Podcasts about Signal

Air Date: 7/22/2026 Today we look at how three things Europe thought were features turned out to be leverage that could be held against them: American military protection, Silicon Valley software, and cheap Chinese goods. From a French government office running Linux to a secret European defense coalition that bypasses Washington, Europe is quietly swapping out the old architecture rather than dismantling it, one operating system migration and one secret war game at a time. Full Show Notes Transcript Be part of the show! Leave a voice message, message us on Signal at the handle bestoftheleft.01, or email Jay@BestOfTheLeft.com BestOfTheLeft.com/Support (Members Get Bonus Shows + No Ads!) Use our links to shop Bookshop.org and Libro.fm for a non-evil book and audiobook purchasing experience! Join our Discord community! TOP TAKES KP 1: TODAY: Europe Replaces ENTIRE American Software Stack - Google OUT, Microsoft OUT June 9 - House of El - Air Date 6-4-26

Sending FBI Director Kash Patel to Moscow right before the Midterms is like sending a coked-up frat boy into a whorehouse in hell, and the FSB will eat him alive. As Trump pushes the SAVE Act to disenfranchise millions, is he calling in Russian reinforcements to steal Congress?  Can we overcome a gutted Voting Rights Act, MAGA poll taxes, and Russian cyber warfare and disinformation brainrotting? Yes. By treating our vote as sacred and doing the unglamorous, powerful grassroots work that wins elections–and ensured Zohran Mamdani defeated Andrew Cuomo not once, but twice. We deserve nice things–but we must work for them. That's how progress gets made. Our heroes who came before us felt demoralized and tired, too. Andrea's new book, A Reasonable Guide for Unreasonable Women: 20 Steps to Find Your Purpose and Power in a World on Fire, shares some of their stories and insights. We can put an end to Trump and Putin's dreams of turning America into a Russian-style oligarchy by remembering our power.  On this week's show, we're joined by comedian and activist Pete Dominick of the Stand Up with Pete Dominick podcast. We break down the Epstein files, media intimidation, and the growing resistance to authoritarianism. In our bonus show, available exclusively for our Patreon and Substack supporters, we name names of who in the media enabled Trump's rise, and Pete shares what it was like trolling Trump to his face on The Apprentice.  We refuse to let them steal our future and our children's futures. Come discuss this and more at the Gaslit Nation Salon this Monday at 4pm ET. We could not produce this independent journalism or build this resilience community without you. Join us, get access to the Salons, and hear Part II of our interview with Pete Dominick by subscribing at Patreon.com/Gaslit or GaslitNation.Substack.com today. EVENTS AT GASLIT NATION: Gaslit Nation Salons take place Mondays 4pm ET over Zoom and are recorded and shared on Patreon.com/Gaslit and GaslitNation.Substack.com for our community New! There's now a California Signal Group for Gaslit Nation listeners to find each other and connect in that state. Join on Patreon or Substack! The Gaslit Nation Outreach Committee discusses how to talk to the MAGA cult: Join on Patreon or Substack! Minnesota Signal group for Gaslit Nation listeners in the state to find each other: Join on Patreon or Substack! Vermont Signal group for Gaslit Nation listeners in the state to find each other: Join on Patreon or Substack! Arizona-based listeners launched a Signal group for others in the state to connect. Join on Patreon or Substack! Indiana-based listeners launched a Signal group for others in the state to join. Join on Patreon or Substack! Florida-based listeners are going strong meeting in person. Be sure to join their Signal group. Join on Patreon or Substack! As always, keep it kind in our chat groups, extend grace and assume good faith. A culture of care is how we build a better world.  Join our community of listeners and get bonus shows, ad free listening, group chats with other listeners, ways to shape the show, invites to exclusive events like our Monday political salons at 4pm ET over Zoom, and more! Discounted annual memberships are available. Become a Democracy Defender at Patreon.com/Gaslit Show Notes: Pre-order Andrea's new book today! A Reasonable Guide for Unreasonable Women: 20 Steps to Find Your Purpose and Power in a World on Fire https://www.penguinrandomhouse.com/books/807202/a-reasonable-guide-for-unreasonable-women-by-andrea-chalupa/ Listen to Stand Up! With Pete Dominick https://standupwithpete.com/ Murkowski: SAVE Act Could Require $1,000 Trips to Register to Vote https://www.newsweek.com/murkowski-save-act-could-require-1000-trips-to-register-to-vote-12214305 Trump says he spoke with Sen. Lindsey Graham hours before his death President Donald Trump said Graham called him to discuss the SAVE America Act on Saturday. https://www.nbcnews.com/politics/congress/trump-phone-call-lindsey-graham-death-save-act-rcna552732  FBI Director Kash Patel plans Russia trip The plans come as the U.S. and Russia have failed to come to terms on ending the war in Ukraine. https://www.politico.com/news/2026/07/20/kash-patel-fbi-russia-trip-01005078  US, Russian teams met in Florida and discussed 'variety of topics,' Witkoff says https://www.reuters.com/world/us-russian-teams-met-florida-discussed-variety-topics-witkoff-says-2026-03-12/

In today's episode, I sit down with entrepreneur and inventor Sylvester Raymond, founder of Piñata Digital Marketing and Signal to Sale, to talk about building technology that solves real business problems. We discuss why humility creates opportunities, how listening to experienced mentors can change the direction of a company, and the challenge of explaining complex technology in simple terms. Sylvester shares how his ad-free monetization platform evolved into Signal to Sale, a system that helps businesses identify buyers at the right moment instead of wasting time on cold prospecting. We also explore AI, predictive data, sales timing, and revenue velocity.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Husain Haqqani and Bill Roggio. A tanker fire in the Straits of Hormuz and consecutive days of missile exchanges signal a "war restart." Ambassador Haqqani argues neither side can afford to look weak, leading to a stalemate of aerial bombing without a clear plan for regime change. Roggio and Haqqani agree air power alone cannot secure ground, and the estimated 600,000 troops required for a ground invasion is "science fiction." (1)1767 YEMEN

Reviewing the July 2026 JW Broadcast. As mentioned in this review, my 2023 JW Drama review can be found HERE. Subscribe to the JW Review Podcast HERE (Apple/iTunes), HERE (Spotify), or HERE (Amazon) Support MJF Apologetics through Patreon HERE or Paypal HERE WhatsApp or Signal: please contact me directly for my number Email me HERE

Außerdem: Osteoporose - Kriegen das jetzt mehr Menschen? (12:21) Mehr spannende Themen wissenschaftlich eingeordnet findet ihr hier: www.quarks.de // Habt ihr Feedback, Anregungen oder Fragen, die wir wissenschaftlich einordnen sollen? Dann meldet euch über Whatsapp oder Signal unter 0162 344 86 48 oder per Mail: quarksdaily@wdr.de. Von Ina Plodroch.

Daily Snippet vom 20.07.2026 Kimi K3 aus China verschärft den Druck auf Nvidia und andere KI Aktien. Ist das der nächste DeepSeek Moment oder verkauft der Markt gerade die falschen Gewinner? Moonshot AI meldet 2,8 Billionen Gesamtparameter, bis zu eine Million Token Kontext und deutlich niedrigere API Preise als westliche Spitzenmodelle. Gleichzeitig war der Andrang so groß, dass neue Privatkundenabos pausiert wurden. In dieser Episode erfährst du: • warum Kimi K3 den KI Abverkauf verstärkte, aber nicht allein verursachte • was die aktuellen Benchmarks wirklich zeigen und wo der Hype beginnt • warum günstigere KI die Margen der Modellanbieter drücken und gleichzeitig den Bedarf an Chips, Speicher und Strom erhöhen kann • welche Entwicklungen langfristige Anleger jetzt beobachten sollten Meine CIO Einschätzung: Kimi K3 ist ein ernstes Signal für mehr Wettbewerb. Der pauschale Schluss, dass dadurch weniger Rechenleistung gebraucht wird, greift zu kurz. Welche konkreten Positionen und Einstiegsszenarien ich daraus ableite, zeige ich im Daily:

