"As awareness grows around the dangers of head trauma in sports, a small number of professional fighters and football players are turning to a psychedelic called ibogaine for treatment," reports the Los Angeles Times. They note that the drug's proponents "tout its ability to treat addiction, post-traumatic stress disorder and traumatic brain injury, or TBI. " Ibogaine, which is derived from a West African shrub, is a Schedule 1 drug in America with no legal medical uses, and experts urge caution because of the need for further studies. But the results, several athletes say, are "game-changing".... Although athletes are just discovering ibogaine, the drug is well known within the veteran community, which experiences high rates of brain injury and PTSD. In Stanford's study on the effects of ibogaine on special forces veterans, participants saw average reductions of 88% in PTSD symptoms, 87% in depression symptoms and 81% in anxiety symptoms. They also exhibited improvements in concentration, information processing and memory. "No other drug has ever been able to alleviate the functional and neuropsychiatric symptoms of traumatic brain injury," Dr. Nolan Williams, a professor of psychiatry and behavioral sciences, said in a statement on the results. "The results are dramatic, and we intend to study this compound further...." States can work faster than the federal government by carving out exemptions for supervised ibogaine therapy programs, similar to what Oregon has done with psilocybin therapy. Many states have also opted to legalize marijuana for medicinal or recreational use... In June, Texas approved a historic $50-million investment in state funding to support drug development trials for ibogaine, inspired by the results seen by veterans. Arizona legislators approved $5 million in state funding for a clinical study on ibogaine in March, and California legislators are pushing to fast-track the study of ibogaine and other psychedelics.

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The editors of the culture magazine n + 1 decry the "well-funded upheaval" caused by a large and powerful coalition of pro-AI forces. ("According to the logic of market share as social transformation, if you move fast and break enough things, nothing can contain you...") "An extraordinary amount of money is spent by the AI industry to ensure that acquiescence is the only plausible response. But marketing is not destiny." The AI bubbleâS — âSand it is a bubble, as even OpenAI overlord Sam Altman has admittedâS — âSwill burst. The technology's dizzying pace of improvement, already slowing with the release of GPT-5, will stall... [P]rofessional readers and writers: We retain some power over the terms and norms of our own intellectual life. We ought to stop acting like impotence in some realms means impotence everywhere. Major terrains remain AI-proofable. For publishers, editors, critics, professors, teachers, anyone with any say over what people read, the first step will be to develop an ear. Learn to tellâS — âSto read closely enough to tellâS — âSthe work of people from the work of bots... Whatever nuance is needed for its interception, resisting AI's further creep into intellectual labor will also require blunt-force militancy. The steps are simple. Don't publish AI bullshit. Don't even publish mealymouthed essays about the temptation to produce AI bullshit. Resist the call to establish worthless partnerships like the Washington Post's Ember, an "AI writing coach" designed to churn out Bezos-friendly op-eds. Instead, do what better magazines, newspapers, and journals have managed for centuries. Promote and produce original work of value, work that's cliché-resistant and unreplicable, work that triesâS — âSas Thomas Pynchon wrote in an oracular 1984 essay titled "Is It OK to Be a Luddite?"âS — âS"through literary means which are nocturnal and deal in disguise, to deny the machine...." Punishing already overdisciplined and oversurveilled students for their AI use will help no one, but it's a long way from accepting that reality to Ohio State's new plan to mandate something called "AI fluency" for all graduates by 2029 (including workshops sponsored, naturally, by Google). Pedagogically, alternatives to acquiescence remain available. Some are old, like blue-book exams, in-class writing, or one-on-one tutoring. Some are new, like developing curricula to teach the limits and flaws of generative AI while nurturing human intelligence... Our final defenses are more diffuse, working at a level of norms and attitudes. Stigmatization is a powerful force, and disgust and shame are among our greatest tools. Put plainly, you should feel bad for using AI. (The broad embrace of the term slop is a heartening sign of a nascent constituency for machine denial.) These systems haven't worked well for very long, and consensus about their use remains far from settled. That's why so much writing about AI writing sounds the way it doesâS — âSnervous, uneven, ambivalent about the new regime's utilityâS — âSand it means there's still time to disenchant AI, provincialize it, make it uncompelling and uncool... As we train our sights on what we oppose, let's recall the costs of surrender. When we use generative AI, we consent to the appropriation of our intellectual property by data scrapers. We stuff the pockets of oligarchs with even more money. We abet the acceleration of a social media gyre that everyone admits is making life worse. We accept the further degradation of an already degraded educational system. We agree that we would rather deplete our natural resources than make our own art or think our own thoughts... A literature which is made by machines, which are owned by corporations, which are run by sociopaths, can only be a "stereotype"âS — âSa simplification, a facsimile, an insult, a fakeâS — âSof real literature. It should be smashed, and can. The 3,800-word article also argues that "perhaps AI's ascent in knowledge-industry workplaces will give rise to new demands and new reasons to organize..."

