Podcasts about Thiel

────────────────────────────────────────[00:01:03]Flock Is the Eyes, Data Centers Are the Brain, ICE Is the Hands — Trump's Order Calls Them Military InstallationsCameras, AI processing centers, and unidentified federal police are the three components of the domestic police state; Knight: for once that liar is telling the truth.────────────────────────────────────────[00:41:00]Flock Whistleblower Explains How to Remove a Camera — Company Is Brute-Forcing Installation Before IPOCut the cable and police are dispatched immediately; CEO admitted they install as fast as possible to inflate valuation before going public.────────────────────────────────────────[00:46:28]The Camera Is Not the Issue — the Network Is the Warrantless SearchEach camera is just the eye; the network maps your movements and makes that data available across municipalities without a warrant.────────────────────────────────────────[00:50:17]Flock Has Raised Nearly $1 Billion — From Andreessen Horowitz, Thiel's Founders Fund, and Y CombinatorBrute-force scale before an IPO is the business model; the same VC firms behind the surveillance state finance the AI data centers.────────────────────────────────────────[00:52:25]Blackburn's Kids Online Safety Act Uses the Same Justification as Flock — Protect Kids by Surveilling EveryoneTo protect kids, you make everyone prove their identity; then strip parents away so they can't protect their children and place kids with predators.────────────────────────────────────────[01:19:41]China Built Its Panopticon Through State Planning — America Built It Through HOA Fees, Municipal Contracts, and App Terms of ServiceCommercially disguised and less centralized; identical to China's result but responsibility is diffused and the Bill of Rights bypassed.────────────────────────────────────────[01:24:08]Harvey Silverglate: Most People Commit Three Felonies a Day — Flock Ensures None Go UndetectedThe law is so complex compliance is impossible; license plate surveillance makes every technical infraction observable and actionable.────────────────────────────────────────[01:27:59]142 Anti-Data-Center Protests Across 42 States Last Saturday — 86% of Americans Oppose Them in Their NeighborhoodsThe immediate concerns are real but secondary; the surveillance state purpose is the core issue protesters must not miss.────────────────────────────────────────[01:56:43]ICE Agents and Criminal Kidnappers Are Now Indistinguishable — Masked, No ID, No Uniform, Unmarked Vehicle, Camo PantsWhether it is an ICE agent or a criminal kit, the description is identical; the only difference is one calls itself the government.────────────────────────────────────────[01:57:45]McConnell Continues to Improve — Knight Compares It to SNL's Running Joke About Franco Being Valiantly DeadEMS veteran Andy: anyone found in that condition is either brain dead or dead; keeping a presumably dead man in office is a hallmark of authoritarian regimes. ──────────────────────────────────────── Money should have intrinsic value AND transactional privacy: Go to https://davidknight.gold/ for great deals on physical gold/silver For 10% off Gerald Celente's prescient Trends Journal, go to https://trendsjournal.com/ and enter the code “KNIGHT” For high quality made in America products go to HomeSteadProducts.shop and use promo code “Knight” for 10% off your purchases Find out more about the show and where you can watch it at TheDavidKnightShow.com If you would like to support the show and our family please consider subscribing monthly here: SubscribeStar https://www.subscribestar.com/the-david-knight-show Or you can send a donation throughMail: David Knight POB 994 Kodak, TN 37764Zelle: @DavidKnightShow@protonmail.comCash App at: $davidknightshowBTC to: bc1qkuec29hkuye4xse9unh7nptvu3y9qmv24vanh7Become a supporter of this podcast: https://www.spreaker.com/podcast/the-david-knight-show--2653468/support.

────────────────────────────────────────[00:01:03]Flock Is the Eyes, Data Centers Are the Brain, ICE Is the Hands — Trump's Order Calls Them Military InstallationsCameras, AI processing centers, and unidentified federal police are the three components of the domestic police state; Knight: for once that liar is telling the truth.────────────────────────────────────────[00:41:00]Flock Whistleblower Explains How to Remove a Camera — Company Is Brute-Forcing Installation Before IPOCut the cable and police are dispatched immediately; CEO admitted they install as fast as possible to inflate valuation before going public.────────────────────────────────────────[00:46:28]The Camera Is Not the Issue — the Network Is the Warrantless SearchEach camera is just the eye; the network maps your movements and makes that data available across municipalities without a warrant.────────────────────────────────────────[00:50:17]Flock Has Raised Nearly $1 Billion — From Andreessen Horowitz, Thiel's Founders Fund, and Y CombinatorBrute-force scale before an IPO is the business model; the same VC firms behind the surveillance state finance the AI data centers.────────────────────────────────────────[00:52:25]Blackburn's Kids Online Safety Act Uses the Same Justification as Flock — Protect Kids by Surveilling EveryoneTo protect kids, you make everyone prove their identity; then strip parents away so they can't protect their children and place kids with predators.────────────────────────────────────────[01:19:41]China Built Its Panopticon Through State Planning — America Built It Through HOA Fees, Municipal Contracts, and App Terms of ServiceCommercially disguised and less centralized; identical to China's result but responsibility is diffused and the Bill of Rights bypassed.────────────────────────────────────────[01:24:08]Harvey Silverglate: Most People Commit Three Felonies a Day — Flock Ensures None Go UndetectedThe law is so complex compliance is impossible; license plate surveillance makes every technical infraction observable and actionable.────────────────────────────────────────[01:27:59]142 Anti-Data-Center Protests Across 42 States Last Saturday — 86% of Americans Oppose Them in Their NeighborhoodsThe immediate concerns are real but secondary; the surveillance state purpose is the core issue protesters must not miss.────────────────────────────────────────[01:56:43]ICE Agents and Criminal Kidnappers Are Now Indistinguishable — Masked, No ID, No Uniform, Unmarked Vehicle, Camo PantsWhether it is an ICE agent or a criminal kit, the description is identical; the only difference is one calls itself the government.────────────────────────────────────────[01:57:45]McConnell Continues to Improve — Knight Compares It to SNL's Running Joke About Franco Being Valiantly DeadEMS veteran Andy: anyone found in that condition is either brain dead or dead; keeping a presumably dead man in office is a hallmark of authoritarian regimes. ──────────────────────────────────────── Money should have intrinsic value AND transactional privacy: Go to https://davidknight.gold/ for great deals on physical gold/silver For 10% off Gerald Celente's prescient Trends Journal, go to https://trendsjournal.com/ and enter the code “KNIGHT” For high quality made in America products go to HomeSteadProducts.shop and use promo code “Knight” for 10% off your purchases Find out more about the show and where you can watch it at TheDavidKnightShow.com If you would like to support the show and our family please consider subscribing monthly here: SubscribeStar https://www.subscribestar.com/the-david-knight-show Or you can send a donation throughMail: David Knight POB 994 Kodak, TN 37764Zelle: @DavidKnightShow@protonmail.comCash App at: $davidknightshowBTC to: bc1qkuec29hkuye4xse9unh7nptvu3y9qmv24vanh7Become a supporter of this podcast: https://www.spreaker.com/podcast/the-real-david-knight-show--5282736/support.

── Interview 1: C.R. Wiley — St. Anthony's Guide to Surviving the AI Apocalypse ──────────────────────────────────────────[00:07:52]Pastors Who Use AI to Write Sermons Are Cheating Themselves and Their Congregation — Wiley Calls It a Disciplinary MatterIt inserts something between the pastor and his text; prayerful study of Scripture with his own people in mind is the calling; denominations should address it formally.────────────────────────────────────────[00:22:05]Wiley's Three Principles From St. Anthony: Go to the Analog, Discern the Spirits, Fight for Your BodyThe desert is no longer a location — it's the analog world; AI is a glorified calculator with nobody home; the internet of bodies is coming and you must refuse to become part of it.────────────────────────────────────────[00:25:17]Peter Thiel Compares Himself to Aragorn Using Palantir Against Sauron — Wiley Asked Afterward: Do You Have That Kind of Self-Mastery?Thiel argued private industry is always two steps ahead of government and functions as a restraint on the antichrist system; he explicitly rejected C.S. Lewis's Abolition of Man.────────────────────────────────────────[00:42:16]Thiel Equates Progress With Christianity — Calls Any Regulation of AI AntichristHe credited Christianity with the technological revolution; anyone who inhibits technological progress, including Pope Leo XIII, he considers antichrist; he praised Rushdoony's work on private education. ──────────────────────────────────────── ── Interview 2: Dr. Darrell Wolfe — DOD Protocol / Escape the Matrix ──────────────────────────────────────────[01:15:17]Trauma-Drama Chemical Dumps Happen 110-120 Times Per Day Since COVID — Up From 3 Per Month 75 Years AgoCortisol, adrenaline, and histamine are acidic; before COVID the body could recover; now most people never stop dripping stress hormones, creating chronic acidic inflammation.────────────────────────────────────────[01:16:16]There Is No Cancer — There Is Only Cellular Oxygen Suffocation Caused by InflammationNobel laureate Dr. Otto Warburg proved cancer is a 35% drop in cellular oxygen; cells switch to fermenting lactic acid to survive; the mutation narrative was designed to obscure this.────────────────────────────────────────[01:23:35]Children Are Now Medium Brown Inside at Age 10 From Chronic Inflammation — 75 Years Ago That Happened at 40Human tissue browns like meat in an oven; by age 30 most people are dark brown internally; Wolf says autopsists confirm it; inflammation is the fire, chronic chemical exposure is the fuel.────────────────────────────────────────[01:27:08]When Cellular Electrical Conductivity Drops 25%, Parasites Begin — at 35%, Cancer FollowsHealthy cells run at 0.04 volts; a 15% voltage drop cuts oxygen and creates pain; at 25% the body begins decomposing living tissue; at 35% cells switch metabolic pathways — that is cancer. ──────────────────────────────────────── Money should have intrinsic value AND transactional privacy: Go to https://davidknight.gold/ for great deals on physical gold/silver For 10% off Gerald Celente's prescient Trends Journal, go to https://trendsjournal.com/ and enter the code “KNIGHT” For high quality made in America products go to HomeSteadProducts.shop and use promo code “Knight” for 10% off your purchases Find out more about the show and where you can watch it at TheDavidKnightShow.com If you would like to support the show and our family please consider subscribing monthly here: SubscribeStar https://www.subscribestar.com/the-david-knight-show Or you can send a donation throughMail: David Knight POB 994 Kodak, TN 37764Zelle: @DavidKnightShow@protonmail.comCash App at: $davidknightshowBTC to: bc1qkuec29hkuye4xse9unh7nptvu3y9qmv24vanh7Become a supporter of this podcast: https://www.spreaker.com/podcast/the-david-knight-show--2653468/support.

── Interview 1: C.R. Wiley — St. Anthony's Guide to Surviving the AI Apocalypse ──────────────────────────────────────────[00:07:52]Pastors Who Use AI to Write Sermons Are Cheating Themselves and Their Congregation — Wiley Calls It a Disciplinary MatterIt inserts something between the pastor and his text; prayerful study of Scripture with his own people in mind is the calling; denominations should address it formally.────────────────────────────────────────[00:22:05]Wiley's Three Principles From St. Anthony: Go to the Analog, Discern the Spirits, Fight for Your BodyThe desert is no longer a location — it's the analog world; AI is a glorified calculator with nobody home; the internet of bodies is coming and you must refuse to become part of it.────────────────────────────────────────[00:25:17]Peter Thiel Compares Himself to Aragorn Using Palantir Against Sauron — Wiley Asked Afterward: Do You Have That Kind of Self-Mastery?Thiel argued private industry is always two steps ahead of government and functions as a restraint on the antichrist system; he explicitly rejected C.S. Lewis's Abolition of Man.────────────────────────────────────────[00:42:16]Thiel Equates Progress With Christianity — Calls Any Regulation of AI AntichristHe credited Christianity with the technological revolution; anyone who inhibits technological progress, including Pope Leo XIII, he considers antichrist; he praised Rushdoony's work on private education. ──────────────────────────────────────── ── Interview 2: Dr. Darrell Wolfe — DOD Protocol / Escape the Matrix ──────────────────────────────────────────[01:15:17]Trauma-Drama Chemical Dumps Happen 110-120 Times Per Day Since COVID — Up From 3 Per Month 75 Years AgoCortisol, adrenaline, and histamine are acidic; before COVID the body could recover; now most people never stop dripping stress hormones, creating chronic acidic inflammation.────────────────────────────────────────[01:16:16]There Is No Cancer — There Is Only Cellular Oxygen Suffocation Caused by InflammationNobel laureate Dr. Otto Warburg proved cancer is a 35% drop in cellular oxygen; cells switch to fermenting lactic acid to survive; the mutation narrative was designed to obscure this.────────────────────────────────────────[01:23:35]Children Are Now Medium Brown Inside at Age 10 From Chronic Inflammation — 75 Years Ago That Happened at 40Human tissue browns like meat in an oven; by age 30 most people are dark brown internally; Wolf says autopsists confirm it; inflammation is the fire, chronic chemical exposure is the fuel.────────────────────────────────────────[01:27:08]When Cellular Electrical Conductivity Drops 25%, Parasites Begin — at 35%, Cancer FollowsHealthy cells run at 0.04 volts; a 15% voltage drop cuts oxygen and creates pain; at 25% the body begins decomposing living tissue; at 35% cells switch metabolic pathways — that is cancer. ──────────────────────────────────────── Money should have intrinsic value AND transactional privacy: Go to https://davidknight.gold/ for great deals on physical gold/silver For 10% off Gerald Celente's prescient Trends Journal, go to https://trendsjournal.com/ and enter the code “KNIGHT” For high quality made in America products go to HomeSteadProducts.shop and use promo code “Knight” for 10% off your purchases Find out more about the show and where you can watch it at TheDavidKnightShow.com If you would like to support the show and our family please consider subscribing monthly here: SubscribeStar https://www.subscribestar.com/the-david-knight-show Or you can send a donation throughMail: David Knight POB 994 Kodak, TN 37764Zelle: @DavidKnightShow@protonmail.comCash App at: $davidknightshowBTC to: bc1qkuec29hkuye4xse9unh7nptvu3y9qmv24vanh7Become a supporter of this podcast: https://www.spreaker.com/podcast/the-real-david-knight-show--5282736/support.