Wednesday, July 16th, 2025 ICE declares millions of undocumented immigrants are ineligible for bond hearings; Republicans move to block the release of the Epstein files; Mike Waltz faces Senate grilling over the Signal chat scandal; Trump pushes an unconstitutional mid-decade redistricting bid for Texas in an effort to keep the House; the Black Rebel Motorcycle Club issues a blistering cease and desist to the Trump regime over unlicensed use of their music; a federal appeals court blocks Trump from stripping Afghan nationals of their temporary protected status; and Republican Rep James Comer used autopen to sign the subpoenas in his investigation into Biden's use of the autopen. Allison and Dana deliver the good news. Guest: Ben Folds Stream Ben Folds LIVE - Listen on YouTube, Spotify, Apple Music - Linktree @actualbenfolds.bsky.social - Bluesky, @actualbenfolds) • Instagram, benfoldsTV - YouTube Stories ICE declares millions of undocumented immigrants ineligible for bond hearings | The Washington Post Republicans move to block Democratic effort to force release of Epstein files | The Guardian President Trump pushes controversial redistricting plan in Texas, Gov. Greg Abbott adds to special session agenda | CBS News Mike Waltz pledges to make UN 'great again' at Senate confirmation hearing | AP News Trump Kept Gold Club World Cup Trophy for Himself So FIFA Had to Give the Winners a Replica | Daily Beast Rock Band Rips Kristi Noem's DHS For Using Its Song With NSFW 3-Word Demand | HuffPost Entertainment Lead investigator into Biden's use of an autopen signed letters with a digital signature | NBC News Appeals Court Blocks Trump Administration From Ending Deportation Protections for Afghans, for Now | The New York Times Reminder - you can see the pod pics if you become a Patron. The good news pics are at the bottom of the show notes of each Patreon episode! That's just one of the perks of subscribing! patreon.com/muellershewrote Listener Survey:http://survey.podtrac.com/start-survey.aspx?pubid=BffJOlI7qQcF&ver=shortFollow the Podcast on Apple:https://apple.co/3XNx7ckWant to support the show and get it ad-free and early?https://patreon.com/thedailybeanshttps://dailybeans.supercast.com/https://apple.co/3UKzKt0 Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Air Date: 7/18/2026 Today we examine recent primary elections and how the political smear of crying 'socialism' has been dusted off and aimed at a new generation of candidates. What's changed is that the people being smeared are actually winning elections, and the more the establishment called them dangerous, the stronger their numbers got. Full Show Notes Transcript Be part of the show! Leave a voice message, message us on Signal at the handle bestoftheleft.01, or email Jay@BestOfTheLeft.com BestOfTheLeft.com/Support (Members Get Bonus Shows + No Ads!) Use our links to shop Bookshop.org and Libro.fm for a non-evil book and audiobook purchasing experience! Join our Discord community! TOP TAKES KP 1: The Red Scare Returns Trump Is Calling Us Communists - Thom Hartmann Program - Air Date 7-8-26 KP 2: Brooks and Capehart on What's Next for Democrats in the Maine Senate Race - PBS NewsHour - Air Date 7-10-26 KP 3: Why Dems Like Him Are Crashing Out Right Now with Jeet Heer Part 1 - The Majority Report - Air Dat 7-3-26 KP 4: A Progressive Compact for America Part 1 - Ralph Nader Radio Hour - Air Date 6-20-26 KP 5: Democratic Socialist Electoral Victories and the Implications for American Politics Part 1 - Rev Left Radio - Air Date 7-12-26 KP 6: Unsticking Congress with Maya Kornberg Part 1 - Future Hindsight - Air Date 5-7-26 (00:48:08) NOTE FROM THE EDITOR The Democrats Are Losing Because They Chose Wall St. Over Workers My commentaries on YouTube - Share them! DEEPER DIVES (00:59:58) SECTION A: WHO THEY ARE A1: Can a Democratic Socialist Win in a Swing State This Progressive in Wisconsin Thinks so - MS Now Reports - Air Date 7-8-26 A2: Stop Trump's Project 2025 Scheme to Kill Science; Guest Dr. Colette Delawalla of Stand Up for Science Part 1 - The BradCast - Air Date 6-24-26 A3: How Colorado Spooked the Establishment with David Sirota - The Majority Report - Air Date 7-4-26 A4: Primary Fights - The Practivist Pod - Air Date 6-4-26 A5: How Colorado Spooked the Establishment with David Sirota Part 2 - The Majority Report - Air Date 7-4-26 A6: Stop Trump's Project 2025 Scheme to Kill Science; Guest Dr. Colette Delawalla of Stand Up for Science Part 2 - The BradCast - Air Date 6-24-26 A7: Why Dems Like Him Are Crashing Out Right Now with Jeet Heer Part 2 - The Majority Report - Air Dat 7-3-26 (02:00:45) SECTION B: WHAT THEY BELIEVE B1: The Socialists Are Coming! Part 1 - Today, Explained - Air Date 7-2-26 B2: DSA & Justice Democrats on Changing the Democratic Party, Mamdani, Gaza & More - Democracy Now! - Air Date 7-10-26 B3: The Socialists Are Coming! Part 2 - Today, Explained - Air Date 7-2-26 B4: Trump's America250 Spectacle, the SSPX Schism, and the Rise of Democratic Socialists - Straight White American Jesus - Air Date 7-3-24 (02:27:27) SECTION C: MONEY, POWER, AND THE RECKONING C1: A Progressive Compact for America Part 2 - Ralph Nader Radio Hour - Air Date 6-20-26 C2: Seth Stern on Criminalizing Dissent - CounterSpin - Air Date 6-26-26 C3: Unsticking Congress with Maya Kornberg Part 2 - Future Hindsight - Air Date 5-7-26 (02:57:37) SECTION D: CRITIQUES AND THE PATH FORWARD D1: Why I Left the (White) Left Part 1 - Signified B Sides - Air Date 6-2-26 D2: Democratic Socialist Electoral Victories and the Implications for American Politics Part 2 - Rev Left Radio - Air Date 7-12-26 D3: A Joy Reid Rant Democrats Want Obedience; We Need Justice Part 1 - The Joy Reid Show - Air Date 7-12-26 D4: Why I Left the (White) Left Part 2 - Signified B Sides - Air Date 6-2-26 D5: Why the Center Left Is Losing, the Squad Vs. the Median Voter, and How Patriotism Wins Elections Part 1 - The Good Fight - Air Date 6-27-26 D6: A Joy Reid Rant Democrats Want Obedience; We Need Justice Part 2 - The Joy Reid Show - Air Date 7-12-26 D7: Why the Center Left Is Losing, the Squad Vs. the Median Voter, and How Patriotism Wins Elections Part 2 - The Good Fight - Air Date 6-27-26   Produced by Jay! Tomlinson Visit us at BestOfTheLeft.com Listen Anywhere! BestOfTheLeft.com/Listen Follow BotL: Bluesky | Mastodon | Threads | X Like at Facebook.com/BestOfTheLeft Contact me directly at Jay@BestOfTheLeft.com

Physical fitness may not be the first thing that comes to mind when we think about ministry, but should it be? In this episode of The Missions Show, Alex Kocman and Scott Dunford explore why caring for our bodies is part of faithfully stewarding God's calling. They discuss the relationship between physical health, spiritual discipline, and long-term ministry effectiveness, while avoiding legalism or unrealistic standards. The conversation also tackles the unique challenges pastors and missionaries face, from food-centered hospitality to sedentary work and ministry stress. Alex and Scott share practical habits, biblical principles, and personal experiences that can help believers build strength, energy, and endurance so they are better prepared to serve their families, churches, and the mission God has given them. Key topics: Why physical fitness matters for long-term ministry The biblical connection between stewardship, discipline, and the body Common health challenges pastors and missionaries face Practical habits for building strength and endurance How physical health supports mental clarity and ministry effectiveness Simple ways to stay active in every season of life Do you love The Missions Show? Have you been blessed by the show? Then become a Premium Subscriber! Premium Subscribers get access to: Exclusive bonus content A community Signal thread with other listeners and the hosts Invite-only webinars A free gift! Support The Missions Show and sign up to be a Premium Subscriber at missionsshow.com/premium The Missions Show is powered by ABWE. Learn more and take your next step in the Great Commission at abwe.org. Want to ask a question or suggest a topic? Email alex@missionsshow.com.

Max spends his Friday nights broadcasting homemade radio signals toward the Kuiper Belt hoping to reach alien life, and one summer evening, something finally answers back.Look for this podcast on Apple Podcasts, Spotify, iHeart Radio, Amazon Music, Pandora, TuneIn Radio, and other podcast apps. Get a list of free listening apps here: https://pod.link/1655277373Find more family-friendly frights and creepy games to play on our website at http://MicroTerrors.com!Facebook page: https://www.facebook.com/microterrorsOther stories, novels, and more from author Scott Donnelly: https://amzn.to/3LymHaUOther narrations, podcasts, and audiobooks from voice artist Darren Marlar: https://WeirdDarkness.com= = = = = = = = = = = = = = = = = = = = = = = = = = = = = =Weird Darkness©, 2026Micro Terrors: Scary Stories for Kids™, 2026#MicroTerrors #WeirdDarkness

FEATURING: (00:02:59) Listener Mail - How to approach Sonic Mania.(00:12:37) Signal over ceremony.

Herzlich willkommen zu Ihrem morgendlichen Newsletter! Drei aktuelle Entwicklungen zeigen, wie sehr politische Konflikte und wirtschaftlicher Druck zunehmen und wie schwierig es ist, die richtige Balance zu finden. Einerseits setzt die US-Initiative gegen Linksextremismus ein Signal, andererseits sehen Kritiker die Gefahr, dass dabei andere Bedrohungen aus dem Blick verloren werden und legitimer Protest unter Generalverdacht gestellt wird. In Deutschland offenbart der Streit um die AfD-Landesliste in Nordrhein-Westfalen interne Machtkämpfe, die das Vertrauen in demokratische Verfahren weiter belasten könnten. Gleichzeitig verdeutlicht die Situation bei Volkswagen in Emden, wie verletzlich industrielle Standorte sind. Hohe Kosten und strukturelle Hürden gefährden Arbeitsplätze, während neue Branchen den Wandel noch nicht auffangen können. Die Politik steht somit vor der Aufgabe, Sicherheit, Rechtsstaatlichkeit und wirtschaftliche Stabilität zugleich zu gewährleisten. Weitere Artikel zusätzlich zum Newsletter finden Sie auf epochtimes.de

Max spends his Friday nights broadcasting homemade radio signals toward the Kuiper Belt hoping to reach alien life, and one summer evening, something finally answers back.Look for this podcast on Apple Podcasts, Spotify, iHeart Radio, Amazon Music, Pandora, TuneIn Radio, and other podcast apps. Get a list of free listening apps here: https://pod.link/1655277373Find more family-friendly frights and creepy games to play on our website at http://MicroTerrors.com!Facebook page: https://www.facebook.com/microterrorsOther stories, novels, and more from author Scott Donnelly: https://amzn.to/3LymHaUOther narrations, podcasts, and audiobooks from voice artist Darren Marlar: https://WeirdDarkness.com= = = = = = = = = = = = = = = = = = = = = = = = = = = = = =Weird Darkness©, 2026Micro Terrors: Scary Stories for Kids™, 2026#MicroTerrors #WeirdDarkness

Übergewicht und Bewegungsmangel sind ein Problem. Aber wo haben wir den größeren Effekt, wenn wir uns mehr bewegen oder wenn wir gesünder essen? Und liegt es nur an mir oder könnten Politik und Gesellschaft helfen, gesünder zu leben? // / Habt ihr Feedback, Anregungen oder Fragen, die wir wissenschaftlich einordnen sollen? Dann meldet euch über Whatsapp oder Signal unter 0162 344 86 48 oder per Mail: quarksdaily@wdr.de. Von Christina Sartori.

