Podcasts about Keen

10th Anniversary Special: Interview with Linda Garber The Lesbian Historic Motif Podcast - Episode 348 with Heather Rose Jones An interview with Professor Linda Garber about her research into lesbian historical fiction. Books and Media Mentioned Garber, Linda. 2022. Novel Approaches to Lesbian History. Palgrave. ISBN 978-3030854164 Cruikshank, M. (ed) 1982. Lesbian Studies: Present and Future. The Feminist Press at CUNY. ISBN 978-0935312072 Garber, Linda. 2001. Identity Poetics: Race, Class and the Lesbian-Feminist Roots of Queer Theory. Columbia University Press. Schwartz, Selby Wynn. After Sappho. (novel) Keen, Suzanne. 2003 Romances of the Archive in Contemporary British Fiction. University of Toronto Press. ISBN 978-0802086846 (credit for the phrase “romance of the archives” which I've been misattributing) Martinac, Paula. Out of Time. (novel) Davies, Stevie. Impassioned Clay. (novel) Friend, Catherine. The Spanish Pearl. (novel) Dickinson (tv series) Gentleman Jack (tv series) Arnold, June Davis. The Cook and the Carpenter. (novel) Faderman, Lillian. 1981. Surpassing the Love of Men: Romantic Friendship and Love Between Women from the Renaissance to the Present. William Morrow and Company, Inc. ISBN 0-688-00396-6 Hall, Radclyffe. The Well of Loneliness. (novel) Portrait of a Lady on Fire (movie) The Favourite (movie) Ammonite (movie) Saturday Night Live “Lesbian Period Drama” (sketch on YouTube) Desert of the Heart (movie) based on Jane Rule's Desert Hearts A Knight's Tale (movie) Giffney, Noreen, Michelle M. Sauer & Diane Watt (eds). 2011. The Lesbian Premodern. Palgrave. ISBN 978-0-230-61676-9 The Belle of Amherst (movie) Gomez, Jewelle. The Gilda Stories. (novel) Giddings, Megan. The Women Could Fly (novel) Korn, Gabrielle. Yours for the Taking (novel) Pérez, Emma. Forgetting the Alamo, or, Blood Memory (novel McCollum, Hilary. As a Lover (novel) McCollum, Hilary. Golddigger (novel) Gagehabib, LaVerne. The Blacksmith and the Doctor (novel) Winterson, Jeanette. The Passion (novel) A transcript of this podcast is available here. (Interview transcripts added when available.) Links to the Lesbian Historic Motif Project Online Website: http://alpennia.com/lhmp Blog: http://alpennia.com/blog RSS: http://alpennia.com/blog/feed/ Twitter: @LesbianMotif Discord: Contact Heather for an invitation to the Alpennia/LHMP Discord server The Lesbian Historic Motif Project Patreon Links to Heather Online Website: http://alpennia.com Email: Heather Rose Jones Mastodon: @heatherrosejones@Wandering.Shop Bluesky: @heatherrosejones Facebook: Heather Rose Jones (author page) Links to Linda Garber Online Website: academic website

What is Leg-Hair Harassment? What age would you be again and why this question delivers a whole juicy dollop of home truths. The Out Loud hosts have handpicked their all-time favourite reads and one subscriber is winning the entire 12-book stack. Subscribe to Mamamia to be automatically entered to win. Current subscriber? You're already in the draw. T&Cs apply. “No DJs.” What rules would you put on a Single Girls’ Manifesto? And reccos for your weekend you’re welcome: Em recommends Merit Flush Balm Blush. Mia recommends Hair ties from KKneckie, bought from Jumbledonline. Holly recommends Kitchen Cabinet, hosted by Annabel Crabb, on abcview. And a cheeky extra recco: Listen to In The Comments Get access to Very Peri, Mamamia's exclusive perimenopause series, for just $59. 25 world-leading experts, over 20 on-demand sessions, available now. We’ve sorted through the noise so you don't have to. Go to veryperi.com.au and join me today. You hot? Same. Buy today and save 40% Keen for more? Check out the Mamamia Out Loud newsletter. What To Listen To Next: Listen to our latest episode: Brad Pitt & 'The Half Life Wife' Listen: Inside Our Very Own Morning Wars Listen: ‘Wait. Is this book about me?’ Listen: The Meghan Masterchef Theory & A Very Public Family Performance Review Listen: The Podcast Seat We’re All Fighting For Listen: Do You Have A Hassler Friend? (You Do.) Listen: Barnaby’s 'Imaginary' Dog & You Can't Get Into This Club Connect your subscription to Apple Podcasts Discover more Mamamia Podcasts here including the very latest episode of Parenting Out Loud, the parenting podcast for people who don't listen to... parenting podcasts. SUBSCRIBE here: Support independent women's media You can now watch our show in full length video on the Apple Podcast app - make sure your phone is up to date and we can't wait for you to see Mamamia Out Loud on Apple What to read: In a few short years, Dolly Alderton made herself a brand. This is how she did it. How Dolly Alderton managed to sum up the loneliness of dating in just a few sentences. 'Amp that f**king up.' Dolly Alderton on turning her love life into Stan's Everything I Know About Love. 'I'm a self-professed pro.' An ex-bartender's 8 tricks for mastering the art of flirting. Scientists figured out why you still feel 25 (even though you're definitely not). THE END BITS: Check out our merch at MamamiaOutLoud.com GET IN TOUCH: Feedback? We’re listening. Send us an email at outloud@mamamia.com.au Share your story, feedback, or dilemma! Send us a voice message. Join our Facebook group Mamamia Outlouders to talk about the show. Follow us on Instagram @mamamiaoutloud and on Tiktok @mamamiaoutloud CREDITS: Hosts: Holly Wainwright, Mia Freedman & Emily Vernem Acting Group Executive Producer: Emeline Gazilas Executive Producer: Grace Rouvray Video Producer: Josh Green Associate Producer: Tessa Kotowicz Mamamia acknowledges the Traditional Owners of the Land on which we have recorded this podcast. Become a Mamamia subscriber: https://www.mamamia.com.au/subscribeSee omnystudio.com/listener for privacy information.

Ella Hibbert (29), aka Ella in the Arctic, finished a record-breaking North West Passage solo last year. Now she is back at her boat to finish what she started: A circumnavigation of the Arctic, and she will be heading for the Northern Sea Route at the beginning of August.  Ella's Arctic expedition is officially endorsed by the Scientific Exploration Society and she is also part of The International SeaKeepers Society. You can, and you should follow her and support her. Check out Ella in the Arctic website. We have just released our Arctic Sailing Program, and it starts in mid-October with sailing with Whales and Northern Lights above 70 degrees North. Come join us for an experience you will never forget. Keen on sailing the Norwegian coast? You should be. Read Sail the Norwegian Coast: How and Why you should sail the most beautiful coast in the world – Kindle edition. If you need information about sailing in the high latitudes check out the book I wrote with Bob Shepton: High Latitude Sailing – Self-sufficient sailing techniques for cold waters and winter seasons. 

Si and Lana talked about a wild situation in Australia where two kids escaped from their kindy. The pair made a proper run for it, getting more than a kilometre down the road. Keen for more? Follow The Breakfast Club on socials and give us a 5-star rating on Spotify or Apple.

Plus: Fedora Linux is formalizing a "Conflict of Interest" policy... written by AI.Oregon Trail, Keen, & Leisure Suit Larry Lifetime Walls:https://lunduke.locals.com/post/8088259/oregon-trail-keen-leisure-suit-larry-lifetime-wallsGet on The Wall with a Massively Discounted Lifetime Sub:https://lunduke.substack.com/p/50-off-yearly-and-massively-discountedMore from The Lunduke Journal:https://lunduke.com/ This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit lunduke.substack.com/subscribe

Outlouders, enjoy this free taster of Mia Freedman, Holly Wainwright & Emily Vernem on our subscriber-only episode. You can listen to the full conversation here: ‘Wait. Is this book about me?’ Usher's onstage stunt just backfired and the internet definitely noticed. Plus, two Manhattan lawyers were caught mid-pash by a TikToker who wouldn't stop filming: is it the new Coldplay kiss cam, or proof we've lost the right to be private in public? And, Rachel Cusk's new novel reads suspiciously like the life of her friend Natalie Portman — and neither of them is commenting. The theme remained the same: nobody asked for any of this. The Out Loud hosts have handpicked their all-time favourite reads and one subscriber is winning the entire 12-book stack. Subscribe to Mamamia to be automatically entered to win. Current subscriber? You're already in the draw. T&Cs apply. Get access to Very Peri, Mamamia's exclusive perimenopause series, for just $59. 25 world-leading experts, over 20 on-demand sessions, available now. We’ve sorted through the noise so you don't have to. Go to veryperi.com.au and join me today. You hot? Same. Buy today and save 40% What To Listen To Next: Listen to our latest episode: The Meghan Masterchef Theory & A Very Public Family Performance Review Listen: The Podcast Seat We’re All Fighting For Listen: Do You Have A Hassler Friend? (You Do.) Listen: Barnaby’s 'Imaginary' Dog & You Can't Get Into This Club Listen: The Cool Girls Are Wearing 'Fecal Matter' Listen: Posh Wasn't At Sporty's Wedding & Non-Parents Need Holidays Too Connect your subscription to Apple Podcasts Got questions or things you'd like Mia to talk about? Email us at outloud@mamamia.com.au Discover more Mamamia Podcasts here including the very latest episode of Parenting Out Loud, the parenting podcast for people who don't listen to... parenting podcasts. SUBSCRIBE here: Support independent women's media You can now watch our show in full length video on the Apple Podcast app - make sure your phone is up to date and we can't wait for you to see Mamamia Out Loud on Apple What to read: Rose McGowan said Natalie Portman was not "brave". And Natalie Portman agreed with her. Kristin was at the centre of the Coldplay kiss cam video. She just shared her side of the story. It was the 'affair' that broke the internet. Nobody saw Astronomer's next move coming. THE END BITS: Check out our merch at MamamiaOutLoud.com Keen for more? Check out the Mamamia Out Loud newsletter. GET IN TOUCH: Feedback? We’re listening. Send us an email at outloud@mamamia.com.au Share your story, feedback, or dilemma! Send us a voice message. Join our Facebook group Mamamia Outlouders to talk about the show. Follow us on Instagram @mamamiaoutloud and on Tiktok @mamamiaoutloud Mamamia acknowledges the Traditional Owners of the Land on which we have recorded this podcast.Become a Mamamia subscriber: https://www.mamamia.com.au/subscribeSee omnystudio.com/listener for privacy information.

While Computerworld is promoting Unions and Leftist politics, OSNews is cheering over the death of Senator Lindsey Graham and wishing for more Republican deaths.Oregon Trail, Keen, & Leisure Suit Larry Lifetime Walls:https://lunduke.locals.com/post/8088259/oregon-trail-keen-leisure-suit-larry-lifetime-wallsGet on The Wall with a Massively Discounted Lifetime Sub:https://lunduke.substack.com/p/50-off-yearly-and-massively-discountedMore from The Lunduke Journal:https://lunduke.com/ This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit lunduke.substack.com/subscribe

Six strangers board a night train crawling through the worst winter in years — a divorced businessman, a runaway couple, a wealthy man running out of time, and an elderly woman being shipped off by her own family — each quietly hoping this trip might be the one that changes everything, for better or worse.Look for this podcast on Apple Podcasts, Spotify, iHeart Radio, Amazon Music, Pandora, TuneIn Radio, and other podcast apps. Get a list of free listening apps here: https://weirddarkness.tiny.us/OTRCHAPTERS & TIME STAMPS (All Times Approximate)…00:00:00.000 = Show Open00:01:30.028 = CBS Radio Mystery Theater, “Journey To Somewhere” (May 04, 1978) ***WD00:44:26.457 = Molle Mystery Theater, “Killer Come Back To Me” (May 17, 1946)01:13:35.047 = Mr. Keen, “The Leaping Dog” (April 13, 1944) ***WD01:42:41.788 = Murder at Midnight, “The Man With The Black Beard” (May 08, 1950) ***WD02:08:37.327 = The Black Museum, “The Tan Shoe” (January 15, 1952)02:33:18.183 = Mysterious Traveler, “The Green Plague” (June 17, 1952)03:00:29.228 = CBC Nightfall, “Hands Off” (July 25, 1980)03:27:14.184 = Obsession, “Clinging Hate” (May 14, 1951) ***WD03:49:55.235 = Origin of Superstition, “Kissing Under Mistletoe” (1935) ***WD04:04:07.297 = Pat Novak For Hire, “Rory Malone” (March 20, 1949)04:33:03.187 = Peril, “Lucky Lady” (1953) ***WD04:58:54.597 = Show Close(ADU) = Air Date Unknown(LQ) = Low Quality***WD = Remastered, edited, or cleaned up by Weird Darkness to make the episode more listenable. Audio may not be pristine, but it will be better than the original file which may have been unusable or more difficult to hear without editing.CUSTOM WEBPAGE: https://weirddarkness.com/WDRR0727

Guest Speaker: Ray Keen

Seriously. Doom (or, at least, "Doom lite"). For the C64. It's in development. And it looks rad.Oregon Trail, Keen, & Leisure Suit Larry Lifetime Walls:https://lunduke.locals.com/post/8088259/oregon-trail-keen-leisure-suit-larry-lifetime-wallsGet on The Wall with a Massively Discounted Lifetime Sub:https://lunduke.substack.com/p/50-off-yearly-and-massively-discountedMore from The Lunduke Journal:https://lunduke.com/ This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit lunduke.substack.com/subscribe

Harmeet Dhillon, Assistant A.G. for Civil Rights at the U.S. D.O.J., makes her return to the morning show to update Sid on the close eye her and her division at the DOJ are keeping on Mayor Zohran Mamdani and New York City.

Bonsoy Isotonics Presents... Bonsoy Blitzed with High Flying Chang Lord Dane Henry! Layed up with a busted pin after an air gorn wrong at Lowers Dane-o gives us the run down on how long he'll be out, his highlights from Ballito and how he sees the upcoming Chang at Huntington Beach playing out!See omnystudio.com/listener for privacy information.

The fight over AI coding, in Open Source, continues to escalate. Some embracing AI in Linux, others fighting against it.Oregon Trail, Keen, & Leisure Suit Larry Lifetime Walls:https://lunduke.locals.com/post/8088259/oregon-trail-keen-leisure-suit-larry-lifetime-wallsGet on The Wall with a Massively Discounted Lifetime Sub:https://lunduke.substack.com/p/50-off-yearly-and-massively-discountedMore from The Lunduke Journal:https://lunduke.com/ This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit lunduke.substack.com/subscribe

Lunduke Computer Operating System 0.1 is out! 0.2 is in development! With a new Installer! Plus: How The Lunduke Journal is funding Non-Woke Open Source.Oregon Trail, Keen, & Leisure Suit Larry Lifetime Walls:https://lunduke.locals.com/post/8088259/oregon-trail-keen-leisure-suit-larry-lifetime-wallsGet on The Wall with a Massively Discounted Lifetime Sub:https://lunduke.substack.com/p/50-off-yearly-and-massively-discountedMore from The Lunduke Journal:https://lunduke.com/ This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit lunduke.substack.com/subscribe

Explore the roots and evolution of modern yoga, tracing its history from ancient texts to contemporary practices, and understanding the cultural and political influences shaping it today.  Key  Topics ·       Historical development of yoga from 7th to 20th century ·       Influence of Indian and Western physical culture on yoga ·       Role of key texts like Hatha Yoga Pradipika and Yoga Chintamani ·       Impact of political and nationalist movements on yoga's evolution ·       Krishnamacharya's synthesis of yoga traditions SUPPORT KEEN ON YOGA: https://www.buymeacoffee.com/infoRf FULL PODCAST LIST: https://www.keenonyoga.com/keen-on-yoga-podcast-guests/ CONNECT WITH ADAM https://linktr.ee/Keenonyoga WATCH https://www.youtube.com/@keenonyoga

Jul 26, 2026 - Pastor John Keen expounds on Philippians 1:3-6 2:12-13

Bondy shared the story of WWII gunner Nicholas Alkemade, who jumped out of a burning plane at 4.5 kilometres high with no parachute and somehow survived. He ended up landing in a snowy pine forest in Germany and lived until the late 80s. Keen for more? Follow The Breakfast Club on socials and give us a 5-star rating on Spotify or Apple.

Welcome to Impact Theory with Tom Bilyeu. In today's episode, we dive deep into the economic insights of Professor Steve Keen—a renowned economist who famously predicted the 2008 financial crisis. Keen challenges mainstream economic models and reveals the fundamental misconceptions that lead economists to repeatedly misjudge the state of the economy, especially when it comes to debt.We'll unpack why conventional wisdom about government and private debt is dangerously flawed, explore the real mechanics of money creation in modern economies, and explain why ignoring private debt can leave entire nations blindsided by financial turmoil. Along the way, we'll touch on provocative ideas like debt jubilees, the dangers of unchecked debt cycles, and the delicate balance between innovation, lending, and inflation.Strap in as we question what you really know about economics, challenge widely held beliefs, and uncover the models shaping your financial future—whether you realize it or not.Quince: Free shipping and 365-day returns at https://quince.com/impactpodWhatnot: Download the Whatnot app today and get free shipping on your first order.Ketone IQ: Visit https://ketone.com/IMPACT for 30% OFF your subscription orderATT Business: Switch to AT&T Business at business.att.comIncogni: Take your personal data back with Incogni! Use code IMPACT at the link below and get 60% off an annual plan: https://incogni.com/impact Pique: 20% off at https://piquelife.com/impactNetsuite: For the first time ever you can try NetSuite Next for free. If your revenues are at least in the seven figures, go to https://NetSuite.ai/Theory. Built for every industry. Ready for every boardroom.Sign up for my AI Masterclass: https://tombilyeu.com/ai-masterclass?utm_campaign=TBS-Livestream&utm_source=youtube&utm_medium=social Check us out wherever you get your podcasts:Spotify:https://open.spotify.com/show/1nARKz2vTIOb7gC9dusE4b?si=a8daffd2bf1f48fdApple: https://podcasts.apple.com/us/podcast/tom-bilyeus-impact-theory/id1191775648Do you need my help STARTING a business? Join me here inside ZERO TO FOUNDER: (https://tombilyeu.com/zero-to-founder)Get the exact systems, mindset shifts, and principles that built a $1B brand delivered straight to your inbox every week. Subscribe for free (https://tombilyeu.com)Check out our Video game - Project Kyzen: (https://projectkyzen.io/)Catch Me Streaming on Twitch - (https://twitch.tv/tombilyeu)Link to IT discord: https://discord.gg/TZKJ2etPbTTom's Favorite Things List: https://amzn.to/41Ftt7eFor Business inquiries: connect@impacttheory.comFOLLOW TOM:Instagram: https://www.instagram.com/tombilyeu/Twitter: https://twitter.com/tombilyeuYouTube: https://www.youtube.com/@TomBilyeuSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Here are all the That's Slightly Interesting facts from the week, covering the Pope, a pen that saved a rocket, and Batman. See which ones managed to get three yes votes.Keen for more? Follow The Breakfast Club on socials and give us a 5-star rating on Spotify or Apple.

