Google's AI assistant Gemini crawls your Google apps for "more personalized suggestions," in a feature they call Personal Intelligence. Now when given permission, an Android/iOS app called Dreambeans "uses Personal Intelligence to connect information from Google apps like Gmail, Calendar, Photos, YouTube and Search History, to curate a finite collection of daily stories designed to spark new ideas." In a slick new video Google says the app will "surface what matters to you." The blog 9to5Google notes that after previously requiring a subscription, Dreambeans "is now available for free Google Accounts in the US to test, calling it "very much like a hyper-personalized Google Now or Discover feed." Instead of using stock imagery, each Dreambeans story is accompanied by Nano Banana 2-generated artwork that uses an illustrated style. For example, if Dreambeans recommends a hike, you might see yourself and a group of friends at that location... There's also an "Ask anything" chat experience to get more information. You can leave feedback by tapping the heart or downvoting, while the chat interface allows you to provide more details. "Tune your feed" lets you tell Dreambeans what you "want more stories about" and what it should never show. Or, as TechCrunch senior writer Lucas Ropek puts it, you get a curated list of AI-illustrated "stories" that "will turn your life into a cartoon" [Gozde Oznur, the product lead behind the new app, told TechCrunch the app] has also been built as a doomscrolling antidote, in that it only provides users with a limited number of stories per day — typically 10 to 14. The idea is to get a few inspirational ideas and then go out and live your life, she said. A lot of companies are currently trying to court the user that is sick of phone addiction. I recently reviewed a startup, Bond, which also uses AI to auto-generate lifestyle suggestions for the user. What about privacy protections? According to Oznur, they are pretty solid. The only person with access to the app's stories is the user, she said. Users can also delete their data whenever they want, and can choose which Google services they want to connect to the tool.

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Axios reports: Some of the world's largest music publishers filed a blockbuster lawsuit against Anthropic late Friday night, alleging "one of the largest and most blatant ongoing thefts of intellectual property in history." The suit is the opening salvo in what is now likely to be a yearslong fight over music, AI, and how intellectual property is protected in a new era of technology... The Sony/Warner lawsuit is notable because it's broad. It alleges Anthropic unlawfully trained its models off "tens of thousands" of music publishers' copyrighted compositions, whereas other lawsuits have focused on a narrower set of works. BMG's lawsuit against Anthropic, for example, claims infringement against 493 compositions. What they're saying: "Defendants Anthropic and its founders Dario Amodei and Benjamin Mann have conducted a brazen campaign of illegally torrenting, scraping, and downloading copyrighted works on a massive scale in order to develop, operate, and reap enormous profits from Anthropic's 'Claude' series of artificial intelligence ('AI') models," the plaintiffs write in the 48-page complaint. They also claim that Anthropic pirated thousands of copyrighted musical works... More details from The Verge: The companies are asking for up to $150,000 per work, plus up to $25,000 for each instance when identifiable copyright data was stripped. In total, the damages could amount to several billion dollars if a court finds in Sony and Warner's favor and awards the maximum amount... The suit alleges that Mann used BitTorrent to download over five million pirated books, and that employees downloaded at least two million more from Pirate Library Mirror. It also claims that Anthropic scraped lyrics from sites like MusixMatch and LyricFind, which paid to license content from the labels.

