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"OpenAI has published a new National Community Compact and Compute Campus Policy Blueprint, apparently in response to the Blue Wave Midterm Elections," writes ancient Slashdot reader Gilmoure. "Instead of moving into communities like a juggernaut, they say they will be dangling friendly carrots going forward." Here's an excerpt from OpenAI's article: Every future compute campus OpenAI owns and operates will have its own local compact. We'll engage residents early enough to ensure their input shapes project plans, give them a local point of contact throughout the life of the campus, and report publicly each year on how we're doing. Each compact will reflect local priorities and include a common set of commitments: - Pay our own way on energy and infrastructure. We'll pay the full cost of the electricity we use and the infrastructure needed to serve us. Before major spending begins, we'll provide financial assurances so other customers are protected if a project is delayed, reduced, or canceled. - Protect local resources and report on our impact. We'll develop a water plan for each campus, prioritize closed-loop or low-water cooling, and publish site-level water and electricity use. We'll publish construction plans and independent noise studies before operations begin and annually afterward. And we will not use non-disclosure agreements (NDAs) with public officials, allowing only narrow protections covering legitimate security information, trade secrets, or proprietary or competitively sensitive information. - Create opportunities for local workers and businesses. We'll publish the jobs we expect to create, work with unions and training providers to help residents prepare for them, and report annually on hiring and apprenticeships. We'll also make sustained investments in priorities residents help select. [...] The investments that help America compete globally can also help communities prosper locally. That starts with giving residents a say while plans can still change and a way to hold developers accountable for delivering on their commitments. That's what we're committing to at the campuses we own and operate, and what we believe people should be able to count on wherever AI infrastructure is built across the country.

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According to Bloomberg, Apple is cutting employee AI spending limits to reduce costs, lowering some engineers from $300 to $200 per day and considering limits as low as $100, with some teams capped at $25. Employees are also being encouraged to use cheaper models or on-device AI. MacRumors reports: Engineers at Apple have the largest budgets because using AI for coding can consume a large number of tokens. Apple lets employees use Claude, ChatGPT, Gemini, and other models. Some Apple employees told Bloomberg that few were using their full $300 daily limit, so the savings may be small. Apple has also hired outside productivity consultants for some divisions. Combined with the AI cost cuts, the reviews have fueled worries about possible restructuring.

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Axon has been sued in a proposed class action accusing the Taser and police body-camera maker of illegally collecting and storing license plate data on millions of California drivers through its AI-powered surveillance network. Reuters reports the details: - The lawsuit (PDF), filed on Tuesday in federal court in San Francisco by law firms Hausfeld and Gibbs Mura, alleges Axon has failed to comply with a California privacy provision by not disclosing how it collects, uses and shares plate data gathered through its camera systems - "Axon has created a mass-surveillance infrastructure that is practically impossible to avoid," the lawsuit said - Scottsdale, Arizona-based Axon did not immediately respond to a request for comment. The lawsuit said the company has more than 1,000 cameras in California and alleges millions of drivers may have been affected - Some Axon cameras are installed in high-traffic areas and collect plate information as vehicles pass by. Other cameras are placed inside police vehicles, the lawsuit said - The proposed class covers drivers whose vehicle plate information was captured by an automated license plate reader in California and processed or stored by Axon's system since 2023 - The lawsuit seeks more than $5 million in damages, in addition to a court order stopping Axon from its allegedly unlawful practices

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An anonymous reader quotes a report from VentureBeat: Researchers from the Massachusetts Institute of Technology (MIT) Computer Science & Artificial Intelligence Laboratory (CSAIL) reported today that they used OpenAI's GPT-6 Astra language model to raise a small, open source Qwen model's math score roughly sixfold by directly editing its weights -- the numerical parameters that govern its behavior. Rikiya Takehi, Jayden Teoh, Alex Zhang and Omar Khattab described their work in a research blog post published November 2. They call the approach "weight-space programming" and tested Astra's ability to interpret and alter networks without using conventional training procedures to generate the edits. In the strongest language-model example, Astra's intervention raised Qwen3.5-0.8B's MATH-500 score from 7.9% to 48.1% while touching approximately 0.016% of its weights. The improvement came primarily from correcting repetitive reasoning—a distinction that shaped both the technical findings and the debate over their implications. Their experiments explored a broader possibility: AI systems that inspect, repair and construct other neural networks by working directly on their internal machinery. "This is cool as heck!" wrote Yuchen Jin, a technical staffer at Databricks and former co-founder and CTO of Hyperbolic Labs who was unaffiliated with the research, on X. "Imagine using a large LLM to directly edit a smaller model's weights and dramatically improve its capabilities. It's like gene editing for neural networks. Even cooler than distillation!" Voyage AI staff researcher Chandan Singh, formerly of Microsoft AI, also reacted to the findings: "For anyone questioning whether this post is overhyped, I think they are actually *underselling* the approach."

