The Dell Laptop Buying Guide UK: Which Dell Laptop Should You Buy? When you purchase through links in our articles, we may earn a small commission. One AI subscription to replace them all is $99.99 for life Paying for ChatGPT, Claude, and Gemini separately costs well over $60 per month. Claude 4.6 Sonnet refines your written drafts, GPT-5.5 Pro handles extensive research queries, and Gemini 3.1 Pro distills dense PDFs. Beyond chat, 1min.AI includes image generation, background removal, text-to-speech, voice cloning, video creation, and a blog article generator, all drawing from the same monthly credit pool.

Lena Schilling is one of 50 MEPs, 46 of them women, who have been targeted by sexualised deepfakes. Lena Schilling is one of 50 MEPs, 46 of them women, who have been targeted by sexualised deepfakes. 'I felt disgusted': MEP speaks out over nude deepfakes and urges EU action Lena Schilling of Austrian Greens says images are'digital violence against women' and a threat to democracy An Austrian MEP has spoken out about her experience of being "stripped naked" online without her consent and has urged the EU to take action, as a report found that one in six female MEPs had been targeted by sexualised AI-generated content. Lena Schilling of the Green party said she had learned last month about nude deepfakes of herself circulating online. When she opened the links, she found herself staring at images from one of her first ever press conferences - but the images had been digitally altered to remove her clothing.

With the release of iOS 27, Apple is deploying its much-anticipated Siri AI suite of features across its software ecosystem. One noteworthy change is coming to Apple HomeKit, as the Cupertino company injects Apple Intelligence into its home security camera system. The upgrade launches Apple's video summary feature, where you can generate descriptions of videos caught on your home security system. The feature groups together related clips across multiple cameras for a comprehensive picture of a specific event, allowing you to easily review events that occur at your home. For instance, Apple's press release announcing the feature shows a man identified as Robert arriving at a home with a fruit bowl of fruit, an example showcasing how HomeKit's Apple Intelligence and Face Recognition software work together to generate these summaries.

Bruce Blakeman, a Republican who is running for governor of New York, released campaign ads featuring Zohran Mamdani, New York City mayor, and Kathy Hochul, the state's governor, gardening together and collaborating to raise prices for residents. Another ad features Hochul talking about hiking tolls and fares so people cannot afford to drive or take the subway. A spate of AI-generated ads that are obviously fake but grab voter attention have been a feature of campaigns in the lead up to the pivotal United States midterm elections on November 3. While regulation has focused on labelling AI deepfakes that could mislead voters, it is "slopaganda" - or identifiably fake ads - that mark this campaign season, says Scott Babwah Brennen, director of New York University's Center on Technology Policy and co-author of a recent report, Political Slopaganda. Political candidates and their supporters have spent more than $80m to make more than 164 AI-based ads this election season, according to the Wesleyan Media Project, a non-partisan election advertising tracker.

At the International Conference on Machine Learning (ICML 2026),, and presented their work Vision Language Models Cannot Reason About Physical Transformation . In this interview, William Yijiang Li tells us more about the research, the method the team used, and the controlled experiments they carried out. What is the topic of the research in your paper and why is it an interesting area for study? Our research asks a fairly fundamental question: do vision-language models actually understand how the physical world changes over time? Modern vision-language models are increasingly being used in areas such as robotics, embodied agents, and video understanding.

The biggest loss you'll feel when switching from a traditional iPhone to the Duo is the latter's lack of a FaceID array for facial recognition. If you've grown accustomed to FaceID, which pretty much always works as long as your face is somewhere in front of the screen, losing that option could be a major blow. When unlocking your phone, making purchases and logging into apps requires fiddling with a finicky fingerprint sensor every time, it can become aggravating. On the other hand, some users still miss the older iPhones with TouchID. Maybe your face doesn't play nice with FaceID for whatever reason.

An interrogater tries to get to the bottom of a surreal scandal while green screen actors meddle with the story in Jess and Morgs' inventive production W hat audiences remember most from a political interview, a voiceover tells the prime minister (Kennedy Muntanga) as he prepares to face his TV interrogator (Rebecca Bassett-Graham, coiffed à la Emily Maitlis), is less the words themselves than the tone of voice and the tenor of the body. Muntanga is on point, then: his arms sweep, his fingers beetle and his hands spread out, as if he were wordlessly fielding fly-by questions and offering open statements. This setup lands right in the zone for creative duo Jess and Morgs (Jessica Wright and Morgann Runacre-Temple), whose turf is a congenial mix of choreography, film and theatre. In Deepfake, along with writer Jeff James, they explore the various unravellings of an encounter in which the interviewer tries to find the truth behind a surreal - but maybe real? - story in which the PM was seen variously spattered with yellow paint, with his flies undone, and partaking in a ritual involving a deer's head. The content of these scenarios perhaps matters less than the ingenious manner of their staging (props to the design team too), which deploys green screen, live relay and other film and stage effects to storify the interview with simulated settings, duplicates of the figure of the PM, selective perspectives and closeups of the central encounter.

DHS agents not only tracked and intimidated people observing ICE activity in Maine, but stored information about them in a Palantir-built database, newly unsealed court filings say. An explosive and newly partially unsealed court filing alleges that the US Department of Homeland Security built up dossiers on ICE observers--including their photos, license plate numbers, and other information--and stored them in a system called the Investigative Case Management database, which was built by Palantir . Palantir did not immediately respond to requests for comment. A spokesperson for DHS calls the case "meritless" and says that "the underlying lawsuit is based on the lie that there is a database of'domestic terrorists' run by DHS." Plaintiffs allege in the filing, which is heavily based on documents produced by the government and depositions of DHS agents, that agents had a practice of intimidating protesters and observers. They did this, the filing says, by doing drive-bys of the observers' homes and, in the case of at least one observer, requiring that she be referred to secondary inspection any time she tries to cross the border until at least January 2027.

The iOS 27.0.1 update began rolling out to users on Monday, and it mainly focuses on fixing bugs affecting the iPhone 18 Pro models. A number of reports from iPhone 18 Pro and 18 Pro Max owners suggested that the device would restart out of the blue after Face ID failed to authenticate. Some customers even had their devices replaced by Apple, but the problem persisted. The company later confirmed to 9to5Mac that it would release an update to address the issue. In addition to the Face ID bug, this update fixes another quirk that caused a color artifact in photos taken on the iPhone 18 Pro at the 2x zoom level.

More than half a million faces were scanned in some of the capital's busiest transport hubs during the trial. More than half a million faces were scanned in some of the capital's busiest transport hubs during the trial. Tue 29 Sep 2026 05.48 EDTLast modified on Tue 29 Sep 2026 07.53 EDT A six-month trial of live facial recognition (LFR) technology in London's railway stations that cost more than £320,000 and almost 100 hours of police officers' time led to one false match against a watchlist of suspects and no arrests. More than half a million faces were scanned between February and July this year in some of the capital's busiest transport hubs during the British Transport Police (BTP) trial of the surveillance technology, which aimed to help catch offenders and people breaching court orders. A freedom of information document obtained by Liberty Investigates and shared with the Guardian shows that equipment hire and police staffing for the 18 deployments across the trial cost £320,786 and led to only one alert on a watchlist, which turned out to be an incorrect identification, also known as a false positive.