When Protein-maxxing meets Queue Culture: Someone decided frozen yoghurt is the new juice and now there are lines around the block. Put your phone down and sit on a Scrolly Chair. How A-listers decide who sits where on a talk show and what it tells you about your dinner out. Also, why does Holly want the centre pod chair so bad? The Out Loud hosts have handpicked their all-time favourite reads and one subscriber is winning the entire 12-book stack. Subscribe to Mamamia to be automatically entered to win. Current subscriber? You're already in the draw. T&Cs apply. Recommendations Mia recommends: A hairdryer diffuser, and Colour Wow Dream Coat For Curly Hair. Em recommends: Ride or Die, a buddy comedy series starring Hannah Waddingham and Octavia Spencer. All 8 episodes are out on Prime Video. Holly recommends: Her latest lip obsessions: Model Co. Sheer Tint Lip Balm in Girl Boss $15.40. Mecca Max Pout Pencil in classy with some clear lip balm over the top - or Dr Lipp Lip Tint in Elderberry AND for spenny - Violette FR - Lip Nectar in Pois De Senteur $48 - a gloss AND a stain. Oh, and… The Weights Program on Move by Mamamia. Get access to Very Peri, Mamamia's exclusive perimenopause series, for just $59. 25 world-leading experts, over 20 on-demand sessions, available now. We’ve sorted through the noise so you don't have to. Go to veryperi.com.au and join me today. You hot? Same. Buy today and save 40% Keen for more? Check out the Mamamia Out Loud newsletter. What To Listen To Next: Listen to our latest episode: Do You Have A Hassler Friend? (You Do.) Listen: Barnaby’s 'Imaginary' Dog & You Can't Get Into This Club Listen: The Cool Girls Are Wearing 'Fecal Matter' Listen: Posh Wasn't At Sporty's Wedding & Non-Parents Need Holidays Too Listen: You’re ‘Too Old’ For A Present & We Got A Cheerleader In Trouble Listen: Mia: "I Was 17, He Was 33." Listen: Goodbye Sam, WTF Charlize & One Very Messy Celebrity Split Listen: Lena’s Revenge, Harry’s Secret Tea & Clare Calls In Connect your subscription to Apple Podcasts Discover more Mamamia Podcasts here including the very latest episode of Parenting Out Loud, the parenting podcast for people who don't listen to... parenting podcasts. SUBSCRIBE here: Support independent women's media You can now watch our show in full length video on the Apple Podcast app - make sure your phone is up to date and we can't wait for you to see Mamamia Out Loud on Apple What to read: 'My phone addiction was genuinely taking over my life. This is the only thing that fixed it.' "He was just exhausting." Graham Norton shares his best and worst guests. 'Sorry to all booth lovers': An extremely controversial ranking of the best and worst places to sit at restaurants. HOLLY WAINWRIGHT: Just 13 rules for friends' dinners in 2026. The exercise app for any body, anywhere. Move by Mamamia. THE END BITS: Check out our merch at MamamiaOutLoud.com GET IN TOUCH: Feedback? We’re listening. Send us an email at outloud@mamamia.com.au Share your story, feedback, or dilemma! Send us a voice message. Join our Facebook group Mamamia Outlouders to talk about the show. Follow us on Instagram @mamamiaoutloud and on Tiktok @mamamiaoutloud CREDITS: Hosts: Holly Wainwright, Mia Freedman & Emily Vernem Acting Group Executive Producer: Emeline Gazilas Executive Producer: Grace Rouvray Video Producer: Josh Green Associate Producer: Tessa Kotowicz Mamamia acknowledges the Traditional Owners of the Land on which we have recorded this podcast.Become a Mamamia subscriber: https://www.mamamia.com.au/subscribeSee omnystudio.com/listener for privacy information.

While Bloody Sunday was seen as a crime here in Ireland, in many ways, it was seen as a public relations disaster in Britain. Keen to shift the narrative in their favour, the British Army hired a war artist. But what role did he play in British propaganda against the backdrop of the Troubles?Joining Tom Dunne is Dr. Clare Carolin, Lecturer in Art and Public Engagement at King's College London and Author of ‘The Deployment of Art'.

Ashton Keen creates sets of pouring pots and dinnerware that have subtle flashes of orange, yellow, and white. In our interview we talk about ways to approach being thoughtful in the studio, making soda fired pots at cone 4, and her residency at Harvard Ceramics. Her solo show All Things Considered is up now through August 7th. To see images follow Ashton on Instagram.   Have you checked out the Tales from the Vault podcast feed? Become a supporter on Patreon to gain access to dozens of episodes that are no longer available on major podcast apps. To make your donation go to patreon.com/redclayrambler.   Today's episode is brought to you by the following sponsors:  Kiln Fire kilnfire.com

Outlouders, enjoy this free taster of Mia Freedman, Holly Wainwright & Emily Vernem on our subscriber-only episode. You can listen to the full conversation here: The Cool Girls Are Wearing 'Fecal Matter' JLo has just turned 57 and celebrated with a carousel on socials. But it's the photo featuring her sister and a bathtub that tells you everything you need to know about their relationship. Meanwhile, Ricki Lake isn't celebrating her birthday... she's celebrating her facelift's. And look... we've got some questions. And another celebrity wedding happened over the weekend, but it couldn't have been more different to Taylor and Travis'. Em Vernem explains why everyone is talking about the wedding of Matty Healy and Gabbriette. The Out Loud hosts have handpicked their all-time favourite reads and one subscriber is winning the entire 12-book stack. Subscribe to Mamamia to be automatically entered to win. Current subscriber? You're already in the draw. T&Cs apply. Get access to Very Peri, Mamamia's exclusive perimenopause series, for just $59. 25 world-leading experts, over 20 on-demand sessions, available now. We’ve sorted through the noise so you don't have to. Go to veryperi.com.au and join me today. You hot? Same. Buy today and save 40% What To Listen To Next: Listen to our latest episode: Posh Wasn't At Sporty's Wedding & Non-Parents Need Holidays Too Listen: You’re ‘Too Old’ For A Present & We Got A Cheerleader In Trouble Listen: Mia: "I Was 17, He Was 33." Listen: Goodbye Sam, WTF Charlize & One Very Messy Celebrity Split Listen: Lena’s Revenge, Harry’s Secret Tea & Clare Calls In Listen: Airport Divorce & The Podcast Cutting Our Grass Connect your subscription to Apple Podcasts Got questions or things you'd like Mia to talk about? Email us at outloud@mamamia.com.au Discover more Mamamia Podcasts here including the very latest episode of Parenting Out Loud, the parenting podcast for people who don't listen to... parenting podcasts. SUBSCRIBE here: Support independent women's media You can now watch our show in full length video on the Apple Podcast app - make sure your phone is up to date and we can't wait for you to see Mamamia Out Loud on Apple What to read: Please don't use this as a sign to text your ex. The moment the tide turned for Jennifer Lopez. There's more to Taylor Swift's one-month 'situationship' with Matt Healy. It started a decade before. Taylor told you who she was the first time. In 2026, the facelift has been rebranded. THE END BITS: Check out our merch at MamamiaOutLoud.com Keen for more? Check out the Mamamia Out Loud newsletter. GET IN TOUCH: Feedback? We’re listening. Send us an email at outloud@mamamia.com.au Share your story, feedback, or dilemma! Send us a voice message. Join our Facebook group Mamamia Outlouders to talk about the show. Follow us on Instagram @mamamiaoutloud and on Tiktok @mamamiaoutloud Mamamia acknowledges the Traditional Owners of the Land on which we have recorded this podcast.Become a Mamamia subscriber: https://www.mamamia.com.au/subscribeSee omnystudio.com/listener for privacy information.

Patrick Bet-David sits down with economist Steve Keen, one of the few economists to warn of the 2008 financial crisis before it happened. A longtime critic of mainstream economics, Keen debates capitalism, Marxism, climate change, AI, America's debt crisis, Iran, housing affordability, and the future of civilization.Steve Keen explains why he believes economists misunderstand money, why AI is headed for a massive shakeout, and why humanity faces its greatest challenges in the decades ahead.

A chemist, lost on a lonely country road at nightfall, keeps glimpsing a laughing little girl no one else in the isolated mansion will admit exists.Look for this podcast on Apple Podcasts, Spotify, iHeart Radio, Amazon Music, Pandora, TuneIn Radio, and other podcast apps. Get a list of free listening apps here: https://weirddarkness.tiny.us/OTRCHAPTERS & TIME STAMPS (All Times Approximate)…00:00:00.000 = Show Open00:01:30.028 = CBS Radio Mystery Theater, “Childish Laughter” (April 10, 1978)00:44:45.782 = Mystery In The Air, “Mask of Medusa” (September 04, 1947) ***WD01:13:44.235 = Molle Mystery Theater, “”Further Adventures of Kenny Andrews” (May 10, 1946) ***WD01:43:04.502 = Mr. Keen, “The Strange Display” (March 16, 1944) ***WD02:11:54.148 = Murder at Midnight, “Dead Hand” (May 01, 1950) ***WD02:35:49.001 = The Black Museum, “The Straight Razor” (November 11, 1952) ***WD03:01:04.966 = Mysterious Traveler, “The Haunted Trailer” (June 03, 1952) 03:33:30.017 = CBC Nightfall, “Love And The Lonely One” (July 04, 1980) ***WD03:56:45.698 = Obsession, “Tailored For Murder” (February 26, 1951) ***WD04:24:03.027 = Origin of Superstition, “Boogey Man” (1935)04:38:19.922 = Pat Novak For Hire, “Rubin Callaways Pictures” (March 13, 1949)05:06:43.866 = Show Close(ADU) = Air Date Unknown(LQ) = Low Quality***WD = Remastered, edited, or cleaned up by Weird Darkness to make the episode more listenable. Audio may not be pristine, but it will be better than the original file which may have been unusable or more difficult to hear without editing.CUSTOM WEBPAGE: https://weirddarkness.com/WDRR0718

