Babbage from Economist Radio

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 may well be the most popular politician 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. Hosted on Acast. See acast.com/privacy for more information.

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.

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 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.

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

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

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

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-babbage. 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 technologiesFor 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.

Some sports use different rules and equipment in the women's game; some do not. We consider the distinction through the lenses of professional football and rugby. Scientific questions of relative performance lead to those of player safety, and ultimately to philosophy: what do varying opinions about changing women's game reveal about the purpose of sport in society?Arve Vorland Pedersen, a sports scientist at the Norwegian University of Science and Technology, calculates how football's pitches and equipment might scale to account for physiological differences. Ross Tucker, a consultant for World Rugby, describes how a trial of a smaller ball might change the game's mechanics. Lauren Heria, a professional footballer, explains why such meddling is seen as disrespectful by many players. And Emelia Funnell, a researcher at Ida Sports, reveals why ignorance about ACL injuries among women traces back to male cadavers. Host Alok Jha, The Economist's science and technology editor, is joined by Abby Bertics, our science correspondent (and a former professional volleyball player).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.

Extreme weather is constantly in the news, but a new factor is just getting warmed up: El Niño. This Pacific Ocean phenomenon can have devastating effects in some parts of the world while benefiting others; it is linked to droughts as well as floods; and this year's looks like it may be severe.Maarten van Aalst, a professor of climate and disaster resilience at the University of Twente, explains how the current El Niño will affect the climate in unpredictable ways. Chris Funk, the director of the Climate Hazards Center at the University of California Santa Barbara, looks at global effects that are already under way. Plus, the harrowing tale of Jack Egan, who lost his home to bushfires in Australia during the last El Niño event. Catherine Brahic, The Economist's environment editor, and our correspondent Rachel Dobbs consider how prepared countries are for this event. Alok Jha, The Economist's science and technology editor, hosts.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.

While some people enjoy learning maths, the subject haunts many children throughout school and beyond. But it doesn't have to be that way. Eugenia Cheng, a mathematician and author of “Is Maths Real?”, explains why, to her, maths is a joyful enterprise. In this interview with Alok Jha, The Economist's science and technology editor, Eugenia explores how asking seemingly simple questions can uncover deep mysteries beneath the sums. She also argues that education systems should rethink the way that the subject is taught, to encourage curiosity and creativity.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.

In the coming days, both Russia and India hope to land robotic probes near the South Pole of the Moon. Conquering the South Pole remains one of the grandest challenges in lunar science, but it's a potentially rewarding endeavour. If evidence of water is found it will make human settlements much more likely. But the significance of the missions racing for the Moon, Luna-25 and Chandrayaan-3, go beyond science. Russia's space agency has become isolated after the country's invasion of Ukraine, while India's space agency seeks to raise its profile. In an increasingly polarised world, is there any hope for an international agreement on humanity's use of the Moon?Sam Dayala, a former director at the Indian Institute of Space Science and Technology and India's space agency, explains the aims of Chandrayaan-3. Simeon Barber, a planetary scientist at the Open University who works with the European Space Agency, discusses Russia's Luna missions and why his drilling package has been removed from the Luna-27 probe. Natan Eismont of the Russian Academy of Sciences explains his desire for renewed global collaboration, despite the political backdrop. Plus, Asif Siddiqi of Fordham University and Raji Rajagopalan of the Observer Research Foundation, reflect on the stakes if a consensus on the use of the Moon isn't agreed internationally. Gilead Amit, The Economist's science correspondent, hosts, with Oliver Morton, a senior editor at The Economist.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.

Attending a science festival or an exhibition can be an exciting day out, while also being hugely informative. Natasha Loder, The Economist's health editor visits the Royal Society's summer exhibition to play with both the simple and cutting-edge technologies that have potential for healthcare. Natasha asks Clem Burke, drummer of the rock band Blondie, and Marcus Smith of the University of Chichester how drumming can help children with autism. Natasha also meets Lorenzo Picinali, of Imperial College London, who explains why creating audio that feels three-dimensional could be useful for people with sensory impairment. Plus, Sumeet Mahajan of the University of Southampton demonstrates how technology used in NASA's Mars rover can be applied to the early detection of diseases. Gilead Amit, The Economist's science correspondent, hosts. 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.