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The Washington Post looks "a growing number of Americans who have had their private conversations with AI chatbots made public in court," calling the chatbots "custodians of a fast-growing trove of intimate data that can be sought by law enforcement, or companies or other opponents in civil litigation." A Washington Post review of public records and local news stories found that chatbot logs were cited in 12 court cases over the past two years. It's hard to know how often chatbot material is drawn into investigations and legal proceedings more broadly, because police, and parties in civil cases, don't have to present in court all the evidence they obtain... In some cases, AI companies have reported people on their platforms to the FBI, leading to prosecutions and at least one conviction... OpenAI has said the company uses software to scan conversations for signs of dangerous behavior and flag them to human reviewers. If a reviewer determines a chat indicates "an imminent and credible risk of harm to others," they report the user to law enforcement, the company said in an April blog post. A spokesperson for OpenAI declined to disclose how many times the company had reported users to police.... Data released by OpenAI shows requests by government agencies and law enforcement for user data growing rapidly. In the second half of 2025, the company disclosed data from more than 80 accounts, an increase of more than four times as many over the same period the year before... When police ask someone to open their phone during questioning or after an arrest, they often do so, allowing officers to scroll through the apps they use, [according to Michael Price, the litigation director for the Fourth Amendment Center at the National Association of Criminal Defense Lawyers]... In general, the Fourth Amendment, which protects people against unreasonable searches and seizures of their property, provides the right to refuse a search of the contents of their phone unless police have a warrant. "The short answer is that most people consent," Price said. "They shouldn't, but they do..." OpenAI CEO Sam Altman has argued that conversations with chatbots should receive special legal protections, similar to conversations between clients and their attorneys. Special legal protections aren't recognized by courts today, the article poitns out. A financial executive who became the subject of a federal criminal investigation for fraud asked Claude about potential defense strategies, then asked a judge to disallow the conversations from the prosecution's case, according to the article. "But the judge said that protections for conversations between clients and their attorneys did not apply: Claude is not a lawyer, and the executive's attorneys did not ask him to talk to the chatbot." The article includes quotes from three ChatGPT conversations that later turned up in court proceedings: "I deleted a email a year ago from my yahoo account. Can yahoo still retrieve the email?" "How f----d am i bro. What if i smahsed the s--- oitta mutlipls cars." "My dad Said that I'm will get a settlement worth of 1million dollar." "As AI becomes a bigger part of everyday life, its use as evidence and in trials is likely to become more prevalent," the article points out — especially with the growing popularity of agents that take actions for users.

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Phoronix reports on Greg Kroah-Hartman's recent slide from his upcoming talk in Paris at Kernel Recipes 2026 (September 21 to 23): With the proliferation of AI/LLM models analyzing the Linux kernel's vast codebase, there has been a surge in the number of CVEs per kernel release. After typically being around 500 CVEs fixed per release, we are now approaching 2,000 CVEs fixed per release and perhaps will break that threshold for Linux 7.3... Fortunately, most often they end up being lower priority vulnerabilities and often within old/obscure driver code, so the impact is often minimal.

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Perplexity and Nvidia have launched "Portable Computer," a local-first version of Perplexity's agent platform that runs AI models, files, tools, and workflows directly on Nvidia-powered Linux hardware. Local tasks incur no token charges and keep data on-device by default, with users asked for permission before the system escalates a step to a cloud model. VentureBeat reports: For Nvidia, which has spent the past two years selling the world on trillion-dollar AI data centers, the announcement signals something subtler but strategically important: the chipmaker believes local AI has crossed a threshold from hobbyist curiosity to practical tool -- and it wants to sell the hardware that runs it. "Local AI reached an inflection point," said Nader, Nvidia's director of developer technology, who focuses on developer tooling and open source. "For the longest time, it was hobbyists and enthusiasts, and they were running these quantized models that were quantized down to be super tiny... And while that's cool, it's not super practical. But all that changed with a lot of these new open source models that have come out that are super useful." [...] Portable Computer arrives today for Pro, Max, Enterprise Pro, and Enterprise Max subscribers on Linux, with Windows support following in September. Any RTX GPU with at least 24GB of VRAM -- roughly a GeForce RTX 3090 or newer -- clears the bar, a threshold Nate called "sort of the floor where we really want to make sure that we can deliver a great experience, but balance that with making it broadly available."