────────────────────────────────────────[00:02:23]Moderna Launching an mRNA Cancer Vaccine — for Patients Who Already Have Metastatic CancerThe shot caused the cancer explosion; now programming immune-compromised patients to produce tumor proteins; control group gets a different mRNA — no placebo.────────────────────────────────────────[00:10:05]Scientists Warn Moderna's mRNA Cancer Vaccine May Itself Cause Tumor GrowthJessica Rose: undisclosed antigens prevent independent safety assessment; Dr. Hoecker: counterintuitive to promote a therapy that causes cancer; FDA will approve it anyway.────────────────────────────────────────[00:34:38]Whistleblower Doctor: Booster Interval Timed to Hit White Blood Cell Production While DownFirst dose cuts production by 50%; second drops it to 25%; booster carries 81 strands of foreign bacteria the weakened immune system cannot fight.────────────────────────────────────────[00:38:48]Acosta Gave Epstein a Sweetheart Deal Because He Was Told Epstein Was Intelligence — Ken Starr Then Became His Defense AttorneyThe same Starr who gave Clinton a pass became Epstein's lawyer; a victim who refused to speak was forced forward when DOJ published her name.────────────────────────────────────────[00:40:32]Trump Sent Ivanka as a Teenager to Brunel — Modeling Agent Later Convicted of Rape and PedophiliaBrunel trafficked women into debt bondage for Epstein; the Uzbek woman now speaking out was one of his victims; Brunel died in prison in 2022.────────────────────────────────────────[01:14:55]China Cut Oil Consumption to Prevent a Global Depression — Trump Appears to Be Trying to Create OneChinese foreign minister: the Strait was open before the war; US-Israel operations created the crisis; China offset 5% of the 20% lost by cutting its consumption.────────────────────────────────────────[01:21:11]After the Iran War, Both Sides Have Revealed Their Limits — Next Conflict Requires a Domestic TriggerUS and Israel cannot change Tehran by force; Iran cannot inflict critical damage; both will prepare for a conflict requiring something to happen on American soil.────────────────────────────────────────[01:25:07]Hegseth Asks Congress for $1.5 Trillion for a War Trump Already Declared WonSenator to Hegseth: unlimited bomb money while cutting food, healthcare, and farm support; Palmer Luckey is building autonomous Terminator drones with Thiel's money.────────────────────────────────────────[01:52:30]The Covenant With Moses Was Conditional — Israel Broke It and God Destroyed the Nation ForeverPalestine today is a devilish counterfeit; the Old Testament testifies of Christ, not an ethnic group or political state — fundamental error of Christian Zionism.────────────────────────────────────────[01:55:08]Trump Contradicts Himself in the Same Sentence — Desperate to Meet Iran, But Not ReadyIran's missiles change speed mid-flight defeating every US defense system; Trump blamed Jordan attack on Jordanians. ──────────────────────────────────────── Money should have intrinsic value AND transactional privacy: Go to https://davidknight.gold/ for great deals on physical gold/silver For 10% off Gerald Celente's prescient Trends Journal, go to https://trendsjournal.com/ and enter the code “KNIGHT” For high quality made in America products go to HomeSteadProducts.shop and use promo code “Knight” for 10% off your purchases Find out more about the show and where you can watch it at TheDavidKnightShow.com If you would like to support the show and our family please consider subscribing monthly here: SubscribeStar https://www.subscribestar.com/the-david-knight-show Or you can send a donation throughMail: David Knight POB 994 Kodak, TN 37764Zelle: @DavidKnightShow@protonmail.comCash App at: $davidknightshowBTC to: bc1qkuec29hkuye4xse9unh7nptvu3y9qmv24vanh7Become a supporter of this podcast: https://www.spreaker.com/podcast/the-david-knight-show--2653468/support.

────────────────────────────────────────[00:02:23]Moderna Launching an mRNA Cancer Vaccine — for Patients Who Already Have Metastatic CancerThe shot caused the cancer explosion; now programming immune-compromised patients to produce tumor proteins; control group gets a different mRNA — no placebo.────────────────────────────────────────[00:10:05]Scientists Warn Moderna's mRNA Cancer Vaccine May Itself Cause Tumor GrowthJessica Rose: undisclosed antigens prevent independent safety assessment; Dr. Hoecker: counterintuitive to promote a therapy that causes cancer; FDA will approve it anyway.────────────────────────────────────────[00:34:38]Whistleblower Doctor: Booster Interval Timed to Hit White Blood Cell Production While DownFirst dose cuts production by 50%; second drops it to 25%; booster carries 81 strands of foreign bacteria the weakened immune system cannot fight.────────────────────────────────────────[00:38:48]Acosta Gave Epstein a Sweetheart Deal Because He Was Told Epstein Was Intelligence — Ken Starr Then Became His Defense AttorneyThe same Starr who gave Clinton a pass became Epstein's lawyer; a victim who refused to speak was forced forward when DOJ published her name.────────────────────────────────────────[00:40:32]Trump Sent Ivanka as a Teenager to Brunel — Modeling Agent Later Convicted of Rape and PedophiliaBrunel trafficked women into debt bondage for Epstein; the Uzbek woman now speaking out was one of his victims; Brunel died in prison in 2022.────────────────────────────────────────[01:14:55]China Cut Oil Consumption to Prevent a Global Depression — Trump Appears to Be Trying to Create OneChinese foreign minister: the Strait was open before the war; US-Israel operations created the crisis; China offset 5% of the 20% lost by cutting its consumption.────────────────────────────────────────[01:21:11]After the Iran War, Both Sides Have Revealed Their Limits — Next Conflict Requires a Domestic TriggerUS and Israel cannot change Tehran by force; Iran cannot inflict critical damage; both will prepare for a conflict requiring something to happen on American soil.────────────────────────────────────────[01:25:07]Hegseth Asks Congress for $1.5 Trillion for a War Trump Already Declared WonSenator to Hegseth: unlimited bomb money while cutting food, healthcare, and farm support; Palmer Luckey is building autonomous Terminator drones with Thiel's money.────────────────────────────────────────[01:52:30]The Covenant With Moses Was Conditional — Israel Broke It and God Destroyed the Nation ForeverPalestine today is a devilish counterfeit; the Old Testament testifies of Christ, not an ethnic group or political state — fundamental error of Christian Zionism.────────────────────────────────────────[01:55:08]Trump Contradicts Himself in the Same Sentence — Desperate to Meet Iran, But Not ReadyIran's missiles change speed mid-flight defeating every US defense system; Trump blamed Jordan attack on Jordanians. ──────────────────────────────────────── Money should have intrinsic value AND transactional privacy: Go to https://davidknight.gold/ for great deals on physical gold/silver For 10% off Gerald Celente's prescient Trends Journal, go to https://trendsjournal.com/ and enter the code “KNIGHT” For high quality made in America products go to HomeSteadProducts.shop and use promo code “Knight” for 10% off your purchases Find out more about the show and where you can watch it at TheDavidKnightShow.com If you would like to support the show and our family please consider subscribing monthly here: SubscribeStar https://www.subscribestar.com/the-david-knight-show Or you can send a donation throughMail: David Knight POB 994 Kodak, TN 37764Zelle: @DavidKnightShow@protonmail.comCash App at: $davidknightshowBTC to: bc1qkuec29hkuye4xse9unh7nptvu3y9qmv24vanh7Become a supporter of this podcast: https://www.spreaker.com/podcast/the-real-david-knight-show--5282736/support.

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

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

Az internet hajnalán a kibertérben sokan a szabadság kiteljesítőjét látták. Mi történt a 2000-es éveket jellemző digitális optimizmussal? Hogyan jelennek meg a kontroll új technikái? Felelős-e egy nagyvállalat a tartalomért, ha „csak” platformot nyújt? Miért sorakozik fel a tech elit a Trump-adminisztráció mögött? Mit tanulhatunk egy amerikai kisváros példájából, amely önkormányzati internethálózatot épített a nagy telekommunikációs cégek lobbizása ellenére? Van-e az AI-nak ideológiája? Mi köze az infrastruktúra történetének a gyarmatosításhoz? Ilyen és ehhez hasonló kérdésre keressük a választ a No Pasarán! legújabb részében, ahol a technofasizmusról lesz szó.—Hivatkozásjegyzék:Barlow, John Perry 1996: A Declaration of the Independence of Cyberspace. Electronic Frontier Foundation, Davos. (Utolsó letöltés: 2026. június 24.) URL: https://www.eff.org/cyberspace-independence.Chan, Anita Say 2025: Predatory Data: Eugenics in Big Tech and Our Fight for an Independent Future. University of California Press, Oakland.Coeckelbergh, Mark 2026: Technofascism: AI, Big Tech, and the new authoritarianism. AI & Society 41. (5.). 5163–5176.Karp, Alexander C. – Zamiska, Nicholas W. 2025: The Technological Republic: Hard Power, Soft Belief, and the Future of the West. Crown Publishing Group, New York. Loewenstein, Antony 2023: The Palestine Laboratory: How Israel Exports the Technology of Occupation Around the World. Verso, London–New York.Madianou, Mirca 2024: Technocolonialism: When Technology for Good is Harmful. Polity Press, Cambridge.McQuillan, Dan 2022: Resisting AI: An Anti-fascist Approach to Artificial Intelligence. Policy Press, Bristol.Mejias, Ulises A. – Coudry, Nick 2024: Data Grab: The New Colonialism of Big Tech and How to Fight Back. University of Chicago Press, Chicago.Paris, Britt S. 2026: Radical Infrastructure: Imagining the Internet from the Ground Up. University of California Press, Oakland.Thiel, Peter 2009: The Education of a Libertarian. Cato Unbound (Utolsó letöltés: 2026. június 24.) URL: cato-unbound.org.—Legyél rendszeres támogató!https://cause.lundadonate.org/partizan/adomanyPartizán webshop:https://shop.partizan.hu/—Csatlakozz a Partizán közösségéhez, értesülj elsőként eseményeinkről, akcióinkról!https://csapat.partizanmedia.hu/forms/maradjunk-kapcsolatban—Legyél önkéntes!Csatlakozz a Partizán önkéntes csapatához:https://csapat.partizanmedia.hu/forms/csatlakozz-te-is-a-partizan-onkenteseihez—Iratkozz fel a Partizán Szerkesztőségi Hírlevelére!https://csapat.partizanmedia.hu/forms/iratkozz-fel-a-partizan-szerkesztoinek-hirlevelere

JOIN PATREON FOR EARLY UNCENSORED EPISODE RELEASES: https://www.patreon.com/JulianDorey CLIPPERS DISCORD: https://discord.gg/8QmWEKJ3BT (***TIMESTAMPS in Description Below) ~ Fat Electrician and Veteran w/ a Sign are both veterans and YouTube creators. They have their own channels and multiple podcasts including "Unsubscribe Podcast" & "Underwhelming Podcast." FAT ELECTRICIAN's LINKS: - YT:  https://www.youtube.com/@the_fat_electrician - POD:  https://www.youtube.com/@unsubscribepodcast - IG: https://www.instagram.com/the_fat_electrician/?hl=en VETERAN w/ A SIGN's LINKS: - IG: https://www.instagram.com/veteranwithasign/?hl=en - POD:  https://www.youtube.com/@UnderwhelmingPodcast FOLLOW JULIAN DOREY INSTAGRAM (Podcast): https://www.instagram.com/juliandoreypodcast/ INSTAGRAM (Personal): https://www.instagram.com/julianddorey/ X: https://twitter.com/julianddorey JULIAN YT CHANNELS - SUBSCRIBE to Julian Dorey Clips YT: https://www.youtube.com/@juliandoreyclips - SUBSCRIBE to Julian Dorey Daily YT: https://www.youtube.com/@JulianDoreyDaily - SUBSCRIBE to Best of JDP: https://www.youtube.com/@bestofJDP ****TIMESTAMPS**** 0:00 - Live podcasting and military transition 11:23 - Aldi, Poisoned American food & politics 26:19 - Agriculture, Iowa cancer & NJ Pumping Gas Argument 42:02 - AI, Thiel & skilled trades 53:18 - Trades, YouTube & corporate inefficiency 1:02:50 - Social security & opioid crisis 1:13:10 - Boomers, democracy flaws, voting barriers 1:22:56 - Voting tests and civil service 1:33:00 - Poverty, 9/11 & joining military 1:42:02 - Afghanistan deployment & Marja invasion 1:54:00 - Combat losses & supportive wives 2:07:55 - Marrying your high school sweetheart 2:08:57 - Logan Weston: The Fighting Preacher 2:23:08 - Merrill Marauders & bayonet charges 2:24:40 - Military history & political wars 2:43:35 - Afghanistan withdrawal & veteran healing 2:58:20 - Meeting online & veteran PTSD 3:08:18 - Systemic abuse & Afghan reality 3:26:49 - Fat Electrician & VWAS's Work CREDITS: - Host, Editor & Producer: Julian Dorey - COO, Producer & Editor: Alessi Allaman - https://www.youtube.com/@UCyLKzv5fKxGmVQg3cMJJzyQ - In-Studio Producer: Joey Deef Julian Dorey Podcast Episode 446 - Fat Electrician & Veteran w/ a Sign Music by Artlist.io Learn more about your ad choices. Visit podcastchoices.com/adchoices

A lot of pro-Palestine activism rests on legal concepts and language – genocide, apartheid, and the illegality of the Israeli occupation. But in Gaza, they're burning international-law books for fuel.Are we wasting time and energy by seeking justice through the courts? Critical legal scholar John Reynolds of Maynooth University joins the pod to argue out the contradictions.The Party Line is a podcast from The Ditch, hosted by Harry Browne and Niamh Ní Bhriain, with Paulie Doyle of The Ditch.'Irish energy regulator was going to attend Thiel event in Powerscourt Hotel' https://www.ontheditch.com/energy-regulator/'EU presidency ceremony almost went down without a hitch, but Zelenskiy dig was copped by all' https://tinyurl.com/5dxsvkfjJohn Reynolds' fortcoming book with Noura Erakat: https://www.haymarketbooks.org/books/2851-confronting-zionismMusic by Fionn DempseyRecording by Emmet WhiteEmail theditchpartyline at gmailontheditch.com Hosted on Acast. See acast.com/privacy for more information.

