Babbage from The Economist The Economist

Scientists are still uncovering the myriad ways in which the gut microbiome affects human health. An out-of-kilter ecosystem of microbes can cause diseases of the gastrointestinal tract. But it has also been linked to obesity and conditions such as liver disease and Alzheimer’s. Understanding those connections opens up a new type of medicine. Is the era of microbiome treatments about to arrive?

Host: Gilead Amit, The Economist’s science correspondent. Contributors: Désirée Prossomariti and Simon Goldenberg of St Thomas’ Hospital in London; Glenn Gibson of the University of Reading; Debbie Shawcross of King’s College London; Matt Cheng, boss of Kanvas Biosciences; Natasha Loder, The Economist's health editor.

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Scenes of ghostly white coral reefs are among the most iconic images of the climate crisis. This year a mass coral bleaching event has hit the Great Barrier Reef, as global warming and the El Niño climate cycle have heated the Pacific Ocean to new extremes. Our science correspondent travels to Australia to meet some of the researchers on the frontlines of the fight to save these ecosystems.

Host: Alok Jha, The Economist’s science and technology editor. Contributors: Abby Bertics, The Economist’s science correspondent; Joanie Kleypas of the National Center for Atmospheric Research; Annika Lamb of the Australian Institute of Marine Science.

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Three decades ago, the discovery of the first planet outside the solar system launched a new field: exoplanet astronomy. It also energised the search for life beyond Earth. Since then, more than 5,500 exoplanets have been identified. Scientists believe there could be trillions more—and experts and amateurs alike are trying to locate them. How will the discovery of these new worlds shape scientists’s understanding of how the solar system (and life) evolved?

Alok Jha, The Economist’s science and technology editor, talks to Jessie Christiansen, lead scientist of the NASA Exoplanet Archive at the California Institute of Technology.

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An article from The Economist read aloud. Our science and technology section reports on the recent test flight of Elon Musk’s Starship. While the rocket failed to return to Earth, it’s a step nearer to the stars.


For more on Starship, check out our Babbage podcast from 2022 at economist.com/starship-pod.

What made AI models generative? In 2022, it seemed as though the much-anticipated AI revolution had finally arrived. Large language models swept the globe, and deepfakes were becoming ever more pervasive. Underneath it all were old algorithms that had been taught some new tricks. Suddenly, artificial intelligence seemed to have the skill of creativity. Generative AI had arrived and promised to transform…everything.

This is the final 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: Lindsay Bartholomew of the MIT Museum; Yoshua Bengio of the University of Montréal; Fei-Fei Li of Stanford University; Robert Ajemian and Greta Tuckute of MIT; Kyle Mahowald of the University of Texas at Austin; Daniel Glaser of London’s Institute of Philosophy; Abby Bertics, The Economist’s science correspondent.

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.

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What made AI take off? A decade ago many computer scientists were focused on building algorithms that would allow machines to see and recognise objects. In doing so they hit upon two innovations—big datasets and specialised computer chips—that quickly transformed the potential of artificial intelligence. How did the growth of the world wide web and the design of 3D arcade games create a turning point for AI?

This is the third 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: Fei-Fei Li of Stanford University; Robert Ajemian and Karthik Srinivasan of MIT; Kelly Clancy, author of “Playing with Reality”; Pietro Perona of the California Institute of Technology; Tom Standage, The Economist’s deputy editor.

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.

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.