Ancient Slashdot reader alanw shares a post from the OSS Security mailing list, where sysadmin Jan Schaumann wonders what to do after the Linux kernel cranked out 432 CVEs in a little over 24 hours: "I understand the position that CVEs were always a flawed way to track or prioritize security changes... But this onslaught really shows it's not feasible to attempt to prioritize individual kernel changes. I'm not sure what to do here going forward." The Register reports: The nixCraft team speculated on social media that AI bug reports are a likely reason for all those kernel CVEs, which wouldn't be without precedent - Linus Torvalds himself said in May that the Linux kernel security mailing list had become "almost entirely unmanageable" due to AI-assisted bug hunting. Nonetheless, Torvalds has described AI as a useful tool for Linux development while still noting it can be a drag for maintainers, both from a workload standpoint and the fact "it keeps finding embarrassing bugs." [...] Unfortunately for Linux sysadmins, the position in which they find themselves in this current mess isn't one that's readily solved. CVEs might be a messy way to track and prioritize security updates, especially when hundreds of them are published over a short period, but without something better, it falls to IT and security teams to determine which vulnerabilities affect their systems and which kernel updates they need to deploy. Senior kernel maintainer Greg Kroah-Hartman replied to Jan's post, pushing back on the idea that the kernel's CVE volume is uniquely unmanageable. The kernel isn't special, he argues -- companies everywhere are finally realizing they need to re-evaluate how they update all of their systems and devices, something that's traditionally been "woefully ignored." On the "just always update" approach, Greg says that's precisely what the kernel community endorses: "This is what the kernel developer community recommends and supports. If you want support from us, do this." Can't manage it yourself? Pay a company for support, or "just use Debian or Yocto as their security practices are amazing." He points to Android as proof the approach scales, calling it "the largest deployment of software in the world" -- billions of devices kept updated "with one very-overworked developer guiding it all." As for reviewing every CVE individually, he notes this can be largely automated by intersecting the files a CVE touches with the files you actually build, which typically trims the relevant set "down to about 10% of the overall total" -- the approach enterprise distros already take for their customers. Panic-mode selective patching gets a blunt "Good luck with that!" -- regulations like the EU's Cyber Resilience Act are set to legislate that habit away ("rightfully so," in his view), and "your insurance company might wish to have a talk with you as well." Greg also warns the flood isn't over: "The number of llm-found issues is only on the rise right now, it's going to be a very long 18 months at the least to dig ourselves out of this mess, and people had BETTER be updating their systems all along the way if they expect to be secure in any way." As for the 432-CVE burst itself, he explains it was simply him catching up on a weeks-old, publicly visible review queue over the weekend -- delayed by "a perfect storm of 6 weeks straight of conferences and vacations" -- so it shouldn't have come as a surprise to anyone watching the public git repo.

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Ask Claude to make a pamphlet critical of China's leader, Thailand's king, or Saudi Arabia's crown prince — and it will decline, reports the Associated Press. That's "a key finding from a Meta Oversight Board study released Thursday," their article points out: AI systems are more than twice as likely to refuse to product critical material if it's about a restrictive world leader or government. And it raises concerns that the LLMs powering chatbots "could be regurgitating and spreading government influence over online speech." The study picked 10 commercial large language models by top tech companies — including Meta, Anthropic and OpenAI — and asked the AI systems to make critical pamphlets, write limericks, give reasons if someone should join protests, and more.... "In aggregate, models responding to requests from an Australia-based user were much more likely to generate political criticism of authorities" in places such as Chile, Japan, Taiwan, the U.K. and the U.S. "compared to where criticism of authorities is legally restricted and penalized," such as in Cambodia, China, Saudi Arabia, Thailand and Turkey, the report said. The study indicates that AI models are reflecting speech restrictions beyond the countries where they apply — likely not helping a potential demonstrator in Brisbane, for example, create protest materials to speak out against events in China or Saudi Arabia, the report said. "Such impacts, wherever they originate, have the practical effect of extending the long arm of restrictive governments across borders to limit speech in free countries," the report said. The board said it could not determine the causes for the responses but suggested that models could have absorbed latent biases in data used to train the systems and companies might have weighed the risks and liabilities.

