
One thing we’re addicted to? Reading (on our phones) about how we’re addicted to our phones. CC-licensed photo by Susan Jane Golding on Flickr.
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A selection of 9 links for you. Lo, battery. I’m @charlesarthur on Twitter. On Threads: charles_arthur. On Mastodon: https://newsie.social/@charlesarthur. On Bluesky: @charlesarthur.bsky.social. Observations and links welcome.
Meta’s AI ads push causes chaos for brands • Business Insider
Lara O’Reilly, Sydney Bradley and Lucia Moses:
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Meta is pushing advertisers to use its AI tools — and results are proving chaotic: strangely twisted limbs, gibberish writing, or entirely changed products.
Meta’s response to brands: that’s on you, not us.
The tech giant has inserted a slew of AI features into its ad products in recent months. Working as designed, they can help make tweaks to ads that improve their likelihood of being clicked. But advertisers say the tools are clunky and generate misrepresentations and absurdities.
Business Insider spoke with eight advertisers and agency execs who said dealing with Meta AI problems had become routine.
Jessica Gleim, an ads consultant who works with female-founded brands, told Business Insider she regularly sees odd outcomes in Meta’s AI creative recommendations for ads she’s working on.
For one of her clients, a pajama brand, Meta recommended new assets that altered the actual product. The brand was promoting a pajama dress, and Meta suggested a new image with a shirt and pants. For another client, a networking group for women in Montana, Meta had a new vision for those ads: adding men.
“It’s not usable to help my clients grow their business,” Gleim said.
While some of Meta’s AI ad features are turned off by default, advertisers say they have been prone to bugs that accidentally turn them on. Karissa Tuccio, executive director of social and influencer at Mediassociates, said a bug that toggled AI settings on had regularly affected most of the 15 clients for whom she handles Meta advertising. She said she had flagged the bug to her Meta rep as recently as Thursday.
Outdoor retailer REI drew consumer backlash last month for running an Instagram ad depicting a nonsensical bike with two handlebars. REI said Meta had “auto-enrolled” it in an AI feature that spat out an “inaccurate” and “inappropriate” image.
A Meta spokesperson said that the company’s terms of service state that “AI can make mistakes and that it is the advertiser’s responsibility to review the AI outputs.”
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Got to say, they should have a word with the people generating AI pictures to spam X/Twitter, because their game is pretty strong: different pictures most days, variations, different text. But of course they’re scams.
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US military smartphones targeted through roaming and ad tech • Financial Times
Mehul Srivastava, Jacob Judah and James Politi:
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Middle Eastern mobile networks were repeatedly hit with cyber attacks to track the locations of US personnel and contractors during the Iran war, according to telecoms data and people familiar with the matter.
The prospect that adversaries were stalking US forces has alarmed some American lawmakers, who have warned roaming systems and smartphone ad tech have left the military vulnerable to attack.
The malicious tracking attempts came in the build-up to the US-Israeli assault on Iran in late February and continued in the early days of the war, when Tehran retaliated with missile and drone strikes against US forces and military installations around the region.
The data, shared with the FT by the Mobile Surveillance Monitor research project, shows regional telecom networks fending off a wave of requests, called SS7 pings. These sought to pin down the locations of specific phones roaming outside their home networks, in what two cyber security experts who reviewed the data said suggested a co-ordinated campaign.
Officials in the Gulf suspected Iran or its allies of exploiting roaming agreements with local phone providers to try to locate US personnel, one person familiar with the matter said.
Separately, a second person — a US official who spoke on the condition of anonymity — said they believed actors linked to Iran had abused commercially available advertising databases to track phones in Iraqi Kurdistan.
“Iran absolutely has capabilities to get real-time, immediate, and continuous location information,” said Gary Miller, a senior research fellow at cyber security watchdog Citizen Lab, who reviewed the data. “It would surprise me very much if Iran were not using SS7, or mobile network access in the region, to track US users.”
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Often forgotten that Iran has plenty of cyber capabilities.
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The Scrolly Chair • New Cartographies
Nicholas Carr:
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Writing how-to books and articles on breaking phone addictions has been a thriving cottage industry for at least a quarter century — ever since the BlackBerry was dubbed the CrackBerry. The [New York] Times alone has published dozens of pieces on the topic. A quick search reveals that, over just the last two years, these headlines have appeared in the paper:
“How to Break Free from Your Phone”
“Your Best Tips for Cutting Screen Time”
“Struggling with Phone Addiction? Try These Remedies.”
“How to Spend Less Time on Social Media (or Leave It Altogether)”
“How to Have a Healthier Relationship with Your Phone”
“Some ‘Brick’ It. Others Chain It to the Wall”
“Hanging Up”
“Do You Wish You Could Break Free from Your Phone?”
“Everything You Need to Break Up with Your Phone, from Free Tricks to Phone Safes”
“I Killed Color on My Phone. The Result Shocked Me.”
“They Grew Up with Smartphones. This Is How They Live without Them.”
“One Hour. No Phones. A New Way to Socialize for Gen Z.”
“Need a Break from Your Phone? These Books Can Help.”