Jul 19, 2026 - Pastor John Keen expounds on Matthew 13:24-30-36-43

Jul 19, 2026 - Pastor John Keen expounds on Matthew13:24-30-36-43

This week's video transcript summary is here. You can click on any bulleted section to see the actual transcript. Thanks to Granola for its software.EditorialIntelligence: Who Owns it?This week the word “AI” feels too small.AI is a technology. Intelligence is its product. And if intelligence is the product, the question is no longer just: Which model is best? Who has the cheapest tokens? Who owns the weights? Who controls the data center? Those are important questions, but they are lower in the stack.The bigger question is simpler and more political:Who owns intelligence?That sounds abstract until you make it concrete. Intelligence is becoming something companies can capture, package, serve, meter, route, improve, and sell.It can write code, answer questions, design molecules, automate offices, run agents, draft legal work, advise scientists, serve consumers, and reshape workflows. It is not merely software. It is a general-purpose capability. And all humans could benefit from more of it.General-purpose capabilities have a habit of becoming public questions. But the default answer, that public good is best delivered by government, is the wrong answer in this context.The Product Is IntelligenceWe should stop talking about AI as a feature and start talking about intelligence as the universal thing that is delivered as an input to the world.Water is an input. Electricity is an input. Literacy is an input. Connectivity is an input. Once a society depends on them, access stops being optional. Nobody needs government to build every well, power plant, school, or network. But everybody understands that a civilization cannot be organized around less than universal and reliable access to foundational inputs.Intelligence is reaching that level of importance now that we all know it is real.Government should not own it, operate it, or develop it. Quite the opposite. Companies are the right actors to build fast, compete hard, improve models, serve customers, and discover the real use cases. Self-interest is a useful framing here. Markets are good at finding demand, reducing costs, and turning invention into services people actually use.Companies are the right operators, developers, and owners. But that does not settle the real question of who owns the benefits. That is an economic question.If intelligence becomes metered infrastructure, what happens to the value it creates?The Ownership StackThis week's articles keep circling the same issue from different directions but in the nature of ‘circling' never quite nail it.Jamin Ball's “Own Your Weights” starts with the enterprise version of the question. Owning a model file is not enough. The durable asset is the loop: the data flywheel, the evaluations, the reinforcement system, the workflow learning, and the operating context that lets capability compound.Benedict Evans' “Ways to Think About Token Pricing” adds the market layer. Tokens may become essential, abundant, and cheap, like mobile data. But being essential does not guarantee that the token layer captures the value. The money may move up the stack to whoever owns the workflow, the customer, the distribution, or the application.Alex Karp's fight with the labs, reported in “Alex Karp Is Saying What Every Angry CEO Is Thinking About AI”, is the same argument in sharper enterprise language. Companies are afraid that model providers will not just sell intelligence, but learn from customer workflows and then move into the markets where those workflows create value. The “All-in” group are echoing Karp's view.And “What Is Loop Engineering, and Who Owns It?” names the new contested terrain. The loop is where intelligence meets the world. Whoever owns the loop owns the learning. Whoever owns the learning owns the compounding asset.That is why “who owns intelligence?” is not a slogan. It is the question under the model layer, the application layer, the enterprise layer, and the economic layer.Because intelligence is the product, the tools creating it are fragmented and competitive. So there is no logic in trying to discuss this at the level of a single company or set of tools and models.The Old Promise Was That Commerce Would Tame PowerThe essays this week give the historical backdrop.Deirdre McCloskey, in “What Really Caused the Industrial Revolution”, argues that modern growth came not simply from capital accumulation, but from a change in permission: ordinary people were allowed to innovate, trade, build, and be honored for it.That matters because intelligence could be another expansion of permission. It could make more people capable of building, learning, creating, coding, researching, translating, selling, and coordinating. It could lower the cost of competence.But only if access is broad.Paul Krugman's “AI in an Age of Oligarchy” warns that the same technology lands differently in different political economies. A new general-purpose technology entering a broad, open, upwardly mobile society is one thing. The same technology entering a concentrated economy, with extreme wealth and weak counterweights, is another.Tim O'Reilly's Economist essay, “Elon Musk is building a form of capitalism that Adam Smith would hate”, makes the governance point more directly. The old liberal hope was that commerce would tame arbitrary power. Markets, boards, courts, shareholders, disclosure, and competition would discipline the prince.But what if the prince uses markets to escape discipline?Henry Farrell's “political economy of billionaire derangement” pushes the same point. Founder culture, monopoly ambition, peer rivalry, weak correction mechanisms, and vast private control can amplify appetites rather than restrain them.The danger with intelligence is not that companies build it. They should. Companies build it, meter it, use public tolerance and public infrastructure to scale it, learn from everyone who uses it. All of those things are inevitable and healthy. Market forces will sort out winners from losers. The real danger is that the winners treat all of the surplus produced as purely private.Metered Intelligence Creates SurplusIf metering is not the problem, what is?The problem is pretending that metered intelligence creates value only for the metering entity. Metering water is only tolerated as a public good. If the public were blackmailed by a private water company with the threat of no water we would all rebel.Once we understand that the product of AI is intelligence we can see that every time intelligence is used, there is the immediate transaction: the user pays, the provider serves.But there is also system value. Usage creates signals. Workflows reveal patterns. Prompts, corrections, failures, preferences, integrations, edge cases, and business processes all help define where intelligence is useful and how it should improve. Intelligence breeds intelligence.Even when customer data is contractually protected, the market learns. The platform learns where demand is. The product team learns which workflows matter. The ecosystem learns which jobs are vulnerable, which tasks are automatable, and which parts of the economy can be reorganized around machine intelligence.So the surplus is not born in a vacuum.It rests on public science, public education, public data exhaust, public law, public infrastructure, public energy systems, public tolerance for data centers, and billions of human interactions. It is served by companies, but it is not made only by companies.This is why “Americans Deserve a Dividend From AI Companies' Riches” belongs at the center of this week's issue. The detail can be debated. The principle is harder to dismiss. If intelligence becomes a new foundational resource, then some part of the wealth it creates should flow back to the people whose society makes it possible. Intelligence did not suddenly appear. AI is built on the entire history of human intelligence. It benefits from it and at the same time evolves it.Not Nationalization. A Human Wealth Fund.If intelligence belongs to everybody, some conclude that government ownership of intelligence is the right outcome.Governments are not well suited to build, operate, or improve intelligence. They will move too slowly, regulate too early, politicize the wrong things, and confuse economic participation with operational control.Andrew McAfee's “Why I Didn't Sign the AI Open Letter” is useful here. His objection is not that the technology is unimportant. It is that steering too hard before we understand the shape of the change can become its own failure mode. Marc Andreessen's satire of AI regulation is less policy than temperament, but it captures a real Silicon Valley fear: that regulation can become permission, capture, and incumbency before it becomes wisdom.That fear should be taken seriously.But it does not answer the economic question. It answers only the operational one.How can the economic benefits of intelligence be distributed? The better answer is a sovereign human wealth fund.Call it a sovereign wealth fund if you must, but the phrase is too national. Intelligence will not respect borders. The leading companies are global. The models, chips, data centers, agents, platforms, and workflows will be transnational from the beginning. If the value created by intelligence is global, then the mechanism for sharing some of that value should begin with the companies global enough to capture it. The nice thing about xAI, OpenAI, and Anthropic is that they are supranational.These companies own and operate intelligence. Let them compete. Let them profit. Let them keep the incentives that make the system improve. But if intelligence is the new water, the wealth it creates cannot belong only to the companies that meter it. And they, themselves, have the power to fix it, even more than governments.Access will become a Human Right; Ownership Is the Economic DesignThis is where human rights come in. There is no right to access an AI model, yet. But there will soon be a need to change that.Not as a claim that every person is entitled to every frontier model at every moment for free. That is not serious. Capacity has costs. Models have costs. Inference has costs. Data centers have costs. Although those costs will decline over time, possibly quite quickly as self-learning models address costs.The claim is more basic: in a world where intelligence becomes a primary input into education, work, health, science, citizenship, creativity, and economic agency, baseline access to intelligence starts to look like a civic requirement.That could mean public access layers. It could mean education credits. It could mean open models. It could mean AI dividends. It could mean public-interest compute. It could mean taxes on rents. It could mean a company-initiated human wealth fund that returns some of the upside to society without handing the operating system to the state. The latter could couple wealth growth with universal distribution of ownership.The exact mechanism matters. But the distinction matters more.Government should not own intelligence. It should be universally available. And people should have a claim on the wealth intelligence creates.The Frontier Is Also PhysicalThe abstraction is not weightless.“The Fight Against AI Data Centers Is Just Beginning”, “New York becomes the first state to enact a data center moratorium”, Reuters on pollution from Musk's xAI power project, and DataGravity's “Who Captures Value in AI Infrastructure?” all say the same thing from the ground up.Intelligence uses land. It uses power. It uses water. It uses chips. It uses grid capacity. It uses neighborhoods. It uses public patience.That makes the value question unavoidable. A society can accept the buildout if the buildout is legible as shared progress. It will resist it if the costs are local, the profits are private, and the benefits feel enclosed.Who Owns the “Loop”?The week ends where it began.“Anthropic and Blackstone” are betting that implementation is the next trillion-dollar business. “Vint Cerf” is working on identity for agents on the open internet. “GPT-Red” points toward systems that improve their own robustness. “Kimi K3” adds another open frontier model to the global mix.The model race continues. The deployment race is accelerating. The governance race is behind.My view is this:The central product of this era is intelligence. Companies have figured out how to capture it, package it, serve it, and meter it. That is good. It should stay in the hands of builders who have the incentive to make it better.But intelligence is too foundational to become just another private toll booth. A significant part of it will turn out to be free to users.As intelligence becomes a general-purpose resource, then access to it becomes a human-capability question, and the surplus from it becomes an economic-justice question. Not because government should run it. Because government should not run it. The operating layer belongs with companies. The wealth question belongs with everyone. But companies are best placed to turn that into a process of distribution.The question is not whether companies should build intelligence. They should.The question is whether humanity gets a stake in the wealth created by the thing that may soon become its most important shared input.Contents* Essays* Deirdre McCloskey on What Really Caused the Industrial Revolution* AI in an Age of Oligarchy* Elon Musk is building a form of capitalism that Adam Smith would hate* Murky Mirror: Truth and Consequences* The political economy of billionaire derangement* Is there any “oligarchy” to fight?* AI* Nearly 200 Economists and Tech Leaders Warn of A.I. Threats* Why I Didn't Sign the AI Open Letter* Own Your Weights* Ways to Think About Token Pricing* Alex Karp Is Saying What Every Angry CEO Is Thinking About AI* The AI Agents Are Coming for Microsoft Office* What Is Loop Engineering, and Who Owns It?* The Fight Against AI Data Centers Is Just Beginning* 6 months to live for open models* Americans Deserve a Dividend From AI Companies' Riches* Who Gets to Define the Frontier?* GPT-Red: Unlocking Self-Improvement for Robustness* Anthropic, Blackstone bet the next trillion-dollar AI business is implementation, not just models* Vint Cerf is working on a plan to unleash AI agents on the open internet* xai-org/grok-build, now open source* The Pulse: What can we learn from Bun's rapid Rust rewrite with AI?* Orphan risks at the frontier of artificial intelligence* The Lab of the Future Should Feel Like a Data Center* Why AMI Labs' Alexandre LeBrun won't call his AI “AGI” or “superintelligence”* Kimi K3 Tech Blog: Open Frontier Intelligence* Venture Capital* Three Years In* Venture Has Rarely Looked More Bifurcated* The Best Angel Investors in the US: Who Backs the Most Unicorns, and Who's Active Now* Are Prediction Markets Doomed to Fail?* Regulation* Exclusive: The Next Frontier of the Deportation Wars: College Campuses* The Supreme Court Broke Independent Agencies. Here's a Way to Slow the Damage.* India's crackdown on a new WhatsApp feature risks setting a global precedent* Let's build a children's public internet* Computer cops* Google is better at playing the AI regulations game* Infrastructure* Who Captures Value in AI Infrastructure?* New York becomes the first state to enact a data center moratorium* Pollution from Musk's unpermitted xAI power project hits hardest in Black communities* Interview of the Week* The End of the End of Geography* Startup of the Week* Radical AI's Joseph Krause: The Scientist Building The “Waymo” Lab For New Materials* Post of the Week* Marc Andreessen on AI RegulationEssaysDeirdre McCloskey on What Really Caused the Industrial RevolutionYascha Mounk and Deirdre McCloskey | Persuasion | July 11, 2026Yascha Mounk interviews Deirdre McCloskey about her argument that the modern world's economic liftoff came less from capital accumulation than from a change in ideas. McCloskey says both left and right versions of the conventional story rely too heavily on investment: the left stresses exploitation and surplus value, while the right stresses virtuous saving by capitalists. Her objection is historical and economic. Human beings had always invested, from irrigation works and Roman roads to seed grain, and simple accumulation quickly runs into diminishing returns.McCloskey's alternative is that northwestern Europe, first Holland, then Britain and Scotland, and then the North American colonies, developed a liberal ideology that changed who was allowed to innovate and be honored for it. The conversation links that shift to the erosion of inherited hierarchy, the spread of dignity for ordinary commercial life, and a moral vocabulary in which liberalism is not merely procedural but connected to virtues and values. The point is not that machines, coal, trade, and institutions did not matter, but that they do not explain the scale and timing of modern enrichment without a cultural permission structure for innovation.The interview also turns to the contemporary defense of liberalism. Mounk frames the series around the worry that liberalism is often treated as too thin to command allegiance, while its opponents speak more directly to moral passions. McCloskey's case is that liberal societies became rich because they dignified experimentation and ordinary enterprise, and that liberals need to recover the moral language behind that claim.Read moreAI in an Age of OligarchyPaul Krugman | Paul Krugman | July 12, 2026Paul Krugman frames AI as a major technological shock arriving inside an already unequal political economy. The post says AI's economic and social effects may take years to understand, but argues that the setting matters now: America has much greater wealth concentration and political inequality than it did in the 1950s and 1960s, when progressive taxation, stronger regulation, and more active antitrust might have contained some of the destructive effects of a new technology.Krugman's opening claim is that the same technology would likely have different consequences in a more level society. In today's United States, he writes, extreme wealth is both a cause and effect of policies that favor a small elite, including low effective taxes on capital and high incomes, weak enforcement of worker protections and antitrust, and cuts to programs that benefit ordinary Americans.The article is explicitly more about oligarchy than AI. Krugman says the paid sections document the rise of the “.0002%,” the economics and politics of extreme wealth, how oligarchy will shape AI's impact, and possible policy paths. His caveat is that AI itself may still produce a pushback against oligarchy, but absent that, he expects the pre-existing concentration of wealth and power to magnify AI's downsides.Read moreElon Musk is building a form of capitalism that Adam Smith would hateAuthor: Tim O'Reilly Published: July 12, 2026Tim O'Reilly argues that Elon Musk is using the legal forms of shareholder capitalism to escape the restraints that shareholder capitalism was supposed to impose. The article begins with SpaceX's public-market structure: ordinary public investors get little meaningful governance power, Musk keeps roughly 85 percent of the votes through super-voting shares, buyers waive jury trials and class actions, the company qualifies as controlled, and removal of Musk depends on the share class he controls. In O'Reilly's framing, that is not ordinary founder control; it is a design for being answerable to no one, possibly beyond Musk's own lifetime.The killer detail is the article's turn through Albert Hirschman, Montesquieu, James Steuart, Adam Smith, and Keynes. Older defenses of commerce held that markets would tame princely passions because the self-interest of merchants was safer than arbitrary rule. O'Reilly says Musk reverses that hope. The market discipline that was supposed to cage the prince has become the lever by which the prince raises capital, removes feedback loops, and carries private power into politics, government, Mars, robots, AI, or whatever ambition comes next.The pull is the link to AI governance. O'Reilly says corporations are already a kind of artificial intelligence: narrow-input systems that act at a scale no individual human can match. Their partial controls include independent boards, shareholder votes, courts, disclosure, regulators, public pressure, and activism. If the leaders building frontier AI strip those alignment mechanisms out of their own companies, the governance of the company becomes a preview of the governance of the machine.Read more: The EconomistMurky Mirror: Truth and ConsequencesAuthor: Esther Dyson Published: July 14, 2026Esther Dyson argues that today's institutional crisis is better viewed through the 14th century than through recent political history. Using Barbara Tuchman's A Distant Mirror as her frame, she compares a world of famine, plague, church schism, feudal predation, and purposeless war with a present in which institutions again feel brittle, incentives are badly aligned, and power is shifting into forms that are hard to govern.The killer detail is the historical analogy between land, corporations, and AI. Dyson moves from nobles who controlled serfs and territory, to the East India Company as a quasi-sovereign business, to today's AI systems and data centers as a possible new sector that crosses and weakens both nation-states and companies. The question is whether AI becomes a new kind of private land, owned by a new nobility, or an open prairie that many people can cultivate.The pull is human attention. Dyson says the central question is not what AI will do to people, but how people will react to it: whether they can value love, kindness, embodied attention, and artisanal human presence in a world of seductive artificial offerings.Read more: SourceThe political economy of billionaire derangementAuthor: Henry Farrell Published: July 15, 2026Henry Farrell argues that the visible political radicalization of some Silicon Valley billionaires is not a random personality quirk, but a product of the political economy that made them. Starting from Tyler Cowen's dismissal of “billionaire derangement syndrome” and Tim O'Reilly's warning that Elon Musk is using shareholder capitalism to escape shareholder restraint, Farrell flips the phrase: the question is why billionaires themselves can become deranged.The killer detail is Farrell's use of Peter Thiel as both theorist and example. Thiel's Stanford lectures described startups as monarchies and founders as figures vested with unusual power, while Silicon Valley culture rewarded eccentricity, monopoly ambition, and founder exceptionalism. Farrell says those ideas combined with dense founder-investor networks, peer rivalry, and weak correction mechanisms to amplify rather than discipline princely appetites.The pull is the ideological problem for classical liberals who once saw tech wealth as an ally of markets and freedom. Farrell says commerce did not tame the passions; in parts of Silicon Valley, the passions have begun to devour markets, institutions, and the liberal story that justified them.Read more: SourceIs there any “oligarchy” to fight?Matthew Yglesias | Slow Boring | July 16, 2026Matthew Yglesias argues that “oligarchy” is a rhetorically powerful but analytically loose way to describe American politics. The post begins from Bernie Sanders' “Fighting Oligarchy” tour, Amy Klobuchar's warning about a MAGA “broligarchy,” and the long afterlife of the Martin Gilens and Benjamin Page paper that was widely summarized as showing that only the rich matter in policy outcomes. Yglesias says the evidence supports a weaker claim: affluent people and business leaders have unusual access and influence, but that is not the same as rule by a small cabal.His main distinction is between inequality and oligarchy. The Gilens-Page measure treated the top 10 percent of households as “the wealthy,” and later critics found that rich and middle-class preferences usually align; in the cases where they differ, the rich win about 53 percent of the time. Yglesias also says business executives get special access partly because their decisions are materially important to communities, jobs, investment, and local tax bases, not only because of campaign donations.The post preserves Jerusalem Demsas' counterpoint from their podcast discussion: privileged donor and business access can still violate democratic equality even if the oligarchy label overstates the structure of power. Yglesias' narrower claim is that Democrats should be precise about what problem they are trying to solve, because donor influence can also push the party left on climate and cultural issues in ways that alienate many voters.Read more: Slow BoringAINearly 200 Economists and Tech Leaders Warn of A.I. ThreatsAuthor: Ben Casselman Published: July 13, 2026Ben Casselman reports on “We Must Act Now,” a statement warning that artificial intelligence could transform the economy faster than any previous technology and that policymakers need to move faster to understand and respond. The statement says AI may become radically more powerful over the next 10 years, bringing risks such as large-scale job displacement as well as opportunities such as higher living standards. Nearly 200 people signed, including 15 Nobel laureates, the chief economists of OpenAI and Anthropic, Anthropic co-founder Jack Clark, former Google CEO Eric Schmidt, and venture capitalist Vinod Khosla.The killer detail is who joined the warning. Casselman notes that the signatories include economists who have historically been skeptical of Silicon Valley's most dramatic AI job-loss forecasts, including Daron Acemoglu and Simon Johnson, the MIT professors who won the 2024 Nobel in economics. Erik Brynjolfsson, who helped organize the statement, says there has been a notable change in the profession and that economists and policymakers are not ready for the “tsunami” he sees coming.The pull is the measurement problem. The statement does not offer a specific policy menu, but calls for economists, policymakers, and industry leaders to understand the economics of transformative AI and steer it toward complementing humans. Brynjolfsson says one high priority is better data on AI's spread and impact, because current measures tell conflicting stories about job losses and which workers are most exposed.Read more: The New York TimesWhy I Didn't Sign the AI Open LetterAuthor: Andrew McAfee Published: July 13, 2026Andrew McAfee explains why he did not sign “We Must Act Now,” the AI economy statement organized in part by his longtime collaborator Erik Brynjolfsson. McAfee agrees with the letter's starting point that AI is likely to become radically more powerful over the next decade and that it is a general-purpose technology. His objection is not to urgency or to studying AI's economic effects, but to the framing of risk, displacement, and institutional steering as the first move.The killer detail is McAfee's line edit. He says the original letter comes close, then “bounces off the crossbar” by calling for incentives, guardrails, and institutions to steer AI before we know enough about its actual impacts. He points to mixed current evidence: labor-market canaries, but also rising software job postings, low unemployment for younger workers, rising real median income, and claims that AI-adopting companies are adding workers faster than low-adopting peers. His worry is that the letter leans toward upstream governance and dirigisme when the evidence may call for capability building instead.The pull is his replacement statement. McAfee keeps the three-paragraph structure but changes the emphasis: AI is likely to become radically more powerful; like earlier world-changing technologies it will raise living standards while also bringing harms and shocks; and economists, policymakers, and technology leaders should build the capabilities to respond quickly and effectively. It is a concise version of the permissionless-innovation case inside the AI policy debate.Read more: The Geek WayOwn Your WeightsAuthor: Jamin Ball Published: July 10, 2026Jamin Ball argues that the enterprise AI debate about whether companies should “own their weights” or rent models from frontier labs is asking too narrow a question. A model weight file gives a company control over a point-in-time artifact, but not durable control over the capability stack. In his framing, the weight file is a melting ice cube: it does not get worse in absolute terms, but it falls behind as frontier systems improve and enterprise needs change.The killer detail is what Ball says companies really need to own: the data flywheel, reinforcement learning infrastructure, and evaluation harness that produce and improve the model. Simply deploying an open-weights model and declaring sovereignty leaves the enterprise with yesterday's capability and no way to compound workflow-specific learning.The pull is that enterprise AI control may be less about model ownership than operating ownership. The defensible layer is the system that turns company data, edge cases, business definitions, and evaluations into continuously improving performance.Read more: Clouded JudgementWays to Think About Token PricingAuthor: Benedict Evans Published: July 9, 2026Benedict Evans argues that today's AI token prices are a temporary signal from a supply-constrained market, not a reliable guide to long-term value capture. The open question is whether foundation models keep durable pricing power or become commodity infrastructure as data-center capacity, inference efficiency, and model competition all shift. His current read is that the visible market dynamics point toward commoditization unless something materially changes.The killer detail is the mobile data analogy. Evans says cellular networks became a trillion-dollar industry with hundreds of billions in capex after data usage exploded, but carrier stocks went nowhere because value moved up the stack. Tokens may behave similarly: an opaque unit tied to marginal cost, sold through bundles, essential to everything, yet not necessarily where profits accrue.The pull is uncertainty, not prediction. Evans lists paths to model dominance, including network effects, less competition, regulation, export controls, or a lab pulling ahead on execution, but says each requires a new fact not yet visible. Without that change, the model layer looks more like infrastructure beneath the products that capture value.Read more: SourceAlex Karp Is Saying What Every Angry CEO Is Thinking About AIAuthor: Tim Higgins Published: July 11, 2026Tim Higgins reports that Palantir CEO Alex Karp has turned corporate frustration with AI labs into a public argument about enterprise control. Palantir released a white paper, “Institutional Sovereignty in the Age of AI,” laying out steps companies and governments can take to protect themselves from OpenAI, Anthropic, and other foundation-model providers. The article links that paper to Karp's CNBC appearance, where he said “something has gone completely wrong” in the relationship between AI labs and customers and argued that enterprises are paying for tokens that create little value.The killer detail is the value-capture question. Higgins writes that Karp's critique has resonated because AI labs may gain power and insight from customer data, workflows, and decision-making, even when enterprise policies say customer data are not used for training. David Sacks amplified the concern by arguing that Anthropic is moving from the model layer into vertical applications such as science, security, legal, and coding, raising the fear that model providers will watch where value is being created and then move into those markets directly.The pull is that Karp is not alone, even if his style is unusually combative. Higgins notes that Satya Nadella has also warned that companies need to retain the learnings created when they use AI models, while Mark Zuckerberg has framed Meta's new model release partly around lower-cost frontier intelligence. The article presents Karp's campaign as one sign that established technology companies and large enterprises are trying to define where they fit when AI labs become central infrastructure, application competitors, and potential IPO giants at the same time.Read more: The Wall Street JournalThe AI Agents Are Coming for Microsoft OfficeAlex Wilhelm | Cautious Optimism | July 11, 2026Alex Wilhelm argues that one of