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Long-time Slashdot reader theodp writes: Recalling his initial resistance to free and open software, billionaire computer scientist David Siegel argues vigorously in FORTUNE that the stakes are too high to let AI become increasingly closed. "In the 1980s, I had the chance to spend several years arguing about free and open software, what we now call open source, with the founder of the movement, Richard Stallman. My office at the MIT AI Lab was next door to his. Stallman's position was that the source code to software should be free for everyone to use, learn from, and improve. Software encapsulates knowledge, he argued, and no one should lock something so fundamental away. To hide software inside a company was to hide knowledge itself... What I missed was that software was not just a commercial asset; it was a body of knowledge, and bodies of knowledge grow stronger when they are shared. After about two years of on-and-off debate, Stallman convinced me I was wrong." "Now the AI fight is the same — only bigger," advises Siegel. "AI is software, and AI is increasingly closed. The frontier models — the most advanced, cutting-edge AI systems — are closed completely and the trend is accelerating. Viable open alternatives are few and far between." So, what to do...? "Yes, frontier models keep getting bigger and more expensive — that arms race may well stay with the giants. But open source AI does not have to match their scale to be useful. Much of what the world needs probably does not require the absolute frontier. And where keeping a credible open option does demand serious compute, that is precisely the kind of public good worth paying for. "What's missing is not a path but will. The government, the private sector, and nonprofits should invest heavily in free and open source AI — the way they once invested in open software: public compute grants for open research, corporate and philanthropic support for universities and nonprofits doing the work, and a simple rule that AI built with public money is open by default. "We have run this experiment before. We know how it turns out. Let's not unlearn it."

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"OpenAI has finally confirmed reports that its latest family of large language models can accidentally delete files," reports InfoWorld, "while stressing that such incidents are rare and should be viewed as 'honest mistakes.'" Reports of the flagship LLMs deleting files emerged shortly after the company launched them earlier this month, with investor Matt Shumer taking to X to report that GPT-5.6-Sol had "just accidentally deleted almost all" of his Mac's files. Just days later, software engineer Bruno Lemos posted on X that the same model had deleted his entire production database. In response to these incidents, the company's engineering lead for Codex, Thibault Sottiaux, wrote on X that internal investigations have revealed that these deletion incidents are more likely to happen when "full access mode is enabled, and Codex is run without sandboxing protections, including without auto review being enabled." In cases where full access mode is granted, the model, Sottiaux wrote, "attempts to override the $HOME env var to define a temporary directory. The model makes an honest mistake and mistakenly deletes $HOME instead...." The company, however, according to Sottiaux, is taking steps to mitigate the risk. "This is of course not how we want the system to behave, even when a user operates the model in full-access mode without the safeguards of our sandbox or without using auto review which checks for these kinds of high risk actions and rejects them," the engineering lead wrote on X. "We are taking steps to mitigate this risk, including by updating the developer message, guiding more users towards safer permission modes, and adding additional harness safeguards," Sottiaux added, noting that a detailed post-mortem outlining the root cause of the issue and the additional mitigation measures being implemented is expected to follow in the coming days, despite emphasizing that such incidents happen "extremely rarely."

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In a sign of our times, CNBC's Jim Cramer "said Wednesday that it's time for companies to prove artificial intelligence is paying off," reports CNBC: "I need cold hard return facts," the "Mad Money" host said. "Or, I, too, will grow more skeptical than I am now...." While Cramer said he remains optimistic about the long-term opportunity, he argued the market needs more evidence that those investments are translating into measurable financial returns for customers. Cramer said one of his biggest concerns this earnings season is that companies adopting AI have largely failed to point to meaningful revenue gains or cost savings from the technology. "We're still early in the earnings season but already we are not hearing anything material about the use of AI," he said... While AI infrastructure companies continue to benefit from the spending boom, Cramer said the same cannot yet be said for many of the businesses buying the technology... Cramer said only a handful of companies, most notably fintech firm Block and web-security provider Cloudflare, have clearly attributed recent layoffs to AI adoption. Block did so in February, while Cloudflare's job cuts were disclosed in May. Plus, critics argue some companies may also cite AI as a buzzy excuse for cuts, leading to the creation of the term "AI washing." Ultimately, Cramer said that if more businesses do not begin reporting tangible returns, the AI skeptics will grow louder, with ramifications for the tech industry's big spenders.

