• Herman Pontzer: what people get wrong about metabolism
    Apr 30 2025

    Do you run, cycle or swim to lose weight? Herman Pontzer, an evolutionary anthropologist who specialises in understanding how humans use energy, thinks you’re probably wasting your time. His idea of the “exercise paradox” suggests that the amount of energy people use in a day is constrained (by evolution) and that exercising more doesn’t end up burning more calories. Figuring out why our bodies work like this is part of Prof Pontzer’s bigger project to map out and better understand how evolution has shaped variations in human biology.


    Hosts: Alok Jha, The Economist’s science and technology editor. Contributor: Herman Pontzer, professor of evolutionary anthropology and global health at Duke University and the author of “Burn” and “Adaptable”.


    Transcripts of our podcasts are available via economist.com/podcasts.


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    35 mins
  • Trailer: Boss Class Season 3
    Jan 26 2026

    AI is changing how we work. It's turning us all into managers. Be a good one.


    The Economist’s management columnist, Andrew Palmer, takes on the bots in the third season of Boss Class. From cloning to coding, agents to entry-level jobs, he tackles the threat head on and figures out how to turn anxiety into opportunity. Along the way he meets bulls and bears and the people who can help you to master management in the age of AI.


    Full Season 3 out 29th January 2026.


    To listen to the full series, subscribe to Economist Podcasts+.

    https://subscribenow.economist.com/podcasts-plus


    If you’re already a subscriber to The Economist, you have full access to all our shows as part of your subscription. For more information about how to access Economist Podcasts+, please visit our FAQs page or watch our video explaining how to link your account.


    Hosted on Acast. See acast.com/privacy for more information.

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    2 mins
  • The bomb (part 1): were nuclear weapons inevitable?
    Jul 16 2025

    Where did the world’s most devastating weapon come from? In a four-part series, we go behind the scenes at America's nuclear laboratories to understand how a scientific-mystery story about the ingredients of matter led to a world-changing (and second-world-war-ending) bomb less than five decades later.


    Nuclear weapons have been central to geopolitical power ever since. Now America is seeking to modernise its stockpile and, in doing so, its scientists are pushing the frontiers of extreme physics, materials science and computing.


    In episode one, we look at the birth of nuclear physics—the science that emerged early in the 20th century to answer a mystery: what is an atom actually made of?


    Host: Alok Jha, The Economist’s science and technology editor. Contributors: Frank Close, a physicist and author of “Destroyer of Worlds”, a history of the birth of nuclear physics; Cheryl Rofer, a chemist who used to work at the Los Alamos National Laboratory (LANL); and Nicholas Lewis, a historian at LANL.


    This episode features archive from the Atomic Heritage Foundation.


    Listen to episode two here.


    Transcripts of our podcasts are available via economist.com/podcasts.


    This is a free episode. To continue listening to “The Bomb”, you’ll need to subscribe.


    Listen to what matters most, from global politics and business to science and technology—subscribe to Economist Podcasts+.


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    Hosted on Acast. See acast.com/privacy for more information.

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    44 mins
  • AI and health part one: DrGPT will see you now
    May 22 2024

    Artificial intelligence is already making its mark in health care—but new, bigger, models promise to improve how patients access services, help doctors spot diseases faster and transform how medical research is done. In the first of two episodes on the potential of AI in health care, we ask: how will patients benefit from the technology behind ChatGPT?


    Host: Alok Jha, The Economist’s science and technology editor. Contributors: Natasha Loder, The Economist's health editor; Gerald Lip of NHS Grampian; Peter Kecskemethy of Kheiron Medical; Pranav Rajpurkar of Harvard Medical School; Hugh Harvey of Hardian Health.


    Want to learn more about generative artificial intelligence? Listen to our series on the science that built the AI revolution.


    Transcripts of our podcasts are available via economist.com/podcasts.


    Get a world of insights for 50% off—subscribe to Economist Podcasts+


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    Hosted on Acast. See acast.com/privacy for more information.

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    46 mins
  • Babbage: Teens and their screens
    May 1 2024

    Ever since there have been smartphones and social media, there have been concerns about how they might be affecting children. Over the past decade, doctors have seen a decline in mental health in the young in much of the rich world. But whether that rise can be attributed to technology is still a matter of fierce debate. Nevertheless, demands are growing to proactively restrict teenagers’ access to phones and social media, just in case. How concerned should parents and teachers be? Or is this just another moral panic?


    Host: Alok Jha, The Economist’s science and technology editor. Contributors: Tom Wainwright, The Economist's technology and media editor; Clare Fernyhough, co-founder of Smartphone Free Childhood; Carol Vidal of Johns Hopkins University; Pete Etchells, a psychologist at Bath Spa University and the author of “Unlocked: The Real Science of Screen Time”.