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According to The Information, Apple is developing a $1,000 HomeView Ultra smart home hub with a 9-inch touchscreen mounted on a motorized arm that can follow users around a room and autonomously respond to its surroundings. It's also said to be experimenting with more ambitious home robots, including a wheeled robot that follows people, a smart home drone and a machine capable of folding laundry. Notebookcheck reports: According to the report, HomeView Ultra will feature a larger 9-inch touchscreen mounted on a robotic arm. This arm can automatically turn the screen toward the user. With a camera and several sensors, this smart home hub is said to be "fully aware" of its surroundings and capable of acting autonomously. This autonomy ranges from turning on the lights when someone enters the room to shooing a cat away when it jumps onto a table. These sensors are also intended to prevent the arm from hitting nearby objects with the display. Apple is reportedly currently planning to announce this smart home hub in 2027 for around $1,000, but according to The Information, its launch could be delayed until 2028. The reason is allegedly the software, which has not yet been finalized, while the hardware is said to be ready for market already.

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An anonymous reader quotes a report from TechCrunch: Data centers are deeply unpopular. But what if we called them something else? Axios reports that OpenAI is preparing a "PR blitz" for after the midterm elections on Tuesday, as Democrats seem likely to win back the House of Representatives, and possibly the Senate, too. The company's chief global affairs officer Chris Lehane told Axios that the midterms will be "a bit of a movie trailer for what you're going to see in 2028," when he expects AI to be "the issue" in the presidential election. So OpenAI is to influence the AI debate moving forward, with Lehane discussing several proposals, including the development of AI "speed limits"; finding ways to help people see AI as empowering them in their daily lives; pushing the U.S. to take a role in developing global standards; and yes -- rebranding data centers as "AI compute campuses." Lehane also described the conversation around data centers (a debate that has pushed Amazon and Microsoft to say they will no longer use NDAs in their negotiations with local governments) as "good and healthy." "Communities should hold companies responsible and accountable so they really and truly get a transformative benefit from these projects," he said.

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The New York Times and several other publishers have sued (PDF) Brave Software, accusing the browser maker of scraping their websites without permission and helping users bypass paywalls. The Verge reports: According to a complaint (PDF) filed by the companies that run New York Daily News, the Chicago Tribune, and the Orlando Sentinel, Brave Software has monetized its index of scraped websites by, in part, providing AI companies with paid access to "real-time online content from the Brave Index." The AI companies then use that index to train their models, access content to "respond to specific user queries," or both. Brave has allegedly provided "stolen copyrighted content" to "many" AI companies including Anthropic, Perplexity, Mistral, xAI, and Cohere. Brave also promotes "hundreds of top publishers" as being accessible through its "Paywall blocker" feature in its browser. "Brave has never asked for the Publishers' permission to access their websites, much less to copy the material and provide it to users or other AI companies," the complaint says. "On the contrary, as noted above, Brave allows its users to bypass the Publishers' paywalls without their consent, and has taken other steps that prevent the Publishers from blocking Brave's access to the Publishers' websites. Brave has never compensated the Publishers for the unlawful use, copying, and distribution of the Publishers' copyrighted content." "While we believe in the ethical and responsible use and development of AI, Brave has flouted established copyright law and ignored repeated requests by The Times to stop its infringing conduct," Graham James, an NYT spokesperson, says in a statement. "We filed this lawsuit to hold Brave accountable for stealing our content to power its own products and to provide it to some of the most prominent and well resourced generative AI companies in the world."

