A podcast about the automation of everything. Host Jennifer Strong and the team at MIT Technology Review look at what it means to entrust artificial intelligence with our most sensitive decisions.
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Large language models can do jaw-dropping things. But nobody knows exactly why.
Despite all their runaway success, nobody knows exactly how—or why—large language models work. And that’s a problem. Figuring it out is one of the biggest scientific puzzles of our time and a crucial step towards controlling more powerful future models. This story was written by senior AI editor Will Douglas Heaven and narrated by Noa ((News Over Audio), an app offering you professionally-read articles from the world’s best publications.
How ASML took over the chipmaking chessboard
Moore’s Law holds that the number of transistors on an integrated circuit doubles every two years or so. In essence, it means that chipmakers are always trying to shrink the transistors on a microchip in order to pack more of them in. The cadence has been increasingly hard to maintain now that transistor dimensions measure in a few nanometers. In recent years ASML’s machines have kept Moore’s Law from sputtering out. Today, they are the only ones in the world capable of producing circuitry at the density needed to keep chipmakers roughly on track. Martin Van den Brink is the outgoing co-president and CTO of ASML. He joined the Dutch company in 1984 when it was founded and has played a major role in guiding it to it current dominant position. He explains to MIT Technology Review how the company overtook its competition and how it can stay ahead. MIT Technology Review articles are narrated by Noa (News Over Audio), an app offering you professionally-read articles from the world’s best publications. To stay ‘truly’ informed on Science & Technology, Business & Investing, Current Affairs & Politics, and much more, download the Noa app or visit newsoveraudio.com.
Minds of machines: The great AI consciousness conundrum
AI consciousness isn’t just a devilishly tricky intellectual puzzle; it’s a morally weighty problem with potentially dire consequences. Fail to identify a conscious AI, and you might unintentionally subjugate, or even torture, a being whose interests ought to matter. Mistake an unconscious AI for a conscious one, and you risk compromising human safety and happiness for the sake of an unthinking, unfeeling hunk of silicon and code. Philosophers, cognitive scientists, and engineers are grappling with what it would take for AI to achieve consciousness—and whether it's even possible. This story was written by Grace Huckins and narrated by NOA.
That's a wrap!
Three years ago this week we launched this podcast on a mission to show the world how AI touches our everyday lives. It's been our great honor and privilege to make it through three seasons, a global pandemic, an unbelievable nineteen (19!!) award nominations, and a whole lot of tests and demos. Goodbyes are very hard to say, so instead we'll leave you with some of the show's highlights and an invitation to follow us as we continue our journey with a new show coming this fall called SHIFT - sign up for updates at shiftshow.ai Credits: This series was created by Jennifer Strong and Emma Cillekens with the support of Gideon Lichfield and Michael Reilly. Its producers have been Emma Cillekens and Anthony Green. The editors have included Gideon Lichfield, Michael Reilly and Mat Honan with support from Karen Hao and Tate Ryan Mosley. You can thank Garret Lang and Jacob Gorski for the original music and excellent sound design. The weekly art was from Stephanie Arnett with album art from Eric Mongeon. Thanks for listening.
When AI hears a problem
Hidden away in our voices are signals that may hold clues to how we’re doing, what we’re feeling and even what’s going on with our physical health. Now, AI systems tasked with analyzing these signals are moving into healthcare. We meet: Lina Lakoczky-Torres, student at Menlo College Angela Schmiede, Vice President of Menlo College. Grace Chang, CEO of Kintsugi David Liu, CEO of Sonde Health Liam Kaufman, former CEO of Winterlight Labs. Margaret Mitchell, Chief Ethics Scientist of Hugging Face Bjoern Schuller, professor of artificial intelligence at Imperial College London Credits: This episode was reported by Hilke Schellmann, produced by Jennifer Strong, Emma Cillekens and Anthony Green, edited by Mat Honan and mixed by Garret Lang with original music by Garret Lang and Jacob Gorski. Artwork by Stephanie Arnett. Special thanks to the Knight Science folks at MIT for their support with this reporting.