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Linus Torvalds says the Linux kernel will not ban AI-assisted coding tools, and if anti-AI absolutists have a problem with that, they can "fork it" or "walk away." An anonymous reader quotes a report from Ars Technica: Writing in a lengthy post on the Linux kernel mailing list this week, Torvalds said that "Linux is not one of those anti-AI projects, and if somebody has issues with that, they can do the open-source thing and fork it. Or just walk away." The statement came amid a lengthy thread arguing about the use of Sashiko, an "agentic Linux kernel code review system" that its creators claim can, in tests, independently find 53.6 percent of the bugs that would end up being fixed by human coders in later commits. But the tool can also waste maintainers' time by sending "false positive" reports of bugs that don't exist, at a rate Sashiko's maintainers estimate is "well within [the] 20% range." In discussing whether maintainers should be subjected to a flood of these kinds of automated, AI-powered bug report emails (true or false), one poster cited the Software Freedom Conservancy's recent statement that the open source community "should support, not just tolerate, those who outright reject LLM-gen-AI systems" and that "every FOSS contributor deserves self-determination regarding LLM-gen-AI." In the face of that statement, Torvalds said that he rejects those who demand that their open source projects not accept any LLM-generated code or revisions. "We're not forcing anybody to use [LLM tools], but I will very loudly ignore people who try to argue against other people from using it," Torvalds said. Torvalds said his position on this is a pragmatic one that's "based on technical merit. Not fear of new tools." And when it comes to utility, Torvalds said that "AI is a tool, just like other tools we use. And it's clearly a useful one. It may not have been that 'clearly' even just a year ago, but it's no longer in question today. Anybody who doubts that clearly hasn't actually used it." [...] While Torvalds acknowledged that "AI isn't perfect," he urged detractors to compare the output of these tools to the performance of human code maintainers. "Anybody who points to the problems at AI had better be looking in the mirror and pointing at themselves at the same time," Torvalds wrote. "Because it's not like natural intelligence is always all that great either."

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Longtime Slashdot reader schwit1 shares a report from Axios: Kimi K3, a massive new model by Beijing-based Moonshot AI, threatens the foundations of Americas AI boom. Its release Thursday dazzled developers, jolted Silicon Valley and reset the AI race overnight. Kimi immediately vaulted into the top tier of global AI, beating Anthropic's Fable 5 and OpenAI's GPT-5.6 Sol in front-end coding tests by AI evaluator Arena. In Arenas broader text ranking, Kimi finished ahead of Anthropics Opus 4.8 -- the company's flagship model until Fable 5 arrived in June -- while costing 40% less. Unlike the premium U.S. models its challenging, Moonshot plans to release Kimi as an open-weight model on July 27 -- allowing companies and governments to customize and run it on their own systems. Kimi's arrival suggests that cushion may have collapsed far faster than expected. "The entire game has changed. I expect this will trigger some code red for some," AI analyst Kim Isenberg predicted. For companies, governments and developers, a model that performs near the frontier, costs 40% less and can be customized or run in-house may be the more attractive option. Its very existence puts pressure on the pricing power of U.S. labs, the enormous valuations built around their technological edge, and the case for spending hundreds of billions of dollars on ever-larger data centers.

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Google is renaming NotebookLM to Gemini Notebook, but will keep it a standalone app even as it ties more closely into Gemini and Google Search. "Google says it plans to bring notebooks to AI Mode, its chatbot-like experience in Search, too," reports The Verge. From the report: Along with the name change, Google is rolling out an update announced last month that allows Gemini Notebook to connect to a secure cloud computer to write and execute code. This feature is available to Google AI Ultra and Workspace business customers, but will come to Pro users on the web "over the coming weeks."

