Podcasts about Skype

Skype of Cthulhu presents a Call of Cthulhu scenario. Moonchild by Paul Fricker. October, 2013 Springfield, Massachusetts The classmates all pursue different leads while some meet with the man at the center of the mystery. Dramatis Persone: Edwin as the Keeper Randall as Ray West, IT Professional Gary as Maggi Stern, Retail Manager Meredith as Alicia Jucio, Antiques Dealer Steve as Melinda Moody, Journalist Max as Erik Wilson, Accountant Jim as John Vinocur, Nurse Download Subcription Options Podcast statistics

Skype of Cthulhu presents a Call of Cthulhu scenario. Moonchild by Paul Fricker. October, 2013 Springfield, Massachusetts Other revelations come forward from another members of the college occult club and the group investigates their old leader's current life. Dramatis Persone: Edwin as the Keeper Randall as Ray West, IT Professional Gary as Maggi Stern, Retail Manager Meredith as Alicia Jucio, Antiques Dealer Steve as Melinda Moody, Journalist Max as Erik Wilson, Accountant Jim as John Vinocur, Nurse Download Subcription Options Podcast statistics

Skype of Cthulhu presents a Call of Cthulhu scenario. This is Our Home by Jim Phillips. December 14, 1976 Staten Island, New York City, New York The residents complete research at the local university while Mr. Romero continues to peer into the past. Dramatis Persone: Jim as the Keeper of Arcane Lore Randall as Frank Romero, Electrical Engineer Rachel as Marsha Janelle, Waitress Steve as Trae Grier, Gas Station Attendant Edwin as Kevin Mazer, Chemistry Teacher Gary as Peter Michale, Ex Pro Quarterback Sean as Kirk Griffin, Actor Download Subcription Options Podcast statistics

Skype of Cthulhu presents a Call of Cthulhu scenario. Moonchild by Paul Fricker. October, 2013 Springfield, Massachusetts Old school mates reunite to hear an incredible story from a long-absent friend. Dramatis Persone: Edwin as the Keeper Randall as Ray West, IT Professional Gary as Maggi Stern, Retail Manager Meredith as Alicia Jucio, Antiques Dealer Steve as Melinda Moody, Journalist Max as Erik Wilson, Accountant Jim as John Vinocur, Nurse Download Subcription Options Podcast statistics

What do you do when you follow the love of your life to a new country and aren’t legally allowed to work? You start Shopify… Dave Young: Welcome to the Empire Builders Podcast, teaching business owners the not so secret techniques that took famous businesses from mom and pop to major brands. Stephen Semple is a marketing consultant, story collector, and storyteller. I’m Stephen’s sidekick and business partner, Dave Young. Before we get into today’s episode, a word from our sponsor, which is, well, it’s us, but we’re highlighting ads we’ve written and produced for our clients. So here’s one of those.  [Kooler Garage Doors Ad] Dave Young: Welcome back to the Empire Builders Podcast, eh. Stephen Semple: Eh? Dave Young: See what I did there? See what I did there, Stephen? Stephen Semple: I do. Dave Young: Stephen whispered in my ear that we’re going to talk about a Canadian company, eh. Shopify. Stephen Semple: Shopify. Dave Young: And I didn’t know they were Canadian. Stephen Semple: Yes, they are. Yeah. Dave Young: Well, do tell. Stephen Semple: Yeah. Well, and here’s one of the things that I love about this story is it was started by a person who couldn’t get a job and decided to sell snowboards online. Dave Young: All right. Stephen Semple: Right? Dave Young: Snowboards. Stephen Semple: How could I not love that? Dave Young: Yeah. You would love that all day long. Is that where you bought your first snowboard? Stephen Semple: No, it is not but… Dave Young: Wait, wait, you weren’t that kid, were you? Stephen Semple: No, I was not. So they’re a big deal, annual revenue of close to $12 billion. They’re one of Canada’s most valuable companies with $160 billion market cap. They’ve got 7,600 employees worldwide and kind of like five million online stores in 175 countries. And here’s the figure that got me the most when I was researching it. And it’s the number 378 billion. That’s how much merchandise was sold in a year. $370 billion worth of merchandise was sold through Shopify. Dave Young: All right. Stephen Semple: Put that into context, that’s the GDP of Singapore. Dave Young: Yeah, that’s crazy. Stephen Semple: Isn’t that crazy? Dave Young: That’s a lot of sales. Stephen Semple: Yeah. So Shopify was founded in 2006 in Ottawa by Tobias Lutke, Daniel Weinand and Scott Lake. But our story starts a couple of years before with Snowdevil, the snowboarding business. Dave Young: Okay. Stephen Semple: So Tobias was born and raised in Germany, and his parents had this place in the Alps, and they would often drive to the Alps to go skiing. Then they decided to do a trip to Canada to do Whistler. At the time, the Canadian dollar was low. It was like the 2000s, and he decided he was going to snowboard rather than ski. And this is when he fell in love with two things, snowboarding, and he met his now wife, Fiona. Dave Young: Was she also snowboarding? Do we know? Stephen Semple: I don’t know whether she was snowboarding or not. That’s an interesting question. Dave Young: All right. Stephen Semple: So he returns to Germany, they keep in touch, and when she finishes her bachelor degree, she decides to move to Germany. So in Germany, Tobias struggled in school, ADHD, dyslexia, dropped out after grade 10, and he joins a programming apprenticeship program at Siemens. And he’s part of this kind of rebellious environment. He loves it. And he and Fiona are together for about 10 months, and she decides she needs to return to Ottawa to start her master’s program. So he moves with her to Ottawa. Now, he tried to work remotely, but remember, this is the early 2000s. Tools were not really there. You didn’t have Slack, you didn’t have Zoom. It was tough. He wasn’t really able to do it. Dave Young: A little bit of Skype going on by then maybe, but yeah. Stephen Semple: Yeah, maybe, but even not great, right? He’s spending a bunch of time snowboarding and he dives into it and he’s learning all he can about it. And he even started thinking, “Well, maybe I could sell snowboards online.” And around this time, he gets offer for a job with a business in Ottawa, and the topic of work permit comes up, which oops, he doesn’t have. Dave Young: Doesn’t have a work permit. Yeah. Stephen Semple: Right. He’s legally allowed in the country, but he’s not allowed a work permit. So he goes to see a lawyer and he’s told, “Hey dude, you’re unlikely you got a work permit. You’re legal in the country. You could start a business, but you can’t work for someone.” Dave Young: But you can start one. Stephen Semple: But you could start one. Dave Young: That’s all right. I mean, that’s fair. Stephen Semple: So he decides snowboards online, it is. That’s what he’s going to do. Dave Young: Put a hold on that because I’m thinking, start a business. I’m wondering if that’s why there are so many foreign taxi drivers, that a taxi cab was actually a business. Stephen Semple: Could be. Dave Young: Working for somebody, you’re working for yourself. Stephen Semple: You are, you’re independent. Yeah. Dave Young: Maybe the whole taxi industry was a loophole. All right. Anyway. Stephen Semple: Could be. Dave Young: So he- Stephen Semple: So Scott Lake, who’s one of the founders, worked for the company that tried to hire Tobias, and they keep in touch. And they decide to create this company Snowdevil together because Scott had all these vendor relationships. Tobias worked on the technology. Now, here was the problem at the time. There was not software to make any of this easy, especially the credit card. Dave Young: Sure. Stephen Semple: And it was really hard updating and changing websites. Here’s the part that I loved. They wanted to tell stories about every snowboard that was sold. They actually wanted to take the board onto the mountain and chronicle how they spent the day and tell that story of that board and put it on the website. That’s how they were selling boards. This was also around the time the emergence of blogging. So they really felt that if you could wrap this really great story around the product and get people excited about it, they would buy from you and they wanted to break away from this Sears catalog model through the stories. Dave Young: Is this every individual board? Stephen Semple: Yes, had a story. Dave Young: Or every model. Stephen Semple: Every board had a story. Dave Young: Not every model of board. Every single board. Stephen Semple: Well, sorry. When I say board- Dave Young: Every model. Stephen Semple: Every model. Dave Young: Okay. Stephen Semple: Yes. Dave Young: Got you. Stephen Semple: Every model had a story. Dave Young: I mean, because that’s a lot of snowboarding. Stephen Semple: Well, but it was also the early days, there weren’t that many boards out too. Dave Young: Yeah, yeah. Stephen Semple: Your universe was not as big as it is today. So Tobias, they’re trying to figure out how to do this, and he comes across this program called Ruby on Rails. And here’s the thing that was funny. Dave Young: I remember Ruby on Rails. Stephen Semple: The source code at the time was Latin characters and all the documentation was in Japanese, but he still figured out how to make it work. Dave Young: Okay. Stephen Semple: So he started to build an e-commerce platform on that. And one of the big moments for Tobias, and this is the inspiration for Shopify, is the feeling he got when they got notice of their first sale where he’s sitting there and he gets a bing on his phone and they’ve made a sale. And that feeling that he had in that moment was just unbelievable for him. Dave Young: Cha-ching. Yeah. Somebody found us and bought something from us. Stephen Semple: Somebody found us and bought something. This is incredible. Now, they built the business on pay-per-click, but you got to also remember, AdWords at the time, 20 cents a click is what they were spending. Think about it. In the sporting goods space, 20 cents a click. Dave Young: Nobody else had figured it out yet. Stephen Semple: No one else figured it out. And at the time, snowboards had really good margins. They had a good winter. Things went really well. They’re coming into the summer, things are slowing down, and they’re thinking about, “Well, what should we do?” And here’s one of the things that happened. They started getting approached by other people in the industry saying, “Hey, can you license all this stuff that you built? Because we’re trying to figure out how to do this online stuff and it’s really hard. Can you just license that to it and can we just use it?” Dave Young: Seems like they figured that out. Yeah. Stephen Semple: So in 2006, right, so in 2006, Snowdevil disappears. Shopify is born. Dave Young: All right. We can’t… Yeah. Stephen Semple: And Shopify is shopping simplified, Shopify. Dave Young: That’s brilliant. Stephen Semple: Right. Dave Young: The cool thing about software companies like that is you end up with one product and then you can sell that product a million times and it doesn’t cost you anything to make it, really. I mean, it’s software. There’s no manufacturing. Stephen Semple: There’s even something else on this. I’m in a program I think I’ve mentioned before called the Strategic Coach, quarterly coaching program, created by a guy by the name of Dan Sullivan. And one of the things Dan talks about is this idea of strategic byproducts, that when you create a really big goal, what will happen is in the process of achieving that goal, new things come out of it. And the reason why he calls them byproducts is sometimes some of the things that come out of it are way more powerful and way more valuable than the original thing you were trying to achieve. And this is a great example of it. The most valuable thing came out of it was this ability to make doing online shopping easier. Dave Young: Stay tuned. We’re going to wrap up this story and tell you how to apply this lesson to your business right after this.  [Using Stories To Sell] Dave Young: Let’s pick up our story where we left off, and trust me, you haven’t missed a thing. Stephen Semple: And the reason why he calls them byproducts is sometimes some of the things that come out of it are way more powerful and way more valuable than the original thing you were trying to achieve. And this is a great example of it. The most valuable thing came out of it was this ability to make doing online shopping easier. Their goal was to sell snowboards online. Dave Young: Yeah. Stephen Semple: The byproduct was this, and the byproduct was way more powerful, way more valuable. Dave Young: Oh, yeah. A lot of people want to sell a lot of things. Stephen Semple: But the problem is sometimes we lose sight of that. We can lose sight of it because we go, “Yeah, but I just wanted to sell snowboards. No, I’m going to ignore this thing.” Rather than, “Oh, wait a minute. Oh, wait a minute. Wait a minute. There’s this opportunity here.” So I commend them for recognizing that. So they start wanting to develop it as more of a product. Tobias calls Daniel Weinand, who’s the third founder, who’s a buddy from Germany, and he convinces them to come to Canada to help him build the product because he needs more coding. They raise some money, they’re off to the races. But here was even their challenge when it came to running money. Back then, everyone believed the future belonged to giant online malls, Amazon, eBay. Everybody just wants to go to one giant marketplace. Shopify believed something radically different. Instead of building one giant store, what they wanted was help millions of people have their own store. Because when you’re on Shopify, it’s your store. Shopify is just the back end. Dave Young: And they’re not going to do all the things that you hear Amazon does when you try to sell on Amazon, right? They’re going to go figure out how to make your product cheaper and sell it under their name. Stephen Semple: And Tobias talks about in interviews that feeling he had when they got that first online transaction. Dave Young: Yeah. Stephen Semple: That’s what he wanted people to have. He wanted people to have that opportunity. The idea behind this business was not to develop software. They don’t see themselves as a software company, but they see themselves as a company that helps people start businesses. Shopify wasn’t selling software, they were selling independence. You can own your business, you own your customer list, you own your brand, you own your future. That emotional positioning matters. And it helped attract entrepreneurs who didn’t want to sell inside the Amazon ecosystem because what they were buying was freedom. And this drove a lot of the decision-making because in 2009, the next big evolution that came along was Shopify launched an app store. And basically what it did is it opened its platform to outside developers. Suddenly anyone could build an application that extended Shopify’s capabilities, email marketing, inventory managing, shipping, loyalty programs, accounting, subscriptions, thousands of other tools. And that fundamentally changed the company because if they though of themselves as a software development company, they would’ve tried to develop those things. Instead, they saw themselves as a company that is supposed to simplify this process for people. So therefore, why don’t we take your tool and plug it into ours? Dave Young: Yeah. Yeah. Stephen Semple: Right? But that thinking is what changed everything. Now, I also want to think about this because we often talk about north stars and things along that lines. When they think about it even from a marketing perspective, when what I’m selling is I’m going to make it easier for you to become an entrepreneur, that’s a very different emotional sales pitch and positioning than I’ve got this tool. And it helped them do things like, well, why wouldn’t we do this app store? Does this app store make it easier for a person to be an entrepreneur? We’re doing it. Dave Young: Yeah, I love it. Stephen Semple: There’s 16,000 apps now in the Shopify app store, and Shopify paid developers over a billion dollars through its ecosystem. Dave Young: That’s pretty amazing. Stephen Semple: Yeah. So think about this. It’s a software company started by a software engineer that decided not to build software. Dave Young: All right. Yeah. Stephen Semple: Right? And it all goes back to that moment that Tobias felt when he had that first transaction. And he also talks about nothing else changes a person’s life by being able to build their own business. And he was like, if we can facilitate that, their goal is to facilitate people building their business. And if you think about even things like opening it up to the outside, Apple has done it with the App Store. Salesforce has done it with AppExchange, Amazon with Marketplace, Microsoft. Other companies have all done it. But I think these guys just had a real strong north star because they stopped asking the question what we can build and started asking the question of what can others build on top of what we’ve built? Dave Young: Yeah. It’s a beautiful ecosystem. Stephen Semple: Because that driving goal- Dave Young: Yeah. Stephen Semple: Yeah, because the driving goal was make it easy to start a business. Now, here’s how powerful that idea is. Heard this in an interview with Tobias. So Tobias was being interviewed and this is literally what he said. I recorded it and wrote down the quote. And since we’re talking about stats, this is the most gratifying of all the numbers related to Shopify, and it’s actually the north star of the company. That’s the words he uses. Every 52 seconds, someone has had that experience of getting their first sale, the one I described. And in so many cases, someone is going from being a builder to now being an entrepreneur. There’s so few things you can do that actually changes your identity in a meaningful degree. This company’s heart is really the founder onboarding process and trying to make this simpler. What’s been so fascinating is that the initial idea behind Shopify was that idea. Dave Young: Yeah. Every 52 seconds somebody gets their first buyer. Stephen Semple: First sale. Dave Young: First sale. That’s amazing. Stephen Semple: Their first transaction. Isn’t that incredible? And that’s- Dave Young: It’s a new store every- Stephen Semple: Right. And his summary from his interview of what’s the thing that he was most proud of was that, that’s that. Not the billions of dollars, not this, that every 52 seconds, somebody’s getting their first transaction. Dave Young: I love that. Stephen Semple: Isn’t that incredible? Dave Young: Yes. Yes. There’s nothing not incredible about it. Stephen Semple: Yeah. Dave Young: It’s a good thing they didn’t give him a work visa, is what I’m saying. Stephen Semple: Yeah, it all worked out well. But the part is that I found so interesting about this, because we do this when we work with customers. Well, with customers, we help them to find their north star. What’s your north star? Dave Young: Yeah, oh yeah. Stephen Semple: What is that thing for your business? And that the finding of the north star is what actually made all of this work. And they found their north star starting their own business when they had that first transaction. It remained true to that and has driven those decisions and has allowed them to make better strategic decisions such as the App Store. But on top of that, I’m going to say it helped all their marketing messaging because somebody who aspires to be an entrepreneur will connect with Shopify and its goals and dreams and aspirations. Dave Young: Yeah. I love that story. Stephen Semple: Yeah. Dave Young: Wizard Academy has a Shopify store. Stephen Semple: Does it? Dave Young: Yeah. Stephen Semple: Cool. Dave Young: Yeah, shop.wizardacademy.org. You can buy a mug or a postcard. Stephen Semple: There you go. Dave Young: Things like that, so. Stephen Semple: Awesome. The only reason I didn’t know that is anytime- Dave Young: I didn’t get the notifications for it. Stephen Semple: Well, and the only reason why I don’t know about that is anytime I buy stuff, I always like getting it when I’m in person. Dave Young: Exactly. Stephen Semple: Yeah, yeah. Dave Young: Way more fun. We don’t do banging business, but it’s there. Stephen Semple: It’s there and it helped you do it. Dave Young: You want the mug that I drink out of sometimes. Stephen Semple: Well, that’s it. That’s the way you should be selling them. You should be selling your dirty mugs. Dave Young: I test every mug. Very cool, Stephen. Thank you for bringing us the Shopify story. Stephen Semple: All right, thanks, David. Dave Young: Thanks for listening to the podcast. Please share us, subscribe on your favorite podcast app, and leave us a big fat, juicy five star rating and review at Apple Podcasts. And if you’d like to schedule your own 90-minute Empire Building session, you can do it at empirebuildingprogram.com.