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tThe internet is full of people claiming to uncover conspiracies in politics and business..." reports the Wall Street Journal. "Now an unlikely new villain has been added to the list: theoretical physicists," they write, saygin resentment of scientific authority figures "is the major attraction of what might be called 'conspiracy physics'." In recent years, a group of YouTubers and podcasters have attracted millions of viewers by proclaiming that physics is in crisis. The field, they argue, has discovered little of importance in the last 50 years, because it is dominated by groupthink and silences anyone who dares to dissent from mainstream ideas, like string theory... Most fringe theories are too arcane for listeners to understand, but anyone can grasp the idea that academic physics is just one more corrupt and self-serving establishment... In this corner of the internet, the scientist Scott Aaronson has written, "Anyone perceived as the 'mainstream establishment' faces a near-insurmountable burden of proof, while anyone perceived as 'renegade' wins by default if they identify any hole whatsoever in mainstream understanding... As with other kinds of authorities, there are reasonable criticisms to be made of academic physics. By some metrics, scientific productivity has slowed since the 1970s. String theory has not fulfilled physicists' early dreams that it would become the ultimate explanation of all forces and matter in our universe. The Large Hadron Collider, the world's largest particle accelerator, has delivered fewer breakthroughs than scientists expected when it turned on in 2010. But even reasonable points become hard to recognize when expressed in the ways YouTube incentivizes. Conspiracy physics videos with titles like "They Just Keep Lying" are full of sour sarcasm, outraged facial expressions and spooky music... Leonard Susskind, director of the Stanford Institute for Theoretical Physics, says physicists need to be both more sober and more forceful when addressing the public. The limits of string theory should be acknowledged, he says, but the idea that progress has slowed isn't right. In the last few decades, he and other physicists have figured out how to make progress on the vast project of integrating general relativity and quantum mechanics, the century-old pillars of physics, into a single explanation of the universe. The bitter attacks on leading physicists get a succinct summary in the article from Chris Williamson, a "Love Island" contestant turned podcast host. "This is like 'The Kardashians' for physicists — I love it."

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"Swiss voters have backed plans for electronic identity cards by a wafer-thin margin," reports the Guardian, "in the second nationwide vote on the issue." In a referendum on Sunday, 50.4% of voters supported an electronic ID card, while 49.6% were against, confounding pollsters who had forecast stronger support for the "yes" vote. Turnout was 49.55%, higher than expected... [V]oters rejected an earlier version of the e-ID in 2021, largely over objections to the role of private companies in the system. In response to these concerns, the Swiss state will now provide the e-ID, which will be optional and free of charge... To ensure security the e-ID is linked to a single smartphone, users will have to get a new e-ID if they change their device... An ID card containing biometric data — fingerprints — will be available from the end of next year. Critics of the e-ID scheme raised data protection concerns and said it opened the door to mass surveillance. They also fear the voluntary scheme will become mandatory and disadvantage people without smartphones. The referendum was called after a coalition of rightwing and data-privacy parties collected more than 50,000 signatures against e-ID cards, triggering the vote. "To further ease privacy concerns, a particular authority seeking information on a person — such as proof of age or nationality, for example — will only be able to check for those specific details," notes the BBC: Supporters of the Swiss system say it will make life much easier for everyone, allowing a range of bureaucratic procedures — from getting a telephone contract to proving you are old enough to buy a bottle of wine — to happen quickly online. Opponents of digital ID cards, who gathered enough signatures to force another referendum on the issue, argue that the measure could still undermine individual privacy. They also fear that, despite the new restrictions on how data is collected and stored, it could still be used to track people and for marketing purposes. The BBC adds that the UK government also announced plans earlier this week to introduce its own digital ID, "which would be mandatory for employment. The proposed British digital ID would have fewer intended uses than the Swiss version, but has still raised concerns about privacy and data security." The Guardian reports: The referendum came soon after the UK government announced plans for a digital ID card, which would sit in the digital wallets of smartphones, using state-of-the-art encryption. More than 1.6 million people have signed a petition opposing e-ID cards, which would be mandatory for people working in the UK by 2029. Thanks to long-time Slashdot reader schwit1 for sharing the news.