Natural history auctions are on the rise and are generating millions of dollars for private fossil hunters, but the commercialisation of ancient bones is worrying some palaeontologists. They argue that specimens sold privately are lost to science. Yet others say that by disincentivising the black market and encouraging more enthusiasts to search for rare finds, fossil auctions could improve the scientific understanding of ancient reptiles. The Economist's Dylan Barry explores the Natural History Museum's fossil collection in London, with Paul Barrett, a palaeontologist. Dylan also chats to the “dinosaur cowboy”, Clayton Phipps, a commercial fossil prospector, about his discovery of the “duelling dinosaurs” and how ranchers benefit from finding dinosaur bones. Plus, Cassandra Hatton, the vice president and head of natural history of Sotheby's, an auction house, argues that auctioneers and palaeontologists should see each other as being on the same side. Kenneth Cukier hosts.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.

In recent weeks, extreme heat, floods and storms have smashed records and caused devastation around the world. Freak weather events such as these will become more frequent due to climate change—but they are exceptionally hard to predict. How are meteorologists gearing up to face the enormous challenge of predicting the weather in a warming world? Andrew Charlton-Perez, at the University of Reading in Britain, explains how weather forecasts are made—and why meteorology is such a complicated science. The Economist's Rachel Dobbs investigates the next frontiers in forecasting. She asks Sam Levang, the chief scientist at Salient Predictions, how artificial intelligence can play a role in improving predictions of the weather. Rachel also visits the European Centre for Medium-Range Weather Forecasts's data centre in Bologna, Italy, to understand how a combination of technological approaches will be required to make weather forecasting fit for the 21st century. Alok Jha, The Economist's science and technology editor, hosts.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.

How much science do you remember from school? Do you know how a simple electric motor works, or what the Doppler effect is?  Basic physics is taught early in schools, but is easily forgotten. To learn some basic science, we travel this week to the Royal Institution (RI) in London, one of the world's oldest and established venues for scientific education and research. It hosts the annual Christmas lectures, which have cemented its reputation for demonstrations of how science works. Good demonstrations can play a big role in making abstract science concepts come alive. Alok Jha, The Economist's science and technology editor, meets author and physics teacher Alom Shaha at the RI for some summer science lessons. Alok speaks to Dan Plane, head of Demonstrations at the RI, about the institution's history and the importance of making science fun and accessible. Alom also leads Alok through a few science demos to explore some key concepts taught in schools today. 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.

As the effects of climate change are increasingly being felt around the world, the need to transition away from fossil fuels is becoming more urgent. An electrified world requires more batteries, which in turn means the demand for metals, such as nickel, is rising. Mining those metals can often have devastating consequences for ecosystems, destroying and polluting vast landscapes. But there is another way to get these metals—from the floor of the Pacific Ocean. an area over 4km below the ocean's surface offers an alternative. The companies proposing to harvest these metals argue that mining the deep sea would be less environmentally damaging than land-based mining. But many ecologists disagree. The Economist's Hal Hodson explores the diversity of deep-sea ecology by visiting Adrain Glover's lab at the Natural History Museum in London. Gerard Barron, the boss of The Metals Company, outlines the case for mining the ocean floor. Lisa Levin of Scripps Institution of Oceanography and Anna Metaxas, an oceanographer at Dalhousie University, share their concerns over the lack of evidence of the impact of deep-sea mining. Plus, Sue-Lin Wong, The Economist's South East Asia correspondent, reports on the destruction that traditional land-based mining in Indonesia causes to the country's rainforests. Alok Jha, The Economist's science and technology editor, hosts.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.

Almost 50 years ago, Vint Cerf and Bob Kahn designed TCP/IP, a set of rules enabling computers to connect and communicate with each other. It led to the creation of a vast global network: the internet. TCP/IP is how almost the entirety of the internet still sends and receives information. Vint Cerf is now 80 and serves as the chief internet evangelist and a vice president at Google. He is also the chairman of the Marconi Society, a group that promotes digital equity.Alok Jha, The Economist's science and technology editor, asks Vint to reflect on the state of the internet today and the lessons that should be learned for the next, disruptive technology: generative artificial intelligence. Vint Cerf explains how he thinks large language models can be regulated without stifling innovation—ie, more precisely based on their specific applications.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.

