During the pandemic, wastewater monitoring became a valuable tool in spotting covid-19 infection waves and the arrival of new variants. But sewage surveillance can help track the spread of all kinds of diseases—and measure a population’s consumption of everything from vegetables to cocaine. The Economist’s Gilead Amit examines how spying on sewage could offer health agencies an unprecedented insight into the lives of local populations, and considers the privacy concerns that could arise. Plus, we speak to the founder of a company that monitors wastewater to track the opioid crisis in America. Alok Jha hosts.
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Babbage: How snooping on sewage could save lives

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

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. 
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If you’re already a subscriber to The Economist, you’ll have full access to all our shows as part of your subscription. For more information about how to access Economist Podcasts+, please visit our FAQs page or watch our video explaining how to link your account.

Babbage: The science that built the AI revolution—part one

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.
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Babbage: The hunt for dark matter

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
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Babbage: Sam Altman and Satya Nadella on their vision for AI

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.

Babbage: How snooping on sewage could save lives

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