Dear Elon,Congratulations on your initial public offering of SPCX.Google's AI says, “The blockbuster debut briefly made Elon Musk the world's first trillionaire on paper.”The words “briefly” and “on paper” dim the dazzling brightness of the word “trillionaire” a little, but still, it's a pretty big deal.I'm sure that Errol and Maye are super-proud.You've come a long way since you started Zip2 with your brother, Kimball, in 1995.Who would have ever thought that a company that created online city guides for newspapers would sell for $307 million after just 3 and 1/2 years in business?Your 7% was only worth $22 million, but still, that's a lot of pocket money for a 27-year-old boy.Your decision to partner up with Ed Ho, Harris Fricker, and Christopher Payne to create “X,” and then merge with your biggest competitor so that all of you could survive the bursting of the dotcom bubble, well, that was another brilliant move.It worked out well for Max Levchin and Peter Thiel, too. You and Thiel and Ho, Fricker, Payne and Max created Paypal at exactly the right time.Well done, all of you!But of all your accomplishments, the one that impresses me the most is the frictionless website that you built to sell cars.Every Tesla owner that I have ever met has admitted to being marveled by how easy it was to buy a new Tesla. Five minutes online and $500 on a credit card leaves the customer sitting there, mildly stunned, asking themselves. “Did I really just buy a car? Can it really be that easy?”Elon, when people marvel at something, the thing that marvels them can rightfully be called marvelous.Elon, your Tesla website is marvelous.And the car is marvelous.Except for one thing. Can we talk about that one thing for a moment?Shortly after my wife Pennie bought her Tesla, I saw that we had a sheet rock screw embedded in the center of the tread in the right rear tire.Pennie said, “No problem, Tire Service is one of the things that my Tesla app says they can do right in our driveway.”So she pulled out her phone and quickly ordered and paid for Tire Service.When the tire guy showed up he said, “Yep. That's definitely a sheet rock screw and it's definitely an easy fix, but I can only do tire rotations. Take this to the Tesla service center and I'm sure they will do it for free.”When Pennie got back from the service center, she said that your service manager told her that the tire could not be fixed because it had a scuff on the sidewall, so he sold her a $400 new tire.Obviously, I should have gone with her.Was she cheated out of $400? Yes. In my opinion, she was cheated out of four hundred dollars.Have we been cheated by other people for more money than that? Yes.Life goes on.Elon, you and I both know that no car on earth – not even your Tesla – is equipped with onboard sensors that can monitor the depth of the tire tread on a tire. So I can only assume that this annoying “tire tread” warning light that has been front-and-center on our dash ever since she visited your service center was most likely put there by the same aggressive salesman who already sold my wife a tire that she did not need. I'm sure you can understand why I will never visit another Tesla service center.Can we resolve this like honorable men?Elon, I will Venmo you another $400 if you will tell your service manager to press the button that will make the annoying “tire tread warning” light disappear from the dash of my wife's car.You can keep the tire. I don't need it, just like I didn't need the first one. But I really do need that annoying dash light to go away.I will even Paypal you the $400 if you prefer.Again, congratulations on briefly becoming the world's first “on paper” trillionaire.– Roy H. Williams

JOIN PATREON FOR EARLY UNCENSORED EPISODE RELEASES: https://www.patreon.com/JulianDorey CLIPPERS DISCORD: https://discord.gg/8QmWEKJ3BT FOLLOW JULIAN DOREY IG: https://www.instagram.com/julianddorey/ X: https://x.com/juliandorey FOLLOW JOEY DEEF IG: https://www.instagram.com/joeydeef/ X: https://x.com/TokeMalone JULIAN YT CHANNELS - SUBSCRIBE to Julian Dorey Clips YT: https://www.youtube.com/@juliandoreyclips - SUBSCRIBE to Julian Dorey Daily YT: https://www.youtube.com/@JulianDoreyDaily - SUBSCRIBE to Best of JDP: https://www.youtube.com/@bestofJDP ****TIMESTAMPS**** 0:00 - Deef's fingers in danger 1:58 - Today's investigation 3:33 - Julian expands upon last week's Jay Clayton findings 7:50 - Apollo Lawyer Andrew Levander's Epstein Relationship 14:13 - Epstein Bounty Hunter & Ponzi Scheming Timeline 16:46 - The Drysdale Affair 21:38 - Epstein Client's Lost Money from Drysdale Affair 22:20 - Andrew Levanders SHADY clients 27:10 - Iran Contra & Al-Yamama Arms Deals in same era 28:35 - NEW Story on Epstein's “Prison” Office 34:10 - Epstein's Lawyer LIED to court and it was ignored 37:34 - Epstein's Office Incredible Amenities & Perks 39:55 - Epstein's favorite book & “it's been a great ride, America” 43:04 - Epstein & Ehud Barak's Israeli Mercenaries in Africa Story 50:06 - Julian left Douglas Rushkoff SPEECHLESS over Billionaire Bunker Seekers (STORY) 53:54 - Peter Thiel's latest “1984” Global Takeover Plan 57:50 - Thiel's New Product is only made for Rich People, “Anonymous Sources” arguments 59:53 - Thiel's “AI Tribunal”-Run Media Hellscape 1:01:06 - Thiel's “Objection” Product in action…on behalf of THE SACKLER FAMILY 1:05:14 - Peter Thiel's Weird Hatchet Man, Aron D'Souza 1:10:58 - Julian UNLOADS on Thiel's future media hellscape 1:13:40 - 250 years ago, something very special happened 1:15:56 - The critical moment we are in as a nation in 2026 1:18:22 - Ben Franklin's 4 WARNINGS to America 1:24:46 - George Washington's 3 WARNINGS to America 1:29:06 - BIDEN & Founding Fathers' System 1:30:22 - TRUMP & Founding Fathers System 1:34:07 - The Epstein Class 1:34:50 - How America has STRAYED from Founding Fathers' System 1:35:41 - Why, at 250 Years, America's Good has Outweighed Bad 1:36:31 - The Ultimate Question America now faces 1:38:10 - Happy July 4th! CREDITS: - Host, Editor & Producer: Julian Dorey - COO, Producer & Editor: Alessi Allaman - https://www.youtube.com/@UCyLKzv5fKxGmVQg3cMJJzyQ - In-Studio Producer: Joey Deef Julian Dorey Podcast Episode 444 - Julian Dorey Music by Artlist.io Learn more about your ad choices. Visit podcastchoices.com/adchoices

Fold in on yourself now and pull up a chair and lend an ear. Pete "Flop/Meth Sweat in a Humanoid Outline" Thiel's secret society revealed, sky remains blue, and water—wet. UFC and FIFA done right, done American, done with handmade grift and graft. Memorandums of "Understanding"? Tentative congrats to Iran. Goddamn all the usual suspects in politics/medialand doing everything they can to keep hellfires stoked when it comes to imperial terror. Fifth "assassination attempt" on the Presinald—Kash Patel probably did this and #3 and #4, too. And then Donald J. Trump Esquire does G6-7 and wows all the dignitaries with witticisms and aneurysms."Missiles only hurt a little location."  —Presinald TruntRecorded on Friday, June 19th, 2569 B.E. around 9.00PM Central Standard Time. Commiserate on Discord: discord.gg/aDf4Yv9PrYNever Forget: standwithdanielhale.orgGenral RecommendationsJosh's Recommendation: The AI Doc: Or How I Became an ApocaloptimistTim's Recommendation: Further Reading, Viewing, ListeningShow notes + Full list of links, sources, etcEternal thanks to Rm Brown ("King of the Soundboard")More From Timothy Robert BuechnerPodcast: Q&T ARE / violentpeople.co Tweets: @ROHDUTCHLocationless Locationsheatdeathpod.comEvery show-related link is corralled and available here.Twitter: @heatdeathpodPlease send all Letters of Derision, Indifference, Inquiry, Mild Elation, et cetera to: heatdeathoftheuniversepodcast@gmail.comSend us Fan MailSupport the showSupport: patreon / buzzsprout

“If you don't give feedback, you're not helping them improve,” says Julie Thiel of TTS Company. In this Technology Reseller News podcast, Doug Green speaks with Julie Thiel of TTS Company in the latest installment of an ongoing series on leadership, hiring and better management practices. This episode focuses on one of the most common leadership challenges: the feedback conversations managers often delay. Thiel says many managers avoid these conversations because they hope the issue will resolve itself, they do not want to create awkwardness, or they simply do not know how to begin. But waiting has a cost. Small performance issues can become repeated habits, and repeated habits can become larger organizational problems. Thiel says managers may also become increasingly frustrated, while employees are left unclear about what needs to change. “One small action becomes ten small actions, which becomes a big problem,” says Thiel. Thiel recommends a practical rule of thumb: if something happens once, give the employee some room. If it happens twice, there may be a knowledge or skill gap. By the third time, the manager needs to address it. The conversation also offers a simple preparation framework for managers before giving feedback: What specifically needs to improve? Why does it matter? What support can I provide? What does success look like? Thiel says feedback should not be viewed as criticism. Done well, it is a way to help the employee succeed, strengthen trust and build a better team. “It really does build trust because people know where they stand,” says Thiel. The podcast also discusses how managers can protect the relationship while giving feedback. Thiel encourages leaders to stick with observable facts, assume positive intent, listen as much as they talk, and ask questions such as, “What am I missing?” TTS Company helps growing companies get HR and people issues off the plate of CEOs and founders, while also supporting larger HR teams with projects and added capacity. Thiel also previews The Vault, a leadership development community designed to provide practical, ongoing support for technology leaders. Learn more at thettscompany.com  

GARMENTS AND GATEWAYS - 06.29.2026 - #953 BestPodcastintheMetaverse.com Canary Cry News Talk #953 - 06.29.2026 - Recorded Live to 1s and 0s Deconstructing World Events from a Biblical Worldview Declaring Jesus as Lord amidst the Fifth Generation War! CageRattlerCoffee.com SD/TC email Ike for discount https://CanaryCry.Support   Send address and shirt size updates to canarycrysupplydrop@gmail.com Join the Canary Cry Roundtable   This Episode was Produced By:   Executive Producers Anonymous*** Sir Jamey Not the Lanister*** Sir LX Protocol Baron of the Berrean Protocol***   Producers of TREASURE (CanaryCry.Support) Josie Whales, Rebecca T, Julie S, Monica, Map Watcher   Producers of TIME Timestampers: Jade Bouncerson, Morgan E Clankoniphius Links: JAM   SIR IKE MEGA BOX GIVEAWAY - Rating/Review, screenshot, send to Sir Ike CanaryCrySupplyDrop@gmail.com CANDACE OWENS/NEPHILIM UPDATE Clip: Says Elon, Thiel, Altman might be hybrids (X)   EXECUTIVE PRODUCERS   PALANTIR/BEAST FASHION My New Life With the Palantir Chore Coat (The Atlantic) → Palantir clothing store   UKRAINE/RUSSIA/WITCHCRAFT The Warrior Witches of Ukraine (Atlantic) Viktor Bout on Tucker Carlson, warning about Ukraine war into Europe (X) Viktor Bout and the re-enchated world war (X)   The Foundations of Re-Enchantment (Patheos/Evangelical) → Oxford press highlights the book   PRODUCERS END

Brian Requarth is Founder and General Partner at Latitud — a Silicon Valley-based venture fund and platform that leads pre-seed checks into the top 1% of Latin American founders building global companies. Brian previously co-founded VivaReal, which merged with ZAP Imóveis in 2017 to form Grupo ZAP — later acquired by OLX Brazil for approximately $640M in 2020. Latitud's fellowship has accepted just 1% of 1,500+ annual applicants — harder than the Ivy League — and its 1,000+ alumni have collectively raised over $1B in venture capital. Portfolio companies include Pomelo, StarkBank, and Hyperplane (acquired by Nubank).In this episode, Brian shares why the share of LatAm founders building globally from day one has jumped from 3% to 46% in five years, and what's actually driving the shift. We cover what Founders Fund, Benchmark, Sequoia, Index, and Green Oaks are now underwriting in LatAm — and why the bet is increasingly on the founder profile, not the market, what Brian calls "minus one to zero" investing (versus Thiel's zero-to-one) and why Latitud writes checks before there's even a deck, the ELO-style algorithmic scoring system Latitud built — inspired by chess and tennis ratings — to filter 1,500 applications down to 50, why velocity of learning is the single most important variable he looks for in a founder, and why "if I get to move twice for every one of your moves, I can beat a grandmaster," the anatomy of a great early-stage fundraising round — sharpening the ax, calendar density, signal collection from named angels, and reverse-engineering investor psychology, why "síndrome de vira-lata" (the underdog mindset) is the biggest internal blocker for LatAm founders and how Bay Area exposure rewires it, the new wave of LatAm founders Brian is most excited about — including Mateus at Enter AI, Felipe and Yuri at Camu, and Thais at Taste building taste infrastructure for the AI labs, why Latitud built its entire community on a give-first mentality — starting with 150 Zoom calls during COVID and the $300K Facebook message that once saved VivaReal, why he believes the AI super cycle plus the mindset shift is the most important convergence in LatAm tech right now, and the one piece of advice he would pass to the next generation of Latin American founders.Subscribe to The J Curve Insider newsletter for deeper insights and follow Olga on LinkedIn and Instagram.

