The government says it is to deport 60 takeaway-delivery riders found to be working illegally in the UK. The Home Office says the group are among 171 riders arrested over seven days in November in a national enforcement blitz in villages, towns and cities across the country. It comes as Home Secretary Shabana Mahmood has been targeting people working unlawfully in the gig economy. Border Security Minister Alex Norris has also met representatives from food-delivery firms to encourage them to do more to tackle the issue - such as using facial recognition checks to prevent riders sharing their identities with people who do not have permission to take up work in the UK. Norris said November's action ought to send a clear message: if you are working illegally in this country, you will be arrested and removed.

'It was about degrading someone completely': the story of Mr DeepFakes - the world's most notorious AI porn site The hobbyists who helped build this site created technology that has been used to humiliate countless women. Why didn't governments step in and stop them? For Patrizia Schlosser, it started with an apologetic call from a colleague. "I'm sorry but I found this. Are you aware of it?"

Things to Do in L.A. Tap to enable a layout that focuses on the article. Porn advertisers target California secretary of state's website The state of California's elections and business website appears to be hosting pornography and cash apps as seen through a web search on Dec. 4, 2025. This is read by an automated voice. Please report any issues or inconsistencies here . The California secretary of state's website appears to have been compromised with advertisements for pornography and cash apps.

Check Out Highlights From WIRED's Big Interview Event On December 4, WIRED sat down with some of the biggest names in tech, culture, business, and science for a day full of in-depth interviews. In 2024, we brought those talks to a stage in San Francisco for the very first time. This year, we did it again, bringing together AMD CEO Lisa Su, director Jon M. Chu, Anthropic cofounder Daniela Amodei, Cloudflare CEO Matthew Prince, and many more. The Big Interview, a one-day, in-person event held at The Midway in San Francisco on December 4, featured a series of in-depth, illuminating Q&As with some of the biggest names in innovation today, each led by a WIRED journalist. We also hosted our take on a modern-day science fair, complete with hands-on demos and other fun experiences.

Big Tech has lost its way. At WIRED's Big Interview event, Techdirt editor Mike Masnick and Common Tools CEO Alex Komoroske announced a manifesto designed to help the industry get back on track. Alex Komoroske has always been at odds with Big Tech's darker side. Though he cut his product-management teeth at Google and Stripe, he was never comfortable with the industry's increasing prioritization of profits over people. Once during his time at Google, he extolled the societal benefits of a project only to be met with, "Oh Alex, you'd be a VP by now if you just stopped thinking through the implications of your actions."

Meta wants to make its AI hardware slicker and more fashion-forward. It also needs to make its software more usable. The way to do all that appears to be hiring design maestros away from Apple. Meta has made a big move to hire two prominent designers away from rival tech giant Apple, likely putting them to work on designing Meta's next generation of AI hardware and the software that runs on it. Alan Dye, formerly Apple's vice president of Human Interface Design, will join Meta to head up a new design studio within Meta's Reality Labs.

Sahil Lavingia, previously a DOGE operative at the Department of Veterans Affairs, is now a career employee at the IRS. He said at WIRED's Big Interview event that he expects to work there 10 years. Sahil Lavingia, the former member of Elon Musk's so-called Department of Government Efficiency (DOGE) first identified by WIRED, has a new job in government at the Internal Revenue Service (IRS). Lavingia joined the IRS in November. In a conversation at WIRED's Big Interview event with former acting commissioner of the Social Security Administration (SSA) Leland Dudek and David Foote, outside counsel for the US Institute of Peace, Lavingia said, "I'm working at IRS for online accounts."

Waterstones would stock books created using artificial intelligence, the company's boss has said, as long as they were clearly labelled, and if customers wanted them. However, James Daunt, a veteran of the bookselling industry, said he personally did not expect that to happen. There's a huge proliferation of AI generated content and most of it are not books that we should be selling, he said. But it would be up to the reader. An explosion in the use of artificial intelligence, or AI, has prompted heated debate in the publishing industry, with writers concerned about the impact on their livelihoods.

The United States Inspector General report reviewing Secretary of Defense Pete Hegseth's text messaging mess recommends a single change to keep classified material secure. A United States Inspector General report publicly released today found that Secretary of Defense Pete Hegseth could have put US troops and military operations at risk by using the consumer messaging service Signal to share sensitive, real-time details in March about a planned attack on Houthi rebels in Yemen. The IG first shared the classified report with Congress on Tuesday. The report contains only one direct recommendation: that the chief of US Central Command's Special Security Office "review the command's classification procedures for compliance" with Department of Defense regulations "and issue additional procedures, as necessary, to ensure proper portion marking of classified information." The report also references another IG publication about use of "non-DOD-controlled electronic messaging systems" and points to its recommendations that DOD "improve training for senior DOD officials on the proper use of electronic devices."

Graph representation learning seeks to transform complex, high-dimensional graph structures into compact vector spaces that preserve both topology and semantics. Among the various strategies, subgraph-based methods provide an interpretable bridge between symbolic pattern discovery and continuous embedding learning. Yet, existing frequent or discriminative subgraph mining approaches often suffer from redundant multi-phase pipelines, high computational cost, and weak coupling between mined structures and their discriminative relevance. We propose DS-Span, a single-phase discriminative subgraph mining framework that unifies pattern growth, pruning, and supervision-driven scoring within one traversal of the search space. DS-Span introduces a coverage-capped eligibility mechanism that dynamically limits exploration once a graph is sufficiently represented, and an information-gain-guided selection that promotes subgraphs with strong class-separating ability while minimizing redundancy. The resulting subgraph set serves as an efficient, interpretable basis for downstream graph embedding and classification. Extensive experiments across benchmarks demonstrate that DS-Span generates more compact and discriminative subgraph features than prior multi-stage methods, achieving higher or comparable accuracy with significantly reduced runtime.