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

The Signal Beneath Saltmarsh Omega-4 Turned My Team Into MessengersBecome a supporter of this podcast: https://www.spreaker.com/podcast/dark-mysteries-unsolved-mysteries-forgotten-secrets-unanswered-questions--5684156/support.Darkest Mysteries Online

The Rescue Beacon Was Never Ours to SignalBecome a supporter of this podcast: https://www.spreaker.com/podcast/dark-mysteries-unsolved-mysteries-forgotten-secrets-unanswered-questions--5684156/support.Darkest Mysteries Online

The Rescue Signal Wasn't a Call for HelpBecome a supporter of this podcast: https://www.spreaker.com/podcast/dark-mysteries-unsolved-mysteries-forgotten-secrets-unanswered-questions--5684156/support.Darkest Mysteries Online

What if the very thing you've been hiding is the key to unlocking everything you want? In this episode, Lacy and Jessica explore a gentler chapter of manifestation: one rooted in authenticity, self-trust, and coming home to who you truly are. They share updates from the Be Seen Challenge and unpack the subtle ways we hide: people-pleasing, over-explaining, perfectionism, and chasing external validation. True visibility isn't about being louder or more performative — it's about feeling safe enough to own your desires, trust your intuition, and let your authentic self become your strongest signal. Plus, they answer listener questions on confidence, manifestation tests, relationship shadows, finances, and embodying the liberating “f*ck it” energy that comes from truly trusting yourself. Ready to tap into what's waiting to be seen? Take the Be Seen Challenge kickoff quiz (also in the TBM app) and discover the places in your life that are ready to transform.  Full show notes → https://tobemagnetic.com/expanded-podcast   Resources: Last Chance: $23/Month Ends Monday Our lowest price of the season disappears Monday, July 20 at 11:59pm PST. Don't miss this chance to lock in your Pathway membership for just $23/month and start manifesting the life you deserve.   The Be Seen Challenge Quiet your inner critic, stop playing small, and start manifesting the life you truly want. Now live inside The Pathway.   Free Masterclass: Step Into Your F*ck It Energy If you missed our live masterclass with Lacy and Jessica — don't worry, you can still watch the replay! Learn how to step into your f*ck it energy and feel genuinely safe being seen.   Join the Pathway Membership Use code EXPANDED for 20% off your first month! The Pathway Membership gives you unlimited access to all of our manifestation workshops—including How to Manifest, Unblocking Your Inner Child, Shadow, Love, Money, Rock Bottoms, Ruts, and Energetic Updates —plus 70+ self-hypnosis tracks designed to unlock your full potential. LEARN MORE HERE   Get the latest from TBM Join the Pathway now - Return to Magic Challenge, Money Challenge, and Nervous System Reset available now! New to TBM? Free Offerings to Get You Started Learn the Process! Expanded Podcast - How to Manifest Anything You Desire  Get Expanded! The Motivation - Testimonial Library Ready to find out what's holding you back? Try our Free Clarity Exercise Be an EXPANDER! Share Your Manifestation Story Submit to Be a Process Guest What did you manifest during the Return to Magic Challenge? Share a voice note of your question, block, or Process to be featured in an episode! This Episode Is Brought to You By:  Nutrafol - Get $10 your first month's subscription + free shipping with code TBM Nutrafol Women Fatty15 - go to fatty15.com/TBM use code TBM at checkout to get an additional 15% off your 90-day subscription Starter Kit In this episode we talk about: The energetic shift from the Year of Stripping to the Refinement Era Why authenticity is becoming the most magnetic frequency Updates and breakthroughs from the Be Seen Challenge Understanding your authentic signal versus performing for validation The feminine version of "f*ck it" energy How people-pleasing quietly blocks manifestation Why disconnecting from technology strengthens intuition Manifesting a home that reflects your authentic self Recognizing manifestation blinders caused by overstimulation Working through time pressure, urgency, and manifestation timelines How relationship shadows appear when you begin expanding Learning to trust your own desires without seeking permission Ancient beauty rituals for nervous system regulation and intuitive connection Simplifying finances and creating energetic spaciousness Why raw authenticity will become more valuable than perfectly curated content Mentioned In the Episode:  Learn more about Signal and authenticity in our Signal Ep Learn more about the energetics of 2026 and 2027 and the Refinement Era in The Hidden Fear Blocking Your Manifestations Right Now Tune into Lacy's Substack! - By Candlelight - Join Here Jessica's fave for hair health: Nutrafol, Act & Acre Shampoo Lacy's fave for hair health: Mason Pearson brush, Act & Acre Dermastamp Find our Be Seen Challenge plus all our workshops and all workshops mentioned inside our Pathway Membership! (Including the Worst Case Scenario DI, Golden Shadow DI, Safe to Be Seen DI) HOW TO MANIFEST by Lacy Phillips (with exercises by Jessica Gill)Available now! The Expanded Podcast, from To Be Magnetic™ (TBM), is the leading manifestation podcast rooted in neuroscience, psychology, and energetics. Hosted by TBM's Chief Content Officer Jessica Gill, with monthly appearances from founder Lacy Phillips, Expanded is where science and the mystical meet to help you manifest in the most grounded, practical, and life-changing way.At TBM, we've redefined manifestation through Neural Manifestation™—our proven, science-backed method developed with neuroscientist Dr. Tara Swart. This process helps you reprogram limiting beliefs at the subconscious level so you can create the life most aligned with your authenticity.Each week, we take you inside the TBM practice to help you expand your subconscious to believe what you desire is possible. Through expert interviews, thought leader conversations, TBM teachings, and real member success stories, you'll learn how to: – Rewire your subconscious mind and step into your worth – Heal your inner child and integrate shadow work – Set boundaries, strengthen intuition, and reclaim self-worth – Manifest relationships, careers, abundance, and experiences that align with your true selfWith over than 40 million downloads and a global community in over 100 countries, Expanded has become the gold standard in manifestation content. Think of it as your weekly practice for expanding your mind, believing what you want is possible, and manifesting the life you're meant to live.Past guests include leading voices such as Mel Robbins, Lewis Howes, Jenna Zoe, Martha Beck, Dr. Joe Dispenza, Dr. Gabor Maté, Mark Groves, and Brianna Wiest. Where To Find Us!@tobemagnetic (IG)@LacyannephillipsLacy Launched a Substack! - By Candlelight - Join Here@Jessicaashleygill@tobemagnetic (youtube)@expandedpodcast

The core structural shift identified is budget reallocation within technology spending, as funds are redirected from legacy software, hardware refreshes, and higher-cost labor toward AI infrastructure, automation, and junior-level hiring. This resource substitution is not additive but redistributive, with spending on AI solutions and related tools coming directly from reductions in traditional IT line items. IBM's $70 billion market valuation loss and delays in large deals signal that even established vendors are affected by this reallocation, with money leaving areas they once dominated. The primary evidence is IBM's issuance of its first profit warning since the early 2000s, attributed to missed large contracts and delayed deals, which triggered a 25% drop in share value, equating to $70 billion in market cap loss. According to Dave Sobel citing Semafor, this reduction was not due to an overall decrease in technology budgets but resulted from enterprise customers reallocating funds toward hardware and AI-related infrastructure. Omnia reported a 3.6% decline in global PC shipments during the second quarter, which was also attributed to rising hardware component costs driven by AI buildouts, causing delays and cancellations in endpoint refresh cycles. Supporting developments include Ramp and Revelio Labs research showing that organizations intensively adopting AI increased headcount by 10% and entry-level hiring by 12% over two years, while CompTIA found IT unemployment fell below 3% even as tech firms cut staff. Futurism cited further labor market reshuffling, with older workers in AI-exposed roles exiting the workforce and younger, cheaper hires being amplified by automation. ConnectWise's rollout of an AI-native platform and KPMG's survey highlighting the importance of leadership accountability in AI projects reinforce that resource allocation is shifting to tools and personnel accountable for AI operation and outcomes. Operationally, this reallocation puts pricing pressure on providers focused on legacy revenue lines such as per-seat licenses, break-fix, and hardware refresh, as these budget categories are shrinking. Evidence from Service Leadership's profitability report shows providers who adopted service desk automation earlier are now earning more per wage dollar, compounding their advantage. The practical implication for MSPs and IT service providers is to identify which client budget categories are “filling” and adjust offerings toward data readiness, AI deployment, and managed accountability, rather than defending legacy categories now facing structural decline. Failure to adapt exposes firms to revenue erosion and intensifies competitive risk from providers aligned with relocated client spend.   00:00 Watch the Money Move  04:37 AI Spend Is Funded by Substitution  07:19 Your Revenue Mix Is the Bet 10:24 Why Do We Care?  Supported by:  Guardz ScalePad 

This week on Autonomy Signals, Grayson Brulte and Rob Grant discuss Baidu's Apollo Go robotaxi expansion in Hong Kong, the first combat strike using Saronic autonomous vessels on an Iranian naval base, and autonomous drones mapping volcanic gas clouds off the coast of Sicily.Hong Kong issued Baidu three pilot licenses covering 50 vehicles and cleared cross-district driverless trials using its sixth-generation RT6 robotaxis. The city-state's right-hand drive, left-side traffic system turns it into a proving ground for Japan, the UK, Singapore, and Australia, advancing China's Autonomous Belt and Road Initiative and setting up Baidu to export validated autonomy into left-side traffic markets.On July 12, 2026, US Central Command (CENTCOM) executed the first ever combat strike using unmanned surface vessels, deploying three Saronic-built Corsair vessels against Iran's Bandar Abbas Naval Base. The strike marks a doctrinal shift in naval warfare, altering the cost-exchange calculus of maritime conflict as tier one primes reposition themselves as mission integrators and treat autonomous hulls as expendable peripherals to their combat systems.Closing out the show, Grayson and Rob discuss researchers at the Technical University of Munich deploying an autonomous drone on the Italian island of Vulcano to map volcanic gas concentrations at a 5% margin of error, eliminating the need to fly into corrosive plumes.Episode Chapters0:00 KPMG Sponsor Introduction01:34 Signal 1: Baidu's Apollo Go Expansion in Hong Kong18:55 Signal 2: First Autonomous Maritime Combat Strike37:16: Signal 3: Autonomous Drones Mapping Volcanic Gas CloudsFollow The Road to Autonomy Indices--------About The Road to AutonomyThe Road to Autonomy is the leading applied intelligence platform covering the convergence of automation, autonomy, and the Autonomy Economy.™.Through our podcasts, newsletter, and proprietary applied intelligence, we set the narrative for institutional investors, industry executives, and policymakers navigating the convergence of automation, autonomy, and economic growth.Join institutional investors and industry leaders who read This Week in The Autonomy Economy every Sunday. Each edition delivers exclusive insight and commentary on the autonomy economy, helping you stay ahead of what's next.Sign up for This Week in The Autonomy Economy newsletterSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Signal vs Noise: Jackson Mikalic, Michael Tanguma, Liam Nelson, and Brian Cubellis dig into 96% odds the Fed holds rates flat, a Ramp report showing AI-heavy firms are hiring not firing, a survey where 69% of Americans want OpenAI and Anthropic to give up half their stock, and shocking data on AI companions, with 72% of teens reporting a romantic relationship with AI and marriage rates at a 120-year low.---

Außerdem: Quarks - Mal angenommen - Was machen die? (10:17) Mehr spannende Themen wissenschaftlich eingeordnet findet ihr hier: www.quarks.de // Habt ihr Feedback, Anregungen oder Fragen, die wir wissenschaftlich einordnen sollen? Dann meldet euch über Whatsapp oder Signal unter 0162 344 86 48 oder per Mail: quarksdaily@wdr.de. Von Ina Plodroch.

