Podcasts about Civil

Civil war in Egypt concludes after nearly a decade of strife, with Cleopatra II seeking support from the Seleucids before being reunited with her brother and daughter in 124. Ptolemy VIII's death in 116 puts to an end one of the most ruthless and cunning politicians of the Hellenistic period, and the poisonous effects of his fifty-year career sets the tone of the dynasty for the remainder of its history. Episode Notes: (https://hellenisticagepodcast.wordpress.com/2026/07/23/124-ptolemaic-egypt-sound-and-fury/) Episode Transcript: (https://hellenisticagepodcast.wordpress.com/wp-content/uploads/2026/07/124-ptolemaic-egypt-sound-and-fury-transcript.pdf) Family Tree - Reign of Ptolemy VIII: (https://hellenisticagepodcast.wordpress.com/wp-content/uploads/2026/07/reign-of-ptolemy-viii.pdf) Social Media: Twitter (https://twitter.com/HellenisticPod) Facebook (www.facebook.com/hellenisticagepodcast/) Instagram (https://www.instagram.com/hellenistic_age_podcast/) Bluesky (https://bsky.app/profile/hellenisticpod.bsky.social) Show Merchandise: Etsy (https://www.etsy.com/shop/HellenisticAgePod) ImperialWares (https://tinyurl.com/ybmpk7xd) Redbubble (https://www.redbubble.com/people/HellenisticPod/shop?asc=u) Donations: Patreon (https://patreon.com/TheHellenisticAgePodcast) Ko-Fi (https://ko-fi.com/hellenisticagepodcast) Amazon Book Wish List (https://tinyurl.com/vfw6ask)

Learn more about the podcast hereLearn more about Give Him Fifteen hereSupport the show

Inside jails across California, a controversial police practice is happening.Undercover agents pose as incarcerated people. Their goal is to get confessions out of suspects.The tactics — known as Perkins Operations — have led to hundreds of murder convictions.But critics call the pratice coercion. They also say it promotes racially-biased policing.Now, the California Supreme Court is reviewing a number of convictions.On KPBS Midday Edition, we talk about a recent CalMatters investigation into Perkins Operations and the controversy surrounding them.Guest:Cayla Mihalovich, justice reporter and California Local News Fellow, CalMattersCayla Mihalovich completed this story with the support of a grant from Columbia University's Ira A. Lipman Center for Journalism and Civil and Human Rights in conjunction with Arnold Ventures.

States sue to stop Paramount-Warner Bros blockbuster merger - LINKWhite House's World Cup head defends Trump lobbying Fifa over red card - LINKWhat is an 'Olimpico' goal & which players have scored them? - LINKNo, You Shouldn't Avoid Fruits and Vegetables Due to Cyclospora - LINKTrump's speech offered a preview of his next moves on elections - LINKTrump promised evidence of election fraud. Experts say there was none - LINKU.S. military will test service members' testosterone levels, Pete Hegseth says - LINK Beginning Music: Glenn Gould - Goldberg Variation #5Ending Music: Electronic - Getting Away With it (Instrumental)Remember to Register to vote! Mass Residents should go to: https://www.sec.state.ma.us/ele/For more Civil Politics visit our website, civilpoliticsradio.com!If you want to get alerted to new episodes on social media, follow our Bluesky: @CivilPoliticsRadio.comDon't miss another episode - subscribe to our podcast (iTunes, Google Play, Spotify, and more!)This podcast is a member of the Planetside Podcast Network. Visit PlanetsidePodcasts.com to find other Planetside Productions!

Confira os destaques do Jornal da Manhã desta segunda-feira (20): A partir desta segunda-feira (20), os partidos políticos podem realizar as convenções partidárias para definir os candidatos que disputarão as eleições de 2026. O prazo para a realização das convenções vai até 5 de agosto. Nessa etapa são definidas as chapas para deputado estadual, deputado federal, senador, governador e presidente da República. Após a escolha dos nomes, os partidos têm até 15 de agosto para registrar as candidaturas na Justiça Eleitoral, e a campanha eleitoral começa oficialmente no dia 16 de agosto. As eleições serão realizadas em 4 de outubro. Reportagem: André Anelli. O presidente Luiz Inácio Lula da Silva chega ao recesso parlamentar com pelo menos 23 derrotas consideradas relevantes no Congresso Nacional desde o início do terceiro mandato. O cenário para os próximos meses é visto como mais desafiador, já que o calendário eleitoral reduzirá o período de votações no Legislativo. A diminuição das sessões pode dificultar o avanço de propostas prioritárias do Palácio do Planalto, como a PEC que prevê a redução da jornada semanal para 40 horas e o fim da escala 6x1. Desde 2023, o governo enfrentou derrotas em votações, derrubada de vetos, projetos sem apoio suficiente, perda de espaço político e a rejeição de uma indicação ao Supremo Tribunal Federal. Reportagem: André Anelli. Os Estados Unidos condicionaram a redução das tarifas impostas sobre produtos brasileiros à concessão de benefícios comerciais e de regulações favoráveis a empresas americanas. A sinalização indica que uma eventual diminuição do chamado tarifaço dependerá de negociações entre os dois países e da adoção de medidas que atendam às demandas apresentadas pelo governo dos Estados Unidos. Reportagem: Talita Souza. O Comando Central das Forças Armadas dos Estados Unidos realizou uma nova série de ataques contra o Irã, no nono dia consecutivo de bombardeios. A ofensiva teve como alvo instalações militares e centros de comando, em resposta à morte de três militares americanos. Os EUA também reforçaram sua presença militar no Oriente Médio, enquanto Donald Trump afirmou que o Irã foi atingido de forma "muito dura". Reportagem: Luca Bassani. O Tribunal de Justiça de São Paulo (TJ-SP) negou, por maioria, o novo pedido de habeas corpus apresentado pela defesa da advogada e influenciadora digital Deolane Bezerra. Presa preventivamente por suspeita de participação em um esquema de lavagem de dinheiro ligado ao PCC, investigado na Operação Vérnix da Polícia Civil de São Paulo, Deolane permanece na Penitenciária Feminina de Tupi Paulista. A defesa solicitava a transferência para uma Sala de Estado-Maior ou a concessão de prisão domiciliar, mas a relatora do caso, desembargadora Renata William Rached Catelli, entendeu que, como a inscrição de Deolane na OAB está suspensa, ela não tem direito à Sala de Estado-Maior. Reportagem: David de Tarso. As exportações brasileiras para a União Europeia cresceram US$ 2 bilhões nos meses de maio e junho, os dois primeiros meses após a entrada em vigor provisória do acordo comercial entre Mercosul e o bloco europeu, segundo levantamento da ApexBrasil. A alta foi de 26% em comparação com o mesmo período de 2025. No acumulado do primeiro semestre, as vendas do Brasil para a União Europeia chegaram a US$ 26,9 bilhões, um aumento de US$ 3 bilhões, ou 12,8%, em relação ao mesmo período do ano anterior. As plataformas digitais que operam no Brasil têm até esta segunda-feira (20) para se adequar às novas regras de fiscalização e responsabilização previstas no decreto 12.975 de 2026, publicado em maio pelo governo federal. A norma regulamenta a decisão do Supremo Tribunal Federal (STF) que restringiu a aplicação do artigo 19 do Marco Civil da Internet e ampliou as obrigações das empresas no combate a conteúdos criminosos. Jess Peixoto e Lucas Mehero comentaram. Reportagem: Marco Viana. Essas e outras notícias você acompanha no Jornal da Manhã. Learn more about your ad choices. Visit megaphone.fm/adchoices

A new MP3 sermon from Christ Covenant Reformed Presbyterian is now available on SermonAudio with the following details: Title: Upright Civil Instruction (4) Subtitle: A Character Study in Proverbs Speaker: Rev. Todd Ruddell Broadcaster: Christ Covenant Reformed Presbyterian Event: Sunday - AM Date: 7/19/2026 Bible: Proverbs 14:28-35 Length: 51 min.

