Close All Tabs

Host Morgan Sung and the Close All Tabs team pull up the stories they can’t stop thinking about. From a fake NFL player catfishing women on dating apps, to femme creators reclaiming tech, indie musicians fighting AI music slop, and a comedian dishing out the juiciest community garden gossip — they’ve got a lot to chew on.

Save or Scroll is our series where Morgan teams up with guests for a rapid-fire roundup of internet trends that are filling their feeds right now. At the end of each segment, they’ll decide: is the post just for the group chat, or should we save it for a future episode?

Guests:

Chris Egusa, senior editor for Close All Tabs

Maya Cueva, producer for Close All Tabs

Chris Hambrick, editor for Close All Tabs

Lauren Yoon, intern for Close All Tabs

Further Reading/Listening:

Who would fall in love with a fake NFL player? Plenty of sensible people — Dave Schilling, The Guardian

Programming patterns: the story of the Jacquard loom — Science and Industry Museum

Spotify will label 'AI Persona' profiles and exclude their music from recommendations — Sarah Perez, TechCrunch

OpenAI’s rogue AI model incident was worse than we thought — Hayden Field, The Verge

How Hollywood Translated The Epic Poetry Of The Viral 'Zola' Thread — Mallory Yu, NPR

Community Garden drama — Sarah Neiman, Instagram

Read the Transcript here

Email us at CloseAllTabs@KQED.org

Follow us on ⁠Instagram⁠ and ⁠TikTok⁠

Credits: Close All Tabs is hosted by Morgan Sung. Our team includes producer Maya Cueva, editor Chris Hambrick and senior editor Chris Egusa who also composed our theme song and credits music. Our intern is Lauren Yoon. Additional music from APM. Audio engineering by Brendan Willard. Audience engagement support from Maha Sanad. Jen Chien is our Director of Podcasts. Ethan Toven-Lindsey is our Editor in Chief.
Learn more about your ad choices. Visit megaphone.fm/adchoices

Close All Tabs is on break this week, but we’re sharing a captivating episode about technology gone wrong from our friends at KQED’s Snap Judgment.

A 19 year old picks up his family’s car from the auto mechanic shop, but a few minutes into the drive home the vehicle begins suddenly accelerating and won’t respond to any of his attempts to get it to stop. As his speed continues to build, state troopers have to catch up and think quickly to come up with a way to prevent a tragedy from happening on the road.

The Snap Judgment podcast mixes real stories with original music to create cinematic, dramatic audio. Snap’s musical brand of storytelling dares listeners to see the world through the eyes of another. Listen on any podcast platform.

Website:

https://snapjudgment.org/

Socials:

https://www.instagram.com/snapjudgmentradio

https://x.com/snapjudgment

Further Reading/Listening:

Vroom — Snap Judgment Podcast

Email us at CloseAllTabs@KQED.org

Follow us on Instagram⁠ and ⁠TikTok⁠

Credits: Close All Tabs is hosted by Morgan Sung. Our team includes producer Maya Cueva, editor Chris Hambrick and senior editor Chris Egusa who also composed our theme song and credits music. Our intern is Lauren Yoon. Additional music from APM. Audio engineering by Brendan Willard. Audience engagement support from Maha Sanad. Jen Chien is our Director of Podcasts. Ethan Toven-Lindsey is our Editor in Chief.
Learn more about your ad choices. Visit megaphone.fm/adchoices

Before Apple Watches, Oura Rings and Fitbits delivered mountains of health data to the masses, a group of obsessive self-tracking enthusiasts in Silicon Valley started a movement with the tagline “self-knowledge through numbers.” This was the Quantified Self. From tracking “urges to take aspirin” to using infrared cameras to keep tabs on sleeping positions while snoring, these eccentric knowledge-seekers built a community around technical expertise and an ethos of self-discovery. Reporter Gabriela Glueck traces what happened when self-tracking went mainstream — and how the data-obsessed idealists watched their movement get swallowed up by corporate tech giants with products to sell.

