Anthropic's alliance with pope on AI harms: all in good faith or'Vatican-washing?' Experts say AI firm's engagement with Vatican risks creating'feelgood' discourse that lacks critical examination Why did Anthropic's founder sit beside the pope during a warning about AI? In the first major written teaching of his papacy, Pope Leo XIV took artificial intelligence to task. At a ceremony honoring the holy teaching the day of its release at the Vatican, the pope was flanked by an unusual guest speaker: Anthropic co-founder Chris Olah, one of the people behind the AI boom so worrying Leo. Olah's presence raises a key question: how could the Catholic church and the world's most valuable AI startup work together, when Anthropic's technology may bring about the future Leo is warning against? Leo's encyclical discusses at length the preservation of the dignity of humans' work as it comes under threat from AI - but major AI companies, including Anthropic, aren't prioritising these concerns, says Pete Furlong, senior manager of policy and research at Center for Humane Technology, a nonprofit advocating for accountability around AI. "All of these companies are building technology that is designed to replace people," Furlong says.

Pope Leo XIV may not be able to disarm AI, but he's got the attention of the industry. For one thing, Olah is an atheist who at 15 rejected his evangelical Christian upbringing. As a Thiel fellow, he accepted a grant from the guy who thinks that anyone who slows down AI progress is a legionnaire of the antichrist . Olah is also a cofounder of Anthropic, a leading AI company reportedly about to go public with a nearly trillion-dollar valuation. Olah commented on the oddness in his remarks at the Vatican.

The film forms part of a research project undertaken by Alan Warburton which also includes a research paper and a series of satellite events. The film is based on doctoral research undertaken at Birkbeck's Vasari Centre for Art & Technology. It was commissioned by the National Videogame Museum in collaboration with the Open Data Institute (ODI) and Cambridge University's Leverhulme Centre for the Future of Intelligence . The ODI hosted a webinar on 6 May to discuss the content of the film. The panellists explored what AI can and can't do, what effects a collapse of real and virtual could have on visual culture, and if we're living in a post-truth world.

Just a week after an AI disproved an 80-year-old conjecture and astonished mathematicians, another conjecture that had stood for half a century has fallen, inspired by the same techniques, but this time written entirely by humans. Last week, an unreleased AI model from OpenAI disproved an important conjecture first posed by Hungarian mathematician Paul Erdős, called the unit distance problem. The puzzle, which Erdős considered his "most striking contribution to geometry" and which many mathematicians had failed to unravel, concerns the number of similar-sized connections you can make between dots arranged on a flat surface. Erdős had set an upper ceiling on this number, which many experts had assumed was correct. But the AI model showed that this number could in fact be much larger, using an obscure trick from algebraic number theory to make complex structures with extremely high dimensions, which could then be used to arrange the dots in a very different arrangement than humans had considered.

Mathematicians have never been so sought after by the world's richest people. At universities across the world, academics are seeing their colleagues mysteriously disappear and join private companies. Some of these companies are household names, like OpenAI and Google, but others are newly formed and just months old, hoping to capitalise on a moment in which mathematics is seen as the secret ingredient with which to improve artificial intelligence - which may in turn transform mathematics itself. "Last May, I was honestly kind of grieving for my scientific identity," says Ken Ono, who in 2025 went on leave from a professorship at the University of Virginia to join Axiom Math, a start-up aiming to build a maths-focused AI. Ono had been asked by a different company, called Epoch AI, to help craft a set of hard-to-solve maths problems that would test AI's problem-solving ability .

Trajectory is betting the rapid iteration cycle that supercharged vibe-coding can help all kinds of companies build AI products that learn continuously. Trajectory founders, Ronak Malde (left), Michael Elabd(center), and Arjun Karanam (right). A group of AI researchers who previously worked at Google DeepMind, Apple, OpenAI, and Meta Superintelligence Labs announced on Wednesday they're launching a new startup called Trajectory, which aims to help companies regularly improve their AI products by training on real-world user interactions. Trajectory wants to build a platform for AI that can learn continuously, a capability that researchers have long held up as a major barrier to further AI progress. OpenAI, Google, and Anthropic have found success training increasingly capable versions of AI models, especially for domains such as coding, math, and science.

The lower prices could be aimed at undercutting the competition. DeepSeek is leaning hard into being the cost-effective choice for AI agents. According to its website, the Chinese startup is dropping the price for its latest flagship model, DeepSeek V4 Pro, to a fourth of its original price. This latest price update makes permanent the 75 percent discount promotion that was previously supposed to end on May 31, 2026. As seen on the website's pricing page, the DeepSeek V4 Pro prices now range from $0.003625 to $0.87 per one million tokens, compared to the previous range between $0.0145 to $3.48 for every million tokens.

David Sacks and Mark Zuckerberg attend a dinner with tech leaders at the White House in Washington DC on 4 September 2025. David Sacks and Mark Zuckerberg attend a dinner with tech leaders at the White House in Washington DC on 4 September 2025. How big tech got its way on Trump's AI executive order The US president's reversal on calling for a safety review of new AI models is a green light for tech's unchecked power Only hours before Donald Trump was set to sign a long-awaited executive order on Thursday that would have called for a government safety review of new artificial intelligence models before their release, the president abruptly backed out . Despite growing public backlash to the technology and experts warning new models will pose critical security risks, Trump vowed the US government would not slow down the AI race. During a meeting with reporters on Thursday, Trump cited both American dominance and competition with China and as his reasoning behind the reversal.

Why the world's banks are so worried about Anthropic's latest AI model The legendary American bank robber Willie Sutton spent 40 years robbing banks because, as he claimed in his autobiography, he loved doing it. And when asked why he chose banks of all places to rob, he allegedly replied "Because that's where the money is." Back in 2017, I wrote a book predicting it wasn't just lovable rogues like Sutton who would soon be robbing banks, but artificial intelligence (AI). That day, it appears, could now be about to arrive. Banks around the world are seriously worried cyber criminals will soon take advantage of the latest advances in AI to try to rob them.

Meta is rapidly reorganizing its workers' jobs around AI: 'Transfers aren't optional' As Meta races to recenter itself around artificial intelligence, the tech giant is mandating that more than 7,000 workers must move to new teams, and it's radically changing some employees' jobs. The Guardian has also learned that some of these reassigned employees will shift to two new teams: one building AI cloud infrastructure and another that's building an internal AI agent codenamed Hatch. Late last week, Meta employees received a notice that engineers had been "selected" for reassignment and would begin reporting to the cloud infrastructure and Hatch teams by the end of this week. Meta made a similar move last month when it reshuffled at least 1,000 engineers on to a new data labeling team called Applied AI, or AAI - at first giving them the option to volunteer, but later telling workers: "Transfers aren't optional." "Our work, infrastructure and our products are fundamentally changing as a result of the continued acceleration of AI," wrote Peter Hoose, vice-president of production engineering at Meta, in an internal post about the two new teams viewed by the Guardian. "The pace of what we are building is unprecedented, and these are exactly the kind of challenges that define what we do best."