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Tim Berners-Lee writes in a new article in the Guardian that "Somewhere between my original vision for web 1.0 and the rise of social media as part of web 2.0, we took the wrong path Today, I look at my invention and I am forced to ask: is the web still free today? No, not all of it. We see a handful of large platforms harvesting users' private data to share with commercial brokers or even repressive governments. We see ubiquitous algorithms that are addictive by design and damaging to our teenagers' mental health. Trading personal data for use certainly does not fit with my vision for a free web. On many platforms, we are no longer the customers, but instead have become the product. Our data, even if anonymised, is sold on to actors we never intended it to reach, who can then target us with content and advertising... We have the technical capability to give that power back to the individual. Solid is an open-source interoperable standard that I and my team developed at MIT more than a decade ago. Apps running on Solid don't implicitly own your data — they have to request it from you and you choose whether to agree, or not. Rather than being in countless separate places on the internet in the hands of whomever it had been resold to, your data is in one place, controlled by you. Sharing your information in a smart way can also liberate it. Why is your smartwatch writing your biological data to one silo in one format? Why is your credit card writing your financial data to a second silo in a different format? Why are your YouTube comments, Reddit posts, Facebook updates and tweets all stored in different places? Why is the default expectation that you aren't supposed to be able to look at any of this stuff? You generate all this data — your actions, your choices, your body, your preferences, your decisions. You should own it. You should be empowered by it... We're now at a new crossroads, one where we must decide if AI will be used for the betterment or to the detriment of society. How can we learn from the mistakes of the past? First of all, we must ensure policymakers do not end up playing the same decade-long game of catchup they have done over social media. The time to decide the governance model for AI was yesterday, so we must act with urgency. In 2017, I wrote a thought experiment about an AI that works for you. I called it Charlie. Charlie works for you like your doctor or your lawyer, bound by law, regulation and codes of conduct. Why can't the same frameworks be adopted for AI? We have learned from social media that power rests with the monopolies who control and harvest personal data. We can't let the same thing happen with AI. Berners-Lee also says "we need a Cern-like not-for-profit body driving forward international AI research," arguing that if we muster the political willpower, "we have the chance to restore the web as a tool for collaboration, creativity and compassion across cultural borders. "We can re-empower individuals, and take the web back. It's not too late." Berners-Lee has also written a new book titled This is For Everyone.

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"Facebook and Instagram owner Meta is launching paid subscriptions for users who do not want to see adverts in the UK," reports the BBC: The company said it would start notifying users in the coming weeks to let them choose whether to subscribe to its platforms if they wish to use them without seeing ads. EU users of its platforms can already pay a fee starting from €5.99 (£5) a month to see no ads — but subscriptions will start from £2.99 a month for UK users. "It will give people in the UK a clear choice about whether their data is used for personalised advertising, while preserving the free access and value that the ads-supported internet creates for people, businesses and platforms," Meta said. But UK users will not have an option to not pay and see "less personalised" adverts — a feature Meta added for EU users after regulators raised concerns... Meta said its own model would see its subscription for no ads cost £2.99 a month on the web or £3.99 a month on iOS and Android apps — with the higher fee to offset cuts taken from transactions by Apple and Google... [Meta] reiterated its critical stance on the EU on Friday, saying its regulations were creating a worse experience for users and businesses unlike the UK's "more pro-growth and pro-innovation regulatory environment". "Meta said its own model would see its subscription for no ads cost £2.99 a month on the web or £3.99 a month on iOS and Android apps," according to the BBC, "with the higher fee to offset cuts taken from transactions by Apple and Google." Even users not paying for an ad-free experience have "tools and settings that empower people to control their ads experience," according to Meta's announcement. The include Ad Preferences which influences data used to inform ads including Activity Information from Ad Partners. "We also have tools in our products that explain 'Why am I seeing this ad?' and how people can manage their ad experience. We do not sell personal data to advertisers."