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Skype of Cthulhu presents a Call of Cthulhu scenario. This is Our Home by Jim Phillips. December 13, 1976 Staten Island, New York City, New York The residents learn of a celestrial object heading towards earth while Mr. Griffin looks for help from an old ally. Dramatis Persone: Jim as the Keeper of Arcane Lore Randall as Frank Romero, Electrical Engineer Rachel as Marsha Janelle, Waitress Steve as Trae Grier, Gas Station Attendant Edwin as Kevin Mazer, Chemistry Teacher Gary as Peter Michale, Ex Pro Quarterback Sean as Kirk Griffin, Actor Download Subcription Options Podcast statistics

Menú de la Semana: Noticias: Naji Marshall, Dillon Brooks, Lavine, Playa Vista, Kawhi y Ballmer, y mucho más Serial Veraniego: Bulls con Nacho Gomez y Wolves con el Dr. J (Jullio Alvarez) Comentarios de los Oyentes y más: Pasamos por nuestra página de Facebook, los comentarios de Ivoox, Twitter, iTunes, Skype y comentarios@raciondenba.com Más información en raciondenba.com. Ración de NBA es un programa que trata el baloncesto NBA en español poniendo énfasis en los jugadores hispanos. Nuestra web: raciondenba.com . Mandar preguntas/comentarios: comentarios@raciondenba.com. Dejadnos un mensaje de voz en Skype: Racion de NBA. Publicamos avisos por Twitter al publicar los episodios para que sepáis cuando podéis ir a descargarlos: - Twitter - Chechu: @astrochechu - Twitter - Javier: @Racion_de_NBA_J Música: Ración de NBA - Jaime Limit Black Samba - Juanitos   http://freemusicarchive.org/music/Juanitos/Soul_Africa/03_-_Black_Samba  Owl Time - Kellee Maize http://freemusicarchive.org/music/Kellee_Maize/Owl_Time/03__Kellee_Maize__Owl_Time__Owl_Time__FROSTWIRECOM_FROSTCLICKCOM__CREATIVE_COMMONS_1846 Dance It, Dance All - The Easton Ellises http://freemusicarchive.org/music/The__Easton_Ellises_1416/Dance_it_Dance_All_1502/01_The_Easton_Ellises_-_Dance_it_Dance_All_Original_Mix Waitin´ - Betsy Olson  https://freemusicarchive.org/music/Betsy_Olson/Betsy_Olson_-_Live__KEXP_1142009/Waitin_1139/ 

Skype of Cthulhu presents a Call of Cthulhu scenario. Curse of Nineveh by Mike Mason, Mark Latham, Scott Dorward, Paul Fricker, and Andrew Kenrick. November, 1925 London The investigators make one last desparate attempt to stop the ritual, knowing that at least one of their members is on borrowed time. Dramatis Persone: Sean as the Keeper Edwin as Dame Agatha, Authoress Jonathan as Katherine "Kitty" Hall, Dilettante Steve as Connor Shaw, Archivist Max as Oswald Nickels, Big Game Hunter Gary as Anthony Kelly, Consulting Detective Randall as Dean Banks, Big Game Hunter Jim as Roger Schindler, Alienist Rachael as Maude Throckmorton, Adventuress Download Subcription Options Podcast statistics

Skype of Cthulhu presents a Call of Cthulhu scenario. This is Our Home by Jim Phillips. November 28, 1976 Staten Island, New York City, New York The residents continue to read the strange book, learning more history and magical incantations, and learn a long lost friend will be returning in time for the holidays. Dramatis Persone: Jim as the Keeper of Arcane Lore Randall as Frank Romero, Electrical Engineer Rachel as Marsha Janelle, Waitress Steve as Trae Grier, Gas Station Attendant Edwin as Kevin Mazer, Chemistry Teacher Gary as Peter Michale, Ex Pro Quarterback Sean as Kirk Griffin, Actor Download Subcription Options Podcast statistics

  00:00:00 – Viking band comeback and a first sober gig 00:04:32 – Pentagon UFO dump reveals orbs and impossible craft 00:13:10 – UFO disclosure spirals into technocratic control theory 00:17:24 – Larry Ellison pitches AI-powered mass surveillance 00:22:16 – Trump's rare-earth magnet push raises questions 00:31:36 – Tech CEOs build an Argentine apocalypse refuge 00:36:11 – World War III supply chains put Taiwan in play 00:36:11 – Turkey, Saudi Arabia, and Pakistan forge a security pact 00:44:24 – Intelligence warns Russia could test NATO 00:48:49 – Russian strikes hammer Ukraine's Black Sea logistics 00:52:52 – Thinkmaxxing influencer sells curiosity and dialectics 01:02:39 – Topical protest songs get a lyrical teardown 01:15:45 – Charlie Kirk's Israel break gets reexamined 01:25:11 – Rabbi Shmuley clashes with locals in Iceland 01:29:56 – Spider-Man rights spark a superhero movie debate 01:39:48 – Caller revisits Art Bell and Mel's Hole 01:44:19 – Art Bell's legendary Area 51 caller returns 01:46:42 – Area 51 claims echo modern alien disclosure 01:46:42 – End-of-show chatter and sign-off Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for "fair use" for purposes such as criticism, comment, news reporting, teaching, scholarship, and research ▀▄▀▄▀ CONTACT LINKS ▀▄▀▄▀ ► Phone: 614-388-9109 ► Skype: ourbigdumbmouth ► Website: http://obdmpod.com ► Twitch: https://www.twitch.tv/obdmpod ► Full Videos at Odysee: https://odysee.com/@obdm:0 ► Twitter: https://twitter.com/obdmpod ► Instagram: obdmpod ► Email: ourbigdumbmouth at gmail ► RSS: http://ourbigdumbmouth.libsyn.com/rss ► iTunes: https://itunes.apple.com/us/podcast/our-big-dumb-mouth/id261189509?mt=2  

Skype of Cthulhu presents a Call of Cthulhu scenario. Curse of Nineveh by Mike Mason, Mark Latham, Scott Dorward, Paul Fricker, and Andrew Kenrick. November, 1925 London While the investigators seek to stop the ritual, Roger makes a stunning discovery in the home of a deceased member of the team. Dramatis Persone: Sean as the Keeper Edwin as Dame Agatha, Authoress Jonathan as Katherine "Kitty" Hall, Dilettante Steve as Connor Shaw, Archivist Max as Oswald Nickels, Big Game Hunter Gary as Anthony Kelly, Consulting Detective Randall as Dean Banks, Big Game Hunter Jim as Roger Schindler, Alienist Rachael as Maude Throckmorton, Adventuress Download Subcription Options Podcast statistics

