"I think it should stand for," one 9-year-old says. Here's why kids of all ages are calling AI "disgusting" and "creepy." Forget cheating on homework and chatbot friends. Some kids are getting in on a new AI trend: thinking it sucks. In the four years since chatbots went mainstream, and their marketing campaigns went into overdrive, young people have grown increasingly skeptical of the hype around LLMs. Yes, many of them still use the tech for school assignments and companionship, but according to market research firm YPulse, 37 percent of teens aged 13 to 17 cringe when they see AI content like music and videos, and more than half worry about misinformation and deepfakes.

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Check your subscription status, update your details and more. The controversial idea that consciousness has a quantum origin is facing a new challenge, after a mathematical analysis appears to show that a long-known law of physics makes it impossible. What physical process makes us conscious, and whether we could observe and analyse it, is one of the great open questions of modern science. In the 1990s, mathematician Roger Penrose and anesthesiologist Stuart Hameroff proposed that classical physics can't explain consciousness alone and so it must arise in the quantum realm. The idea was received with scepticism and remains controversial, but attempts to bring quantumness into explanations of consciousness have persisted since.

Mathematicians put AI to work on Fermat's last theorem At an event in London, mathematicians have made unexpectedly fast progress on formalising Fermat's last theorem using AI In the lobby of a central London hotel, tourists are bracing themselves for a day of sightseeing in a heatwave. Meanwhile, staff are resetting the dining room after breakfast. And in a windowless meeting room, assembled academics are contemplating whether humans have a role to play in the future of mathematics, now that AI can prove theorems by itself. The general mood in the room is one of bewilderment at the recent jump in computer intelligence and excitement about the potential it unlocks - and perhaps a slight unease about what the future holds for them personally. Twenty-five researchers from diverse fields and countries are here to spend a week working on formalising Fermat's last theorem with cutting-edge AI models.

From AI with Hannah Fry to David Attenborough's early days, these are the five must-watch science documentaries of the year to date, says Bethan Ackerley In 2015, an amateur trophy hunter from the US shot and killed the largest lion in Africa. The vitriol unleashed after Cecil's death isn't surprising (or entirely unwarranted), but what is remarkable is how this delicately-crafted film uses the case as a locus for all sorts of arguments about conservation. A symbol in life and in death, Cecil and other large, charismatic animals exist in a complex balance with humans who, one way or another, invariably stake a claim on them. Almost everyone in the world now needs to have some knowledge of how AI technologies work, from all the chatbots they encounter to driverless cars and more. Mathematician Hannah Fry is an excellent person to impart such knowledge: across three episodes, she guides us through recent cases where AI has become entangled with very human problems.

Does time come from the entire universe running computations? Explaining the passage of time has been a gnarly problem in physics basically forever, but physicist and computer scientist Stephen Wolfram has a radical proposal for where it comes from. What if the universe is just one big computer? My colleagues and I have a running joke: time isn't real. Oh, you thought that deadline was tomorrow, but it's actually today?

Bees seem to show when they are pleased and like something, rather than just needing it, in one of the strongest signs yet that insects have subjective experiences. In recent decades, it has become clear that bees are capable of more complex behaviours than we previously thought, such as counting and demonstrating a sense of rhythm . But discerning whether they have inner states akin to our emotions is more difficult. For one thing, insects don't have the flexible facial musculature of mammals, which we use to communicate our feelings. "How can we get any behavioural readout of these insects with a hard body and their mask of a face," asks Andrew Barron at Macquarie University in Sydney, Australia.

Can the biggest problems in AI be solved by philosophy? Some of the biggest challenges in artificial intelligence are being worked on not by computer scientists head down in code but by philosophers lured from academia into jobs at AI firms. The philosophers are tasked with making the next generation of models more capable and reliable, but they also shed light on the mystery of consciousness and whether intelligence can be replicated in software alone. Jonathan Birch at the London School of Economics and Political Science says AI companies are the big employers of philosophy PhDs right now, with offers of interesting work, large salaries and stock options proving too tempting for many to resist. "Topics that have been researched in philosophy departments for decades - how to make rational decisions, how to systematise moral principles, what counts as thinking or reasoning or introspection, what counts as evidence of consciousness - are suddenly of massive value to AI companies," says Birch. "So, naturally, we are seeing a huge brain drain."