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IEEE Spectrum ranks the popularity of programming languages — but is there a problem? Programmers "are turning away from many of these public expressions of interest. Rather than page through a book or search a website like Stack Exchange for answers to their questions, they'll chat with an LLM like Claude or ChatGPT in a private conversation." And with an AI assistant like Cursor helping to write code, the need to pose questions in the first place is significantly decreased. For example, across the total set of languages evaluated in the Top Programming Languages, the number of questions we saw posted per week on Stack Exchange in 2025 was just 22% of what it was in 2024... However, an even more fundamental problem is looming in the wings... In the same way most developers today don't pay much attention to the instruction sets and other hardware idiosyncrasies of the CPUs that their code runs on, which language a program is vibe coded in ultimately becomes a minor detail... [T]he popularity of different computer languages could become as obscure a topic as the relative popularity of railway track gauges... But if an AI is soothing our irritations with today's languages, will any new ones ever reach the kind of critical mass needed to make an impact? Will the popularity of today's languages remain frozen in time? That's ultimately the larger question. "how much abstraction and anti-foot-shooting structure will a sufficiently-advanced coding AI really need...?" [C]ould we get our AIs to go straight from prompt to an intermediate language that could be fed into the interpreter or compiler of our choice? Do we need high-level languages at all in that future? True, this would turn programs into inscrutable black boxes, but they could still be divided into modular testable units for sanity and quality checks. And instead of trying to read or maintain source code, programmers would just tweak their prompts and generate software afresh. What's the role of the programmer in a future without source code? Architecture design and algorithm selection would remain vital skills... How should a piece of software be interfaced with a larger system? How should new hardware be exploited? In this scenario, computer science degrees, with their emphasis on fundamentals over the details of programming languages, rise in value over coding boot camps. Will there be a Top Programming Language in 2026? Right now, programming is going through the biggest transformation since compilers broke onto the scene in the early 1950s. Even if the predictions that much of AI is a bubble about to burst come true, the thing about tech bubbles is that there's always some residual technology that survives. It's likely that using LLMs to write and assist with code is something that's going to stick. So we're going to be spending the next 12 months figuring out what popularity means in this new age, and what metrics might be useful to measure. Having said that, IEEE Spectrum still ranks programming language popularity three ways — based on use among working programmers, demand from employers, and "trending" in the zeitgeist — using seven different metrics. Their results? Among programmers, "we see that once again Python has the top spot, with the biggest change in the top five being JavaScript's drop from third place last year to sixth place this year. As JavaScript is often used to create web pages, and vibe coding is often used to create websites, this drop in the apparent popularity may be due to the effects of AI... In the 'Jobs' ranking, which looks exclusively at what skills employers are looking for, we see that Python has also taken 1st place, up from second place last year, though SQL expertise remains an incredibly valuable skill to have on your resume."

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"Today's AIs are book smart," reports the Wall Street Journal. "Everything they know they learned from available language, images and videos. To evolve further, they have to get street smart." And that requires "world models," which are "gaining momentum in frontier research and could allow technology to take on new roles in our lives." The key is enabling AI to learn from their environments and faithfully represent an abstract version of them in their "heads," the way humans and animals do. To do it, developers need to train AIs by using simulations of the world. Think of it like learning to drive by playing "Gran Turismo" or learning to fly from "Microsoft Flight Simulator." These world models include all the things required to plan, take actions and make predictions about the future, including physics and time... There's an almost unanimous belief among AI pioneers that world models are crucial to creating next-generation AI. And many say they will be critical to someday creating better-than-human "artificial general intelligence," or AGI. Stanford University professor and AI "godmother" Fei-Fei Li has raised $230 million to launch world-model startup World Labs... Google DeepMind researchers set out to create a system that could generate real-world simulations with an unprecedented level of fidelity. The result, Genie 3 — which is still in research preview and not publicly available — can generate photo-realistic, open-world virtual landscapes from nothing more than a text prompt. You can think of Genie 3 as a way to quickly generate what's essentially an open-world videogame that can be as faithful to the real world as you like. It's a virtual space in which a baby AI can endlessly play, make mistakes and learn what it needs to do to achieve its goals, just as a baby animal or human does in the real world. That experimentation process is called reinforcement learning. Genie 3 is part of a system that could help train the AI that someday pilots robots, self-driving cars and other "embodied" AIs, says project co-lead Jack Parker-Holder. And the environments could be filled with people and obstacles: An AI could learn how to interact with humans by observing them moving around in that virtual space, he adds. "It isn't clear whether all these bets will lead to the superintelligence that corporate leaders predict," the article concedes. "But in the short term, world models could make AIs better at tasks at which they currently falter, especially in spatial reasoning."

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The BBC reports that a million-year-old human skull found in China suggests that the human species "began to emerge at least half a million years earlier than we thought, researchers are claiming in a new study." It also shows that we co-existed with other sister species, including Neanderthals, for much longer than we've come to believe, they say. The scientists claim their analysis "totally changes" our understanding of human evolution and, if correct, it would certainly rewrite a key early chapter in our history. But other experts in a field where disagreement over our emergence on the planet is rife, say that the new study's conclusions are plausible but far from certain. The discovery, published in the leading scientific journal Science, shocked the research team, which included scientists from a university in China and the UK's Natural History Museum. "From the very beginning, when we got the result, we thought it was unbelievable. How could that be so deep into the past?" said Prof Xijun Ni of Fudan University, who co-led the analysis. "But we tested it again and again to test all the models, use all the methods, and we are now confident about the result, and we're actually very excited." Thanks to long-time Slashdot reader sinij for sharing the article.