Encore: Harvesting the future with AI and satellites
AI is used in farming in some ways you might not expect, like for tracking the health of crops—from space. We travel from test farms to labs in the second installment of our series on agriculture, AI, and satellites. We Meet: Joseph Liefer, senior product manager of autonomy at John Deere Julian Sanchez, director of emerging technology at John Deere Shely Aranov, CEO of InnerPlant Rod Kumimoto, CSO of InnerPlant Credits: This episode was reported and produced by Jennifer Strong, Emma Cillekens and Anthony Green. It was edited by Mat Honan, and mixed by Garret Lang, with original music by Garret Lang and Jacob Gorski. Artwork by Stephanie Arnett.
Live: A conversation with Geoffrey Hinton
In this special episode we bring you a live taping between the "Godfather of AI" Geoffrey Hinton and MIT Technology Review's Senior Editor for AI Will Douglas Heaven. This conversation was recorded at EmTech Digital, our signature AI event, in the MIT Media Lab. Credits: This episode was recorded in front of a live audience in Cambridge, Massachusetts with special thanks to Will Douglas Heaven, Amy Lammers and Brian Bryson. It was produced by Jennifer Strong and Emma Cillekens, directed by Erin Underwood, and edited by Mat Honan.
Live: The Chip War
This episode, we get an insider's look at the ongoing chip war from the person who wrote the book on it, Chris Miller, professor at Tufts University and the author of Chip War. Join us for a live conversation from the MIT Media Lab at Tech Review’s Future Compute conference. Credits: This episode was recorded and produced by Jennifer Strong with help from Emma Cillekens and Anthony Green. We’re edited by Mat Honan and mixed by Garret Lang, with original music from Garret Lang and Jacob Gorski. Artwork from Stephanie Arnett.
I Was There When: AI reached a crossroads
I Was There When is an oral history project that’s part of the In Machines We Trust podcast. It features stories of how breakthroughs and watershed moments in artificial intelligence and computing happened, as told by the people who witnessed them. In this episode we meet Cognitive Scientist Gary Marcus. CREDITS: This project was produced by Jennifer Strong, Emma Cillekens, and Anthony Green. It was edited by Mat Honan and mixed by Garret Lang with original music by Jacob Gorski. The art is from Eric Mongeon and Stephanie Arnett. It was recorded at the TED Conference in Vancouver, Canada. LINKS: https://blog.ted.com/the-astounding-new-era-of-ai-notes-on-session-2-of-ted2023/ https://www.technologyreview.com/topic/artificial-intelligence/ https://podcasts.apple.com/us/podcast/humans-vs-machines-with-gary-marcus/id1532110146
When AI watches the streets
The term ‘smart city’ paints a picture of a tech-enabled oasis—powered by sensors of all kinds. But we’re starting to recognize what all these tools might mean for privacy. In this episode, we meet a researcher studying how this is being applied in Iran and visit one of the nation’s top smart cities, to learn how its efforts there have evolved over time. We Meet: University of Oxford and Article19 Human Rights Researcher Mahsa Alimardani City of Las Vegas Chief Innovation Officer Michael Sherwood City of Hope Director of Campus Support Operations Mark Reed Sounds: How will artificial intelligence change the cities we live in? - BBC Ideas via YouTube https://www.youtube.com/watch?v=UXxyCBimRyM ‘Smart’ cities promise economic and environmental benefits to the developing world - CBC News via YouTube https://www.youtube.com/watch?v=u08A7yiTmu4 Singapore is building a city in China - CNBC via YouTube https://www.youtube.com/watch?v=iP11XeIV1ZA Global Smart Cities - The China Current via YouTube https://www.youtube.com/watch?v=-qmiqHWD6Uc Footage appears to show Iranian riot police confronting students at university in Tehran - The Guardian via YouTube https://www.youtube.com/watch?v=BgQshPJohmg China: facial recognition and state control - The Economist via YouTube https://www.youtube.com/watch?v=lH2gMNrUuEY Facial recognition: Concerns over China's widespread surveillance https://www.youtube.com/watch?v=CT6KEy_QXvM Credits: This episode was reported and produced by Jennifer Strong and Anthony Green with help from Emma Cillekens. It was edited by Mat Honan, and mixed by Garret Lang, with original music by Garret Lang and Jacob Gorski. Artwork by Stephanie Arnett.