For educational purposes only It's time to get superior results with us! Support your health & wellness journey with #Titan! Feel Better, Look Better & Perform Better with TitanMedical Center! HormoneOptimization #Health #Wellness #TitanMedicalCenter

Ian Fleming's 007 novels changed the terrain of popular spy fiction for ever and gave birth to an empire of legacy for actors, artists, creatives and enthusiasts the world over. In 2015 we set up a recorder, arranged some Skype calls and trialled this podcast gig a little for posterity. By leaning into conversations around Fleming's work, our appreciation for something like LTP emerged. Our initial Bond project took us a calendar year and change and it's taken us ten more just to get these older episodes cut, reconditioned and up to snuff. We think we've made the mark but you can be the judge! Starting here, with 1953's pulp thriller "Casino Royale", we are proud to present our original Fleming discussions, never before released, into the LTP 007 pipeline.AuthorBio@12:45; PublicationInfo@44:00; Discussion@54:45; Scoring@1:39:15

00:00:00 – Solo-show setup and missing cohosts 00:04:54 – Giant UFOs cross the moon 00:14:14 – Bigelow urges Trump to confirm nonhuman presence 00:23:57 – Corporate gatekeepers control alien technology 00:28:53 – Skinwalker Ranch guards face spirit attacks 00:33:51 – Remote viewer explains alien space travel 00:41:30 – Congress backs Morocco's Spanish territorial claims 00:41:30 – Hebrew searches deepen Charlie Kirk suspicions 00:46:31 – Andrew Wilson challenges Candace Owens to debate 00:51:10 – Saudi-led investors buy Electronic Arts 00:51:10 – GPS jamming blamed for a fatal crash 00:55:53 – Earth's magnetic field may bias decisions 01:05:37 – Callers debate the Project Anchor gravity hoax 01:14:45 – Callers trade alternative-history channels 01:19:33 – Star Nation News maps galactic power shifts 01:24:20 – Alien-species sourcing faces scrutiny 01:28:19 – Show wrap and live-band plans Copyright Disclaimer Under Section 107 of the Copyright Act 1976, allowance is made for "fair use" for purposes such as criticism, comment, news reporting, teaching, scholarship, and research ▀▄▀▄▀ CONTACT LINKS ▀▄▀▄▀ ► Phone: 614-388-9109 ► Skype: ourbigdumbmouth ► Website: http://obdmpod.com ► Twitch: https://www.twitch.tv/obdmpod ► Full Videos at Odysee: https://odysee.com/@obdm:0 ► Twitter: https://twitter.com/obdmpod ► Instagram: obdmpod ► Email: ourbigdumbmouth at gmail ► RSS: http://ourbigdumbmouth.libsyn.com/rss ► iTunes: https://itunes.apple.com/us/podcast/our-big-dumb-mouth/id261189509?mt=2  

For educational purposes only It's time to get superior results with us! Support your health & wellness journey with #Titan! Feel Better, Look Better & Perform Better with TitanMedical Center! HormoneOptimization #Health #Wellness #TitanMedicalCenter

Menú de la Semana: Noticias: Lebron, Draymond, Kuminga, Joerger, Kawhi, Dundon, Doncic, y mucho más Serial Veraniego: Wizards con Ruben Escudero y los Rockets con Jonatan Reino. Comentarios de los Oyentes y más: Pasamos por nuestra página de Facebook, los comentarios de Ivoox, Twitter, iTunes, Skype y comentarios@raciondenba.com Más información en raciondenba.com. Ración de NBA es un programa que trata el baloncesto NBA en español poniendo énfasis en los jugadores hispanos. Nuestra web: raciondenba.com . Mandar preguntas/comentarios: comentarios@raciondenba.com. Dejadnos un mensaje de voz en Skype: Racion de NBA. Publicamos avisos por Twitter al publicar los episodios para que sepáis cuando podéis ir a descargarlos: - Twitter - Chechu: @astrochechu - Twitter - Javier: @Racion_de_NBA_J Música: Ración de NBA - Jaime Limit Black Samba - Juanitos   http://freemusicarchive.org/music/Juanitos/Soul_Africa/03_-_Black_Samba  Owl Time - Kellee Maize http://freemusicarchive.org/music/Kellee_Maize/Owl_Time/03__Kellee_Maize__Owl_Time__Owl_Time__FROSTWIRECOM_FROSTCLICKCOM__CREATIVE_COMMONS_1846 Requiem for a Fish - The Freak Fandango Orchestra http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/Tales_Of_A_Dead_Fish/Requiem_for_a_Fish_1403 Waitin´ - Betsy Olson  https://freemusicarchive.org/music/Betsy_Olson/Betsy_Olson_-_Live__KEXP_1142009/Waitin_1139/ 

For educational purposes only It's time to get superior results with us! Support your health & wellness journey with #Titan! Feel Better, Look Better & Perform Better with TitanMedical Center! HormoneOptimization #Health #Wellness #TitanMedicalCenter

For educational purposes only It's time to get superior results with us! Support your health & wellness journey with #Titan! Feel Better, Look Better & Perform Better with TitanMedical Center! HormoneOptimization #Health #Wellness #TitanMedicalCenter

Menú de la Semana: Noticias: Lebron en los Sixers, Kawhi, Wemby, Dort, Trae y mucho más Serial Veraniego: Arranca el Serial 2026 - con Francesc Lamela para hablar de Orlando Magic y Fran EG para hablar de los Thunder Píldora NBA: Alex English por el maestro Angel Castillo  Comentarios de los Oyentes y más: Pasamos por nuestra página de Facebook, los comentarios de Ivoox, Twitter, iTunes, Skype y comentarios@raciondenba.com Más información en raciondenba.com. Ración de NBA es un programa que trata el baloncesto NBA en español poniendo énfasis en los jugadores hispanos. Nuestra web: raciondenba.com . Mandar preguntas/comentarios: comentarios@raciondenba.com. Dejadnos un mensaje de voz en Skype: Racion de NBA. Publicamos avisos por Twitter al publicar los episodios para que sepáis cuando podéis ir a descargarlos: - Twitter - Chechu: @astrochechu - Twitter - Javier: @Racion_de_NBA_J Música: Ración de NBA - Jaime Limit Black Samba - Juanitos   http://freemusicarchive.org/music/Juanitos/Soul_Africa/03_-_Black_Samba  Sweet Sweeney - version de Sweet Caroline por Francesc Lamela y familia Requiem for a Fish - The Freak Fandango Orchestra http://freemusicarchive.org/music/The_Freak_Fandango_Orchestra/Tales_Of_A_Dead_Fish/Requiem_for_a_Fish_1403 Slow Dance- Julie & Gent https://www.jamendo.com/track/1552411/slow-dance  Waitin´ - Betsy Olson  https://freemusicarchive.org/music/Betsy_Olson/Betsy_Olson_-_Live__KEXP_1142009/Waitin_1139/ 

For educational purposes only It's time to get superior results with us! Support your health & wellness journey with #Titan! Feel Better, Look Better & Perform Better with TitanMedical Center! HormoneOptimization #Health #Wellness #TitanMedicalCenter

Ben Heath was supposed to do something sensible.Finance.Teaching.Something with math.Something that made his parents feel normal.Instead, he played $3.50 sit-n-gos.A lot of them.Ben grew up in Brighton, England, playing chess, strategy games, and tiny family card games for one-cent coins. Then he went to Warwick, studied math, and started making a little money online during university.Not millions.Not nosebleeds.Just enough to avoid getting a job.Then one of his tutors casually mentioned that a few former students had gone into professional poker.That was all it took.Ben finished his degree, skipped the finance track, and gave himself two years to make poker work.From there, things got weird fast.He met Charlie Carrel through a university Skype group, went to Amsterdam with people he'd never met, moved to London, grinded Zoom cash, played live cash on weekends, went broke, ran it back, and started taking shots that were probably not approved by any financial advisor.At one point, he had around $100K to his name…then put a huge chunk of it into a €50K in Barcelona.It went badly.Then it went very, very well.Aussie Millions runner-up.A Wynn score he somehow left in the cage.A backpack full of cash walking back to the Rio.A SCOOP swap with Charlie that changed the year.A WSOP $50K bracelet.Triton.Super high rollers.$250Ks.$500Ks.And a runner-up finish for around $8 million.In this episode of The Table 1 Podcast, Ben joins Art Parmann and Justin Young to talk about the full ride:♠️ Growing up in Brighton and studying math♥️ Playing $3.50 180-mans for university spending money♦️ Why he skipped finance and chose poker♣️ Meeting Charlie Carrel and moving to London♠️ Going broke, rebuilding, and aggressive bankroll shots♥️ The Barcelona €50K shot that nearly wrecked him♦️ The Aussie Millions run that changed everything♣️ Winning the WSOP $50K bracelet♠️ The Sam Soverel time bank drama♥️ How he moved into the super high roller world♦️ Playing $500K buy-ins♣️ Coaching high-stakes players♠️ Why he barely plays the WSOP Main Event anymore♥️ Why Phenom Poker got his attentionWe also get into:- chess- Brighton hippies- volunteering in Fiji- getting stuck in Madrid during COVID- Triton invite politics- why some $50Ks are not like other $50Ks- backing, swapping, and selling action- and what it feels like to play a half-million-dollar buy-in.This one is a poker story about shot-taking, timing, discipline, and somehow staying calm while playing tournaments most humans would need a spreadsheet just to emotionally process.

Gracie and Dr. Dominick D'Anna discuss and demonstrate Consciousness Exercise Stage 10 which is the experience that we are love and the highest level of consciousness of the Buddha or Jesus. Who am I and what gifts do I bring to the world? It's the experience of total gratitude and oneness with divine energy.If you have not read my book, “How To Be A 3% Man” yet, that would be a good starting place for you. It is available in Kindle, iBook, Paperback, Hardcover or Audio Book format. If you don't have a Kindle device, you can download a free eReader app from Amazon so you can read my book on any laptop, desktop, smartphone or tablet device. Kindle $9.99, iBook $9.99, Paperback $29.99 or Hardcover 49.99. Audio Book is Free $0.00 with an Audible membership trial or buy it for $19.95. Here is the link to Audible to get the audiobook version:http://bit.ly/CCW3ManHere is the link to Amazon to purchase Kindle, Paperback or Hardcover version:http://amzn.to/1XKRtxdHere is the link to the iBookstore to purchase iBook version:https://geo.itunes.apple.com/us/book/how-to-be-3-man-winning-heart/id948035350?mt=11&uo=6&at=1l3vuUoHere is the link to the iTunes store to purchase the iTunes audio book version:https://geo.itunes.apple.com/us/audiobook/how-to-be-a-3-man-unabridged/id1106013146?at=1l3vuUo&mt=3You can get my second book, “Mastering Yourself, How To Align Your Life With Your True Calling & Reach Your Full Potential” which is also available in Kindle $9,99, iBook $9.99, Paperback $49.99, Hardcover $99.99 and Audio Book format $24.95. Audio Book is Free $0.00 with an Audible membership trial. Here is the link to Audible to get the audiobook version:http://bit.ly/CCWMYHere is the link to Amazon to purchase Kindle, Paperback or Hardcover version:https://amzn.to/2TQV2XoHere is the link to the iBookstore to purchase iBook version:https://geo.itunes.apple.com/us/book/mastering-yourself-how-to-align-your-life-your-true/id1353139487?mt=11&at=1l3vuUoHere is the link to the iTunes store to purchase the iTunes audio book version:https://geo.itunes.apple.com/us/audiobook/mastering-yourself-how-to-align-your-life-your-true/id1353594955?mt=3&at=1l3vuUoYou can get my third book, “Quotes, Ruminations & Contemplations” which is also available in Kindle $9,99, iBook $9.99, Paperback $49.99, Hardcover $99.99 and Audio Book format $24.95. Audio Book is Free $0.00 with an Audible membership trial. Here is the link to Audible to get the audiobook version:https://www.audible.com/pd/B0941XDDCJ/?source_code=AUDFPWS0223189MWT-BK-ACX0-256995&ref=acx_bty_BK_ACX0_256995_rh_usHere is the link to Amazon to purchase Kindle, Paperback or Hardcover version:https://amzn.to/33K8VwFHere is the link to the iBookstore to purchase iBook version:https://books.apple.com/us/book/quotes-ruminations-contemplations/id1563102111?itsct=books_box_link&itscg=30200&ct=books_quotes%2C_ruminations_%26_contemplatio&ls=1Here is the link to the iTunes store to purchase the iTunes audio book version:https://books.apple.com/us/audiobook/quotes-ruminations-contemplations-volume-i-unabridged/id1567242372?itsct=books_box_link&itscg=30200&ct=audio-books_quotes%2C_ruminations_%26_contem&ls=1Here is the link to purchase Official Coach Corey Wayne branded merchandise (T-Shirts, Mugs, etc.):https://teespring.com/stores/coach-corey-wayneClick the link below to book phone/Skype (audio only) coaching with me personally:http://www.understandingrelationships.com/productsClick the link below to make a donation via PayPal to support my work:https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=LKGTSSLYJ93J6