    Listen to what matters most, from global politics and business to science and technology—subscribe to Economist Podcasts+


    For more information about how to access Economist Podcasts+, please visit our FAQs page or watch our video explaining how to link your account.

    Hosted on Acast. See acast.com/privacy for more information.

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    42 mins
  • Babbage: The science that built the AI revolution—part one
    Mar 6 2024

    What is intelligence? In the middle of the 20th century, the inner workings of the human brain inspired computer scientists to build the first “thinking machines”. But how does human intelligence actually relate to the artificial kind?


    This is the first episode in a four-part series on the evolution of modern generative AI. What were the scientific and technological developments that took the very first, clunky artificial neurons and ended up with the astonishingly powerful large language models that power apps such as ChatGPT?


    Host: Alok Jha, The Economist’s science and technology editor. Contributors: Ainslie Johnstone, The Economist’s data journalist and science correspondent; Dawood Dassu and Steve Garratt of UK Biobank; Daniel Glaser, a neuroscientist at London’s Institute of Philosophy; Daniela Rus, director of MIT’s Computer Science and Artificial Intelligence Laboratory; Yoshua Bengio of the University of Montréal, who is known as one of the “godfathers” of modern AI.


    On Thursday April 4th, we’re hosting a live event where we’ll answer as many of your questions on AI as possible, following this Babbage series. If you’re a subscriber, you can submit your question and find out more at economist.com/aievent.


    Get a world of insights for 50% off—subscribe to Economist Podcasts+


    If you’re already a subscriber to The Economist, you’ll have full access to all our shows as part of your subscription. For more information about how to access Economist Podcasts+, please visit our FAQs page or watch our video explaining how to link your account.

    Hosted on Acast. See acast.com/privacy for more information.

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    43 mins
  • Babbage: The hunt for dark matter
    Feb 21 2024

    Dark matter is thought to make up around a quarter of the universe, but so far it has eluded detection by all scientific instruments. Scientists know it must exist because of the ways galaxies move and it also explains the large-scale structure of the modern universe. But no-one knows what dark matter actually is.


    Scientists have been hunting for dark matter particles for decades, but have so far had no luck. At the annual meeting of the American Association for the Advancement of Science, held recently in Denver, a new generation of researchers presented their latest tools, techniques and ideas to step up the search for this mysterious substance. Will they finally detect the undetectable?


    Host: Alok Jha, The Economist’s science and technology editor. Contributors: Don Lincoln, senior scientist at Fermi National Accelerator Laboratory; Christopher Karwin, a fellow at NASA’s Goddard Space Flight Center; Josef Aschbacher, boss of the European Space Agency; Michael Murra of Columbia University; Jodi Cooley, executive director of SNOLAB; Deborah Pinna of University of Wisconsin and CERN.


    Get a world of insights for 50% off—subscribe to Economist Podcasts+


    If you’re already a subscriber to The Economist, you’ll have full access to all our shows as part of your subscription. For more information about how to access Economist Podcasts+, please visit our FAQs page or watch our video explaining how to link your account.

    Hosted on Acast. See acast.com/privacy for more information.

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    44 mins
  • Babbage: Sam Altman and Satya Nadella on their vision for AI
    Jan 24 2024

    OpenAI and Microsoft are leaders in generative artificial intelligence (AI). OpenAI has built GPT-4, one of the world’s most sophisticated large language models (LLMs) and Microsoft is injecting those algorithms into its products, from Word to Windows.


    At the World Economic Forum in Davos last week, Zanny Minton Beddoes, The Economist’s editor-in-chief, interviewed Sam Altman and Satya Nadella, who run OpenAI and Microsoft respectively. They explained their vision for humanity’s future with AI and addressed some thorny questions looming over the field, such as how AI that is better than humans at doing tasks might affect productivity and how to ensure that the technology doesn’t pose existential risks to society.


    Host: Alok Jha, The Economist's science and technology editor. Contributors: Zanny Minton Beddoes, editor-in-chief of The Economist; Ludwig Siegele, The Economist’s senior editor, AI initiatives; Sam Altman, chief executive of OpenAI; Satya Nadella, chief executive of Microsoft.


    If you subscribe to The Economist, you can watch the full interview on our website or app.


    Essential listening, from our archive:


    “Daniel Dennett on intelligence, both human and artificial”, December 27th 2023


    “Fei-Fei Li on how to really think about the future of AI”, November 22nd 2023


    “Mustafa Suleyman on how to prepare for the age of AI”, September 13th 2023


    “Vint Cerf on how to wisely regulate AI”, July 5th 2023


    “Is GPT-4 the dawn of true artificial intelligence?”, with Gary Marcus, March 22nd 2023


    Sign up for a free trial of Economist Podcasts+. If you’re already a subscriber to The Economist, you’ll have full access to all our shows as part of your subscription. For more information about how to access Economist Podcasts+, please visit our FAQs page or watch our video explaining how to link your account.

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    45 mins