
Episode #17
Seasion 2 Episode 17 - AI, education and the future of learning, with Daniel Hulme
Matt and Al are joined by Daniel Hulme, one of the UK's leading voices on AI. Daniel grew up in Morecambe, was actively discouraged from applying to university, and did his A levels under a desk in the hotel restaurant he was running at 16. He got into UCL anyway, fell in love with education, and went on to found the AI company Satalia (acquired by WPP, where he is now Chief AI Officer) and Conscium, a company working on machine consciousness. He also ran a master's programme at UCL for five years. The conversation starts with a blunt question: is the traditional school-to-university pathway still an honest transaction? Daniel's answer is nuanced. He's watching students opt straight into work rather than risk three years on a degree with no job guarantee, and he doesn't think they're wrong. But he's equally clear that foundational knowledge still matters: the fundamentals of algorithms and computational complexity haven't changed in decades, and they're what separate people who can make good decisions about AI from the crowd who rebranded themselves as experts three years ago. He's forthright on the state of AI adoption too, borrowing Dan Ariely's line about big data: everyone says they're doing AI agents, almost nobody is, and much of what the big consultancies are selling is nonsense. His advice is the same one educators give: start with the problem, not the technology. From there it gets properly mind-stretching: why large language models are 'intoxicated graduates' on their way to professor level, spiking neural networks and brains that run on 20 watts, evolving digital creatures in a virtual petri dish, his colour-wheel theory of consciousness, the seven singularities, and whether a machine that understands pain and empathy would be safer for humanity than a 'zombie superintelligence'. The closing stretch comes back to education: testing how students apply knowledge rather than whether they hold it, AI's potential to narrow (or widen) disadvantage gaps, and what people say they'd do in a world of abundance. Top answer: improve their golf handicap. Second answer: learn. Daniel's new book, Perspectives on Machine Consciousness, gathering 30 of the world's leading thinkers in the field, is out in the coming months.