Join this channel to get access to exclusive members only videos:youtube.com/channel/UCQTAVxA4dNBCoPdHhX9nnoQ/joinJoin Members Only On My Website. 7 day free trial. Save 25% when you choose an annual Membership plan. Cancel anytime:understandingrelationships.com/plansJoin Members Only on Spotify:podcasters.spotify.com/pod/show/coachcoreywayne/subscribeGracie and Dr. Dominick D'Anna discuss and demonstrate Consciousness Exercise Stage 11 which is about giving our gifts to the world and being open to receiving our gifts. Noticing that everything in life is happening for you, not to you.If you have not read my book, “How To Be A 3% Man” yet, that would be a good starting place for you. It is available in Kindle, iBook, Paperback, Hardcover or Audio Book format. If you don't have a Kindle device, you can download a free eReader app from Amazon so you can read my book on any laptop, desktop, smartphone or tablet device. Kindle $9.99, iBook $9.99, Paperback $29.99 or Hardcover 49.99. Audio Book is Free $0.00 with an Audible membership trial or buy it for $19.95. Here is the link to Audible to get the audiobook version:http://bit.ly/CCW3ManHere is the link to Amazon to purchase Kindle, Paperback or Hardcover version:http://amzn.to/1XKRtxdHere is the link to the iBookstore to purchase iBook version:https://geo.itunes.apple.com/us/book/how-to-be-3-man-winning-heart/id948035350?mt=11&uo=6&at=1l3vuUoHere is the link to the iTunes store to purchase the iTunes audio book version:https://geo.itunes.apple.com/us/audiobook/how-to-be-a-3-man-unabridged/id1106013146?at=1l3vuUo&mt=3You can get my second book, “Mastering Yourself, How To Align Your Life With Your True Calling & Reach Your Full Potential” which is also available in Kindle $9,99, iBook $9.99, Paperback $49.99, Hardcover $99.99 and Audio Book format $24.95. Audio Book is Free $0.00 with an Audible membership trial. Here is the link to Audible to get the audiobook version:http://bit.ly/CCWMYHere is the link to Amazon to purchase Kindle, Paperback or Hardcover version:https://amzn.to/2TQV2XoHere is the link to the iBookstore to purchase iBook version:https://geo.itunes.apple.com/us/book/mastering-yourself-how-to-align-your-life-your-true/id1353139487?mt=11&at=1l3vuUoHere is the link to the iTunes store to purchase the iTunes audio book version:https://geo.itunes.apple.com/us/audiobook/mastering-yourself-how-to-align-your-life-your-true/id1353594955?mt=3&at=1l3vuUoYou can get my third book, “Quotes, Ruminations & Contemplations” which is also available in Kindle $9,99, iBook $9.99, Paperback $49.99, Hardcover $99.99 and Audio Book format $24.95. Audio Book is Free $0.00 with an Audible membership trial. Here is the link to Audible to get the audiobook version:https://www.audible.com/pd/B0941XDDCJ/?source_code=AUDFPWS0223189MWT-BK-ACX0-256995&ref=acx_bty_BK_ACX0_256995_rh_usHere is the link to Amazon to purchase Kindle, Paperback or Hardcover version:https://amzn.to/33K8VwFHere is the link to the iBookstore to purchase iBook version:https://books.apple.com/us/book/quotes-ruminations-contemplations/id1563102111?itsct=books_box_link&itscg=30200&ct=books_quotes%2C_ruminations_%26_contemplatio&ls=1Here is the link to the iTunes store to purchase the iTunes audio book version:https://books.apple.com/us/audiobook/quotes-ruminations-contemplations-volume-i-unabridged/id1567242372?itsct=books_box_link&itscg=30200&ct=audio-books_quotes%2C_ruminations_%26_contem&ls=1Here is the link to purchase Official Coach Corey Wayne branded merchandise (T-Shirts, Mugs, etc.):https://teespring.com/stores/coach-corey-wayneClick the link below to book phone/Skype (audio only) coaching with me personally:http://www.understandingrelationships.com/productsClick the link below to make a donation via PayPal to support my work:https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=LKGTSSLYJ93J6

Join this channel to get access to exclusive members only videos:youtube.com/channel/UCQTAVxA4dNBCoPdHhX9nnoQ/joinJoin Members Only On My Website. 7 day free trial. Save 25% when you choose an annual Membership plan. Cancel anytime:understandingrelationships.com/plansJoin Members Only on Spotify:podcasters.spotify.com/pod/show/coachcoreywayne/subscribeGracie and Dr. Dominick D'Anna discuss and demonstrate the final Consciousness Exercise Stage 12 which is about oneness. It's feeling one with humanity and one with creation so we can experience the gift of life.If you have not read my book, “How To Be A 3% Man” yet, that would be a good starting place for you. It is available in Kindle, iBook, Paperback, Hardcover or Audio Book format. If you don't have a Kindle device, you can download a free eReader app from Amazon so you can read my book on any laptop, desktop, smartphone or tablet device. Kindle $9.99, iBook $9.99, Paperback $29.99 or Hardcover 49.99. Audio Book is Free $0.00 with an Audible membership trial or buy it for $19.95. Here is the link to Audible to get the audiobook version:http://bit.ly/CCW3ManHere is the link to Amazon to purchase Kindle, Paperback or Hardcover version:http://amzn.to/1XKRtxdHere is the link to the iBookstore to purchase iBook version:https://geo.itunes.apple.com/us/book/how-to-be-3-man-winning-heart/id948035350?mt=11&uo=6&at=1l3vuUoHere is the link to the iTunes store to purchase the iTunes audio book version:https://geo.itunes.apple.com/us/audiobook/how-to-be-a-3-man-unabridged/id1106013146?at=1l3vuUo&mt=3You can get my second book, “Mastering Yourself, How To Align Your Life With Your True Calling & Reach Your Full Potential” which is also available in Kindle $9,99, iBook $9.99, Paperback $49.99, Hardcover $99.99 and Audio Book format $24.95. Audio Book is Free $0.00 with an Audible membership trial. Here is the link to Audible to get the audiobook version:http://bit.ly/CCWMYHere is the link to Amazon to purchase Kindle, Paperback or Hardcover version:https://amzn.to/2TQV2XoHere is the link to the iBookstore to purchase iBook version:https://geo.itunes.apple.com/us/book/mastering-yourself-how-to-align-your-life-your-true/id1353139487?mt=11&at=1l3vuUoHere is the link to the iTunes store to purchase the iTunes audio book version:https://geo.itunes.apple.com/us/audiobook/mastering-yourself-how-to-align-your-life-your-true/id1353594955?mt=3&at=1l3vuUoYou can get my third book, “Quotes, Ruminations & Contemplations” which is also available in Kindle $9,99, iBook $9.99, Paperback $49.99, Hardcover $99.99 and Audio Book format $24.95. Audio Book is Free $0.00 with an Audible membership trial. Here is the link to Audible to get the audiobook version:https://www.audible.com/pd/B0941XDDCJ/?source_code=AUDFPWS0223189MWT-BK-ACX0-256995&ref=acx_bty_BK_ACX0_256995_rh_usHere is the link to Amazon to purchase Kindle, Paperback or Hardcover version:https://amzn.to/33K8VwFHere is the link to the iBookstore to purchase iBook version:https://books.apple.com/us/book/quotes-ruminations-contemplations/id1563102111?itsct=books_box_link&itscg=30200&ct=books_quotes%2C_ruminations_%26_contemplatio&ls=1Here is the link to the iTunes store to purchase the iTunes audio book version:https://books.apple.com/us/audiobook/quotes-ruminations-contemplations-volume-i-unabridged/id1567242372?itsct=books_box_link&itscg=30200&ct=audio-books_quotes%2C_ruminations_%26_contem&ls=1Here is the link to purchase Official Coach Corey Wayne branded merchandise (T-Shirts, Mugs, etc.):https://teespring.com/stores/coach-corey-wayneClick the link below to book phone/Skype (audio only) coaching with me personally:http://www.understandingrelationships.com/productsClick the link below to make a donation via PayPal to support my work:https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=LKGTSSLYJ93J6

This week, Ed Halliwell guides us through a practice to be with the inevitable moment-to-moment uncertainty of life. We can't control what's happening around us, but we can practice letting go of the stories we create about uncertainty that add unnecessary stress and pain.  Ed Halliwell is a mindfulness teacher and writer, based in Sussex and London, UK. He is author of three books: Into The Heart of Mindfulness, How To Live Well By Paying Attention and (as co-author)The Mindful Manifesto and teaches courses and retreats to public groups, in organizations and to individuals, face-to-face and online via Skype. He is also an advisor to The Mindfulness Initiative, which is supporting the Mindfulness All-Party Parliamentary Group to develop mindfulness-based policies for the UK. The transcription of this guided meditation will be online and in our app at Mindful.org next week.  Stay curious, stay inspired. Sign up for our free newsletter mindful.org/signup or download the app for free at mindful.org/app.  Show Notes Find more from Ed Halliwell here. Go Deeper Learning that our thoughts and feelings are not "us"—meaning, they aren't our whole identity, but rather are part of a fluid experience that comes and goes—is a core element of mindfulness practice.  This does not mean that our thoughts or feelings don't matter, or that we need to fix or control them; it only means that we can have more freedom when we don't get too attached or mistake a moment or a season for who we are. For more support learning how to work with uncertainty, thoughts, and feelings, start with these resources from Mindful.org: Why Uncertainty Is Good for Us Seven Strengths for an Uncertain World  You Can Investigate Your Emotions Without Suppressing Them  Halting the Spiral: Navigating Repetitive Thought Patterns  For more practice noticing the temporary nature of thoughts and emotions, try: A Basic Mindfulness Meditation for Labeling Thoughts and Emotions  And more from Mindful here: More episodes of 12 Minute Meditation Let us know what you thought of this episode of 12 Minute Meditation by leaving a review or by emailing yourwords@mindful.org.