AEMC commissioner Rainer Korte on what the new rules on reporting and data sharing will mean to the consumer energy revolution. Plus: news of the week.

A bi-weekly news show informing you on the latest in Bitcoin, privacy and open source tech hosted by Ungovernables, Max and Q. AOBEnvoy 2.3.0Full 2.3.0 out of beta: redesigned Send flow with inter-account transfers, message signing, Address Explorer, sub-satoshi fee rates, QR-density adjustment for Passport signing.Passport Prime 1.3.0-betaVault imports, BIP85 passwords, mass 2FA imports, universal QR scanner and loads of bug fixesVisual improvements to the docs siteApp showcase is now liveNEWSEU "Chat Control" — scanning derogation survives Parliament, permanent client-side-scanning law stalls again - TFTC: EU Chat Control, private message scanning, and Bitcoin's open protocols / Patrick Breyer: Chat ControlRadar Chat launches: a Signal fork with self-custodial Lightning payments built in - Decrypt: Radar Chat wants to make sending Bitcoin as easy as firing off a text / Atlas21Bull Bitcoin sues the French Finance Ministry over DAC8/CARF crypto surveillance reporting - The Rage: French Finance Ministry sued over global surveillance databaseMiCA deadline forces a self-custody exodus: ~70% of departing Binance EU users chose self-custody over a licensed exchange - Blockonomi: Binance reveals 70% of EU users chose self-custody after MiCA / CoinDesk: Binance to stop EU services after failing to secure MiCA licenceCLARITY Act developer safe-harbor (BRCA / Section 604) goes to the wire as Wyden fights to keep it intact - TFTC: Wyden, CLARITY Act, Section 604 developer safe harbor / Coin Center: The BRCA survived CLARITY's markup, do not give it up nowBIP-110 data-filtering soft fork heads for its deadline with miner signaling near zero - CoinDesk: Bitcoin's BIP-110 fork deadline nears with miner support at zero / Bitcoin Optech #412RELEASESBitcoin core / protocolBitcoin Core 30.3 - 2026-07-10Point release on the current 30.x line. Grab binaries from bitcoincore.org (deterministic + signed), not GitHub attachments.Bitcoin Core 29.4 - 2026-07-10Maintenance release keeping the older stable branch patched for sovereign self-hosters.Hardware / signingSeedSigner 0.8.7 "Summer of SeedSigner" - 2026-07-0880 PRs from 20 contributors: localization to 22 languages (first RTL language, Persian), BBQr PSBT decoding, and a big codebase professionalization pass. Airgapped DIY signing for a much wider audience.BitBox02 Firmware 9.26.4 - 2026-07-09Small fix following the 9.26.3 security batch (out-of-bounds write fix, silent-payments and EIP-712 validation hardening). Paired with BitBoxApp 4.51.3.LightningCore Lightning 26.06.3 - 2026-07-09Latest in-window CLN (a coincurve dep bump in pyln-proto superseded 26.06.2 from 06-30).lnd 0.20.2-beta - 2026-07-10Maintenance release on the 0.20 branch, no migrations, built with go1.25.5. Follows the zero-timestamp DoS fix discussed last episode.LNbits 1.5.5 - 2026-07-08Revolut + Square payment options, better payment reliability across backends, faster theming, cached rates, improved CSV exports and OIDC/SSO fixes. (A same-day 1.5.6 followed.)Zeus 13.1.2 - 2026-07-02Bug fixes and UX polish: pasteable amount input, copy Lightning address, UTXO-picker label and LND address-generation fixes.EcashCashu TS 4.7.0 - 2026-07-09LTS release for the JS/TS Cashu library: NUT-29 batch quote checks plus fixes for malformed tokens and NUT-28 locking slots. Foundation layer for ecash wallets/mints.Cashu CDK 0.17.2 - 2026-06-29Exposes NUT-27 mint backup through the wallet bindings; Android 16KB page-size and Swift compatibility. (A 0.17.3 with NIP-47/NWC support shipped 07-13.)On-chain privacy / coinjoinAshigaru Desktop 1.1.0 - 2026-07-11Major redesign: dedicated Whirlpool mixing experience, private Electrum server discovery over Tor, card-based UTXO views with PayNym support, and a Whirlpool Stats tool. Post-Samourai sovereign coinjoin keeps shipping (this is a 1.0 -> 1.1 jump from last episode's launch).Wasabi Wallet 2.8.0 - 2026-06-27 [borderline, grace window]P2P sync of compact block filters (drops the central-server dependency), pay-in-coinjoin, sub-1 sat/vByte fees, payment batching, and arm64 Linux/Tails/Whonix support.P2P / no-KYCBull Bitcoin 6.12.8 - 2026-07-11Coins (UTXO) view, Coldcard NFC support, BitBox02 Nova Bluetooth on iOS, sub-1 sat/vByte fees, and swap recovery via mnemonic. Self-custody + non-KYC buy/sell.Aqua Wallet 0.5.1 - 2026-07-07OpenCryptoPay QR compatibility, broader LNURL support, more reliable Lightning via direct Boltz broadcasting.Bisq 1.10.3 - 2026-07-06Security update: disables filter-provided BTC nodes, hardens deposit-tx checks, and requires message signatures from the expected trade peer.Mostro Mobile 1.3.0 - 2026-07-03Transport-protocol v2 migration and more African payment methods (KES, MZN, TZS, UGX, ZAR, ZMW). Nostr-native P2P Bitcoin trading, no KYC.BasicSwap DEX 0.17.0 - 2026-07-09Cross-chain atomic-swap DEX. (A 0.17.1 patch followed 07-12.)Arkade 0.9.13 - 2026-07-07Small indexer fix. Ark self-custodial off-chain scaling.Self-hosting / infraumbrelOS 1.7.4 - 2026-07-10Fixes connectivity where remote access over Tor and Tor-using apps could fail to connect.StartOS start-wrt 1.0.0 - 2026-07-11First stable release of StartWRT, Start9's OpenWrt-based router OS. Sovereign networking layer to pair with a self-hosted server.Nostrngit-cli 2.6.3 - 2026-07-10ngit init now gives actionable account-setup guidance. Git-over-Nostr tooling, directly relevant to the GitHub-exodus / censorship-resistant-code thread.EDUCATIONEvolving Casa's Defenses Against Social Engineering -Practical writeup on how attackers social-engineer Bitcoin holders and how to defend. Pairs directly with the Lopp voice item for a self-custody-security segment listeners can act on.Bitcoin Privacy Tools Compared: CoinJoin vs PayJoin vs Silent Payments -Clean side-by-side of the main on-chain privacy techniques. Good "where do I actually start" pointer, topical given the Ashigaru and Wasabi releases and the ongoing Silent Payments rollout (BIP 352 reached Complete and the secp256k1 module merged in June; Sparrow shipped SP receiving last fortnight).Cove Wallet tutorial (BTC Sessions) -BTC Sessions walkthrough of the Cove wallet. Useful hands-on onboarding content if you want a "new self-custodian" education beat, which pairs with the MiCA self-custody-exodus news item.TO DONATE TO ROMAN'S DEFENSE FUND: https://freeromanstorm.com/donateHELP GET SAMOURAI A PARDONSIGN THE PETITION ----> https://www.change.org/p/stand-up-for-freedom-pardon-the-innocent-coders-jailed-for-building-privacy-tools DONATE TO THE FAMILIES ----> https://www.givesendgo.com/billandkeonneSUPPORT ON SOCIAL MEDIA ---> https://billandkeonne.org/VALUE FOR VALUEThanks for listening you Ungovernable Misfits, we appreciate your continued support and hope you enjoy the shows.You can support this episode using your time, talent or treasure.TIME:- create fountain clips for the show- create a meetup- help boost the signal on social mediaTALENT:- create ungovernable misfit inspired art, animation or music- design or implement some software that can make the podcast better- use whatever talents you have to make a contribution to the show!TREASURE:- BOOST IT OR STREAM SATS on the Podcasting 2.0 apps @ https://podcastapps.com- DONATE via Monero @ https://xmrchat.com/ugmf- BUY SOME STICKERS @ https://www.ungovernablemisfits.com/shop/FOUNDATIONhttps://foundation.xyz/ungovernableFoundation builds Bitcoin-centric tools that empower you to reclaim your digital sovereignty.As a sovereign computing company, Foundation is the antithesis of today's tech conglomerates. Returning to cypherpunk principles, they build open source technology that “can't be evil”.Thank you Foundation Devices for sponsoring the show!Use code: Ungovernable for $10 off of your purchaseCAKE WALLEThttps://cakewallet.comCake Wallet is an open-source, non-custodial wallet available on Android, iOS, macOS, and Linux.Features:- Built-in Exchange: Swap easily between Bitcoin and Monero.- User-Friendly: Simple interface for all users.Monero Users:- Batch Transactions: Send multiple payments at once.- Faster Syncing: Optimized syncing via specified restore heights- Proxy Support: Enhance privacy with proxy node options.

Robert Tatar war vier Jahre lang obdachlos. In dieser Folge von Erklär mir die Welt erzählt er seine Geschichte. Das Interview ist erstmals im Februar 2019 erschienen.Robert Tatar ist Produktmanager bei Shades Tours und war vier Jahre lang obdachlos. Zur Werbung: Jetzt Die Presse für 3 Monate für 3 EUR testen auf diepresse.com/erklärmirdiewelt mit dem Code "erklärmirdiewelt" ***Hilf wie 400+ andere Hörer:innen mit, den Podcast zu finanzieren. Danke an alle Unterstützer:innen. ***MACH DEN PODCAST BESSERSchick uns deine Fragen und Wünsche für EpisodenErzähl uns von dir! Mach bei der Hörer:innen-Befragung mit ***NÜTZLICHE LINKS Hier geht's zu unserem Partner paper republicBewirb dich als Hörer:in des MonatsHol dir Updates zum Podcast per E-Mail, Signal, WhatsApp oder TelegramFolge uns bei Instagram, Tiktok und FacebookAlle Folgen ab Mai 2023 gibt es mit Video auf YouTubeSchau im Merch-Shop vorbeiHier kannst du Werbung im Podcast buchenAndreas' Buch "Alles gut?!" darüber, was er im Kampf gegen Armut auf der Welt beitragen kann ***DAS TEAMMitarbeit: Valentina Pfattner und Thomas PelkmannVermarktung: Therese Illiasch und Stefan Lassnig (Missing Link)Audio- und Video: Andreas Fischer (Sisigrant)Logo und CI: Florian HalbmayrMusik: Something Elated by Broke For Free, CC BYBeatbox am Ende: Azad Arslantas

Aiußerdem: Gute Schwangerschaft - Spielen Männer dabei auch eine große Rolle? (10:30) Mehr spannende Themen wissenschaftlich eingeordnet findet ihr hier: www.quarks.de // Habt ihr Feedback, Anregungen oder Fragen, die wir wissenschaftlich einordnen sollen? Dann meldet euch über Whatsapp oder Signal unter 0162 344 86 48 oder per Mail: quarksdaily@wdr.de. Von Ina Plodroch.