Nuevo Laredo activa Protección Civil por crecida del río BravoTormenta deja un muerto y daños en Nogales, SonoraCeuta y Melilla: los territorios españoles al otro lado del Mediterráneo Más información en nuestro Podcast#grc

O Observatório Feminino debate, no episódio deste domingo (19), um caso que causou grande repercussão no Norte de Minas Gerais. A Polícia Civil investiga se a morte de um menino de 8 anos, em Campo Azul, pode ter relação com a plataforma de jogos on-line Roblox.A criança morava com a mãe, de 41 anos, o padrasto, de 29, e duas irmãs, de 17 e 18 anos. Em depoimento à polícia, a mãe informou que o filho era introspectivo, enfrentava dificuldades disciplinares na escola e passava longos períodos isolado utilizando o celular para jogar Roblox, onde mantinha contato com pessoas desconhecidas. Segundo ela, familiares acreditam que o menino possa ter sido influenciado por um desafio divulgado na plataforma. As circunstâncias do caso seguem sob investigação.O programa também aborda a decisão da Copa do Mundo. Embora a Seleção Brasileira tenha sido eliminada da competição, a final mobiliza torcedores em todo o planeta. Mais do que uma disputa esportiva, o confronto decisivo desperta emoções intensas, reúne famílias e amigos e altera a rotina de milhões de pessoas.Por que o futebol exerce tamanho impacto sobre o comportamento humano? O que explica sentimentos como euforia, ansiedade, frustração e as mudanças no humor e nas relações provocadas por uma partida decisiva? Essas são algumas das questões que estarão em debate na edição de hoje.Além das jornalistas Aline Neves e Fernanda Rodrigues, participam da conversa Fernanda Seabra, terapeuta familiar sistêmica e especialista em Psicogenealogia, e Ana Luiza Pereira, jornalista da Itatiaia.

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

***This episode is not edited as it was recorded directly after Donald Trump's speech***Donald Trump went on primetime television to tell the country that America's elections are compromised. A few hours earlier, Stephen Miller gave a much quieter speech at the State Department that was far more alarming. While Trump ranted about voter fraud, voting machines, China, mail ballots and election “security,” Miller laid out a federal counterterrorism strategy aimed directly at the political left.In this episode, Robin breaks down both speeches, what NSPM-7 actually does, and why the administration's plan for the 2026 midterms goes far beyond campaign messaging. The language is already in place: disrupt, identify, defund, debank, arrest and prosecute.Trump's address got the live blogs, cable coverage and instant fact-checks. He repeated unsupported claims about noncitizen voters, Chinese interference, stolen voter data and compromised election machines. He also announced plans to involve federal agencies in state election systems, remove people from voter rolls and investigate officials tied to the alleged fraud.But while everyone was watching Trump, Stephen Miller was explaining what comes next.Speaking to foreign security officials at a State Department ministerial, Miller described the political left as a terrorism threat and defended NSPM-7, a national security directive that gives federal agencies a broad mandate to target organizations, activists and financial networks.And the scope does not stop with people accused of violence. It can reach donors, organizers, lawyers, bail funds, nonprofits and anyone the administration decides is supporting the wrong movement.The speech also went somewhere even darker. Miller attacked civil liberties, complained about juries refusing to convict people accused of assaulting ICE agents, and told the room that leftists do not look “normal” because their appearance reflects what is supposedly inside them.That language is not random. Robin traces its historical roots and explains why authoritarian movements so often describe political opponents as diseased, deformed, dangerous or visibly different. Once the enemy is defined by who they are instead of what they have done, there is no way to behave your way out of the category.Trump provides the spectacle. Miller provides the machinery and framework for what's to come. Together, the two speeches point toward a broader strategy for the 2026 midterms:• Destroy confidence in election results before voting begins• Push federal agencies deeper into state election systems• Purge voter rolls in the name of election security• Threaten media outlets that refuse to cooperate• Treat protest networks and organizers as terrorism infrastructure• Intimidate donors, lawyers, nonprofits and bail funds• Use financial pressure and debanking without waiting for criminal convictions• Export the framework through international intelligence sharingThis episode separates what the administration has actually done from what it has merely claimed.The franework is real. The evidence being used to justify it often is not.Trump's speech was the distraction. Stephen Miller's speech was the blueprint.The loud speech told America what to fear. The quiet speech explained what the government plans to do about it.Topics include Donald Trump, Stephen Miller, NSPM-7, the 2026 midterm elections, voter purges, election security, left-wing terrorism, debanking, civil liberties, ICE protests, jury trials, political repression, authoritarianism, fascism, voter fraud claims, media license threats and federal intervention in state elections.Become a supporter of this podcast: https://www.spreaker.com/podcast/we-saw-the-devil-unfiltered-political-analysis--4433638/support.Website: http://www.wesawthedevil.comPatreon: http://www.patreon.com/wesawthedevilRobin's Instagram: http://www.instagram.com/robin_wstdTwitter: http://www.twitter.com/WeSawtheDevilInstagram: http://www.instagram.com/wesawthedevilpodcast.TikTok: tiktok.com/@wesawthedevilpolitics

Protección Civil alerta por lluvias intensas en tres estadosGrupo Carso compra 30% del Bloque 30 en el Golfo de MéxicoTemporal deja más de 590 mil usuarios sin luz en ChileMás información en nuestro Podcast#grc

Civil rights organizer and chairman of the SNCC Legacy Project, Courtland Cox reflects on the life and legacy of civil rights icon John Lewis six years after his passing, discusses the ongoing work of the SNCC Legacy Project, and what's next for voting rights.Become a supporter of this podcast: https://www.spreaker.com/podcast/tavis-smiley--6286410/support.

Did Christians really try to amend the U.S. Constitution to formally recognize Jesus Christ? In this episode of The Magistrate, Josh Howard and James Baird uncover the forgotten story of the National Reform Association and its 19th-century effort to acknowledge God, Jesus Christ, and the Bible within the Constitution. They explore how leading Presbyterians, Old Princeton theologians, and the Presbyterian General Assembly of 1864 understood civil government, religious liberty, and Christ's authority over the nations. Whether you agree or disagree with their conclusions, this remarkable chapter of American history raises important questions about Christianity's role in public life and what has been lost in our national memory.Watch all of our videos and subscribe to our channel for the latest content >HereHere

Secretary of State Marco Rubio hosted diplomats from more than 60 countries for a Washington summit focused almost entirely on left-wing political violence. Civil rights groups warn that the Trump administration's terrorism labels could target peaceful protesters and political opponents. Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.

Confira nesta edição do JR 24 Horas: A Polícia Civil do Rio de Janeiro fez uma operação contra a venda de remédios falsificados para tratamento de câncer. A investigação começou com uma denúncia contra uma empresa que vendia os medicamentos. O material apreendido passou por uma perícia que constatou a fraude. Nem o lote impresso na embalagem tinha registro do fabricante. E ainda: Vazamento de gás tóxico causa suspensão de aulas em 16 escolas em Manaus (AM).

D&P Highlight: If he had stayed, it would have been a civil issue, but since he kept driving, it's criminal? full 802 Wed, 15 Jul 2026 18:56:00 +0000 QmLVUeOL1pWuOIC3rVn63VG9ooxnAhLE news The Dana & Parks Podcast news D&P Highlight: If he had stayed, it would have been a civil issue, but since he kept driving, it's criminal? You wanted it... Now here it is! Listen to each hour of the Dana & Parks Show whenever and wherever you want! © 2025 Audacy, Inc. News

Policía confirma el asesinato de un civil y dos uniformados tras atentado en Arauca