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Six months ago California had 48% more public and "shared" private EV chargers than gasoline nozzles. (In March California had 178,000 public and shared private EV chargers, versus about 120,000 gas nozzles.) Since then they've added 23,000 more public/shared charging ports — and announced this week that there's now 68% more EV charger ports than the number of gasoline nozzles statewide. "Thanks to the state's ever-expanding charger network, 94% of Californians live within 10 minutes of an EV charger," according to the announcement from the state's energy policy agency. And the California Energy Commission staff told CleanTechnica they expect more chargers in the future. "We are watching increased private investment by consortiums like IONNA and OEMs like Rivian, Ford, and others that are actively installing EV charging stations throughout the state." Clean Technica notes in 2019, the state had roughly 42,000 charging ports and now there are a little over 200,000. (And today there's about 800,000 home EV chargers.) This week California announced another milestone: that in 2024 nearly 23% of all the state's new truck sales — that's trucks, buses, and vans — were zero-emission vehicles. (The state subsidizes electric trucks — $200 million was requested on the program's first day.) Greenhouse gas emissions in California are down 20% since 2000 — even as the state's GDP increased 78% in that same time period all while becoming the world's fourth largest economy. The state also continues to set clean energy records. California was powered by two-thirds clean energy in 2023, the latest year for which data is available — the largest economy in the world to achieve this level of clean energy. The state has run on 100% clean electricity for some part of the day almost every day this year. "Last year, California ran on 100% clean electricity for the equivalent of 51 days," notes another announcement, which points out California has 15,763 MW of battery storage capacity — roughly a third of the amount projected to be needed by 2045.

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Paris-based AI giant Mistral "is pushing to improve its models," reports the Wall Street Journal, "by looking inside legacy enterprises that hold some of the world's last untapped data reserves...." Mistral's approach will be to form partnerships with enterprises to further train existing models on their own proprietary data, a phenomenon known as post-training... [At Dutch chip-equipment company ASML], Mistral embeds its own solutions architects, applied AI engineers and applied scientists into the enterprise to work on improving models with the company's data. [While Mistral sells some models under a commercial license], this co-creation strategy allows Mistral to make money off the services side of its business and afford to give away its open source AI free of charge, while improving model performance for the customer with more industry context... This kind of hand-holding approach is necessary for most companies to tackle AI successfully, said Arthur Mensch [co-founder and chief executive of Mistral]. "The very high-tech companies [and] a couple of banks are able to do it on their own. But when it comes to getting some [return on investment] from use cases, in general, they fail," he said. Mensch attributes that in part to a mismatch between expectations and reality. "The curse of AI is that it looks like magic. So you can very quickly make something that looks amazing to your boss," but it doesn't scale or work more broadly, he said. In other cases, enterprises simply might not know what to focus on. For example, it is a mistake to think equipping all employees with a chatbot will create meaningful gains on the bottom line, he said. Mensch said to fully take advantage of AI, companies will have to rethink organizational structures. With information flowing more easily, they could require fewer middle managers, for example. There is a lot of work yet to do, Mensch said, but in a large sense, the future of AI development now lies inside the enterprise itself. "This is a pattern that we've seen with many of our customers: At some point, the capabilities of the frontier model can only be increased if we partner," he said.

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Long-time Slashdot reader theodp says America's Patent and Trademark Office (USPTO) has granted a patent to Tableau (Salesforce's visual analytics platform) — for a patent covering "Data Processing For Visualizing Hierarchical Data": "A provided data model may include a tree specification that declares parent-child relationships between objects in the data model. In response to a query associated with objects in the data model: employing the parent-child relationships to determine a tree that includes parent objects and child objects from the objects based on the parent-child relationships; determining a root object based on the query and the tree; traversing the tree from the root object to visit the child objects in the tree; determining partial results based on characteristics of the visited child objects such that the partial results are stored in an intermediate table; and providing a response to the query that includes values based on the intermediate table and the partial results." A set of 15 simple drawings is provided to support the legal and tech gobbledygook of the invention claims. A person can have a manager, Tableau explains in Figures 5-6 of its accompanying drawings, and that manager can also manage and be managed by other people. Not only that, Tableau illustrates in Figures 7-10 that computers can be used to count how many people report to a manager. How does this magic work, you ask? Well, you "generate [a] tree" [Fig. 13] and "traverse a tree" [Fig. 15], Tableau explains. But wait, there's more — you can also display the people who report to a manager in multi-level or nested pie charts (aka Sunburst charts), Tableau demonstrates in Fig. 11. Interestingly, Tableau released a "pre-Beta" Sunburst chart type in late April 2023 but yanked it at the end of June 2023 (others have long-supported Sunburst charts, including Plotly). So, do you think Tableau should be awarded a patent in 2025 on a concept that has roots in circa-1921 Sunburst charts and tree algorithms taught to first-year CS students in circa-1975 Data Structures courses?

