Podcasts about Lambert

Eugénie Lambert Buckstein a fondé Bloom il y a 6 ans. Elle vient tout juste de fermer les portes du Studio Bloom… et décrit cette étape comme l'une des périodes les plus excitantes de sa vie.Bien sûr, Bloom continue de vivre et de se développer.Mais comment vivre avec autant de sérénité la fermeture d'un lieu que l'on a mis des années à construire, qui a rassemblé une communauté entière et donné naissance à un projet pionnier sur le marché français ?Pour répondre à cette question, il faut remonter le fil de son parcours.DeJournaliste productrice pour CNN, spécialisée dans la couverture des conflits internationaux, à fondatrice d'une méthode de méditation, Eugénie partage les expériences qui ont façonné son regard sur le travail, l'ambition, le stress… et l'échec.Après avoir couvert les attentats du 13 novembre 2015 puis du 14 juillet 2016, elle traverse un burn-out accompagné d'un syndrome de stress post-traumatique sévère. C'est à ce moment que la méditation entre dans sa vie, non comme une échappatoire, mais comme un véritable outil.« On n'apprend rien du succès. En revanche, on ne fait jamais deux fois la même erreur. »Au cours de notre conversation, Eugénie revient pour la première fois sur la fermeture du Studio Bloom, son rapport au travail, la curiosité qui guide chacune de ses décisions et la philosophie qui lui permet aujourd'hui de considérer qu'une entreprise peut évoluer, se transformer ou refermer un chapitre sans que cela remette en cause la trajectoire.Un épisode inspirant sur la résilience, le travail, la méditation… et l'art de savoir tourner une page.Pour participer aux événements BWP, rdv sur businesswomeninparis.com, @businesswomeninparis et inscrivez-vous à la newsletter.Titre : Not KingsAuteur : Candy SaysSource : https://candysays.bandcamp.com/Licence : https://creativecommons.org/licenses/by-sa/3.0/deed.frTéléchargement : https://auboutdufil.com/?id=561Hébergé par Ausha. Visitez ausha.co/politique-de-confidentialite pour plus d'informations.

In this heartbreaking yet crucial episode of Locating the Lost, we sit down with Christy, the sister of Brenda Gail Lambert, to shine a light on a case that has remained unsolved for over three decades.On July 26, 1992, 22-year-old Brenda Gail Lambert celebrated her son's first birthday at her home in Bluewell, West Virginia. It should have been a day of joy and milestones. Instead, it was the last day Brenda was ever seen. Shortly after the party, Brenda vanished without a trace, leaving behind her two young children, her family, and a cloud of unanswered questions that still haunts Mercer County today.Join us as Christy shares intimate memories of her sister, the devastating impact of the sudden disappearance, and the relentless, 34-year battle the family has fought to keep Brenda's name alive and uncover the truth. Someone knows what happened that July evening. It's time to bring Brenda home.

They may be in business to sell homes, but Jamie and Tawni Lambert carry a deeper purpose for their lives...and their firm, than just selling homes. Hailing from Colorado, they moved to Central Florida last year, and they now operate Royal Kingdom Realty. Also, author Drew Reitzel shares how the process of writing a book was both rewarding and painful.

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

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

Friday on The A-Team, Adam Clanton and Adam Wexler preview the Astros-Orioles series, examine the club's pitching, share their thoughts on Gary Payton's MJ comments, and reveal the latest "Ten on the Texans."

The 2026 Initials Invitational presented by St. Paul Federal Credit Union begins as John Kriesel, Dav Lambert, Jon Krawczynski, Kelsey Cook and Chad Greenway battle with one spot in the semifinals on the line!See omnystudio.com/listener for privacy information.