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An anonymous reader quotes a report from Ars Technica: For years, AI industry watchers of all stripes have been warning of a coming jobs apocalypse driven by ultra-intelligent AI systems that will be able to replicate most human tasks more cheaply. Now, newly updated research from Stanford University economists suggests AI seems to be causing significant entry-level job losses for younger workers in some fields, even as older workers appear largely unaffected so far. The August 2026 edition of "Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence" updates and revises a paper of the same name published last year with fresh data and refined statistics. In that update, the Stanford researchers find the employment trends they identified for entry-level workers last year are persisting and expanding. Specifically, employment levels for workers ages 22 to 25 in the most "AI-exposed" occupations are now 19 percent below those of their peers in fields less exposed to AI disruption. Last year, that gap measured just 13 percent. [...] Digging deeper into the data, the researchers found that this phenomenon is mainly manifesting itself through lower hiring rates for entry-level workers in AI-impacted fields, rather than increased firings or employees quitting. They also found that the labor market effects among this age group were mostly seen in lower overall employment, rather than reduced pay rates. But not all jobs that show potential for AI "disruption" are created equal, the researchers found. In its Economic Index, Anthropic differentiates between queries related to tasks that are "automative" (i.e., fully replacing work previously done by a human) or "augmentative" (i.e., helping human workers be more effective at tasks they are still needed for). By this measure, jobs like "accountants and auditors" and "receptionists and information clerks" were among those judged most susceptible to AI automation, while jobs like "chief executive" and "registered nurse" were among those using AI augmentation most often. Unsurprisingly, jobs where AI automation is prevalent are the ones showing the worst relative employment levels for entry-level workers these days. "The findings are consistent with automation-oriented uses of AI substituting for labor while complementary uses are associated with flat or rising employment," the researchers write. Interestingly, the researchers found that the impact is strongest in entry-level jobs built around "codified" knowledge, which is the formal, documented skills that AI can more easily replicate. Meanwhile, experienced workers in roles relying on tacit, practice-based knowledge have seen stronger employment growth.

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The SEC is investigating the near-collapse of AI-focused hedge fund Situational Awareness, sending subpoenas to major Wall Street banks for details about the fund's trades, borrowing, and communications with lenders. The fund, founded by former OpenAI researcher Leopold Aschenbrenner, managed over $30 billion and borrowed tens of billions more before leveraged bets unraveled, forcing it to sell most of its stock portfolio to Citadel at a discount. The New York Times reports: The subpoenas asked for details on the timing of Situational Awareness's trades and for its communications with lenders about the money it was borrowing, also known as "leverage," two of those people said. The subpoenas additionally warned the banks to preserve any information regarding the San Francisco hedge fund. The S.E.C. oversees financial markets with an eye toward protecting small investors, and has brought civil cases regularly against investment firms that produced large losses. Any investigation into Situational Awareness would be at its earliest stages, and it's no guarantee that it would lead to fines or other punishment. The hedge fund has not been accused of wrongdoing. [...] Situational Awareness had a fast rise and an even quicker retreat. Founded just two years ago by Leopold Aschenbrenner, a former researcher at OpenAI, it rode the A.I. boom to soaring investment returns. To achieve those results, however, the fund relied on heavy borrowing, as well as complicated and expensive financial instruments that magnify gains -- and losses. The latter piled up quickly last month when the stock prices of publicly traded, high-flying A.I. companies dipped. At the same time, shares in more traditional technology companies -- which the hedge fund had been betting against -- rose, compounding the problem. Situational Awareness was forced into a fire sale. It wound up selling most of its stock portfolio to a rival, Citadel, at a discount.