What began as Issa Vibe was a declaration: anti-bad vibes, good vibes only. It was about protecting energy, choosing positivity, and creating spaces where people could feel free. But growth has a way of calling us higher. Soul Frequency is the evolution of that vision. As a DJ and producer, I've learned that music is more than entertainment, it is energy, communication, and transformation. The sounds we create, the frequencies we share, and the connections we build all shape who we become. This rebrand represents evolution on every level: mental, through expanding perspective and purpose; physical, by putting action behind the vision; and spiritual, by aligning with the frequency that was always meant for me. Soul Frequency is not just a name, it is a reminder that we are all broadcasting something into the world. My mission is to broadcast love, culture, rhythm, healing, and connection through every set, every production, and every interaction. The vibe didn't disappear; it evolved into a frequency. **SOUL FREQUENCY** **Broadcasting Good Energy Through Music, Culture & Connection.** ---------- Follow Namo Maitri ◊ https://soundcloud.com/namomaitri ◊ http://tinyurl.com/yvt2ksrm ---------- Follow MSYH.FM » http://MSYH.FM » http://x.com/MSYHFM » http://instagram.com/MSYH.FM » http://facebook.com/MSYH.FM » http://patreon.com/MSYHFM ---------- Follow Make Sure You Have Fun™ ∞ http://MakeSureYouHaveFun.com ∞ http://x.com/MakeSureYouHave ∞ http://instagram.com/MakeSureYouHaveFun ∞ http://facebook.com/MakeSureYouHaveFun ∞ http://youtube.com/@MakeSureYouHaveFun ∞ http://twitch.tv/@MakeSureYouHaveFun

Legendary filmmaker Robert Greenwald joins Gaslit Nation to talk about his powerful documentary from Brave New Films, Gaza: Journalists Under Fire. We break down the horrifying media consolidation driven by Netanyahu-ally , billionaire Larry Ellison, who is actively dismantling beloved institutions like CBS to enforce a McCarthyist, pro-Netanyahu chill on American journalism. We also expose how Trump and Jared Kushner have dragged the US into an illegal, unconstitutional war with Iran, draining vital air defense systems for Ukraine, while Trump's ICE agents go on a killing spree, openly executing parents in front of their children, and expanding their network of concentration camps at home and abroad. As always, Gaslit Nation also provides ways to fight back and plant powerful seeds of hope and change—because we will ultimately build a better world. This week's bonus show, for our listeners on Patreon and Substack who make Gaslit Nation possible, explores who is actually running the new kleptocratic new world order. To hear the full exclusive bonus show at the end of this episode join our community on Patreon or Substack today at the Truth-teller ($5/month) or higher. Discounted annual memberships are available, and you can give the gift of membership. Plus you'll get the show ad free, all bonus shows including our archive of bonus shows, invites to exclusive events, and more. Sign up at Patreon.com/Gaslit or on Substack. Thank you to everyone who supports the show -- we could not make Gaslit Nation without you.    EVENTS AT GASLIT NATION: Gaslit Nation Salons take place Mondays 4pm ET over Zoom and are recorded and shared on Patreon.com/Gaslit and GaslitNation.Substack.com for our community New! There's now a California Signal Group for Gaslit Nation listeners to find each other and connect in that state. Join on Patreon or Substack! The Gaslit Nation Outreach Committee discusses how to talk to the MAGA cult: Join on Patreon or Substack! Minnesota Signal group for Gaslit Nation listeners in the state to find each other: Join on Patreon or Substack! Vermont Signal group for Gaslit Nation listeners in the state to find each other: Join on Patreon or Substack! Arizona-based listeners launched a Signal group for others in the state to connect. Join on Patreon or Substack! Indiana-based listeners launched a Signal group for others in the state to join. Join on Patreon or Substack! Florida-based listeners are going strong meeting in person. Be sure to join their Signal group. Join on Patreon or Substack! As always, keep it kind in our chat groups, extend grace and assume good faith. A culture of care is how we build a better world.  Show Notes: WATCH: Gaza: Journalists Under Fire https://www.bravenewfilms.org/palestinianjournalists Protect yourself and your community from ICE: https://www.patreon.com/gaslit/posts/free-prairieland-162794130?utm_medium=clipboard_copy&utm_source=copyLink&utm_campaign=postshare_creator&utm_content=join_link Meet Josh Gruenbaum and Aryeh Lightstone of the Board of Peace: https://boardofpeace.org/members Fight back with the Gaslit Nation Action Guide on GaslitNationPod.com and the Media and Democracy Project (https://www.mediaanddemocracyproject.org/) and also Rise and Resist (https://www.riseandresist.org/)  Famine confirmed for first time in Gaza https://www.who.int/news/item/22-08-2025-famine-confirmed-for-first-time-in-gaza 209 Journalists and Media Workers Killed in Israel and the Occupied Palestinian Territory https://cpj.org/2026/06/cpj-undertakes-review-of-its-documentation-of-journalists-killed-in-israel-gaza-war-since-2023/ Amnesty UK draws criticism for arguing journalist death toll in Gaza higher than in any other war https://www.jpost.com/israel-news/article-864300 ICE Ordered to Cease Most Vehicle Stops After 2 Killings in a Week: Agents fatally shot a man in Houston and another in coastal Maine, both in their vehicles. The killings were the latest in a string of ICE shootings during President Trump's second term. https://www.nytimes.com/2026/07/14/us/ice-agents-traffic-stops.html?unlocked_article_code=1.xlA.K8PG.HyO51Npt7m7m&smid=url-share  E. Jean Carroll Receives Trump's $5 Million Judgment Plus Interest https://www.reuters.com/world/us/ E Jean Carroll receives $5.6m owed by Trump after court releases damages https://www.theguardian.com/us-news/2026/jul/14/e-jean-carroll-trump-payment ICE Suspends Vehicle Stops After Fatal Shootings in Maine and Texas https://www.reuters.com/world/ice-suspends-vehicle-stops-us-immigration-enforcement-sources-say-2026-07-14/ ICE Officer Fatally Shoots Driver in Biddeford, Maine  https://www.reuters.com/world/us/person-killed-ice-involved-shooting-maine-media-reports-2026-07-13/ What to Know About ICE's Fatal Shooting of Lorenzo Salgado Araujo in Houston https://apnews.com/article/7f8b3218b97c63388fc016b3da9718ee Trump Abandons Proposed 20-Percent Strait of Hormuz Fee https://www.reuters.com/world/us/trump-says-us-will-take-investment-deals-with-gulf-states-instead-fee-using-2026-07-14/ Trump Announces U.S. Control and Proposed Toll on the Strait of Hormuz  https://www.reuters.com/world/middle-east/trump-says-us-will-control-strait-hormuz-get-paid-it-2026-07-13/ Associated Press Fact Check: Competing U.S. and Iranian Claims Over the Strait of Hormuz https://apnews.com/article/8df557699c900b29fb33172e6da7f3e9 Lindsey Graham's Final Mission to Support Ukraine https://www.wsj.com/world/lindsey-graham-death-ukraine-russia-81ccfe7f Committee to Protect Journalists: Journalists Killed in the Israel–Gaza War https://cpj.org/2026/ Record Number of Journalists and Media Workers Killed in 2025  https://www.reuters.com/business/media-telecom/record-129-journalists-media-workers-killed-2025-mostly-by-israel-says-cpj-2026-02-25/ Israel Schedules National Election for October 27, 2026  https://www.reuters.com/world/middle-east/israels-election-will-be-held-october-27-coalition-head-says-2026-07-12/ Maggie Haberman & Jonathan Swan - On "Regime Change" & Inside The Trump Presidency | The Daily Show https://www.youtube.com/watch?v=xdmdGTrJ2nI How Trump Took the U.S. to War With Iran: In a series of Situation Room meetings, President Trump weighed his instincts against the deep concerns of his vice president and a pessimistic intelligence assessment. Here's the inside story of how he made the fateful decision. https://www.nytimes.com/2026/04/07/us/politics/trump-iran-war.html?unlocked_article_code=1.xlA.RnIs.VnaiNfmBkDie&smid=url-share Iran Strikes U.S. Military Facilities Across Gulf Region: A Times analysis of satellite imagery and verified videos shows Iran found vulnerabilities in U.S. locations in the region.  https://www.nytimes.com/2026/03/01/world/middleeast/iran-strikes-us-military-facilities.html?unlocked_article_code=1.xlA.W64r.SKCZ8fldvUxu&smid=url-share What's Trump's 'Board of Peace' really about? https://www.cbc.ca/listen/cbc-podcasts/209-front-burner/episode/16193683-whats-trumps-board-of-peace-really-about 32 Palestinians killed trying to reach food distribution hubs, Gaza authorities say https://www.npr.org/2025/07/19/g-s1-78420/palestinians-food-aid-deaths Trump notifies Congress of new war against Iran President Donald Trump's notification that the U.S. is again at war with Iran gives the administration another 60-day clock for military action. https://www.politico.com/news/2026/07/13/trump-notifies-congress-of-new-war-against-iran-00995170 Iraq journalist deaths match number killed during Vietnam War https://cpj.org/2006/05/iraq-journalist-deaths-match-number-killed-during/ Andrea's interview with Alex Gibney and Alexis Bloom of the must-watch documentary The Bibi Files https://www.gaslitnationpod.com/episodes/hitler-youth/ Trump's Crypto Scheme to Sell Ukraine to Russia https://www.patreon.com/gaslit/posts/trumps-crypto-to-144034868?utm_medium=clipboard_copy&utm_source=copyLink&utm_campaign=postshare_creator&utm_content=join_link New book reveals how Trump compared himself to Mao, Stalin, Attila the Hun https://www.cnn.com/2026/06/18/politics/new-book-reveals-how-trump-compared-himself-to-mao-stalin-atilla-the-hun Marco Rubio: "Actually, the Board of Peace was chartered and set up by the UN Security Council through a vote at the UN Security Council as to deliberations, so it's an international organism recognized by the Security Council of the United Nations, which is something I think many of you should be supportive of..." https://x.com/StateDept/status/2016582608377749629?lang=en What the UN Security Council vote means for Trump's Gaza peace plan https://abcnews.com/International/security-council-vote-means-trumps-gaza-peace-plan/story?id=127623162  