Same-sex attraction is found in many animals—but, like all animal behaviours, it can be complicated and difficult to study. The underlying biological mechanisms, however, are of great interest for understanding human health, genetics and evolution. Researchers know there is no such thing as a “gay gene”; in fact genetics can explain less than a third of the variation in people's self-reported same-sex behaviour. Non-genetic factors, therefore, play an enormous role. Scientists can't agree on exactly what those factors are, though.Abby Bertics, The Economist's science correspondent, visits a Royal Society conference in Cookham on the genetics and evolution of same-sex attraction, to meet some of the researchers applying scientific rigour to these intriguing questions. Lisa Diamond, a psychologist at the University of Utah, explores some of the theories related to brain development in babies. Robbee Wedow, a sociologist at Purdue University, and Andrea Ganna, a data scientist at the University of Helsinki, explain how genomic studies are changing the focus of research into same-sex attraction. Plus, Qazi Rahman, a psychologist at King's College London, explains why investigating same-sex attraction should be of broad interest to everyone. Alok Jha, The Economist's science and technology editor, hosts.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.

The Biden administration is expected to declassify some information gathered on the origin of the SARS-CoV-2 virus, hoping to end a three-year battle over whether covid-19 came from a seafood market or a laboratory in Wuhan, China. Some scientists say they have strong evidence for a market origin—although many are far from convinced. Will this mystery ever be solved? Natasha Loder, The Economist's health editor, asks James Wood, an epidemiologist at the University of Cambridge, how to trace a virus back to its source—and why interpreting the patchy data is so complicated. Plus, Alison Young, the author of “Pandora's Gamble” explains the implications of this investigation on laboratory safety. Alok Jha, The Economist's science and technology editor, hosts. We would love to hear from you. Please fill out our updated listener survey at economist.com/podcastsurvey.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.

Fish are a vital source of protein and other nutrients for humans, as well as an important part of the ocean's ecology. But overfishing has become a crisis. It is estimated that 90 percent of the world's fisheries are being fished either at or over their capacity, while some species have been driven to extinction. Can an innovative farming method, which grows fish on dry land, solve the problem?Abby Bertics, The Economist's science correspondent, investigates. Tackling overfishing is a problem that needs to be solved in the ocean but also by using aquaculture, according to George Clark of the Marine Stewardship Council. At a small shrimp farm in California, Steve Sutton, the boss of TransparentSea, explains how recirculating aquaculture systems (RAS) work. John Sällebrant, Salten Smolt's production manager shows how RAS can be scaled-up at a Norwegian salmon farm. Plus, Matt Craze, a consultant at Spheric Research, and David Cahill of Pure Salmon, explore the future of fish farming. Alok Jha, The Economist's science and technology editor, hosts. 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.

Many of the world's most important urban areas are on coastlines or rivers, putting them at risk of rising sea levels. Rapid urbanisation and climate change are conspiring to make this threat more urgent. How can cities adapt to avoid catastrophe? The Economist's Benjamin Sutherland explores how well new flood defences work in Venice and why Venetians are pondering raising the city's foundations. Alizée Jean-Baptiste, The Economist's Asia podcast producer, visits Jakarta, to investigate why Indonesia's government is choosing to build an entirely new capital city, in a new location, in their attempt to adapt to future flooding. Plus, Catherine Brahic, our environment editor, explores the political and economic considerations needed to save cities. Alok Jha, The Economist's science and technology editor, hosts.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.