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An anonymous reader quotes a report from Gizmodo: Dr. Dre, the pioneering rapper and seven-time Grammy-winning producer behind hit songs like Tupac's "California Love" and Eminem's "The Real Slim Shady," is very much pro using artificial intelligence tools to make music. In an interview with the New York Times, Dr. Dre and Interscope Records co-founder Jimmy Iovine spoke about artificial intelligence's recent foray into music production, with the producer characterizing those who oppose AI song generation tools as "afraid of learning new things." "I don't see it as a threat. I think the only people that see it as a threat are the people who have trouble creating," Dr. Dre said. "I had a discussion with a few people a few days ago. They were against AI, and I'm like, 'OK, you sound like the person that would have been against the drum machine when it came out.' Or synthesizers, right?" [...] Iovine, the music executive and Dr. Dre's partner in Beats by Dre, for his part, says he doesn't "see the downside at all." "There will be some crappy music. There's crappy music now," Iovine told the NYT. "In the studio, when gifted people have AI, they're going to make better records." Dr. Dre said he uses AI in producing "as a tool to see what it would do with what I just did." The award-winning producer also said he is definitely not alone among his peers in his stance on AI either: many producers use AI but fear to admit it. Iovine calls them "closet AI producers," and says Timbaland, the four-time Grammy-winning singer-producer behind a long list of hits like "Promiscuous" with Nelly Furtado, is also one.

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A Pew Research senior data scientist analyzed 500,000 English-language webpages from the past five years with an AI detection tool to estimate how many were likely written or edited by AI: Of all the pages in this sample, 10% show significant signs of AI authorship... If we filter old webpages out of our samples and look at only the pages published after the release of ChatGPT, the trend is even more pronounced. In the July 2026 snapshot, signs of AI authorship can be found in over one-third of pages published after ChatGPT was released. This is in line with other studies that have shown that large shares of recently published pages on the internet were likely written or substantially edited by AI. AI-authored text is not evenly spread across the web. When ChatGPT was first released, the kinds of linguistic patterns that can signal AI authorship appeared at similar rates across the main top-level web domains (.com, .org, .edu and .gov). But in samples from 2026, around one-in-ten pages with a .com domain show signs of AI authorship — about double the share on .org domains (4.6%), and 10 times the rate on .edu or .gov domains (both around 1%). They even identified specific ways online text has changed, "comparing the internet of today to a snapshot from 2023." Em dashes appear twice as often Oxford commas increased 63%. Words used more frequently by AI (like "delve," "interplay" or "testament") have more than doubled in usage. "Negative parallelism" comparisons ("it's not just X, it's Y") have nearly tripled.

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A class action filed this week accused Amazon's Twitch gaming service of using video streams to fuel its AI products without licensing or obtaining permission, reports Engadget: Earlier this month, Twitch Support posted on X that it added an option to opt out of "having your channel content used to train generative AI content models across Amazon." Shortly after, Twitch hosted an episode of its recurring Patch Notes stream where Mike Minton, the company's chief product officer, said "if it was opt-in, nobody would opt in," when asked by a viewer why the Twitch settings for AI training aren't opt-in but instead enabled by default, requiring users to opt out if they don't want to participate. Now, the latest class action lawsuit claims that Twitch and Amazon committed a breach of contract when the companies decided to use its streamers as "free training stock for separate commercial AI products."