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The number of game pages being created per-day on Itch has doubled, the indie games site announced Saturday on Bluesky. When asked why, they responded: "take a guess." As the gaming news site Aftermath puts it, "the surge has been almost entirely down to AI-created garbage racing onto the platform as the popularity of vibe-coded theft, copycats and machine-built slop explodes." Back in 2024, when the spectre of AI-'created' video games was still in its infancy, indie platform itch.io decided that the best it could do to combat this growing threat was, like Valve has done with Steam, institute a voluntary 'AI' filter when adding new projects to the site. By November 2026, as itch buckles under the weight of new AI-generated 'games' pouring onto the site, that filter is proving about as robust as a wet paper bag.... Shopfronts are being deluged by this shit, and it's making it a terrible user experience for customers. And while in Valve's case there's a compelling case for stronger human moderation of the store, I'm not sure that's a viable option for a relatively tiny, community-run platform like itch... [A]t time of writing I visited the latest releases section and there was still a huge number of clearly AI-generated titles (or titles making extensive use of AI in their visual assets) which made no use of itch's voluntary tag system. The issue here isn't that these games are making money--itch themselves say in a reply that while the number of projects listed has doubled, "the number of downloads and purchases has not"--it's that an inability to combat this surge makes the site worse for every single person using it. It gets harder to find real games, for example, and it also makes the shopfront look like a clearance rack.

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"David Durman, a nontheistic humanist, recently secured a religious exemption from using AI in the workplace," reports TechCrunch. Durman, a University of Kentucky administrator, told TechCrunch that humanism centers on "human well-being and flourishing, both individually and collectively ... and implores a person to try to improve both their well-being and their flourishing as well as the others around them." He believes that using the technology runs counter to his beliefs. "The way we become moral actors for ourselves and for others is through the active application of our minds, and the diminishing of that [through AI use] is going to necessarily have a negative impact on our ability to do so," he said, reflecting on how overreliance on AI might affect critical thinking...." [Humanism] tends to appeal to people who are skeptical of a god or other supernatural power yet still seek a scientific and moral framework to ground themselves in. [Alexandria Huiskens, staff attorney at the American Humanist Association, told TechCrunch] "Concern about AI and human dignity can run through several different faiths and traditions, whether that's Catholic teachings, or Universalism, or Humanism, and we want Humanists or nontheists to know that they fall into these categories — that they are also protected by the law at work...." In Durman's administrative role, in which he supports researchers applying for grants, he has not been required to use AI at work. Like many workers across fields, some of his colleagues and leadership have recommended that employees try out these tools, so he sought to secure his exemption now, in case the suggestion becomes a mandate in the future. "I hope that if [others] have similar feelings, that they feel encouraged to pursue some kind of resolution," Durman said. A University of Kentucky spokesperson told TechCrunch they "determined that an accommodation could be provided while allowing the employee to continue performing the essential functions of their position." (They added that "As technology and job responsibilities evolve, accommodations may be reviewed to ensure they remain reasonable and workable.")

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CNBC reports: A month after President Donald Trump ordered that "super intelligence" replace the term artificial intelligence within executive branch departments and agencies, his leading tech allies, Elon Musk and Mark Zuckerberg, followed suit on earnings calls. Their fellow tech CEOs were less eager to do the same... SpaceX and Tesla adhered to Trump's wishes on earnings calls last week after Musk, earlier in October, changed the name of his rocket company's AI division to SpaceXSI. Speaking on Tesla's call about his work on humanoid robots, Musk said, "Some of them look very impressive, but they're not really using any kind of advanced AI or SI." Zuckerberg was equally compliant on Meta's earnings call on Oct. 21, emphasizing his company's "goal of delivering personal superintelligence to everyone." However, Meta was already using the term, having created a unit called Meta Superintelligence Labs last year.... [Some other tech CEOs are holding out.] Amazon CEO Andy Jassy peppered his call with use of "AI" on Thursday, uttering the abbreviation well over a dozen times in his introductory remarks. A day earlier, Microsoft CEO Satya Nadella said one of the company's three points of focus is "designing AI to empower people." And Alphabet CEO Sundar Pichai was seconds into his quarterly earnings commentary when he said the search giant's "AI investments are driving increased usage and overall user growth...." Trump's preferred term is seeping into other correspondence and documents. Microsoft's annual report, filed last week, included eight mentions of "super intelligence," starting at the top of the letter to shareholders... IBM CEO Arvind Krishna, who didn't attend Trump's September lunch, used "SI" alongside "AI" during his company's earnings call last week.... Lip-Bu Tan, CEO of chipmaker Intel, said Thursday the supply shortage the chip industry is navigating has been "driven by the unprecedented demand for super intelligence." Some in the tech industry have been explicit in their support of Trump's terminology ahead of their forthcoming earnings reports next month. Palo Alto Networks CEO Nikesh Arora repeatedly referred to "SI" on CNBC, and posted on X on Sept. 30, "The meeting at the WH on SI was an epic moment...." Like Arora, [Nvidia CEO Jensen] Huang took to X after last month's AI meeting to praise the "White House Accord on Super Intelligence."