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"We've decided to support image-based search," announced the product manager for Firefox Search. Powered by the AI-driven Google Lens search technology, they promise the new feature offers "a frictionless, fast, and a curiosity-sparking way to (as Google puts it) 'search what you see'." With just a right-click on any image, you'll be able to: - Find similar products, places, or objects - Copy, translate, or search text from images - Get inspiration for learning, travel, or shopping Look for the new "Search Image with Google Lens" option in your right-click menu (tagged with a NEW badge at first). This is a desktop-only feature, and it will start gradually rolling out worldwide. Note: Google must be set as your default search engine for this feature to appear. We'll be listening closely to your feedback as we roll it out. Some of the things we're wondering about: Does the placement in the context menu align with your expectations? Would you prefer the option to choose your visual search provider? Where else would you like entry points to visual search (e.g. when you open a new tab, in the address bar, on mobile devices, etc.) We can't wait to hear your thoughts as the rollout begins! Some thoughts from WebProNews: Mozilla emphasizes that this is an opt-in feature, giving users control over activation, which aligns with the company's longstanding commitment to privacy and user agency. Yet, for industry observers, this partnership with Google raises intriguing questions about competitive dynamics in the browser space, where Firefox has historically positioned itself as an independent alternative to Chrome... This move comes at a time when browsers are increasingly becoming platforms for AI-driven enhancements, as evidenced by recent updates in competitors like Microsoft's Edge, which integrates Copilot AI. Mozilla's decision to leverage Google Lens rather than developing an in-house solution could be seen as a pragmatic step to accelerate feature parity, especially given Firefox's smaller market share. Insiders note that by tapping into established technologies, Mozilla can focus resources on core strengths like privacy protections, potentially attracting users disillusioned with data-heavy ecosystems... While mobile users might feel left out, the phased rollout over the next few weeks allows for feedback loops through community channels, a hallmark of Mozilla's open-source ethos. Data from similar integrations in other browsers suggests visual search can boost engagement by 15-20%, per industry reports, though Mozilla has not disclosed specific metrics yet... Looking ahead, Mozilla's strategy appears geared toward incremental innovations that bolster user retention without alienating its privacy-focused base. If successful, this could help Firefox claw back some ground against Chrome's dominance, estimated at over 60% market share. For now, the feature's gradual deployment invites ongoing dialogue, underscoring Mozilla's community-driven model in an industry often criticized for top-down decisions.

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Cristian Fleming paid around $70,000 for one of Fisker Ocean's electric mid-size crossover SUVs. Seven months later the company filed for bankruptcy in June of 2024, reports the Verge, "having only delivered 11,000 vehicles." "Early adopters were left with cars plagued by battery failures, glitchy software, inconsistent key fobs, and door handles that did not always open. With the company gone, there was no way to fix any issues." Regulators logged dozens of complaints as replacement parts vanished. Passionate owners who spent top dollar on high-end trims saw their cars reduced to expensive driveway ornaments. Rather than accept defeat, thousands of Ocean owners have organized into their own makeshift car company. The Fisker Owners Association (FOA) is a nonprofit that's launched third-party apps, built a global parts supply chain, and came together around a future for their orphaned vehicles. It's part car club, part tech startup, part survival mission. Fleming now serves as the organization's president... FOA calls itself the first entirely owner-controlled EV fleet in history. So far, 4,055 Ocean owners have signed up, paying $550 a year in dues that the group estimates will raise around $3 million annually, about 0.1 percent of Fisker's peak valuation. Only verified Ocean owners can become full members, but anyone can donate. The grassroots effort has precedent — DeLorean diehards and Saab enthusiasts have kept their favorite brands alive after factory closures. But those efforts focused on preserving aging vehicles. FOA is attempting something different: real-time software updates and hardware improvements for a connected, two-year-old EV fleet... The organization has spawned three separate companies. Tsunami Automotive handles parts in North America while Tidal Wave covers Europe, scavenging insurance auctions and contracting with tooling manufacturers to reproduce components. UnderCurrent Automotive, run by former Google and Apple engineers, focuses on software solutions. UnderCurrent's first product is OceanLink Pro, a third-party mobile app now used by over 1,200 members that restores basic EV features, such as remote battery monitoring and climate control. A companion device called OceanLink Pulse adds wireless CarPlay and Android Auto, with plans for future upgrades including keyless entry. "Those are things you would have expected to be in a $70,000 luxury car," says Clint Bagley [FOA's treasurer]. "But, you know, we're happy to provide what the billion-dollar automaker apparently couldn't."