This Day in Legal History: The Housing Act of 1949On July 15, 1949, President Harry Truman signed the Housing Act of 1949, a centerpiece of his “Fair Deal” and one of the most ambitious housing laws in American history. Its stated goal was breathtaking in scope: “a decent home and a suitable living environment for every American family.” To get there, the Act poured federal money into public housing construction, expanded federal mortgage insurance, and created the urban renewal program to clear and redevelop so-called “slum” neighborhoods.The Act's legacy is genuinely double-edged, and it's worth telling honestly. On one hand, it expanded homeownership for millions and built hundreds of thousands of units of public housing. On the other, its implementation became one of the great engines of racial segregation in the twentieth century. Urban renewal too often meant bulldozing established Black neighborhoods—critics bitterly renamed it “Negro removal”—and the public housing built in their place was frequently segregated by design and concentrated in already-poor areas. Meanwhile the federal mortgage machinery it fed continued the practice of redlining, steering the benefits of homeownership toward white families and away from Black ones.That mixed legacy is why the Housing Act belongs in a legal-history conversation about civil rights. The same federal government that would, within a few years, order schools desegregated in Brown v. Board of Education was, through its housing policy, actively entrenching residential segregation—and residential segregation is what makes school segregation so durable, because in America where you live largely determines where you go to school. The story of July 15, 1949 is a reminder that the law's effects depend enormously on how it's carried out: a statute promising a decent home for every family became, in practice, a tool that shaped the segregated geography we're still litigating over today.Todd Blanche faced a high-stakes Senate Judiciary Committee hearing today in his bid to become attorney general on a permanent basis. Blanche has been acting attorney general since President Trump fired Pam Bondi in April, and before joining the Justice Department he served as Trump's personal criminal defense lawyer—a background that sits at the center of the concerns about him. The confirmation process exists because the Constitution's Appointments Clause requires the Senate to advise and consent on the nation's top law-enforcement officer, and the attorney general is supposed to serve the United States, not the president personally. That tension drove the questioning: senators pressed Blanche on the Department's $1.8 billion “anti-weaponization” fund, its handling of the Jeffrey Epstein files, and its prosecutions of figures perceived as Trump's political enemies, including former FBI Director James Comey and New York Attorney General Letitia James. The significance is about the independence of the Justice Department. An attorney general who was recently the president's private defense attorney raises the question of whether federal prosecutorial power will be wielded neutrally or as an instrument of the president's interests. With a pair of undecided Republicans—Senators Cornyn and Tillis—holding real leverage, the hearing was Blanche's chance to reassure a narrowly divided Senate, and most observers still expect him to be confirmed by a slim margin.Blanche to face Senate grilling in bid to be Trump's attorney general | ReutersTwo U.S.-based advocacy groups have sued the Trump administration, arguing that its sanctions targeting the International Criminal Court violate the First Amendment. The groups—Democracy for the Arab World Now and the Taxpayer Alliance Against Genocide—are challenging the February 2025 executive order under which the administration has sanctioned ICC judges, prosecutors, and Palestinian human rights organizations, and which officials pledged this week to expand. The free-speech theory is the key. The plaintiffs say the sanctions regime is so broad that they have stopped doing constitutionally protected things—filing submissions with the ICC and coordinating advocacy with sanctioned people, like the U.N. special rapporteur for Palestine—out of fear that doing so could expose them to fines or even prison. In First Amendment law, that's a classic “chilling effect”: when a law is vague or sweeping enough that people self-censor protected speech to avoid the risk of penalty, the law itself can be unconstitutional even before anyone is actually punished. There's notable precedent here: a similar Trump order in 2020 was blocked by a judge who found it likely violated the First Amendment, before the Biden administration rescinded it in 2021. The significance is a direct clash between the executive's broad power over foreign affairs and sanctions on one side, and Americans' right to speak, associate, and petition on the other. Three ICC judges have separately sued over the same sanctions, so this order is now being attacked on multiple fronts.Trump's ICC order violates free speech, advocacy groups say in lawsuit | ReutersA federal appeals court has ended more than sixty years of federal oversight of the Concordia Parish School Board in Louisiana, lifting one of the desegregation orders that dates back to the Civil Rights era. The Fifth Circuit's decision hands a win to the Trump administration, which has pushed to wind down these long-running cases—a striking reversal for a Justice Department that spent decades on the other side, fighting to enforce them. Here's the legal framework. After Brown v. Board of Education, hundreds of Southern school districts were placed under federal court supervision and ordered to dismantle segregation. A district can be released from that oversight when a court finds it has achieved “unitary status”—meaning it has eliminated the vestiges of segregation, to the extent practicable, in areas like student assignment, faculty hiring, facilities, and discipline. The dispute in cases like this one is whether that's really been accomplished. Louisiana officials argue the orders are relics of a bygone era and no longer needed. Civil rights advocates and some parents counter that the vestiges persist—in racial disparities in student discipline, access to advanced academic programs, and teacher hiring—and that lifting oversight removes a crucial tool for addressing them. The significance is part of a broader push to close out Civil Rights-era decrees, and it raises a hard question: whether these districts have genuinely outgrown the need for supervision, or whether ending it prematurely risks letting old patterns quietly reassert themselves.Appeals court ends US oversight of Louisiana school system related to desegregation mandate | Reuters This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.minimumcomp.com/subscribe

We conclude our special series on the Prayer Book's Civil Prayers in honor of the 250th anniversary of our Nation's founding. Today we talk about the civil prayers in the Great Litany and Holy Communion. We also talk about the two Civil Holidays in the 1928 BCP: Thanksgiving Day and Independence Day. Finally, we conclude with a discussion of the frequency of Holy Communion.

Confira nesta edição do JR 24 Horas: O Ministério Público e a Polícia Civil do Rio de Janeiro realizam nesta quarta-feira (15), uma operação em quatro estados brasileiros contra facções criminosas que teriam lavado mais de R$ 100 milhões. A operação acontece em São Paulo, Rio de Janeiro, Minas Gerais e Paraná. E ainda: Receita Federal realiza a restituição automática do IR nesta quarta (15).

Dez pessoas foram presas suspeitas de envolvimento num esquema que lavou mais de R$ 100 milhões para as maiores facções criminosas do país. A operação foi conduzida pelo Ministério Público e pela Polícia Civil do Rio de Janeiro.Veja ainda que um esquema de venda de créditos falsos do ICMS teria gerado um prejuízo de R$ 800 milhões ao estado. Em Santa Catarina, três pessoas morreram depois que um ônibus que seguia para o Paraguai perdeu o controle e tombou em uma ribanceira. E mais: decisão dos Estados Unidos sobre aplicação de tarifas a produtos brasileiros deve sair nesta quarta-feira (15).

Hear amazing tales of the binary-defying civil rights activist, labor organizer, lawyer, author and first Black woman Episcopal priest the Rev. Dr. Pauli Murray. In the news, marriage equality is outlawed in Senegal, there's no port for the gay Scarlet Lady cruise ship in Egypt either, and New Hampshire and California adopt different attitudes about transgender youth while Trans and Intersex Pride Marchers in Dublin target the One Percent. Featured speakers: Trans and Intersex Pride Co-Founder Ollie Bell, Sara Canning, Associate Professor of History at Antioch College Dr. Kevin McGruder, Associate Professor of Social Ethics at Union Theological Seminary Dr. Sarah Azaransky, Cathedral of St. John the Divine Rev. Canon Dr. Kelly Brown Douglas Credits: Associate Producer/Host Lucia Chappelle, News writer Jeb Backe, NewsWrap reporters Marcos Najera and Tanya Kane-Parry Music: Rev. Delores Berry and Kim Wilson Special thanks to the American LGBTQ+ Museum and the Cathedral of St. John the Divine for their permission to air the Celebration of Pauli Murray.

Civil rights attorney Ben Crump and the family of 18-year-old college football player Nolan Wells are challenging official narratives and leading an independent investigation into his mysterious death. Wells went missing during a Fourth of July boat outing with friends on Horn Island, Mississippi. While local authorities initially stated they suspected no signs of foul play and pointed toward accidental drowning, Crump and the family argue the timeline and details "do not add up."

Civil rights attorney Ben Crump and the family of 18-year-old college football player Nolan Wells are challenging official narratives and leading an independent investigation into his mysterious death. Wells went missing during a Fourth of July boat outing with friends on Horn Island, Mississippi. While local authorities initially stated they suspected no signs of foul play and pointed toward accidental drowning, Crump and the family argue the timeline and details "do not add up."

Civil rights attorney Ben Crump has launched an independent investigation into the death of 18-year-old college football player Nolan Xavier Wells, challenging early assertions by the Jackson County Sheriff's Office that they do not suspect foul play. Millions of Americans are using credit cards or dipping into savings accounts to afford groceries.  Is this happening to you or someone you love? Have you cut out buying anything you really like because of the increase in prices?

On today's show, Civil rights attorney Ben Crump and the family of 18-year-old college football player Nolan Wells are challenging official narratives and leading an independent investigation into his mysterious death. Wells went missing during a Fourth of July boat outing with friends on Horn Island, Mississippi. While local authorities initially stated they suspected no signs of foul play and pointed toward accidental drowning, Crump and the family argue the timeline and details "do not add up." Millions of Americans are using credit cards or dipping into savings accounts to afford groceries.  Is this happening to you or someone you love? Have you cut out buying anything you really like because of the increase in prices? House Speaker Mike Johnson declined to answer questions and reserved judgment during a press briefing regarding the fatal Immigration and Customs Enforcement shooting of a man in Maine. When pressed by reporters on whether Congress should demand accountability from the Department of Homeland Security over the agents' lack of body cameras, Johnson stated, "I don't know anything about this event, OK? I was a little busy yesterday so I'm going to reserve judgment". He explained that he had worked 22 hours over the last few days and had not yet received a briefing on the matter. Research shows an increase in the population of sharks in the Gulf.  And the increase includes bull sharks, which are one of the most aggressive sharks.  Does this change your mind about swimming in the Gulf waters this summer?  What do you remember about seeing "JAWS" for the first time?  Did it affect your desire to swim in the Gulf? 