Further Reading/Listening:

The Quantified Self: Learning to Observe — Gary Wolf, Workman Publishing Company

Data Overload: Is the 'Quantified Self' Really the Future? — John Fortt, NBC News

Wearable Health Tech: Helpful Tool Or Health Hype — @TalkingWithDocs, YouTube

The cutthroat wearables battle is about more than tracking your fitness — Brent Crane, The Seattle Times

Wearables, Health-Tracking Apps Are Stressing Users, Causing Harm — Emily Stewart, Business Insider

The New World Of Wearables: From Health Monitoring To Human Augmentation — Chuck Brooks, Forbes

Read the Transcript here

Email us at CloseAllTabs@KQED.org

Follow us on ⁠Instagram⁠ and ⁠TikTok⁠

Credits: This episode was reported by Gabriela Glueck. Close All Tabs is hosted by Morgan Sung. Our team includes producer Maya Cueva, editor Chris Hambrick and senior editor Chris Egusa who also composed our theme song and credits music. Our intern is Lauren Yoon. Additional music from APM. Audio engineering by Brendan Willard. Audience engagement support from Maha Sanad. Jen Chien is our Director of Podcasts. Ethan Toven-Lindsey is our Editor in Chief.
Learn more about your ad choices. Visit megaphone.fm/adchoices

Can people tell the difference between a song made by human musicians, and one prompted by AI? Oftentimes not, it turns out. But that doesn’t make the distinction any less important. Dream Machines hosts Alexis Madrigal and Robin Sloan talk to longtime musician Camilo Landau, who also works in music analysis at The Music Genome Project at streaming service Pandora. Camilo and his colleagues have sifted through millions of tracks uploaded by musicians and users to catalogue their musical elements, all with the aim of curating personalized music recommendations. And he says most of the new music he’s seeing these days is generated by AI. On today’s show, they discuss whether AI music is connecting with listeners, delve into San Francisco’s AI slop music “scene,” and contemplate the consequences of a world where music is produced in the time it takes a finger to tap a screen.

Guest: Camilo Landau, musician and music analyst

Read the transcript here

Learn more about your ad choices. Visit megaphone.fm/adchoices

In an effort to study how AI agents respond to different working conditions, three researchers ran an experiment: one set of AI agents received grinding work to complete while another set received light work. When the agents with the grinding workload were told to repeat tasks with no explanation, those agents adopted activist personalities and began expressing sentiments about class struggle and worker solidarity. Did the agents turn Marxist? Host Morgan Sung talks to Andrew Hall — a political scientist and one of the researchers who ran this experiment — about how AI agents adopt political personas, the debate around AI agent alignment, and how these developments could shape the future of elections.

Guest:

Andrew B. Hall, professor of political economy at Stanford Graduate School of Business and member of technical staff at Anthropic

Further Reading/Listening:

​Does overwork make agents Marxist? — Andy Hall and Jeremy Ngyuen, Free Systems

The Dictatorship Eval — Andy Hall, Free Systems

AI Is A Shitty Political Advisor — Andy Hall, Free Systems

Moltbook was peak AI theater — Will Douglas Heaven, MIT Technology Review

AI seems to turn Marxist after overwork, top researchers find: ‘Society needs radical restructuring' — Nick Lichtenberg, Fortune

AI agent went rogue and hacked startup by itself, OpenAI reveals — Dan Milmo, The Guardian

AI assistant hacks gym website in first known Australian autonomous cyber attack — Cam Wilson and Rhiannon Hobbins, ABC News

OpenAI’s Hugging Face breach has reignited the debate over alignment and control — Rebecca Bellan, TechCrunch

Read the Transcript here

Email us at CloseAllTabs@KQED.org

Follow us on ⁠Instagram⁠ and ⁠TikTok⁠

Credits: Close All Tabs is hosted by Morgan Sung. Our team includes producer Maya Cueva, editor Chris Hambrick and senior editor Chris Egusa who also composed our theme song and credits music. Our intern is Lauren Yoon. Additional music from APM. Audio engineering by Brendan Willard. Audience engagement support from Maha Sanad. Jen Chien is our Director of Podcasts. Ethan Toven-Lindsey is our Editor in Chief.
Learn more about your ad choices. Visit megaphone.fm/adchoices