Concerning AI ethics
The best definitions of AI are vague, largely lack consensus and represent a huge challenge for lawmakers and legal scholars looking to regulate it. But back to back breakthroughs and rapid adoption of generative AI tools are making it feel a lot more real to everybody else. We examine how it’s possible that alone might be enough to push conversations about ethics further into focus. We Meet: MIT Technology Review Senior AI Reporter Melissa Heikkilä Mozilla President Mark Surman IBM Chief Privacy Officer Christina Montgomery United Nations AI Advisor Neil Sahota Sounds: Advances in artificial intelligence raise new ethics concerns - PBS NewsHour via YouTube https://youtu.be/l5nTlHeqYOQ He loves artificial intelligence. Hear why he is issuing a warning about ChatGPT - CNN via YouTube https://youtu.be/THJysHMi81c Credits: This episode was reported and produced by Jennifer Strong and Anthony Green with help from Emma Cillekens and Melissa Heikkilä. It was edited by Mat Honan, and mixed by Garret Lang, with original music by Garret Lang and Jacob Gorski. Artwork by Stephanie Arnett.
Generating creativity
This episode we meet people building next generation tools for creativity who are thinking about how these AI models should be trained and deployed in order to be both useful and fair to artists. We hear from: Artist Holly Herndon Adobe Digital Services CTO Ely Greenfield Soundful CEO Diaa El All Credits: This episode was produced by Anthony Green with help from Emma Cillekens. It was edited by Jennifer Strong and Mat Honan, mixed by Garret Lang, with original music from Jacob Gorski.
Encore: AI births digital humans
We're so excited this episode has been selected as a New York Festivals finalist! Please enjoy this encore edition and we'll see you back next week! Digital twins of humans capture the physical look and expressions of real humans. Increasingly these replicas are showing up in the entertainment industry and beyond and it gives rise to some interesting opportunities as well as thorny questions. We speak to: Greg Cross, CEO and co-founder of Soul Machines Credits: This episode was produced by Anthony Green with help from Emma Cillekens. It was edited by Jennifer Strong and Mat Honan, mixed by Garret Lang, with original music from Jacob Gorski.
I Was There When: Robots Learned to Run
I Was There When is an oral history project that’s part of the In Machines We Trust podcast. It features stories of how breakthroughs and watershed moments in artificial intelligence and computing happened, as told by the people who witnessed them. In this episode we meet Marc Raibert, the founder and chairman of Boston Dynamics. CREDITS: This project was produced by Jennifer Strong, Anthony Green and Emma Cillekens. It was edited by Michael Reilly and mixed by Garret Lang, with original music by Jacob Gorski. Artwork by Eric Mongeon.
The AI of the beholder
Computers are ranking the way people look—and the results are influencing the things we do, the posts we see, and the way we think. Ideas about what constitutes “beauty” are complex, subjective, and by no means limited to physical appearances. Elusive though it is, everyone wants more of it. That means big business and increasingly, people harnessing algorithms to create their ideal selves in the digital and, sometimes, physical worlds. In this episode, we explore the popularity of beauty filters, and sit down with someone who’s convinced his software will show you just how to nip and tuck your way to a better life. Reporting links: https://www.technologyreview.com/2023/03/13/1069649/hyper-realistic-beauty-filters-bold-glamour/ https://www.technologyreview.com/2022/08/19/1057133/fight-for-instagram-face/ We meet: Shafee Hassan, Qoves Studio founder Lauren Rhue, Assistant Professor of Information Systems at the Robert H. Smith School of Business Credits: This episode was reported by Tate Ryan-Mosley, and produced by Jennifer Strong, Emma Cillekens, Karen Hao and Anthony Green. We’re edited by Michael Reilly and Bobbie Johnson.