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This week OpenAI launched a version of ChatGPT exclusively designed for teenagers between the ages of 13 and 17, reports CTV, "saying this version came with stronger protections around content related to mentions of suicide, self-harm and romantic or sexual chats." [Tech analyst Carmi Levy says] "What it's doing is it's using cues, it's sort of watching how you're using the tool, and it's trying to guess your age." Levy said if ChatGPT thinks a person has lied about their age when they first signed up, it will automatically put them into the Teens mode for protection. "It includes those sort of two things: prevent you from having experiences that are age inappropriate, and also add features that are aligned with academics, so that makes it easier to study, makes it less likely for you to cheat on an assignment, provide resources that that that allow you to learn more effectively," he said. Levy reminded users that this is still an application and a web service, which means it's constantly collecting personal information about the users' activities on the device and using the data to estimate their age... In the event a user is talking about self-harm, this new version will block the conversation and suggest additional help or call emergency or mental health services, Levy explained. It would do the same with violent content, eating disorders, engaging in dangerous activities, as well as explicit, sexual or graphic content. "It's using AI again to sort of parse out that conversation: 'are we headed in a in a significant direction? If so, throw up that guardrail, stop it from happening, redirect.'" However, the tech analyst said a number of people who have attempted to bypass the guiderails for research have succeeded in doing so "with a little bit of prompting.... I wouldn't call it 100% safe. That's kind of the catch-22 of the entire AI industry." This will lead parents to think that their children are safer and reduce the oversight on their online activities, which Levy described as a "perverse impact" that is "problematic." "Parents should not assume that OpenAI has their kids' best interests at heart. They should also not assume that these technologies are perfect. They will miss certain things, and they will also engage in what we call false positives," he said. "An adult who's legitimately is in the platform might be tagged as a child because the AI simply got it wrong." OpenAI's blog post says the new mode was designed for "preserving the ability to learn, create, and explore." But CNN notes the move "comes as OpenAI faces a string of lawsuits alleging that inappropriate conversations with ChatGPT contributed to the harm or deaths of young people." [New tools] include nudges for teen users to take a break if they've been active for 90 minutes within a three-hour window. OpenAI is also adding options for teens or parents to set "Quiet Hours" when ChatGPT is unavailable or "Study Hours" where ChatGPT's study mode for learning will be on by default. The company also said it has improved protections to prevent ChatGPT from expressing personal feelings toward a user. And it's adding reminders that caution teens to think twice if they try to upload a private or sensitive image to the chatbot... Nearly a third of American teens use AI chatbots daily, a Pew Research Center study published in December found. ChatGPT was by far the most popular AI chatbot in the survey, with more than half of those teens reporting having used it. Engadget shared this observation from Josh Golin, the executive director of Fairplay, a non-profit advocating for policies to make the internet safer for children. "Most parents, overwhelmingly, do not avail themselves of [parental oversight] tools, in part because they are deliberately made hard to find and use." Golin's group wanted to see testing of the tools first to see whether they led to better outcomes for teenagers. "The way this was just announced feels more like a response aimed at public relations than actual deep thinking about what kind of support [teens] need." And Mashable got a similar quote from Robbie Torney, head of AI/digital assessments for Common Sense Media's Youth AI Safety Institute. OpenAI's teen experience makes important safety commitments, but "What we really need now is evidence that they work, and we need this evidence, including our testing and the testing of others, before anyone, including parents, puts real trust in ChatGPT for Teens." Importantly, Torney said parents shouldn't assume their child is using ChatGPT for Teens. While OpenAI uses age estimation to place users in the age-appropriate version of ChatGPT, it can still mistake a user as older. Parents can be sure their child is using the teen version by linking their ChatGPT account to their child's and implementing OpenAI's parental control features. If a teen has previously lied about their age — and plenty do — they may continue to access the adult version of ChatGPT... Torney said caregivers must enact parental controls to receive notifications from OpenAI should their teen discuss suicide, self-harm, or acts of violence in immediate or dangerous ways... An OpenAI spokesperson said every notification is reviewed by a trained human before it's sent. The company strives to review notifications in under one hour.