Recent years have seen a boom in biometric security systems—identification measures based on a person's individual biology—from unlocking smartphones, to automating border controls. As this technology becomes more prevalent, some cybersecurity researchers are worried about how secure biometric data is—and the risk of spoofs. If generative AI becomes so powerful and easy-to-use that deepfake audio and video could hack into our security systems, what can be done? Bruce Schneier, a security technologist at Harvard University and the author of “A Hacker's Mind”, explores the cybersecurity risks associated with biometrics, and Matthias Marx, a security researcher, discusses the consequences of bad actors obtaining personal data. If artificial intelligence could overcome security systems, human implants may be used as authentication, according to Katina Michael, a professor at Arizona State University. Plus, Joseph Lindley, a design academic at Lancaster University, proposes how security systems can be better designed to avoid vulnerabilities. To think about practical solutions, Scott Shapiro, professor at Yale Law School and author of “Fancy Bear Goes Phishing”, puts generative AI into the wider context of cybersecurity. Finally, Tim Cross, The Economist's deputy science editor, weighs up the real-world implications of our thought experiment. Kenneth Cukier hosts.Learn more about detecting deepfakes at economist.com/detecting-deepfakes-pod, or listen to all of our generative AI coverage at economist.com/AI-pods.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.

Clinical trials are the gold standard for testing the safety and efficacy of a treatment or drug, and a keystone in modern medicine. But their grinding timelines and skyrocketing price tags are hindering development and, ultimately, costing lives.Natasha Loder, The Economist's health editor, asks Sir Martin Landray, the boss of Protas, a clinical-trial organisation, what can be learned from his pioneering RECOVERY covid-19 trial. Euan Ashley, a cardiologist at Stanford University, explains how to use wearable technology to conduct wholly digital clinical trials. Plus, Alejandro Frangi of the University of Leeds says virtual clinical trials that use computers to model medical interventions can save time and money. Alok Jha, The Economist's science and technology editor, hosts.We would love to hear from you. Please fill out our listener survey at economist.com/babbagesurvey.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.

Antimicrobial resistance killed over a million people in 2019. That figure is expected to rise to ten million by 2050. Antibiotics remain vital to modern medicine, but this hidden pandemic of drug-resistant superbugs is driving scientists to explore possible alternatives. One type of therapy in particular is attracting serious scientific interest: bacteriophages. Phages are viruses that can destroy bacteria. In the 1920s, phage therapies were used widely against infections, but much of the world abandoned the idea following the discovery of penicillin. Some parts of the former Soviet Union, though, have continued to use phage therapies. What can governments and international companies learn from this medicine?Gilead Amit, The Economist's science correspondent, travels to the Eliava Institute in Tbilisi, Georgia to find out how phage therapies have been used there over the last century. He speaks to the director, Mzia Kutateladze, head of phage production, Vakho Pavlenishvili, and from the therapy centre: Davit Sturia, Lia Nadareishvili and Lana Abesadze. Barry Rud, a Canadian patient attending the clinic, discusses his experience. Steffanie Strathdee, who leads phage research at the University of California, San Diego, explains the renewed international interest in bacteriophages. Alok Jha, The Economist's science and technology editor, hosts.We would love to hear from you. Please fill out our listener survey at economist.com/babbagesurvey.The Economist is also seeking applications for the 2023 Richard Casement internship. The successful candidate will spend three months with us in London writing about science and technology. More details here: economist.com/casement2023.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.

The use of drones in the war in Ukraine has been increasing. Unmanned vehicles capture battlefield images, relay co-ordinates, and strike targets in Ukraine and even Russia. Whether purpose-built military devices or off-the-shelf civilian technology, the drones are having an outsized impact. How are they influencing battles? And what do they mean for the future of warfare?Oliver Carroll, our correspondent in Ukraine, explores the purpose and effectiveness of drones in the war. Ulrike Franke of the European Council on Foreign Relations explains the potential that drone technology offers to armies. Plus, The Economist's Benjamin Sutherland travels to Kyiv, to investigate how engineers in underground workshops are tinkering with consumer drones and turning them into military machines. Alok Jha, The Economist's science and technology editor, hosts. If you love Babbage, why not work with us? We're hiring for an Assistant Audio Producer to work on the show. Apply by May 15th.The Economist is also seeking applications for the 2023 Richard Casement internship. The successful candidate will spend three months with us in London writing about science and technology. More details here: economist.com/casement2023.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.

