In Machines We Trust: That's a wrap!

In Machines We Trust: That's a wrap!

Author: MIT Technology Review August 14, 2023 Duration: 27:27
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 called SHIFT. Sign up for updates at shiftshow.ai and subscribe wherever you get your podcasts. 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.  

Ever wondered what the future of artificial intelligence really holds, or how a quantum computer might actually work? MIT Technology Review Narrated turns the magazine's most significant journalism into an intimate listening experience. Each episode features a single, deeply-reported story from the publication's pages, brought to life not by automated text-to-speech, but by the nuanced delivery of professional voice actors. This approach allows the complexity and texture of the reporting to shine through, whether the topic is the ethics of gene editing, the geopolitics of semiconductors, or the next frontier in climate technology. You'll find yourself immersed in narratives that go beyond headlines, offering the context and analysis needed to understand how technological shifts are reshaping our world. The result is a thoughtful audio companion that makes even the most intricate subjects accessible and compelling. This podcast leverages the decades-long legacy of MIT Technology Review's trusted reporting, ensuring that every story is not only engaging but rigorously fact-checked and insightful. It's for anyone curious about the forces designing our tomorrow, who prefers substance over soundbites and enjoys getting lost in a well-told story. Settle in for a weekly dose of clarity on the ideas that matter, all delivered through the power of spoken narrative.
Author: Language: English Episodes: 100

MIT Technology Review Narrated
Podcast Episodes
How a tiny Pacific Island became the global capital of cybercrime [not-audio_url] [/not-audio_url]

Duration: 26:45
Tokelau is a group of three isolated atolls strung out across the Pacific Ocean between New Zealand (of which it’s an official territory) and Hawaii. Its population hovers around 1,400 people. Reaching it requires a boat…
It’s time to retire the term “user” [not-audio_url] [/not-audio_url]

Duration: 15:17
Though “user” seems to describe a relationship that is deeply transactional, many of the technological relationships in which a person would be considered a user are actually quite personal. That being the case, is the t…
How ASML took over the chipmaking chessboard [not-audio_url] [/not-audio_url]

Duration: 20:25
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 mo…
Minds of machines: The great AI consciousness conundrum [not-audio_url] [/not-audio_url]

Duration: 32:03
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 to…
In Machines We Trust: When AI hears a problem [not-audio_url] [/not-audio_url]

Duration: 32:46
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 heal…

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