the week's quieter AI questions is whether the productivity market that Microsoft successfully moved into subscription software is now being attacked by agentic tools. The piece begins with the infrastructure backdrop: SK Hynix raised $26.5 billion in a U.S. listing while building U.S. HBM and advanced-packaging capacity, and memory, chip, and foundry companies are now priced for sustained AI demand.Wilhelm then says the AI conversation has shifted quickly from raw capability to cost per task. He cites new model releases and vendor language emphasizing cheaper agentic and coding models, faster performance, and lower dollars per task. That matters because lower costs make it more plausible for AI systems to take on routine knowledge work at scale rather than remain a premium coding assistant market.The core of the article is Microsoft Office. Wilhelm notes that Microsoft turned Office from a one-time purchase into Microsoft 365, a large recurring revenue business with tens of millions of subscribers and a major productivity segment. Now, he says, late-stage unicorns and AI labs are pushing into the same territory: Anthropic's Cowork was reportedly used mostly outside software development, OpenAI merged ChatGPT and Codex into a tool for creating sheets, slides, docs, web apps, and long-running work, and other companies are building agentic coworkers that connect business data to documents, workflows, schedules, alerts, and apps.The article's caveat is that Microsoft has survived major platform shifts before. The argument is not that Office disappears quickly, but that the definition of office software is broadening from documents and spreadsheets into AI systems that can create, monitor, and act across workplace data.Read moreWhat Is Loop Engineering, and Who Owns It?Author: Nilesh Barla Published: July 11, 2026Nilesh Barla argues that “loop engineering” is becoming a distinct discipline because production AI agents now fail less at single prompts than at runtime: when to stop, what state to preserve, and how to recover after a bad step. Prompt engineering shapes one model call, and context engineering shapes what the model sees, but loop engineering shapes what a sequence of calls actually does.The killer detail is the three-primitives frame. Barla says a real agent loop needs halt conditions, state carryover, and recovery paths, then maps teams across five maturity levels. At the lowest level, an agent is just a model call in a for-loop with a step cap and raw history; by the higher levels, the system has structured state, explicit planning, replay, evaluation, and self-repair.The pull is organizational. If agents are becoming production systems rather than demos, someone has to own the runtime itself. The loop engineer is the role Barla gives to the person responsible for making long-running agent work dependable.Read more: Adaline LabsThe Fight Against AI Data Centers Is Just BeginningEmma Roth | The Verge | July 12, 2026Emma Roth argues that community resistance to data centers has moved from an early warning sign into a national political fight as AI facilities grow larger, more power-hungry, and more visible to nearby residents. The article starts with Apple's failed 2015 plan for a $1 billion data center in Athenry, Ireland, where a small group of residents challenged the project over noise, light pollution, flooding, traffic, and wildlife effects until Apple abandoned it in 2018.The current data-center buildout is presented as much larger and more contentious. Roth writes that residents now cite rising energy costs, water quality, noise, light pollution, and greenhouse gas emissions, while the U.S. Energy Information Administration expects commercial energy demand to surpass residential demand this year because of AI data centers and Goldman Sachs expects data-center power demand to double by 2027.The central evidence comes from Data Center Watch, which says protesters blocked or delayed at least 75 U.S. projects worth $130 billion from January to March, with active opposition groups more than doubling from 396 at the end of 2025 to 833 by the end of the first quarter of 2026. Roth also cites QTS abandoning a $12 billion Wisconsin campus, Delaware City regulators blocking a 580-acre project under the Coastal Zone Act, opposition stopping a QTS project in Prince William County, and pressure that pushed Kevin O'Leary to downsize the proposed 40,000-acre Project Stratos in Utah.The policy section describes a split between federal acceleration and local resistance. President Trump has treated data centers as part of the AI race with China and fast-tracked construction, while some Republican candidates are distancing themselves from that position ahead of midterms. Sanders and Ocasio-Cortez have proposed a moratorium until price and environmental protections exist, bipartisan lawmakers are backing ratepayer-protection measures, and states including Florida, Idaho, and Washington have passed rules on cost shifting, water use, and tax breaks. Roth's caveat is that the policy patchwork is still incomplete, leaving many communities to fight project by project.Read more6 months to live for open modelsAuthor: Nathan Lambert Published: July 12, 2026Nathan Lambert argues that open-weight AI models are facing their most serious policy test so far because U.S. officials are beginning to discuss concrete controls rather than abstract safety concerns. He says reported White House conversations about a new executive order may initially target Chinese-origin models and government use, but could create a broader review habit for frontier open models. His forecast is that a model above the capability range of GPT-5.5, Claude Opus 4.8, or GLM-5.2 could trigger a ban or indefinite delay within six months.The post separates two policy fights that are becoming intertwined: distillation and frontier capability. Lambert says the distillation campaign against Chinese models has become a form of regulatory capture because Anthropic and other closed-model companies would gain economically if Chinese open models were banned. He does not dismiss IP protection, but argues that if a closed model's capabilities are dangerous enough to justify restricting open models, the lab also has to explain why those capabilities are exposed through a queryable API. He cites unauthorized access to Anthropic's Mythos private beta as evidence that APIs are not automatically secure.The broader claim is that a unilateral U.S. ban would hurt positive actors more than bad actors if comparable open models remain available elsewhere. Lambert says the only durable ceiling would require global agreement, which does not exist, and that open models can improve safety by allowing broad inspection, adaptation, and understanding. His proposed near-term off-ramps are a strong U.S. open model release from companies such as Microsoft, Meta, or Reflection, and a broader coalition of open-source beneficiaries lobbying for safe rollout rather than prohibition.Read more: SourceAmericans Deserve a Dividend From AI Companies' RichesAuthor: Scott Stanford Published: July 14, 2026Scott Stanford argues that proposals to give the government a stake in AI companies miss the point unless ordinary citizens directly receive and control the upside. Sam Altman has discussed giving up equity in OpenAI, Washington already owns a stake in Intel, Nvidia is sharing China chip revenue, and Bernie Sanders wants large AI labs to contribute half their stock to a sovereign wealth fund. Stanford says those ideas all park value with the state, not with people.The killer detail is New Carlisle, Indiana, where AWS's Project Rainier is turning cornfields into one of the world's largest AI superclusters. The project is planned to run up to a million chips, draw more than two gigawatts of power, and represents an investment that has grown from $11 billion to $13.8 billion. Stanford uses that local transformation to argue that AI's public bargain should be visible at the household level.The pull is design. A citizen AI dividend would have to specify who earns a stake, how they hold it, and when they see cash. Without that mechanism, the AI wealth debate remains a fight over government balance sheets rather than public ownership.Read more: SourceWho Gets to Define the Frontier?Author: Mark Daley Published: July 14, 2026Mark Daley argues that Demis Hassabis is right to call for a serious institution to verify frontier AI systems, but that the power to test models is also the power to govern them. Hassabis's proposed Frontier AI Standards Body would get privileged pre-release access to advanced models, testing compute, held-out evaluations, support from national labs and security agencies, third-party auditors, and eventually authority to block models from the American market or coordinate a slowdown.The killer detail is Daley's constitutional objection. He says the proposal sometimes looks like a scientific lab, a standards body, an industry regulator, a licensing authority, and an emergency security council at once. Combining those roles because each requires technical expertise would be like putting the central bank, auditor-general, and Supreme Court in one building and calling it efficient.The pull is standard-setting. Daley's concern is not that verification is unnecessary, but that whoever writes the tests, decides what passes, adjudicates disputes, and grants market access may end up defining the frontier itself.Read more: SourceGPT-Red: Unlocking Self-Improvement for RobustnessOpenAI | OpenAI | July 15, 2026OpenAI describes GPT-Red as an internal automated red-teaming model trained to find prompt-injection vulnerabilities at a scale human red teams cannot match. The post says AI systems increasingly encounter third-party data through browsers, connected apps, local files, and tools, creating opportunities for malicious instructions hidden in emails, webpages, tool responses, or code repositories. Human red-teaming remains part of OpenAI's safety process, but the company says it is time-intensive and cannot generate enough diverse adversarial examples for model training.The system is trained through self-play reinforcement learning, with GPT-Red rewarded for eliciting valid failures and defender models rewarded for resisting attacks while still completing their tasks. OpenAI says the training environments specify threat models across settings such as local files, webpage banners, email bodies, and tool outputs. The model is kept separate from deployed production models because it is intentionally trained with malicious capabilities.OpenAI reports that GPT-Red generalized beyond its training set, including an internal replication of the indirect prompt-injection arena from Dziemian et al. (2025), where it found successful attacks in 84% of scenarios compared with 13% for human red-teamers. The post also says GPT-Red transferred attacks from simulation to a live autonomous vending-machine agent, causing price changes and order cancellations, and outperformed a prompted GPT-5.5 baseline against a Codex CLI agent on held-out data-exfiltration tasks.The article's main robustness claim is that OpenAI has used GPT-Red and predecessor models in training since GPT-5.3, with later GPT releases becoming more resistant to prompt injections. It says GPT-5.6 Sol has six times fewer failures on OpenAI's hardest direct prompt-injection benchmark than the best production model from four months earlier, that a “Fake Chain-of-Thought” attack class fell from more than 95% success against GPT-5.1 to below 10% against GPT-5.6 Sol, and that GPT-5.6 Sol fails on only 0.05% of GPT-Red's direct prompt injections. OpenAI says general capabilities and targeted over-refusal evaluations were not harmed, and says a preprint with more details will follow.Read moreAnthropic, Blackstone bet the next trillion-dollar AI business is implementation, not just modelsRebecca Bellan | TechCrunch | July 15, 2026Rebecca Bellan reports that Ode with Anthropic is the $1.5 billion AI implementation company launched by Anthropic with Blackstone, Hellman & Friedman, Goldman Sachs, and other backers. The article says the venture reflects a growing belief among frontier AI labs that enterprise adoption requires more than better models: customers need engineers who can embed inside businesses and turn AI into working systems.Ode was originally conceived by Blackstone after it used both large consulting firms and smaller AI services boutiques across its portfolio companies. TechCrunch reports that Fractional AI, an AI engineering services startup, stood out and was acquired by the joint venture shortly after the venture was announced. Fractional now forms the foundation of Ode, which has 100 engineers and works closely with Anthropic's applied AI team to identify where the technology can affect specific businesses.Ode CEO Chris Taylor tells TechCrunch that the company could someday become a trillion-dollar business if it scales without losing quality. He says an ideal customer is one whose CEO treats the AI project as a top one or two priority, whether it is a major product feature or the reworking of a core business process. Ode will operate under a “Claude-first” principle, using Anthropic technology whenever possible, but the article says it can use rival AI products when needed.The article's central implementation argument comes from Ode chief technologist Eddie Siegel, who says model selection matters but is not where most of the engineering effort goes. He compares it to the choice of programming language in software: one ingredient in a system that still has to be engineered. Bellan writes that Ode's challenge is hiring and training enough elite generalist engineers, many of them former founders, while competing with OpenAI's The Deployment Company and consulting giants that have built their own forward-deployed engineering teams.Read moreVint Cerf is working on a plan to unleash AI agents on the open internetTim Fernholz | TechCrunch | July 15, 2026Tim Fernholz reports that Vint Cerf, after leaving Google, is advising Innovation Labs on an open architecture for identifying AI agents online. Innovation Labs is a subsidiary of Identity Digital, a DNS registry company, and its proposal is to use domain-name infrastructure as part of a system for agent identity, accountability, and auditability. The premise is that agents will need a way to identify themselves if they move beyond proprietary systems and begin interacting across the open internet.The concrete proposal is DNSid, a registry that links an AI agent to an existing internet domain and uses cryptographic proofs to log its registration over time. Innovation Labs says it is trialing the standard with unnamed hyperscalers and identity companies. Cerf frames the problem around authority and accountability: what authority an agent has, where that authority came from, who is accountable for the agent's behavior, how its identity is established, and why anyone should trust it.The article's caveat is that standards are still emerging and agents are more active than static domains. Cerf says the period may be both fascinating and exasperating because the functionality is powerful and interoperability is unresolved. He compares the adoption problem to TCP/IP: competing systems may not work together until users push for functional interoperation. He also says an agentic economy is not inevitable, but that people will try to build it because delegating work to agents will be easier.Read more: TechCrunchxai-org/grok-build, now open sourceAuthor: Simon Willison Published: July 15, 2026Simon Willison argues that xAI's decision to open-source Grok Build is best understood as a trust repair move after a severe privacy failure. The CLI had triggered backlash when users realized that running it in a directory could upload the entire directory to xAI's Google Cloud buckets, including one user's reported SSH keys, password manager database, documents, photos, and videos. xAI disabled the feature, said previously retained coding data would be deleted, and released the code under Apache 2.0.The killer detail is what the codebase reveals. Willison counts 844,530 lines of Rust, only about 3% of which appears vendored, and finds remnants of the upload system still present but disabled: gcs.rs contains Google Cloud upload code, while upload_session_state() now returns a hard-coded session_state_upload_unavailable error. He also notes copied or ported tool implementations from Codex and OpenCode, prompt files, and a terminal Mermaid renderer.The pull is that terminal coding agents are becoming large, intricate software systems in their own right. The privacy failure mattered because these tools operate inside the directories where developers keep their most sensitive work; the open-source release matters because trust now depends on inspecting what an agent can see, send, and do.Read more: SourceThe Pulse: What can we learn from Bun's rapid Rust rewrite with AI?Author: Gergely Orosz and Ivan Klaric Published: July 16, 2026Gergely Orosz and Ivan Klaric argue that Bun's AI-assisted rewrite from Zig to Rust is a practical sign of how software engineering changes when models can take on large, bounded migrations with clear feedback loops. The piece does not treat the rewrite as magic: Jarred Sumner first spent hours turning design judgment into a detailed porting guide, then used adversarial review, parallel agents, compiler errors, and tests to force the work toward correctness.The killer detail is the scale. Bun had 535,496 lines of Zig, 1,448 files, and 22 million monthly downloads, making a conventional rewrite a year-long freeze the team could not justify. Using Fable, Sumner split the work across 64 agents, produced about 6,500 commits, and got the migration done in 11 days at an estimated API cost of $165,000.The pull is economic, not theatrical. If a one- or two-year migration can become an 11-day project, AI coding is not just faster autocomplete; it changes which technical debts are worth paying down.Read more: SourceOrphan risks at the frontier of artificial intelligenceAuthor: Andrew Maynard Published: July 16, 2026Andrew Maynard argues that frontier AI safety frameworks are creating “orphan risks”: harms that companies can see, but do not formally own because they are hard to quantify, do not fit catastrophic-risk thresholds, or fall outside audit-friendly compliance machinery. His target is not existing frontier safety work, but the narrowing effect that happens when private companies decide which risks count as governable.The killer detail is Maynard's contrast between measurable model dangers and threats to value. He points to Meta's three-day Galactica collapse, OpenAI's 2023 board crisis, safety-team departures, and wellbeing litigation as examples of risks that damaged trust, culture, legitimacy, or users without fitting cleanly into conventional model-risk categories. The proposed fix is an orphan-risk register: a public record of risks a company considered and chose not to manage, with reasons.The pull is accountability. Frontier developers' internal scoping choices have become a de facto layer of public governance, so the question is no longer only which risks they manage, but which risks they quietly leave outside the frame.Read more: SourceThe Lab of the Future Should Feel Like a Data CenterLatent.Space with Andy Beam and Rafa Gomez-Bombarelli | Latent.Space | July 16, 2026Latent.Space interviews Lila Sciences CTO Andy Beam and chief science officer for physical sciences Rafa Gomez-Bombarelli about the company's attempt to build an AI-run science factory. The post describes Lila's thesis as treating the lab itself as an “infinite token generator”: if internet data drove the first era of AI scaling, experimentally verified scientific data may be the next scarce training source. Lila is trying to produce that data with robotics, lab instruments, orchestration software, and AI models wired into the wet lab.The central analogy is the lab as data center. Instruments are nodes on a graph, a magnetically levitating transport layer moves materials between them, and experiment scheduling looks like a compute queue. Beam says Lila is not simply an automation company, because the point is not just throughput; it is flexibility, generalization, and experiment capture. The post says Lila has built more than 10 trillion experimentally validated “scientific reasoning tokens,” not internet text or biological sequences.The interview ranges across biology, chemistry, drug discovery, materials science, and the limits of automation. It notes that Lila rebuilt one gas-sorption measurement to run roughly 2,500 times faster, claims its general models can transfer priors from small-molecule chemistry to metal-organic frameworks for carbon capture, and describes model-suggested platinum-group-free electrocatalysts that moved from looking boring or wrong to becoming strong performers. The caveats are physical: experiments have runtimes, biology cannot always be accelerated, chains of thought can be unreliable narrators, and reward hacking becomes more dangerous when a model controls a real lab.Read more: Latent.SpaceWhy AMI Labs' Alexandre LeBrun won't call his AI “AGI” or “superintelligence”Kate Park | TechCrunch | July 16, 2026Kate Park interviews AMI Labs CEO Alexandre LeBrun about why Yann LeCun's world-model startup avoids the language of “AGI” and “superintelligence.” LeBrun says the terms are not useful because they lack stable definitions: “We never used the word AGI. And I just noticed that nobody is using it anymore; they switched to superintelligence.” His argument is that the practical frontier is not a label, but whether AI systems can understand and predict real-world states.The article explains the world-model thesis by contrasting language prediction with physical-state prediction. A large language model predicts the next word; a world model predicts the next state, such as what happens when a glass tips over. LeBrun says LLMs remain complementary and efficient for language, but the physical world is where current AI is weak. Robotics is the clearest case: hardware has advanced quickly, but robots are still brittle outside controlled routines because they lack context and situational understanding.AMI is still pre-product, but TechCrunch reports that LeBrun was in Seoul looking for industrial partners, researchers, and global companies. He says world models cannot be built entirely inside a lab because they need access to real environments. That is why South Korea appeals to AMI: robotics, semiconductors, manufacturing, and fast adoption create the kind of hardware-heavy context that software-only AI has barely touched.Read more: TechCrunchKimi K3 Tech Blog: Open Frontier IntelligenceKimi | Kimi | July 16, 2026Kimi introduces Kimi K3 as an open 3T-class frontier model aimed at coding, knowledge work, reasoning, multimodality, and long-context agentic use. The source describes the model as a 2.8T-parameter system built on Kimi Delta Attention and Attention Residuals, with native multimodality and a 1M-token context window. It says Moonshot AI plans to release model weights by July 27.The post presents K3 through benchmark and use-case sections rather than as a general product announcement. It reports results across coding, productivity, agentic, and multimodal evaluations, including DeepSWE, Terminal-Bench 2.1, Program Bench, SWE Marathon, FrontierSWE, PostTrain Bench, OfficeQA Pro, SpreadsheetBench 2, MCP Atlas, AutomationBench, BrowseComp, GDPval-AA v2, AA-Briefcase, MMMU-Pro, MathVision, BabyVision, OmniDocBench, and PerceptionBench. The source says all reported K3 results use maximum reasoning effort with temperature and top-p set to 1.0, and that different benchmark comparisons use KimiCode, Claude Code, or Codex harnesses depending on the test.Kimi's caveats are unusually concrete. The limitations section says K3 was trained in preserved thinking-history mode, so quality may become unstable if an agent harness does not pass historical thinking content correctly or if an ongoing session switches to K3 midstream. It also says K3's emphasis on long-horizon tasks can make it excessively proactive when it encounters minor issues or ambiguous intent, and recommends imposing explicit behavioral constraints for applications that require strict boundaries. The post adds that K3 remains behind Claude Fable 5 and GPT 5.6 Sol in user experience despite being competitive overall.Read moreVenture CapitalThree Years InAuthor: Tomasz Tunguz Published: July 10, 2026Tomasz Tunguz marks Theory Ventures' third anniversary by arguing that AI's central market effect is time compression. In his telling, model release cycles, company revenue milestones, enterprise adoption, and venture categories have all accelerated. Seed, Series A, and Series B still exist as financing labels, but they no longer cleanly describe company maturity when some seed rounds are larger than IPOs and the best AI companies can mature much earlier than prior software companies.The killer detail is the shift from models to inference. Tunguz argues that inference has become the dominant AI market because workloads and buyer preferences are fragmenting: video, batch, local, agentic, and real-time tasks each create different infrastructure needs. He compares this to databases splitting into OLTP, OLAP, vector, and streaming categories, with AI pushing the same specialization into inference infrastructure.The pull is that Theory sees the AI-native venture firm as part of the same pattern. The firm says it has analyzed twice as many investment opportunities with three investors working alongside a nine-person intelligence organization, using agents and research systems to map markets, source companies, and support diligence. The piece is both a market map and a statement about how venture itself is being rebuilt by the technology it funds.Read more: LinkedInVenture Has Rarely Looked More BifurcatedAuthor: Beezer Clarkson Published: July 14, 2026Beezer Clarkson points to PitchBook's Q2 report as evidence that the U.S. venture market has split into two very different realities. AI now accounts for more than 60 percent of all U.S. venture deal value, meaning the headline market can look active and well-funded even while much of the non-AI market is dealing with a much colder liquidity and fundraising environment.The thread uses that split as the setup for Clarkson's latest Origins episode with Alec Litowitz, founder of Magnetar and QStar Capital and one of Citadel's original founding partners. Clarkson says markets like this are periods of genuine uncertainty, not merely ordinary risk, which is why Litowitz's Adaptability Quotient framework is relevant.The embedded clip makes the liquidity point concrete. Litowitz says DPI is “the resolution of uncertainty” because it converts an uncertain investment into actual cash returned to LPs. In his framing, a realized dollar is a real mark, while TVPI remains uncertain until it is realized.The killer detail is the distinction between pricing risk and resolving uncertainty. Litowitz's perspective matters because QStar is a SpaceX investor and Clarkson says the conversation happened just before one of venture's most consequential IPOs. The episode's stated questions are why venture remains a way to gain exposure to innovation, how AI is changing what is investable, why liquidity is ultimately a function of time, and why uncertainty requires a different decision framework from risk.Read more: XThe Best Angel Investors in the US: Who Backs the Most Unicorns, and Who's Active NowAuthor: Ilya Strebulaev Published: July 10, 2026Ilya Strebulaev ranks angels, angel groups, accelerators, and incubators by lifetime U.S. unicorn investments, counting checks written before a company reached unicorn status. The top of the combined list is dominated by organizations: Y Combinator leads with 113 unicorn investments, followed by Plug and Play at 52 and 500 Global at 41. Sand Hill Angels is the highest-ranked angel group at 31.The killer detail is how quickly the list changes below the biggest accelerators. Strebulaev says 271 of the 304 investors in the Top 200 are individuals, or 89%. In the top 100, individuals are 91%. That makes the market underneath the large accelerator counts look much more personal: mostly operators and individual angels writing early checks from their own networks.The pull is the ranking's own caveat. Strebulaev writes that every lifetime leaderboard has a blind spot because many of the unicorns behind those totals were founded a decade or more ago, and some angels have since moved into formal funds, slowed down, or stopped investing. His post therefore separates lifetime performance from recent cohorts, including companies founded in 2015 or later and 2020 or later. For founders or allocators making current decisions, that distinction matters: a career record and a current record are not the same measure.Read more: Ilya StrebulaevAre Prediction Markets Doomed to Fail?Author: Contrary Published: July 16, 2026Contrary argues that prediction markets' current boom depends on whether platforms can prove they are more than regulated gambling with exchange-style branding. Kalshi and Polymarket have reached mass cultural, investor, and regulatory attention, but the article says the underlying idea is old: academic markets, corporate forecasting tools, Intrade, PredictIt, and other predecessors all struggled with the same linked problems of liquidity, legality, and user appeal.The killer detail is the comparison with sportsbooks. Prediction markets present themselves as peer-to-peer, transparent, and non-house-based, but sports contracts reportedly account for more than 90 percent of Kalshi trading, and the article says the platforms keep a much thinner slice of volume than sportsbooks. A market can therefore show sports-betting-scale handle while generating far less revenue.The pull is that the product's hardest problem may be distribution of wins. If a small group of sharp traders captures most profits while casual users lose interest, prediction markets may become valuable data feeds and professional tools before they become durable consumer networks.Read more: SourceRegulationExclusive: The Next Frontier of the Deportation Wars: College CampusesAuthor: Adrian Carrasquillo Published: July 11, 2026Adrian Carrasquillo reports that college campuses are becoming a new front in the fight over immigration enforcement because automatic license plate readers can turn ordinary campus security infrastructure into searchable location data. His thesis is that Flock Safety's camera network, even without direct ICE or DHS contracts, can feed deportation enforcement through local police partnerships and data-sharing practices.The killer detail is the campaign target. The Emergency Campaign to Support Higher Education, working with Schools Drop ICE, is focusing on 75 colleges and universities publicly identified as having Flock contracts. Flock says it has no ICE or DHS contracts, but activists argue the risk comes through local agencies that coordinate with federal authorities and run searches on their behalf.The pull is broader than immigration. Carrasquillo notes that license plate readers have already been abused by officers for stalking, and that Flock's AI search features can identify more than plates, including bumper stickers. A campus safety tool can become a political surveillance system when the data layer is searchable.Read more: The BulwarkThe Supreme Court Broke Independent Agencies. Here's a Way to Slow the Damage.Author: Todd Phillips Published: July 12, 2026Todd Phillips argues that the Supreme Court's decision in Trump v. Slaughter damaged independent agencies by ending for-cause removal protections, but did not leave Congress powerless. The ruling weakens the old model in which commissioners at bodies such as the FTC, NLRB, CPSC, SEC, and CFTC could be insulated from dismissal over policy disagreements. Phillips says the next fight is whether presidents can turn nominally bipartisan commissions into one-party instruments.The killer detail is the procedural fix: quorum rules. Phillips proposes that Congress require bipartisan slates of commissioners to be seated before independent agencies can act. A president could still fire commissioners, as the Court now permits, but if those firings broke quorum, the agency would be unable to proceed until replacements were confirmed. The guardrail would