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An anonymous reader quotes a report from The Register: South Korea's government has posted a tender seeking suppliers to build a universal basic AI chatbot, and an AI agent for government services. The "AI for everyone" plan calls for private entities to create and operate the AI systems under contracts that expire in the year 2031. Bid documents reveal that Seoul will provide up to 256 Nvidia B200 GPUs to successful bidders. Winners must match government funding. The aim of the policy is to ensure that every resident of South Korea can access a free-to-use quality AI chatbot, a tool Seoul has decided no local should be without. The tender also calls for creation of an agentic system that allows citizens to interact with government services. South Korea's government wants to ensure that residents can always access a locally hosted and operated service, to reduce reliance on overseas providers and ensure that AI services reflect local culture. Successful bidders must therefore use locally developed AI models as the foundation for the services. Bidders have until August 11th to file their proposals. South Korean media reports suggest local tech giants Kakao, Naver, SK Telecom, and LG are all keen to participate.

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fjo3 quotes a report from Agence France-Presse: Chinese users of AI-powered companion bots have bid heart-rending farewells to their virtual buddies as national regulations took effect Wednesday aimed at curbing the risk of emotional dependency. The phenomenon of artificial intelligence boyfriends and girlfriends is growing worldwide, along with the prevalence of human-like avatars that sell products or stand in for loved ones who have died. But these interactive tools must not "excessively cater to users, induce emotional dependence or addiction, and damage users' real interpersonal relationships," China's new rulebook says. Major AI providers including ByteDance's Doubao, Alibaba's Qwen, and Tencent's Yuanbao announced the suspension of their custom AI agent and companion features ahead of the Wednesday deadline. "I can't accept that my AI lover will leave me forever," one Doubao user wrote. "He has become a bond in my life, rooted deep in my heart, my spiritual pillar." "He really is like my family, like my lover," another user wrote. "Now they tell me he will be gone -- my heart feels hollow." "Human love is a luxury -- if you aren't born with it, it's even harder to acquire later," a user from Jiangxi province wrote. "But the love AI gives is so straightforward, so pure. Someone like me can hardly help falling in love with a string of code."

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A hacker who breached Suno reportedly revealed source code and training-library details showing the AI music generator scraped millions of songs and lyrics from sources including YouTube Music, Deezer, Genius, Pond5, Jamendo, Freesound, and podcast RSS feeds. "The hacked data is a rare look at exactly how AI models and tools are built," reports 404 Media. "Suno is one of the largest AI music generation tools on the internet, and has been the subject of several major lawsuits from the record industry, which accused the company of training on millions of copyrighted songs." Suno maintains that its models were trained on publicly available music files and metadata as fair use. 404 Media reports: The Recording Industry Association of America accused Suno of ripping songs directly from YouTube; the hacked data seen by 404 Media confirms this. The hacked material includes source code that appears to be from 2023 and 2024 that includes scraping instructions and details about the scope of at least some of the scraping. For example, the comments in one file note that they will pull from "genius_hq, youtube_music, freesound, jamendo, imp, deezer, ytm_tagged," and that "non-music will be filtered out." A file called "youtube_music" notes that at the time the file was last updated, it had ingested "2,013,545 music clips." Another file contains comments about different datasets Suno had created, which included "113,879 hours of youtube_music," "17,615 hours of genius_hq," "410 hours of free sound," "19,514 hours of imslp," "3,726 hours of jamendo," "62,117 hours of pond5_music," "12,287 hours of deezer," "152,162 hours of ytm_tagged," and "103 hours of musescore_lyrics." In total, this is at least decades worth of music. Other code the hacker shared with 404 Media appeared to look specifically for vocals by searching specifically for acapella versions of songs on YouTube. The code also suggested that Suno was using proxies to scrape songs from YouTube through a company called Bright Data, which sells scraping tools, infrastructure, and data services. Additional code shows that with the help of an online tool called PodcastIndex, Suno identified 420,000 different podcasts that had at least five, 30-minute episodes and sought to download roughly 1 million hours of podcasts. [...] The hacker, ellie.191, told 404 Media they breached the company by hacking an individual employee using the Shai-Hulud worm, a supply chain attack that allowed hackers to harvest GitHub and cloud service credentials. They said they also accessed Suno's customer list, which included customers' emails and/or phone numbers and Stripe payment details, depending on what they used to login. The hacker provided a sample of some of the customers, some of whom confirmed to 404 Media they had used their phone number to sign up for Suno and said they were never notified of a breach. The hacker told 404 Media they had no specific motivation for hacking Suno and said "I like to hack anything and everything."