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It's the world's largest companies by revenue. But Walmart's executives have a blunt message, reports the Wall Street Journal: "Artificial intelligence will wipe out jobs and reshape its workforce." "It's very clear that AI is going to change literally every job," Chief Executive Doug McMillon said this week in one of the most pointed assessments to date from a big-company CEO on AI's likely impact on employment... "Maybe there's a job in the world that AI won't change, but I haven't thought of it." Inside Walmart, top executives have started to examine AI's implications for its workforce in nearly every high-level planning meeting. Company leaders say they are tracking which job types decrease, increase and stay steady to gauge where additional training and preparation can help workers. "Our goal is to create the opportunity for everybody to make it to the other side," McMillon said. For now, Walmart executives say the transformation means the size of its global workforce will stay roughly flat even as its revenue climbs. It plans to maintain its head count of around 2.1 million global workers over the next three years, but the mix of those jobs will change significantly, said Donna Morris, Walmart's chief people officer. What the composition will look like remains murky... Already Walmart has built chat bots, which it calls "agents," for customers, suppliers and workers. It is also tracking an expanding share of its supply chain and product trends with AI... Some changes are already rippling across the workforce. In recent years Walmart has automated many of its warehouses with the help of AI-related technology, triggering some job cuts, executives said. Walmart is also looking to automate some back-of-store tasks. New roles have been established, too. Walmart, for example, created an "agent builder" position last month — an employee who builds AI tools to help merchants. It expects to add people in areas like home delivery or in high-touch customer positions, such as its bakeries. The company has also added more in-store maintenance technicians and truck drivers in recent years. The article also a comment made by Ford Motor Chief Executive Jim Farley earlier this summer. "Artificial intelligence is going to replace literally half of all white-collar workers in the U.S."

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"Researchers have modified a standard glue gun to 3D print a bone-like material directly onto fractures," reports LiveScience, "paving the way for its use in operating rooms." The device, which has so far been tested in rabbits, would be particularly useful for fixing irregularly shaped fractures during surgery, the researchers say. "To my knowledge, there are virtually no previous examples of applying the technology directly as a bone substitute," study co-author Jung Seung Lee, a biomedical engineer at Sungkyunkwan University in South Korea, told Live Science in an email. "This makes the approach quite unique and sets it apart from conventional methods...." "Further studies in larger animal models are needed before the technology can be used on humans," the article points out. Thanks to long-time Slashdot reader fahrbot-bot for sharing the article.

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Friday the security researchers at Arctic Wolf Labs wrote: In late July 2025, Arctic Wolf Labs began observing a surge of intrusions involving suspicious SonicWall SSL VPN activity. Malicious logins were followed within minutes by port scanning, Impacket SMB activity, and rapid deployment of Akira ransomware. Victims spanned across multiple sectors and organization sizes, suggesting opportunistic mass exploitation. This campaign has recently escalated, with new infrastructure linked to it observed as late as September 20, 2025. More from Cybersecurity News: SonicWall has linked these malicious logins to CVE-2024-40766, an improper access control vulnerability disclosed in 2024. The working theory is that threat actors harvested credentials from devices that were previously vulnerable and are now using them in this campaign, even if the devices have since been patched. This explains why fully patched devices have been compromised, a fact that initially led to speculation about a potential zero-day exploit. Once inside a network, the attackers operate with remarkable speed. The time from initial access to ransomware deployment, known as "dwell time," is often measured in hours, with some intrusions taking as little as 55 minutes, Arctic Wolf said. This extremely short window for response makes early detection critical. "Threat actors in the present campaign successfully authenticated against accounts with the one-time password (OTP) MFA feature enabled..." notes Artic Wolf Labs: The threats described in this campaign demand early detection and a rapid response to avoid catastrophic impact to organizations. To facilitate this process, we recommend monitoring for VPN logins originating from untrusted hosting infrastructure. Equally important is ensuring visibility into internal networks, since lateral movement and ransomware encryption can occur within hours or even minutes of initial access. Monitoring for anomalous SMB activity indicative of Impacket use provides an additional early detection opportunity. When firewalls are confirmed to be running firmware versions vulnerable to credential access or full configuration export, patching alone is not enough. In such situations, credentials must be reset wherever possible, including MFA-related secrets that might otherwise be thought of as secure, and Active Directory credentials with VPN access. These considerations are best practices that apply regardless of which firewall products are in use. Thanks to Slashdot reader Mirnotoriety for suggesting this story.