The Peter Thiel ‘Dialog' story becomes much darker when you connect it to Palantir, because this isn't merely a secretive billionaire discussion club where elites gather to talk about World War III, battlefield technologies, nuclear power, money, happiness, and cult-building. Thiel is the co-founder of Palantir, one of the most powerful data-fusion, military-AI, surveillance, and government-contracting companies in the world. So when his private network is reportedly discussing the future of war and society, we are not dealing with idle talk. We are looking at the same ecosystem where elite ideas become operational systems — where the powerful do not merely debate the future, they build the software, surveillance tools, battlefield platforms, and artificial intelligence machinery that governments and militaries increasingly depend on. This is the Beast System and the New World Order rolled into one.“For God hath put in their hearts to fulfil his will, and to agree, and give their kingdom unto the beast, until the words of God shall be fulfilled.” Revelation 17:17 (KJB)On this episode of the Prophecy News Podcast, Dialog is the private unseen table where the fate of nations are decided, and Palantir is the control grid to make it happen. One is where the ruling class talks about managing civilization; the other is where the data is gathered, fused, analyzed, and weaponized. This is exactly how the Beast System comes into view: not as one sudden event, but as the slow merger of money, military power, artificial intelligence, surveillance, politics, and private influence into one seamless machine. The Bible says the final system will touch all people, all classes, and all commerce, and that is precisely the direction the world is moving. Today we pull back the curtain, not with conspiracy theory, but with the proven superstructure that is Dialog, revealed by hackers, and just who the guests at this crazy end times table really are.

Episode 4160 │ June 27, 2026 A chairman for life, $17 billion unaudited, and a founding member the ICC wants for killing children. They call it, The Board of Peace. WHAT THIS EPISODE COVERS Dispatch Two of The Eighteenth Brumaire of Donald Trump follows the permission structure documented in Dispatch One into the architecture behind it — tracing the Board of Peace, a privately governed institution chaired for life by President Trump with $17 billion in unaudited sovereign donations held at JP Morgan, no democratic accountability, and a founding member who accepted his seat by phone because Switzerland was legally obligated to arrest him for crimes against humanity if he landed, and the Pentagon technology architecture now being consolidated under a civilian whose own words name Peter Thiel's Palantir as the future of American defense. Scott Kesterson then maps the Peter Thiel network — co-founder of PayPal, Facebook's first outside investor, founder of Palantir, co-founder of the Dialog Society that has operated secretly for 20 years, funder of JD Vance's Senate campaign, and publisher of the 2009 essay stating democracy and freedom are incompatible — against the documented placements of Thiel-connected figures throughout the Trump administration, the Pentagon AI architecture, and the Board of Peace. The episode closes with the Brumaire mechanism named precisely: the most sophisticated influence operation is not the one that lies about the problem — it is the one that tells the truth about the problem and controls the map to the solution. KEY QUESTIONS ADDRESSED  What is the Board of Peace — who chairs it for life, who holds its $17 billion in unaudited donations, why could one of its founding members only accept his seat by phone, and where does the $400 million Qatari aircraft go when Trump leaves office? What is the documented relationship between Peter Thiel, JD Vance, Emil Michael at the Pentagon, Palantir's AI targeting architecture, and the Dialog Society — and what does Thiel's own published statement that democracy and freedom are incompatible mean for the institutions being dismantled around it? What is the Brumaire mechanism — and how does the pattern Marx documented in 1852 France, that Paine lived and nearly died for, map onto the America First movement's energy being used to demolish the institutional architecture that constrained the very billionaire class the movement was supposed to challenge? BABOUT BARDSFM BardsFM is a daily independent podcast covering faith, liberty, history, and information warfare. Hosted by Scott Kesterson — combat veteran, documentary filmmaker, and rancher. Over 4,100 episodes and 50 million lifetime downloads. New episodes every weekday. bards.fm This episode was researched and produced under the Sentinel Framework v3 — the analytical methodology built by Scott Kesterson — with AI-assisted research synthesis at a 70/30 human/AI authorship ratio, fully disclosed. All analysis, conclusions, and editorial judgments are those of Scott Kesterson. AFFILIATE LINKS Bards Nation Health Store: www.bardsnationhealth.com MYPillow promo code: BARDS >> Go to https://www.mypillow.com/bards and use the promo code BARDS or... Call 1-800-975-2939.  EMPShield protect your vehicles and home. Promo code BARDS: Click here Treadlite Broadforks...best garden tool EVER. Promo code BARDS26: TreadliteBroadforks.com EnviroKlenz Air Purification, promo code BARDS to save 10%: www.enviroklenz.com Morning Intro Music Provided by Brian Kahanek: www.briankahanek.com Founders Bible 20% discount code: BARDS >>> TheFoundersBible.com Windblown Media 20% Discount with promo code BARDS: windblownmedia.com White Oak Pastures Grassfed Meats, Get $20 off any order $150 or more. Promo Code BARDS: www.whiteoakpastures.com/BARDS Mission Darkness Faraday Bags and RF Shielding. Promo code BARDS: Click here DONATIONS: If you wish to support this podcast directly you can donate here... DONATE: Click here MAILING ADDRESS: Xpedition Cafe, LLC Attn. Scott Kesterson 591 E Central Ave, #740  

Sam, Dylan, and Dark Smith are back to break down: Dark Smith's job interview to become an escort and the loofah-color swinger code of Florida's villages, the Boyle Heights fire spilling Freon and ammonia while firefighters spray a blaze they can't reach (and the owner being a Karen Bass donor), a documentary trying to abolish the Electoral College, the deep origins of the Vatican built on top of Vatican Hill, the pagan goddess Cybele and the Anatolian mother god Magna Mater brought to Rome via the prophetic Sibylline Books after Hannibal's slaughter at Cannae, the blood-baptism bull-sacrifice rituals later dug up by archaeologists, H.P. Lovecraft's "The Rats in the Walls" and its cannibal cult, the serpent-shaped Vatican auditorium and the Pope's fish-head mitre tied to the Babylonian fish god Dagon (who turns out to be Godzilla), Sam's pitch for roller derby as the next great pro sport, the Iran war being "over" again with IAEA inspectors as the "milestone" achieved by undoing the milestone, Israel allegedly trying to assassinate the negotiators before Trump called them off, Nicki Minaj's distraction-death theory, JD Vance's Thiel-engineered glow-up, the Albanians tearing their country apart over Jared and Ivanka's island and Sam's theory it's about controlling the Strait of Otranto, the nu-metal psyop, military stock buybacks instead of R&D, Bezos prioritizing AI water over "baseline human comfort," and a woman who lost ten years of memory from straining too hard on the toilet. Subscribe and give us that sweet brown hype.   Grab Tickets To Sam Tripoli's Live Shows At: https://samtripoli.com/events/   Miami, Fl: 7/31-8/1 Lawerence, KS: 9/17-9/19 Tulsa, OK: 10/9-10/10 Dallas, TX: 11/07 New Orleans, LA: 11/13 - 15 Austin, TX: DEC 11th-13th:   Buy Our Merch or Sam Will Fight You: https://conspiracy-social-club-aka-deep-waters.myshopify.com/   Subscribe to the Patreon: https://www.patreon.com/AkaDeepWaters   Check out Dylan's instagram - @dylanpetewrenn   Check out Deep Waters Instagram: @akadeepwaters   Check out Bad Tv podcast: https://bit.ly/3RYuTG0   THANK YOU TO OUR SPONSORS:   LUCY.CO/CSC Promo Code "CSC" to get 20% off your first order   HIMS.COM/CSC HIMS.COM/CSC for your FREE Online Visit

This episode was deleted by YouTube without much explanation. Inside we discuss Peter Thiel's secretive Dialog group, Charlie Kirk's latest controversy, James Franco's bizarre disclosure video, and the 1000th episode of Tin Foil Hat lead this week's insanity. Plus: Keir Starmer is out, Lindsey Graham's latest war push, the White House joking about Q, Oliver Tree's interests, Trader Joe's tote-bag chaos, and anti-Rogan protesters proving once again that nobody understands Joe Rogan. Sam and Johnny break down the internet's strangest stories, media narratives, political theater, and conspiracy culture.Visit NOCD.com to book a free 15-minute call!For simple, online access to personalized and affordable care for Hair Loss, ED, Weight Loss, and more, visit Hims.com/BROKENSIM. For Sam's dates and more visit samtripoli.com!Get fifteen dollars off your first task at Taskrabbit dot com or on the Taskrabbit app using promo code BROKEN!Get up to $3 million in coverage in as little as 10 minutes at https://ethos.com/broken.More stuff: Get episodes early, and unedited, plus bonus episodes: patreon.com/brokensimulationSocial media: Twitter: @samtripoli, @johnnywoodard Instagram: @samtripoli, @johnnyawoodardBroken Simulation Hosts: Sam Tripoli, Johnny Woodard

Timestamps:5:18 - Nukes in Play/Icebreaker Content29:46 - Foreign Policy Round-up52:53 - Thiel TakeoverWelcome to The Morning Dump, where we dive headfirst into the deep end of the pool of current events, conspiracy, and everything in between. Join us for a no-holds-barred look at the week's hottest topics, where we flush away the fluff and get straight to the substance.Please consider supporting my work- Patreon- https://www.patreon.com/nowayjose2020 Only costs $2/month and will get you access to episodes earlier than the publicNo Way, Jose! Rumble Channel- https://rumble.com/c/c-3379274  No Way, Jose! YouTube Channel- https://youtube.com/channel/UCzyrpy3eo37eiRTq0cXff0g My Podcast Host- https://redcircle.com/shows/no-way-jose Apple podcasts- https://podcasts.apple.com/us/podcast/no-way-jose/id1546040443 Spotify- https://open.spotify.com/show/0xUIH4pZ0tM1UxARxPe6Th Stitcher- https://www.stitcher.com/show/no-way-jose-2 Amazon Music- https://music.amazon.com/podcasts/41237e28-c365-491c-9a31-2c6ef874d89d/No-Way-Jose Google Podcasts- https://www.google.com/podcasts?feed=aHR0cHM6Ly9mZWVkcy5yZWRjaXJjbGUuY29tL2ZkM2JkYTE3LTg2OTEtNDc5Ny05Mzc2LTc1M2ExZTE4NGQ5Yw%3D%3DRadioPublic- https://radiopublic.com/no-way-jose-6p1BAO Vurbl- https://vurbl.com/station/4qHi6pyWP9B/ Feel free to contact me at thelibertymovementglobal@gmail.com#ThielTakeover #PeterThielTakeover #ThielRevolution #Thiel2028 #ThielEra #TheGreatThielTakeover #ThielRising #ThielDominance #ThielMovement #TeamThiel #FentanylFastAndFurious #FastAndFuriousFentanyl #FentanylFFF #FentanylScandal #StopFentanylFlow #FentanylBorderCrisis #EndTheFentanylFlow #FentanylBetrayal #FastFuriousFentanyl #ExposeFentanylFFF

DR1Our Tech OverlordsIn our 'Elon Musk's alibi to police was, "It couldn't be my fault; I haven't been at Tesla since they passed my pay package."' headline of the week. Tesla Under Fire After Car Smashes Into Texas Home and Kills 76-Year-Old Grandmother*************** In our 'Hello, my name is Jeff, I have a younger brother and sister, my favorite food is Betty Crocker pancakes, and I am a Coupon-ism major at Columbia University' headline of the week. Jeff Bezos Called Washington Post His Worst Investment and Staff He Laid Off ‘Terrible' People*************** LivingSocial (Written Down 2016): In 2010, Amazon poured $175 million into this daily-deals competitor to Groupon. The daily-deals craze fizzled out quickly, and six years later, LivingSocial was acquired by Groupon for effectively $0In our 'Just tell them it will make their Netflix better' headline of the week. Head of Microsoft Rages at His Fellow CEOs for Admitting What They're Actually Doing to Society With AI*************** “You can't say, hey, all white-collar jobs are gone and this could even be a weapon and we will use all the power to build data centers,” Nadella explained(Microsoft's own AI CEO Mustafa Suleyma, it's worth noting, very recently claimed that AI was on the verge of performing most “professional tasks.”)Nadella is now pushing an approach that factors in the common worker, criticizing those who get excited to announce AI-driven layoffs. “No, how about we think about reorganizing the jobs?”In our 'Mark has super-duper pinky-promised to stop using his $150,000 Patek Philippe watch to time exactly how long it takes a developer to cry' headline of the week. Meta CTO Admits Mark Zuckerberg Has Completely Crushed Employee Spirits*************** In our 'Hey Ma, every time I click on this ad it wipes my butt, buys a dozen frozen turkey burgers, and breaks up with my girlfriend, tell Dad!' headline of the week. These new Amazon ads don't just recommend products—they can make your purchases for you***************MM1In our 'What if I replace the Oreo knockoff brand Kroger Chocolate Lovers Kid-O's with Hydrox in the vending machines? Will you like working here again?' headline of the week. Meta Floats Bigger Snack Budget After AI Shakeup Tanks Employee MoraleIn our 'What if I make it LOOK LIKE your job isn't harming children, so you can tell your Mom at Thanksgiving, "no, we don't hurt children, that's ridiculous!"? Will you like working here again?' headline of the week. Meta lobbies Congress for immunity from lawsuits alleging online harm to childrenIn our 'OK, what if I replace the HYDROX with ACTUAL OREOS in the vending machines? Not even Elon Musk would do that - would you like working here again?' headline of the week. X tells 'neglected' Meta employees that it is hiring and will 'exceed any snack budget offer'In our 'I should have gotten the worst possible grade for GOVERNANCE, not ENVIRONMENT... don't you people read?' headline of the week. Musk Furious After SpaceX Stock Get Worst Possible Environmental GradeIn our 'Free Float data already created influence metrics, says, "make your own ESG data, jerk"' headline of the week. Inside Peter Thiel's Invite-Only Dialog Network: Secret A-B-C Grading System for Billionaires and PoliticiansGrades are assigned based on factors including fame, wealth, influence and political fit: C ratings go to the most prominent figures, A to those who are established but less high-profile, and B to most othersDR2The StupidIn our 'Target screams, you're supposed to fake fire your CEO and make him Executive Chair and promote the COO in times of internal crisis!' headline of the week. Lucid Motors Fires 18% of Workforce and Axes COO Marc Winterhoff as EV Market Slowdown Hits Hard*************** In our 'Target screams, yes exactly!' headline of the week. Domino's names COO Joe Jordan as new CEO amid slowing sales***************Outgoing CEO Russell Weiner will transition to executive chairmanIn our 'Group of experts suggest painting the pool blue to get rid of the problem' headline of the week. ‘ESG Hasn't Gone Away': Group Urges Trump, SEC to Rein In ‘Big Three' Asset Managers' Voting Power Long Term*************** Bull Moose Institute: 8 men, 0 women: ran by Aiden Buzzetti, President | 1776 Project Foundation & Bull Moose ProjectIn our 'Soccer 1, Child Care 0' headline of the week. After forcing workers back to the office, Goldman Sachs and JPMorgan Chase are now letting their staff work remotely—but only for the World Cup*************** In our 'Board members include Kimbal Musk, O.J. Simpson, Dana White, Rebekah Neumann, Elizabeth Holmes, Richard Sackler, John R. Tyson, and John T. Walton' headline of the week. Trump Forms UFO Board to Investigate 'Mothership' Orb Threat Over Sensitive National Security SiteJohn T. Walton (1992-2005), the billionaire son of Walmart founder Sam Walton, died in 2005, when the home-built experimental ultralight aircraft he was piloting crashedUnlike siblings Rob and Jim Walton, who took executive roles, John's involvement emphasized oversight without deep immersion in merchandising or supply chain functionsMM2In our 'Blackrock announces funding a reboot of the movie The Highlander called The Gay Highlander: There Can Be Only One' headline of the week. With the exits of Apple's Tim Cook and Dow's Jim Fitterling, the Fortune 500 is losing two groundbreaking gay CEOs—leaving just one In our 'Lying sociopath is 100% excited about making money, 74% excited about taking a bath, 29% excited to go home to his baby, and 12% excited to eat Hydrox' headline of the week. Sam Altman was ‘0%' excited to be a CEO of a public company—but OpenAI is taking steps to compete in the AI IPO blitz anywayIn our 'Lying sociopath hires man accused of aiding suicide to build product that will destroy humanity' headline of the week. OpenAI Just Hired a Guy Accused of Terrible ThingsNoam Shazeer, cofounder of Character.AI who has been accused of having an AI chatbot that rooted for their customer's suicidesIn our 'Lying sociopath who hired man accused of aiding suicides for product designed to destroy humanity thinks the product will be able to do it by next Christmas' headline of the week. Sam Altman thinks AI will surpass human intelligence by 2030. His rival AI billionaires say it'll be even soonerIn our 'Man who owns everything and has all the money suggests you try out whittling or become a cobbler' headline of the week. Nvidia CEO Jensen Huang says electricians and plumbers will be needed by the hundreds of thousands in the new working world