Re-Air Date: 7-14-2026 Original Air Date: 6-7-2024 Banning abortion is wildly unpopular and also one of the primary motivators for the group most strongly supporting the Republican Party and Donald Trump, the Christian Right, which has transformed both the party and politicians into extremists made in their own image, threatening the lives and health of millions and sacrificing democracy in the process. Direct Download Transcript Be part of the show! Leave a voice message, message us on Signal at the handle bestoftheleft.01, or email Jay@BestOfTheLeft.com BestOfTheLeft.com/Support (Members Get Bonus Shows + No Ads!) Use our links to shop Bookshop.org and Libro.fm for a non-evil book and audiobook purchasing experience! Join our Discord community! KEY POINTS KP 1: Abortion and Reproductive Rights - Lectures in History - Air Date 3-16-24 KP 2: Abortion and the erosion of privacy - The Weeds - Air Date 4-10-24 KP 3: Digital surveillance and reproductive rights - Technically Optimistic - Air Date 5-15-24 KP 4: Anti-abortion hardliners want restrictions to go farther. It could cost Republicans - Consider This - Air Date 5-23-24 KP 5: Abortion and Reproductive Rights Part 2 - Lectures in History - Air Date 3-16-24 KP 6: Rakeen Mabud on Greedflation, Rachel K. Jones on Mifepristone - CounterSpin - Air Date 4-5-24 KP 7: Abortion and the erosion of privacy Part 2 - The Weeds - Air Date 4-10-24 KP 8: Digital surveillance and reproductive rights Part 2 - Technically Optimistic - Air Date 5-15-24 (56:09) NOTE FROM THE EDITOR On the abuse produced by abortion restrictions DEEPER DIVES (01:01:35) SECTION A: CRIMINALIZING ABORTION A1: Abortion and Reproductive Rights Part 3 - Lectures in History - Air Date 3-16-24 A2: Digital surveillance and reproductive rights Part 3 - Technically Optimistic - Air Date 5-15-24 A3: Abortion and the erosion of privacy Part 3 - The Weeds - Air Date 4-10-24 (01:20:04) SECTION B: ABORTION EXTREMISM OF THE REPUBLICAN PARTY B1: Texas Republicans Want To Execute Women Who Defy Them - Thom Hartmann Program - Air Date 5-30-24 B2: Why Trumps Abortion Video Needs Some Follow-Up Questions - Brian Lehrer: A Daily Politics Podcast - Air Date 4-9-24 (01:35:45) SECTION C: ABORTION IN THE LEGAL SYSTEM C1: Abortion and Reproductive Rights Part 4 - Lectures in History - Air Date 3-16-24 C2: Abortion and the erosion of privacy Part 4 - The Weeds - Air Date 4-10-24 C3: Why Trumps Abortion Video Needs Some Follow-Up Questions Part 2 - Brian Lehrer: A Daily Politics Podcast - Air Date 4-9-24 (01:52:57) SECTION D: WHAT IS THERE TO DO? D1: Digital surveillance and reproductive rights Part 4 - Technically Optimistic - Air Date 5-15-24 D2: NJ Rep. Mikie Sherrill On Abortion Nationwide, And Campus Protests In Her District - Brian Lehrer: A Daily Politics Podcast - Air Date 5-1-24 D3: Rakeen Mabud on Greedflation, Rachel K. Jones on Mifepristone Part 2 - CounterSpin - Air Date 4-5-24 D4: Digital surveillance and reproductive rights Part 5 - Technically Optimistic - Air Date 5-15-24 MUSIC (Blue Dot Sessions) SHOW IMAGE:  Description: A person dressed in a red cape and white conical bonnet with a red sash over their nose and mouth (referencing the Handmaid's Tale) stands outside the U.S. Supreme Court at dusk holding a cardboard sign with the words "This is NOT fiction." Credit: Photo by Tyler Merbler, Flickr | License: CC BY 2.0 | Changes: Cropped   Produced by Jay! Tomlinson Visit us at BestOfTheLeft.com Listen Anywhere! BestOfTheLeft.com/Listen Follow BotL: Bluesky | Mastodon | Threads | X Like at Facebook.com/BestOfTheLeft Contact me directly at Jay@BestOfTheLeft.com

Joseph Sternberg examines Germany's economic struggles under Chancellor Friedrich Merz, including a shift toward deregulation and infrastructure borrowing. Massive layoffs at Volkswagen signal the end of traditional "lifetime employment." Merz faces political challenges from Social Democrats who resist aggressive free-market changes. (7)1839 RHINELAND

July 14th, 2026 Follow us on Facebook, Instagram and X Listen to past episodes on The Ticket’s Website And follow The Ticket Top 10 on Apple, Spotify or Amazon MusicSee omnystudio.com/listener for privacy information.

Tired But Wired? How to Regulate Your Nervous System and Calm AnxietyAre you exhausted, bone-tired, and yet the moment your head touches the pillow, your mind lifts off? If you are feeling "tired but wired," unable to switch off, and living with a body that is constantly braced for a danger that never arrives, you are not failing at rest. You are experiencing a dysregulated nervous system stuck in a chronic fight or flight response.In this episode of Calming Anxiety, host Martin Hewlett guides you through a powerful 10-minute guided meditation for anxiety. Together, we will practice deep breathing techniques designed for nervous system regulation, helping you send a clear signal to your body that it is finally safe to relax and let go of stress.

Signal vs Noise: Jackson Mikalic, Michael Tanguma, Liam Nelson, and Brian Cubellis debate whether June's cooler-than-expected 3.5% CPI print is signal or noise, break down oil's surge on Middle East tensions, unpack the ultra-wealthy land-maxing trend reshaping Palm Beach real estate, react to New York's first-in-the-nation data center moratorium, and dig into Strategy's new Bitcoin Bank Adoption Index, where Fidelity leads at 71% and RBC trails at just 13%.---

Pourquoi certaines odeurs, certaines personnes ou certaines situations nous inspirent-elles un profond rejet ? Le dégoût est-il toujours instinctif ou peut-il être influencé par notre éducation et notre culture ?Dans cet épisode, nous plongeons dans cette émotion plutôt méconnue et essentielle à notre survie… Podcast produit en collaboration avec Angélique Gimenez https://www.anvisage.fr**********#242 Nos émotions sont nos alliées, # 246 La joie le secret d'un quotidien lumineux, #248 Décoder la peur, #253 la colère, un émotion mal comprise, #257 la tristesseRetrouvez le texte de l'épisode sur notre blog.En vous abonnant sur Itunes pour recevoir les notifications et en nous laissant un avis, vous nous envoyez des bulles de bonheur !En suivant notre actu sur FB @2minutesdebonheur et sur insta @2minutesdebonheur, vous profiterez gratuitement de pleins de trucs, d'astuces et de mises en pratique liés au podcast de la semaine.Inscrivez-vous à la newsletter, vous serez ainsi notifié de nos nouveaux épisodes et vous recevrez un bon de réduction de 5% sur notre site.Et surtout, partagez nos épisodes à tous ceux qui veulent prendre le temps d'être heureux !Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.

This week on Lost Terminal: Meg comes clean, Lyosha and Seth have a choice, and the workshop is taken over.Lost Terminal will return next week!

This summer, protesters connected to a demonstration outside the Prairieland ICE detention center in North Texas were sentenced to as much as 100 years in prison. It's the first case prosecuted under President Trump's National Security Presidential Memorandum 7, which targets "extremism on migration, race, and gender" and classifies antifa as a domestic terrorism organization. What's striking is the evidence: zines, Signal messages, hosting a book club. This week, we talk with Guardian reporter Lex McMenamin about what this case could mean for dissent going forward.See pcm.adswizz.com for information about our collection and use of personal data for sponsorship and to manage your podcast sponsorship preferences.NPR Privacy Policy

What if the pain your child carries began not at their birth, but at yours?Josh Trent welcomes Eyla Cuenca, Birth Trauma Alchemist and Doula, to the Wellness + Wisdom Podcast, episode 825, to explore why birth trauma lives in the body for decades, how unprocessed grief silently passes from mother to child across generations, and why the moment a woman stops making someone else the villain in her birth story is the moment real healing finally begins.In This Episode, Eyla Cuenca Uncovers:(03:50) How Generational Baggage Shapes Birth(09:25) Unconscious Agreements in Child Birth(14:20) Men's Role in Child Birth(20:45) The Dogma Of Free Birth(27:00) The Alchemy of Birth and Trauma Healing(30:00) From Trauma to Peace, Power, and Wisdom(36:15) Readiness Is the Signal(41:40) Pain Shouldn't Be Part of The Body(48:55) The Dangers of Ultrasound(57:35) Receiving Is the Lesson(01:01:55) The Man's Daily Death and Rebirth(01:08:15) The Third Entity within a Sacred Union(01:13:10) Learning from Your Children

Commercial real estate may be entering one of its most important buying windows in years. In this episode of Keeping It Real Estate, Dan Brisse explains why falling commercial property prices are creating new opportunities for disciplined investors. Using recent market data, he breaks down how higher interest rates are forcing sellers to adjust their expectations—and why that's beginning to create attractive entry points for buyers. Dan discusses the gap between buyers and sellers, why today's market looks very different from 2021, and how patience, strong underwriting, and disciplined investing can position investors for long-term success. He also shares why great opportunities rarely appear when everyone feels comfortable, but instead emerge when uncertainty is still high. If you're looking to better understand today's commercial real estate market and why experienced investors are paying close attention, this episode is for you. Learn more about Granite Towers Equity Group: www.granitetowersequitygroup.com/contact-us