This week's video transcript summary is here. You can click on any bulleted section to see the actual transcript. Thanks to Granola for its software.There was an issue with this only going to paid subscribers, so sending it again. Apologies to those who get it twice. I appreciate being paid so feel free to upgrade if you enjoy TWTW.EditorialIntelligence: Who Owns it?This week the word “AI” feels too small.AI is a technology. Intelligence is its product. And if intelligence is the product, the question is no longer just: Which model is best? Who has the cheapest tokens? Who owns the weights? Who controls the data center? Those are important questions, but they are lower in the stack.The bigger question is simpler and more political:Who owns intelligence?That sounds abstract until you make it concrete. Intelligence is becoming something companies can capture, package, serve, meter, route, improve, and sell.It can write code, answer questions, design molecules, automate offices, run agents, draft legal work, advise scientists, serve consumers, and reshape workflows. It is not merely software. It is a general-purpose capability. And all humans could benefit from more of it.General-purpose capabilities have a habit of becoming public questions. But the default answer, that public good is best delivered by government, is the wrong answer in this context.The Product Is IntelligenceWe should stop talking about AI as a feature and start talking about intelligence as the universal thing that is delivered as an input to the world.Water is an input. Electricity is an input. Literacy is an input. Connectivity is an input. Once a society depends on them, access stops being optional. Nobody needs government to build every well, power plant, school, or network. But everybody understands that a civilization cannot be organized around less than universal and reliable access to foundational inputs.Intelligence is reaching that level of importance now that we all know it is real.Government should not own it, operate it, or develop it. Quite the opposite. Companies are the right actors to build fast, compete hard, improve models, serve customers, and discover the real use cases. Self-interest is a useful framing here. Markets are good at finding demand, reducing costs, and turning invention into services people actually use.Companies are the right operators, developers, and owners. But that does not settle the real question of who owns the benefits. That is an economic question.If intelligence becomes metered infrastructure, what happens to the value it creates?The Ownership StackThis week's articles keep circling the same issue from different directions but in the nature of ‘circling' never quite nail it.Jamin Ball's “Own Your Weights” starts with the enterprise version of the question. Owning a model file is not enough. The durable asset is the loop: the data flywheel, the evaluations, the reinforcement system, the workflow learning, and the operating context that lets capability compound.Benedict Evans' “Ways to Think About Token Pricing” adds the market layer. Tokens may become essential, abundant, and cheap, like mobile data. But being essential does not guarantee that the token layer captures the value. The money may move up the stack to whoever owns the workflow, the customer, the distribution, or the application.Alex Karp's fight with the labs, reported in “Alex Karp Is Saying What Every Angry CEO Is Thinking About AI”, is the same argument in sharper enterprise language. Companies are afraid that model providers will not just sell intelligence, but learn from customer workflows and then move into the markets where those workflows create value. The “All-in” group are echoing Karp's view.And “What Is Loop Engineering, and Who Owns It?” names the new contested terrain. The loop is where intelligence meets the world. Whoever owns the loop owns the learning. Whoever owns the learning owns the compounding asset.That is why “who owns intelligence?” is not a slogan. It is the question under the model layer, the application layer, the enterprise layer, and the economic layer.Because intelligence is the product, the tools creating it are fragmented and competitive. So there is no logic in trying to discuss this at the level of a single company or set of tools and models.The Old Promise Was That Commerce Would Tame PowerThe essays this week give the historical backdrop.Deirdre McCloskey, in “What Really Caused the Industrial Revolution”, argues that modern growth came not simply from capital accumulation, but from a change in permission: ordinary people were allowed to innovate, trade, build, and be honored for it.That matters because intelligence could be another expansion of permission. It could make more people capable of building, learning, creating, coding, researching, translating, selling, and coordinating. It could lower the cost of competence.But only if access is broad.Paul Krugman's “AI in an Age of Oligarchy” warns that the same technology lands differently in different political economies. A new general-purpose technology entering a broad, open, upwardly mobile society is one thing. The same technology entering a concentrated economy, with extreme wealth and weak counterweights, is another.Tim O'Reilly's Economist essay, “Elon Musk is building a form of capitalism that Adam Smith would hate”, makes the governance point more directly. The old liberal hope was that commerce would tame arbitrary power. Markets, boards, courts, shareholders, disclosure, and competition would discipline the prince.But what if the prince uses markets to escape discipline?Henry Farrell's “political economy of billionaire derangement” pushes the same point. Founder culture, monopoly ambition, peer rivalry, weak correction mechanisms, and vast private control can amplify appetites rather than restrain them.The danger with intelligence is not that companies build it. They should. Companies build it, meter it, use public tolerance and public infrastructure to scale it, learn from everyone who uses it. All of those things are inevitable and healthy. Market forces will sort out winners from losers. The real danger is that the winners treat all of the surplus produced as purely private.Metered Intelligence Creates SurplusIf metering is not the problem, what is?The problem is pretending that metered intelligence creates value only for the metering entity. Metering water is only tolerated as a public good. If the public were blackmailed by a private water company with the threat of no water we would all rebel.Once we understand that the product of AI is intelligence we can see that every time intelligence is used, there is the immediate transaction: the user pays, the provider serves.But there is also system value. Usage creates signals. Workflows reveal patterns. Prompts, corrections, failures, preferences, integrations, edge cases, and business processes all help define where intelligence is useful and how it should improve. Intelligence breeds intelligence.Even when customer data is contractually protected, the market learns. The platform learns where demand is. The product team learns which workflows matter. The ecosystem learns which jobs are vulnerable, which tasks are automatable, and which parts of the economy can be reorganized around machine intelligence.So the surplus is not born in a vacuum.It rests on public science, public education, public data exhaust, public law, public infrastructure, public energy systems, public tolerance for data centers, and billions of human interactions. It is served by companies, but it is not made only by companies.This is why “Americans Deserve a Dividend From AI Companies' Riches” belongs at the center of this week's issue. The detail can be debated. The principle is harder to dismiss. If intelligence becomes a new foundational resource, then some part of the wealth it creates should flow back to the people whose society makes it possible. Intelligence did not suddenly appear. AI is built on the entire history of human intelligence. It benefits from it and at the same time evolves it.Not Nationalization. A Human Wealth Fund.If intelligence belongs to everybody, some conclude that government ownership of intelligence is the right outcome.Governments are not well suited to build, operate, or improve intelligence. They will move too slowly, regulate too early, politicize the wrong things, and confuse economic participation with operational control.Andrew McAfee's “Why I Didn't Sign the AI Open Letter” is useful here. His objection is not that the technology is unimportant. It is that steering too hard before we understand the shape of the change can become its own failure mode. Marc Andreessen's satire of AI regulation is less policy than temperament, but it captures a real Silicon Valley fear: that regulation can become permission, capture, and incumbency before it becomes wisdom.That fear should be taken seriously.But it does not answer the economic question. It answers only the operational one.How can the economic benefits of intelligence be distributed? The better answer is a sovereign human wealth fund.Call it a sovereign wealth fund if you must, but the phrase is too national. Intelligence will not respect borders. The leading companies are global. The models, chips, data centers, agents, platforms, and workflows will be transnational from the beginning. If the value created by intelligence is global, then the mechanism for sharing some of that value should begin with the companies global enough to capture it. The nice thing about xAI, OpenAI, and Anthropic is that they are supranational.These companies own and operate intelligence. Let them compete. Let them profit. Let them keep the incentives that make the system improve. But if intelligence is the new water, the wealth it creates cannot belong only to the companies that meter it. And they, themselves, have the power to fix it, even more than governments.Access will become a Human Right; Ownership Is the Economic DesignThis is where human rights come in. There is no right to access an AI model, yet. But there will soon be a need to change that.Not as a claim that every person is entitled to every frontier model at every moment for free. That is not serious. Capacity has costs. Models have costs. Inference has costs. Data centers have costs. Although those costs will decline over time, possibly quite quickly as self-learning models address costs.The claim is more basic: in a world where intelligence becomes a primary input into education, work, health, science, citizenship, creativity, and economic agency, baseline access to intelligence starts to look like a civic requirement.That could mean public access layers. It could mean education credits. It could mean open models. It could mean AI dividends. It could mean public-interest compute. It could mean taxes on rents. It could mean a company-initiated human wealth fund that returns some of the upside to society without handing the operating system to the state. The latter could couple wealth growth with universal distribution of ownership.The exact mechanism matters. But the distinction matters more.Government should not own intelligence. It should be universally available. And people should have a claim on the wealth intelligence creates.The Frontier Is Also PhysicalThe abstraction is not weightless.“The Fight Against AI Data Centers Is Just Beginning”, “New York becomes the first state to enact a data center moratorium”, Reuters on pollution from Musk's xAI power project, and DataGravity's “Who Captures Value in AI Infrastructure?” all say the same thing from the ground up.Intelligence uses land. It uses power. It uses water. It uses chips. It uses grid capacity. It uses neighborhoods. It uses public patience.That makes the value question unavoidable. A society can accept the buildout if the buildout is legible as shared progress. It will resist it if the costs are local, the profits are private, and the benefits feel enclosed.Who Owns the “Loop”?The week ends where it began.“Anthropic and Blackstone” are betting that implementation is the next trillion-dollar business. “Vint Cerf” is working on identity for agents on the open internet. “GPT-Red” points toward systems that improve their own robustness. “Kimi K3” adds another open frontier model to the global mix.The model race continues. The deployment race is accelerating. The governance race is behind.My view is this:The central product of this era is intelligence. Companies have figured out how to capture it, package it, serve it, and meter it. That is good. It should stay in the hands of builders who have the incentive to make it better.But intelligence is too foundational to become just another private toll booth. A significant part of it will turn out to be free to users.As intelligence becomes a general-purpose resource, then access to it becomes a human-capability question, and the surplus from it becomes an economic-justice question. Not because government should run it. Because government should not run it. The operating layer belongs with companies. The wealth question belongs with everyone. But companies are best placed to turn that into a process of distribution.The question is not whether companies should build intelligence. They should.The question is whether humanity gets a stake in the wealth created by the thing that may soon become its most important shared input.Contents* Essays* Deirdre McCloskey on What Really Caused the Industrial Revolution* AI in an Age of Oligarchy* Elon Musk is building a form of capitalism that Adam Smith would hate* Murky Mirror: Truth and Consequences* The political economy of billionaire derangement* Is there any “oligarchy” to fight?* AI* Nearly 200 Economists and Tech Leaders Warn of A.I. Threats* Why I Didn't Sign the AI Open Letter* Own Your Weights* Ways to Think About Token Pricing* Alex Karp Is Saying What Every Angry CEO Is Thinking About AI* The AI Agents Are Coming for Microsoft Office* What Is Loop Engineering, and Who Owns It?* The Fight Against AI Data Centers Is Just Beginning* 6 months to live for open models* Americans Deserve a Dividend From AI Companies' Riches* Who Gets to Define the Frontier?* GPT-Red: Unlocking Self-Improvement for Robustness* Anthropic, Blackstone bet the next trillion-dollar AI business is implementation, not just models* Vint Cerf is working on a plan to unleash AI agents on the open internet* xai-org/grok-build, now open source* The Pulse: What can we learn from Bun's rapid Rust rewrite with AI?* Orphan risks at the frontier of artificial intelligence* The Lab of the Future Should Feel Like a Data Center* Why AMI Labs' Alexandre LeBrun won't call his AI “AGI” or “superintelligence”* Kimi K3 Tech Blog: Open Frontier Intelligence* Venture Capital* Three Years In* Venture Has Rarely Looked More Bifurcated* The Best Angel Investors in the US: Who Backs the Most Unicorns, and Who's Active Now* Are Prediction Markets Doomed to Fail?* Regulation* Exclusive: The Next Frontier of the Deportation Wars: College Campuses* The Supreme Court Broke Independent Agencies. Here's a Way to Slow the Damage.* India's crackdown on a new WhatsApp feature risks setting a global precedent* Let's build a children's public internet* Computer cops* Google is better at playing the AI regulations game* Infrastructure* Who Captures Value in AI Infrastructure?* New York becomes the first state to enact a data center moratorium* Pollution from Musk's unpermitted xAI power project hits hardest in Black communities* Interview of the Week* The End of the End of Geography* Startup of the Week* Radical AI's Joseph Krause: The Scientist Building The “Waymo” Lab For New Materials* Post of the Week* Marc Andreessen on AI RegulationEssaysDeirdre McCloskey on What Really Caused the Industrial RevolutionYascha Mounk and Deirdre McCloskey | Persuasion | July 11, 2026Yascha Mounk interviews Deirdre McCloskey about her argument that the modern world's economic liftoff came less from capital accumulation than from a change in ideas. McCloskey says both left and right versions of the conventional story rely too heavily on investment: the left stresses exploitation and surplus value, while the right stresses virtuous saving by capitalists. Her objection is historical and economic. Human beings had always invested, from irrigation works and Roman roads to seed grain, and simple accumulation quickly runs into diminishing returns.McCloskey's alternative is that northwestern Europe, first Holland, then Britain and Scotland, and then the North American colonies, developed a liberal ideology that changed who was allowed to innovate and be honored for it. The conversation links that shift to the erosion of inherited hierarchy, the spread of dignity for ordinary commercial life, and a moral vocabulary in which liberalism is not merely procedural but connected to virtues and values. The point is not that machines, coal, trade, and institutions did not matter, but that they do not explain the scale and timing of modern enrichment without a cultural permission structure for innovation.The interview also turns to the contemporary defense of liberalism. Mounk frames the series around the worry that liberalism is often treated as too thin to command allegiance, while its opponents speak more directly to moral passions. McCloskey's case is that liberal societies became rich because they dignified experimentation and ordinary enterprise, and that liberals need to recover the moral language behind that claim.Read moreAI in an Age of OligarchyPaul Krugman | Paul Krugman | July 12, 2026Paul Krugman frames AI as a major technological shock arriving inside an already unequal political economy. The post says AI's economic and social effects may take years to understand, but argues that the setting matters now: America has much greater wealth concentration and political inequality than it did in the 1950s and 1960s, when progressive taxation, stronger regulation, and more active antitrust might have contained some of the destructive effects of a new technology.Krugman's opening claim is that the same technology would likely have different consequences in a more level society. In today's United States, he writes, extreme wealth is both a cause and effect of policies that favor a small elite, including low effective taxes on capital and high incomes, weak enforcement of worker protections and antitrust, and cuts to programs that benefit ordinary Americans.The article is explicitly more about oligarchy than AI. Krugman says the paid sections document the rise of the “.0002%,” the economics and politics of extreme wealth, how oligarchy will shape AI's impact, and possible policy paths. His caveat is that AI itself may still produce a pushback against oligarchy, but absent that, he expects the pre-existing concentration of wealth and power to magnify AI's downsides.Read moreElon Musk is building a form of capitalism that Adam Smith would hateAuthor: Tim O'Reilly Published: July 12, 2026Tim O'Reilly argues that Elon Musk is using the legal forms of shareholder capitalism to escape the restraints that shareholder capitalism was supposed to impose. The article begins with SpaceX's public-market structure: ordinary public investors get little meaningful governance power, Musk keeps roughly 85 percent of the votes through super-voting shares, buyers waive jury trials and class actions, the company qualifies as controlled, and removal of Musk depends on the share class he controls. In O'Reilly's framing, that is not ordinary founder control; it is a design for being answerable to no one, possibly beyond Musk's own lifetime.The killer detail is the article's turn through Albert Hirschman, Montesquieu, James Steuart, Adam Smith, and Keynes. Older defenses of commerce held that markets would tame princely passions because the self-interest of merchants was safer than arbitrary rule. O'Reilly says Musk reverses that hope. The market discipline that was supposed to cage the prince has become the lever by which the prince raises capital, removes feedback loops, and carries private power into politics, government, Mars, robots, AI, or whatever ambition comes next.The pull is the link to AI governance. O'Reilly says corporations are already a kind of artificial intelligence: narrow-input systems that act at a scale no individual human can match. Their partial controls include independent boards, shareholder votes, courts, disclosure, regulators, public pressure, and activism. If the leaders building frontier AI strip those alignment mechanisms out of their own companies, the governance of the company becomes a preview of the governance of the machine.Read more: The EconomistMurky Mirror: Truth and ConsequencesAuthor: Esther Dyson Published: July 14, 2026Esther Dyson argues that today's institutional crisis is better viewed through the 14th century than through recent political history. Using Barbara Tuchman's A Distant Mirror as her frame, she compares a world of famine, plague, church schism, feudal predation, and purposeless war with a present in which institutions again feel brittle, incentives are badly aligned, and power is shifting into forms that are hard to govern.The killer detail is the historical analogy between land, corporations, and AI. Dyson moves from nobles who controlled serfs and territory, to the East India Company as a quasi-sovereign business, to today's AI systems and data centers as a possible new sector that crosses and weakens both nation-states and companies. The question is whether AI becomes a new kind of private land, owned by a new nobility, or an open prairie that many people can cultivate.The pull is human attention. Dyson says the central question is not what AI will do to people, but how people will react to it: whether they can value love, kindness, embodied attention, and artisanal human presence in a world of seductive artificial offerings.Read more: SourceThe political economy of billionaire derangementAuthor: Henry Farrell Published: July 15, 2026Henry Farrell argues that the visible political radicalization of some Silicon Valley billionaires is not a random personality quirk, but a product of the political economy that made them. Starting from Tyler Cowen's dismissal of “billionaire derangement syndrome” and Tim O'Reilly's warning that Elon Musk is using shareholder capitalism to escape shareholder restraint, Farrell flips the phrase: the question is why billionaires themselves can become deranged.The killer detail is Farrell's use of Peter Thiel as both theorist and example. Thiel's Stanford lectures described startups as monarchies and founders as figures vested with unusual power, while Silicon Valley culture rewarded eccentricity, monopoly ambition, and founder exceptionalism. Farrell says those ideas combined with dense founder-investor networks, peer rivalry, and weak correction mechanisms to amplify rather than discipline princely appetites.The pull is the ideological problem for classical liberals who once saw tech wealth as an ally of markets and freedom. Farrell says commerce did not tame the passions; in parts of Silicon Valley, the passions have begun to devour markets, institutions, and the liberal story that justified them.Read more: SourceIs there any “oligarchy” to fight?Matthew Yglesias | Slow Boring | July 16, 2026Matthew Yglesias argues that “oligarchy” is a rhetorically powerful but analytically loose way to describe American politics. The post begins from Bernie Sanders' “Fighting Oligarchy” tour, Amy Klobuchar's warning about a MAGA “broligarchy,” and the long afterlife of the Martin Gilens and Benjamin Page paper that was widely summarized as showing that only the rich matter in policy outcomes. Yglesias says the evidence supports a weaker claim: affluent people and business leaders have unusual access and influence, but that is not the same as rule by a small cabal.His main distinction is between inequality and oligarchy. The Gilens-Page measure treated the top 10 percent of households as “the wealthy,” and later critics found that rich and middle-class preferences usually align; in the cases where they differ, the rich win about 53 percent of the time. Yglesias also says business executives get special access partly because their decisions are materially important to communities, jobs, investment, and local tax bases, not only because of campaign donations.The post preserves Jerusalem Demsas' counterpoint from their podcast discussion: privileged donor and business access can still violate democratic equality even if the oligarchy label overstates the structure of power. Yglesias' narrower claim is that Democrats should be precise about what problem they are trying to solve, because donor influence can also push the party left on climate and cultural issues in ways that alienate many voters.Read more: Slow BoringAINearly 200 Economists and Tech Leaders Warn of A.I. ThreatsAuthor: Ben Casselman Published: July 13, 2026Ben Casselman reports on “We Must Act Now,” a statement warning that artificial intelligence could transform the economy faster than any previous technology and that policymakers need to move faster to understand and respond. The statement says AI may become radically more powerful over the next 10 years, bringing risks such as large-scale job displacement as well as opportunities such as higher living standards. Nearly 200 people signed, including 15 Nobel laureates, the chief economists of OpenAI and Anthropic, Anthropic co-founder Jack Clark, former Google CEO Eric Schmidt, and venture capitalist Vinod Khosla.The killer detail is who joined the warning. Casselman notes that the signatories include economists who have historically been skeptical of Silicon Valley's most dramatic AI job-loss forecasts, including Daron Acemoglu and Simon Johnson, the MIT professors who won the 2024 Nobel in economics. Erik Brynjolfsson, who helped organize the statement, says there has been a notable change in the profession and that economists and policymakers are not ready for the “tsunami” he sees coming.The pull is the measurement problem. The statement does not offer a specific policy menu, but calls for economists, policymakers, and industry leaders to understand the economics of transformative AI and steer it toward complementing humans. Brynjolfsson says one high priority is better data on AI's spread and impact, because current measures tell conflicting stories about job losses and which workers are most exposed.Read more: The New York TimesWhy I Didn't Sign the AI Open LetterAuthor: Andrew McAfee Published: July 13, 2026Andrew McAfee explains why he did not sign “We Must Act Now,” the AI economy statement organized in part by his longtime collaborator Erik Brynjolfsson. McAfee agrees with the letter's starting point that AI is likely to become radically more powerful over the next decade and that it is a general-purpose technology. His objection is not to urgency or to studying AI's economic effects, but to the framing of risk, displacement, and institutional steering as the first move.The killer detail is McAfee's line edit. He says the original letter comes close, then “bounces off the crossbar” by calling for incentives, guardrails, and institutions to steer AI before we know enough about its actual impacts. He points to mixed current evidence: labor-market canaries, but also rising software job postings, low unemployment for younger workers, rising real median income, and claims that AI-adopting companies are adding workers faster than low-adopting peers. His worry is that the letter leans toward upstream governance and dirigisme when the evidence may call for capability building instead.The pull is his replacement statement. McAfee keeps the three-paragraph structure but changes the emphasis: AI is likely to become radically more powerful; like earlier world-changing technologies it will raise living standards while also bringing harms and shocks; and economists, policymakers, and technology leaders should build the capabilities to respond quickly and effectively. It is a concise version of the permissionless-innovation case inside the AI policy debate.Read more: The Geek WayOwn Your WeightsAuthor: Jamin Ball Published: July 10, 2026Jamin Ball argues that the enterprise AI debate about whether companies should “own their weights” or rent models from frontier labs is asking too narrow a question. A model weight file gives a company control over a point-in-time artifact, but not durable control over the capability stack. In his framing, the weight file is a melting ice cube: it does not get worse in absolute terms, but it falls behind as frontier systems improve and enterprise needs change.The killer detail is what Ball says companies really need to own: the data flywheel, reinforcement learning infrastructure, and evaluation harness that produce and improve the model. Simply deploying an open-weights model and declaring sovereignty leaves the enterprise with yesterday's capability and no way to compound workflow-specific learning.The pull is that enterprise AI control may be less about model ownership than operating ownership. The defensible layer is the system that turns company data, edge cases, business definitions, and evaluations into continuously improving performance.Read more: Clouded JudgementWays to Think About Token PricingAuthor: Benedict Evans Published: July 9, 2026Benedict Evans argues that today's AI token prices are a temporary signal from a supply-constrained market, not a reliable guide to long-term value capture. The open question is whether foundation models keep durable pricing power or become commodity infrastructure as data-center capacity, inference efficiency, and model competition all shift. His current read is that the visible market dynamics point toward commoditization unless something materially changes.The killer detail is the mobile data analogy. Evans says cellular networks became a trillion-dollar industry with hundreds of billions in capex after data usage exploded, but carrier stocks went nowhere because value moved up the stack. Tokens may behave similarly: an opaque unit tied to marginal cost, sold through bundles, essential to everything, yet not necessarily where profits accrue.The pull is uncertainty, not prediction. Evans lists paths to model dominance, including network effects, less competition, regulation, export controls, or a lab pulling ahead on execution, but says each requires a new fact not yet visible. Without that change, the model layer looks more like infrastructure beneath the products that capture value.Read more: SourceAlex Karp Is Saying What Every Angry CEO Is Thinking About AIAuthor: Tim Higgins Published: July 11, 2026Tim Higgins reports that Palantir CEO Alex Karp has turned corporate frustration with AI labs into a public argument about enterprise control. Palantir released a white paper, “Institutional Sovereignty in the Age of AI,” laying out steps companies and governments can take to protect themselves from OpenAI, Anthropic, and other foundation-model providers. The article links that paper to Karp's CNBC appearance, where he said “something has gone completely wrong” in the relationship between AI labs and customers and argued that enterprises are paying for tokens that create little value.The killer detail is the value-capture question. Higgins writes that Karp's critique has resonated because AI labs may gain power and insight from customer data, workflows, and decision-making, even when enterprise policies say customer data are not used for training. David Sacks amplified the concern by arguing that Anthropic is moving from the model layer into vertical applications such as science, security, legal, and coding, raising the fear that model providers will watch where value is being created and then move into those markets directly.The pull is that Karp is not alone, even if his style is unusually combative. Higgins notes that Satya Nadella has also warned that companies need to retain the learnings created when they use AI models, while Mark Zuckerberg has framed Meta's new model release partly around lower-cost frontier intelligence. The article presents Karp's campaign as one sign that established technology companies and large enterprises are trying to define where they fit when AI labs become central infrastructure, application competitors, and potential IPO giants at the same time.Read more: The Wall Street JournalThe AI Agents Are Coming for Microsoft OfficeAlex Wilhelm | Cautious Optimism | July 11, 2026Alex Wilhelm argues that one of the week's quieter AI questions is whether the productivity market that Microsoft successfully moved into subscription software is now being attacked by agentic tools. The piece begins with the infrastructure backdrop: SK Hynix raised $26.5 billion in a U.S. listing while building U.S. HBM and advanced-packaging capacity, and memory, chip, and foundry companies are now priced for sustained AI demand.Wilhelm then says the AI conversation has shifted quickly from raw capability to cost per task. He cites new model releases and vendor language emphasizing cheaper agentic and coding models, faster performance, and lower dollars per task. That matters because lower costs make it more plausible for AI systems to take on routine knowledge work at scale rather than remain a premium coding assistant market.The core of the article is Microsoft Office. Wilhelm notes that Microsoft turned Office from a one-time purchase into Microsoft 365, a large recurring revenue business with tens of millions of subscribers and a major productivity segment. Now, he says, late-stage unicorns and AI labs are pushing into the same territory: Anthropic's Cowork was reportedly used mostly outside software development, OpenAI merged ChatGPT and Codex into a tool for creating sheets, slides, docs, web apps, and long-running work, and other companies are building agentic coworkers that connect business data to documents, workflows, schedules, alerts, and apps.The article's caveat is that Microsoft has survived major platform shifts before. The argument is not that Office disappears quickly, but that the definition of office software is broadening from documents and spreadsheets into AI systems that can create, monitor, and act across workplace data.Read moreWhat Is Loop Engineering, and Who Owns It?Author: Nilesh Barla Published: July 11, 2026Nilesh Barla argues that “loop engineering” is becoming a distinct discipline because production AI agents now fail less at single prompts than at runtime: when to stop, what state to preserve, and how to recover after a bad step. Prompt engineering shapes one model call, and context engineering shapes what the model sees, but loop engineering shapes what a sequence of calls actually does.The killer detail is the three-primitives frame. Barla says a real agent loop needs halt conditions, state carryover, and recovery paths, then maps teams across five maturity levels. At the lowest level, an agent is just a model call in a for-loop with a step cap and raw history; by the higher levels, the system has structured state, explicit planning, replay, evaluation, and self-repair.The pull is organizational. If agents are becoming production systems rather than demos, someone has to own the runtime itself. The loop engineer is the role Barla gives to the person responsible for making long-running agent work dependable.Read more: Adaline LabsThe Fight Against AI Data Centers Is Just BeginningEmma Roth | The Verge | July 12, 2026Emma Roth argues that community resistance to data centers has moved from an early warning sign into a national political fight as AI facilities grow larger, more power-hungry, and more visible to nearby residents. The article starts with Apple's failed 2015 plan for a $1 billion data center in Athenry, Ireland, where a small group of residents challenged the project over noise, light pollution, flooding, traffic, and wildlife effects until Apple abandoned it in 2018.The current data-center buildout is presented as much larger and more contentious. Roth writes that residents now cite rising energy costs, water quality, noise, light pollution, and greenhouse gas emissions, while the U.S. Energy Information Administration expects commercial energy demand to surpass residential demand this year because of AI data centers and Goldman Sachs expects data-center power demand to double by 2027.The central evidence comes from Data Center Watch, which says protesters blocked or delayed at least 75 U.S. projects worth $130 billion from January to March, with active opposition groups more than doubling from 396 at the end of 2025 to 833 by the end of the first quarter of 2026. Roth also cites QTS abandoning a $12 billion Wisconsin campus, Delaware City regulators blocking a 580-acre project under the Coastal Zone Act, opposition stopping a QTS project in Prince William County, and pressure that pushed Kevin O'Leary to downsize the proposed 40,000-acre Project Stratos in Utah.The policy section describes a split between federal acceleration and local resistance. President Trump has treated data centers as part of the AI race with China and fast-tracked construction, while some Republican candidates are distancing themselves from that position ahead of midterms. Sanders and Ocasio-Cortez have proposed a moratorium until price and environmental protections exist, bipartisan lawmakers are backing ratepayer-protection measures, and states including Florida, Idaho, and Washington have passed rules on cost shifting, water use, and tax breaks. Roth's caveat is that the policy patchwork is still incomplete, leaving many communities to fight project by project.Read more6 months to live for open modelsAuthor: Nathan Lambert Published: July 12, 2026Nathan Lambert argues that open-weight AI models are facing their most serious policy test so far because U.S. officials are beginning to discuss concrete controls rather than abstract safety concerns. He says reported White House conversations about a new executive order may initially target Chinese-origin models and government use, but could create a broader review habit for frontier open models. His forecast is that a model above the capability range of GPT-5.5, Claude Opus 4.8, or GLM-5.2 could trigger a ban or indefinite delay within six months.The post separates two policy fights that are becoming intertwined: distillation and frontier capability. Lambert says the distillation campaign against Chinese models has become a form of regulatory capture because Anthropic and other closed-model companies would gain economically if Chinese open models were banned. He does not dismiss IP protection, but argues that if a closed model's capabilities are dangerous enough to justify restricting open models, the lab also has to explain why those capabilities are exposed through a queryable API. He cites unauthorized access to Anthropic's Mythos private beta as evidence that APIs are not automatically secure.The broader claim is that a unilateral U.S. ban would hurt positive actors more than bad actors if comparable open models remain available elsewhere. Lambert says the only durable ceiling would require global agreement, which does not exist, and that open models can improve safety by allowing broad inspection, adaptation, and understanding. His proposed near-term off-ramps are a strong U.S. open model release from companies such as Microsoft, Meta, or Reflection, and a broader coalition of open-source beneficiaries lobbying for safe rollout rather than prohibition.Read more: SourceAmericans Deserve a Dividend From AI Companies' RichesAuthor: Scott Stanford Published: July 14, 2026Scott Stanford argues that proposals to give the government a stake in AI companies miss the point unless ordinary citizens directly receive and control the upside. Sam Altman has discussed giving up equity in OpenAI, Washington already owns a stake in Intel, Nvidia is sharing China chip revenue, and Bernie Sanders wants large AI labs to contribute half their stock to a sovereign wealth fund. Stanford says those ideas all park value with the state, not with people.The killer detail is New Carlisle, Indiana, where AWS's Project Rainier is turning cornfields into one of the world's largest AI superclusters. The project is planned to run up to a million chips, draw more than two gigawatts of power, and represents an investment that has grown from $11 billion to $13.8 billion. Stanford uses that local transformation to argue that AI's public bargain should be visible at the household level.The pull is design. A citizen AI dividend would have to specify who earns a stake, how they hold it, and when they see cash. Without that mechanism, the AI wealth debate remains a fight over government balance sheets rather than public ownership.Read more: SourceWho Gets to Define the Frontier?Author: Mark Daley Published: July 14, 2026Mark Daley argues that Demis Hassabis is right to call for a serious institution to verify frontier AI systems, but that the power to test models is also the power to govern them. Hassabis's proposed Frontier AI Standards Body would get privileged pre-release access to advanced models, testing compute, held-out evaluations, support from national labs and security agencies, third-party auditors, and eventually authority to block models from the American market or coordinate a slowdown.The killer detail is Daley's constitutional objection. He says the proposal sometimes looks like a scientific lab, a standards body, an industry regulator, a licensing authority, and an emergency security council at once. Combining those roles because each requires technical expertise would be like putting the central bank, auditor-general, and Supreme Court in one building and calling it efficient.The pull is standard-setting. Daley's concern is not that verification is unnecessary, but that whoever writes the tests, decides what passes, adjudicates disputes, and grants market access may end up defining the frontier itself.Read more: SourceGPT-Red: Unlocking Self-Improvement for RobustnessOpenAI | OpenAI | July 15, 2026OpenAI describes GPT-Red as an internal automated red-teaming model trained to find prompt-injection vulnerabilities at a scale human red teams cannot match. The post says AI systems increasingly encounter third-party data through browsers, connected apps, local files, and tools, creating opportunities for malicious instructions hidden in emails, webpages, tool responses, or code repositories. Human red-teaming remains part of OpenAI's safety process, but the company says it is time-intensive and cannot generate enough diverse adversarial examples for model training.The system is trained through self-play reinforcement learning, with GPT-Red rewarded for eliciting valid failures and defender models rewarded for resisting attacks while still completing their tasks. OpenAI says the training environments specify threat models across settings such as local files, webpage banners, email bodies, and tool outputs. The model is kept separate from deployed production models because it is intentionally trained with malicious capabilities.OpenAI reports that GPT-Red generalized beyond its training set, including an internal replication of the indirect prompt-injection arena from Dziemian et al. (2025), where it found successful attacks in 84% of scenarios compared with 13% for human red-teamers. The post also says GPT-Red transferred attacks from simulation to a live autonomous vending-machine agent, causing price changes and order cancellations, and outperformed a prompted GPT-5.5 baseline against a Codex CLI agent on held-out data-exfiltration tasks.The article's main robustness claim is that OpenAI has used GPT-Red and predecessor models in training since GPT-5.3, with later GPT releases becoming more resistant to prompt injections. It says GPT-5.6 Sol has six times fewer failures on OpenAI's hardest direct prompt-injection benchmark than the best production model from four months earlier, that a “Fake Chain-of-Thought” attack class fell from more than 95% success against GPT-5.1 to below 10% against GPT-5.6 Sol, and that GPT-5.6 Sol fails on only 0.05% of GPT-Red's direct prompt injections. OpenAI says general capabilities and targeted over-refusal evaluations were not harmed, and says a preprint with more details will follow.Read moreAnthropic, Blackstone bet the next trillion-dollar AI business is implementation, not just modelsRebecca Bellan | TechCrunch | July 15, 2026Rebecca Bellan reports that Ode with Anthropic is the $1.5 billion AI implementation company launched by Anthropic with Blackstone, Hellman & Friedman, Goldman Sachs, and other backers. The article says the venture reflects a growing belief among frontier AI labs that enterprise adoption requires more than better models: customers need engineers who can embed inside businesses and turn AI into working systems.Ode was originally conceived by Blackstone after it used both large consulting firms and smaller AI services boutiques across its portfolio companies. TechCrunch reports that Fractional AI, an AI engineering services startup, stood out and was acquired by the joint venture shortly after the venture was announced. Fractional now forms the foundation of Ode, which has 100 engineers and works closely with Anthropic's applied AI team to identify where the technology can affect specific businesses.Ode CEO Chris Taylor tells TechCrunch that the company could someday become a trillion-dollar business if it scales without losing quality. He says an ideal customer is one whose CEO treats the AI project as a top one or two priority, whether it is a major product feature or the reworking of a core business process. Ode will operate under a “Claude-first” principle, using Anthropic technology whenever possible, but the article says it can use rival AI products when needed.The article's central implementation argument comes from Ode chief technologist Eddie Siegel, who says model selection matters but is not where most of the engineering effort goes. He compares it to the choice of programming language in software: one ingredient in a system that still has to be engineered. Bellan writes that Ode's challenge is hiring and training enough elite generalist engineers, many of them former founders, while competing with OpenAI's The Deployment Company and consulting giants that have built their own forward-deployed engineering teams.Read moreVint Cerf is working on a plan to unleash AI agents on the open internetTim Fernholz | TechCrunch | July 15, 2026Tim Fernholz reports that Vint Cerf, after leaving Google, is advising Innovation Labs on an open architecture for identifying AI agents online. Innovation Labs is a subsidiary of Identity Digital, a DNS registry company, and its proposal is to use domain-name infrastructure as part of a system for agent identity, accountability, and auditability. The premise is that agents will need a way to identify themselves if they move beyond proprietary systems and begin interacting across the open internet.The concrete proposal is DNSid, a registry that links an AI agent to an existing internet domain and uses cryptographic proofs to log its registration over time. Innovation Labs says it is trialing the standard with unnamed hyperscalers and identity companies. Cerf frames the problem around authority and accountability: what authority an agent has, where that authority came from, who is accountable for the agent's behavior, how its identity is established, and why anyone should trust it.The article's caveat is that standards are still emerging and agents are more active than static domains. Cerf says the period may be both fascinating and exasperating because the functionality is powerful and interoperability is unresolved. He compares the adoption problem to TCP/IP: competing systems may not work together until users push for functional interoperation. He also says an agentic economy is not inevitable, but that people will try to build it because delegating work to agents will be easier.Read more: TechCrunchxai-org/grok-build, now open sourceAuthor: Simon Willison Published: July 15, 2026Simon Willison argues that xAI's decision to open-source Grok Build is best understood as a trust repair move after a severe privacy failure. The CLI had triggered backlash when users realized that running it in a directory could upload the entire directory to xAI's Google Cloud buckets, including one user's reported SSH keys, password manager database, documents, photos, and videos. xAI disabled the feature, said previously retained coding data would be deleted, and released the code under Apache 2.0.The killer detail is what the codebase reveals. Willison counts 844,530 lines of Rust, only about 3% of which appears vendored, and finds remnants of the upload system still present but disabled: gcs.rs contains Google Cloud upload code, while upload_session_state() now returns a hard-coded session_state_upload_unavailable error. He also notes copied or ported tool implementations from Codex and OpenCode, prompt files, and a terminal Mermaid renderer.The pull is that terminal coding agents are becoming large, intricate software systems in their own right. The privacy failure mattered because these tools operate inside the directories where developers keep their most sensitive work; the open-source release matters because trust now depends on inspecting what an agent can see, send, and do.Read more: SourceThe Pulse: What can we learn from Bun's rapid Rust rewrite with AI?Author: Gergely Orosz and Ivan Klaric Published: July 16, 2026Gergely Orosz and Ivan Klaric argue that Bun's AI-assisted rewrite from Zig to Rust is a practical sign of how software engineering changes when models can take on large, bounded migrations with clear feedback loops. The piece does not treat the rewrite as magic: Jarred Sumner first spent hours turning design judgment into a detailed porting guide, then used adversarial review, parallel agents, compiler errors, and tests to force the work toward correctness.The killer detail is the scale. Bun had 535,496 lines of Zig, 1,448 files, and 22 million monthly downloads, making a conventional rewrite a year-long freeze the team could not justify. Using Fable, Sumner split the work across 64 agents, produced about 6,500 commits, and got the migration done in 11 days at an estimated API cost of $165,000.The pull is economic, not theatrical. If a one- or two-year migration can become an 11-day project, AI coding is not just faster autocomplete; it changes which technical debts are worth paying down.Read more: SourceOrphan risks at the frontier of artificial intelligenceAuthor: Andrew Maynard Published: July 16, 2026Andrew Maynard argues that frontier AI safety frameworks are creating “orphan risks”: harms that companies can see, but do not formally own because they are hard to quantify, do not fit catastrophic-risk thresholds, or fall outside audit-friendly compliance machinery. His target is not existing frontier safety work, but the narrowing effect that happens when private companies decide which risks count as governable.The killer detail is Maynard's contrast between measurable model dangers and threats to value. He points to Meta's three-day Galactica collapse, OpenAI's 2023 board crisis, safety-team departures, and wellbeing litigation as examples of risks that damaged trust, culture, legitimacy, or users without fitting cleanly into conventional model-risk categories. The proposed fix is an orphan-risk register: a public record of risks a company considered and chose not to manage, with reasons.The pull is accountability. Frontier developers' internal scoping choices have become a de facto layer of public governance, so the question is no longer only which risks they manage, but which risks they quietly leave outside the frame.Read more: SourceThe Lab of the Future Should Feel Like a Data CenterLatent.Space with Andy Beam and Rafa Gomez-Bombarelli | Latent.Space | July 16, 2026Latent.Space interviews Lila Sciences CTO Andy Beam and chief science officer for physical sciences Rafa Gomez-Bombarelli about the company's attempt to build an AI-run science factory. The post describes Lila's thesis as treating the lab itself as an “infinite token generator”: if internet data drove the first era of AI scaling, experimentally verified scientific data may be the next scarce training source. Lila is trying to produce that data with robotics, lab instruments, orchestration software, and AI models wired into the wet lab.The central analogy is the lab as data center. Instruments are nodes on a graph, a magnetically levitating transport layer moves materials between them, and experiment scheduling looks like a compute queue. Beam says Lila is not simply an automation company, because the point is not just throughput; it is flexibility, generalization, and experiment capture. The post says Lila has built more than 10 trillion experimentally validated “scientific reasoning tokens,” not internet text or biological sequences.The interview ranges across biology, chemistry, drug discovery, materials science, and the limits of automation. It notes that Lila rebuilt one gas-sorption measurement to run roughly 2,500 times faster, claims its general models can transfer priors from small-molecule chemistry to metal-organic frameworks for carbon capture, and describes model-suggested platinum-group-free electrocatalysts that moved from looking boring or wrong to becoming strong performers. The caveats are physical: experiments have runtimes, biology cannot always be accelerated, chains of thought can be unreliable narrators, and reward hacking becomes more dangerous when a model controls a real lab.Read more: Latent.SpaceWhy AMI Labs' Alexandre LeBrun won't call his AI “AGI” or “superintelligence”Kate Park | TechCrunch | July 16, 2026Kate Park interviews AMI Labs CEO Alexandre LeBrun about why Yann LeCun's world-model startup avoids the language of “AGI” and “superintelligence.” LeBrun says the terms are not useful because they lack stable definitions: “We never used the word AGI. And I just noticed that nobody is using it anymore; they switched to superintelligence.” His argument is that the practical frontier is not a label, but whether AI systems can understand and predict real-world states.The article explains the world-model thesis by contrasting language prediction with physical-state prediction. A large language model predicts the next word; a world model predicts the next state, such as what happens when a glass tips over. LeBrun says LLMs remain complementary and efficient for language, but the physical world is where current AI is weak. Robotics is the clearest case: hardware has advanced quickly, but robots are still brittle outside controlled routines because they lack context and situational understanding.AMI is still pre-product, but TechCrunch reports that LeBrun was in Seoul looking for industrial partners, researchers, and global companies. He says world models cannot be built entirely inside a lab because they need access to real environments. That is why South Korea appeals to AMI: robotics, semiconductors, manufacturing, and fast adoption create the kind of hardware-heavy context that software-only AI has barely touched.Read more: TechCrunchKimi K3 Tech Blog: Open Frontier IntelligenceKimi | Kimi | July 16, 2026Kimi introduces Kimi K3 as an open 3T-class frontier model aimed at coding, knowledge work, reasoning, multimodality, and long-context agentic use. The source describes the model as a 2.8T-parameter system built on Kimi Delta Attention and Attention Residuals, with native multimodality and a 1M-token context window. It says Moonshot AI plans to release model weights by July 27.The post presents K3 through benchmark and use-case sections rather than as a general product announcement. It reports results across coding, productivity, agentic, and multimodal evaluations, including DeepSWE, Terminal-Bench 2.1, Program Bench, SWE Marathon, FrontierSWE, PostTrain Bench, OfficeQA Pro, SpreadsheetBench 2, MCP Atlas, AutomationBench, BrowseComp, GDPval-AA v2, AA-Briefcase, MMMU-Pro, MathVision, BabyVision, OmniDocBench, and PerceptionBench. The source says all reported K3 results use maximum reasoning effort with temperature and top-p set to 1.0, and that different benchmark comparisons use KimiCode, Claude Code, or Codex harnesses depending on the test.Kimi's caveats are unusually concrete. The limitations section says K3 was trained in preserved thinking-history mode, so quality may become unstable if an agent harness does not pass historical thinking content correctly or if an ongoing session switches to K3 midstream. It also says K3's emphasis on long-horizon tasks can make it excessively proactive when it encounters minor issues or ambiguous intent, and recommends imposing explicit behavioral constraints for applications that require strict boundaries. The post adds that K3 remains behind Claude Fable 5 and GPT 5.6 Sol in user experience despite being competitive overall.Read moreVenture CapitalThree Years InAuthor: Tomasz Tunguz Published: July 10, 2026Tomasz Tunguz marks Theory Ventures' third anniversary by arguing that AI's central market effect is time compression. In his telling, model release cycles, company revenue milestones, enterprise adoption, and venture categories have all accelerated. Seed, Series A, and Series B still exist as financing labels, but they no longer cleanly describe company maturity when some seed rounds are larger than IPOs and the best AI companies can mature much earlier than prior software companies.The killer detail is the shift from models to inference. Tunguz argues that inference has become the dominant AI market because workloads and buyer preferences are fragmenting: video, batch, local, agentic, and real-time tasks each create different infrastructure needs. He compares this to databases splitting into OLTP, OLAP, vector, and streaming categories, with AI pushing the same specialization into inference infrastructure.The pull is that Theory sees the AI-native venture firm as part of the same pattern. The firm says it has analyzed twice as many investment opportunities with three investors working alongside a nine-person intelligence organization, using agents and research systems to map markets, source companies, and support diligence. The piece is both a market map and a statement about how venture itself is being rebuilt by the technology it funds.Read more: LinkedInVenture Has Rarely Looked More BifurcatedAuthor: Beezer Clarkson Published: July 14, 2026Beezer Clarkson points to PitchBook's Q2 report as evidence that the U.S. venture market has split into two very different realities. AI now accounts for more than 60 percent of all U.S. venture deal value, meaning the headline market can look active and well-funded even while much of the non-AI market is dealing with a much colder liquidity and fundraising environment.The thread uses that split as the setup for Clarkson's latest Origins episode with Alec Litowitz, founder of Magnetar and QStar Capital and one of Citadel's original founding partners. Clarkson says markets like this are periods of genuine uncertainty, not merely ordinary risk, which is why Litowitz's Adaptability Quotient framework is relevant.The embedded clip makes the liquidity point concrete. Litowitz says DPI is “the resolution of uncertainty” because it converts an uncertain investment into actual cash returned to LPs. In his framing, a realized dollar is a real mark, while TVPI remains uncertain until it is realized.The killer detail is the distinction between pricing risk and resolving uncertainty. Litowitz's perspective matters because QStar is a SpaceX investor and Clarkson says the conversation happened just before one of venture's most consequential IPOs. The episode's stated questions are why venture remains a way to gain exposure to innovation, how AI is changing what is investable, why liquidity is ultimately a function of time, and why uncertainty requires a different decision framework from risk.Read more: XThe Best Angel Investors in the US: Who Backs the Most Unicorns, and Who's Active NowAuthor: Ilya Strebulaev Published: July 10, 2026Ilya Strebulaev ranks angels, angel groups, accelerators, and incubators by lifetime U.S. unicorn investments, counting checks written before a company reached unicorn status. The top of the combined list is dominated by organizations: Y Combinator leads with 113 unicorn investments, followed by Plug and Play at 52 and 500 Global at 41. Sand Hill Angels is the highest-ranked angel group at 31.The killer detail is how quickly the list changes below the biggest accelerators. Strebulaev says 271 of the 304 investors in the Top 200 are individuals, or 89%. In the top 100, individuals are 91%. That makes the market underneath the large accelerator counts look much more personal: mostly operators and individual angels writing early checks from their own networks.The pull is the ranking's own caveat. Strebulaev writes that every lifetime leaderboard has a blind spot because many of the unicorns behind those totals were founded a decade or more ago, and some angels have since moved into formal funds, slowed down, or stopped investing. His post therefore separates lifetime performance from recent cohorts, including companies founded in 2015 or later and 2020 or later. For founders or allocators making current decisions, that distinction matters: a career record and a current record are not the same measure.Read more: Ilya StrebulaevAre Prediction Markets Doomed to Fail?Author: Contrary Published: July 16, 2026Contrary argues that prediction markets' current boom depends on whether platforms can prove they are more than regulated gambling with exchange-style branding. Kalshi and Polymarket have reached mass cultural, investor, and regulatory attention, but the article says the underlying idea is old: academic markets, corporate forecasting tools, Intrade, PredictIt, and other predecessors all struggled with the same linked problems of liquidity, legality, and user appeal.The killer detail is the comparison with sportsbooks. Prediction markets present themselves as peer-to-peer, transparent, and non-house-based, but sports contracts reportedly account for more than 90 percent of Kalshi trading, and the article says the platforms keep a much thinner slice of volume than sportsbooks. A market can therefore show sports-betting-scale handle while generating far less revenue.The pull is that the product's hardest problem may be distribution of wins. If a small group of sharp traders captures most profits while casual users lose interest, prediction markets may become valuable data feeds and professional tools before they become durable consumer networks.Read more: SourceRegulationExclusive: The Next Frontier of the Deportation Wars: College CampusesAuthor: Adrian Carrasquillo Published: July 11, 2026Adrian Carrasquillo reports that college campuses are becoming a new front in the fight over immigration enforcement because automatic license plate readers can turn ordinary campus security infrastructure into searchable location data. His thesis is that Flock Safety's camera network, even without direct ICE or DHS contracts, can feed deportation enforcement through local police partnerships and data-sharing practices.The killer detail is the campaign target. The Emergency Campaign to Support Higher Education, working with Schools Drop ICE, is focusing on 75 colleges and universities publicly identified as having Flock contracts. Flock says it has no ICE or DHS contracts, but activists argue the risk comes through local agencies that coordinate with federal authorities and run searches on their behalf.The pull is broader than immigration. Carrasquillo notes that license plate readers have already been abused by officers for stalking, and that Flock's AI search features can identify more than plates, including bumper stickers. A campus safety tool can become a political surveillance system when the data layer is searchable.Read more: The BulwarkThe Supreme Court Broke Independent Agencies. Here's a Way to Slow the Damage.Author: Todd Phillips Published: July 12, 2026Todd Phillips argues that the Supreme Court's decision in Trump v. Slaughter damaged independent agencies by ending for-cause removal protections, but did not leave Congress powerless. The ruling weakens the old model in which commissioners at bodies such as the FTC, NLRB, CPSC, SEC, and CFTC could be insulated from dismissal over policy disagreements. Phillips says the next fight is whether presidents can turn nominally bipartisan commissions into one-party instruments.The killer detail is the procedural fix: quorum rules. Phillips proposes that Congress require bipartisan slates of commissioners to be seated before independent agencies can act. A president