Become a supporter of this podcast: https://www.spreaker.com/podcast/the-opperman-report--1198501/support.

Subscribe to my Patreon or newsletter to listen to the full episode!SUPPORT MY WORK: Buy a paid subscription to my newsletter at usermag.co Support my work on Patreon: http://patreon.com/taylorlorenz Over the past few months, Peter Thiel has become fully infatuated with Argentina. He bought a house there, enrolled his kids in school, has been attending local soccer matches, playing chess with locals, and the Argentine government is exploring offering the billionaire permanent residence and citizenship.But why Argentina? Why now? Ryan Mac is a reporter at the New York Times and he's been covering Peter Theil's increased fascination with the country. Today, he's joining me to unpack Thiel's new obsession, and why other billionaires also seem taken by Argentina lately.

"Stell dich nicht so an." "Das war doch gar nicht so schlimm." "Andere haben es viel schwerer gehabt." Diese Sätze haben viele von uns gehört. Vielleicht sogar geglaubt. Aber was, wenn genau diese Sätze das Problem sind? In dieser Folge spreche ich mit Dr. Aylin Thiel – Diplompsychologin, Psychotherapeutin und Traumaexpertin, über das Thema, über das wir viel zu selten reden: Entwicklungstrauma. Nicht das große, einmalige Ereignis. Sondern die kleinen, wiederholten Momente, die sich ins Nervensystem eingebrannt haben. Das "Lauf mir nicht zwischen die Füße." Das "Du bist so undankbar." Das Schweigen, wo Worte gebraucht worden wären. Kinder hören nie auf, ihre Eltern zu lieben. Sie hören auf, sich selbst zu lieben. Und das ist der Kern von allem. Aylin erklärt, warum Entwicklungstrauma so schwer zu erkennen ist und warum so viele Menschen erst mit 30, 40 oder 50 Jahren verstehen, warum sie sich ihr Leben lang klein gefühlt haben. Warum äußerer Erfolg innerlich nie ankommt. Warum wir People-Pleaser werden, uns zurückziehen oder sofort in den Angriff gehen und dass all das kein Charakterfehler ist, sondern ein Schutzschild. Du wirst in dieser Folge verstehen, was dein Körper dir schon lange sagen will. Und warum das Mutigste, was du tun kannst, ist: dir selbst zuzuhören. Denn du warst nie das Problem. Der Link zu meinem neuen Buch: https://amzn.eu/d/0darvMTo

Last week a document leaked showed that Palantir and PayPal co-founder Peter Thiel is set to hold a secret conference for an elite network of over 220 tech, financial and political figures in Wexford in August.Since the leak, there have been numerous calls for the secret retreat to be cancelled over Thiel's links to Donald Trump and Palantir's previous work with ICE in the US, the American military and the Israeli military.Joining Shane to discuss is Labour Senator Laura Harmon.

Become a supporter of this podcast: https://www.spreaker.com/podcast/the-opperman-report--1198501/support.

Peter Thiel and JD Vance are building a future that doesn't need God — and Pope Leo XIV is the one man with the standing to call it what it is. In this episode of the Culture, Faith, and Politics Podcast, Pat Kahnke sits down with Mark Ramm to unpack the collision between Silicon Valley's most powerful MAGA billionaire and the Vatican's vision of what it means to be human. Peter Thiel has openly framed anyone who wants to restrain technology — including the Pope — as a "Luddite," and in his own lectures, a force of the Antichrist. When a New York Times interviewer asked Thiel whether the human race should even survive, he hesitated. That pause tells you everything about the worldview now funding the MAGA movement through his protégé, Vice President JD Vance.

SPONSORS: 1) GHOSTBED: Go to GhostBed.com/julian for the 4th of July Sale, which gives you $200 off mattress bundles and get an extra 10% off on top of that with code JULIAN. 2) HEXCLAD: Find your forever cookware @hexclad and get 10% off at hexclad.com/JULIAN #hexcladpartner JOIN PATREON FOR EARLY UNCENSORED EPISODE RELEASES: https://www.patreon.com/JulianDorey CLIPPERS DISCORD: https://discord.gg/8QmWEKJ3BT (***TIMESTAMPS in Description Below) ~ Tommy G is a Documentarian, Journalist, Entertainer & YouTuber. His Channel (“Tommy G”) has amassed over 3 Million Subscribers to date. TOMMY G's LINKS: YT: ​​https://www.youtube.com/@TommyGMcGee IG: https://www.instagram.com/tommygmcgee/reels/?hl=en FOLLOW JULIAN DOREY INSTAGRAM (Podcast): https://www.instagram.com/juliandoreypodcast/ INSTAGRAM (Personal): https://www.instagram.com/julianddorey/ X: https://twitter.com/julianddorey JULIAN YT CHANNELS - SUBSCRIBE to Julian Dorey Clips YT: https://www.youtube.com/@juliandoreyclips - SUBSCRIBE to Julian Dorey Daily YT: https://www.youtube.com/@JulianDoreyDaily - SUBSCRIBE to Best of JDP: https://www.youtube.com/@bestofJDP ****TIMESTAMPS**** 0:00 - Flock Safety Surveillance 8:52 - FISA & Freedom 22:04 - Journalism Ethics 37:13 - Two-Tier Justice 47:33 - Netanyahu & Politics 1:05:55 - Bilderberg & Massie 1:16:26 - Trump's Turning Point 1:22:43 - Military Merger 1:40:07 - Life Philosophy 2:02:00 - Peter Thiel Escape 2:15:31 - Elite Bunker Plans 2:24:19 - Tommy's Work CREDITS: - Host, Editor & Producer: Julian Dorey - COO, Producer & Editor: Alessi Allaman - https://www.youtube.com/@UCyLKzv5fKxGmVQg3cMJJzyQ - In-Studio Producer: Joey Deef - https://www.instagram.com/joeydeef/ Julian Dorey Podcast Episode 437 - Tommy G Music by Artlist.io Learn more about your ad choices. Visit podcastchoices.com/adchoices

A leak of private information purportedly related to an ultra-secret society called “Dialog” founded by PayPal billionaire Peter Thiel has revealed the inner workings of an elite group to which hundreds of global leaders, business executives and billionaires belong. The documents, examined and revealed by Wired this week, show Thiel and investor Auren Hoffman co-founded Dialog in 2006 as a private, invitation-only and “bipartisan” network of influential people in technology, politics, academia, finance, government and beyond.  Dialog describes itself as a place for off-the-record relationships among leaders from different fields and ideological backgrounds, and the group hosts at least one in-person retreat per year at at lavish locations like the Ritz-Carlton Dove Mountain in Arizona, the Ritz Carlton in Santa Barbara, California and the San Clemente Palace in Venice. Learn more about your ad choices. Visit megaphone.fm/adchoices

────────────────────────────────────────[00:02:56]Final MOU Green-Lights an Iran-Oman Toll Regime on the Strait30 days for Iran and Oman to define maritime administration; Knight: buying his way out of a tar baby.────────────────────────────────────────[00:05:58]Vance Claims Anytime-Anywhere Inspections — Not a Word of That Is in the MOUNeither the original nor final version contains inspection language.────────────────────────────────────────[00:12:33]$300B Iran Fund Tops Double the Inflation-Adjusted Marshall PlanMarshall Plan: $137B in 2025 dollars across a dozen nations; this goes to Iran alone after $113B in US bombs.────────────────────────────────────────[00:20:00]Trump Denied the Fund Exists Mid-Press Conference — Then Described How It WorksCalled it false, then explained the funding mechanism in the same breath.────────────────────────────────────────[00:26:12]Pentagon Budget Just Hit $1 Trillion — Hegseth Now Wants 50% MorePost-Iran war request; taxpayers paid for the bombs and will pay for the rebuild.────────────────────────────────────────[00:58:47]Knight Predicts Israel Sabotages the Deal Before 60 Days Are UpZionist media trained on Trump; he'll fold, restart the war, and blame Iran.────────────────────────────────────────[01:29:03]Palantir Got $1B+ in Contracts After Donating to Trump's BallroomThiel's Dialogue leak confirms Epstein attended; members asked if they were "looking for love."────────────────────────────────────────[01:30:36]Thiel's Secret Elite Network "Dialogue" Gets Hacked — Full Member Data ExposedNever had a public website; leaked: birth dates, mobiles, emergency contacts, 2031 predictions.────────────────────────────────────────[01:33:14]Nvidia CEO Says America Must Adapt to AI — Society Needs New Social NormsHwang demands mandatory adoption; Knight: corporations used to ask what people wanted, now mandate it.────────────────────────────────────────[02:01:27]UK Rape Inquiry: Girls as Young as 13 Forcibly Married Under Sharia, State Facilitated ItSocial workers attended; one victim had eight forced abortions; fostering payments went to abusers. ──────────────────────────────────────── Money should have intrinsic value AND transactional privacy: Go to https://davidknight.gold/ for great deals on physical gold/silver For 10% off Gerald Celente's prescient Trends Journal, go to https://trendsjournal.com/ and enter the code “KNIGHT” For high quality made in America products go to HomeSteadProducts.shop and use promo code “Knight” for 10% off your purchases Find out more about the show and where you can watch it at TheDavidKnightShow.com If you would like to support the show and our family please consider subscribing monthly here: SubscribeStar https://www.subscribestar.com/the-david-knight-show Or you can send a donation throughMail: David Knight POB 994 Kodak, TN 37764Zelle: @DavidKnightShow@protonmail.comCash App at: $davidknightshowBTC to: bc1qkuec29hkuye4xse9unh7nptvu3y9qmv24vanh7Become a supporter of this podcast: https://www.spreaker.com/podcast/the-david-knight-show--2653468/support.

────────────────────────────────────────[00:02:56]Final MOU Green-Lights an Iran-Oman Toll Regime on the Strait30 days for Iran and Oman to define maritime administration; Knight: buying his way out of a tar baby.────────────────────────────────────────[00:05:58]Vance Claims Anytime-Anywhere Inspections — Not a Word of That Is in the MOUNeither the original nor final version contains inspection language.────────────────────────────────────────[00:12:33]$300B Iran Fund Tops Double the Inflation-Adjusted Marshall PlanMarshall Plan: $137B in 2025 dollars across a dozen nations; this goes to Iran alone after $113B in US bombs.────────────────────────────────────────[00:20:00]Trump Denied the Fund Exists Mid-Press Conference — Then Described How It WorksCalled it false, then explained the funding mechanism in the same breath.────────────────────────────────────────[00:26:12]Pentagon Budget Just Hit $1 Trillion — Hegseth Now Wants 50% MorePost-Iran war request; taxpayers paid for the bombs and will pay for the rebuild.────────────────────────────────────────[00:58:47]Knight Predicts Israel Sabotages the Deal Before 60 Days Are UpZionist media trained on Trump; he'll fold, restart the war, and blame Iran.────────────────────────────────────────[01:29:03]Palantir Got $1B+ in Contracts After Donating to Trump's BallroomThiel's Dialogue leak confirms Epstein attended; members asked if they were "looking for love."────────────────────────────────────────[01:30:36]Thiel's Secret Elite Network "Dialogue" Gets Hacked — Full Member Data ExposedNever had a public website; leaked: birth dates, mobiles, emergency contacts, 2031 predictions.────────────────────────────────────────[01:33:14]Nvidia CEO Says America Must Adapt to AI — Society Needs New Social NormsHwang demands mandatory adoption; Knight: corporations used to ask what people wanted, now mandate it.────────────────────────────────────────[02:01:27]UK Rape Inquiry: Girls as Young as 13 Forcibly Married Under Sharia, State Facilitated ItSocial workers attended; one victim had eight forced abortions; fostering payments went to abusers. ──────────────────────────────────────── Money should have intrinsic value AND transactional privacy: Go to https://davidknight.gold/ for great deals on physical gold/silver For 10% off Gerald Celente's prescient Trends Journal, go to https://trendsjournal.com/ and enter the code “KNIGHT” For high quality made in America products go to HomeSteadProducts.shop and use promo code “Knight” for 10% off your purchases Find out more about the show and where you can watch it at TheDavidKnightShow.com If you would like to support the show and our family please consider subscribing monthly here: SubscribeStar https://www.subscribestar.com/the-david-knight-show Or you can send a donation throughMail: David Knight POB 994 Kodak, TN 37764Zelle: @DavidKnightShow@protonmail.comCash App at: $davidknightshowBTC to: bc1qkuec29hkuye4xse9unh7nptvu3y9qmv24vanh7Become a supporter of this podcast: https://www.spreaker.com/podcast/the-real-david-knight-show--5282736/support.

