hardware reports: Anthropic monitors chats for key phrases and content that could be deemed threatening, the arrest report says, and depending on severity, they can be elevated for human review. In this case, the team decided to report its findings to law enforcement. The Bonita Springs woman was detained at home without incident, and an LCSO intelligence detective took over the case from there. The arrest report is not yet in the court file, but our own check shows court records listing the Sept. 30 felony charge under Florida Statute 836.10: written or electronic threat of a mass shooting or act of terrorism. No comment from Anthropic on the case is currently on record. Anthropic's public privacy policy, effective Sept. 10, says that disclosure to law enforcement may occur where it has a good-faith belief "that disclosure is reasonably necessary to ... prevent serious harm to any person or to property." Its government requests report for the latter half of 2025 uses a narrower standard for emergency disclosures, the "danger of death or serious physical injury to a person," and lists zero emergency requests from law enforcement in that period, though it doesn't count referrals Anthropic makes on its own.

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OpenAI CEO Sam Altman says society should accept some negative consequences from AI in exchange for the technology's broader benefits and widespread public access. "I think there's a lot of daylight," Altman told Decoded co-author and Politico senior tech reporter Brendan Bordelon. Asked about where he differs between Anthropic and its CEO Dario Amodei, Altman said, "we believe that the world should accept some bad things happening for the benefits of this technology and people having the agency." From the report: Altman agreed with Amodei's call last month to slow the development of the most advanced AI models. His company has followed Anthropic in endorsing new state laws that impose stricter safety requirements than what the maker of ChatGPT had previously supported -- a subtle shift from its prior state strategy. And OpenAI lobbyists recently endorsed a bipartisan House proposal that would require top AI companies to embed outside safety evaluators. Despite the convergence, Altman tried to distinguish his firm's regulatory stance from Anthropic's, referencing a criticism about regulatory capture that tech advisers close to President Donald Trump have applied to Anthropic. "I disagree, but I understand the perspective of people who are like, 'This technology is going to get so powerful, and it's so dangerous, that a single lab in San Francisco should have it and make sure nothing bad happens, and kind of figure out how to dole out the benefits,'" said Altman. He called it "a completely unacceptable trade-off" that runs counter to the "lighter-touch regulatory stance" backed by OpenAI. "I wouldn't take a trade of saying, 'We'll make sure there's no major hacks, there's no misuse of this technology, there's zero scams, there's zero all the other bad things that will happen,'" said Altman. "Because I think people will do tremendously -- orders of magnitude more -- good stuff than bad stuff." The OpenAI CEO later added that he does not accept "the really catastrophic risks," including the potential for "a serious loss of control to AI."

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An anonymous reader quotes a report from Quartz: Huawei and Qualcomm on Monday announced a multi-year, broad patent license agreement covering 5G, artificial intelligence, compute, and networking technologies, along with Qualcomm's purchase of certain Huawei U.S. patents in those same fields. The deal is the first patent licensing agreement between the two companies to cover 5G technologies, according to Reuters. Huawei said the agreement is expected to bring the cumulative value of its patent licensing deals above $6.9 billion upon closing. The agreement includes cross licenses to both companies' patent portfolios and is structured around fair, reasonable, and non-discriminatory, or FRAND, principles, the company said. The transaction will close following receipt of the necessary regulatory approvals. [...] The company noted that its intellectual property licensing unit has been profitable since 2021. Huawei made its first licensing payment to Qualcomm in 2001 and received its first licensing income, from Motorola, in 2011, according to Reuters. American export controls that took effect in 2019 have curtailed Huawei's access to cutting-edge chips and essential software, according to Reuters. The constraints pushed Huawei to increase its research and development spending in recent years.