Gracie and Dr. Dominick D'Anna discuss and demonstrate consciousness exercise stage 3 which is realizing for the first time that you are stuck in a perspective and it's time to change that perspective so you can change your approach and move on so you can get unstuck. If you have not read my book, “How To Be A 3% Man” yet, that would be a good starting place for you. It is available in Kindle, iBook, Paperback, Hardcover or Audio Book format. If you don't have a Kindle device, you can download a free eReader app from Amazon so you can read my book on any laptop, desktop, smartphone or tablet device. Kindle $9.99, iBook $9.99, Paperback $29.99 or Hardcover 49.99. Audio Book is Free $0.00 with an Audible membership trial or buy it for $19.95. Here is the link to Audible to get the audiobook version:http://bit.ly/CCW3ManHere is the link to Amazon to purchase Kindle, Paperback or Hardcover version:http://amzn.to/1XKRtxdHere is the link to the iBookstore to purchase iBook version:https://geo.itunes.apple.com/us/book/how-to-be-3-man-winning-heart/id948035350?mt=11&uo=6&at=1l3vuUoHere is the link to the iTunes store to purchase the iTunes audio book version:https://geo.itunes.apple.com/us/audiobook/how-to-be-a-3-man-unabridged/id1106013146?at=1l3vuUo&mt=3You can get my second book, “Mastering Yourself, How To Align Your Life With Your True Calling & Reach Your Full Potential” which is also available in Kindle $9,99, iBook $9.99, Paperback $49.99, Hardcover $99.99 and Audio Book format $24.95. Audio Book is Free $0.00 with an Audible membership trial. Here is the link to Audible to get the audiobook version:http://bit.ly/CCWMYHere is the link to Amazon to purchase Kindle, Paperback or Hardcover version:https://amzn.to/2TQV2XoHere is the link to the iBookstore to purchase iBook version:https://geo.itunes.apple.com/us/book/mastering-yourself-how-to-align-your-life-your-true/id1353139487?mt=11&at=1l3vuUoHere is the link to the iTunes store to purchase the iTunes audio book version:https://geo.itunes.apple.com/us/audiobook/mastering-yourself-how-to-align-your-life-your-true/id1353594955?mt=3&at=1l3vuUoYou can get my third book, “Quotes, Ruminations & Contemplations” which is also available in Kindle $9,99, iBook $9.99, Paperback $49.99, Hardcover $99.99 and Audio Book format $24.95. Audio Book is Free $0.00 with an Audible membership trial. Here is the link to Audible to get the audiobook version:https://www.audible.com/pd/B0941XDDCJ/?source_code=AUDFPWS0223189MWT-BK-ACX0-256995&ref=acx_bty_BK_ACX0_256995_rh_usHere is the link to Amazon to purchase Kindle, Paperback or Hardcover version:https://amzn.to/33K8VwFHere is the link to the iBookstore to purchase iBook version:https://books.apple.com/us/book/quotes-ruminations-contemplations/id1563102111?itsct=books_box_link&itscg=30200&ct=books_quotes%2C_ruminations_%26_contemplatio&ls=1Here is the link to the iTunes store to purchase the iTunes audio book version:https://books.apple.com/us/audiobook/quotes-ruminations-contemplations-volume-i-unabridged/id1567242372?itsct=books_box_link&itscg=30200&ct=audio-books_quotes%2C_ruminations_%26_contem&ls=1Here is the link to purchase Official Coach Corey Wayne branded merchandise (T-Shirts, Mugs, etc.):https://teespring.com/stores/coach-corey-wayneClick the link below to book phone/Skype (audio only) coaching with me personally:http://www.understandingrelationships.com/productsClick the link below to make a donation via PayPal to support my work:https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=LKGTSSLYJ93J6

Join this channel to get access to exclusive members only videos:youtube.com/channel/UCQTAVxA4dNBCoPdHhX9nnoQ/joinJoin Members Only On My Website. 7 day free trial. Save 25% when you choose an annual Membership plan. Cancel anytime:understandingrelationships.com/plansJoin Members Only on Spotify:podcasters.spotify.com/pod/show/coachcoreywayne/subscribeGracie and Dr. Dominick D'Anna discuss and demonstrate Consciousness Exercise Stage 9 which is experiencing total gratitude and total unconditional love from outside.If you have not read my book, “How To Be A 3% Man” yet, that would be a good starting place for you. It is available in Kindle, iBook, Paperback, Hardcover or Audio Book format. If you don't have a Kindle device, you can download a free eReader app from Amazon so you can read my book on any laptop, desktop, smartphone or tablet device. Kindle $9.99, iBook $9.99, Paperback $29.99 or Hardcover 49.99. Audio Book is Free $0.00 with an Audible membership trial or buy it for $19.95. Here is the link to Audible to get the audiobook version:http://bit.ly/CCW3ManHere is the link to Amazon to purchase Kindle, Paperback or Hardcover version:http://amzn.to/1XKRtxdHere is the link to the iBookstore to purchase iBook version:https://geo.itunes.apple.com/us/book/how-to-be-3-man-winning-heart/id948035350?mt=11&uo=6&at=1l3vuUoHere is the link to the iTunes store to purchase the iTunes audio book version:https://geo.itunes.apple.com/us/audiobook/how-to-be-a-3-man-unabridged/id1106013146?at=1l3vuUo&mt=3You can get my second book, “Mastering Yourself, How To Align Your Life With Your True Calling & Reach Your Full Potential” which is also available in Kindle $9,99, iBook $9.99, Paperback $49.99, Hardcover $99.99 and Audio Book format $24.95. Audio Book is Free $0.00 with an Audible membership trial. Here is the link to Audible to get the audiobook version:http://bit.ly/CCWMYHere is the link to Amazon to purchase Kindle, Paperback or Hardcover version:https://amzn.to/2TQV2XoHere is the link to the iBookstore to purchase iBook version:https://geo.itunes.apple.com/us/book/mastering-yourself-how-to-align-your-life-your-true/id1353139487?mt=11&at=1l3vuUoHere is the link to the iTunes store to purchase the iTunes audio book version:https://geo.itunes.apple.com/us/audiobook/mastering-yourself-how-to-align-your-life-your-true/id1353594955?mt=3&at=1l3vuUoYou can get my third book, “Quotes, Ruminations & Contemplations” which is also available in Kindle $9,99, iBook $9.99, Paperback $49.99, Hardcover $99.99 and Audio Book format $24.95. Audio Book is Free $0.00 with an Audible membership trial. Here is the link to Audible to get the audiobook version:https://www.audible.com/pd/B0941XDDCJ/?source_code=AUDFPWS0223189MWT-BK-ACX0-256995&ref=acx_bty_BK_ACX0_256995_rh_usHere is the link to Amazon to purchase Kindle, Paperback or Hardcover version:https://amzn.to/33K8VwFHere is the link to the iBookstore to purchase iBook version:https://books.apple.com/us/book/quotes-ruminations-contemplations/id1563102111?itsct=books_box_link&itscg=30200&ct=books_quotes%2C_ruminations_%26_contemplatio&ls=1Here is the link to the iTunes store to purchase the iTunes audiobook version:https://books.apple.com/us/audiobook/quotes-ruminations-contemplations-volume-i-unabridged/id1567242372?itsct=books_box_link&itscg=30200&ct=audio-books_quotes%2C_ruminations_%26_contem&ls=1Here is the link to purchase Official Coach Corey Wayne branded merchandise (T-Shirts, Mugs, etc.):https://teespring.com/stores/coach-corey-wayneClick the link below to book phone/Skype (audio only) coaching with me personally:http://www.understandingrelationships.com/productsClick the link below to make a donation via PayPal to support my work:https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=LKGTSSLYJ93J6

Gracie and Dr. Dominick D'Anna discuss and demonstrate Consciousness Exercise Stage 8 which is about moving beyond the mind and no longer being controlled by your thoughts so you can access the consciousness of your soul. If you have not read my book, “How To Be A 3% Man” yet, that would be a good starting place for you. It is available in Kindle, iBook, Paperback, Hardcover or Audio Book format. If you don't have a Kindle device, you can download a free eReader app from Amazon so you can read my book on any laptop, desktop, smartphone or tablet device. Kindle $9.99, iBook $9.99, Paperback $29.99 or Hardcover 49.99. Audio Book is Free $0.00 with an Audible membership trial or buy it for $19.95. Here is the link to Audible to get the audiobook version:http://bit.ly/CCW3ManHere is the link to Amazon to purchase Kindle, Paperback or Hardcover version:http://amzn.to/1XKRtxdHere is the link to the iBookstore to purchase iBook version:https://geo.itunes.apple.com/us/book/how-to-be-3-man-winning-heart/id948035350?mt=11&uo=6&at=1l3vuUoHere is the link to the iTunes store to purchase the iTunes audio book version:https://geo.itunes.apple.com/us/audiobook/how-to-be-a-3-man-unabridged/id1106013146?at=1l3vuUo&mt=3You can get my second book, “Mastering Yourself, How To Align Your Life With Your True Calling & Reach Your Full Potential” which is also available in Kindle $9,99, iBook $9.99, Paperback $49.99, Hardcover $99.99 and Audio Book format $24.95. Audio Book is Free $0.00 with an Audible membership trial. Here is the link to Audible to get the audiobook version:http://bit.ly/CCWMYHere is the link to Amazon to purchase Kindle, Paperback or Hardcover version:https://amzn.to/2TQV2XoHere is the link to the iBookstore to purchase iBook version:https://geo.itunes.apple.com/us/book/mastering-yourself-how-to-align-your-life-your-true/id1353139487?mt=11&at=1l3vuUoHere is the link to the iTunes store to purchase the iTunes audio book version:https://geo.itunes.apple.com/us/audiobook/mastering-yourself-how-to-align-your-life-your-true/id1353594955?mt=3&at=1l3vuUoYou can get my third book, “Quotes, Ruminations & Contemplations” which is also available in Kindle $9,99, iBook $9.99, Paperback $49.99, Hardcover $99.99 and Audio Book format $24.95. Audio Book is Free $0.00 with an Audible membership trial. Here is the link to Audible to get the audiobook version:https://www.audible.com/pd/B0941XDDCJ/?source_code=AUDFPWS0223189MWT-BK-ACX0-256995&ref=acx_bty_BK_ACX0_256995_rh_usHere is the link to Amazon to purchase Kindle, Paperback or Hardcover version:https://amzn.to/33K8VwFHere is the link to the iBookstore to purchase iBook version:https://books.apple.com/us/book/quotes-ruminations-contemplations/id1563102111?itsct=books_box_link&itscg=30200&ct=books_quotes%2C_ruminations_%26_contemplatio&ls=1Here is the link to the iTunes store to purchase the iTunes audio book version:https://books.apple.com/us/audiobook/quotes-ruminations-contemplations-volume-i-unabridged/id1567242372?itsct=books_box_link&itscg=30200&ct=audio-books_quotes%2C_ruminations_%26_contem&ls=1Here is the link to purchase Official Coach Corey Wayne branded merchandise (T-Shirts, Mugs, etc.):https://teespring.com/stores/coach-corey-wayneClick the link below to book phone/Skype (audio only) coaching with me personally:http://www.understandingrelationships.com/productsClick the link below to make a donation via PayPal to support my work:https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=LKGTSSLYJ93J6

Gracie and Dr. Dominick D'Anna discuss and demonstrate consciousness exercise stage 7 which is all about resolving everything that no longer serves you. The liming beliefs, the habits, the behaviors, etc. Getting congruent with who you really are.If you have not read my book, “How To Be A 3% Man” yet, that would be a good starting place for you. It is available in Kindle, iBook, Paperback, Hardcover or Audio Book format. If you don't have a Kindle device, you can download a free eReader app from Amazon so you can read my book on any laptop, desktop, smartphone or tablet device. Kindle $9.99, iBook $9.99, Paperback $29.99 or Hardcover 49.99. Audio Book is Free $0.00 with an Audible membership trial or buy it for $19.95. Here is the link to Audible to get the audiobook version:http://bit.ly/CCW3ManHere is the link to Amazon to purchase Kindle, Paperback or Hardcover version:http://amzn.to/1XKRtxdHere is the link to the iBookstore to purchase iBook version:https://geo.itunes.apple.com/us/book/how-to-be-3-man-winning-heart/id948035350?mt=11&uo=6&at=1l3vuUoHere is the link to the iTunes store to purchase the iTunes audio book version:https://geo.itunes.apple.com/us/audiobook/how-to-be-a-3-man-unabridged/id1106013146?at=1l3vuUo&mt=3You can get my second book, “Mastering Yourself, How To Align Your Life With Your True Calling & Reach Your Full Potential” which is also available in Kindle $9,99, iBook $9.99, Paperback $49.99, Hardcover $99.99 and Audio Book format $24.95. Audio Book is Free $0.00 with an Audible membership trial. Here is the link to Audible to get the audiobook version:http://bit.ly/CCWMYHere is the link to Amazon to purchase Kindle, Paperback or Hardcover version:https://amzn.to/2TQV2XoHere is the link to the iBookstore to purchase iBook version:https://geo.itunes.apple.com/us/book/mastering-yourself-how-to-align-your-life-your-true/id1353139487?mt=11&at=1l3vuUoHere is the link to the iTunes store to purchase the iTunes audio book version:https://geo.itunes.apple.com/us/audiobook/mastering-yourself-how-to-align-your-life-your-true/id1353594955?mt=3&at=1l3vuUoYou can get my third book, “Quotes, Ruminations & Contemplations” which is also available in Kindle $9,99, iBook $9.99, Paperback $49.99, Hardcover $99.99 and Audio Book format $24.95. Audio Book is Free $0.00 with an Audible membership trial. Here is the link to Audible to get the audiobook version:https://www.audible.com/pd/B0941XDDCJ/?source_code=AUDFPWS0223189MWT-BK-ACX0-256995&ref=acx_bty_BK_ACX0_256995_rh_usHere is the link to Amazon to purchase Kindle, Paperback or Hardcover version:https://amzn.to/33K8VwFHere is the link to the iBookstore to purchase iBook version:https://books.apple.com/us/book/quotes-ruminations-contemplations/id1563102111?itsct=books_box_link&itscg=30200&ct=books_quotes%2C_ruminations_%26_contemplatio&ls=1Here is the link to the iTunes store to purchase the iTunes audio book version:https://books.apple.com/us/audiobook/quotes-ruminations-contemplations-volume-i-unabridged/id1567242372?itsct=books_box_link&itscg=30200&ct=audio-books_quotes%2C_ruminations_%26_contem&ls=1Here is the link to purchase Official Coach Corey Wayne branded merchandise (T-Shirts, Mugs, etc.):https://teespring.com/stores/coach-corey-wayneClick the link below to book phone/Skype (audio only) coaching with me personally:http://www.understandingrelationships.com/productsClick the link below to make a donation via PayPal to support my work:https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=LKGTSSLYJ93J6