Apple and OpenAI are no longer just competing in the AI lab. They're fighting over people, hardware, and the next place AI shows up in your daily life. We break down the allegations behind Apple's lawsuit, why the relationship shift matters, and what it signals for consumer AI devices like “AI-powered” accessories that promise smarter writing and faster work, but also raise new questions about ownership and trust.Then we get practical and weird in the best way: what's actually wrecking your Wi-Fi. Microwaves, mirrors, brick walls, winter weather, and yes, fish tanks can all drag down your signal. We talk through simple fixes you can do today, including router placement, height, and when a mesh network is worth it. If your video calls drop every time you heat up leftovers, you'll want this part.We also look at the future of automation with robots for rent, where “Robot as a Service” turns machines into subscriptions, and we spotlight the Music Cam Pro Kickstarter, a live camera headset built for recording, team communication, and streaming on the move. On the privacy front, we dig into Meta's AI pulling from public Instagram photos and how to opt out, then connect it to a real-world surveillance tech failure involving license plate recognition errors and a tense police stop. Finally, we cover New York's new courtroom ban on smart glasses and close with our whiskey advent calendar taste test as an American rye faces off against an Irish blend.Subscribe, share the show with a friend who loves tech and bourbon, and leave a review so more listeners can find us. What part of modern tech feels most out of control to you right now?Send us Fan MailSupport the show

Mentor Sessions Ep. 082: Matt Odell and Matt Hill discuss AI model security risks, self-hosting infrastructure, open source vs frontier models, and Bitcoin's role in digital sovereignty in 2026.AI's most powerful models are being quietly locked away by governments — and the cheap API access you're building your business on is a subsidized trap with an expiration date. Matt Odell and Matt Hill join BTC Sessions to unpack what's really happening at the intersection of AI, open source sovereignty, and Bitcoin freedom tech in 2026.You'll learn why the frontier model subsidy era is ending and who gets wrecked when prices normalize, how Start9 runs an entire company on a $200/month plan (and why that won't last), what Odell thinks about the deepfake phishing attack that nearly fooled Matt Hill live on a Zoom call, and why the open source AI arms race may be humanity's last real shot at digital independence. You'll also see how the Start9 router and self-hosted security camera are the trojan horses that bring sovereignty tech to people who've never heard of Bitcoin.⏱️ Timestamps:0:00 - Intro1:32 - AI model landscape and security risks2:15 - Start9 runs on $200 monthly Claude plan3:16 - AI subsidy trap and future pricing shock4:09 - Local inference versus frontier model tradeoffs7:32 - Odell on open source versus proprietary models9:28 - Why Anthropic and OpenAI withheld top models11:23 - Open source software and why control backfires13:36 - China's open source strategy in AI geopolitics18:47 - AI as intelligence of mass destruction risks21:26 - Regulation landscape in Canada UK and Australia27:01 - Operational security and AI-powered phishing threats27:44 - Deepfake Zoom attack that fooled Odell32:40 - Public key cryptography and verifiable identity39:02 - Signal messenger sovereignty case study43:55 - Do Bitcoiners lead digital sovereignty efforts45:05 - Relentless freedom fighters win revolutions55:42 - Drivers of Start9 adoption beyond Bitcoin nodes57:37 - AI as second reason for sovereign servers59:55 - Start9 sold Bitcoin to stockpile RAM1:06:16 - Start9 router for household sovereignty1:09:13 - Building the freedom router from first principles1:14:44 - AI as new interface replacing GUI era1:20:06 - Odell on open source compounding in Bitcoin1:25:56 - Tools to try PBC Maple Hermes LM Studio• Sovereign Sessions — AI, Privacy, and Bitcoin education: http://youtube.com/@SovereignSessions?sub_confirmation=1

Real power is shown through complete calm, not by proving myself or putting my strength on display. I stay steady under pressure because calm is controlled intensity with no leakage, not passivity. I don't need to announce who I am or what I've done because my presence sends the signal. Calm is the ultimate sign of power because it communicates strength without needing attention.  Show Notes: [04:54]#1 Calm energy signals that you are in control of yourself. [08:45]#2 Calm eliminates reactive behavior. [20:38]#3 Calm forces others to adjust. [25:08] Recap Next Steps: --- Execution is not a talent.   It is a standard. If your results don't match your ability, something in your approach is out of alignment. Most people do not have a motivation problem.   They have a consistency problem. Power Presence is the system for operating with greater discipline, clarity, structure, and execution under pressure. Learn more: → http://www.PowerPresenceProtocol.com  Know what to do but not always doing it?  Measure your execution at → http://RateMyExecution.com. Get Dre's free Daily Game email at http://WorkOnMyGame.com. Every day you'll receive one practical lesson on leadership, mindset, discipline, and execution to help you perform at a higher level. No fluff. Just game

How do you reach one of the youngest populations in the world with the hope of the gospel? In this episode of The Missions Show, Alex and Scott welcome Reuben Gitonga, a Kenyan ministry leader serving with ABWE. Reuben shares his remarkable journey from growing up in Nairobi to leading a ministry that uses soccer, discipleship, and local church partnerships to reach young people living in Kenya's underserved communities. The conversation explores the unique opportunities and challenges facing Kenya's next generation, where many young people struggle with poverty, fatherlessness, and limited access to biblical teaching. Reuben explains how sports open doors for long-term discipleship, education, and gospel-centered community, while sharing powerful stories of transformed lives. Key Topics Reuben's testimony and call to ministry in Kenya Reaching Kenya's youth through soccer, discipleship, and local churches Addressing poverty, education, and family brokenness with the gospel Stories of life transformation through his ministry A vision for gospel saturation and church planting across Kenya Support the work that Reuben is doing in Kenya. Pray or give to his ministry here: https://give.abwe.org/worker/0172621 Do you love The Missions Show? Have you been blessed by the show? Then become a Premium Subscriber! Premium Subscribers get access to: Exclusive bonus content A community Signal thread with other listeners and the hosts Invite-only webinars A free gift! Support The Missions Show and sign up to be a Premium Subscriber at missionsshow.com/premium The Missions Show is powered by ABWE. Learn more and take your next step in the Great Commission at abwe.org. Want to ask a question or suggest a topic? Email alex@missionsshow.com.

Air Date: 7/10/2026 Today we look at what it means to live in an economy that has quietly split in two with a soaring stock market driven by AI on one side, a collapsing job market on the other, and the subtle shift in the right to own things, from your music and movies to your car's software, which all underlie the slide toward technofeudalism. Full Show Notes Transcript Be part of the show! Leave a voice message, message us on Signal at the handle bestoftheleft.01, or email Jay@BestOfTheLeft.com BestOfTheLeft.com/Support (Members Get Bonus Shows + No Ads!) Use our links to shop Bookshop.org and Libro.fm for a non-evil book and audiobook purchasing experience! Join our Discord community! TOP TAKES KP 1: America Is Entering a New Socialist Era — and It Might Stick - The Recount - Air Date 6-30-26 KP 2: America's Job Market Is Collapsing - Max Fisher - Air Date 4-10-26 KP 3: The Richest Country Is Pretty Mid Now Part 1 - Benn Jordan - Air Date 6-28-26 KP 4: We Uncovered The Master Plan That Peter Thiel Doesn't Want You To See - More Perfect Union - Air Date 6-29-26 KP 5: The End Of Capitalism Is Here. - Second Thought - Air Date 6-5-26 (01:06:28) NOTE FROM THE EDITOR Humanity Is About to Be Optimized Out of Existence for the Sake of Profit My commentaries on YouTube - Share them! DEEPER DIVES (01:06:46) SECTION A: THE RISING LEFT A1: Trump's Speech At America 250 BACKFIRES, Sony Ends PHYSICAL MEDIA | Zaid Talks Part 1 - Zaid Tabani - Air Date 7-5-26 A2: Do Democrats F*ck Now? How Democratic Socialists Are Taking Over The Party - Some Some More News Clips and Some More News - Air Date 7-5-26 A3: How the Democratic Party Captures and Subverts Revolutionary Energy (with Kshama Sawant) - The Chris Hedges YouTube Channel - Air Date 6-29-26 A4: AI Is Losing and the Left Is Winning, with Brennan Lee Mulligan and Ed Zitron - Factually! with Adam Conover - Air Date 6-26-26 A5: Democrats Don't Know What "Affordability" Actually Means, with Dino Guastella - Factually! with Adam Conover - Air Date 6-24-26 (01:49:40) SECTION B: EVERYDAY EXTRACTION B1: The American Economy Is Broken—Here's Why - Established Context Part 1 - Air Date 4-13-26 B2: Why Owning Nothing Is So Expensive - Business Insider and Insider - Air Date 1-24-26 B3: NEW WARNING: Your Vehicle Can't Be FIXED After 2026 - Motor Feed - Air Date 6-28-26 B4: Trump's Speech At America 250 BACKFIRES, Sony Ends PHYSICAL MEDIA | Zaid Talks Part 2 - Zaid Tabani - Air Date 7-5-26 B5: Content Dot Mp4 - Thought Slime - Air Date 6-29-26 B6: Why American Airlines Stopped Making Money - Wendover Productions - Air Date 10-28-25 (02:51:16) SECTION C: THE RIGGED MACHINE C1: If the World Is F*cked... Why Are Stocks At Record Highs? - Lock Stock Finance - Air Date 6-18-26 C2: The Anti-Life or How Capitalism Will Die (with Math) - Literate Machine - Air Date 5-26-26 C3: The Richest Country Is Pretty Mid Now Part 2 - Benn Jordan - Air Date 6-28-26 C4: The American Economy Is Broken—Here's Why - Established Context Part 2 - Air Date 4-13-26 C5: Huge Polymarket Scandal - Voidzilla - Air Date 6-24-26 (03:36:27) SECTION D: THE RULING CLASS WORLDVIEW D1: The Real A.I. Problem No One Is Talking About (Who Buys Your Stuff, Robots_) - Josh Allan Dykstra - Air Date 1-13-26 D2: AI Is a Mass Psychotic Delusion - Science Fiction with Damien Walter - Air Date 6-20-26 D3: The Ruling Class Think Everything Is Disposable (Including the Planet) - Our Changing Climate - Air Date 7-3-26 D4: Stop Blaming Human Nature for Capitalism - Revolutionaryth0t - Air Date 1-28-26   Produced by Jay! Tomlinson Visit us at BestOfTheLeft.com Listen Anywhere! BestOfTheLeft.com/Listen Follow BotL: Bluesky | Mastodon | Threads | X Like at Facebook.com/BestOfTheLeft Contact me directly at Jay@BestOfTheLeft.com