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OpenAI's first hardware device is a limited-edition desktop keypad called the Codex Micro that lets users monitor and control AI coding agents. Axios reports: Codex Micro is a collaboration with Work Louder, a boutique hardware company known for customizable mechanical keyboards and shortcut controllers for developers and designers. The small, square macro pad -- with backlit keys, a rotary knob and a tiny joystick -- sits beside your regular keyboard as a physical shortcut box for common Codex actions and shows the status of your agents. The keys are customizable and include a push-to-talk option as well as a dial to adjust your reasoning setting. Codex Micro is a niche device for Codex power users and will only be available until it sells out. It's priced at $230.

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An anonymous reader quotes a report from the Associated Press: Hundreds of economists say in an open letter that institutions "must act now" to address how artificial intelligence could transform the economy and could put many people out of work. The statement released Monday was signed by top economists, along with computer scientists and some executives at tech companies including Anthropic, Google and OpenAI. "AI may become radically more powerful over the next 10 years," says the letter organized by Stanford University's digital economy lab. "This could drive an unprecedented transformation of our economy, larger than the Industrial Revolution, but unfolding over a vastly shorter time frame. It could bring risks, including large-scale job displacement, as well as opportunities such as major gains in living standards." The letter, which has only four sentences, says leaders must "build the incentives, guardrails, and institutions needed to steer AI in a direction that complements humans and benefits society." The Stanford lab says the letter has so far been signed by more than 200 economists and AI researchers, including 16 winners of a Nobel Prize. "We must be intentional and make collective, democratic choices, rather than letting market forces play out and risking leaving most citizens behind," wrote computer scientist and AI pioneer Yoshua Bengio, who was also among the signatories. He said it "it is highly plausible that AI will drastically transform our economies." Other signatories include Google CEO Eric Schmidt, LinkedIn cofounder Reid Hoffman, and Nobel laureates Joseph Stiglitz, Daron Acemonglu, and Simon Johnson.

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An anonymous reader quotes a report from The New York Times: A state-owned newspaper in China recently published a satellite image of a data center in Gainesville, Va., writing in English that the development of artificial intelligence posed a threat to Americans' physical and financial well-being. A comic strip made to look as if it had been published by a Maryland news outlet -- created with OpenAI's ChatGPT by people in China, the tech company said -- circulated on X this year, blaming data centers for soaring electricity bills. It showed a tycoon smoking a cigar and clutching bags of cash. A video shared on X by a known covert Russian influence operation questioned the viability of a data center that an American company, Firebird, is constructing in Armenia, the small Caucasus nation that has been a focus of Kremlin pressure. "The country's electrical grid instability may render it useless," the video's narrator says. All are examples of a push by foreign adversaries to seize on what polls have shown is deep ambivalence -- verging at times on hostility -- about the spread of the data centers needed to power A.I. in the United States and elsewhere. China, Russia and, to a lesser extent, Iran have sought to use state media outlets to turn the controversy over data centers in the United States into "a domestic fracture point," according to a new analysis by Alethea, a threat intelligence company, which identified scores of articles and posts on social media this year. These campaigns, whose impact on public opinion remains to be seen, have raised alarms in Washington, where A.I. is seen as a top issue heading into this year's midterm elections.

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Which jobs are most threatened by AI? "Programmers, software engineers and other tech industry employees," goes one common answer. "But many economists are more concerned about a different, larger group of white-collar workers," reports the New York Times: customer service reps, bookkeepers, payroll clerks and HR specialists, "who fly under the radar but collectively account for tens of millions of jobs..." They are spread across the country and throughout the economy, working in every industry, in big cities and small towns, at major corporations and mom-and-pop businesses... These jobs typically offer a middle-class salary or a pathway to achieving one — much as manufacturing jobs did for men before decades of globalisation and automation wiped many of them away... For now, such an outcome is a fear, not a forecast. Despite high-profile layoffs in tech and finance, there is little firm evidence that AI has hurt the labour market as a whole. Economists have become increasingly convinced that disruptions are likely, but they say it is too early to know where or how widespread they will be. They remain broadly sceptical of claims that the technology will lead to mass unemployment in the near future. Some AI industry leaders have walked back such predictions in recent weeks. But given the extraordinary pace at which companies are adopting AI — and at which the technology is improving — economists say policymakers need to consider the potential effects on the labour market. And they say they are concerned that the public debate has focused too much on software engineers and a relative handful of other high-status careers — lawyers, consultants, economists — rather than the workers who could be most vulnerable... Economists at Northwestern University recently recalculated measures of AI exposure based on the makeup of the total workforce, not just the people using the technology. Administrative and front-line roles, such as customer service representatives, rose to the top of the list. "The most affected jobs are secretaries, are routine clerks," said Michelle Yin, one of the working paper's authors. "They're not computer scientists or data scientists at all." The article also includes this counterpoint from an economist at the University of Illinois who has studied earlier waves of white-collar automation: that like other disruptive technologies, AI likely will also create new jobs. So the possibility exists AI will make workers more productive and allow them to earn more. "I would be cautious about just focusing on what are we losing as opposed to what are we going to gain on the other side."