Gracie and Dr. Dominick D'Anna discuss and demonstrate consciousness exercise stage 6 which is expanding who you are and your capacity to resolve that which no longer serves you.If you have not read my book, “How To Be A 3% Man” yet, that would be a good starting place for you. It is available in Kindle, iBook, Paperback, Hardcover or Audio Book format. If you don't have a Kindle device, you can download a free eReader app from Amazon so you can read my book on any laptop, desktop, smartphone or tablet device. Kindle $9.99, iBook $9.99, Paperback $29.99 or Hardcover 49.99. Audio Book is Free $0.00 with an Audible membership trial or buy it for $19.95. Here is the link to Audible to get the audiobook version:http://bit.ly/CCW3ManHere is the link to Amazon to purchase Kindle, Paperback or Hardcover version:http://amzn.to/1XKRtxdHere is the link to the iBookstore to purchase iBook version:https://geo.itunes.apple.com/us/book/how-to-be-3-man-winning-heart/id948035350?mt=11&uo=6&at=1l3vuUoHere is the link to the iTunes store to purchase the iTunes audio book version:https://geo.itunes.apple.com/us/audiobook/how-to-be-a-3-man-unabridged/id1106013146?at=1l3vuUo&mt=3You can get my second book, “Mastering Yourself, How To Align Your Life With Your True Calling & Reach Your Full Potential” which is also available in Kindle $9,99, iBook $9.99, Paperback $49.99, Hardcover $99.99 and Audio Book format $24.95. Audio Book is Free $0.00 with an Audible membership trial. Here is the link to Audible to get the audiobook version:http://bit.ly/CCWMYHere is the link to Amazon to purchase Kindle, Paperback or Hardcover version:https://amzn.to/2TQV2XoHere is the link to the iBookstore to purchase iBook version:https://geo.itunes.apple.com/us/book/mastering-yourself-how-to-align-your-life-your-true/id1353139487?mt=11&at=1l3vuUoHere is the link to the iTunes store to purchase the iTunes audio book version:https://geo.itunes.apple.com/us/audiobook/mastering-yourself-how-to-align-your-life-your-true/id1353594955?mt=3&at=1l3vuUoYou can get my third book, “Quotes, Ruminations & Contemplations” which is also available in Kindle $9,99, iBook $9.99, Paperback $49.99, Hardcover $99.99 and Audio Book format $24.95. Audio Book is Free $0.00 with an Audible membership trial. Here is the link to Audible to get the audiobook version:https://www.audible.com/pd/B0941XDDCJ/?source_code=AUDFPWS0223189MWT-BK-ACX0-256995&ref=acx_bty_BK_ACX0_256995_rh_usHere is the link to Amazon to purchase Kindle, Paperback or Hardcover version:https://amzn.to/33K8VwFHere is the link to the iBookstore to purchase iBook version:https://books.apple.com/us/book/quotes-ruminations-contemplations/id1563102111?itsct=books_box_link&itscg=30200&ct=books_quotes%2C_ruminations_%26_contemplatio&ls=1Here is the link to the iTunes store to purchase the iTunes audio book version:https://books.apple.com/us/audiobook/quotes-ruminations-contemplations-volume-i-unabridged/id1567242372?itsct=books_box_link&itscg=30200&ct=audio-books_quotes%2C_ruminations_%26_contem&ls=1Here is the link to purchase Official Coach Corey Wayne branded merchandise (T-Shirts, Mugs, etc.):https://teespring.com/stores/coach-corey-wayneClick the link below to book phone/Skype (audio only) coaching with me personally:http://www.understandingrelationships.com/productsClick the link below to make a donation via PayPal to support my work:https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=LKGTSSLYJ93J6

Gracie and Dr. Dominick D'Anna discuss and demonstrate consciousness exercise stage 5 which helps you to have multiple perspectives and see things from multiple angles instead of being limited to only perspectives that keep you stuck and unable to move forward. If you have not read my book, “How To Be A 3% Man” yet, that would be a good starting place for you. It is available in Kindle, iBook, Paperback, Hardcover or Audio Book format. If you don't have a Kindle device, you can download a free eReader app from Amazon so you can read my book on any laptop, desktop, smartphone or tablet device. Kindle $9.99, iBook $9.99, Paperback $29.99 or Hardcover 49.99. Audio Book is Free $0.00 with an Audible membership trial or buy it for $19.95. Here is the link to Audible to get the audiobook version:http://bit.ly/CCW3ManHere is the link to Amazon to purchase Kindle, Paperback or Hardcover version:http://amzn.to/1XKRtxdHere is the link to the iBookstore to purchase iBook version:https://geo.itunes.apple.com/us/book/how-to-be-3-man-winning-heart/id948035350?mt=11&uo=6&at=1l3vuUoHere is the link to the iTunes store to purchase the iTunes audio book version:https://geo.itunes.apple.com/us/audiobook/how-to-be-a-3-man-unabridged/id1106013146?at=1l3vuUo&mt=3You can get my second book, “Mastering Yourself, How To Align Your Life With Your True Calling & Reach Your Full Potential” which is also available in Kindle $9,99, iBook $9.99, Paperback $49.99, Hardcover $99.99 and Audio Book format $24.95. Audio Book is Free $0.00 with an Audible membership trial. Here is the link to Audible to get the audiobook version:http://bit.ly/CCWMYHere is the link to Amazon to purchase Kindle, Paperback or Hardcover version:https://amzn.to/2TQV2XoHere is the link to the iBookstore to purchase iBook version:https://geo.itunes.apple.com/us/book/mastering-yourself-how-to-align-your-life-your-true/id1353139487?mt=11&at=1l3vuUoHere is the link to the iTunes store to purchase the iTunes audio book version:https://geo.itunes.apple.com/us/audiobook/mastering-yourself-how-to-align-your-life-your-true/id1353594955?mt=3&at=1l3vuUoYou can get my third book, “Quotes, Ruminations & Contemplations” which is also available in Kindle $9,99, iBook $9.99, Paperback $49.99, Hardcover $99.99 and Audio Book format $24.95. Audio Book is Free $0.00 with an Audible membership trial. Here is the link to Audible to get the audiobook version:https://www.audible.com/pd/B0941XDDCJ/?source_code=AUDFPWS0223189MWT-BK-ACX0-256995&ref=acx_bty_BK_ACX0_256995_rh_usHere is the link to Amazon to purchase Kindle, Paperback or Hardcover version:https://amzn.to/33K8VwFHere is the link to the iBookstore to purchase iBook version:https://books.apple.com/us/book/quotes-ruminations-contemplations/id1563102111?itsct=books_box_link&itscg=30200&ct=books_quotes%2C_ruminations_%26_contemplatio&ls=1Here is the link to the iTunes store to purchase the iTunes audio book version:https://books.apple.com/us/audiobook/quotes-ruminations-contemplations-volume-i-unabridged/id1567242372?itsct=books_box_link&itscg=30200&ct=audio-books_quotes%2C_ruminations_%26_contem&ls=1Here is the link to purchase Official Coach Corey Wayne branded merchandise (T-Shirts, Mugs, etc.):https://teespring.com/stores/coach-corey-wayneClick the link below to book phone/Skype (audio only) coaching with me personally:http://www.understandingrelationships.com/productsClick the link below to make a donation via PayPal to support my work:https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=LKGTSSLYJ93J6

Gracie and Dr. Dominick D'Anna discuss and demonstrate consciousness exercise stage 4 which is drawing a line in the sand and demanding more from yourself and is a baseline of masculine energy and taking total responsibility for everything that is going on in your life. Setting and enforcing healthy boundaries and being in your power.If you have not read my book, “How To Be A 3% Man” yet, that would be a good starting place for you. It is available in Kindle, iBook, Paperback, Hardcover or Audio Book format. If you don't have a Kindle device, you can download a free eReader app from Amazon so you can read my book on any laptop, desktop, smartphone or tablet device. Kindle $9.99, iBook $9.99, Paperback $29.99 or Hardcover 49.99. Audio Book is Free $0.00 with an Audible membership trial or buy it for $19.95. Here is the link to Audible to get the audiobook version:http://bit.ly/CCW3ManHere is the link to Amazon to purchase Kindle, Paperback or Hardcover version:http://amzn.to/1XKRtxdHere is the link to the iBookstore to purchase iBook version:https://geo.itunes.apple.com/us/book/how-to-be-3-man-winning-heart/id948035350?mt=11&uo=6&at=1l3vuUoHere is the link to the iTunes store to purchase the iTunes audio book version:https://geo.itunes.apple.com/us/audiobook/how-to-be-a-3-man-unabridged/id1106013146?at=1l3vuUo&mt=3You can get my second book, “Mastering Yourself, How To Align Your Life With Your True Calling & Reach Your Full Potential” which is also available in Kindle $9,99, iBook $9.99, Paperback $49.99, Hardcover $99.99 and Audio Book format $24.95. Audio Book is Free $0.00 with an Audible membership trial. Here is the link to Audible to get the audiobook version:http://bit.ly/CCWMYHere is the link to Amazon to purchase Kindle, Paperback or Hardcover version:https://amzn.to/2TQV2XoHere is the link to the iBookstore to purchase iBook version:https://geo.itunes.apple.com/us/book/mastering-yourself-how-to-align-your-life-your-true/id1353139487?mt=11&at=1l3vuUoHere is the link to the iTunes store to purchase the iTunes audio book version:https://geo.itunes.apple.com/us/audiobook/mastering-yourself-how-to-align-your-life-your-true/id1353594955?mt=3&at=1l3vuUoYou can get my third book, “Quotes, Ruminations & Contemplations” which is also available in Kindle $9,99, iBook $9.99, Paperback $49.99, Hardcover $99.99 and Audio Book format $24.95. Audio Book is Free $0.00 with an Audible membership trial. Here is the link to Audible to get the audiobook version:https://www.audible.com/pd/B0941XDDCJ/?source_code=AUDFPWS0223189MWT-BK-ACX0-256995&ref=acx_bty_BK_ACX0_256995_rh_usHere is the link to Amazon to purchase Kindle, Paperback or Hardcover version:https://amzn.to/33K8VwFHere is the link to the iBookstore to purchase iBook version:https://books.apple.com/us/book/quotes-ruminations-contemplations/id1563102111?itsct=books_box_link&itscg=30200&ct=books_quotes%2C_ruminations_%26_contemplatio&ls=1Here is the link to the iTunes store to purchase the iTunes audio book version:https://books.apple.com/us/audiobook/quotes-ruminations-contemplations-volume-i-unabridged/id1567242372?itsct=books_box_link&itscg=30200&ct=audio-books_quotes%2C_ruminations_%26_contem&ls=1Here is the link to purchase Official Coach Corey Wayne branded merchandise (T-Shirts, Mugs, etc.):https://teespring.com/stores/coach-corey-wayneClick the link below to book phone/Skype (audio only) coaching with me personally:http://www.understandingrelationships.com/productsClick the link below to make a donation via PayPal to support my work:https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=LKGTSSLYJ93J6