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An anonymous reader quotes a report from Ars Technica: Rendering Doom in a database is obviously a bad idea," Lukas Vogel writes in a lengthy blog post explaining how exactly he managed to render Doom using an SQL database. OK, that's not entirely accurate. The SQLDoom project uses a small Python client to handle input and output, drive the game's timing, and display each frame to the screen. Behind that, a series of CedarDB tables tracks the game geometry and state, while about 1,300 lines of SQL queries spread across 89 common table expressions implement the game logic and generate 35 bitmap framebuffers per second. In this, SQLDoom is a major improvement over Vogel's previous DoomQL project, which last year set out to build "a multiplayer Doom-like shooter entirely in SQL." Unfortunately, that effort ended up with raycasting-based, grayscale ASCII graphics that were more akin to the simplistic 90-degree-angled maps of Wolfenstein 3D. The newer SQLDoom, on the other hand, generates full-color 640x480 frames that look like they could have come from the original Doom executable. [...] If you want to run a Doomtabase on your own local machine, you can do so simply with the GitHub code, a copy of CedarDB, and a Doom WAD file. Or you can jump into a free online hosted demo match to test it out without all the setup [...].

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An estimated 2.3 million cancer cases worldwide in 2024, about one in eight, were attributable to infections, according to a study published in The Lancet Oncology. "This recent Lancet data is a profound reminder that a significant portion of our global cancer burden is fundamentally preventable," said David Greenberg, MD, of Hackensack Meridian Jersey Shore University Medical Center, in a news release. "We have historically siloed infectious diseases and oncology, but they are deeply intertwined. By shifting our focus toward aggressive infection control, we can literally vaccinate and treat our way out of millions of future cancer diagnoses." From a report: The study found that an estimated 2.3 million new cancer cases were attributable to infections globally in 2024, equivalent to 12% of all cancer cases. Of these, the largest number (760,000 cases, or 4%) were caused by H. pylori, followed by HPV (750,000 cases, or 4%), HBV (360,000 cases, or 2%), EBV (260,000 cases, or 1%) and HCV (160,000 cases). More than three quarters of infection-attributable cancers occurred in low- and middle-income countries. Eastern Asian had the largest burden, with 990,000 cases (42% of the global total). Rates were also higher than the global average in sub-Saharan Africa, Central and Eastern Europe and Southeast Asia.

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Longtime Slashdot reader Geoffrey.landis shares a report from NPR: Google just put a refrigerator-sized satellite into space, part of a research project the company hopes can pave the way for orbiting AI data centers powered by the sun. The prototype satellite has four specialty chips in it called Tensor Processing Units, or TPUs, that Google designed for machine learning and has already deployed in data centers on Earth. The chips will run a version of the company's Gemma AI model for 15 minutes at a time due to heat management constraints, using the open weight model to answer simple queries. In a blog post, Google said the mission will gauge how the TPUs handle "the physical stress of spaceflight and the radiation and thermal extremes of space." The satellite launched October 1 is a prototype that Travis Beals, senior director and lead of Project Suncatcher, called "a very minimal test" to make sure the chips can run in space. A SpaceX rocket carried it into orbit, and Planet will get it up and running. Beal said Google will then fire up and test the TPUs. The goal is for the mission to be operational for a year.

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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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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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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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Apple says it will tighten macOS Full Disk Access controls as increasingly capable AI agents raise the risks of apps gaining broad access to users' files, messages, mail, and browsing history. TechCrunch reports: Days after a journalist claimed that Meta's Muse app on Mac read their private messages -- a claim that Meta disputed -- Apple announced that it's introducing additional controls around a setting called "Full Disk Access" on macOS. The feature was designed to allow backups to function properly, but AI agents have now increased "the risks associated with this level of access," Apple said. [...] In Muse's case, the AI optionally allows users to enable Full Disk Access. This setting, Apple explains, gives an app permission to access files, mail, messages, and even browsing history. "Some developers are using Full Disk Access in ways that could put users at risk, exposing everything on their systems... without users' full knowledge and understanding," Apple said in a new blog post aimed at developers. The company says that, going forward, it will introduce new controls aimed at ensuring that users who "genuinely wish to grant an app this extraordinary level of access" can do so only with "every explicit user action." "Addressing this is critical. As AI agents become increasingly capable and autonomous, the risks associated with this level of access will grow substantially. We are committed to ensuring users clearly understand these risks before granting such access, so they can make informed decisions about their own data and privacy," Apple wrote.

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Paramount and Warner Bros. Discovery will operate under the Skydance name once their roughly $110 billion merger closes, which is expected on October 6. The combined company will bring together Paramount+, HBO Max, CBS, CNN, MTV and other networks, along with major franchises including The Lord of the Rings, Game of Thrones, DC and Yellowstone. Ellison said the Paramount and Warner Bros. brands will remain prominent. "We never wanted a new corporate identity to diminish, alter or overshadow either one. Instead, we wanted a name that would give the combined company an identity of its own while allowing Paramount and Warner Bros. -- and all our extraordinary brands -- to remain in the spotlight."