Palantir is supposed to be a surveillance-tech company. So why are elite power networks around its co-founder showing up in stories about secret retreats, billionaire “dialogue,” sexual politics, and influence laundering?This episode breaks down the alleged Dialog network, the Thiel-world pipeline, and the strange way powerful people rebrand access, ideology, and control as “conversation.”Volunteers Wanted: Palantir's Secret Elite Sex Cult is not a conspiracy board. It is a guided tour through the receipts, the euphemisms, and the question nobody in power wants asked:What exactly are these people recruiting for?robotcrimeblog.com

Abstract ideas made definite.In this episode of Mere Mortals book reviews, I dive into Peter Thiel's 'Zero To One' and why its big-picture thinking resonates more than tactical business how‑to. I explore Thiel's blend of abstract philosophy and concrete startup stories (from PayPal to Palantir) and discuss his contrarian takes on competition, monopoly and the value of being the last mover. I unpack the optimistic vs pessimistic, determinate vs indeterminate lens Thiel uses to read cultures and markets and why these frames can guide founders to build something truly unique rather than drift into “zombie company” territory. I share what made the book engaging for me, where it might fall short if you're after nuts-and-bolts execution and who I think will get the most out of it. Ultimately, it's a concise, idea-rich read that can reorient how you think about differentiation, market definition and creating from zero to one.If you got value from the podcast please provide support back in any way you best see fit!Timeline:(00:00:00) Intro(00:00:35) Introducing Zero to One by Peter Thiel(00:04:27) Contrasting with other business classics(00:07:41) Why high‑level ideas can beat operational minutiae(00:11:03) Who is Peter Thiel? Background and ventures(00:12:52) Verdict: a solid read for entrepreneurs(00:14:00) Value for Value: how to support the show(00:15:08) What's next: upcoming book reviews Connect with Mere Mortals:Website: https://www.meremortalspodcasts.com/Discord: https://discord.gg/Xs9DjsurFqTwitter/X: https://twitter.com/meremortalspodsInstagram: https://www.instagram.com/meremortalspodcasts/TikTok: https://www.tiktok.com/@meremortalspodcastsValue 4 Value Support:Website: https://www.meremortalspodcasts.com/supportPaypal: https://www.paypal.com/paypalme/meremortalspodcast

Sebastian Mallaby (@scmallaby) is the Paul A. Volcker senior fellow for international economics at the Council on Foreign Relations, a two-time Pulitzer Prize finalist, and the author of six books, including More Money Than God, The Power Law, The Man Who Knew, and The World's Banker. His latest book is The Infinity Machine: Demis Hassabis, DeepMind, and the Quest for Superintelligence.This episode is brought to you by:Eight Sleep Pod Cover 5 sleeping solution for dynamic cooling and heating: EightSleep.com/TimAG1 Pro all-in-one nutritional supplement: DrinkAG1.com/TimWealthfront high-yield cash account: Wealthfront.com/Tim Wealthfront disclaimer: New clients get 3.30% base APY from program banks + additional 0.75% boost for 3 months on your uninvested cash (max $150k balance). Terms and conditions apply. The Cash Account offered by Wealthfront Brokerage LLC (“WFB”) member FINRA/SIPC, not a bank. The base APY as of 1/30/26 is representative, can change, and requires no minimum. Tim Ferriss, a non-client, receives compensation from WFB for advertising and holds a non-controlling equity interest in the corporate parent of WFB, which creates a conflict of interest. Individual experiences and outcomes will differ. Instant withdrawals may be limited by your receiving firm and other factors. Investment advisory services provided by Wealthfront Advisers LLC, an SEC-registered investment adviser. Securities investments: not bank deposits, not bank-guaranteed or FDIC-insured, and may lose value.*Timestamps[00:00:00] Start.[00:02:11] The twinkly eyed polymath who became Sebastian's next book.[00:06:55] Picking the next book project the way a great VC picks a startup.[00:09:41] Why God keeps crashing the superintelligence party.[00:11:13] Shane Legg's grainy 2009 prophecy — and the nervous giggle.[00:13:11] Ilya Sutskever burns an effigy.[00:13:54] Demis at 4 a.m., hunting God's algorithm.[00:18:43] Super-abundance, Mad Max, and the China shock lesson.[00:22:39] The kitchen debate with Geoff Hinton that flipped Sebastian.[00:24:06] Why a zero-percent chance of doom is indefensible.[00:24:52] Will Washington seize the labs? The Mythos wake-up call.[00:27:18] Anthropic's bull case, bear case, and a dead parent's letter.[00:33:24] Where Sebastian and Benedict Evans part ways.[00:38:16] Is the SaaS apocalypse overdone? One word: Palantir.[00:39:53] The AI friend you'll never switch.[00:41:56] Does Google win consumer AI by default?[00:44:45] Four cities, eight days: China actually talks safety.[00:47:28] A Cold War non-proliferation playbook for AI.[00:49:45] Did the chip export controls actually work?[00:51:49] Burned doves: why Washington swears China won't talk.[00:54:56] "By 2028, the race is over" — one lab boss' bet.[00:59:11] Inside Hikvision: toddlers, sensors, and US sanctions.[01:01:07] Bill Gurley's Uber bet: venture capital perfected.[01:05:18] Luke Nosek bear-hugs DeepMind into existence.[01:10:52] Thiel's heresy: never invest by committee.[01:11:59] How Founders Fund nearly fumbled the deal of the century.[01:14:30] Selling to Google for $650M: a secret British heist?[01:16:41] The Traitorous Eight, gardening leave, and the UK's to-do list.[01:20:55] Ender's Game: "That's really how I see myself."[01:23:42] Too dumb for Gödel, Escher, Bach? Maybe an LLM can help.[01:25:19] If not Demis or Sam, then Dario.[01:26:04] My royalties cliff — and what dropped in late 2022.[01:27:47] Lila Sciences and the labs that run themselves.[01:31:13] Sebastian's billboard: "Prepare your mind."[01:35:14] The one thing Sebastian will never outsource to AI.[01:40:09] Parting thoughts.For show notes and past guests on The Tim Ferriss Show, please visit tim.blog/podcast.For deals from sponsors of The Tim Ferriss Show, please visit tim.blog/podcast-sponsorsSign up for Tim's email newsletter (5-Bullet Friday) at tim.blog/friday.For transcripts of episodes, go to tim.blog/transcripts.Discover Tim's books: tim.blog/books.Follow Tim:Twitter: twitter.com/tferriss Instagram: instagram.com/timferrissYouTube: youtube.com/timferrissFacebook: facebook.com/timferriss LinkedIn: linkedin.com/in/timferrissSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Palantir was not born in a garage. It was commissioned by the CIA director who oversaw 9/11, brokered by the neoconservative architect of the Iraq War, and handed to Peter Thiel and Alex Karp as a private commercial replacement for the Total Information Awareness Office after Congress shut it down in 2003. In this episode, Matt Ehret walks through what Palantir actually is, who built it, who it serves, and why a company that named itself after the all-seeing eye of Sauron now manages the intelligence, policing, banking, and military systems of most of the Western world. He also examines Thiel's Straussian philosophy, his belief that freedom and democracy are incompatible, his obsession with the antichrist he claims to fear but appears to be building, and the fact that his Palantir UK CEO got the job after the interviewer stood up and recited an Oswald Mosley speech from memory. From the inside, it looks like a tech company. From the outside, it looks like something else entirely.

In dieser Folge aus der Serie "SPEZIAL Was lernen wir durch Trump?" widmet sich Gast-Host Michel Reimon dem Milliardär Peter Thiel, der Strömung der „dunklen Aufklärung“ und ihrer Rolle im politischen Projekt von Donald Trump – mit Blick auf Auswirkungen auf Europa und Österreich. Der Theologe Wolfgang Palaver schildert seine dreißigjährige Gesprächsbeziehung zu Thiel und verteidigt die Idee, Thiel öffentlich kritisch zu befragen, um Widersprüche und Gefahren seiner antidemokratischen Positionen sichtbar zu machen, statt ihn symbolisch „auszuladen“. Claudia Zettel hält dem entgegen, dass Thiels Ablehnung von Demokratie, Frauenwahlrecht und Gleichberechtigung längst offen dokumentiert sei und öffentliche Bühnen ihn eher normalisieren als entlarven. Im Zentrum steht die Ideologie der „dunklen Aufklärung“, die Gleichwertigkeit und Demokratie verwirft, technokratische CEO-Herrschaft und radikale technologische Beschleunigung propagiert und in libertären wie rechtsautoritären Netzwerken verankert ist. Die Runde diskutiert, wie Tech-Eliten wie Thiel, Elon Musk und andere Silicon-Valley-Akteure rechtspopulistische Bewegungen in den USA und Europa fnanzieren oder instrumentalisieren und damit Regulierungen, insbesondere der EU, zu unterlaufen versuchen. Aus europäischer Perspektive werden Versäumnisse bei Digitalisierung, KI, Plattformregulierung und strategischer Souveränität thematisiert, von der Abhängigkeit von US-Techkonzernen über Rüstungspolitik bis hin zur verschleppten Energiewende. Palaver und Zettel sprechen darüber, wie sich Europas Demokratien zwischen Effzienzversprechen des Marktes und dem politischen Anspruch auf Gleichheit und Solidarität behaupten können, ohne in nationalstaatlichem Kleinklein stecken zu bleiben. Am Ende verweist Palaver auf sein Buch „Medienmassen“ im Karl-Auer-Verlag zur technologisch-medialen Revolution und der Dunkelaufklärung und die Notwendigkeit, dem ideologischen Projekt der Tech-Eliten eine selbstbewusste, europäische demokratische Antwort entgegenzusetzen. Links zur Folge: Buch "Survival of the Richest" von Douglas Rushkoff (Morawa) Buch "Magnifica Humanitas" von Papst Leo XVI (Morawa) Buch "Medienmassen" von Michel Reimon (Carl-Auer-Verlag) Ganz offen gesagt #70 2025 „Trump, wie ein König – mit Ralph Janík" Ganz offen gesagt #2 2026 „Über Trump, Venezuela und die Folgen – mit Martin Weiss“ Ganz offen gesagt #19 2026 „Was lernen wir durch Trump? – Teil 1“ Link zu unserem aktuellen Werbepartner "DIe Presse":http://diepresse.com/ganzoffengesagtCode: ganzoffengesagtWir würden uns sehr freuen, wenn Du "Ganz offen gesagt" auf einem der folgenden Wege unterstützt:Werde Unterstützer:in auf SteadyKaufe ein Premium-Abo auf AppleKaufe Artikel in unserem FanshopSchalte Werbung in unserem PodcastFeedback bitte an redaktion@ganzoffengesagt.atTranskripte und Fotos zu den Folgen findest Du auf podcastradio.at

Send us Fan MailThe MZ Farms/USHJA Emerging Athletes Program (EAP) is a development initiative run by the U.S. Hunter Jumper Association to help up-and-coming riders build both their riding skills and their horsemanship knowledge. Created in 2009, the program has become a launching pad for many riders who've gone on to succeed in major equitation and jumper finals, including the USEF Show Jumping Talent Search, the ASPCA Maclay, and USEF Prix des States, among others. The program is open to junior, amateur, and professional members ages 12 and older as of December 1 of the current competition year, with sections offered at 0.90-meter and 1.0-meter fence heights. To apply, riders must meet eligibility requirements, submit an application and fee, gather recommendation forms, and pass a Horsemanship Quiz Challenge with a score of at least 80%. Riders accepted into the program begin with a five-day Regional Training Session, where they work directly with top riding clinicians and stable managers on flatwork, gymnastics, related distances, course work, and a full stable-management curriculum covering grooming, horsemanship, and barn management. Participants bring and care for their own horses throughout the session. From there, 16 riders are selected to advance to the National Training Session, chosen based on their performance and potential during the regional sessions, with eligibility limited to members ages 12 to 25. A select group of standout non-riders may also be invited to attend as stable managers. The national session is a multi-day intensive held with top clinicians — for 2026, that's Joe Fargis for riding and Colleen Reed for stable management, hosted at Midway University in Kentucky. Financial support is also part of the program: the USHJA Foundation awards up to $6,000 total in grants to help offset costs for EAP participants, with individual grants capped at $500. EAP combines hands-on riding instruction with serious horsemanship education, aiming to produce well-rounded equestrians — not just skilled riders, but knowledgeable horsemen and women who understand every aspect of caring for their horses.-- The USHJA Zone Jumper Championships are a series of regional team and individual competitions for Junior and Amateur jumper riders, held across the USHJA's geographic zones each summer. There are actually a few related programs under this umbrella, organized by fence height.The 1.00/1.05m Junior/Amateur Zone Jumper Championships give riders a competitive team experience and a chance to earn Zone Horse of the Year points in their respective sections, with championships held by zone consisting of both team and individual competition. To qualify, riders submit an application and must accumulate at least 20 points in their section at USEF-licensed competitions during the qualifying period. At the higher end, the Markel/USHJA Zone Jumper Team Championships serve Junior and Amateur Jumper riders in the 1.10/1.15m and 1.20/1.25m divisions, while the related Platinum Jumper Championships cover even higher sections. Competitors in these championships are considered USHJA Emerging Jumper Riders for that year and have the opportunity to earn the title of USHJA Gold Star Emerging Jumper Rider, along with a spot at a USHJA Gold Star Clinic. For 2026, the championships are organized regionally — Northeast (Zones 1-2), South (Zones 3, 4, 7), North Central (Zones 5-6), and West (Zones 8-10) — each hosted at a different venue, with riders from Zones 11 and 12 free to choose whichever championship location they'd like to attend. New this year, jump-offs will be used to break ties for Individual and Team Gold, Silver, and Bronze medals. To enter, riders must submit an application with a $75 non-refundable fee and earn at least 20 qualifying points in their section at USEF-licensed shows before their zone's deadline. Submitting an application doesn't commit a rider to attend, but it does let their points count toward qualification. Individual medalists also earn a notable perk: an invitation to a USHJA Gold Star Clinic of their choice within two years, offering four days of mounted and unmounted instruction from leading clinicians. Altogether, the Zone Jumper Championships give developing jumper riders a structured path toward team competition experience, individual recognition, and continued mentorship — bridging the gap between regular show circuit competition and higher-performance opportunities.theplaidhorse.comThank you so much for joining us today on the Plaidcast. This podcast is a labor of love, and every single episode exists because of this incredible community of riders, trainers, barn managers, parents, and horse lovers who show up in the barn, in the ring, and right here with us.At The Plaid Horse, our commitment goes far beyond the show ring. We believe deeply in the power of literacy and education and that every rider, at every level, deserves access to knowledge, stories, and ideas that make them a better horseperson and a better human being. Reading matters. Learning matters. And the stories we tell each other in this sport matter more than we sometimes realize.Whether you are a junior rider picking up your first copy of The Plaid Horse  Magazine, a professional trainer looking for inspiration, or someone who simply loves horses and everything this world stands for then this community is for you. You belong here.We build this together. Every article, every episode, every conversation is an opportunity to learn something new, to feel less alone in the challenges of this sport, and to be reminded of why we fell in love with horses in the first place.Until next time, keep reading, keep learning, keep riding, and remember that the horse world is better when we build it together. I will see you at the ring!

