Babbage from The Economist

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

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. 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.

Good bosses are rare. They don’t have to be. The skills of management can be learned. The Economist’s management columnist, Andrew Palmer, is here to help. The second season of Boss Class features leaders at some of the world’s best performing companies, from Levi’s to Novo Nordisk to Google. New episodes are out weekly starting May 12th. 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.

A sophisticated, predatory, multi-billion dollar industry is emerging from the shadows. It already rivals the size of the illicit drug trade. And it’s about to get bigger and much more powerful. The Economist’s Sue-Lin Wong follows a trail that starts with the collapse of a bank in rural Kansas to uncover a global, underground scam economy built around human trafficking, corruption and money laundering. Can it be stopped? Coming soon. To listen to the full series subscribe to Economist Podcasts+.

Narendra Modi is one of the most popular politicians on the planet. India’s prime minister is eyeing a third term atop the world’s biggest democracy. A tea-seller’s son, Mr Modi began life an outsider and the man behind the political phenomenon remains hard to fathom. India has become an economic powerhouse during his ten years in charge. But he’s also the frontman for a chauvinistic Hindu nationalist dogma. Can Mr Modi continue to balance both parts of his agenda and finish the job of turning India into a superpower? The Economist’s Avantika Chilkoti finds out what makes him tick. Launching June 2024. To listen to the full series, subscribe to Economist Podcasts+. 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.

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

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.

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.

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.

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

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.

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.

Chronic pain is thought to affect around a third of people. For one in ten of these, the pain is severe enough to be disabling—making it the leading cause of disability worldwide. Some forms of chronic pain are particularly mysterious—with clinicians unable to treat the pain, nor understand its causal mechanisms—presenting a huge challenge for societies. How can this burden be eased, for both healthcare systems and the individuals living with pain? Host: Alok Jha, The Economist’s science and technology editor, with Gilead Amit, our science correspondent. Contributors: Catherine Charlwood, who lives with chronic pain; Francis Keefe, director of the Pain Prevention and Treatment Research Program at Duke University; Matt Evans, a clinical lecturer at Chelsea and Westminster Hospital and Imperial College London; Jan Vollert, a pain researcher at the University of Exeter. Sign up for Economist Podcasts+ now and get 50% off your subscription with our limited time offer. You will not be charged until Economist Podcasts+ launches. 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 Economist Podcasts+, including how to get access, please visit our FAQs page. Hosted on Acast. See acast.com/privacy for more information.

From roads to telecommunications, networks of infrastructure define people’s lives, but are often hidden from view. Our guest wants people to step back, look at and appreciate the infrastructure around them. As the climate changes and landscapes shift, societies need to prepare for an increasingly unpredictable world by building better infrastructure for a more effective, efficient and equitable future. Alok Jha, The Economist’s science and technology editor, interviews Deb Chachra, a materials science professor at Olin College of Engineering and the author of “How Infrastructure Works”, a new book about the intersection of technology and society. Sign up for Economist Podcasts+ now and get 50% off your subscription with our limited time offer. You will not be charged until Economist Podcasts+ launches. 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 Economist Podcasts+, including how to get access, please visit our FAQs page. Hosted on Acast. See acast.com/privacy for more information.

This year’s Nobel prizes in science recognised the former underdogs behind mRNA vaccines, how to watch electrons and a new class of material that could revolutionise both solar panels and cancer treatments. How have these achievements had an impact beyond the lab? Host: Alok Jha, The Economist’s science and technology editor. Contributors: Katalin Karikó and Drew Weissman, this year’s co-laureates in medicine or physiology; Jon Marangos, a professor of laser physics at Imperial College London; Judy Giordan, the president of the American Chemical Society; and Natasha Loder, The Economist’s health editor. Sign up for Economist Podcasts+ now and get 50% off your subscription with our limited time offer. You will not be charged until Economist Podcasts+ launches. 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 Economist Podcasts+, including how to get access, please visit our FAQs page. Hosted on Acast. See acast.com/privacy for more information.

How ageing happens and whether it can be slowed has recently become the subject of intense research and investment. Scientists are exploring differing approaches to reducing age-related deterioration, tech billionaires are experimenting with as-yet-unproven interventions. It is entirely possible that by 2100, people will typically live to be 100, thanks to a better understanding of the process of ageing. But is there a limit to how far human lives can be extended? Host: Alok Jha, The Economist’s science and technology editor. Contributors: Geoff Carr, The Economist’s senior editor (science and technology); Bryan Johnson, a tech entrepreneur and self-declared “rejuvenation athlete”; Paul Knoepfler, a professor in longevity at the University of California, Davis; Irina Conboy, a biotechnology professor at the University of California, Berkeley; Mike Conboy, a researcher at the University of California, Berkeley. Sign up for Economist Podcasts+ now and get 50% off your subscription with our limited time offer. You will not be charged until Economist Podcasts+ launches. 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 Economist Podcasts+, including how to get access, please visit our FAQs page. Hosted on Acast. See acast.com/privacy for more information.

Discussions about artificial intelligence tend to focus on its risks, but there is also excitement on the horizon. AI tools, like the models beneath ChatGPT, are being increasingly used by scientists for everything from finding new drugs and materials to predicting the shapes of proteins. Self-driving lab robots could take things even further towards making new discoveries. As it gets ever more useful, could AI change the scientific process altogether? Jane Dyson, structural biologist at the Scripps Research Institute in La Jolla, California, explains why Google DeepMind’s AlphaFold tool is useful, but scientists should be aware of its limitations. This week, Google DeepMind released a new tool to unpick the link between genes and disease, as Pushmeet Kohli, head of the company’s “AI for Science” team, explains. Also, Kunal Patel, one of our producers, meets Erik Bjurström, a researcher at Chalmers University of Technology and Ross King, a professor of Machine Intelligence at Chalmers University of Technology and at the University of Cambridge. They explain why self-driving lab robots could make research more efficient. Alok Jha, The Economist’s science and technology editor hosts, with Abby Bertics, our science correspondent and Tom Standage, deputy editor. Sign up for Economist Podcasts+ now and get 50% off your subscription with our limited time offer: economist.com/podcastsplus. You will not be charged until Economist Podcasts+ launches. 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 Economist Podcasts+, including how to get access, please visit our FAQs page. Hosted on Acast. See acast.com/privacy for more information.

Artificial intelligence and biotechnology are at the vanguard of a new era of humanity, according to Mustafa Suleyman. The entrepreneur has been at the forefront of AI development for over a decade and predicts that in the near future, everyone will have their own personal AI assistants that will plan and arrange tasks on their behalf. He also sees an acceleration in the pace of scientific discovery, with AI helping researchers tackle some of the world's grandest challenges—from climate change to famine. But these technologies also come with grave risks. In the hands of bad actors, disinformation could influence elections, or synthetic substances could be weaponised. This week, we explore how to develop the coming technologies responsibly, the hurdles that need to be overcome and how society should prepare for this new age of AI. Alok Jha, The Economist’s science and technology editor, hosts. Mustafa Suleyman is the founder of Inflection AI. He was also the co-founder of Google DeepMind. His latest book, “The Coming Wave”, explores how to navigate the opportunities and risks of fast-proliferating new technologies For full access to The Economist’s print, digital and audio editions subscribe at economist.com/podcastoffer and sign up for our weekly science newsletter at economist.com/simplyscience. Hosted on Acast. See acast.com/privacy for more information.