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AmiMoJo shares a report from heise online: Anyone buying used hardware for a gaming PC needs to be careful: not just whether the components are still in order but also what the previous owner did with them. A case on Reddit shows this. Someone installed a used AMD processor, a Ryzen 7 5800X3D, in their PC. Because the previous owner was caught cheating, the new owner cannot start several online games. The problem was noticed in the first-person shooter "Valorant" from the development studio Riot. Right from the first start, the new owner was kicked out directly, according to their statement. Riot support confirmed that the previous owner had cheated. The processor is therefore on an internal blacklist -- and, with its installation in the PC, now apparently also some other components like the mainboard. Riot support does not remove such entries manually. In addition to "Valorant," all other PC games from Riot are affected: the strategy game "League of Legends," the auto-battler "Teamfight Tactics," the card game "Legends of Runeterra," the fighting game "2XKO," and likely future titles as well. Riot's "Vanguard" anti-cheat system traditionally runs deep in the Windows kernel and starts with the PC, but a June 2026 update allows it to launch with a game if security features such as TPM and Secure Boot are enabled. It's unclear how Riot uniquely identifies processors, though possibilities include hardware fingerprinting based on chip behavior or storing identification hashes in the Trusted Platform Module (TPM), which Vanguard accesses in the newer mode.

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The European Commission has rolled out Element Pro as a self-hosted "sovereign back-up" to Microsoft Teams and the reviews aren't great. Politico reported that several officials questioned its usefulness and usability, with one calling it "absolute shit." Politico reports: "I don't understand the added value here," one official wrote on an internal staff message board, seen by POLITICO. Another described the tool as "absolute shit." A third official said that, judging matters on how well Element Pro works compared to Teams, the U.S. would "instantly win the war" if it ever decided to switch off its technology. All the officials were granted anonymity to speak freely. The Commission hosts the Element system on its own infrastructure rather than relying on Microsoft's cloud. That gives the institution greater control over its communications data and systems. "That is not the case with Teams, where all we have is a guarantee that Microslop will not peek inside," a fourth official wrote, presumably referring to Microsoft, in internal communications viewed by POLITICO. Element is a U.K. company whose software is used by governments and public-sector organizations in Europe. The application works much like Teams, allowing staff to hold "audio and video calls with Commission colleagues, send and receive files, and create dedicated 'rooms' for projects and conversations, much like chats and channels in M365 Teams," according to the Commission memo. "Obviously there are going to be some teething issues," said Element CEO Matthew Hodgson, adding there will always be "cognitive dissonance" when switching to a new app, if only because the "buttons" are in a different place. He noted that the United Nations and NATO also use Element Pro. "Change is always painful, particularly if it's a switch from a much-used program like Teams."

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A federal judge has dismissed antitrust lawsuits from Chegg and Penske Media accusing Google of harming publishers by using their content in AI Overviews and other AI search features without compensating them or providing a meaningful opt-out. Ars Technica reports: The lawsuits were filed in 2025, and Google requested a dismissal earlier this year. Chegg, an education and learning platform, claimed in its lawsuit that Google illegally scraped its educational content. This allowed Gemini models to essentially recreate that content and reduce the site's traffic. Penske, which owns publications like Rolling Stone and Variety, filed a similar case that alleged lost traffic. Specifically, the publisher claimed it was unfair that sites indexed for organic search would also have their content harvested for AI answers, with no way to opt out. These arguments did not sway the judge, who noted that Google's implicit agreement with websites is not legally relevant. "Plaintiffs have pleaded only that they have an 'expectation' that Google will send them search "traffic if they make their content available for free," wrote Mehta. "But an expectation is not an agreement. It is simply how a general search engine works." Since Google never had a formal arrangement with either Chegg or Penske, antitrust law doesn't apply. And Mehta is aware of the legal issues surrounding search. He also heard the DOJ's long-running search antitrust case against Google, eventually finding that Google violated the law. However, the government didn't get the harsh penalties it wanted in that case.

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