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Babbage is The Economist’s weekly podcast on science and technology—named after Charles Babbage, the grandfather of computing. Explore the science changing the way we live from AI to genetics, particle physics and space travel with Alok Jha. This award-winning podcast features in-depth interviews with top scientists and special episodes investigating wellness trends. Published every Wednesday.
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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 2023Sign u...

Books are the original medium for communicating science to the masses. In a holiday special, producer Kunal Patel asks Babbage’s family of correspondents about the books that have inspired them in their careers as science journalists.Host: Alok Jha, The Economist’s science and technology editor. Contributors: Rachel Dobbs, The Economist’s climate correspondent; Kenneth Cukier, our deputy executive editor; The Economist’s Emilie Steinmark; Geoff Carr, our senior editor for science and technology; and Abby Bertics, The Economist’s science correspondent. Reading list: “The Periodic Table” by Primo Levi; “When We Cease to Understand the World” by Benjamín Labatut; “A Theory of Everyone” by Michael Muthukrishna; “Madame Curie” by Ève Curie; “Sociobiology” by E. O. Wilson; “The Selfish Gene” by Richard Dawkins; “Why Fish Don't Exist” by Lulu Miller; and “How Far the Light Reaches” by Sabrina Imbler.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.

A year ago, the public launch of ChatGPT took the world by storm and it was followed by many more generative artificial intelligence tools, all with remarkable, human-like abilities. Fears over the existential risks posed by AI have dominated the global conversation around the technology ever since. Fei-Fei Li, a pioneer that helped lay the groundwork that underpins modern generative AI models, takes a more nuanced approach. She’s pushing for a human-centred way of dealing with AI—treating it as a tool to help enhance—and not replace—humanity, while focussing on the pressing challenges of disinformation, bias and job disruption.Fei-Fei Li is the founding co-director of Stanford University’s Institute for Human-Centred Artificial Intelligence. Fei-Fei and her research group created ImageNet, a huge database of images that enabled computers scientists to build algorithms that were able to see and recognise objects in the real world. That endeavour also introduced the world to deep learning, a type of machine learning that is fundamental part of how large-language and image-creation models work.Host: Alok Jha, The Economist’s science and technology editor. 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.

In the coming decades, electric vehicles will dominate the roads and renewables will provide energy to homes. But for the green transition to be successful, unprecedented amounts of energy storage is needed. Batteries will be used everywhere—from powering electric vehicles, to providing electricity when the sun doesn’t shine or the wind doesn’t blow. The current generation of batteries are lacking in capacity and are too reliant on rare metals, though. Many analysts worry about material shortages. How can technology help? Host: Alok Jha, The Economist’s science and technology editor. Contributors: Paul Markillie, our innovation editor; Matthieu Favas, our finance correspondent; Anjani Trivedi, our global business correspondent. Sign up for Economist Podcasts+ now and get 50% off your subscription with our limited time offer. 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.

Babbage is our weekly podcast on science and technology, named after Charles Babbage—a 19th-century polymath and grandfather of computing. Host Alok Jha talks to our correspondents about the innovations, discoveries and gadgetry shaping the world. Published every Wednesday.