Gracie and Dr. Dominick D'Anna discuss and demonstrate consciousness exercise stage 1 which is the experience of suffering and how resisting it makes it persist. The avoidance of suffering is the cause of all suffering. Anything that you experience fully, loses its grip on you.If you have not read my book, “How To Be A 3% Man” yet, that would be a good starting place for you. It is available in Kindle, iBook, Paperback, Hardcover or Audio Book format. If you don't have a Kindle device, you can download a free eReader app from Amazon so you can read my book on any laptop, desktop, smartphone or tablet device. Kindle $9.99, iBook $9.99, Paperback $29.99 or Hardcover 49.99. Audio Book is Free $0.00 with an Audible membership trial or buy it for $19.95. Here is the link to Audible to get the audiobook version:http://bit.ly/CCW3ManHere is the link to Amazon to purchase Kindle, Paperback or Hardcover version:http://amzn.to/1XKRtxdHere is the link to the iBookstore to purchase iBook version:https://geo.itunes.apple.com/us/book/how-to-be-3-man-winning-heart/id948035350?mt=11&uo=6&at=1l3vuUoHere is the link to the iTunes store to purchase the iTunes audio book version:https://geo.itunes.apple.com/us/audiobook/how-to-be-a-3-man-unabridged/id1106013146?at=1l3vuUo&mt=3You can get my second book, “Mastering Yourself, How To Align Your Life With Your True Calling & Reach Your Full Potential” which is also available in Kindle $9,99, iBook $9.99, Paperback $49.99, Hardcover $99.99 and Audio Book format $24.95. Audio Book is Free $0.00 with an Audible membership trial. Here is the link to Audible to get the audiobook version:http://bit.ly/CCWMYHere is the link to Amazon to purchase Kindle, Paperback or Hardcover version:https://amzn.to/2TQV2XoHere is the link to the iBookstore to purchase iBook version:https://geo.itunes.apple.com/us/book/mastering-yourself-how-to-align-your-life-your-true/id1353139487?mt=11&at=1l3vuUoHere is the link to the iTunes store to purchase the iTunes audio book version:https://geo.itunes.apple.com/us/audiobook/mastering-yourself-how-to-align-your-life-your-true/id1353594955?mt=3&at=1l3vuUoYou can get my third book, “Quotes, Ruminations & Contemplations” which is also available in Kindle $9,99, iBook $9.99, Paperback $49.99, Hardcover $99.99 and Audio Book format $24.95. Audio Book is Free $0.00 with an Audible membership trial. Here is the link to Audible to get the audiobook version:https://www.audible.com/pd/B0941XDDCJ/?source_code=AUDFPWS0223189MWT-BK-ACX0-256995&ref=acx_bty_BK_ACX0_256995_rh_usHere is the link to Amazon to purchase Kindle, Paperback or Hardcover version:https://amzn.to/33K8VwFHere is the link to the iBookstore to purchase iBook version:https://books.apple.com/us/book/quotes-ruminations-contemplations/id1563102111?itsct=books_box_link&itscg=30200&ct=books_quotes%2C_ruminations_%26_contemplatio&ls=1Here is the link to the iTunes store to purchase the iTunes audio book version:https://books.apple.com/us/audiobook/quotes-ruminations-contemplations-volume-i-unabridged/id1567242372?itsct=books_box_link&itscg=30200&ct=audio-books_quotes%2C_ruminations_%26_contem&ls=1Here is the link to purchase Official Coach Corey Wayne branded merchandise (T-Shirts, Mugs, etc.):https://teespring.com/stores/coach-corey-wayneClick the link below to book phone/Skype (audio only) coaching with me personally:http://www.understandingrelationships.com/productsClick the link below to make a donation via PayPal to support my work:https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=LKGTSSLYJ93J6

Gracie and Dr. Dominick D'Anna discuss and demonstrate consciousness exercise stage 2 which is the experience of polarity and separateness. It's not me, it's you. It's not my fault, it's your fault. It's the blame and shame game.If you have not read my book, “How To Be A 3% Man” yet, that would be a good starting place for you. It is available in Kindle, iBook, Paperback, Hardcover or Audio Book format. If you don't have a Kindle device, you can download a free eReader app from Amazon so you can read my book on any laptop, desktop, smartphone or tablet device. Kindle $9.99, iBook $9.99, Paperback $29.99 or Hardcover 49.99. Audio Book is Free $0.00 with an Audible membership trial or buy it for $19.95. Here is the link to Audible to get the audiobook version:http://bit.ly/CCW3ManHere is the link to Amazon to purchase Kindle, Paperback or Hardcover version:http://amzn.to/1XKRtxdHere is the link to the iBookstore to purchase iBook version:https://geo.itunes.apple.com/us/book/how-to-be-3-man-winning-heart/id948035350?mt=11&uo=6&at=1l3vuUoHere is the link to the iTunes store to purchase the iTunes audio book version:https://geo.itunes.apple.com/us/audiobook/how-to-be-a-3-man-unabridged/id1106013146?at=1l3vuUo&mt=3You can get my second book, “Mastering Yourself, How To Align Your Life With Your True Calling & Reach Your Full Potential” which is also available in Kindle $9,99, iBook $9.99, Paperback $49.99, Hardcover $99.99 and Audio Book format $24.95. Audio Book is Free $0.00 with an Audible membership trial. Here is the link to Audible to get the audiobook version:http://bit.ly/CCWMYHere is the link to Amazon to purchase Kindle, Paperback or Hardcover version:https://amzn.to/2TQV2XoHere is the link to the iBookstore to purchase iBook version:https://geo.itunes.apple.com/us/book/mastering-yourself-how-to-align-your-life-your-true/id1353139487?mt=11&at=1l3vuUoHere is the link to the iTunes store to purchase the iTunes audio book version:https://geo.itunes.apple.com/us/audiobook/mastering-yourself-how-to-align-your-life-your-true/id1353594955?mt=3&at=1l3vuUoYou can get my third book, “Quotes, Ruminations & Contemplations” which is also available in Kindle $9,99, iBook $9.99, Paperback $49.99, Hardcover $99.99 and Audio Book format $24.95. Audio Book is Free $0.00 with an Audible membership trial. Here is the link to Audible to get the audiobook version:https://www.audible.com/pd/B0941XDDCJ/?source_code=AUDFPWS0223189MWT-BK-ACX0-256995&ref=acx_bty_BK_ACX0_256995_rh_usHere is the link to Amazon to purchase Kindle, Paperback or Hardcover version:https://amzn.to/33K8VwFHere is the link to the iBookstore to purchase iBook version:https://books.apple.com/us/book/quotes-ruminations-contemplations/id1563102111?itsct=books_box_link&itscg=30200&ct=books_quotes%2C_ruminations_%26_contemplatio&ls=1Here is the link to the iTunes store to purchase the iTunes audio book version:https://books.apple.com/us/audiobook/quotes-ruminations-contemplations-volume-i-unabridged/id1567242372?itsct=books_box_link&itscg=30200&ct=audio-books_quotes%2C_ruminations_%26_contem&ls=1Here is the link to purchase Official Coach Corey Wayne branded merchandise (T-Shirts, Mugs, etc.):https://teespring.com/stores/coach-corey-wayneClick the link below to book phone/Skype (audio only) coaching with me personally:http://www.understandingrelationships.com/productsClick the link below to make a donation via PayPal to support my work:https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=LKGTSSLYJ93J6

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For educational purposes only It's time to get superior results with us! Support your health & wellness journey with #Titan! Feel Better, Look Better & Perform Better with TitanMedical Center! HormoneOptimization #Health #Wellness #TitanMedicalCenter

Send us Fan MailIn S2E38, we start with a creepy Skype story from Ian's time in Korea before getting into Robby sleeping thirteen and a half hours, waking up sore but mentally refreshed, and somehow turning that into a theory about humans tossing and turning for survival. From there, we talk Fortnite mobile players being way too good, self-revives, Ian taking Kai and Asher metal detecting, finding absolutely nothing but nails and earthy “steaks,” and the difference between kids who love getting dirty and kids who want nothing to do with it. We also get into Misawa versus Edwards outdoor life, Robby's increasingly powerful mustache, beard and mustache competitions, Slinky getting stickers stuck in his ear, miniature dachshunds, Neil Armstrong and the moon landing debate, conspiracy rabbit holes, animal control chasing neighborhood goats, whether goats could help Robby defeat the sticker weeds, and why the real problem is keeping them off the vehicles. Support the show

The first huge red Flag in the Cases against the Tates was the Social Media ban in 2022. There were no charges at that time and yet all these different companies from apple to Meta to Twitter to Google all banned Andrew and Tristan on the same day. There was no policy violation stated. They just banned them because they can. But for that all to happen at once that has to be organized from above. The only thing above all those giant companies is a government. This exact same thing happened to me as I was investing ACTUAL human trafficking and rape in the Epstein ring. I got off a flight look at my phone and I was logged out of everything because all my account other than Skype had been banned. Back then Skype was out of Estonia and not yet bought by Microsoft. I had been banned off things before but was normally allowed to appear and have them returned since I never broke any of the rules. That was just normal harassment by Zionist lying about to me get my things shut down. This was different.In the case of Andrew and Tristan both men were banned on all apps on the same day and they had millions of followers. Eventually Elon returned them to X. They never did get their other social media returned. This is an important fact because it shows that a government had it out for them and wanted to shut them up.A false allegation was tried in 2019 but it failed. This was the first rape and trafficking accusations which were in reality just girl friends who had had consensual sex. It was such a poor case that CPS dismissed it. They declined to pursue the case after a 4 year investigation because of insufficient evidence. That did not stop the BBC and other from smearing the Andrew Tate in particular and even getting the Independent Office for Police Conduct IOPC to investigate the CPS. Investigate the investigators because they didn't get the politically desired conclusion.When Hertfordshire Police failed to nail something down they simply had a second go at it with Bedfordshire Police which is where they get the new charges. But lets look at an example of the blatant media manipulation wand why the CPS rejected the accusations by Hertfordshire. This is what the BBC ran the article is still here Sounds terrible but that isn't what it really said. There are intentional omissions here. And that is criminal.If I consent it is not Rape. (no but…)What do you get from me hating it? Mr F*****g Nice Guy yeah. Makes you feel powerful? (no).This is clearly a type of role play. Furthermore the women continued datnig him and having consensual sex. for months after this. And the Police had to recognize this. Before you say well this is one case but what about the others, pause before moving the goal post and acknowledge how important this is. They created a case that was so bad that the CPS said it lacked sufficiant evidence and noted that the victims continuing the date and have sex afterwards discredits their claims. Rape victims to not keep texting much less dating and sleeping with their rapists. They waited so long that many text messages like this could have disappeared by now and wont be available to exonerate the Tate against the new claims by anonymous women. They haven't lived in the UK since 2016.Major news outlets purposely distorted the text messages by only printing what Andrew wrote without any context then accused the police who had the same context of failing at their investigation. They could not have not seen the rest of the messages! This was distorted on purpose to paint Andrew as a criminal. There was another strange incident when Andrew was on the reality show Big Brother a show an employee of mine used to work on. A sex tape was leaked which included belt slapping and play choking. This could have destroyed him right then and there. It led to him being kicked off the show. Fortunately the woman in the tape made 7 videos of her self saying that she is the woman in the tape and that it was consensual and something they were both into.Legally that mattered because it kept him out of serious legal trouble. But it was reputation damning because far more people saw they accusations than the explanation. It also establishes a pattern here that Andrew has a domineering sexual style. Many people do or they are submissive. there is nothing wrong or illegal about that. It is relevant though when a person is writing text messages. Most people do not assume hey I'll be a big celebrity one day and multimillionaire maybe I should be careful what i write to girl friends. That was all from the two thousand teens. One CPS rejected case on hold because in the UK there is no double Jeopardy. There is no right to know your accusers either. There is Epstein client appointees and actual rape gangs being ignored and repeat offenders in the country illegal that end up stabbing people to death and something the cops arrest the stabbing victims. As well as MPs engaged in child pornography and bestiality Florida's Attorney General Jame Uthmeier who opened an investigations into the Tates for the crime of visiting his state, is himself involved in moving ten million dollars from a medicaid settlement into his own PAC. Oh and he will not confirm or deny if he is keeping the conclusion of the grand jury on that matter secret. It would take a long time to explain the utter f******t that was Romania. In the midst of the Calin Georgescu affair, smae honnest prosecutor of the Tates involved in that too, DIICOT fumbled the bag in 2024 while Biden was still president, as they didn't correctly follow procedure. They were given time to correct their mistakes and still they could not do so and thus by early 2025 the Tates were free from judicial control. The case did not go away though.This case was ridiculous. There were women listed as victims who themselves said on film that they are not victims. It ultimately hinged one one women who is extremely not credible. For example in a different lawsuit because she has several against here we get this exchangeNot only are her lies insane she is talking about maintain her lies in order to lie to a court! Father's suicide, brothers overdose, mother trying to take your house, mom finding out we are still seeing each other, mother's boy friend molesting you, 2 fake vivid rape videos, 2 fake pregnancies, 5 fake family members, completely fake sudden discovery of adoption, mother on a meth binge and lying about her age and lying to court. She also posted pictured of herself eating out of a dog bowl with her sides of her pussy lips visible in extremely hiked up Daisy Dukes. A real class act. She claimed the Tates held her against her will when they were not even in the same country 3 of the 5 days she was there. She had her cell phone money and was free to go whenever which is what she did. Her grand “escape” was imply buying tickets online taking an Uber to the airport and leaving. She wasn't even in their house but a home near by that had English/Romanian speakers. She talked with another girl about how she deserved an Oscar and how she planned to cry etc. This is all written down! IF that had ever seen a trial she would have been creamed. But sadly that December trial will now not occur as the brother will be fighting extradition and then these knew UK charges until they are gray haired old men if they live that long. It gets worse too. We know that NGO were involved in orchestrating the whole thing and that the UK pressured Romania to cook something up. Because of the Tate's webcam business they found an angle to attack from. All the Tate haters who didn't like what they said politically online of course were true believers without any evidence needed because it fit their world view. Now we have two men, 38 and 39 facing the rest of their lives in prison still without any convictions, and yet they are in solitary confinement. That goes against the 5th amendment and several state constitutional amendments. But it is two tiered justice. Florida had the most Epstein activity and it was Florida that gave him and his cohorts the Sweetheart deal.More updates pending as the trials move along next one is July 27thRyan Dawson's Anti-neocon Report is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.ryandawson.org/subscribe