Entrevista - Erich Schaffner y Augusto Alcalde - Presidente y secretario de la asociación civil Patrimonio Activo by En Perspectiva

Confira no Morning Show desta terça-feira (14): O ministro do Supremo Alexandre de Moraes emitiu uma decisão suspendendo por 90 dias as visitas do senador e pré-candidato à Presidência da República, Flávio Bolsonaro (PL) e seu pai, o ex-presidente Jair Bolsonaro. A medida foi tomada após a divulgação de uma carta de Jair por Flávio, manifestando-se politicamente em favor do filho mais velho. Jair estava proíbido de utilizar redes sociais, inclusive através de terceiros. Agora, Flávio só poderá se reunir novamente com o pai após o primeiro turno. A senadora Damares Alves (PL) defendeu a ex-primeira dama Michelle Bolsonaro (PL) durante discurso no Senado Federal e tentou apaziguar a situação entre os membros da família Bolsonaro. Em sua fala, a senadora questionou: “quem está por trás dessa campanha difamatória contra os soldados da direita”. Edinho Silva (PT), presidente nacional do PT, orientou os militantes do partido a pressionarem o Senado Federal para aprovar o projeto que prevê o fim da escala 6x1 antes do recesso parlamentar de meio de ano. Após o recesso, as chances de votação de projetos importantes caem, pois grande parte dos parlamentares volta para suas bases eleitorais para focar nas eleições de outubro. A classe dos caminhoneiros está pressionando o presidente do Senado Federal, Davi Alcolumbre, para que a Medida Provisória “MP do Frete” seja pautada. O texto determina que parte do valor do frete seja pago antes da entrega e outros benefícios para quem trabalha na área, além da suspensão de multas para quem participou das paralisações de estradas após a derrota de Jair Bolsonaro (PL) em 2022. A Polícia Civil do Rio de Janeiro está investigando a realização de um baile funk com presença de dezenas de homens armados com fuzis em Vigário Geral. A festa, que contou com apresentações do MC Chefin e do grupo Tá na Mente, seria em comemoração aos 19 anos de domínio da facção Terceiro Comando Puro na comunidade, parte do Complexo de Israel. Um homem foi flagrado roubando uma caixa de ofertas de uma igreja em Carmo do Rio Claro, sul de Minas Gerais. O suspeito, que fingia estar ajoelhado rezando ao furtar a urna, está foragido e a paróquia não conseguiu estipular quanto dinheiro o homem teria levado. Dados da Secretaria de Segurança Pública de SP revelam que casos de violência contra a mulher aumentaram na Grande São Paulo na primeira metade do ano. Em comparação com o mesmo período em 2025, as ocorrências de lesão corporal subiram de 12.298 para 13.685 (alta de 11%). Já as anotações por ameaça foram de 15.886 para 18.471 (alta de 16%) e episódios de violência psicológica saltaram de 574 para 684 (alta de 19%). A psicóloga Lara D`Almeida lança o livro “Tudo Que Você Precisa Saber Sobre TDAH” e explica como o transtorno se manifesta na vida adulta. É importante separar sintomas e comportamentos típicos do TDAH que já apareciam desde a infância dos que surgem apenas na maturidade e evitar auto diagnósticos. Uma jornalista de um programa de fofoca espanhol disse se sentir humilhada após um companheiro de bancada fazer um sinal com a mão pedindo para ela esperar para falar. A apresentadora desabafou ao vivo e abandonou o programa. A psicologa Lara D'Almeida analisa o caso. O ministro do Supremo Flávio Dino emitiu uma decisão ordenando que diversos órgãos apresentem explicações sobre a destinação de emendas parlamentares voltadas para a saúde por agentes políticos que não possuem mandato, como o ex-presidente da Câmara Eduardo Cunha (PRD) e Valdemar Costa Neto (PL). Dino classificou como “totalmente anômalo” que ex-parlamentares tenham gerência sobre esses valores. Essas e outras notícias você confere no Morning Show.

Confira nesta edição do JR 24 Horas: As polícias civil e militar do Rio de Janeiro realizam nesta terça-feira (14), uma operação contra o Comando Vermelho nas comunidades Vila Sape e Cidade de Deus, na zona Sudoeste da cidade. A Justiça autorizou o cumprimento do mandado de busca e apreensão nas comunidades de Jacarepaguá. E ainda: Inscrições para o Fundo de Financiamento Estudantil iniciam nesta terça (14).

Four hours of the Rickey Smiley Morning Show and not a single dull moment. Bishop Joseph Walker opens with a word about divine timing that you may need to hear right now. Then the news hits — a powerful U.S. senator is dead, and another one hasn't been seen in public in so long that people are genuinely wondering if he's still alive. Gary With the Tea unpacks Jay-Z's historic Yankee Stadium residency: the A-list surprise nobody was officially told about, thousands of fans stuck outside for hours, Blue Ivy stepping into the spotlight in a way that broke the internet, and a freestyle from Hov that dragged Colin Kaepernick's name back into a very uncomfortable NFL conversation. A former NFL star is facing explosive allegations with over 100 messages now in front of a judge. Iggy Azalea showed up to the World Cup and left people with serious questions — and Britney Spears was spotted doing something on a Los Angeles freeway that had everyone concerned. Civil rights attorney Ben Crump joins the show live with new details on the Nolan Wells case — a pool party photo, deleted Snapchats, a cell phone that went back to shore without its owner, and why none of the timelines are adding up. Two families. Two drowning cases. Two sets of deleted messages. Tyler Perry, Byron Allen, and Colin Kaepernick are all now involved — and the reasons why will stop you cold. Special K drops the Man Laws, Black Tony calls in with breaking news about a music legend that turns into one of the funniest moments of the week, and Marc Morial closes out the show with a sharp message about Black America, power, and what's coming this fall. It's all here — four hours, no filler, nothing held back.See omnystudio.com/listener for privacy information.

Imagine, as a journalist or activist, trying to access your bank accounts and mysteriously finding them frozen. Debanking — when financial institutions close the accounts of those flagged as problematic, including at the behest of the government – appears to be growing. Civil liberties advocate Rainey Reitman, cofounder of the Freedom of the Press Foundation, reflects on the use of debanking, from Wikileaks to the Southern Poverty Law Center to the NRA. Rainey Reitman, Transaction Denied: Big Finance's Power to Punish Speech Beacon, 2026 Freedom of the Press Foundation Photo by Engin Akyurt on Unsplash The post Financial Censorship appeared first on KPFA.

Neste episódio, fizemos um giro sem pauta pelos principais assuntos da semana, entre eles, o gesto tido como “obsceno” feito por Lula durante uma fala em evento oficial, mais pataquadas de Tariflávio e o assunto mais importante deste ano: Eleições presidenciais. APOIE financeiramente a continuidade do MIDCast: - Apoia.se : https://apoia.se/midcast - Chave PIX : podcastmid@gmail.com # COMPRE produtos na lojinha do MIDCast: colab55.com/@midcast # CANAL do MIDCast Política no WhatsApp: bit.ly/midcast-zap # GRUPO dos ouvintes no Telegram: bit.ly/midcastgrupo # LISTA de paródias do MIDCast: bit.ly/parodiasmidcast PARTICIPANTES: ------------------ Anna Raissa - https://bsky.app/profile/annarraissa.bsky.social Rodrigo Hipólito - https://bsky.app/profile/rodrigohipolito.bsky.social Thais Kisuki - https://bsky.app/profile/thaiskisuki.bsky.social COMENTADO NO EPISÓDIO ------------------ Senado aprova proposta que cria 'PIX Pensão Alimentícia' Lula faz gesto obsceno durante evento oficial do governo Grupo de mulheres de direita ameaça acionar justiça dos EUA Trump admite que pediu para Fifa revisar cartão vermelho Justiça determina a penhora de pagamentos da CazéTV a Romário Em audiência nos EUA, Flávio Bolsonaro diz que este momento é o 'pior possível' Governo acusa Flávio Bolsonaro de legitimar argumentos dos EUA contra Brasil em audiência Deputada Erika Hilton aciona Senacon contra a Sony após anúncio do fim dos jogos físicos no PlayStation Dark Horse: Filme sobre Jair Bolsonaro dá primeiro passo para ser lançado nos cinemas Sem regulamentação, mercados preditivos crescem no Brasil e viram desafio para o governo Prefeitura sanciona lei permitindo que empresas deem nomes a espaços públicos de João Pessoa Quaquá muda de ideia e declara apoio à Benedita para o Senado: ‘não é hora de pensar com o fígado' Quaquá é aprovado pelo diretório do PT, por unanimidade, e vai coordenar a campanha de Lula no Rio Unha e Carne: ex-prefeito de Belford Roxo e ex-secretário da Polícia Civil são alvo da PF Márcio Canella é preso após PF achar fuzil no carro do pré-candidato ao Senado, apontado como braço político de quadrilha Bolsonaro é alvo de operação da PF por ordem de Moraes para verificar se há armas e munições em casa PF apreende espingarda registrada em nome de Bolsonaro que estava no Rio Grande do Sul Bolsonaro desestabilizou economia e foi insensível na pandemia, diz Caiado em podcast Meio/Ideia: disputa entre Lula e Flávio se cristaliza às vésperas das convenções