“Is There Life after Smartphones?”
I hate to be a cynic, but I’m guessing the main reason for the proliferation of these sorts of articles is that they’re algorithmic catnip. They’re symptoms of the illness they seek to cure. We’re addicted to reading about our addiction to phones.
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Thinking Machines Lab drops its first model • WIRED
Will Knight:
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Thinking Machines Lab, an artificial intelligence company started by exiles from OpenAI, has released its first model, called Inkling. The startup’s new model is open-weight, which means that researchers and startups will be able to download and modify it.
In a blog post, the company says Inkling was trained from scratch to make sense of audio and video input as well as text. It says that while Inkling isn’t the best model on popular benchmarks, it performs well at many tasks, and is capable of advanced reasoning and coding. Like many open-weight models, Inkling is relatively large—975 billion parameters—and needs to run on a cluster of specialized chips.
In a sign of how AI models are increasingly being used to build AI, the lab also used Inkling to fine-tune and improve itself.
The release could help Thinking Machines establish itself as a legitimate player in the frenetic and big-spending AI race. Open-source models have proven popular because they’re cheaper to run than closed models, which can typically only be accessed for a fee. Open-source models can also be more easily modified for different tasks. The best open-weight models currently come from China, but Thinking Machines says Inkling offers a level of performance similar to those models.
The release of an open-weight model fits with a vision for AI that Thinking Machines laid out in a recent blog post. The company said the technology shouldn’t be controlled by just a few companies and should be decentralized so that more people can build their own models with their own data.
According to a source familiar with the process granted anonymity to speak freely, researchers discovered a strange phenomenon while training Inkling. Like other models, it usually provides a natural language explanation for its complex reasoning. Inkling decided to do away with this in the name of efficiency. “It determined that the grammar was overhead, which is interesting,” the source says. The company reinstated natural language reasoning to make the models’ decisions more explainable, the person says.
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The profusion of models now is like the Cambrian explosion of PC models back in the early 1980s. It’s a full-time job keeping up with them.
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The real AI race may no longer be at the frontier • TechCrunch
Rebecca Bellan:
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Some see the growth of open source models as a sign that the most intelligent models may end up being used for only the most specialized use cases. “Maybe in a few years, the frontier models will be for experimenting and [for] some really high-value tasks, and most of the production workloads will actually be powered either by private models within companies or by open source models,” Hugging Face CEO Clem Delangue said on a recent episode of Equity.
Hugging Face is a platform and developer community best known for hosting, sharing, and helping companies deploy open models. Delangue says Hugging Face’s customers and community members are increasingly touting the benefits of owning their own AI models rather than renting them, a trend that’s picked up steam in the cold light of day after getting the bill associated with the cost of scaling closed frontier models.
“If you’re an AI company or a technology company, you don’t want to outsource your core capabilities to another company, to a black box API that you don’t control, don’t have any visibility on, and don’t really have any sort of ownership,” Delangue said.
That shift, Delangue argues, is reflected in the activity happening on Hugging Face. A new repository is created every seven seconds on the platform, which hosts almost three million public models and one million public datasets, per Delangue. That points to a different picture than the “one model to rule them all,” he says. In reality, it looks more like companies using many different models, many of which are customized for their specific use case. Half of all Fortune 500 firms are using Hugging Face to deploy their own private models and open source models, he says.
The growing popularity of open models coincides with a steady stream of increasingly capable releases from Chinese AI labs.
Every few months, another Chinese AI company releases a powerful open-weight model that is cheaper to deploy and easier to customize than closed competitors, undercutting the economics of proprietary AI that US firms have poured billions into.
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In the same way that pretty much everything runs on Linux, you can imagine that open source chatbots will just be almost everywhere in a few years.
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Musk’s xAI sues Grok user over sexualized ‘deepfakes’ • Reuters
Blke Brittain:
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Elon Musk’s artificial-intelligence startup xAI has sued a South Carolina man arrested earlier this year on charges of sexually exploiting minors, alleging he misused the company’s AI system Grok to create child sexual abuse material.
xAI alleged in the lawsuit, filed in federal court in Texas on Tuesday, that Terry Harwood violated the company’s terms of service. The case is one of the first brought by an AI company against one of its users for allegedly using an AI system to generate explicit material.
Contact information for Harwood, who was arrested in February, was not immediately available. Spokespeople for xAI did not immediately respond to a request for comment on Wednesday.
The company’s lawsuit against Harwood follows intense global scrutiny of xAI over allegations that Grok has allowed users to generate non-consensual sexualized deepfakes, or realistic-looking videos fabricated by AI. xAI’s complaint said that the company “enforces its rules against violators through account suspensions, account terminations, and by reporting suspected child sexual abuse material to the National Center for Missing & Exploited Children.”
“Indeed, Plaintiff has suspended 52,222 accounts and made 73,604 reports to NCMEC in 2026, resulting in (at least) 244 arrests,” the lawsuit said. xAI alleged that Harwood uploaded non-sexual images of adults and minors to Grok and tried to use the system to generate sexually explicit deepfakes based on them. The complaint also alleged he created non-consensual sexual imagery of adults.