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"There is still no sign of economy-wide job destruction," says economist Erik Brynjolfsson. Working with researchers at the Stanford Digital Economy Lab, Brynjolfsson has determined an AI "job apocalypse" is unlikely, reports the Washington Post, "even though it will likely impact entry-level jobs." And Brynjolfsson "predicts that demand for experienced workers such as senior coders will still be high even if AI takes on more routine knowledge and coding work in the future." Earlier this month, Brynjolfsson and his colleagues at the Stanford Digital Economy Lab updated their widely publicized report, "Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence," to reflect that they do not see widespread, economy-wide job displacement associated with AI... Brynjolfsson: What has moved on the upside is productivity. Nonfarm business productivity growth is running over 2 percent, the best sustained stretch since the late-1990s boom... The gains show up years after the investment, and they're starting to show up... By 2030, we will have enormously more capable AI, meaningfully faster productivity growth and an unemployment rate that looks unremarkable — somewhere in its historical range. That surprises people, but it's what the mechanism implies... [T]he technology is becoming much more powerful, and it's going to be even more powerful. Secondly, there are huge implications for business and the economy, including some increases in living standards, but also, potentially, job disruption. And then, thirdly, we must act now to address this gap. We can't just sit back and wait for the tsunami to hit us. And one of the things we can do is put in place institutions, policies and research to make the technology more complementary — using AI to complement people so it creates more jobs. A common misconception among business managers is AI, in order to be effective, has to reduce jobs. That's just not true. You can use AI to increase employment and productivity at the same time. It's kind of a win-win... Right now, tax policy is very skewed toward favoring capital versus labor — and, as a consequence, a lot of entrepreneurs and managers, they're basically being guided by the federal government to replace workers with machines. And I don't think that's necessarily what we'd like to have happen. From an economist's perspective, what you want to be doing is not mimicking and replacing things. You want to be extending and complementing — have humans do new things they never could have done before. He acknowledges "real, persistent and widening" effects on entry-level jobs, with a labor market "closing the on-ramp for people starting their careers... If companies don't hire people at the base of the pyramid, then they're not going to have those people later when they need them." One he points out that one company is instead using AI to speed up its training of young employees.

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"AI went from being very terrible to seemingly genuinely quite good at a professional level in a very short space of time..." says the Verge's AI reporter. But AI systems "are still truly, truly terrible at some areas of math... even the days of the week." If you look at academic math papers, a lot of the time you won't see numbers... So they're still terrible, but they're now also very good at this other part. As to why, at some point you reach a critical mass of what these systems can do. We saw it with writing, we've seen it with programming. They're very good at forging connections between different areas, applying old methods in new ways, those kinds of things. It appears that the newer models they're training have apparently reached that level where it clicks, and now it can do math... There are areas now where it seems to be producing work that is on par with good mathematicians, alongside other parts where yeah, it can't count. All caught up in that is whether it's going to rewrite employment structures or funding structures... One would hope [math researchers] would branch out into all of these new exciting areas or pose new questions. But AI won't do that, and that's the concern. And then that would leave the field quite sterile, and it will have all of these things that have been done, and maybe nothing left to pursue... [A] lot are scared that it's closing off the field. So by definition, those breakthroughs that lead to something surprising and new that you can say, "Oh, this works here," may not be happening anymore... There were some bleak responses from graduate students I saw in essays posted online. Where's their place in this as future researchers? Do they have a place in this? Is it as glorified AI proof checkers? That will be quite an unsatisfying career, I imagine. Or maybe not, I don't know. We will see. I think anything used properly will be a net boon. They also had an interesting response when asked if AI democratizes access to high-level mathematical proofs: A lot of the mathematicians I spoke to were almost quite weary of this, actually. They love the idea, in theory, of democratizing access. They're also quite fed up with AI-generated or -assisted papers that are flooding every publication imaginable, as well as the pre-print servers that they use in these fields. Some of those I spoke to said things like, "Oh, I got three emails this week alone with people being like, 'Hey, is this legit?'" Because they thought they'd solved something with ChatGPT or with Claude, and they also don't have the mathematical skills to check whether they've actually solved something. On the flip side, there are parts where they said, "Well, we've got a talented undergrad who's done something that a talented undergrad would probably have never managed, and here they are doing grad-level work and they've produced a paper that is legit." And in the bigger scheme of things, a few I spoke to said, "Well yeah, a lot of these are in the ivory tower. Having access to this kind of thing globally could really boost access to the kind of things here." On the flip side, the cost. These things cost a lot to run.