The vast majority of the energy used on Earth comes from fossil fuels. But as governments enact climate-friendly policies, electric grids need to be decarbonised, by using renewable-energy sources. And much more electricity needs to be generated too—to power transport, homes and heavy industry. Despite its urgency, redesigning electric grids is both a political and technological challenge. How can such a revolution happen?Host Kenneth Cukier explores the mechanics of how electric grids work and how to upgrade them with The Economist's Hal Hodson. Hal travels to Drax, a power station in the north of England, to visualise this supersized circuit with Bruce Heppenstall, the plant's director. Plus, Hal asks Gerhard Salge, the chief technology officer of Hitachi Energy, how the latest generation of high voltage direct current cables will transform energy systems.If you love Babbage, why not work with us? We're hiring for an Assistant Audio Producer to work on the show. Apply by May 15th.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.

Since the launch of OpenAI's ChatGPT almost six months ago, little else has occupied the minds of technologists. Generative artificial intelligence—capable of producing media like text, images and audio in response to prompts—seems to be improving every day, with many technology companies developing and releasing their own competing systems.As the AI revolution accelerates, the technology is being used in ever more creative ways, companies are discovering its potential, causing unease among many content-creators and white-collar professionals, whose jobs seem to be at risk. The story of automation changing the world of work is not a new one. But the speed, the visibility and the hype surrounding generative AI can seem alarming. How worrying is it?The Economist's Abby Bertics and Arjun Ramani explain how large language models work, the risk posed by the technology—and what to do about it. Callum Williams, our senior economics writer, ponders the potential for economic disruption as generative AI enters the workplace. Plus, Tom Standage, The Economist's deputy editor explores the question of regulating this emerging technology without hindering innovation. Kenneth Cukier hosts.Listen to all of our coverage of the artificial intelligence revolution at economist.com/AI-pods. If you love Babbage, why not work with us? We're hiring for an Assistant Audio Producer to work on the show. Apply by May 15th. Hosted on Acast. See acast.com/privacy for more information.

Twenty years ago, the Human Genome Project was completed. It unveiled a mostly complete sequence of the 3 billion pairs of building blocks that make up the code within every set of human chromosomes. These are the instructions that create humans. Almost all of human biology research uses the Human Genome Project's findings in some way, from understanding why some people are more likely to develop diseases than others, to uncovering the secrets of our ancestors and evolution. But for genomics to become a part of everyday medicine, paving the way for personalised medicines, the hard work is still ahead.Natasha Loder, The Economist's health editor and Geoff Carr, our senior editor for science and technology, reflect on the completion of the Human Genome Project in the early 2000s and the gaps that still remain. Natasha also visits the Wellcome Sanger Institute, to explore the next frontiers for genomics in medicine—she meets the outgoing director, Mike Stratton; the incoming director, Matt Hurles; and the boss of the European Bioinformatics Institute, Ewan Birney. Plus, Mathew Davies, an engineer at the Sanger Institute, and his team, discuss the challenges with storing and processing vast amounts of sequencing data. Alok Jha, The Economist's science and technology editor, hosts.To dive deeper on genomics, find our recent episode from the Third International Summit on Human Genome Editing, or explore the power of gene therapies, and also an explainer on how genomic sequencing works.If you love Babbage, why not work with us? We're hiring for an Assistant Audio Producer to work on the show. Apply by May 15th.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.

This week, the European Space Agency is expected to launch a spacecraft towards Jupiter and three of its icy moons—Ganymede, Europa and Callisto. The JUICE mission will carry ten instruments to the outer solar system and will hunt for water, a heat source and organic material—the ingredients that scientists think are needed for life. It is hoped the results that come from JUICE, and a similar NASA mission, Europa Clipper, will give us scientists a clearer view of whether life exists beyond planet Earth. Tim Cross, The Economist's deputy science editor, explains why missions to the Jovian system represent a shift away from Mars, to hunt for extraterrestrial life. Plus, Jason Hosken, our producer, visits Imperial College London to find out how the JUICE magnetometer works, with engineers Patrick Brown and Richard Baughen. He also asks Michele Dougherty, the instrument's principal investigator, about the mission's scientific aims. Alok Jha, The Economist's science and technology editor, hosts.This is the second episode on the grand scientific quest to search for life beyond Earth. Last week, we asked exoplanet hunter and Nobel laureate, Didier Queloz, how to start answering one of the universe's most intriguing questions. Listen at economist.com/queloz-pod or on your podcast app.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.