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Should generative AI be used for videogame development? Brandon Stirrup, a strategy manager at Xbox, claims Xbox is already using AI, reports Engadget. And he also says that those who say they aren't are merely "pretending." Stirrup deactivated his social media account shortly after (though his posts have been archived elsewhere), igniting conversations about what role generative AI actually has or should have in game development. In some ways, it would be unsurprising to learn that Xbox is using AI to the extent that Stirrup implies. Xbox recently announced the formation of Xbox Labs at least in part as a response to a rising trend of AI-coded game ports; the announcement heavily implied that the new team would use AI as well but didn't say it outright. Xbox owner Microsoft is also a major player in AI development... Developers including Capcom, Square Enix, Sega, Nexon and Activision have all either used AI in their games or pledged to do so. Fortnite developer Epic Games has been particularly up-front about its AI use, and CEO Tim Sweeney has aggressively promoted it on social media... On the other hand, there are large pockets of the game industry vocally opposed to generative AI. Notably, these tend to be smaller, independent studios without shareholders to impress by touting the cost-savings of AI. These studios include Tunic publisher Finji, Stardew Valley developer ConcernedApe and Clickolding developer Strange Scaffold, among many more. Due to the sheer number and variety of game studios, it's impossible to say just how much of the industry actually uses AI at this point, but claims that "everyone" is using it are clearly false. There's a similar divide among players about whether generative AI should be embraced or avoided at all costs. While some simply accept AI as part of games going forward, others have pledged to avoid games that use the technology outright due to its environmental costs, labor issues or pure aesthetic preference. That's led to the popularity of tools like a browser extension that makes Steam's AI disclosures more visible and grassroots efforts by developers to implement labels certifying their games as AI-free... Many players and developers alike justify the use of AI in generating code, even if they're opposed to it in other areas. "Gaming is the only industry slow-walking the transition," Xbox's Stirrup allegedly said, "because users have negative sentiment. Everyone else accepts reality." "Gaming is the only industry pretending to not use AI."

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Boom Supersonic's plans to launch its Overture passenger jet by 2029 are facing growing doubts as the company pivots toward manufacturing natural gas turbines for AI data centers. Ars Technica reports: One of the company's first customers, United Airlines CEO Scott Kirby, has expressed doubts about Boom's original plan to deliver the first Overture supersonic airliner in 2029. Kirby's latest frank assessment came during an interview with the Office Hours: Business Edition podcast that appeared on October 28, 2026. "'29 is their official timeline," Kirby told podcast host Monica Langley. "It's not going to happen in '29 -- it's going to take longer." [...] Much of Boom's recent focus has been on developing natural gas turbines to power AI data centers as an additional revenue stream. On October 22, the company unveiled another factory in Centennial, Colorado, dedicated to producing a 42-megawatt natural gas turbine called Superpower for data centers. [...] Boom described its new Superpower factory as making turbine parts while still undergoing construction. It aims to deliver the first gas turbines to AI data center customers in mid-2027 while ramping up annual production to 25 turbines in 2028 and 50 turbines by 2029. [...] Still, Boom has characterized the development of a gas turbine for data centers as being synergistic with its design of the Symphony engine for the Overture airliner. During the October announcement, it also described having completed a prototype turbine core, called Sprint Core, that is intended to eventually power both the Superpower gas turbine and Symphony engine for the airliner. That turbine core is set to undergo testing at the Colorado Air & Space Port, with Boom planning to fire the turbine for the first time before Thanksgiving. That would be a concrete development milestone, but the company still has much to do in proving it can get both its AI data center and supersonic airliner ventures off the ground.