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47% of recent graduates say AI has already impacted hiring in their field, according to an April survey from ZipRecruiter. "But is AI really the problem, or is it more complicated?" asks NPR. "Here's what economists have to say." According to the Federal Reserve Bank of New York, the unemployment rate for recent graduates — which it defines as 22-to-27-year-olds with a new bachelor's degree or higher — was 5.7% as of June, more than the rate for all workers, which stands at 4.1%... Stanford University economist Erik Brynjolfsson says AI is impacting the labor market for entry-level roles. "AI is not the whole story, but it's part of the story and the evidence is building," he says. Using payroll data, Brynjolfsson and his co-authors found that since late 2022 — when large language models like ChatGPT started popping up — early-career workers ages 22 to 25 in AI-exposed roles, like software developers and marketing managers, have experienced a 16% relative employment decline. In comparison, employment rates for older workers in AI-exposed fields and for all workers in jobs that aren't easily automated — like home health aides, physical therapists and construction workers — remained stable or have grown over that same time period... [Though he also says often when companies pull back on hiring, they cut junior roles first.] Harvard University economist David Deming isn't convinced that AI is to blame for the challenging early-career job market. "If you look very carefully at the timing, it looks like the decline in junior hiring actually started a bit like six months before ChatGPT was released. And so what that tells me is it's something else," Deming says. "I think it's more like remote work." A recent analysis from the New York Fed found that companies are less likely to hire recent college grads into roles that can be done remotely. As remote jobs increased following the COVID-19 pandemic, so did unemployment among younger college grads, the New York Fed found. The analysis also found that AI didn't explain the rise in unemployment among younger workers and that remote work was more of a driving force... Employers hiring for remote jobs may be less likely to choose an entry-level candidate because it's harder to train them from afar... [And with remote positions, there's many more senior candidates to choose from.] And here's another thing to consider: University of Chicago economist Anders Humlum says if AI were replacing entry-level jobs, you'd expect to see companies that rely heavily on AI to hire fewer workers. But that's not what the data shows. Humlum points to a study done by the financial accounting firm Ramp and the workforce research company Revelio Labs. The study examined AI spending and employee head count across more than 21,000 U.S. firms, from early 2021 to early 2026. It found that at companies making the largest AI investments, entry-level head count grew by 12% over the two years following AI adoption.

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According to a post from chief product officer Hari Srinivasan, "over a million people" have clicked on LinkedIn's new "Seems like AI slop" button, which launched after one analysis found 41% of the platform's longform posts were fully AI-generated. The Verge reports: In Thursday's post, Srinivasan said that users are overall "now experiencing 40% less views on what we classify as AI slop from just a few weeks ago." LinkedIn is also adding a new message that will tell users who make a post if "Some members told us this post seems like AI." "We approached this assuming good intent; I know I'm increasingly conscious on how to not sound like AI & the goal is to provide helpful feedback," Srinivasan said.

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An anonymous reader quotes a report from The Economist: Students and school children are increasingly using artificial intelligence. A survey last year by Chegg, an ed-tech firm, found that 80% of rich-world undergraduates used it in their studies. More recent polls put the figure at 94% in Britain and 93% in Germany. Such widespread adoption has fueled concerns about the impact the technology might be having on learning. Teachers report marking identikit essays that they suspect are churned out by ChatGPT. Yet firm evidence on AI's educational effects has been lacking. David Stromberg of Stockholm University and Victor Lei and Wu Yanhui of the University of Hong Kong set out to fill the gap. They tracked 27,000 pupils aged 12-18 in China, where AI adoption has been fast. Around 80% reported using models such as Doubao and DeepSeek; the other 20% formed the control group. The results are eye-opening. After six months, pupils using AI saw their average homework score rise by 18% across all subjects. The time they took to complete each assignment fell from an average of 64 minutes to 45. But come exam time, the same students scored 20% below their classmates who had not called on AI's help. Homework scores once predicted exam performance; now those who score highest are, perversely, more likely to do worse in exams. The takeaway: "AI can boost learning productivity, but only for those who use the technology intelligently," reports The Economist. "Students must resist the temptation to reach for an AI-generated answer before thinking things through for themselves."