Hablamos con Virginia Barcones, secretaria general de Proteccion Civil después de que en la tarde de este lunes se haya dado por controlado el incendio de Los Gallardos, en Almería. "Han sido días con muchísima tensión, con muchísimo dolor (...) La excelente labor de los servicios de emergencia ha permitido que hoy podamos decir que el incendio está controlado".Del mismo modo, Barcones se ha referido al cambio climático: "Hay evidencias que son objetivas y es que cuando llueve lo hace de manera torrencial, que los episodios de calor cada vez son más extremos, son más prolongados, cada vez son más anticipados. El cambio climático está aquí, es una realidad científica y objetiva, como lo es que mata. Y la negación es un grave peligro para nuestro país. Negar que la realidad objetiva es esta, lo único que puede conseguir es que no nos anticipemos, que no nos preparemos, que no planifiquemos y que por lo tanto nuestra capacidad de minimizar el daño que estos incendios forestales provoca o cualquier otra catástrofe de índole natural es un grave peligro para todos los que vivimos en este país. porque el la realidad es tozuda y esta es una realidad científica y objetiva", ha señalado.Escuchar audio

Entrevista - Sabino Montenegro - Presidente Asociación Civil Integra Residenciales by En Perspectiva

John Morgan — founder of Morgan & Morgan, one of the largest personal injury firms in the country & author of "Life is Luck: Lessons From a Paperboy and How to Improve Your Luck" joins the Chuck Toddcast for a wide-ranging conversation about civil litigation, the failures of government regulation, and his plan to launch a third party in Florida. Morgan makes the case that civil litigation has grown precisely because government has failed to regulate — social media is a genuine threat to human wellbeing (especially for children), monopolies are squeezing consumers, and processed foods, he argues, are the new tobacco: extremely harmful and ripe for legal reckoning. He offers a candid, colorful assessment of his former firm member RFK Jr. — "smart and crazy," a man who falls down some rabbit holes but also champions legitimate causes — and walks through the thorny reality that vaccine makers enjoy total indemnity while sovereign immunity exists in some form in all 50 states. Morgan is refreshingly honest about the ethics of his own industry, arguing that ads gloating about settlement numbers are a mistake because the real goal of a settlement is to give someone back something they lost, not to celebrate a payday. The heart of the conversation is Morgan's plan to launch a new third party in Florida called "Common Ground," rooted in his conviction that the two-party system itself is what's fundamentally broken in America. Morgan argues that moderates should function as the tiebreakers in a polarized system — that picking up just a few seats could turn an uncommitted moderate bloc into a genuine fulcrum of power in Congress — and explains why he'd rather build something new than partner with the existing Forward Party. He handicaps Florida's political landscape with an insider's candor: Byron Donalds likely wins the governorship but it'll be close, the Charlie Crist party-switch playbook never worked, and he's genuinely unsure whether voters can find David Jolly credible after his own party change.. Morgan laments that too many people now enter politics for the pension and salary rather than public service, criticizes DeSantis for appointing cronies as university presidents, and argues age limits are overdue because government should be about the future and very few politicians remain effective past 70. Along the way he explains why he thinks Texas Democrats fielded a more viable ticket than Florida's (James Talarico, he says, simply has "it"), why Andy Beshear won in Kentucky, why charter schools are about money rather than choice, and why DeSantis's property tax proposal could become a Brexit-style case study in voters making decisions that make no sense once the consequences arrive. Get John's book here https://www.amazon.com/Audible-Life-is-Luck/dp/B0H2K52H4G/ref=sr_1_1?crid=LF7S7OGAT46F&dib=eyJ2IjoiMSJ9.CaRKVB4mHJGTS0bVFd7ONcU6YfsmpGl_tDncLiWRzCNecvHPOVtdrMbXsFl_LNyLxyW8nLRxXL3j5wdKGrHq7hSKazupgR14cC3u74xjkQpTUw2_xdJsVkC21K2kobaEZpdGZJsOkB5HdKgNBvyzjcb0eh8sdqhprrTbUo_1Fss.iLY1CiUpIpHB0Z1TbM0GJH2COy5EqaDcd3D_ItY0mfg&dib_tag=se&keywords=John+Morgan+life+is+luck&qid=1784135091&s=books&sprefix=john+morgan+life+is+luck%2Cstripbooks%2C177&sr=1-1 Protect your family with life insurance from Ethos. Get up to $3 million in coverage in as little as 10 minutes at https://ethos.com/chuck. Application times may vary. Rates may vary. Refresh your wardrobe with Quince. Go to https://Quince.com/chuck for free shipping on your order and 365-day returns. Link in bio or go to https://getsoul.com & enter code TODDCAST for 30% off your first order. Timeline: 00:00 John Morgan joins the Chuck ToddCast 00:45 What is most difficult about nationalizing a law firm? 01:45 When screening for good lawyers, it’s obvious who stands out 03:00 Lawsuits always seem frivolous until it happens to you 03:45 Ads that gloat about settlement numbers are a mistake 04:15 The goal of settlements is to give back something that was lost 05:00 Thoughts on private equity using civil litigation to hedge? 06:15 Involvement in cases against big tech companies 06:45 Social media is a threat to human wellbeing, especially children 08:30 Civil litigation has grown as government has failed to regulate 10:00 Monopolies are squeezing consumers 10:30 Processed foods are like tobacco, extremely harmful 11:00 RFK Jr. was a member of the firm, he’s smart and crazy 12:15 RFK falls down some BS rabbit holes but also has good causes 12:45 Vaccine makers have total indemnity 13:30 Sovereign immunity exists in some fashion in all 50 states 14:00 What’s your process for vetting science? 15:30 Will be launching a third party in Florida - The Common Ground 17:30 Other wealthy people have considered starting third parties 20:00 The two party system is what is broken in the country 20:30 Why not partner with the Forward Party? 22:00 Moderates should be the tiebreakers 23:30 A few uncommitted moderates could be a swing vote in congress 24:15 All you need to do is pick up a few seats to act as a fulcrum 25:45 It’s likely that Donalds wins in Florida, but it will be close 26:30 Why didn’t the Charlie Crist move work for Florida Democrats? 27:45 Can voters find David Jolly credible after changing parties? 29:30 More people are getting into politics for a pension & salary 30:30 People are going into politics for the wrong reasons 31:45 DeSantis appointed his cronies to be university presidents 32:30 Still deciding on whether to support Donalds or Jolly 34:00 Vindman doesn’t have a chance at winning 35:00 Texas Dem ticket is more liberal, why is it more viable than Florida’s? 35:45 James Talarico is very formidable, he has “it” 38:00 Andy Beshear won because Bevin turned on public school teachers 38:45 Charter schools aren’t about choice, they’re about money 39:30 Parental involvement is the best indicator of school performance 40:45 How would you message against DeSantis’s property tax proposal? 41:45 Americans are less interested in “us” and more interested in “me” 42:15 Implementing the property tax proposal will be like Brexit 44:30 Voters can make decisions that make no sense 45:15 Had the itch to run for office, but unlikely to do it 45:45 Government is for the future, should be age limits for elected officials 47:00 Very few elder politicians remain effective past 70 years oldSee omnystudio.com/listener for privacy information.