As they stare up into the night sky, astronomers have long wondered whether life exists elsewhere in the universe. For decades, the hunt for extraterrestrial life has focused on Mars, Venus and even on the various moons of our solar system. But in 1995, that search entered a new phase, when Didier Queloz and Michel Mayor found the first clear evidence of a planet orbiting another star: 51 Pegasi b. Since then, more than 5,000 exoplanets have been found. This week, Alok Jha asks Nobel laureate Dider Queloz, how the “exoplanet revolution” has influenced the search for life elsewhere.Dider Queloz is the founding director of the Center for the Origin and Prevalence of Life at ETH Zurich and the director of the Leverhulme Centre for Life in the Universe at the University of Cambridge. We also hear from Emily Mitchell, the co-director of the Leverhulme Centre, on what an international collaboration of scientists called the “Origins Federation” has set out to study. Alok Jha, The Economist's science and technology editor, hosts.This is the first of two episodes on the grand scientific quest to search for life beyond Earth. Next time, we'll explore the European Space Agency's mission to Jupiter's icy moons: JUICE.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.

Imagine a power source that produces hardly any waste and is carbon-free. That's the tantalising promise of controlled nuclear fusion, which physicists have been trying to achieve for 70 years. It is a simulacrum of the process that powers the sun, colliding atomic nuclei of various sorts to release huge amounts of energy. Fusion research was once the provenance of governments and national laboratories, but now private companies are getting in on the act. Dozens of them are exploring different ways to create the extreme conditions needed to achieve fusion here on Earth. And, contrary to the old joke that fusion power is thirty years away, and always will be, some of them think they can get there in a decade.Fernanda Rimini, an experimental fusion scientist with the UK Atomic Energy Authority, explains how nuclear fusion works. Geoff Carr, The Economist's science and technology editor, explores why fusion is coming back into fashion for private companies. Geoff also speaks to Bob Mumgaard of Commonwealth Fusion Systems, Warrick Matthews of Tokamak Energy and Nick Hawker of First Light Fusion. Plus, Stephen Cowley, the director of the Princeton Plasma Physics Laboratory assesses how helpful the latest private fusion ventures are in advancing the field. Alok Jha hosts. Hosted on Acast. See acast.com/privacy for more information.

OpenAI's Chat GPT, an advanced chatbot, has taken the world by storm, amassing over 100 million monthly active users and exhibiting unprecedented capabilities. From crafting essays and fiction to designing websites and writing code. You'd be forgiven for thinking there's little it can't do. Now it's had an upgrade. GPT-4 has even more incredible abilities, it can take in photos as an input, and deliver smoother, more natural writing to the user. But it also hallucinates, throws up false answers, and remains unable to reference any world events that happened after September 2021.Seeking to get under the hood of the Large Language Model that operates GPT-4, host Alok Jha speaks with Maria Laikata, a professor in Natural Language Processing at Queen Mary's university in London. We put the technology through its paces with the economist's tech-guru Ludwig Seigele, and even run it through something like a Turing Test to give an idea of whether it could pass for human-level-intelligence. An Artificial General Intelligence is the ultimate goal of AI research, so how significant will GPT-4 and similar technologies be in the grand scheme of machine intelligence? Not very, suggests Gary Marcus, expert in both AI and human intelligence, though they will impact all of our lives both in good and bad ways. 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.

A new class of drugs for weight loss have become available and are showing promising results. That's welcome news, as a recent report estimates that half of the world's population is expected to be overweight or obese by 2035. Obesity is a disease which can lead to serious health complications–and most previous attempts at treating it have proven futile. Can the new weight-loss drugs turn the tide against this global threat?Louise Baur, president of the World Obesity Federation crunches the numbers on the global impact of overweight and obesity. Stephan Guyenet, a neurobiologist and author of “The Hungry Brain”, explains the neurological and genetic factors that influence weight gain. Chris van Tulleken, an infectious diseases doctor at University College London and author of the upcoming book “Ultra-Processed People”, explores how the modern diet is contributing to the obesity epidemic–and other health problems. Plus, host Alok Jha asks Natasha Loder, The Economist's health editor, how important the new skinny jabs are in the fight against obesity.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.