Babbage from The Economist

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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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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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.

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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. 

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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. 

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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.

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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. 

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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.

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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.

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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. 

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