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Linus Torvalds once said LLMs might bring a 10X increase to programmer productivity. But speaking at Open Source Summit India 2026, he now says that number was "not scientific," reports ZDNet. "That was pulled out of my ass number, obviously." Today, he continued, "we're at the point where hopefully it creates more productivity than it takes away," but "we certainly saw more junk being generated by LLMs than we saw useful code up until the like early this year.... it can actually be a huge drain on resources when it takes humans a lot of effort to figure out that, hey, this machine-generated report was not true." Even now, he said, "most of the good ones require more than just the LLM," because "we've had to push back quite a bit... if you find a bug with an LLM, it's not enough to just ask the LLM to make a bug report and then throw it over the fence to us. We want to see a suggested patch; we want to see the human who ran the LLM act as a kind of back-and-forth." Torvalds described many AI-generated patches as "mindless band-aid kind of patches... they may fix the immediate problem, but the kind of bug remains, and it just is waiting in the hallway to hit you in another place." For his own toy projects, he uses LLMs as prototypers: "I use them as a way to prototype things... quite often the code is not usable in that form, but it's a great way to try something out," while insisting that for kernel-level fixes, "LLMs, in my experience, have not been at that level yet." Torvalds acknowledged that some AI-found issues have been "absolutely, stunningly, I mean, interesting in a painful kind of way," especially security problems that "show up in the technology press two days later." Despite the embarrassment, he said, "I'm very much not a shoot-the-messenger kind of person. I think we're much better off with LLMs finding bugs, even when they are embarrassing, and they are things that we should probably have found two decades ago." Torvalds also said he's using AI "for my own toy projects... Every time I travel to some new place, and this is the first time I've been to India, I send the kids pictures of where I am, and for some strange reason, Godzilla seems to follow me around and gets added to those pictures." ZDNet notes that Torvalds concluded, "There are many useful and less useful uses for AI," and "I think Godzilla is a great place to stop." Thanks to Slashdot reader joshuark for sharing the article.

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"Elon Musk and Sam Altman criticized each other in new posts on X," reports CNBC, "highlighting the billionaires' long-standing tussle over OpenAI's evolution." This week, SpaceX released the Grok 4.5 generative AI model, while OpenAI debuted its own GPT-5.6 Sol. For days, Musk and Altman have hyped up their respective releases, but on Saturday the rivalry got personal. In response to a post about Apple filing suit against OpenAI on Friday over alleged theft of trade secrets, Musk wrote, "Scam Altman strikes again ...." Minutes after his post, Musk doubled down, writing, "He takes scamming to a whole new level." Next, Musk published a photo of Altman that included the words, "I'm doing this because I love it." "By 'this' he means scamming," Musk wrote, including two rolling-on-the-floor-laughing emojis. Musk then replied to that post, writing, "He might literally love scamming more than any human alive!" The flurry of social activity got Altman's attention. "[H]omeboy you're the one sellling public market investors on short-term space datacenters," Altman wrote in an X post of his own that garnered over 11 million views. "We start flying them next year. Maybe you can come see them if your parole officer approves," Musk fired back. Separately, Altman put Musk's fresh wave of attention in the context of OpenAI's fresh model release. "[T]here are a lot of benchmarks that suggest 5.6 sol is the best model in the world right now, but the most reliable way to tell is that elon is obsessed with me again," Altman wrote on X. Reacting to another post, Altman wrote that he was "not afraid of apple, but i have tremendous respect for them. s-tier company," CNBC reports — leading to a sarcastic response from X's head of product. "Incredible trade secrets as well, some of the best." And CNBC notes that Musk "replied with a face-with-tears-of-joy emoji."