Chuck Todd devotes much of this episode to a rich, personal reflection on the death of Senator Lindsey Graham at 71 — a figure who can only be understood if you separate the ideologues from the pure politicians, because Graham was unambiguously the latter. Graham always wanted to be in the middle of the Republican Party, treated his Senate seat as something as precious to him as a spouse, and was a genuine political creature who could nonetheless work with everyone, partnering with both Trump and Obama across his career. Chuck shares personal memories — interviewing Graham alongside John McCain, the two of them giving outsized attention to the Steele Dossier; Graham losing his parents in his 20s and raising his 13-year-old sister; even reassuring Chuck’s own wife about her worries over Trump — and argues that Graham, for all his capitulations, actually served as one of the few moderating forces on Trump. He lays out the very real political fallout: Todd Blanche's confirmation as Attorney General is now in serious jeopardy, Graham leaves a massive vacuum in the GOP conference, and his South Carolina seat could actually be competitive for Democrat Annie Andrews if the Republican primary lurches far enough to the right. From there Chuck draws a series of parallels between American and British politics — Labour returning to power on a promise of competence and stability, Nigel Farage (like Trump) trying to convert political fame into personal wealth, and the satirical candidate "Count Binface" holding up a mirror to a political culture that has become pure theater — musing, only half-jokingly, that America could use its own Count Binface. Chuck closes on a sober note about the U.S.-Israel relationship, which he believes is heading for a real retreat: he recalls how close the region came to a two-state peace two decades ago, how the collapse of that moment allowed radicalism to escalate on both sides until each could argue the other doesn't want peace, and points to Rahm Emanuel's recent speech in Israel — warning that Israel must articulate a vision for what comes after the war or risk isolating itself from younger and moderate Americans — as the sound of someone trying to save a political center that vanishes the moment people conclude moderates don't have answers. Then, John Morgan — founder of Morgan & Morgan, one of the largest personal injury firms in the country & author of "Life is Luck: Lessons From a Paperboy and How to Improve Your Luck" joins the Chuck Toddcast for a wide-ranging conversation about civil litigation, the failures of government regulation, and his plan to launch a third party in Florida. Morgan makes the case that civil litigation has grown precisely because government has failed to regulate — social media is a genuine threat to human wellbeing (especially for children), monopolies are squeezing consumers, and processed foods, he argues, are the new tobacco: extremely harmful and ripe for legal reckoning. He offers a candid, colorful assessment of his former firm member RFK Jr. — "smart and crazy," a man who falls down some rabbit holes but also champions legitimate causes — and walks through the thorny reality that vaccine makers enjoy total indemnity while sovereign immunity exists in some form in all 50 states. Morgan is refreshingly honest about the ethics of his own industry, arguing that ads gloating about settlement numbers are a mistake because the real goal of a settlement is to give someone back something they lost, not to celebrate a payday. The heart of the conversation is Morgan's plan to launch a new third party in Florida called "Common Ground," rooted in his conviction that the two-party system itself is what's fundamentally broken in America. Morgan argues that moderates should function as the tiebreakers in a polarized system — that picking up just a few seats could turn an uncommitted moderate bloc into a genuine fulcrum of power in Congress — and explains why he'd rather build something new than partner with the existing Forward Party. He handicaps Florida's political landscape with an insider's candor: Byron Donalds likely wins the governorship but it'll be close, the Charlie Crist party-switch playbook never worked, and he's genuinely unsure whether voters can find David Jolly credible after his own party change.. Morgan laments that too many people now enter politics for the pension and salary rather than public service, criticizes DeSantis for appointing cronies as university presidents, and argues age limits are overdue because government should be about the future and very few politicians remain effective past 70. Along the way he explains why he thinks Texas Democrats fielded a more viable ticket than Florida's (James Talarico, he says, simply has "it"), why Andy Beshear won in Kentucky, why charter schools are about money rather than choice, and why DeSantis's property tax proposal could become a Brexit-style case study in voters making decisions that make no sense once the consequences arrive. Finally, Chuck hops into the ToddCast Time Machine to break down the messy build up and coalitions involved in the Spanish civil war, and what lessons modern America can take from it. He also answers listeners’ questions in the “Ask Chuck” segment and make a proposal for a change to the baseball Hall of Fame. Get John Morgan's book here: https://www.amazon.com/Audible-Life-is-Luck/dp/B0H2K52H4G/ref=sr_1_1?crid=LF7S7OGAT46F&dib=eyJ2IjoiMSJ9.CaRKVB4mHJGTS0bVFd7ONcU6YfsmpGl_tDncLiWRzCNecvHPOVtdrMbXsFl_LNyLxyW8nLRxXL3j5wdKGrHq7hSKazupgR14cC3u74xjkQpTUw2_xdJsVkC21K2kobaEZpdGZJsOkB5HdKgNBvyzjcb0eh8sdqhprrTbUo_1Fss.iLY1CiUpIpHB0Z1TbM0GJH2COy5EqaDcd3D_ItY0mfg&dib_tag=se&keywords=John+Morgan+life+is+luck&qid=1784135091&s=books&sprefix=john+morgan+life+is+luck%2Cstripbooks%2C177&sr=1-1 From the opening whistle to the final kick. Bet on a match and get bonus bets for every goal scored at Fanduel.com Protect your family with life insurance from Ethos. Get up to $3 million in coverage in as little as 10 minutes at https://ethos.com/chuck. Application times may vary. Rates may vary. Refresh your wardrobe with Quince. Go to https://Quince.com/chuck for free shipping on your order and 365-day returns. Link in bio or go to https://getsoul.com & enter code TODDCAST for 30% off your first order. Timeline: 00:00 Chuck Todd’s introduction 04:15 Senator Lindsey Graham dead at 71 04:45 Reactions to Graham are filtered through one’s personal politics 05:30 There are ideologues and there are politicians. Graham was the latter 06:45 Graham always wanted to be in the middle of the Republican party 09:00 Graham’s senate seat was as important to him as a spouse 11:15 Certain people are just political creatures, like Graham and Cruz 12:45 Graham was able to work with everyone on both sides of the aisle 13:30 Graham worked with both Trump and Obama 15:30 Conspiracy theories are swirling about Graham’s death 16:15 There needs to be a thorough autopsy to put conspiracies to rest 17:30 Chuck interviewed Graham & McCain, they mentioned the Steele Dossier 18:15 Graham and McCain gave the most attention to the Dossier 20:30 Graham’s parents died in his 20s, he raised his 13 year old sister 22:30 Chuck had Graham as a dark horse candidate for 2008 23:15 Graham was aware of the rumors and never addressed them directly 24:30 The real world impact on politics from Graham’s passing 25:00 Todd Blanche’s confirmation is now in serious jeopardy 25:30 Graham leaves a massive vacuum in the GOP conference 28:00 Graham kept Trump from fully going down the fascist road 29:15 Unlike Trump, Graham sees Putin as a threat & backed Ukraine 31:15 Impact on the South Carolina elections 32:00 There will be lots of Republicans looking to jump into the primary 33:15 If primary goes super right-wing, Democrat Annie Andrews has a shot 35:15 Graham reassured Chuck’s wife after expressing worries about Trump 37:45 Graham knew if he had gone hard on Trump, he’d lose his senate seat 38:45 There are parallels between U.S. and U.K politics 39:45 Labour came back into power promising competence and stability 40:45 Nigel Farage, like Trump… is trying to turn political fame into wealth 42:30 “Count Binface” has been challenging Farage as a satirical candidate 43:30 The man who made UK politics theatrical, now facing a theatrical challenge 44:00 The U.S. could really use a “Count Binface” to hold up a mirror 45:15 What if we accepted the premise of politics as entertainment? 46:00 Should we host a political reality show on an island 47:15 Governing experience has become a liability in American politics 48:00 Media rewards performance more than competency 50:15 There is going to be a retreat in the American-Israeli partnership 50:45 20 years ago we were very close to peace & two state solution 52:45 When moderation & compromise fail, radicalism takes its place 54:00 There was a serious chance for peace two decades ago 54:30 After both sides walked away, the radicalism escalated 56:15 The extremes can now argue the other side doesn’t want peace 57:00 Rahm Emmanuel travels to Israel to give speech 58:00 Rahm says Israel must provide vision for what comes after war 59:15 Rahm warns Israel risks isolating itself from younger & moderate Americans 1:00:45 Rahm sounds like someone trying to save the political center 1:02:00 Moderation disappears when it feels like moderates don’t have answers 01:12:30 John Morgan joins the Chuck ToddCast 01:13:15 What is most difficult about nationalizing a law firm? 01:14:15 When screening for good lawyers, it’s obvious who stands out 01:15:30 Lawsuits always seem frivolous until it happens to you 01:16:15 Ads that gloat about settlement numbers are a mistake 01:17:00 The goal of settlements is to give back something that was lost 01:18:15 Thoughts on private equity using civil litigation to hedge? 01:18:45 Involvement in cases against big tech companies 01:19:15 Social media is a threat to human wellbeing, especially children 01:21:00 Civil litigation has grown as government has failed to regulate 01:22:30 Monopolies are squeezing consumers 01:23:00 Processed foods are like tobacco, extremely harmful 01:23:30 RFK Jr. was a member of the firm, he’s smart and crazy 01:24:45 RFK falls down some BS rabbit holes but also has good causes 01:25:15 Vaccine makers have total indemnity 01:26:00 Sovereign immunity exists in some fashion in all 50 states 01:26:30 What’s your process for vetting science? 01:28:00 Will be launching a third party in Florida - The Common Ground 01:30:00 Other wealthy people have considered starting third parties 01:32:30 The two party system is what is broken in the country 01:33:00 Why not partner with the Forward Party? 01:34:30 Moderates should be the tiebreakers 01:36:00 A few uncommitted moderates could be a swing vote in congress 01:36:45 All you need to do is pick up a few seats to act as a fulcrum 01:38:15 It’s likely that Donalds wins in Florida, but it will be close 01:39:00 Why didn’t the Charlie Crist move work for Florida Democrats? 01:40:15 Can voters find David Jolly credible after changing parties? 01:42:00 More people are getting into politics for a pension & salary 01:43:00 People are going into politics for the wrong reasons 01:44:15 DeSantis appointed his cronies to be university presidents 01:45:00 Still deciding on whether to support Donalds or Jolly 01:46:30 Vindman doesn’t have a chance at winning 01:47:30 Texas Dem ticket is more liberal, why is it more viable than Florida’s? 01:48:15 James Talarico is very formidable, he has “it” 01:50:30 Andy Beshear won because Bevin turned on public school teachers 01:51:15 Charter schools aren’t about choice, they’re about money 01:52:00 Parental involvement is the best indicator of school performance 01:53:15 How would you message against DeSantis’s property tax proposal? 01:54:15 Americans are less interested in “us” and more interested in “me” 01:54:45 Implementing the property tax proposal will be like Brexit 01:57:00 Voters can make decisions that make no sense 01:57:45 Had the itch to run for office, but unlikely to do it 01:58:15 Government is for the future, should be age limits for elected officials 01:59:30 Very few elder politicians remain effective past 70 years old 02:02:30 Thoughts on the interview with John Morgan 02:03:00 ToddCast Time Machine - July 17th, 1936 02:03:30 Start of the Spanish civil war 02:04:15 Why does Spain’s civil war stand out in history? 02:05:30 The war wasn’t simply a fight between left and right 02:06:00 1930s Spain had every divide imaginable 02:07:00 Political violence became common, political center got smaller 02:07:45 The left wing coalition that won was barely united at all 02:08:45 Military units in Morocco revolted, then coup spread to Spain 02:09:30 Franco eventually united a fascist coalition with military command 02:10:15 The left’s internal divisions became one of Franco’s advantages 02:11:30 Civilians became part of the battlefield and were targeted 02:13:00 George Orwell’s writing came directly from his experiences in Spain 02:14:15 The fascist wing won the war and Franco ruled until 1975 02:15:00 Pluralism only emerged after decades of authoritarian rule 02:16:30 The transition out of authoritarianism came from exhaustion, not agreement 02:18:00 Sharing power with opponents is preferable to violence 02:19:15 Book recommendations for learning more about the Spanish civil war 02:20:15 Ask Chuck 02:20:30 How can we get back to lasting governance and progress? 02:26:00 Could Trump run as VP or speaker then ascend back to the presidency? 02:29:15 Why do prominent political interviews not have aggressive follow ups? 02:35:45 Who was the best pitcher of this generation that’s retiring? See omnystudio.com/listener for privacy information.