Every Friday around 8:15​-8:20 a.m. on KFAN 100.3 the Power Trip Morning show plays the Initials Game presented by Builders and Remodelers!The game involves 12 items people, place, things, phrases or anything as long as they share the same initials. All 12 items share the same initials. The contestants do not know the initials until they are revealed shortly before the game starts. Each item has 6 clues. As soon as the contestants know who or what the host is describing, they yell out their name. Their name is their buzzer. If the contestant gets it right, they get a point. If they get it wrong they are out for just that item. The item does have to be pronounced correctly. It is best out of 12 with tiebreakers if needed. Tiebreaker items have 3 clues.#InitialsGame #ThePowerTrip #KFAN1003FOLLOW The Power Trip on Social Media:► Like the show on Facebook: http://www.facebook.com/PowerTripKFAN​​► Follow the show on Instagram: http://www.instagram.com/PowerTripKFAN​​► Follow the show on Twitter: http://www.twitter.com/PowerTripKFAN​​► Follow Cory Cove on Twitter: http://www.twitter.com/CoryCove​​► Follow Chris Hawkey on Twitter: http://www.twitter.com/Chris_Hawkey​​► Follow Meatsauce on Twitter: http://www.twitter.com/Meatsauce1​► Follow Mark Parrish on Twitter: http://www.twitter.com/MarkDParrish► Follow Marney Gellner on Twitter: http://www.twitter.com/MarneyGellner► Follow Aj Mansour on Twitter: http://www.twitter.com/AjKFAN► Follow Zach Halverson on Twitter: http://www.twitter.com/ZachHalversonSee omnystudio.com/listener for privacy information.

Over the past 55 plus years, John Gilbert Luebtow has become one of the most respected names in contemporary glass sculpture. Inspired by Friedrich Froebel, the inventor of kindergarten, the artist developed innovative technical processes in glass-making, introducing and incorporating gesture and expressive qualities into impeccably finished sculptural components. A student of Harvey Littleton, Mark Peiser and others, Luebtow explored blown, cast, and fused glass, as well as other techniques. Lois Lambert Gallery, Santa Monica, California, presented Retrospective – From 1972 to 2023, a recent exhibition of work by 82-year-old Luebtow. Lambert wrote: "Luebtow has been creating art for over 55 years, specializing in kiln formed glass, and has become one of the most important names in contemporary glass sculpture. He is most known for his innovation in the technical processes of working with glass, developing his own methods and even building his own tools for creating large-scale glass sculptures and installations up to 25 feet tall. At the heart of Luebtow's artistic philosophy is a curiosity about the processes of creation and a commitment to forging something entirely new. Luebtow's work integrates glass with architecture, becoming equal parts artistic expression and engineering endeavors. Despite his skilled background in drawing, painting, and ceramics, Luebtow ultimately has chosen glass as his primary medium, as 'no other material deals with light, line, movement, change, intensity…all things visual…as glass does, while also paralleling life, having an inner and outer self, and an internal and external presence or being.'  Inspiration for Luebtow's work can be found in everything that is experienced in life, pairing beauty along with the reality of life's struggles. 'The events of our times, then and now, affect everything we do and are allowed to do. We are what we have experienced and what we remember.' Luebtow's sculptures, though not limited to, can be categorized by two different themes: political/social commentary and the abstraction of beauty. Many of Luebtow's sculptures use images of the American flag to reflect on and process political and social happenings. Other works utilize linear and geometric forms with added surface embellishment, to create technically perfect investigations of beauty and abstraction." Exploring rhythm and movement of line in sculptural form, Luebtow developed his Linear Form Series of cast and slumped glass sculpture. Working on a large scale required engineering skills to design and build kilns as large as 14' long x 10' wide x 4' tall to produce the elements for large scale architectural installations. Working with float glass, Luebtow left his mark on architectural spaces in and around Los Angeles, where his studio is located, and the country. His art required the design and building of equipment and development of processes that were almost as much art as the art itself. Projects such as Invenire, Ventus Vitae, and Sapere Aude were groundbreaking aesthetic and technical highlights of his career as a sculptor. Luebtow, a Milwaukee, Wisconsin native, holds a BA from California Lutheran College, and two distinct MFAs from UCLA (one in ceramics and one in glass). Since 1966, Luebtow has exhibited in over 175 exhibitions throughout the United States and abroad, including exhibitions at the Los Angeles County Museum of Art, CA; Tacoma Art Museum, WA; Zimmer Museum, CA; Corning Museum, NY; Carnegie Museum, PA; Oakland Museum of Art, CA; Santa Monica Museum of Art, CA; Louisville Art Museum, KY; Manhattan Beach Art Museum, CA; and Orange County Museum of Art, CA. His work has been commissioned by major public and private corporations including Hewlett-Packard (HP), ARCO (Atlantic Richfield), American Airlines, NESTLÉ (Carnation), and the Scripps Research Institute in La Jolla. Over 160 articles have been published about Luebtow's work. Wrote Shana Nys Dambrot for Patricia Correa Gallery: "John Luebtow has consistently addressed a quadrum of fundamental sculptural issues throughout his career: line, form, space, and light. These are broad considerations, to be sure; to a certain extent, they are inherent to all visual art media. What is significant in Luebtow's fidelity to this set of issues is not only his tenacity in the unraveling of their mysterious laws, but also the extraordinarily wide range of approaches he has drawn to them. The mystery he pursues is the technical spiritual identity of his medium. He searches within the sovereign form of his subjects for the abstract evidence of the energetic rhythm of movement."  For a full review of his career, Luebtow has written and published Glass, A Life Time of Creating,available now.  