"Bitcoin is not physical gold. You can kill Bitcoin." Matthew Kratter — who runs Bitcoin University, did a PhD in literature under René Girard, and ran global macro at Peter Thiel's hedge fund — joins the show to explain why he now holds nearly everything he owns in Bitcoin, and why he's become one of the loudest voices warning that Bitcoin is under attack from the inside. We trace the improbable path first: from Girard's seminar table to growing Thiel's $50M Roth into a $2 billion fund, and the 20 years trading that taught him to spot financial engineering "traps" — the same TradFi tricks he says are now being smuggled back into Bitcoin. Then it turns to the civil war happening right now: how Bitcoin Core blew open OP_RETURN and "went rogue," why spam and CSAM are an existential risk to node runners, what BIP-110 actually does, and who really controls the network (hint: not the miners, devs, or exchanges). His thesis throughout — consensus flows from culture — and his answer to all of it: stop being a spectator, run a node, and mine from home. Subscribe so you never miss an episode.

Tech-Milliardär Peter Thiel sammelt keine Briefmarken, sondern Wohnorte. Aktuell hat es ihm Argentinien besonders angetan. WDR 2 Satirikerin Barbara Ruscher über Macht, Geld und besondere Visionen. Von Barbara Ruscher.

En esta segunda parte de nuestra serie sobre inteligencia artificial, exploramos una pregunta decisiva para el siglo XXI: ¿quién controlará el poder cuando los algoritmos sean más influyentes que los parlamentos? A partir de la encíclica de León XIV sobre inteligencia artificial, analizamos el surgimiento de nuevas élites tecnológicas, la concentración del poder económico y político en Silicon Valley, la militarización de la IA, el papel de empresas como Palantir y Anduril, y los desafíos que enfrentan la democracia, la libertad y la dignidad humana. Una conversación sobre tecnología, poder, guerra y el futuro de la civilización.Conviértete en un supporter de este podcast: https://www.spreaker.com/podcast/bestiario-politico--2866580/support.

“Trust is built through very small moments,” says Julie Thiel of TTS Company. In this Telecom Reseller podcast, Doug Green speaks with Thiel about how MSPs, channel partners and growing technology businesses can strengthen leadership, retention and performance through everyday interactions with employees. Thiel says HR is often misunderstood as paperwork, compliance or “the fun police.” In reality, she says, effective people practices are about leadership and helping businesses grow. For smaller entrepreneurial companies, that means building trust with employees through regular conversations, follow-through, recognition and simple moments of human connection. The discussion focuses on the idea that leadership is not built only through major decisions or formal speeches. It is built through small, repeated actions: asking how someone is doing, remembering what matters to them, listening a little longer, and making time for regular one-on-one conversations. Thiel says those small moments can make difficult conversations easier later, whether a manager needs to give feedback, address a client issue or ask an employee to take on new responsibilities. When trust already exists, employees are more likely to hear feedback constructively and bring forward ideas, concerns and opportunities. For MSPs and channel companies that may not be able to compete with larger employers on compensation alone, Thiel says relationship-building can become a competitive advantage. Smaller businesses can often offer flexibility, development opportunities and direct access to customers in ways larger organizations cannot. The conversation also connects leadership and trust to company value. Thiel says businesses with stable teams, low turnover and developing leaders are better positioned for growth, succession and potential acquisition. Learn more at thettscompany.com.

El individuo soberano visualiza un futuro en el que las ciudad-estado rompen el actual monopolio de los estado-nación. El inversor Balaji lanzó el proyecto de los network state con este preciso fin, su objetivo era el de trasladar una comunidad online de emprendedores a un territorio que buscaría en última instancia el reconocimiento diplomático de los estados preexistentes. Alex, que ha vivido en una de estas comunidades, te cuenta todo lo que siempre quisiste saber sobre la sociedad del futuro.Kapital es posible gracias a sus colaboradores:⁠TaxDown⁠. Tus impuestos bien hechos⁠.¿Declaras bien tus inversiones? Este año, si tienes inversiones, hay nuevos cambios y regulaciones que tienes que saber (DAC8, modelo 721, normativa europea), así que es clave hacerlo bien. Si inviertes, yo te recomiendo TaxDown por ser la forma más fácil de presentar la Renta. TaxDown se integra con la mayoría de brókers, te lo calculan todo, y además cuentan con expertos fiscales en inversiones que revisan tu caso. Así evitas líos y cálculos raros. Si quieres probarlo, puedes usar mi código KAPITAL para obtener descuento. O puedes entrar directamente desde este enlace.Página Internacional⁠⁠. Lo mejor de la prensa de todo el mundo.Página Internacional es un nuevo medio digital y papel que publica en español los mejores artículos de las principales revistas y periódicos del mundo. Con una sola suscripción, en Página leerás las piezas esenciales de The Economist, The New York Times, Foreign Affairs, Der Spiegel, Le Monde o The Atlantic. Página nace con el propósito de aportar filtro, acceso y selección, y reunir en un mismo lugar el mejor periodismo global. Como dice Toni Segarra, que estuvo en el podcast y que es socio fundador del proyecto: «Lo sorprendente es que Página Internacional no existiera hace ya tiempo. Lo importante es que exista ahora, en este momento». Puedes formar parte de Página suscribiéndote anualmente, ahora con un descuento de 30 euros si aprovechas el código KAPITAL30. También tienes la opción vitalicia, en la que te prometen una vida entera de buena lectura y sabiduría. ¡Feliz lectura!Patrocina Kapital. Toda la información en este link.Índice:0:32 Una misteriosa ciudad abandonada.7:48 La revolucionaria visión de Balaji.15:15 Las locuras de Bryan Johnson.27:51 El regreso de la ciudad-estado.36:05 Thiel te paga para que dejes la universidad.42:23 Superabundancia.47:49 El golem de arcilla.57:01 Soberanía cognitiva.1:01:55 Una economía sin trabajos.1:06:43 La realidad de los nómadas digitales.1:10:56 Prepara tu pitch para entrar en Network School.Apuntes:The network state. Balaji Srinivasan.Trilogía fundación. Isaac Asimov.El individuo soberano. William Rees-Mogg & James Dale Davison.El niño soberano. Aaron Stupple.De cero a uno. Peter Thiel.Propaganda. Edward Bernays.

Staff Meeting: The Difference Made From Serving With Determination - Pastor Bryan Thiel-Aquilina (06/09/2026) by Word of Life Assembly of God

The pope takes a stand against AI enslaving us. Ben riffs. Ishmael Reed joins the conversation from Oakland. Yes, that Ishmael Reed. One of America's greatest writers—novelist, poet, essayist, playwright and song writer. And one of Ben's heroes since like forever. The conversation flows from Musk to Thiel to Altman to Vance to Vivek, to Django to Lin Manual Miranda. Hamilton was no hero, people. Finally, how did Trump defeat Harris? Painting her as a Promiscuous Jezebel is how. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

EPISODE 164 | Walk Like a Panther: The Palantir 22-Point Manifesto A company many have heard mentioned but don't know much about caused a stir in the interwebs when its CEO dropped a 22-point manifesto of sorts. Many felt the whole thing smacked of some sort of comic book supervillain's shopping list, while others nodded their heads at the sage wisdom of the post of X (formerly Twitter). Palantir is the company and the poster was Alex Karp. But just what is Palantir and who is this Karp guy? Review us here or on IMDb. And seriously, subscribe, will ya? Like, just do it.  SECTIONS Five Guys - Nathan Gettings, Stephen Cohen, Alex Karp, Jon Lonsdale, Peter Thiel (the 130th richest country in the world) More Things in Heaven and Earth - Peter Thiel: a Randian Objectivist, a plutocratic reactionary, militarist techno-libertarian, or libertarian authoritarian; post-democracy, liquid democracy; Thiel's views and actions Know Your Product - What Palantir does and what they're worth, Gotham, Foundry, AIP, TITAN, MetaConstellation and MOSAIC, Skykits, Metropolis, ELITE; who uses this stuff, JP Morgan spies on employees  Manifesto - Alex Karp's 22-point summary of The Technological Republic: Hard Power, Soft Belief, and the Future of the West Music by Fanette Ronjat Follow us on social: Facebook X (Twitter) Other Podcasts by Derek DeWitt DIGITAL SIGNAGE DONE RIGHT - Winner of a Gold Quill Award, Gold MarCom Award, AVA Digital Award Gold, Silver Davey Award, and Communicator Award of Excellence, and on numerous top 10 podcast lists.  PRAGUE TIMES - A city is more than just a location - it's a kaleidoscope of history, places, people and trends. This podcast looks at Prague, in the center of Europe, from a number of perspectives, including what it is now, what is has been and where it's going. It's Prague THEN, Prague NOW, Prague LATER    

JOIN PATREON FOR EARLY UNCENSORED EPISODE RELEASES: https://www.patreon.com/JulianDorey CLIPPERS DISCORD: https://discord.gg/8QmWEKJ3BT FOLLOW JULIAN DOREY IG: https://www.instagram.com/julianddorey/ X: https://x.com/juliandorey FOLLOW JOEY DEEF IG: https://www.instagram.com/joeydeef/ X: https://x.com/TokeMalone FOLLOW NACHO https://www.instagram.com/_nachoviews_/ JULIAN YT CHANNELS - SUBSCRIBE to Julian Dorey Clips YT: https://www.youtube.com/@juliandoreyclips - SUBSCRIBE to Julian Dorey Daily YT: https://www.youtube.com/@JulianDoreyDaily - SUBSCRIBE to Best of JDP: https://www.youtube.com/@bestofJDP ****TIMESTAMPS**** 0:00 - Epstein Dynasty Continues Nuclear Winter Awaits & Rockets are exploding 1:25 - Donald Trump Jr. has a new wife 5:44 - Kimberly Guilfoyle 7:03 - Actors with Islands, Richard Branson 10:25 - Who is Bettina Anderson? 13:59 - Bettina's Epstein Connected Father 18:57 - Donald Trump Jr's Triple Jeopardy Situation 21:51 - Bettina Anderson in 2020 24:15 - Trump does not attend son's wedding 26:03 - Trump Jr. Pentagon Deal 31:24 - $250 bill coming 39:13 - Palm Beach Pete running for Mayor 42:17 - Pam Bondi goes NUCLEAR on AG Todd Blanche over Epstein 49:19 - White House Commemorates Harambe 51:29 - Iran War Reparations 54:51 - Peter Thiel FLEES America 57:49 - That time Julian's friend found an OG Nazi German inside Fortune 100 Company 1:01:09 - Back to Peter Thiel's grand plans 1:11:07 - Elites' Dark plans for Argentina 1:12:32 - Bezos Blue Origin Rocket Explodes (VIDEO) 1:13:22 - Billionaire Space Race Theory 1:15:16 - Jeff Bezos vs. Elon Musk Race for Space 1:19:25 - Aftermath of Blue Origin Rocket Explosion 1:21:43 - Hasan Piker and where Political Lawfare is going 1:26:23 - Aliens dot gov 1:28:34 - Joey Deef headed to Italy CREDITS: - Host, Editor & Producer: Julian Dorey - COO, Producer & Editor: Alessi Allaman - https://www.youtube.com/@UCyLKzv5fKxGmVQg3cMJJzyQ - In-Studio Producer: Joey Deef Julian Dorey Podcast Episode 429 - Julian Dorey Music by Artlist.io Learn more about your ad choices. Visit podcastchoices.com/adchoices