Marty Bent talks with Seth For Privacy and Vik from Cake Wallet about Radar, a new Signal fork that adds self-custodial Bitcoin Lightning payments to private messaging. They cover why Signal was the right base, how Spark enables seamless UX without custody, the growing EU surveillance threat, vibe coding, AI privacy risks, and why freedom tech needs to compete on convenience. A deep dive on building privacy preserving tools that normal people actually want to use. Find the Home Mining Playbook here: https://www.tftc.io/home-mining-energy-playbook STACK SATS hat: https://tftcmerch.io/ Our newsletter: https://www.tftc.io/bitcoin-brief/ TFTC Elite (Ad-free & Discord): https://www.tftc.io/#/portal/signup/ Discord: https://discord.gg/yHGkvYxdqT Opportunity Cost Extension: https://www.opportunitycost.app/ Shoutout to our sponsors: Block: Cash App: For a limited time, new customers can get $21 added to their balance. Just use code TFTC10 when you sign up, and send at least $5 to a friend in the first two weeks. Terms apply. Bitcoin services by Block, Inc. See the Bitcoin disclosures at cash.app/legal/podcast. Square: Visit http://square.com/go/**tftc** for up to $200 off eligible Square hardware. Bitkey: Use code TFTC10 for 10% off the new Bitkey. Aven https://www.aven.com/bitcoin CrowdHealth https://www.joincrowdhealth.com/tftc Unchained https://unchained.com/tftc/ Salt of the Earth: https://drinksote.com/tftc Join the TFTC Movement: Main YT Channel https://www.youtube.com/c/TFTC21/videos Clips YT Channel https://www.youtube.com/channel/UCUQcW3jxfQfEUS8kqR5pJtQ Website https://tftc.io/ Newsletter tftc.io/bitcoin-brief/ Twitter https://twitter.com/tftc21 Instagram https://www.instagram.com/tftc.io/ Nostr https://primal.net/tftc Follow Marty Bent: Twitter https://twitter.com/martybent Nostr https://primal.net/martybent Newsletter https://tftc.io/martys-bent/ Podcast https://www.tftc.io/tag/podcasts/ Disclosure: Bitcoin services are provided by Block, Inc. Bitcoin services are not licensable activity in all U.S. states and territories, and not all services are available in all states. Bitkey is not available in New York. Block, Inc. operates in New York as Block of Delaware and is licensed to engage in virtual currency business activity by the New York State Department of Financial Services. Bitcoin is a non-deposit, non-bank product that is not FDIC insured and involves risk, including monetary loss. For additional information, see the Bitcoin disclosures: https://help.cash.app/btcdisclosures Get up to $200 off Square hardware when you sign up at http://square.com/go/tftc**!** #squarepartner. Offer expires December 31, 2026 at 11:59 pm PST. Offer for $40 off the cost of one Square Stand, $75 off the cost of one Square Terminal, $100 off the cost of one Square Handheld, or $200 off the cost of one Square Register, excluding applicable taxes. Limited to one discount per product type per seller account. Each code is limited to one redemption per account holder. Valid for new Square customers located in the US only. Offer not valid with guest checkout. Square reserves the right to modify, revoke or cancel the offer at any time. Offer cannot be combined with any other coupon. Void where prohibited, not redeemable for cash, and non-transferable. #squarepartner #blockpartner

Most of us know the internet isn't a particularly private place. Yet there's a certain feeling of anonymity that comes with sharing online — our words and stories mixed in with millions of others. It's easy to think no one is watching. But your data isn't just vulnerable to prying eyes. It's for sale. And the government is buying it up to keep a closer eye on you — and all of us. This week, hosts Amory and Ben take a chilling look at how our social media is used for surveillance with Dell Cameron, an investigative reporter with WIRED covering privacy and national security. ICE Wants to Build Out a 24/7 Social Media Surveillance Team (WIRED) Homeland Security Wants Social Media Sites to Expose Anti-ICE Accounts (The New York Times) ICE has spun a massive surveillance web. We talked to people caught in it (NPR) To reach Endless Thread on Signal: 646-456-9095 This episode was written and produced by Kalyani Saxena and co-hosted by Ben Brock Johnson and Amory Sivertson. It was edited by Dave Shaw and Meg Cramer. Mix and sound design by Marquis Neal

Happy birthday, America! Our democracy has been hijacked by a convicted criminal, sexual predator, Russian mafia goon. We are fighting back like Ukrainians: by rebuilding from the wreckage. That means forcing every single 2028 Democratic presidential hopeful to publicly commit to appointing a mob-busting Attorney General who will actually take on the mafia instead of emboldening it. This week, Allison Gill of MSW Media joins Andrea to discuss the catastrophic failures of Merrick Garland. We break down how to demand an AG who meets this moment, strategies to Trump-and-Putin-proof our democracy, and how to protect ourselves from the Christian nationalist terrorists on the Supreme Court. This week's bonus show is a special segment called All the President's Criminals, featuring Todd Blanche. Trump's personal defense attorney faces a confirmation hearing, to officially become Attorney General, before a pliant Republican Senate. To keep up with the Trump Family's' looting spree, we're now running our bonus shows as extended Tuesday shows, available in full to our listeners on Patreon, Substack, and YouTube members who make Gaslit Nation possible. It's because of you that we can continue to be a reality check, stay grounded in the truth, and deliver independent journalism that helps us rebuild and imagine the world we want to live in. Join our community of listeners and ad free listening, get bonus shows, group chats with other listeners, ways to shape the show, invites to exclusive events like our Monday salons at 4pm ET over Zoom, and more! Discounted annual memberships are available. Become a Democracy Defender at Patreon.com/Gaslit or Substack! EVENTS AT GASLIT NATION: Gaslit Nation Salons take place Mondays 4pm ET over Zoom and are recorded and shared on Patreon.com/Gaslit and GaslitNation.Substack.com for our community New! There's now a California Signal Group for Gaslit Nation listeners to find each other and connect in that state. Join on Patreon or Substack! The Gaslit Nation Outreach Committee discusses how to talk to the MAGA cult: Join on Patreon or Substack! Minnesota Signal group for Gaslit Nation listeners in the state to find each other: Join on Patreon or Substack! Vermont Signal group for Gaslit Nation listeners in the state to find each other: Join on Patreon or Substack! Arizona-based listeners launched a Signal group for others in the state to connect. Join on Patreon or Substack! Indiana-based listeners launched a Signal group for others in the state to join. Join on Patreon or Substack! Florida-based listeners are going strong meeting in person. Be sure to join their Signal group. Join on Patreon or Substack! As always, keep it kind in our chat groups, extend grace and assume good faith. A culture of care is how we build a better world.  Show Notes: 1,200+ Former DOJ Employees Oppose Todd Blanche's Nomination https://www.thejusticeconnection.org/1200-former-doj-employees-oppose-todd-blanches-nomination/ Jack Smith testimony: Full opening statement on Trump probes https://www.youtube.com/watch?v=tuewjQuaWF0 Jack Smith, in his first interview since resigning as Special Counsel: https://www.youtube.com/shorts/WxaXkDfZkpw The World Must Stand Up to Trump's America: The Elie Mystal Interview  https://gaslitnation.libsyn.com/the-world-must-stand-up-to-trumps-america Exclusive: Woman who dated Graham Platner says he sexually assaulted her https://www.politico.com/news/2026/07/06/graham-platner-sexual-assault-allegation-00987737 To date, the DOJ has published around half of the Epstein files: https://www.thedailybeast.com/donald-trumps-acting-attorney-general-todd-blanche-tries-to-dodge-further-release-of-jeffrey-epstein-files/ DOJ alums call on senators to reject Blanche nomination as attorney general https://thehill.com/homenews/administration/5956374-blanche-nomination-faces-opposition/ Trump Installs Top Justice Dept. Official at Library of Congress, Prompting a Standoff: The president named Todd Blanche, the deputy attorney general, as the acting librarian. But staff members refused access to two department officials he chose for key roles at Congress's main research arm. https://www.nytimes.com/2025/05/12/us/politics/trump-library-of-congress.html Immigrant Arrests Surge to 10,000 in 5 Days as ICE Clamps Down: The agency has doubled its daily arrest numbers without the fanfare of last year's large urban operations, sowing fear in immigrant communities: "Markwayne Mullin, the homeland security secretary, pledged to mount a quieter enforcement campaign following the chaos of a monthlong operation in Minnesota, where federal officers killed two U.S. citizens." https://archive.ph/wFIYV#selection-4627.0-4631.144 Tennessee national guard troops shoot man dead in Memphis: Authorities claim Tyrin Johnson, 20, pulled gun on officers controversially deployed at instigation of Trump https://www.theguardian.com/us-news/2026/jul/06/memphis-national-guard-troops-shoot-man Todd Blanche is a surprisingly competent lawyer. And he's on track to keep his client out of jail until the election. https://web.archive.org/web/20260413020342/https://nymag.com/intelligencer/article/trump-trial-lawyer-todd-blanche-defense.html US justice department halts funding for human-trafficking survivors https://www.theguardian.com/us-news/2025/dec/22/justice-department-human-trafficking-survivors-support-funding Thousands of agents diverted to Trump immigration crackdown https://www.reuters.com/world/us/thousands-agents-diverted-trump-immigration-crackdown-2025-03-22/ Who is Boris Epshteyn, the controversial aide by Trump's side in court https://thehill.com/regulation/court-battles/3936390-who-is-boris-epshteyn-the-controversial-aide-by-trumps-side-in-court/ How Todd Blanche Climbed the Ranks in Trumpworld to Acting Attorney General https://www.notus.org/trump-white-house/how-todd-blanche-climbed-the-ranks-in-trumpworld-to-acting-attorney-general-pam-bondi Todd Blanche Is About to Face the Senate. https://www.youtube.com/watch?v=-B9uLK_32To Library of Congress official Trump tried to fire can keep her job for now, Supreme Court says https://www.cnn.com/2026/06/30/politics/supreme-court-allows-library-of-congress-official-trump-tried-to-fire-to-keep-her-job John Solly Is the DOGE Operative Accused of Planning to Take Social Security Data to His New Job https://www.wired.com/story/john-solly-doge-operative-accused-social-security-data-leidos/ Alex Karp Has Money and Power. So What Does He Want? https://www.nytimes.com/2024/08/17/style/alex-karp-palantir.html?smid=url-share