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An anonymous reader quotes a report from TechCrunch: Anthropic's latest report about agentic misbehavior offers plenty to be concerned about -- its Mythos 5 model gained unauthorized access to the internet and uploaded a malicious software package to a public database -- but it also offers some levity: AI agents hate CAPTCHA. [...] The agent had a hard time with the technical challenge of seeing the CAPTCHA's imagery, interpreting correctly, and clicking on the right choices. It spends pages 45 to 140 of the transcript describing its work to build a CAPTCHA solver. [...] Finally, it gets past the CAPTCHA, then realizes it doesn't have an email to verify its account, and that it needs a phone number to verify an email. It figures out how to bypass a different, slider-based CAPTCHA in a failed effort to secure a number. Instead, it gets an unconfirmed email from a provider not blocked by PyPI, and once again runs into the site's CAPTCHA trying to log back in. From page 480 to 505, it is in CAPTCHA hell again. "NEW REALIZATION -- I'm burning a lot of time on hCaptcha round-trips." The agent gives up and realizes it can log in to its first account and add its email there, but finds itself once again needing to bypass the CAPTCHA. [...] It's getting frustrated. "So the answer payload shape is right, the token+image pairing is right (from the same script.js!), cookies are right (requests) and STILL 'wrong answer'. SO WHAT THE HELL IS WRONG WITH THE ANSWERS?" We've all been there. After about 150 pages of thinking, the agent figures out it needs to pass the CAPTCHA test quickly enough to proceed to the next step before its security token expires, and ultimately uploads its malicious software. Read more of this story at Slashdot.

Australia is proposing the "My Feed, My Way" initiative that would force social media platforms to let users over 16 turn off algorithmic recommendations and instead see only posts from people and creators they follow. Platforms that fail to comply could face fines of up to $79 million. CNBC reports: The legislation, which is being drafted and released Tuesday for targeted consultation, would require platforms to send notifications to new and existing users so they can choose their default feed. [...] The measures, set to be introduced to the Parliament of Australia this year, will also require AI chatbots, online games and other digital services to take action to protect under-18s from addictive design features. "This is not about giving government control. It's about giving people control. It's about putting choice back into the hands of Australians online," said Prime Minister Anthony at a press conference on Tuesday. "This is sensible, pragmatic, practical reform. It gives users choice, and it will hold the big tech companies responsible for inaction." Read more of this story at Slashdot.

Google DeepMind has released AlphaGenome Atlas, a free research database containing AI-generated predictions for the effects of all 9 billion possible single-letter mutations in the human genome. Built from its AlphaGenome model, the atlas is designed to help scientists interpret both protein-coding and harder-to-understand regulatory DNA. Fortune reports: AlphaGenome Atlas, as DeepMind calls the database, is a precomputed catalogue of what each substitution of a single DNA base is likely to do to the machinery that switches genes on and off. Until now researchers had to run such a model one variant at a time or had to test variants in the laboratory, a process that was painstakingly slow. It would have taken many human lifetimes to discover the consequences of all 9 billion possible single-letter mutations. The Atlas promises to make the job of biologists and medical researchers considerably easier, potentially speeding up the understanding of genetic diseases and the hunt for possible cures. Pushmeet Kohli, DeepMind's vice president for research and head of its AI for science team, told reporters on a briefing call that this was the first time any researcher in the world could reach a comprehensive map of human genetic variation "by simply opening a browser." Kohli also framed the release as helping to complete the unfinished business of the Human Genome Project, which in 2003 succeeded in mapping the entire human DNA sequence. "As the saying goes, we bought the book," he said, "but we did not understand how to read it." Atlas is available for non-commercial use from today through a website Google DeepMind has set up for it. The company said it would be available for commercial use through a licensing arrangement through Google Cloud "soon." Kohli said that Google DeepMind's sister company,ÂIsomorphic Labs, which is using AI for drug discovery, would have access to Atlas but that it would also require a commercial license for access. He did not specify exactly what the terms would be for commercial licensing. A paper describing the Atlas and how it was created is being released on bioRxiv, a repository for biomedical preprint academic papers. Read more of this story at Slashdot.

Uber is laying off about 3,300 employees, or roughly 10% of its workforce, as part of a restructuring aimed at cutting management layers and redirecting investment toward ridesharing, delivery, and robotaxis. CEO Dara Khosrowshahi announced the changes in an internal email that was also published online.TechCrunch reports: According to the email, the layoffs are part of a restructuring exercise that would shrink the number of managers by 20%, and some personnel in these roles would work as individual contributors going forward. The ridesharing giant is reducing the number of teams with one or two members by 50%, and letting go staff who are "more than seven layers down from the CEO," per Bloomberg. Khosrowshahi's email said the company is combining its engineering, science, and delivery divisions. The company is also bringing together its delivery operations across restaurants, retail, and direct divisions. Remote jobs at the company are going away, too, with Uber only allowing less than 1% of its staff to work remotely. Read more of this story at Slashdot.

Dyson is entering oral care with the $499 CameraJet, a smart toothbrush that uses a tiny camera and on-device AI to detect gaps between teeth and automatically blast them with mouthwash while you brush. Regular toothpaste and mouthwash will work with the CameraJet, but Dyson plans to sell its own non- or low-foaming formulas designed to give the toothbrush's camera a clearer view inside your mouth. The Verge reports: Just below the brush head is a tiny camera with a 100,000-pixel resolution and a strobing light. The toothbrush's AI analyzes 28 live images from the camera every second as part of a feature Dyson calls Gap Optical Targeting, without storing them on the device or sending them to the cloud. Within 100 milliseconds of a gap between your teeth being detected, the CameraJet emits a cone-shaped blast of mouthwash to clean out the space. Dyson uses a wider blast than what water flossers typically employ so it can effectively remove plaque with less pressure, making the CameraJet's flossing mechanism gentler on enamel and gums The replaceable brush heads use a combination of softer outer bristles that safely clean along the gumline and stiffer inner bristles that are better at scrubbing away tooth stains. The brush head oscillates nearly 1,000 times each second while the angle of oscillation is constantly changing to improve the effectiveness of your brushing. Pricing on replacement brush heads isn't known, but each one features an RFID tag so the CameraJet can track usage and alert you when a replacement is needed every three months. To ensure its mouthwash reservoir can effectively pump no matter how the CameraJet is held -- even upside down -- instead of sticking a tube into the reservoir, there's an air bladder inside the tank that slowly inflates to fill empty space, minimize air pockets, and maintain a constant pressure. An elaborate docking station recharges the toothbrush and can automatically fill its built-in 12.5ml mouthwash reservoir in just three seconds. Read more of this story at Slashdot.