RENDIMOS HOMENAJE a nuestros HEROES: Bomberos, UME, Guardia Civil, Municipales, Protección Civil, Sanitarios, Infoca y + Hoy en Estación GNG rendimos homenaje a nuestros héroes. Este programa está dedicado a todas las personas que han trabajado sin descanso frente al incendio de Los Gallardos: bomberos, UME, Guardia Civil, policías locales, Protección Civil, sanitarios, efectivos del Plan Infoca, Emergencias 112, Cruz Roja, agentes de Medio Ambiente, operarios municipales, voluntarios y vecinos. Gracias por vuestra valentía, vuestro esfuerzo y vuestra entrega en momentos tan duros. Gracias por proteger nuestros pueblos, nuestras casas, nuestros montes y, sobre todo, a tantas personas que vivieron horas de enorme preocupación. Detrás de cada uniforme hay una persona que dejó a un lado el cansancio y el miedo para ayudar a los demás. Por eso, hoy nuestra música quiere convertirse en un gran aplauso para todos vosotros. Nuestro abrazo más sincero para Los Gallardos, Bédar, Antas, La Serena y todas las zonas afectadas. Gracias por estar cuando más se os necesitaba. Gracias por cuidar de nuestra tierra. Este programa va por vosotros. Paz, música y gratitud.

Protección Civil alerta por lluvias intensas e inundaciones Alzheimer podría comenzar décadas antes de los primeros síntomasDesarrollan prueba con lágrimas para detectar Parkinson  Más información en nuestro podcast #grc

Beginning Music: Glenn Gould - Goldberg Variation #5Ending Music: Electronic - Getting Away With it (Instrumental)Remember to Register to vote! Mass Residents should go to: https://www.sec.state.ma.us/ele/For more Civil Politics visit our website, civilpoliticsradio.com!If you want to get alerted to new episodes on social media, follow our Bluesky: @CivilPoliticsRadio.comDon't miss another episode - subscribe to our podcast (iTunes, Google Play, Spotify, and more!)This podcast is a member of the Planetside Podcast Network. Visit PlanetsidePodcasts.com to find other Planetside Productions!

In this episode, Jerry Bradshaw discusses: Bringing more civil aggression into your sport or police dogs.  Utilizing prey guarding to start training young dogs for proactive defense. The difference between uncontrolled aggression and expressive aggression.  What to look for in a patrol dog regarding civil aggression.  The three ways dogs manifest a reaction to a threat.    Key Takeaways: In our training for our police dogs, we're concentrating on these civil aggression essentials and thinking about how that decoy can bring about some of that aggression, and then we can start to minimize the cues that bring out that aggression, and then it becomes much more contextual. Don't let people make you believe that just because a dog shows expressiveness and aggression in an expressive way, the dog will become uncontrollable and incapable. Defense is not a dirty word. There's nothing to be scared of. Defense is not a weakness.  When promoting aggression and tapping into the defensive side of the dog, and building confidence in those reactions is ignored, oftentimes the dog cannot figure out how to bring a prey response out of a decoy, which can lead to displacement behaviors.    "It's easier to cap a dog when he understands how to be expressive than to never allow him to be expressive in the beginning." —  Jerry Bradshaw   Get Jerry's book Controlled Aggression on Amazon.com   Contact Jerry: Website: controlledaggressionpodcast.com Email: JBradshaw@TarheelCanine.com Tarheel Canine Training:  www.tarheelcanine.com YouTube:  tarheelcanine Twitter: @tarheelcanine Instagram: @tarheelk9 Facebook: TarheelCanineTraining Protection Sports Website: psak9-as.org Patreon:   patreon.com/controlledaggression Slideshare: Tarheel Canine Calendly: https://calendly.com/tarheelcanine  Tarheel Canine Seminars: https://streetreadyk9.com/  Tarheel Canine Student Portal: https://tcstudentportal.com/    Sponsors:  ALM K9 Equipment: almk9equipment.com PSA & American Schutzhund: psak9-as.org Tarheel Canine: tarheelcanine.com The Drive Company: thedriveco.com  The Drive Company Instagram: instagram.com/thedrive.co  Dog Armour: dogarmour.com  Dog Armour Instagram: instagram.com/dogarmourpro  Rogue Arsenal: roguearsenal.com  Rogue Arsenal Instagram: instagram.com/rogue_arsenal_official    Find out more about Hold The Line Conference 2026 at https://htlk9.com/    Train hard, train smart, be safe.     Show notes by Podcastologist Chelsea Taylor-Sturkie   Audio production by Turnkey Podcast Productions. You're the expert. Your podcast will prove it. 