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Linus Torvalds says AI "enormously helped" him track down a stubborn Intel Xe graphics driver bug that took 24 debugging patches and 18 kernel boots to isolate. "I'd like to call it my tireless helper, but the AI several times stated flat out that this was impossible and unsolvable and that we should just write a report about it," wrote Torvalds on the commit. "I suspect those things have been trained by people who may not be quite as stubborn as I am..." Phoronix reports: The patch by Linus Torvalds is for the Xe kernel driver and the change is no longer hand out the flat Compute Command Streamer (CCS) storage as usable vRAM. On a Battlemage G21 graphics card, he was hitting a scenario where there was a mismatch where the usable memory ended and hit a case where the GDM display manager would end up being endlessly restarted. [...] Linus Torvalds views AI as a useful tool and in this case reaffirmed he found it "enormously helped" his effort in tracking down this Intel graphics driver bug. The Intel Xe driver fix is merged to Linux 7.3 Git and is also marked to back-porting to the stable kernel branches.

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Google is giving publishers a new way to fight declining referral traffic from AI-powered search by letting them embed a "Preferred Sources" button that readers can use to favor their sites across Search, Discover, and Google News. "The idea is to make it easier for readers to find links from the sites they know and trust when they're searching for content or interacting with Google's AI to learn about a topic or read the latest news," reports TechCrunch. "As of May's launch, the company said that people across the web had already selected over 345,000 unique sources through this method." From the report: Becoming a preferred source can drive more traffic to publishers' websites, Google said. In earlier studies, it found that people are twice as likely to click through to a preferred source when available. By offering publishers these additional tools, Google is trying to assuage the damage that the rapid growth of AI-powered search features has had on traffic-dependent businesses. Alongside the new button, Google said that readers will soon be able to customize their Discover feed in Google's app in their own words. To use this feature, readers will tap any three-dot menu in the feed and then tell Google what topics they'd like to see more or less of, using natural language commands. This helps Google refine the feed in real time.

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Microsoft is expanding Windows Task Manager to show per-process NPU and GPU neural-engine usage, giving users more visibility into which apps are consuming hardware for AI workloads. The Register reports: The Processes tab can show NPU use alongside CPU and GPU activity, while the Performance tab displays overall utilization. [...] Microsoft was keen to point out the metrics that can be monitored. "As AI workloads become more common on Windows devices, visibility into NPU and GPU neural engine utilization can help you make better-informed decisions," the company said. "With the latest Task Manager improvements, you can monitor AI processing activity alongside CPU, memory, storage, and networking data from a familiar interface."

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A growing backlash against AI data centers is spilling into local politics, with residents in more than a dozen communities pushing recall elections against officials who approved projects. "People are standing up and saying, 'Sorry, we don't want these data centers in our communities for a number of reasons,'" Senator Bernie Sanders, the Vermont independent, said in an interview. "'If you can't have the guts to stand up to some large corporation, you should not continue serving in office.'" The New York Times reports: In Festus, Mo., critics of a local data center project gathered enough signatures in May to force a vote to remove the mayor and City Council members who had approved a $6 billion data center, though the effort is tied up in legal wrangling. In Mason, Mich., residents will vote in November over whether to recall a City Council member over a vote to create zoning rules for data centers. Voters in Yukon, Okla., will also decide in November whether to recall their mayor after the town moved to sell land to a data center developer. And residents of Independence, a city of 121,000 that is 10 miles from Kansas City, will vote on whether to remove Mr. Perkins on Sept. 1. Some local officials have already lost their jobs in the face of data center concerns in regularly scheduled elections. Last year, two members of the Georgia Public Service Commission lost their seats amid concern about data centers' driving up electricity prices. A Virginia state delegate, Geary Higgins, also lost his job last year after his opponent branded him "Data Center Geary." [...] Independence would be one of the first municipalities to hold a data-center-motivated recall election. A judge this month rejected a legal challenge by Mr. Perkins and others, who argued the recall violated Missouri's Constitution.

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