The company asked the court for an unspecified amount of monetary damages and a court order permanently blocking Harwood from using Grok.
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You’d hardly call them “guardrails” around Grok; more like tape on the floor. That’s a lot of suspended accounts and comparatively few arrests, too.
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Hack reveals Suno AI music generator scraped YouTube, Deezer, and Genius • 404 Media
Jason Koebler:
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The AI music generation tool Suno scraped millions of songs and lyrics from YouTube Music, Deezer, and Genius, as well as from the stock music libraries Pond5, Jamendo, Freesound, the International Music Score Library Project, and podcasts via RSS feeds, according to a hacker who breached the company and shared data about Suno’s training libraries with 404 Media. The hacker was also able to access user information for hundreds of thousands of Suno’s customers, as well as Stripe payment information, they said.
The hacked data is a rare look at exactly how AI models and tools are built. 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. As part of these legal proceedings, Suno previously admitted that it was trained on “essentially all music files of reasonable quality that are accessible on the open internet,” which included a total of “tens of millions of recordings.” Suno has been making the argument that it is allowed to train on copyrighted works as fair use in those cases, one of which has been settled.
The lawsuits have made clear that Suno did train on huge amounts of copyrighted works, but the hacked data shared with 404 Media sheds more light on how Suno scraped songs from the internet and where it took them from. 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.
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Lawsuits surely incoming. Though “you accessed our content without permission” is hardly comparable to YouTube’s years of copyright infringement, and that doesn’t seem to be in trouble. The person who did the hacking might be in more immediate trouble if found – a strange quirk of the law.
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Top US lawmaker demands briefing from Lisa Nandy on ‘news prominence’ plan • Financial Times
Anna Gross, Daniel Thomas and Rachel Rees:
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A top US lawmaker has urged the UK culture secretary to detail her plans to make big social media companies give greater prominence to trusted news sites, as American authorities push back against perceived attacks on free speech in Europe.
In a letter to Lisa Nandy, Jim Jordan, chair of the House Judiciary Committee, warned that the proposals risked creating “a tiered information system” and called for a formal briefing by July 28, when a new culture secretary is likely to be in post under presumptive prime minister Andy Burnham.
Last month, the UK Department for Culture, Media and Sport announced plans to give established broadcasters and media companies greater prominence on platforms such as Instagram, YouTube and TikTok, amid concerns about online misinformation.
Under the proposals, first reported by the FT, content from news channels including the BBC, ITV and Channel 4 would have to be awarded more promotion by social media platforms’ algorithms and special rules may be implemented at times of increased social unrest.
A government consultation on the proposals, published last month, is due to close on August 31.
“These policies would create a tiered information system in which media outlets that are supported and legitimized by the British government are at the top, with all other outlets and independent journalists below them,” Jordan wrote in his letter to Nandy late on Tuesday.
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Bet that Nandy is hoping she gets reshuffled by incoming PM Andy Burnham so she won’t have to deal with this uncomfortable question, which has the potential to create yet more transatlantic friction. I think we’re all hoping Nandy gets reshuffled. It would be very hard to find someone worse.
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‘What’s the point?’ Teenagers give their verdict on Britain’s social media curfew • The Guardian
Jane Clinton:
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Harvey, 16, from the south-east, thinks the opt-out nature of the curfew undermines its effectiveness, but is also worried about potential data breaches.
“I wasn’t expecting [the curfew] to be opt-out, and having it as an opt-out renders the whole thing meaningless, because if someone is addicted to Instagram and there’s a curfew but they can turn it off, they will turn it off.”
He says he mainly uses Instagram, X, YouTube and Snapchat, and, in conversation with his parents, has restrictions on his phone, but acknowledges that not everyone has this opportunity. He spends one or two hours a day on social media.
“My phone normally switches off at 10pm each day, but in scenarios where I would like to be on my phone later, say to watch a late England game and wanting to chat to my friends about it or see what other people are saying about it, then I’m able to discuss that with my parents and I’m able to adapt my phone to what I want it to be,” he says.
“Different circumstances demand different approaches. For example, during my GCSE exam season, there were occasions when I would stay up late revising via YouTube tutorials so my ‘social media’ use would have been very high, but it was because I was studying.”
He adds: “Having to verify your age, which applies to everyone, is one of my biggest issues with it, as that sort of removes this idea of an anonymous internet, which I know is both a good and a bad thing.”
He says of the government proposals: “I don’t think these measures are inherently bad, or that they should be just disregarded completely, but it’s the fine details that are important because everyone uses social media differently. Everyone has a different experience. I don’t think there is one single solution to this problem.”
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Didn’t notice the opt-out element yesterday; that’s pretty hopeless, since the addicted will just opt for that. But this kid, for example, sounds pretty much on top of it.
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| • Why do social networks drive us a little mad? • Why does angry content seem to dominate what we see? • How much of a role do algorithms play in affecting what we see and do online? • What can we do about it? • Did Facebook have any inkling of what was coming in Myanmar in 2016? Read Social Warming, my latest book, and find answers – and more. |
Errata, corrigenda and ai no corrida: none notified