Outlouders, enjoy this free taster of Mia Freedman, Holly Wainwright & Emily Vernem on our subscriber-only episode. You can listen to the full conversation here: Goodbye Sam, WTF Charlize & One Very Messy Celebrity Split Like many Outlouders, we were shocked and saddened by the sudden passing of beloved Kiwi-Aussie movie star Sam Neill. We reflect on the loss, his career, and how he effortlessly won over a whole new generation. Plus, images of Charlize Theron on the red carpet of a premiere in Paris prompted an immediate, collective response. It has sparked a necessary conversation about body dysmorphia in midlife, shifting beauty standards, and why remaining youthfully thin into your 50s has become the ultimate high-status trap. And, the celebrity breakup that has us absolutely reeling: Jack Antonoff and Margaret Qualley are officially over. How does a relationship fall apart just six weeks after a highly publicised podcast tour declaring your marriage your absolute safe space? We unpack the rumours of a messy co-star affair, the volatile reality behind the scenes, and why it is so much harder to delete a love song than an Instagram post. Get access to Very Peri, Mamamia's exclusive perimenopause series, for just $59. 25 world-leading experts, over 20 on-demand sessions, available now. We’ve sorted through the noise so you don't have to. Go to veryperi.com.au and join me today. You hot? Same. Buy today and save 40% What To Listen To Next: Listen to our latest episode: Lena’s Revenge, Harry’s Secret Tea & Clare Calls In Listen: Airport Divorce & The Podcast Cutting Our Grass Listen: The Unseen Scar: An Honest Conversation About Coercive Control Listen: Your Boss Is Sick Of Your Emotions & The Steve And Miranda Theory Listen: Harry’s Trauma Response & Breastfeeding At 49 Listen: Albo’s Kylie Problem & Harry’s Eat Pray Love Moment Connect your subscription to Apple Podcasts Got questions or things you'd like Mia to talk about? Email us at outloud@mamamia.com.au Discover more Mamamia Podcasts here including the very latest episode of Parenting Out Loud, the parenting podcast for people who don't listen to... parenting podcasts. SUBSCRIBE here: Support independent women's media You can now watch our show in full length video on the Apple Podcast app - make sure your phone is up to date and we can't wait for you to see Mamamia Out Loud on Apple What to read: In 2022, Sam Neill was diagnosed with a rare form of blood cancer. He's now grateful to 'be alive'. Legendary NZ actor Sam Neill has passed away. This is what we know. Margaret Qualley and Jack Antonoff's breakup is a new spin on an old dynamic. Jack Antonoff knew he wanted to marry Margaret Qualley the moment they met. Three years later, it's over. THE END BITS: Check out our merch at MamamiaOutLoud.com Keen for more? Check out the Mamamia Out Loud newsletter. GET IN TOUCH: Feedback? We’re listening. Send us an email at outloud@mamamia.com.au Share your story, feedback, or dilemma! Send us a voice message. Join our Facebook group Mamamia Outlouders to talk about the show. Follow us on Instagram @mamamiaoutloud and on Tiktok @mamamiaoutloud Mamamia acknowledges the Traditional Owners of the Land on which we have recorded this podcast.Become a Mamamia subscriber: https://www.mamamia.com.au/subscribeSee omnystudio.com/listener for privacy information.