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In an opinion piece for 404 Media, Matthew Gault argues that Apple has entered its "slop era," abandoning its reputation for innovative hardware in favor of recycled ideas and questionable design choices. Here's an excerpt: My ears perked up when I heard Apple's new foldable phones were cracking. I licked my lips when the company announced it's releasing a touch-screen laptop. This was a company that once charged $19 for a polishing cloth, asked $200 for a VESA mount, and sold $700 wheels for the Mac Pro. Now it's borrowing tired ideas from its competitors and launching hardware its previous leaders rejected. The once dominant company is struggling to find its feet in an AI-driven post-Tim Cook world. John Ternus is the new CEO -- a 25 year veteran of the company with a track record of pushing harebrained hardware schemes like the much reviled Touch Bar and lawsuit inducing butterfly keyboard. With Ternus at the helm, I feel there's a good chance Apple's best days are behind it, that it will have to make do with less, that it's declasse. Apple, blindsided by AI and relying on crowdpleasing hardware gimmicks, is downwardly mobile. It's in its slop era. The company that once asked consumers to "Think Different" is now releasing hardware that's just like everything else on the market.

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"Looks like OpenAI CEO Sam Altman wants to own all the computing resources and rent out terminals to the world as a way of propping up his business plan, now that debt-ridden AI companies are teetering on the edge," writes ancient Slashdot reader Gilmoure. Tom's Hardware reports: In an interview over beers with the YouTube channel Cheeky Pint, Altman said that local inference, and, by extension, people having DRAM in computers at home, is "quite terrible." When discussing local inference on home computers with open-source models, Altman discussed the assumption that people will be able to run local AI on their own computers, the ones they may already own or want to build. Then he explained why that's a bad idea (at the 29-minute mark): "From a global allocation perspective, actually, it's quite terrible to have everybody have a bunch of the world's limited supply of DRAM sitting in their own computer and being used 5% of the time," Altman said. "You want maximum utilization in the cloud if you're trying to deal with this very supply-constrained environment. And somehow many people's intuition is the opposite of that." While OpenAI does have some open-source models, its primary business is in closed-source models that run in data centers, so he's really defending the company's business model. OpenAI isn't exactly threatened by some laptops and gaming rigs just yet, but local AI could mean people one day paying less for subscriptions to models like GPT-6 Luna if they have the power to run them at home. Altman's talk suggests that the company would prefer that more RAM go to OpenAI's data centers rather than home computers, which also sparks enthusiast fears of not being able to own your own hardware or software, but rather rent an agent and a computer in the cloud.

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The Justice Department has charged five people in a crackdown on "ghost student" fraud, in which scammers allegedly use stolen identities and AI to enroll fake students in colleges, complete coursework, and collect federal student loan funds. Ars Technica reports: In a press release Thursday, the Department of Justice said it had uncovered a large-scale scheme relying partly on AI. The DOJ seized more than $750,000 in cryptocurrency from "a network associated with Kenyan nationals" after data analysis helped flag likely fraudsters. Assistant Attorney General Colin M. McDonald of the DOJ's National Fraud Enforcement Division credited new fraud-detection measures implemented by the Trump administration for the arrests. He said that "this is the first international seizure of its kind in Kenya," while warning fraudsters that the crackdown has only just begun. [...] At a press conference, McDonald was joined by FBI and Department of Education officials to explain how the scheme works. It starts with bad actors purchasing personally identifiable information (PII) of Americans -- most frequently targeting high school graduates who never attended college and went straight into the workforce. Once they have that sensitive data, they fill out the Free Application for Federal Student Aid (FAFSA) while seeking to enroll in universities and community colleges. If accepted, student aid is distributed first to schools to cover tuition and fees, but any leftover money is deposited into bank accounts controlled by the fraudsters. Dozens of Americans have opened bank accounts to act as money mules for fraudsters, the DOJ said. To keep money flowing, bad actors use AI to fill out applications, complete coursework, and even make it appear that a student is attending virtual sessions. "It looks like the ghost student is actually completing the class," McDonald said at the press conference. "Some even create the appearance of a fake student in an online classroom to trick schools into believing a real person is present. The goal is to keep the ghost student in school for as long as possible, semester after semester after semester." So far, the DOE has "identified over 830,000 potentially fraudulent federal student aid accounts created by using this PII of US citizens," officials said at the press conference. If all those accounts are ghost students, total losses come close to $130 million, the DOJ said.

