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Babbage from The Economist

Babbage picks: The potential for AI in developing countries

An article from The Economist read aloud. We explore how artificial intelligence (AI) should be tailored to suit the needs of the emerging world, promising to boost productivity. Most exciting of all, the technology could help income levels catch up with those in the rich world.

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  • The everything drugs: how Ozempic could change the world

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    The family of weight-loss jabs known as GLP-1 agonists are among pharma’s biggest blockbusters. But drugs like Ozempic have the potential to do much more than tackle diabetes and obesity. They have been found to treat cardiovascular and kidney disease, and they are also being tested for liver disease, Alzheimer’s and even addiction. If they live up to their promise, GLP-1s are set to transform health care. How can one class of drug do so much?Host: Alok Jha, The Economist’s science and technology editor. Contributors: Caroline Messer, an endocrinologist in New York; Daniel Drucker of the University of Toronto; and The Economist’s Natasha Loder and Shailesh Chitnis. For more on this topic, listen to our podcast on the physiological and psychological causes of obesity—and why GLP-1 drugs could reshape the world.Transcripts of our podcasts are available via economist.com/podcasts.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.
  • Europa Clipper: is there life on Jupiter's moons?

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    NASA’s multi-billion-dollar Europa Clipper spacecraft is on its way to Europa, one of Jupiter’s mysterious icy moons. The mission will investigate whether the moon, whose icy crust conceals a vast ocean of liquid water, might harbour the kind of environment suitable for alien life. In their search for life elsewhere, scientists have in recent years become much more interested in the outer solar system's icy moons, once considered too far from the Sun to plausibly support life. Europa Clipper is one of several probes heading to (or planned to travel to) those faraway worlds. Will they find signs that life could exist there?Host: Alok Jha, The Economist’s science and technology editor. Contributors: Michele Dougherty and her team at Imperial College London; Nathalie Cabrol of the SETI Institute and the author of “The Secret Life of the Universe”; and The Economist’s Tim Cross.For more on this topic, listen to our podcast on the European Space Agency’s JUICE mission and our interviews with exoplanet hunters Didier Queloz and Jessie Christiansen.Transcripts of our podcasts are available via economist.com/podcasts.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.
  • Like a rocket: Starship and the US-China Moon race

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    The remarkable recent test flight of SpaceX’s Starship brought the world one step closer to a host of new possibilities beyond Earth (not least the colonisation of Mars). But as well as reducing the cost of sending stuff into space and opening up new business opportunities in Earth orbit, Starship will also play an important role in NASA’s plans to return to the Moon. Meanwhile, China has its own lunar ambitions, and a much simpler plan than America’s. Who will win this new space race?Host: Alok Jha, The Economist’s science and technology editor. Contributors: Kari Bingen of the Centre for Strategic and International Studies; The Economist’s Tim Cross, Oliver Morton and Paddy Stephens.For more on this topic, listen to our podcasts on who owns the Moon, the new space economy, and the lunar South Pole.Transcripts of our podcasts are available via economist.com/podcasts.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.
  • The 2024 Nobel prizes: a triumph for AI

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  • Silicon returns to Silicon Valley: chipmaking enters a new golden age

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    For half a century, the exponential increases in computing performance have powered the digital age. These gains were achieved by shrinking the components on computer chips, meaning that each new generation of semiconductor technology has been faster and more efficient than the last. But, with engineers now facing limits to how much further silicon chips can shrink, and ever-increasing demand thanks to the AI boom, chipmakers are having to get creative. What are the technical innovations they hope will keep the world’s AI ambitions on track?Host: Alok Jha, The Economist’s science and technology editor. Contributors: Shailesh Chitnis, The Economist’s global business correspondent; Eric Pop of Stanford University; David Patterson, professor emeritus of the University of California, Berkeley; and The Economist’s Rachana Shanbhogue.Transcripts of our podcasts are available via economist.com/podcasts.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.
  • A new prescription: Kathy Willis on how nature can improve your health

    35:39|
    Seeing, smelling and being in nature can directly improve your physical and mental health. We may know this intuitively but it is now also backed up by an emerging body of scientific  research. What are the benefits of a walk in the woods? Why does the scent from certain trees enhance cancer-fighting cells in the immune system? What does birdsong have to do with pain management? And what exactly are your houseplants doing for your microbiome?Alok Jha, The Economist’s science and technology editor, speaks to Kathy Willis, professor of biodiversity at the University of Oxford and author of “Good Nature: The New Science of How Nature Improves Our Health”.Transcripts of our podcasts are available via economist.com/podcasts.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.
  • AGI, part two: how to make artificial intelligence more like the human kind

    34:46|
    Scientists and tech companies are on a quest to build AI with something closer to the general intelligence of humans. Large language models (LLMs), which power the likes of ChatGPT, can seem human-like, but they work in very different ways to the beings that created them. In order to create a superintelligent world, how can modern AI models be improved to make them better at reasoning and understanding the world? Are LLMs the right type of technology to pursue? Or do scientists need to get more creative?This is the final episode in our two-part series on artificial general intelligence. Last week, we sought to define what is a slippery concept. This week: the technological and ethical challenges that need to be solved in building the truly human-like AI models.Host: Alok Jha, The Economist’s science and technology editor. Contributors: Steven Pinker of Harvard University; Gary Marcus, professor emeritus at New York University; Yoshua Bengio of the University of Montréal; and The Economist’s Abby Bertics.Transcripts of our podcasts are available via economist.com/podcasts.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.
  • AGI, part one: what is artificial general intelligence?

    34:04|
    For those who think about the future of AI, one of the biggest buzzwords is artificial general intelligence, or AGI. Many of the biggest tech companies in the world point to AGI as their ultimate goal when building intelligent machines. But what does that really mean, and how useful is the concept for understanding how AI is progressing? In the first of two episodes, we explore how philosophers and scientists define AGI and what companies are doing to try to build it.Host: Alok Jha, The Economist’s science and technology editor. Contributors: Melanie Mitchell of the Santa Fe Institute; Susan Schneider of Florida Atlantic University; Blaise Aguera y Arcas, CTO of Technology & Society at Google; and The Economist’s Tom Standage, Kenneth Cukier and Abby Bertics.Over the last five weeks, “The Intelligence”, our daily news podcast, has been answering your questions about AI. Go back and listen here.You can find The Economist’s “Schools Brief” series of articles on artificial intelligence here. Transcripts of our podcasts are available via economist.com/podcasts.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.