Welcome to episode 364 of The Cloud Pod, where the forecast is always cloudy! Justin and Matt are in the studio this week to bring you all the latest in cloud and AI news, including (surprise) astronomical AWS bills, Kimi K3 and what it means for Enterprise AI, and lots of security news! All that and so much more, so let's get started!  Titles we almost went with this week Cache Rules Everything Around NFS Now Lambda Says BYOB, Bring Your Own Bucket Henrico’s Power Struggle: Data Centers 37, Schools 0 Cloud Run Fails Over Faster Than Your Excuses 570 Patches, One Registry Hive Nightmare GuardDuty Gets a Detective Agent, No Trench Coat Required Kimi K3 Aims to Moonwalk Past Opus 4.8 Terraform Gets Policy Muscle, Ditches the Rego Diet CloudWatch Watches Your AI Coders Code Watt A Way To Treat A School District Your Cloud Bill… 1 BILLION DOLLARS Not a way I want to wake up rogue cloud bills Skype is EOL … wait I thought I died 3 times already Our newest superhero CODEMENDER!! A big thanks to this week's sponsors: We're sponsorless! Want to get your brand, company, or service in front of a very enthusiastic group of cloud news seekers? You've come to the right place! Send us an email or hit us up on our Slack channel for more info. General News  00:49 Amazon fixing bug that billed some AWS customers billions of dollars  A bug in the AWS billing computation subsystem generated inflated billing estimates for some customers, with one Reddit user reporting a quoted estimate near 2.5 billion dollars for a single month. In contrast, others saw figures ranging from millions to hundreds of millions. The issue began late Thursday, and an initial rollback attempt on Friday morning failed to resolve it, suggesting the root cause was more complex than a recent configuration change. Amazon confirmed the billing estimates do not reflect actual usage or charges, meaning affected customers will not be responsible for the inflated amounts shown in the console. Amazon has not disclosed whether any accounts were suspended or paused due to the billing errors, leaving open questions about operational impact during the incident. The event highlights the importance of billing system reliability for cloud providers, since inaccurate estimates at this scale can cause confusion and concern even when the underlying charges are not real. 01:29 Justin – “Amazon doesn’t bill you in the middle of the month, so it’s a pretty low risk that you were gonna get billed or invoice directly on that date, unless you happen to already be overdue on a payment and you were happening to update your credit card at the same time. I don’t think that’s really a big risk for this particular scenario.”  05:04 County With 37 Data Centers Asks Schools to ‘Conserve Electricity' Listener note: Paywall article  H

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

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

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For educational purposes only It's time to get superior results with us! Support your health & wellness journey with #Titan! Feel Better, Look Better & Perform Better with TitanMedical Center! HormoneOptimization #Health #Wellness #TitanMedicalCenter

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“A place that doesn't have great philosophers will not have great technologists either.” — Mehran Gul on Europe's inexplicable underperformance The digital revolution, we were promised, would mean the end of geography. From Beijing to Birmingham to Berlin to Barcelona, anyone could invent anything anywhere, and so the geography of innovation would no longer matter. But that's not the way it has worked out. At least according to the Geneva-based innovation geographer Mehran Gul. Gul's acclaimed The New Geography of Innovation is a travelogue of innovation. But what he finds on his journey around the world in search of innovation is the end of the end of geography. Yes, Gul reports, there's innovation in Beijing and in Birmingham (USA) — but not in Birmingham (England), Berlin or Barcelona. All the important invention is in China and the US. There simply isn't much radical stuff going on anywhere else. Gul began his journey expecting to find ten or twelve countries able to innovate competitively with the United States and China. But what he discovered is either niche players or, in the case of South Korea, Israel, and India, just an extension of the US-centric system. Europe — as renters rather than owners of American technology — comes off worst. When PayPal went public, it minted 160 millionaires who went on to help build SpaceX, Tesla, LinkedIn and Palantir; when Skype exited at about the same value, it minted 11. And if you put London aside, the rest of the UK is now poorer per capita than Mississippi. And the AI boom has only compounded all this, with half of last year's key research papers coming from China, 40% from America, and just 4% from Europe. So really the new geography of innovation is the old geography. Only with China replacing Europe as the only serious competitor to American innovation. Oh lord, oh lord. As a Mississippi bluesman might summarize Europe's predicament. Five Takeaways •       Golden Shares: The Two Systems Are Converging. OpenAI offering Washington a 5% stake, the US government owning Intel — these are Chinese moves, and Gul argues the two models are becoming more alike than either admits. But he pushes back on the lazy version of the China story: its tech sector rose despite the state, not because of it. Jack Ma exiled to Japan, Didi hit with a billion in fines, entire sectors decapitated overnight in 2021 under the banner of common prosperity. In a country with no independent media and no opposition parties, the only rival to centralized power is the tech sector — and the party knows it. •       Two Countries — and Everyone Else. Gul started writing expecting to find ten or twelve countries punching at America's level; the honest answer turned out to be two. Only China has broad-based competence across technologies and a genuinely competitive relationship with the US. The middle powers — South Korea, Israel, India — are extensions of the American system, not rivals to it. That finding surprised the author as much as anyone: it's not the book he set out to write. •       Europe: Renters, Not Owners. After the Fable 5 and Mythos bans, Europe woke up to being a renter of American technology — foundation models, NVIDIA GPUs, all of it. Its best companies keep leaving: DeepMind to Google, Arm to a New York listing, Hugging Face from Paris to Manhattan — while Volvo, Supercell, and KUKA sold to China. Gul's diagnosis is institutional, not cultural: European employees own half as much of their startups as American ones, so there is no European PayPal mafia. His fixes: a European Nasdaq to replace 41 competing capital markets, and pension funds unleashed into venture capital. •       The Question Nobody Is Asking. Since 1990, America's share of global GDP has held at 25% while China's multiplied tenfold — the loser is Europe. The top ten American tech companies are worth $27 trillion, more than the GDP of every country on earth except America itself. Tech is not one industry among many; it is the foundation of all of them — the new cars came from Tesla, not GM. Gul's message to the skeptical Spaniard enjoying long lunches: the last sixty years of American platform dominance skewed power across the Atlantic, and the next sixty will add China to the bill. •       The Rest of the Map: Anti Case Studies. Japan tops the freedom indexes, has the technical schools, and still never escaped the keiretsu — disproving Matt Ridley's claim that innovation is simply the child of freedom. Taiwan's relevance comes down to one company and Morris Chang's missed promotion at Texas Instruments. Singapore is an inspiration, not a model — a one-party city-state that invoices NVIDIA's chips and banks ASEAN's venture capital. India underperforms while Indians excel — 56 notable American foundation models last year, 35 Chinese, barely one Indian. And Switzerland reminds us innovation isn't only venture-backed: a train network running on renewables since the 1960s. About the Guest Mehran Gul writes about technology and business. He is the winner of the Financial Times/McKinsey Bracken Bower Prize, from which The New Geography of Innovation grew. He attended Yale as a Fulbright Scholar, Fox International Fellow, and Teaching Fellow, has been a Lead for the Digital Transformation of Industries at the World Economic Forum in Geneva, and served as an expert on entrepreneurship and industrial policy at the United Nations Industrial Development Organization in Vienna. Born in Pakistan, he lives in Switzerland. The New Geography of Innovation: The Global Contest for Breakthrough Technologies (Avid Reader Press/Simon & Schuster), a Financial Times Book of the Year, is his first book, out in paperback this month in the US and UK. References: •       The New Geography of Innovation: The Global Contest for Breakthrough Technologies by Mehran Gul (Avid Reader Press/Simon & Schuster). The Wall Street Journal: “An ambitious tour of technological innovation.” •       Sebastian Mallaby — author of The Power Law, which argues China's tech rise owes more to American-style risk capital arriving in Shanghai and Shenzhen than to the state; recently on the show discussing his biography of Demis Hassabis. •       Kai-Fu Lee — author of AI Superpowers, cited by Gul as the classic account of tech written through a Chinese lens. •       Matt Ridley — author of How Innovation Works, whose thesis that innovation is “the child of freedom and the parent of prosperity” Gul tests against the anti case study of Japan. •       Andrew Keen — author of How t...

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In this transmission of our attempt at imaginary radio, we bring you part two of the mailbag episode with BJA Pro, Nickels as he and I try an tackle more questions that were sent in from the listeners. NOTE:Some of this was originally recorded and published in 2021 as Episode 15 of the Podcast. Updated in July 2026. We added some things here and there as well. Our apologies for the poor audio quality as it was recorded via Skype and before we had a clue about audio production! We fixed it the best we could, and it absolutely sounds better, we think. But, audio aside- there is still some entertaining and useful AP content here! We'll see you down the felt! - Mike AP

Ajay Kulkarni grew up in tech, as his father was a tech entrepreneur selling PC's in the early 80's. He went to college in MIT, and eventually founded a startup that was acquired by GroupMe (while it was being acquired by Skype... while they were being acquired by Microsoft). He's always been attracted to building things, so startups are right up his alley. Outside of tech, he is married with 2 young kids. He is a big exercise guy... he loves to run, swim and track his steps. Additionally, he loves music - to listen, and to play guitar, piano and drums.Ajay and his co-founder met 30 years ago at MIT. They reconnected after years of doing their own thing, starting to dig into the iOT world. In doing this, they built a database because they the best solution to store this data... and in doing so, they unlocked their next venture out of this necessity.This is the creation story of Tiger Data.SponsorsUnblockedTECH DomainsMezmoBraingrid.aiLinkshttps://www.tigerdata.com/https://www.linkedin.com/in/ajaykulkarni/Our Sponsors:* Check out Cash App and use my code CASHAPP10 for a great deal: https://cash.app* Check out Plaud AI and use my code CODESTORY for a great deal: https://plaud.aiAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

A Hawaiian goes all-in on the popular instrument of the islands, touring Europe and teaching virtual lessons by Skype. Side Hustle School features a new episode EVERY DAY, featuring detailed case studies of people who earn extra money without quitting their job. This year, the show includes free guided lessons and listener Q&A several days each week.Show notes: SideHustleSchool.comEmail: team@sidehustleschool.comBe on the show: SideHustleSchool.com/questionsConnect on Instagram: @193countriesVisit Chris's main site: ChrisGuillebeau.comRead A Year of Mental Health: yearofmentalhealth.comIf you're enjoying the show, please pass it along! It's free and has been published every single day since January 1, 2017. We're also very grateful for your five-star ratings—it shows that people are listening and looking forward to new episodes.