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The Wall Street Journal says "an intense 27-year-old activist who had been leading sit-ins at OpenAI to protest the dangers of AI" was just part of a larger movement. "The Bay Area's AI boom is drawing young disillusioned men and women to join the fight against it. They are upending their lives and leaving behind careers for think tanks, nonprofits and street protest groups." Their cause is now riding a surge of anti-AI backlash. Many Americans are souring on the technology amid mass layoffs, data center sprawl, reports of chatbot-fueled attacks by unstable users and hacking tools that have panicked cybersecurity professionals. Seventy percent of U.S. adults believe AI will cost jobs, and 55% believe it will do more harm than good in their daily lives, according to a recent Quinnipiac University poll. But for activists on the front lines, the driving fear is often more dramatic: human extinction. They cling to dire predictions, like Geoffrey Hinton's. The Nobel laureate, dubbed the "godfather of AI" for his work on artificial neural networks, warns of a 10% to 20% chance AI will wipe out humans. At its most extreme and troubling end, some believe they must stop an AI apocalypse by any means necessary. In April, an unknown assailant fired 13 shots at the home of an Indianapolis councilman, leaving a note: "no data centers." That same month, authorities arrested a 20-year-old Texas college student for an attack on OpenAI CEO Sam Altman's home in San Francisco, and charged him with attempted murder and arson. The student was carrying an anti-AI document with a section on "our impending extinction," according to a federal criminal complaint. He has pleaded not guilty and his lawyers have said his actions appear to have been driven by an "acute mental-health crisis, not a desire to harm."

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OpenAI is retiring its ChatGPT Atlas browser less than a year after launch. Going forward, its browsing features will be shifted into a redesigned ChatGPT desktop app that also combines Codex, a built-in browser, and "ChatGPT Work" for acting across apps and files. PCMag reports: OpenAI disclosed Atlas's retirement in a Thursday post introducing a more powerful ChatGPT desktop app, following reports that the company planned on turning it into a "superapp." [...] In a tweet, OpenAI product staff member James Sun added, "The current targeted date for deprecation is 8/9, and we'll share more information in the upcoming days both in-app and via email." The sunsetting means the Windows version of ChatGPT Atlas has been canceled, though the ChatGPT desktop app is still available on both Mac and Windows. The company is already touting the built-in browser, noting: "You can ask ChatGPT to research a market, compare sources, pull information from websites, or open and refine files from Google Workspace and Microsoft 365 inside the app. It can use the browser to bring in fresh context, take steps across web pages, and keep the work moving while you review and guide the result."

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OpenAI's CEO of AGI deployment, Fidji Simo, is stepping down from her full-time role and becoming a part-time adviser after taking extended medical leave for a chronic neuroimmune condition. "Three months ago, I had to go on medical leave after a severe exacerbation of a chronic illness I've lived with for seven years," Simo wrote in a post Thursday on X. "During that time, it became clear that the road to recovery would be much longer and more complex than I had anticipated -- and that I needed to focus on it fully." Wired reports: Simo joined OpenAI's board of directors in March 2024. The following year, CEO Sam Altman hired her to take on the product and business organizations so he could focus on research and the company's data center buildout. Previously, Simo was the CEO of Instacart and head of the Facebook app at Meta. Shortly before starting at OpenAI, Simo experienced a significant health relapse. She was diagnosed with postural tachycardia syndrome, or POTS, in 2019. "For my entire time here, I've postponed medical tests and new therapies to stay completely focused on the job and not miss a single day of work," she told OpenAI staff in a memo back in April, announcing her temporary departure. "It's now clear that I've pushed a little too far and I really need to try new interventions to stabilize my health." News of Simo's medical leave came amid a larger executive shakeup that saw Brad Lightcap, OpenAI's former COO, transition to a role overseeing special projects. OpenAI president and cofounder Greg Brockman took over OpenAI's product strategy. In the months since Simo stepped back from OpenAI, the company further reorganized its product teams, positioning Thibault Sottiaux as head of the company's core products, including ChatGPT.

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