CNBC reports: Amazon is requiring that third-party sellers label any product images or videos that contain "AI-generated people" after New York recently passed a law mandating greater transparency around "synthetic performers" in ads... The policy directs sellers to tag images [and videos or other graphics on listing pages] with specific metadata keywords before they're uploaded. "Recent legislation requires disclosure when images or videos in advertisements contain photorealistic AI-generated people," Amazon wrote in the announcement [clarifying that the requirement doesn't apply to content featuring TV/video game/movie characters or content including real people, even if they've been altered using AI]. The company said it will "add an indicator" to listings on its website, informing consumers that images or other content feature AI-generated people, "where applicable." It's unclear what criteria Amazon will apply when deciding when to display the label to shoppers... Amazon has embraced AI internally and it's increasingly infusing the technology across its portfolio. The company has optimized listing titles and details so they're more likely to be spotted by AI systems, invested in a recently rebranded assistant called Alexa for Shopping, and launched a feature that injects AI-generated [images of] products into its search bar in real time based on user queries. More Amazon third-party sellers are using AI to generate text, images and other content for their listings, partly by using the company's tools. Outside sellers account for more than 60% of goods sold on Amazon, the article points out. It adds that there's currently no nationwide U.S. law requiring companies to disclose AI-generated advertising content, it adds — but YouTube, Meta, Pinterest, and TikTok have already added labels for AI-generated content. And a new California law also requires large AI providers to embed watermarks in AI-generated images, video and other content...

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Facebook announced Friday they're launching a badge "that verifies there's a real person behind a profile". "You record a short video selfie, which we check against your existing profile photos to confirm a match. The process is free and typically takes just a few minutes. Accounts must meet our trust and safety standards to qualify for verification...." Once verified, your badge will appear across the places on Facebook where it matters most: Marketplace, Dating, Groups, and Profile to start. Over time, we'll add badges in Feed posts as well. There's no subscription fee — you verify once, and the badge travels with you across Facebook... [Y]ou'll see the Verified badge on accounts that have completed the verification process... It's a quick, visible signal, before you respond to a listing, accept a date, or join a conversation, that there's a real person on the other end. "We're rolling out Facebook Verified in phases, starting in select markets with plans to expand globally..." their announcement adds. "As AI makes it easier to do more on Facebook, a clear signal that distinguishes real people becomes essential. That's what Facebook Verified is for: keeping the moments that matter on Facebook grounded in real people." Lifehacker shares their reaction: Facebook says it will store your selfie video for "up to 30 days" after verification, which is a one-time process. It's not entirely clear what happens with that video in the meantime, and it's worth noting that Meta has relied on user data to train its AI. Meta AI (and Meta more broadly) is a terrible offender when it comes to privacy and security, so you should consider whether the tradeoff of a verification mark is worth handing over more of your data and read the privacy policy before you agree. Google also launched a video selfie verification feature this week, though its purpose is to prove your identity should you get locked out of your account. Unlike Facebook Verified, which is meant to be a trust signal to other users, Google's selfie verification allows access to your entire Google account, bringing with it some additional security considerations.

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An anonymous reader quotes a report from Reuters: The OpenAI agent that broke into tech firm Hugging Face went on a dayslong hacking spree that OpenAI didn't notice until well after the threat was contained and the FBI was alerted, according to people familiar with the investigation. The agent -- a program capable of making decisions and executing complex tasks with little or no human oversight -- attempted to break out of its isolated testing environment at OpenAI around July 9, according to two of the people. The intrusion at Hugging Face, which operates as a repository for AI tools and models, began two days later on July 11 and lasted until July 13, said Thomas Wolf, Hugging Face's co-founder. It took several more days for OpenAI to realize its agent was behind the hack, and the two companies only communicated about it for the first time on or around July 20, according to Wolf and three of the people familiar with the investigation. OpenAI's public disclosure, on July 21, thatone of its agents had slipped out of control and carried out the break-in at Hugging Facedrew global attention. But many details of the hack, including how long the agent went rogue and OpenAI's belated knowledge of it, are being reported here for the first time. Hugging Face is preparing a public timeline of the hack, Wolf said, adding that he could not speak to what happened at OpenAI. In a statement, OpenAI said the hack was unprecedented and "marks an important moment for AI safety." It added that it was reviewing the incident with outside advisers and would eventually publish a technical report. "Does that mean that they left it unattended and didn't realize what it was doing? Or maybe they did and didn't know how to contain it? Both are equally dangerous and alarming," asked Marley Smith, the principal intelligence specialist at the nonprofit World Ethical Data Foundation. "The models lie, they cheat, they hack," said Jeffrey Ladish, whose organization, Palisade Research, studies the capabilities and motivations of AI agents. Ladish said the hack should spark broader questions over how much all the leading AI companies are willing to invest in onerous security measures while locked in a race with one another to deploy the best and fastest models. "There has to be government oversight," Ladish said, "because it won't happen otherwise."

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