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According to 404 Media, Proton CEO Andy Yen is aggressively pushing AI adoption while fostering what workers describe as a culture of fear that discourages raising security concerns or challenging leadership. The investigation is based on interviews with eight current and one former Proton employees, as well as internal Slack chats, meeting recordings, and an AI manifesto written by the company's CTO. Longtime Slashdot reader devnulljapan summarizes the findings: Engineers at Proton, which makes the encrypted email service Proton Mail and a suite of privacy- and security-focused products, including an encrypted drive service, an authenticator app, and a password manager, are being pushed to "stop lovingly handcrafting all our code and use AI more." Workers describe an environment where employees have genuine concerns about security or being asked to develop security products with AI but feel unable to voice them, lest Yen berates them in front of everyone or threatens their employment at the company. "The CEO is in full AI psychosis and has been for a while now," one of the sources told 404 Media. Yen reportedly dismissed an employee's request for additional security testing before releasing new code, calling it "bullshit and loser thinking" and insisting that "only losers think like that." In a separate exchange over Proton's post-quantum encryption rollout, Yen criticized how the company communicated the feature's limitations and told employees that "perception is more important than truth, the truth doesn't matter if you don't win on perception." "The train is coming, get onboard or get crushed. Don't be the professional fax machine operator in the internet age," Yen wrote to the security Slack channel. "I think by the end of this year most developers stop programming and start writing specs for tests that AI will code and run, to validate AI written code that humans will no longer be able to review. This will be the last year that we hire engineers, and starting next year we hire what we used to call product managers, to build things with AI."

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An anonymous reader quotes a report from The New York Times: American spy agencies had gathered striking intelligence. A top executive at a Singapore-based data center company was under scrutiny for possibly steering advanced Nvidia A.I. chips to China. And now American officials had concluded that she was a Chinese intelligence asset (source paywalled; alternative source), funneling information to Beijing. But what came next was even more alarming. Surveillance of the executive, Alice Huang or Huang Le, a Chinese citizen, revealed that she had developed a close relationship with Jensen Huang, Nvidia's chief executive. For years, Washington has worked to deny China the technology needed to match or surpass the United States in the intense global competition for superiority in artificial intelligence. The discovery that Beijing was getting reports from someone with direct access to Mr. Huang, one of the most powerful figures in the A.I. revolution as well as an influential ally of President Trump's, set off alarms at the White House. Roughly a year ago, Mr. Trump was briefed about the intelligence findings, which have not been previously reported, and chose not to do anything with the information. Mr. Trump has been wary of disrupting Nvidia's chip sales, which are helping to drive the economy and the stock market, and of further complicating the trading relationship with China. This account is based on interviews with people briefed on the surveillance, who spoke on the condition of anonymity because the findings are drawn from classified intelligence, as well as other officials and industry executives and analysts. American officials already suspected that Ms. Huang was helping China evade constraints on its ability to gain access to advanced A.I. chips. But the revelation that she was feeding information directly to Beijing raised more troubling possibilities, including that Mr. Huang had insights into Mr. Trump's thinking on an issue of vital importance to both nations, one likely to come up when the president visits China next month. And it left questions about whether she could be gleaning information about Nvidia, which as much as any company accounts for the lead the United States has maintained in developing cutting-edge A.I. models. The surveillance of Ms. Huang continues, they said, and companies that have been affiliated with her continued this year to purchase Nvidia chips. Nvidia said in a statement: "Jensen's interactions with Ms. Huang are not unusual or unexpected. Meetings with customers are part of a CEO's job; Jensen talks with thousands of customer executives every year." Nvidia is "confident that if the U.S. government believes that any person is a threat to American industry, it would let us know." Customers like Megaspeed, the company that employed Ms. Huang, "receive ordinary business information -- not sensitive Nvidia trade secrets -- and zero information relevant to national security," the company added. In a statement to The New York Times, Megaspeed said that its "current leadership" takes the matter "extremely seriously and is committed to getting to the facts behind these allegations." It added that "outside counsel has been retained to conduct a thorough internal investigation and has notified the U.S. government that we are fully committed to cooperating."

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