HM Revenue and Customs has announced a 10-year, £175m deal with the British tech firm Quantexa to provide AI-powered technology to help improve its performance. Quantexa says its systems will combine data collected by HMRC with external sources to help the tax office identify incidents of fraud and fix unintentional errors more quickly. Its tasks will include helping HMRC to assist customer service staff, as well as to identify hidden networks of companies and individuals masking fraudulent activity. Public dissatisfaction with HMRC performance has crept up in recent years, according to government figures. A Freedom of Information request made by the campaigners at the Contentious Tax Group found there were more than 93,000 complaints made about the department in 2024-2025 .

Writing tool Grammarly has disabled an AI feature which mimicked personas of prominent writers, including Stephen King and scientist Carl Sagan, following a backlash from people impersonated. The Expert Review function, which offered writing feedback inspired by the styles of famous authors and academics, was taken down this week by Superhuman, the tech firm which runs Grammarly. The feature was met with resistance, including a multi-million dollar lawsuit, from writers who found their names and reputations used as AI personas without their consent. Shishir Mehrotra, the firm's chief executive, apologised on LinkedIn, acknowledging the tool had misrepresented the voices of experts. Investigative journalist Julia Angwin, a New York Times contributing opinion writer, is the lead plaintiff in a class-action lawsuit filed against Superhuman and Grammarly in the Southern District of New York.

Tech platforms would have to remove intimate images which have been shared without consent within 48 hours, under a proposed UK law. The government said tackling intimate image abuse should be treated with the same severity as child sexual abuse material (CSAM) and terrorist content. Failure to abide by the rules could result in companies being fined up to 10% of their global sales or have their services blocked in the UK. Janaya Walker, interim director of the End Violence Against Women Coalition, said the welcome and powerful move... rightly places the responsibility on tech companies to act. The proposals are being made through an amendment to the Crime and Policing Bill, which is making its way through the House of Lords.

The prime minister, Keir Starmer, said the'burden of tackling abuse must no longer fall on victims' in an article written for the Guardian. The prime minister, Keir Starmer, said the'burden of tackling abuse must no longer fall on victims' in an article written for the Guardian. Tech firms must remove'revenge porn' in 48 hours or risk being blocked, says Starmer PM says measure, also applied to deepfake nudes, is needed owing to a'national emergency' of online misogyny Deepfake nudes and "revenge porn" must be removed from the internet within 48 hours or technology firms risk being blocked in the UK, Keir Starmer has said, calling it a "national emergency" that the government must confront. Companies could be fined millions or even blocked altogether if they allow the images to spread or be reposted after victims give notice. Amendments will be made to the crime and policing bill to also regulate AI chatbots such as X's Grok, which generated nonconsensual images of women in bikinis or in compromising positions until the government threatened action against Elon Musk's company .

The recruitment website is jazzy, awash with pictures of happy young workers, and festooned with upbeat mini-slogans such as insane speed, infinite curiosity and customer obsession. Read a bit lower, and there are promises of perks galore: competitive compensation, free meals, free gym membership, free health and dental care and so on. But then comes the catch. Each job ad contains a warning: Please don't join if you're not excited about working ~70 hrs/week in person with some of the most ambitious people in NYC. The website belongs to Rilla, a New York-based tech business which sells AI-based systems that allow employers to monitor sales representatives when they are out and about, interacting with clients. The company has become something of a poster child for a fast-paced workplace culture known as 996, also sometimes referred to as hustle culture or grindcore.

Negotiations over a technology deal between the UK and US have stalled due to stumbling blocks in wider trade negotiations between the two sides. The Technology Prosperity Deal - which was billed as historic when it was unveiled during US President Donald Trump's state visit in September - saw both countries pledge to co-operate in areas such as AI. However, talks on the agreement are now being held up because of US concerns about what it considers to be wider UK trade barriers. A government spokesperson said our special relationship with the US remains strong and the UK is firmly committed to ensuring the Tech Prosperity Deal delivers opportunity for hardworking people in both countries. The New York Times - which first reported the story - said there were broader disagreements between the two sides, including over digital regulations and food safety rules.

Several large tech firms that are active in AI have set goals to hit net zero by 2030, but a new forecast of the energy and water required to run large data centres shows they're unlikely to meet those targets As the AI industry rapidly expands, questions about the environmental impact of data centres are coming to the forefront - and a new forecast warns the industry is unlikely to meet net zero targets by 2030. Fengqi You at Cornell University in New York and his colleagues modelled how much energy, water and carbon today's leading AI servers could use by 2030, taking into account different growth scenarios and possible data centre locations within the United States. They combined projected chip supply, server power usage and cooling efficiency with state-by-state electrical grid data to conduct their analysis. While not every AI company has set a net zero target, some larger tech firms that are active in AI, such as Google, Microsoft and Meta have set goals with a deadline of 2030. "The rapid growth of AI computing is basically reshaping everything," says You. "We're trying to understand how, as a sector grows, what's going to be the impact?"

'A predator in your home': Mothers say chatbots encouraged their sons to kill themselves Megan Garcia had no idea her teenage son Sewell, a bright and beautiful boy, had started spending hours and hours obsessively talking to an online character on the Character.ai It's like having a predator or a stranger in your home, Ms Garcia tells me in her first UK interview. And it is much more dangerous because a lot of the times children hide it - so parents don't know. Within ten months, Sewell, 14, was dead. He had taken his own life.

Shares of major technology companies have fallen over fears about the valuations of firms linked to the artificial intelligence (AI) industry. Investors have grown increasing wary about what they are calling an AI bubble this year that has seen tech stock valuations hit record highs. Major indexes in Asia were the hardest hit on Wednesday, following a sell-off in the US. Japan's Nikkei 225 closed 2.5%, dragged lower by tech investment giant, SoftBank, which plunged more than 10%. AI valuation concerns took hold in the US as well after it was revealed the trader who inspired The Big Short has bet $1.1bn (£840m) on a fall in prices for AI-related stocks Nvidia and Palantir.

That was how Sam Altman, chief executive of OpenAI, described the latest upgrade to ChatGPT this week. The race Altman was referring to was artificial general intelligence (AGI), a theoretical state of AI where, by OpenAI's definition, a highly autonomous system is able to do a human's job. Describing the new GPT-5 model, which will power ChatGPT, as a "significant step on the path to AGI", he nonetheless added a hefty caveat. "[It is] missing something quite important, many things quite important," said Altman, such as the model's inability to "continuously learn" even after its launch. In other words, these systems are impressive but they have yet to crack the autonomy that would allow them to do a full-time job.