ESG StuffBP removes chairman Albert Manifold over governance issues 9The board said the decision was unanimous. In a statement, Amanda Blanc, BP's senior independent director, described the board as having been caught off guard by what it found: "The board has been surprised and disappointed to learn of governance oversight and conduct issues it deems unacceptable and has taken decisive action."The company did not elaborate on the specific nature of the concerns.Ian Tyler has been named interim chair, BP said, with the board set to begin a formal process to identify a permanent successor: "The Board and leadership team have deep conviction in the strategic direction we have laid out, and the company is moving at pace to deliver it."Manifold took up the chairmanship just last October. At last month's annual general meeting, just 81.8% of shareholders backed his electionAmong the most consequential decisions of Manifold's short tenure: pushing out former CEO Murray Auchincloss and overseeing the selection of Meg O'Neill to succeed him — a hire that marked the first time BP had recruited an external CEO and the first time a woman had led one of the oil industry's largest players.Tulsi Gabbard Exit Marks Fourth Woman to Leave Trump Cabinet 0Apology TourBank boss sorry after describing workers as 'lower value human capital' 7Standard Chartered CEO Bill Winters triggered a massive PR firestorm by describing the bank's plan to replace back-office staff with automation as replacing "lower-value human capital" with financial investmentStandard Chartered is cutting roughly 7,800 jobs—representing about 15% of its global back-office corporate support roles—over the next four years to make room for AIAfter internal anger and blistering public criticism, Winters posted a formal apology for his "choice of words." However, he initially fueled the fire by attaching the full interview transcript to justify his broader context, drawing further criticism for being defensiveIn his first attempt to quiet the storm, Winters leaned heavily into the corporate strategy rather than apologizing for the specific phrasing: "I said that lower-value roles are more vulnerable to automation, and that we have a responsibility to help colleagues move into higher-value roles. That is what a responsible employer should do. We will continue to speak honestly about the impact of technological change, and we will continue to act responsibly in helping our people to adapt and succeed."After a barrage of negative comments on his first post, Winters returned to LinkedIn later that day to offer an explicit apology for his phrasing: "I have received a lot of support for the messages in my previous post but still get questions about my choice of words, which I know has caused upset to some colleagues. For that I am sorry.""I think the transcript makes it clear that I value our colleagues – all of them – most highly and that we are totally committed to helping them to cope with the accelerating pace of change in our industry."JPMorgan's Jamie Dimon says bank chief's viral AI comment was 'inartful' Dimon downplayed the viral backlash against Standard Chartered CEO Bill Winters—who drew fire for saying his bank would replace "lower-value human capital" with technology—calling it an "inartful" slip-of-the-tongue from a friend.Neopbabies and Dropout babiesJames Murdoch to acquire New York Magazine and Vox Media Podcast Network -1Bolt CEO says he let go of his entire HR team for creating problems that didn't exist: ‘Those problems disappeared when I let them go' 6Bolt CEO Ryan Breslow justified firing his entire Human Resources department by claiming they actively manufactured internal frictionThe aggressive purge follows a brutal 97% collapse in Bolt's valuation—crashing from an $11 billion peak in 2022 down to $300 millionTraditional HR has been entirely swapped for a skeletal "people operations" team, shifting the focus away from employee complaints and internal processes toward basic compliance training and empowering managers to make split-second decisionsAlongside gutting HR, Breslow rolled back employee-friendly benefits like four-day workweeks and unlimited PTO, claiming a culture of complacency had taken over and that 99% of his legacy workforce was simply unwilling to work hardRyan dropped out of Stanford in 2014 to launch BoltThe Middle School Boy Man Babies Rule the WorldMan Drives Cybertruck Into Lake to Test Elon Musk's “Boat” Claims, and It Went About as Well as You'd Guess -10"The passengers abandoned the vehicle and the driver was arrested."Tesla CEO Elon Musk:randomly tweeted that the vehicle would function as a rudimentary flotation device.“It will even float for a while.”“[The vehicle would be able to] traverse at least 100m [330 feet] of water as a boat.”“Cybertruck will be waterproof enough to serve briefly as a boat, so it can cross rivers, lakes and even seas that aren't too choppy.”Jeff Bezos urges US government to stop taxing 50% of America — and claims doubling his taxes won't help ‘that teacher in Queens' 400Jeff Bezos backs Mamdani's tax on luxury second homes, but says Ken Griffin isn't the villainJeff Bezos on Zohran Mamdani's big mistake: ‘When you don't know how to solve a problem, create a villain, blame them'Jeff Bezos says there is ‘no truth' to the ‘buy borrow die' tax strategyBillionaires Openly Use It: Oracle co-founder Larry Ellison has historically pledged over $30 billion worth of his Oracle stock as collateral for personal bank loans. Elon Musk has similarly pledged tens of billions of dollars in Tesla shares to secure lines of credit over the yearsHe said he was "skeptical that that's a true loophole," but added, "If it is, and we can fix it, then we should. I don't think such a loophole should exist."Jeff Bezos Praises Trump's Second Term as ‘More Mature' Jeff Bezos Says AI Will 'Elevate' Workers — Despite Amazon's 30,000 Job Cuts Amid $100 Billion AI PushElon Musk compares his company's work to that of Jesus 0In an interview on Monday, the billionaire said his Neuralink brain-implant company is progressing in its development of ‘Jesus-like technologies'Although brain-computer interface (BCI) as a concept has been around since at least the 1970s, the push to commercialize the technology is more recent. According to data from market-intelligence firm Tracxn, more than 130 BCI startups have been launched since 2016.Why Is Mark Zuckerberg Taunting His Employees Before Firing Them? 20Back in April, Meta announced it was laying off 10 percent of its workforce, or around some 7,800 workers. Unlike traditional layoffs, which are enacted relatively quickly, Meta gave its employees a nearly month-long warning period without announcing who exactly would be headed for the unemployment line.In newly leaked audio from an all-hands meeting at Meta, released by More Perfect Union, the Meta CEO seems to actually be taunting the thousands of workers who were about to be let go by pointing to how the company was harvesting employee data to train its in-house AI models ahead of the massive layoffs.“So we're in a phase where basically the AI models learn from heaving real, from watching really smart people do things. And if you're trying to get it to be able to be able to do certain capabilities, having [AI] be able to observe really smart people doing those things is, is very important.”Going on, Zuckerberg explained that it was better to train AI on soon-to-be-former Meta employees, rather than “contract companies.”“In general, the average intelligence of the people who are at this company is significantly higher than the average set of people that you can get to do tasks if you're working through… contractors,” Zuckerberg stammered. “So if we're trying to teach the models coding, for example, then having people internally, um, build tools that, or, or solve tasks that, um, that help teach the model how to code, we think is going to dramatically increase our models coding ability faster than what others in the industry have the capability to do.”Intuit to Cut 17% of Staff, Invest in ‘Big Bets' 3The restructuring cost is estimated at about $300 million to $340 millionAbout 3,100 employees: and invest the savings in “big bets” as it makes artificial intelligence a centerpiece of its business.Woke WarsTexas AG Sues ISS Over ESG Considerations 0Texas AG Ken Paxton (in a senate race) is suing ISS for allegedly “misleading” customers by pushing “radical political agendas” through its proxy adviceNotably, ISS has attempted to obstruct ExxonMobil's planned reincorporation from New Jersey to Texas“ISS has enormous influence over how billions of dollars are invested and managed across this country, and they have abused that influence in order to push woke ideology”Iowa AG Brenna Bird sues ISS, says advice risks retirement savingsIowa Attorney General Brenna Bird is suing the world's largest proxy-advice firm for abusing its influence and threatening Iowans' retirement savings by "lying" to investors.Stakeholders Rule!Wells Fargo must pay $100M to help homebuyers after discrimination lawsuit — 51 cities are eligible 7The settlement, which was recently approved by a federal judge in California, comes after four years of legal disputes involving Wells Fargo shareholders, former employees and job applicants who accused the bank of systemic problems in both lending and hiring practices.While Wells Fargo denied wrongdoing, the company agreed to the deal to avoid prolonged litigation and mounting legal costs.The case centered on allegations that Wells Fargo's board failed to maintain adequate oversight of the bank's mortgage lending operations, exposing the company to regulatory scrutiny and accusations of discriminatory practices.According to reporting from Realtor.com, plaintiffs accused the bank of “widespread and systematic discrimination in lending” and cited concerns over lending algorithms and refinancing approval patterns.The lawsuit stated that Wells Fargo was allegedly the only major lender in 2020 to reject more refinancing applications from Black homeowners than it approved.Airbus, Air France Hit With Manslaughter Charges Over Pilot Training Failures in Deadly 2009 Flight 447 Crash 1A Paris appeals court delivered a dramatic verdict in one of the longest-running and most complex legal sagas in aviation history. The court overturned a 2023 acquittal and found both Airbus and Air France guilty of corporate manslaughter for the tragic 2009 crash of Flight AF447.The ruling marks a massive victory for the victims' families after a 17-year legal battle. A lower court had previously cleared the European planemaker and the French airline in 2023, ruling that while errors were made, a direct causal link to the crash couldn't be proven. The appeals court completely rejected that logic, declaring the companies "solely and entirely responsible" for the disaster.Ride-Share Drivers in Massachusetts Formally Unionize 100The App Drivers Union said it was the first organization in the country to be formally certified to represent drivers for apps such as Uber and Lyft.In a news release, the organization, the App Drivers Union, said it would represent nearly 70,000 workers in Massachusetts who now have the power to collectively bargain.MATTA very special “who do we blame for SpaceX IPO governance” gameFirst, some S-1 highlights:“Starlink internet is what's being used to pay for humanity getting to Mars.” - MuskTranslation: We don't care much about Starlink, it's just paying our AI billsHe's not kidding: $3.2bn revenue for Starlink, net income of $1.2m$0.6bn revenue for rocket ship, net income of -$0.6bn$0.8bn revenue for AI, net income of -$2.5bnThis isn't a space company - it's classic Musk - you buy the vision (“To build the systems and technologies necessary to make life multiplanetary, to understand the true nature of the universe, and to extend the light of consciousness to the stars.”), but what you're really buying is an internet company that spends all its money on AI and does some rockets on the sideLet someone else invent the car (Tesla) and make them sexy with “big visions” for “humanity”Let someone else invent the rockets, build new ones using someone else's moneyLet someone else invent the satellites, put a whole bunch in space (and buy more satellites from someone else)Musk initially took the role of “Chief Engineer”, but every engineering task seems to have been the other employees - he supplied the moneyShoehorned AI into space exploration because…?Grok is designed as a truth-seeking AI model, built on our founder Elon Musk's mission to enable humanity to understand the universe. We believe that accomplishing this mission requires a truth-seeking approach to AI. We define truth seeking as the active, relentless pursuit of what is objectively true about reality, and grounded in evidence, logic, empirical data, and first principles thinking.AI's ability to revolutionize human potential is directly dependent on meeting exponentially increasing resource demands.We now must go to space to get more resources for AI so we can get to spaceNow the governance who do you blame gameMusk will get:85% voting power (dual class, he owns 94% of Class B 10 vote shares and 12% of Class A shares)The ability to nominate and vote exclusively on >50% of the boardA board which currently includes..TWO execs - Gwynne Shotwell (President) and Musk (three titles)Tesla mafia: Ira Ehreinpreis, Tesla board sycophant, director at the Boring Company and xAI, and longtime Musk hanger on, added Feb 2026Antonio Gracias, ex Tesla director who was explicitly called out in the Tornetta decision as corrupted, cross party transactions with Musk, on boards of Neuralink and Boring Company, added Oct 2010TWO VC bros from DFJ - Randy Glein (SpaceX board observer for 16 years, directors since Feb 2026) and Steve Jurvestson (former Tesla director, director since March 2009) who was ousted from the VC firm with his name on it for sexual harassmentPaypal mafia:Luke Nosek, co founder of PayPal, one of the founders of Founders Fund with Thiel and Ken Howery, invested in DeepMind, director since July 2008Donald Harrison - managed Google purchase of DeepMind, relationship with Nosek, director since Feb 2015Director relationship tenures to Musk: Shotwell: 24 yearsEhreinpreis: 21 yearsGracias: 21 yearsJurvetson: 17 yearsGlein: 16 yearsNosek: 26 yearsHarrison: 11 years (+1 if Nosek/Deepmind connection counts)Texas jurisdiction exclusively (judge shopped) - 3% to sue them, mandatory arbitration, anti-takeover statutes, special meetings ONLY CALLED BY MUSK (no one less than 50% of stock can call a meeting or vote)No written consent - no prior noticeAdvance notice bylaws for the zero shareholder proposals allowedFull omission of board liability - including a provision that automatically allows whatever the conflicts of interest they want with directorsWHO (WHEN) DO YOU BLAME?The US GovernmentDepartment of Energy - in 2010, the DoE gave Tesla a $465m loan, which basically paid for the Model S and helped it buy a factory 6 months before it went public - Musk has said Tesla would not have survived without the loanNevada - in 2014, Nevada gave Musk $1.3bn to build a factory, the most everNASA - spent more than $15bn over years on SpaceX and programs with themThe IRS/Congress - the EV tax credit for $7,500 single handedly pushed Tesla from losing money in 2020 to making money (they effectively got $1.6bn from the US government in 2020), and showing its first profit, which sparked the memefest during COVID and made Musk the richest man on earth - Musk then went on and called for an end to the tax credit since his “competitors” needed it more than Tesla. Tesla made ~$11bn from tax credits aloneThe DoD - started paying SpaceX in 2003 for concept work - and even when the rockets didn't work, the DoD and NASA awarded the company massive contracts anywayJeff Bezos said in 2016 that, “Elon's real superpower is getting government money.”FOMOSpaceX LOSES MONEY - it does not make moneyIf it were a satellite internet company - and NOT THE FIRST - the first was HughesNet in 1996, and Viasat offered it in 2012 - it would make money ($1.2m in income!)Instead, investors are valuing SpaceX as THE LARGEST IPO IN THE HISTORY OF EVER despite the fact that they are burning money on AI, and arguably the worst AIIncluding spending the most on R&D, marketing, and acquisition of Cursor to make up for the fact that Grok suckedIn exchange for FOMO, investors have ENTIRELY GIVEN UP THEIR RIGHTSIt is 100% a private companyTornettaIf Tornetta hadn't sued for Musk's pay, would SpaceX be structured this way?The banks underwriting the dealWho AGREED TO BUY GROK as a term of getting the underwriting, because everyone bends the knee to moneyThe boardI guess