Babbage from The Economist

Disinformation—falsehoods that are intended to deceive—is on the rise. AI is making it easier to create deceptive content, while social media enables it to spread faster than ever before. With half the world’s population heading to polls in 2024, this presents a growing threat to democracy. There is a glimmer of hope, though. Scientists are starting to understand the technology and tactics behind disinformation campaigns, opening up new possibilities to fight them. Can countries and companies come together to fend off fake media? Host: Alok Jha, The Economist’s science and technology editor. Contributors: Tom Standage, The Economist’s deputy editor; Hollie Berman, a news editor at The Economist; Ainslie Johnstone, our data and science correspondent.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.

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.

Humans are master communicators. It’s the reason our species has become so successful. But if it's so innate to our behaviour, why do people so often mess it up? Author Charles Duhigg set out to answer this question in his new book “Supercommunicators”. He joins host Alok Jha to explain the psychology and neuroscience that shape human interaction—and the secrets of those who do it best. They also examine how conversations are changing in the digital age and whether AI can offer insights into the scientific understanding of how communication works.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.

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. 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.

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.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.

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.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 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. 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.

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.

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.

How do machines learn? Learning is fundamental to artificial intelligence. It’s how computers can recognise speech or identify objects in images. But how can networks of artificial neurons be deployed to find patterns in data, and what is the mathematics that makes it all possible?This is the second 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: Pulkit Agrawal and Gabe Margolis of MIT; Daniel Glaser, a neuroscientist at London’s Institute of Philosophy; Melanie Mitchell of the Santa Fe Institute; Anil Ananthaswamy, author of “Why Machines Learn”.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.

An article from The Economist read aloud. Our business section reports that brain-boosting substances are all the rage but their utility is debatable.

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.

Multiple sclerosis (MS) is a debilitating condition, affecting 1.8m people worldwide. It occurs when a patient’s immune system attacks the fatty tissue that insulates the nerve cells. In 2022, scientists identified the trigger for this reaction: Epstein-Barr virus (EBV), a common pathogen that causes glandular fever (the “kissing disease”). That discovery opened up new treatment options for MS and raises a tantalising question—could the disease one day be eliminated entirely with a vaccine?Host: Alok Jha, The Economist's science and technology editor. Contributors: Petros Iosifidis, who describes his experience living with MS; Evan Irving-Pease of the University of Copenhagen; Ruth Dobson of Queen Mary University of London; Jessica Durkee-Shock of the National Institutes of Health. 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.

An article from The Economist read aloud. The world needs more critical minerals for technologies like batteries, but we explain that governments are not doing enough to help mining companies. In this story, The Economist offers suggestions to help ease the energy transition.

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.

Centuries after the eruption of Mount Vesuvius entombed the Roman towns of Pompeii and Herculaneum, archaeologists have amassed hundreds of scrolls from an ancient library known as the “Villa of the Papyri”. The scrolls had been carbonised by the hot volcanic gases that had left them too damaged to unravel, let alone read. But artificial intelligence has come to the rescue. Computer scientists deciphered the first letters from the scrolls in 2023 and, more recently, entire paragraphs of text and could soon open a new window into the past for historians.Host: Alok Jha, The Economist’s science and technology editor. Contributors: Tom Standage, The Economist’s deputy editor; Luke Farritor, a computer scientist and Vesuvius challenge winner; Adrienne Mayor, a historian of science at Stanford University.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.

An article from The Economist read aloud. This week, our business correspondent looks at Vladimir Putin’s ambitious aims for artificial intelligence.

First-person view (FPV), drones are transforming the war in Ukraine. Built from repurposed racing drones, they are laden with explosives and used like precision-guided missiles. They are cheap and have been used to disable tanks and other battlefield equipment and even to chase soldiers into dugouts. Both Russia and Ukraine are rapidly scaling up production of these drones and the technology is not standing still either. Both sides are looking to incorporate artificial intelligence into their drones so that they can better-recognise and attack targets, even when they have been cut off from their pilots. FPV drones will change how wars are fought everywhere.Host: Alok Jha, The Economist’s science and technology editor. Contributors: Oleksii Asanov, founder of the KazhanFLY drone school in Kyiv; Ulrike Franke, senior fellow at the European Council on Foreign Relations; Samuel Bendett, a military analyst at the Centre for Naval Analysis; Shashank Joshi, The Economist’s defence editor and The Economist’s David Hambling.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.

The sheer scale and complexity of climate change can seem overwhelming. This week, therefore, we examine the topic from a different angle. Laurence Tubiana, a diplomat and climate policymaker, and Kim Stanley Robinson, author of “The Ministry for the Future,”  spoke to The Economist’s Oliver Morton to consider how science fiction can help us to stand back and imagine possible futures, as a way to inform the present. Hosted by 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.

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