We're joined today by Rod Morrow from The Black Guy Who Tips Podcast. In this episode, we talk about new information in the Nolan Wells case, some progressive takes on Graham Platner ending his campaign, whether Mitch McConnell is alive, members of congress caping for Caitlin Clark, and LeBron James posting his workouts online.Join our Patreon at www.patreon.com/threeguyson Here's the YouTube link for today's show: https://youtu.be/IlvUxUgxPO0 ---------------------Intro music by Felt FiveOutro music by Infrared Krypto

A wide-ranging episode covering surveillance, digital control, Canada's political landscape, MAID, and geopolitical corruption. The conversation moves from China-made EVs in Canada to EU in-car monitoring laws, Flock cameras, AI surveillance, and the growing normalization of state oversight. Highlights A title mix-up turns into the opening banter and sets the tone. World Cup conspiracy talk and the strange way narratives spread. Chinese EVs arriving in Canada at luxury-car prices. The EU's new in-car driver-monitoring cameras. Flock cameras and the expansion of vehicle surveillance. AI-powered municipal enforcement and trash-truck camera programs. A digital bill of rights and the fight over AI-era civil liberties. Canada's Ukraine spending, Brookfield condo controversy, and political accountability. MAID, organ donation, and concerns about public messaging. A viral AI music video tied to JFK, free energy, and symbolism. Charity fraud, garbage dumping on Crown Land, and disturbing park behavior. Key Themes Surveillance creep Technocracy and digital control Government overreach Media distrust Canadian politics and corruption Civil liberties in the AI era Closing Thought This episode argues that the technology itself is only part of the problem; the deeper issue is how governments use it, normalize it, and expand it over time.   To gain access to the second half of show and our Plus feed for audio and podcast please clink the link http://www.grimericaoutlawed.ca/support. For second half of video (when applicable and audio) go to our Substack and Subscribe. https://grimericaoutlawed.substack.com/ or to our Locals  https://grimericaoutlawed.locals.com/ or Patreon https://www.patreon.com/grimericaoutlawed   Support the show directly: https://open.spotify.com/show/2punSyd9Cw76ZtvHxMKenI?si=ImKxfMHgQZ-oshl499O4dQ&nd=1&dlsi=4c25fa9c78674de3 Watch or Listen on Spotify https://www.simulationmaps.com/#products Disaster Maps, Volcano Sim, Asteroid Sim, Shipwreck Map, UFO Map etc https://grimericacbd.com/ CBD / THC Tinctures and Gummies https://grimerica.ca/support-2/ Our Adultbrain Audiobook Podcast and Website: www.adultbrain.ca Check out our next trip/conference/meetup - Contact at the Cabin www.contactatthecabin.com Join the chat / hangout with a bunch of fellow Grimericans  Https://t.me.grimerica grimerica.ca/chats   Discord Chats Darren's books www.acanadianshame.ca Sign up for our newsletter http://www.grimerica.ca/news InstaGRAM https://www.instagram.com/the_grimerica_show_podcast/  Purchase swag, with partial proceeds donated to the show www.grimerica.ca/swag ART - Napolean Duheme's site http://www.lostbreadcomic.com/  MUSIC Tru Northperception, Felix's Site sirfelix.bandcamp.com    Links to the stuff we chatted about: https://x.com/wideawake_media/status/2074786953627677083?s=20 https://x.com/digijordan/status/2074897491166642177?s=20 https://x.com/AshtonForbes/status/2074924448864469198?s=20 https://x.com/thesovereignceo/status/2074554630449832343?s=20 https://x.com/AaronGunn/status/2074570670097203206?s=20 https://x.com/amuse/status/2074511176931619196?s=20 https://x.com/shanaka86/status/2074473739266473984?s=20 https://x.com/mario4thenorth/status/2074624898853474398?s=20 https://x.com/drawandstrike/status/2074492770832527602?s=20 https://x.com/MJTruthUltra/status/2074484787083870669?s=20 https://x.com/erik_thorvalds/status/2074175492291461228?s=20 https://nakedemperor.substack.com/p/why-we-need-a-digital-bill-of-rights?utm_source=post-email-title&publication_id=602373&post_id=206279647&utm_campaign=email-post-title&isFreemail=true&r=24pqe&triedRedirect=true&utm_medium=email https://x.com/danielgilr44222/status/2075311311236288881?s=43%22%3Ehttps://x.com/danielgilr44222/status/2075311311236288881?s=43%3C/a https://x.com/realstewpeters/status/2074972162176307537?s=43%22%3Ehttps://x.com/realstewpeters/status/2074972162176307537?s=43%3C/a https://x.com/wealthmoose/status/2074900667181748229?s=43%22%3Ehttps://x.com/wealthmoose/status/2074900667181748229?s=43%3C/a https://x.com/Pascal_Laurent_/status/2059578163810701453 https://x.com/deadwronghist/status/2074846238785376587?s=43%22%3Ehttps://x.com/deadwronghist/status/2074846238785376587?s=43%3C/a https://x.com/m0ath/status/2074911855819321789?s=43%22%3Ehttps://x.com/m0ath/status/2074911855819321789?s=43%3C/a https://x.com/cbcwatcher/status/2074539446746116246?s=43%22%3Ehttps://x.com/cbcwatcher/status/2074539446746116246?s=43%3C/a     Timestamps 0:02— Opening banter and title confusion 2:23— World Cup conspiracy talk 6:17— Chinese EVs in Canada 11:23— EU driver-monitoring camera law 23:33— Flock camera surveillance discussion 33:18— RCMP visits over online posts 35:02— Digital bill of rights 40:40— Canada and Ukraine funding 43:55— Super yacht controversy 55:28— MAID and organ donation discussion 64:41— AI music video and symbolism 73:11— Tick experiment clip 85:37— Brookfield/Condo controversy 92:23— Charity fraud segment 94:25— Crown Land / park safety concerns  

How can you lose a civil lawsuit after being acquitted of the same crime in a criminal court? Trey answers listener questions to break down the massive gap between civil liability and criminal burdens of proof, utilizing the infamous O.J. Simpson case as a prime example. Plus, Trey switches gears from the courtroom to the green to share his top five favorite golf courses and open up about his personal golf handicap. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Civil rights attorney Ben Crump is now representing the family of 18-year-old Nolan Wells who went missing on the Fourth of July. The college football player set out on a boat with a group of white friends to party with other young adults off the coast of Mississippi. His body was found days later off Horn Island with no explanation of how he ended up dead, in the water. As the family awaits results of an independent autopsy, police are asking anyone with videos or photos from the island party to immediately contact authorities.See omnystudio.com/listener for privacy information.

Civil rights attorney Ben Crump is now representing the family of 18-year-old Nolan Wells who went missing on the Fourth of July. The college football player set out on a boat with a group of white friends to party with other young adults off the coast of Mississippi. His body was found days later off Horn Island with no explanation of how he ended up dead, in the water. As the family awaits results of an independent autopsy, police are asking anyone with videos or photos from the island party to immediately contact authorities.See omnystudio.com/listener for privacy information.

Civil rights attorney Ben Crump is now representing the family of 18-year-old Nolan Wells who went missing on the Fourth of July. The college football player set out on a boat with a group of white friends to party with other young adults off the coast of Mississippi. His body was found days later off Horn Island with no explanation of how he ended up dead, in the water. As the family awaits results of an independent autopsy, police are asking anyone with videos or photos from the island party to immediately contact authorities.See omnystudio.com/listener for privacy information.

A guilty plea to seven counts of murder, with an admission to an eighth, establishes the underlying facts for purposes of civil litigation. This look back, with defense attorney and former prosecutor Eric Faddis, examines the wrongful death lawsuit filed in the wake of Rex Heuermann's plea and what it means for his family's legal exposure.The suit, filed by the son of victim Valerie Mack, names Asa Ellerup and their daughter Victoria Heuermann as defendants, alleging the family profited from a documentary and demonstrated disregard for the victims. Counsel for Ellerup has characterized the claims as reckless. Faddis analyzes the legal theory — what a wrongful death action requires, how the guilty plea alters the evidentiary landscape in civil proceedings, and where the line falls between proximity to a convicted offender and actionable legal liability. He addresses whether the allegations as currently framed are likely to survive initial legal challenges.The segment also examines the plea agreement itself. Heuermann's attorney described the guilty plea as a "sense of relief" for his client — language that behavioral analysts read very differently than the general public might. Retired FBI Behavioral Analysis Chief Robin Dreeke assesses what that framing reveals about the defendant's psychological relationship to his crimes, and what the FBI cooperation requirement — part of the plea agreement — is designed to produce. Heuermann confirmed strangulation as the cause of death for each victim and is expected to be sentenced to three consecutive life terms plus an additional hundred years. We revisit where the matter stood at the time of our reporting.Join Our SubStack For AD-FREE ADVANCE EPISODES & EXTRAS!: https://hiddenkillers.substack.com/ Want to comment and watch this podcast as a video? Check out our YouTube Channel. https://www.youtube.com/channel/UC8-vxmbhTxxG10sO1izODJg?sub_confirmation=1 Instagram https://www.instagram.com/hiddenkillerspod/ Facebook https://www.facebook.com/hiddenkillerspod/ Tik-Tok https://www.tiktok.com/@hiddenkillerspod X Twitter https://x.com/TrueCrimePodThis publication contains commentary and opinion based on publicly available information. All individuals are presumed innocent until proven guilty in a court of law. Nothing published here should be taken as a statement of fact, health or legal advice.#RexHeuermann #GilgoBeachKiller #LISK #WrongfulDeath #AsaEllerup #EricFaddis #RobinDreeke #CivilLiability #TrueCrime #HiddenKillers

Episode 5484: The Start Of America's Civil Rift