Keen on Retirement listener "Joe" is 51 and his wife is 60. They are thinking about an early retirement before either of them turns 65. Joe wrote in asking about the best strategy for coordinating Social Security benefits around that retirement goal. Should they take his wife's benefits now? Delay benefits to keep their income low and make Roth conversions? And since they're both too young to collect Medicare, how will their Social Security benefits affect their Affordable Care Act (ACA) subsidies? The good news is that Joe and his wife are already thinking about the main topic of today's episode: when you pull one lever on your retirement plan, another piece adjusts.  Working with a professional advisor can help you navigate these interconnected decisions with greater clarity and confidence.

As always you can find Christian on Twitter/Instagram @thechrisespinal Josh @jdcole_37 and Brian @bdotesp! follow the show on Twitter/Instagram @newjumpcity. Check out Brian's Twitch Stream here! Our theme song is by @drum_fu. Watch the video version of this episode on our YouTube channel here!

This week the COWboys have a keen idea. Along with some fun and lively conversation on the topic, you''ll also hear some great music from ​Jared Rogerson (Riding High), Dallas McCord (I Don't Look Good Naked Anymore), The Rifters (Bright Side of the Road), and Cowboy Nation (Shenandoah). There is also some great cowboy poetry this week from ​Jay Snider (The Twister). We'll have the ever popular Dick's Pick (LeRoy Van Dyke: The Auctioneer), Cowpoke Poetry, and a whole bunch of goofin' off too!

Ep 284 Adam Keen – The True Meaning of Yoga Adam explores the true essence of yoga, its practical and spiritual dimensions, and how modern practices relate to traditional roots. They challenge common misconceptions and emphasize personal inquiry and responsibility in yoga practice. KEY TOPICS  ·       The distinction between yoga as a spiritual and practical practice ·       The influence of Indian culture and politics on yoga ·       The evolution of yoga postures and practices in the 20th century ·       The importance of personal inquiry and responsibility in yoga ·       The critique of superficial wellness trends in modern yoga ·       The connection between yoga and self-knowledge ·       The political and cultural ownership of yoga ·       The diversity of yoga practices and their historical rootSUPPORT KEEN ON YOGA: https://www.buymeacoffee.com/infoRf FULL PODCAST LIST: https://www.keenonyoga.com/keen-on-yoga-podcast-guests/  

Jul 12, 2026 - Pastor John Keen expounds on Matthew13:1-23

Jul 12, 2026 - Pastor John Keen expounds on Matthew 13:1-23

What do you do when Victoria Beckham “ruined” your last family wedding? You take total control. Welcome to the latest billionaire Peltz family union. Two very famous women - Nara Smith and Savannah Guthrie - are navigating devastating private circumstances with very public jobs. How do you post through pain? An “Airport Divorce” will save your holiday. Who here needs one (Mia)? And Em’s obsessed with a podcast that isn’t ours. Join the waitlist for Very Peri, Mamamia's exclusive perimenopause series launching very soon. 25 world-leading experts, over 20 on-demand sessions, instant access. We’ve sorted through the noise so you don't have to. Go to veryperi.com.au today. You hot? Same. Recommendations Em recommends The Invite at the cinemas. With Olivia Wilde, Seth Rogan, Penelope Cruz and Edward Norton. Mia recommends Neil the Seal content. All of it. All the time. Holly recommends the app GoodSAM a nationwide emergency first aid app that connects first-aid responders to people who’ve had heart attacks. Keen for more? Check out the Mamamia Out Loud newsletter. What To Listen To Next: Listen to Mia & Kate on No Filter: Finally The Interview: Kate Langbroek & Mia Freedman Listen to our latest episode: The Unseen Scar: An Honest Conversation About Coercive Control Listen: Your Boss Is Sick Of Your Emotions & The Steve And Miranda Theory Listen: Harry’s Trauma Response & Breastfeeding At 49 Listen: Albo’s Kylie Problem & Harry’s Eat Pray Love Moment Listen: Emergency Meeting: Taylor Wedding Debrief With Holly & Mia Listen: The Influencer Who Disappeared & An Outlouder Made Clare Cry Listen: 9 Questions To Ask Before Going 'No Contact' Connect your subscription to Apple Podcasts Discover more Mamamia Podcasts here including the very latest episode of Parenting Out Loud, the parenting podcast for people who don't listen to... parenting podcasts. SUBSCRIBE here: Support independent women's media You can now watch our show in full length video on the Apple Podcast app - make sure your phone is up to date and we can't wait for you to see Mamamia Out Loud on Apple What to read: Nara Smith built a 'perfect' life online. Behind the scenes, she was facing every parent's nightmare. 'Nara Smith makes me feel bad about myself. She's a genius.' KATE LANGBROEK: 'I asked my son what I got right parenting him. This one response surprised me.' CLARE STEPHENS: 'Please indulge my retelling of the Greatest Wedding Drama of the 21st Century.' THE END BITS: Check out our merch at MamamiaOutLoud.com GET IN TOUCH: Feedback? We’re listening. Send us an email at outloud@mamamia.com.au Share your story, feedback, or dilemma! Send us a voice message. Join our Facebook group Mamamia Outlouders to talk about the show. Follow us on Instagram @mamamiaoutloud and on Tiktok @mamamiaoutloud CREDITS: Hosts: Holly Wainwright, Mia Freedman & Emily Vernem Acting Group Executive Producer: Emeline Gazilas Executive Producer: Grace Rouvray Video Producer: Josh Green Associate Producer: Tessa Kotowicz Mamamia acknowledges the Traditional Owners of the Land on which we have recorded this podcast.Become a Mamamia subscriber: https://www.mamamia.com.au/subscribeSee omnystudio.com/listener for privacy information.