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After the nonprofit Ruby Central removed all RubyGems' maintainers from its GitHub repository, André Arko — who helped build Bundler — wrote a new blog post on Thursday "detailing Bundler's relationship with Ruby Central," according to this update from The New Stack. "In the last few weeks, Ruby Central has suddenly asserted that they alone own Bundler," he wrote. "That simply isn't true. In order to defend the reputation of the team of maintainers who have given so much time and energy to the project, I have registered my existing trademark on the Bundler project." He adds that trademarks do not affect copyright, which stays with the original contributors unchanged. "Trademarks only impact one thing: Who is allowed say that what they make is named 'Bundler,'" he wrote. "Ruby Central is welcome to the code, just like everyone else. They are not welcome to the project name that the Bundler maintainers have painstakingly created over the last 15 years." He is, however, not seeking the trademark for himself, noting that the "idea of Bundler belongs to the Ruby community." "Once there is a Ruby organization that is accountable to the maintainers, and accountable to the community, with openly and democratically elected board members, I commit to transfer my trademark to that organization," he said. "I will not license the trademark, and will instead transfer ownership entirely. Bundler should belong to the community, and I want to make sure that is true for as long as Bundler exists." The blog It's FOSS also has an update on Spinel, the new worker-owned collective founded by Arko, Samuel Giddins [who Giddins led RubyGems security efforts], and Kasper Timm Hansen (who served served on the Rails core team from 2016 to 2022 and was one of its top contributors): These guys aren't newcomers but some of the architects behind Ruby's foundational infrastructure. Their flagship offering is rv ["the Ruby swiss army knife"], a tool that aims to replace the fragmented Ruby tooling ecosystem. It promises to [in the future] handle everything from rvm, rbenv, chruby, bundler, rubygems, and others — all at once while redefining how Ruby development tools should work... Spinel operates on retainer agreements with companies needing Ruby expertise instead of depending on sponsors who can withdraw support or demand control. This model maintains independence while ensuring sustainability for the maintainers. The Register had reported Thursday: Spinel's 'rv' project aims to supplant elements of RubyGems and Bundler with a more modular, version-aware manager. Some in the Ruby community have already accused core Rails figures of positioning Spinel as a threat. For example, Rafael FranÃa of Shopify commented that admins of the new project should not be trusted to avoid "sabotaging rubygems or bundler."

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An anonymous reader shared this report from Computer Weekly: Policing data hosted in Microsoft's hyperscale cloud infrastructure could be processed in more than 100 countries, but the tech giant is obfuscating this information from its customers, Computer Weekly can reveal. According to documents released by the Scottish Police Authority (SPA) under freedom of information (FoI) rules, Microsoft refused to hand over crucial information about its international data flows to the SPA and Police Scotland when asked... The tech giant also refused to disclose its own risk assessments into the transfer of UK policing data to other jurisdictions, including China and others deemed "hostile" in the DPIA documents. This means Police Scotland and the SPA — which are jointly rolling out Office 365 — are unable to satisfy the law enforcement-specific data protection rules laid out in Part Three of the Data Protection Act 2018 (DPA18), which places strict limits on the transfer of policing data outside the UK. The same documents also contain an admission from Microsoft — given while simultaneously refusing to divulge key information about data flows — that it is unable to guarantee the sovereignty of policing data held and processed within its O365 infrastructure. This echoes the statements senior Microsoft representatives made to the French senate in June 2025, in which they admitted the company cannot guarantee the sovereignty of European data stored and processed in its services generally. The revelation that Microsoft may access customer data from more than 100 countries is a result of the correspondence previously disclosed under Freedom of Information and reported on by Computer Weekly... All in all, an analysis of Microsoft's distributed documentation — conducted by independent security consultant Owen Sayers and shared with Computer Weekly — suggests that Microsoft personnel or contractors can remotely access the data from 105 different countries, using 148 different sub-processors. Despite technically being public, Sayers highlighted how this information is not transparently laid out for Microsoft customers, and is distributed across different documents contained in non-indexed webpages.... "[A]ny normal amount of due diligence — even if it is conducted by skilled persons will likely fail to see the full scope of offshoring in play," he said... Microsoft did not contest the accuracy of the remote access location figures cited by Computer Weekly in this story.

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"Researchers have found that the carbon footprint of generative AI-based tools that can turn text prompts into images and videos is far worse than we previously thought," writes Futurism: As detailed in a new paper, researchers from the open-source AI platform Hugging Face found that the energy demands of text-to-video generators quadruple when the length of a generated video doubles — indicating that the power required for increasingly sophisticated generations doesn't scale linearly. For instance, a six-second AI video clip consumes four times as much energy as a three-second clip. "These findings highlight both the structural inefficiency of current video diffusion pipelines and the urgent need for efficiency-oriented design," the researchers concluded in their paper... Fortunately, there are ways to slim down those demands, including intelligent caching, the reusing of existing AI generations, and "pruning," meaning the sifting out of inefficient examples from training datasets. The Hugging Face researchers gave their paper a cheeky title. "Video Killed the Energy Budget: Characterizing the Latency and Power Regimes of Open Text-to-Video Mode."

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