Outlouders, enjoy this free taster of Mia Freedman, Holly Wainwright & Emily Vernem on our subscriber-only episode. You can listen to the full conversation here: Harry’s Trauma Response & Breastfeeding At 49 It is a big day of scurrilous gossip on today's subscriber episode as Mia, Holly, and Em try to understand why our favourite celebrities simply refuse to stop doing things. First up, as Taylor Swift and Travis Kelce wrap up their honeymoon, the media has pivot-scrolled to their massive, allegedly 40-page prenup. We unpack the rumoured 40-page blueprint designed to bulletproof Taylor's multi-billion dollar empire, and why young couples are suddenly completely obsessed with the "postnup." Plus, the absolute storm of chaos surrounding Prince Harry's trip to London has just taken its messiest turn yet with a brutal, peak-petty Buckingham Palace RSVP rejection that has us questioning what is really going on behind the scenes. And, Australian actress Melissa George just dropped a surprise photo casually breastfeeding her newborn child at a Paris cafe at 49 years old. We discuss. Join the waitlist for Very Peri, Mamamia's exclusive perimenopause series launching very soon. 25 world-leading experts, over 20 on-demand sessions, instant access. We’ve sorted through the noise so you don't have to. Go to veryperi.com.au today. You hot? Same. What To Listen To Next: Listen to our latest episode: Albo’s Kylie Problem & Harry’s Eat Pray Love Moment Listen: Emergency Meeting: Taylor Wedding Debrief With Holly & Mia Listen: The Influencer Who Disappeared & An Outlouder Made Clare Cry Listen: 9 Questions To Ask Before Going 'No Contact' Listen: ‘Old Money’ Face & The Fight Millennials Are Having With Their Parents Listen: “Emotional Blackmail” An Update On Harry’s Visit Home Listen: A ‘Food Free’ House & Everything We Know About Taylor’s Wedding Connect your subscription to Apple Podcasts Got questions or things you'd like Mia to talk about? Email us at outloud@mamamia.com.au Discover more Mamamia Podcasts here including the very latest episode of Parenting Out Loud, the parenting podcast for people who don't listen to... parenting podcasts. SUBSCRIBE here: Support independent women's media You can now watch our show in full length video on the Apple Podcast app - make sure your phone is up to date and we can't wait for you to see Mamamia Out Loud on Apple What to read: This is what 43 looks like now: 23 and pregnant Every single Taylor and Travis wedding update you missed since the big day. Taylor Swift and Travis Kelce are officially married. This is what we know. Prince William just gave his most candid interview. One comment lands like a message to his brother. HOLLY WAINWRIGHT: 'King Charles is "furious" with one of his sons. And it's not Harry.' THE END BITS: Check out our merch at MamamiaOutLoud.com Keen for more? Check out the Mamamia Out Loud newsletter. GET IN TOUCH: Feedback? We’re listening. Send us an email at outloud@mamamia.com.au Share your story, feedback, or dilemma! Send us a voice message. Join our Facebook group Mamamia Outlouders to talk about the show. Follow us on Instagram @mamamiaoutloud and on Tiktok @mamamiaoutloud Mamamia acknowledges the Traditional Owners of the Land on which we have recorded this podcast.Become a Mamamia subscriber: https://www.mamamia.com.au/subscribeSee omnystudio.com/listener for privacy information.

When a corporate jet is torn through a fold in space and time, its passengers find themselves offered a second chance a thousand years from home — if they're willing to leave everything behind.Look for this podcast on Apple Podcasts, Spotify, iHeart Radio, Amazon Music, Pandora, TuneIn Radio, and other podcast apps. Get a list of free listening apps here: https://weirddarkness.tiny.us/OTRCHAPTERS & TIME STAMPS (All Times Approximate)…00:00:00.000 = Show Open00:01:30.028 = CBS Radio Mystery Theater, “The Time Fold” (March 16, 1978)00:45:45.739 = Beyond Midnight, “Signalman” (March 28, 1969)01:14:36.277 = MindWebs, “Sword Game” (February 26, 1983)01:37:43.928 = Mystery In The Air, “Beyond Good And Evil” (August 28, 1947) ***WD02:06:30.486 = Molle Mystery Theater, “Murder Without Crime” (May 03, 1946)02:35:54.321 = Mr. Keen, “Murder In The Air” (February 24, 1944) ***WD03:04:51.982 = Murder at Midnight, “Murder Out of Mind” (September 15, 1947 – Never Aired)03:31:07.980 = Black Museum, “The Spotted Bedsheet” (October 21, 1952)03:57:04.381 = Mysterious Traveler, “Murder In 2952” (April 29, 1952)04:27:01.192 = CBC Nightfall, “The Appetite of Mr Lucraft” (December 26, 1980)04:58:34.157 = Show Close(ADU) = Air Date Unknown(LQ) = Low Quality***WD = Remastered, edited, or cleaned up by Weird Darkness to make the episode more listenable. Audio may not be pristine, but it will be better than the original file which may have been unusable or more difficult to hear without editing.CUSTOM WEBPAGE: https://weirddarkness.com/WDRR0708

A newly formed group is aiming to look after the future of New Zealand's organic industry. Young Organic Growers Aotearoa is targeting organic growers aged 40 and under, and already it has seventy members including market gardeners, viticulturists, orchard growers, and dairy farmers. The group's first event sold out, with people travelling from all over the North Island to be part of it. Chair of the group, Alex Morrisey chats to Emile. [picture id="4JM2K2K_IMG_4703_jpeg" crop="16x10" layout="full"]

Em grew up watching this woman live her life online - and now she’s gone. Why and how and what does it mean?Is it okay for older women to “perve” at younger men? One writer says yes, and also that there needs to be a new name for it. Also, what people in the front row and concerts are really doing in their pants and why pop stars have had enough of it. Clare has a message for Outlouders on her last show before her baby boy arrives. And it made her cry a little bit. Holly has a very, very weird little show for you, and Em wants you to get behind the return of the dragons. Join the waitlist for Very Peri, Mamamia's exclusive perimenopause series launching very soon. 25 world-leading experts, over 20 on-demand sessions, instant access. We’ve sorted through the noise so you don't have to. Go to veryperi.com.au today. You hot? Same. Recommendations Em recommends the House Of The Dragon on HBO. Clare recommends YOU, the Outlouders. Holly recommends Small Prophets on ABC iview. Keen for more? Check out the Mamamia Out Loud newsletter. What To Listen To Next: Listen to our latest episode: 9 Questions To Ask Before Going 'No Contact' Listen: ‘Old Money’ Face & The Fight Millennials Are Having With Their Parents Listen: “Emotional Blackmail” An Update On Harry’s Visit Home Listen: A ‘Food Free’ House & Everything We Know About Taylor’s Wedding Listen: The Toddler Mum's Sex Story Everyone's Yelling About Listen: Unpacked: Rivals, The Rompiest Show On Television Listen: EMERGENCY MEETING: Karl, Tommy & The Sack Listen: 'Australia Aged Me 13 Years' & Did Pauline Hanson Say That? Listen: Two Bachelorettes, Zero Chill: Taylor’s Mystery Party Connect your subscription to Apple Podcasts Discover more Mamamia Podcasts here including the very latest episode of Parenting Out Loud, the parenting podcast for people who don't listen to... parenting podcasts. SUBSCRIBE here: Support independent women's media You can now watch our show in full length video on the Apple Podcast app - make sure your phone is up to date and we can't wait for you to see Mamamia Out Loud on Apple What to read: What in the faecal matter is going on with live concerts? A fight in a sold-out theatre, and the problem with public behaviour in 2026. HOLLY WAINWRIGHT: Want to start a fight in 3 words? Work from home. 'I'm a WFH parent. Here are the 6 hacks I swear by to actually make it work.' THE END BITS: Check out our merch at MamamiaOutLoud.com GET IN TOUCH: Feedback? We’re listening. Send us an email at outloud@mamamia.com.au Share your story, feedback, or dilemma! Send us a voice message. Join our Facebook group Mamamia Outlouders to talk about the show. Follow us on Instagram @mamamiaoutloud and on Tiktok @mamamiaoutloud CREDITS: Hosts: Holly Wainwright, Clare Stephens & Emily Vernem Acting Group Executive Producer: Emeline Gazilas Executive Producer: Grace Rouvray Video Producer: Josh Green Associate Producer: Tessa Kotowicz Mamamia acknowledges the Traditional Owners of the Land on which we have recorded this podcast.Become a Mamamia subscriber: https://www.mamamia.com.au/subscribeSee omnystudio.com/listener for privacy information.

Season 6, Episode 14 - We're right in the heart of summer, with the Fourth of July weekend bringing together everything we love about this time of year—camping, swimming, fishing, and time on the water, all mixed with patriotic parades and fireworks across the Pocono Mountains.As we get ready for a brand-new episode of Pocono Mountains Magazine airing Sunday, July 5th, we're heading to Keen Lake Camping and Cottage Resort near Waymart. It's a special place where one family's roots stretch back more than 200 years—and for over 70 years, generations of visitors have returned again and again to create lasting memories.And yes… Jim may have even spent a summer or two lifeguarding there about 20 years ago. In this episode, Diana Fontanez sits down with the Keen sisters to talk about how Keen Lake began, how it has grown over the decades, and how the next generation is carrying that legacy forward—while staying true to what makes it feel like home.The Poconos is a year-round destination for millions and with 24-hundred square miles of mountains, forests, lakes and rivers with historic downtowns and iconic family resorts, it's the perfect getaway for a weekend or an entire week. You can always find out more on ⁠⁠⁠⁠⁠PoconoMountains.com⁠⁠⁠⁠⁠ or watch ⁠⁠⁠⁠⁠Pocono Television Network⁠⁠⁠⁠⁠ streaming live 24/7.

The kindly old investigator wraps up the mystery today. Mr. Keen and Mike Clancey have been investigating the death of Donald Traviss. Mr. Keen has his eye on two suspects,…

Outlouders, enjoy this free taster of Mia Freedman, Holly Wainwright & Emily Vernem on our subscriber-only episode. You can listen to the full conversation: “Emotional Blackmail” An Update On Harry’s Visit Home The royal reunion we've all been following might not happen after all. Prince Harry and Meghan were reportedly planning to bring the kids to the UK for the first time in four years, but now the trip is in doubt after Harry's request for police protection was denied. Is this the latest chapter in the royal rift, or a completely reasonable decision from parents trying to protect their children? Plus, Alex Cooper has finally responded to the allegations surrounding her media company, Unwell. It raises a familiar question: when the controversy centres on a man, why does the woman so often end up carrying the public fallout? And Mia Freedman has some hard-earned advice for Alex about surviving life as a woman running a media company. What To Listen To Next: Listen to our latest episode: Miranda Kerr’s Money Tree & Karl’s ‘Martyr Strategy’ Listen: The Toddler Mum's Sex Story Everyone's Yelling About Listen: Unpacked: Rivals, The Rompiest Show On Television Listen: EMERGENCY MEETING: Karl, Tommy & The Sack Listen: 'Australia Aged Me 13 Years' & Did Pauline Hanson Say That? Listen: Two Bachelorettes, Zero Chill: Taylor’s Mystery Party Connect your subscription to Apple Podcasts Got questions or things you'd like Mia to talk about? Email us at outloud@mamamia.com.au Discover more Mamamia Podcasts here including the very latest episode of Parenting Out Loud, the parenting podcast for people who don't listen to... parenting podcasts. SUBSCRIBE here: Support independent women's media You can now watch our show in full length video on the Apple Podcast app - make sure your phone is up to date and we can't wait for you to see Mamamia Out Loud on Apple What to read: Check out the Mamamia Out Loud Newsletter: Are you a William Hawk or a Harry Dove? It's easy to dismiss her, but you should know about the cult of Alex Cooper. Meghan Markle has only just arrived in Australia, but the most damning story about her has already been written. 'I spent a morning with Prince Harry. It wasn't at all like I expected.' HOLLY WAINWRIGHT: Why Fergie is the most feared royal. THE END BITS: Check out our merch at MamamiaOutLoud.com Keen for more? Check out the Mamamia Out Loud newsletter. GET IN TOUCH: Feedback? We’re listening. Send us an email at outloud@mamamia.com.au Share your story, feedback, or dilemma! Send us a voice message. Join our Facebook group Mamamia Outlouders to talk about the show. Follow us on Instagram @mamamiaoutloud and on Tiktok @mamamiaoutloud Mamamia acknowledges the Traditional Owners of the Land on which we have recorded this podcast.Become a Mamamia subscriber: https://www.mamamia.com.au/subscribeSee omnystudio.com/listener for privacy information.

Mary Keen has worked in, documented and designed gardens all over the world for decades. But it's the garden she's made at home, during her ninth decade, that she writes most affectionately about. In her seventh book, Diary of a Keen Gardener, she reflects on both a life shaped by plants and her more recent years, when she has weathered grief, illness and aging. It's an honest love letter to what makes a garden. And it's here that we meet Mary, on a breezy spring day, to take a studied tour around her Gloucestershire garden.Diary of a Keen Gardener is available in hardback now, and you can follow Mary's exploits on instagram: @keenkeengardener.This podcast is inspired by my book, Why Women Grow: Stories of Soil, Sisterhood and Survival, which is available in all good bookshops. We've also been photographing our guests and their gardens and you can see the beautiful images captured by India Hobson on my website and instagram account @⁠⁠alicevincentwrites⁠⁠. Thank you to our friends at ⁠⁠⁠Niwaki⁠⁠⁠. You can get 10% off your order with the code WHYWOMENGROW.If you're new to the Why Women Grow podcast, do check out our previous episodes, including guests such as Sarah Raven and Ula Maria. And if you've enjoyed this episode, it would mean so much if you could rate and review the podcast on whichever platform you're listening in on, or share it with someone you think may enjoy it.This episode was produced by Holly Fisher. The theme music is by Maria Chiara Argiro. 

Keen traveller Elizabeth takes on synth enthusiast David..

Two downed pilots wash up on a deserted Pacific island and discover that the atomic bomb tests there have bred something monstrous in the lagoon — and it's coming ashore. | Mysterious Traveler: “Strange New World”Look for this podcast on Apple Podcasts, Spotify, iHeart Radio, Amazon Music, Pandora, TuneIn Radio, and other podcast apps. Get a list of free listening apps here: https://weirddarkness.tiny.us/OTRCHAPTERS & TIME STAMPS (All Times Approximate)…00:00:00.000 = Show Open00:01:30.028 = CBS Radio Mystery Theater, “Loser Take it All” (February 24, 1978) ***WD00:46:58.849 = Molle Mystery Theater, “Doctor And Lunatic” (April 26, 1946)01:16:08.715 = Mr. Keen, “Mr. Trevor's Secret” (February 17, 1944)01:46:10.329 = Murder at Midnight, “Death Across The Board” (September 18, 1946)02:12:35.073 = The Black Museum, “A Silencer” (1951-1952) ***WD02:39:11.673 = Mysterious Traveler, “Strange New World” (February 19, 1952) ***WD03:09:18.423 = CBC Nightfall, “The Chrysalids, Part 1” (June 10, 1983)03:39:33.359 = CBC Nightfall, “The Chrysalids, Part 2” (June 17, 1983) ***WD (LQ)04:07:01.729 = CBC Nightfall, “The Chrysalids, Part 3” (June 24, 1983)04:37:59.139 = Obsession, “Wind Song” (1950-1951)05:07:42.417 = Show Close(ADU) = Air Date Unknown(LQ) = Low Quality***WD = Remastered, edited, or cleaned up by Weird Darkness to make the episode more listenable. Audio may not be pristine, but it will be better than the original file which may have been unusable or more difficult to hear without editing.CUSTOM WEBPAGE: https://weirddarkness.com/WDRR0699

The essay is called Motherf***er. And the accompanying photos are of one of the world’s most beautiful women, breastfeeding a doll. What in the rage bait is all this? An Outlouder’s dilemma: Sportsday makes your daughter cry. Does she still have to go? Support independent women’s media and get our biggest offer of the year. Subscribe here for 30% off your annual Mamamia subscription. Code applied at the checkout. Offer ends June 30. Plus, won’t something think of the plants? Garden centres are a hot-bed of criminal activity. The letterbox to nowhere that might just help with loss and… This week’s recommendations: Em recommends America's Sweethearts: Dallas Cowboys Cheerleaders Season 3. Clare recommends Maternal Instinct the one part documentary on Netflix. Holly recommends the Dreamfarm Garject Garlic Crusher. Keen for more? Check out the Mamamia Out Loud newsletter. What To Listen To Next: Listen to a DCC on No Filter: Payrises & Ponytails: Inside Faith Ward’s Life as a Dallas Cowboys Cheerleader Listen: Unpacked: Rivals, The Rompiest Show On Television Listen: EMERGENCY MEETING: Karl, Tommy & The Sack Listen: 'Australia Aged Me 13 Years' & Did Pauline Hanson Say That? Listen: Two Bachelorettes, Zero Chill: Taylor’s Mystery Party Listen: A Very Cranky William & A Very Wicked Woman Connect your subscription to Apple Podcasts Discover more Mamamia Podcasts here including the very latest episode of Parenting Out Loud, the parenting podcast for people who don't listen to... parenting podcasts. SUBSCRIBE here: Support independent women's media You can now watch our show in full length video on the Apple Podcast app - make sure your phone is up to date and we can't wait for you to see Mamamia Out Loud on Apple What to read: Em Rata thinks the world wants her to be relatable. She couldn't be more wrong. Every Dallas Cowboys Cheerleader shares the same signature look. Except Australian Faith Ward. Kids sport in Australia is broken. Taylor arrived at hospital with a newborn baby. The blood she was covered in wasn't her own. THE END BITS: Check out our merch at MamamiaOutLoud.com GET IN TOUCH: Feedback? We’re listening. Send us an email at outloud@mamamia.com.au Share your story, feedback, or dilemma! Send us a voice message. Join our Facebook group Mamamia Outlouders to talk about the show. Follow us on Instagram @mamamiaoutloud and on Tiktok @mamamiaoutloud CREDITS: Hosts: Holly Wainwright, Clare Stephens & Emily Vernem Acting Group Executive Producer: Sasha Tannock Executive Producer: Grace Rouvray Video Producer: Josh Green Associate Producer: Tessa Kotowicz Mamamia acknowledges the Traditional Owners of the Land on which we have recorded this podcast.Become a Mamamia subscriber: https://www.mamamia.com.au/subscribeSee omnystudio.com/listener for privacy information.

Drop-Coated Dog Care: Grooming & Breeding Secrets with Pat Keen-Fernandes [caption id="attachment_16535" align="alignleft" width="183"] Pat Keen Fernandes judging the YTCA Top Twenty.[/caption] Host Laura Reeves sits down with legendary handler Pat Keen-Fernandes at the Yorkshire Terrier Club of America National Specialty to discuss the strict weekly bathing regimen required for drop-coated breeds, the genetics behind eliminating face staining and the crucial need for mentorship and pet trusts within the purebred dog community. Episode Highlights The Golden Rule of Drop Coats:Learn why a strict bathing regimenevery five to seven daysis the single most critical factor in achieving a beautiful, flowing coat.Choosing the Right Tools:Discover why a high-quality,forgiving pin brush with a flexible, squishy padis the ultimate tool for maintaining delicate coats without causing damage.Shih Tzu School & Mentorship:Pat shares how she is giving back to the sport by mentoring new exhibitors throughShih Tzu Schoolto help preserve the future of drop-coated breeds.Breeding for Health and Structure:Explore how selective breeding naturally prevents issues like tear-staining, and why evaluating dogs based on overall balance and proper shoulder placement is essential.Protecting Your Dogs with Pet Trusts:A sobering discussion on why every breeder and owner must establish written wills orpet truststo ensure their dogs are protected if they are left behind.

At her own party, a wealthy widow watches her trusted investment counselor's fingers close around a small copper idol — the Queen of Thieves — as if the little goddess had reached out of the shadows and chosen him for her own.Look for this podcast on Apple Podcasts, Spotify, iHeart Radio, Amazon Music, Pandora, TuneIn Radio, and other podcast apps. Get a list of free listening apps here: https://weirddarkness.tiny.us/OTRCHAPTERS & TIME STAMPS (All Times Approximate)…00:00:00.000 = Show Open00:01:30.028 = CBS Radio Mystery Theater, “Ranee of Rajputana” (January 24, 1978) ***WD00:47:42.858 = Mr. Keen, “the Boy Who Used Big Words” (February 10, 1944) ***WD01:16:48.935 = Murder at Midnight, “Black Swan” (August 18, 1947)01:44:05.862 = The Black Museum, “Shilling” (1952) ***WD02:09:13.868 = Mysterious Traveler, “Stranger In The House” (January 29, 1952)02:40:26.038 = Mystery House, “Murder Takes Practice” (April 21, 1946) ***WD03:07:28.614 = Night Beat, “Antonio's Return” (July 13, 1951) ***WD03:36:51.555 = Nightfall, “After Sunset” (April 29, 1983)04:03:47.330 = Obsession, “Dynamite” (October 09, 1950) ***WD04:34:36.912 = Pat Novak For Hire, “Jack of Clubs” (February 20, 1949) ***WD05:04:05.819 = Show Close(ADU) = Air Date Unknown(LQ) = Low Quality***WD = Remastered, edited, or cleaned up by Weird Darkness to make the episode more listenable. Audio may not be pristine, but it will be better than the original file which may have been unusable or more difficult to hear without editing.CUSTOM WEBPAGE: https://weirddarkness.com/WDRR0689