Baltimore Orioles at Houston Astros by Tony T. Baltimore is batting .227 on the road with a .380 slugging percentage. Astros at home hit .232 with a .405 slugging percentage. Lambert in his past five starts has an ERA of 2.48 with WHIP of 0.93. Both bullpens are in great form in their past 23 games. Orioles are 18-26 on the road with a -6.1-unit loss.

Tony Rodriguez joins us one last time for a sequel episode of sorts to our one about gay Looney Tunes shorts. This time, we're focused on old-time Disney shorts that lend themselves to a queer reading. If you want to watch this cartoons before you listen, here's a list of where you can find them online. In order of discussion: Ferdinand the Bull (1938) The Cookie Carnival (1935) Father's Day Off (1953) The Big Bad Wolf (1934) Golden Eggs (1941) King Neptune (1932) Lambert the Sheepish Lion (1952)

This time on The Activity Continues, Megan and Amy rolled the dice and landed on The Holzer Files: Lambert Castle. What followed was a haunted castle, mysterious past-life connections, family secrets, psychic roadblocks, and one very persistent paranormal mystery that may or may not have been completely solved.Along the way, we also spent a surprising amount of time introducing Megan to Amy's newest foster-fail pup, discussing whether ghosts can keep secrets for over a century, and trying to decide if Lambert Castle was genuinely haunted or just really committed to being dramatic.This is the public (edited) version of this episode. If you would like to see the full episode, mostly unedited, please go to our Patreon where you can join us, and watch this and all our upcoming episodes ad-free and often extended. Or you can purchase just this episode. We'd love to have you as part of the Ghosty Fam!Grab a drink, meet the newest member of the canine cast, and join us for a night of ghosts, castles, and chaos.OBS made a terrible life choice during this recording and partially hid Megan behind the episode footage. We didn't discover it until editing. The audio is fine. Megan survived.Content Warning:We didn't find anything we thought might deserve a warning, except that we swear.Chapter Markers 00:31 Intro02:09 Start? Naw, not yet.02:30 Sidequest: Paranormal Encounters03:51 Rolling the Dice05:15 The Episode44:22 After the Episode47:13 Next TimeEpisode links:Lambert CastleTickets: https://www.passaiccountynj.org/departments/engineering/lambert-castleWiki: https://en.wikipedia.org/wiki/Lambert_CastleIG: https://www.instagram.com/lambertcastle/Facebook: https://www.facebook.com/LambertCastleNJ/Holzer Files: https://www.imdb.com/title/tt10738706/Paranormal Mysteries: https://www.imdb.com/title/tt34889365/  The Activity Continues is a paranormal podcast where soul friends Amy and Megan chat about true crime, ghost stories, hauntings, dreams, and other paranormal stuff including the TV show, The Dead Files. Our recaps are full of recurring jokes about recurring tropes. This episode was recorded on June 15,2026 and released on July 9, 2026.DisclaimerThe Activity Continues is not affiliated with Warner Bros., Max, Travel Channel, Painless Productions, or The Holzer Files, nor are we connected to the cast or crew. We are simply fans who recap and discuss episodes for entertainment and community-building purposes. We are not investigators, mediums, or paranormal professionals, and we do not accept or investigate case submissions.If you are seeking assistance for activity in your home or business, we recommend researching reputable investigators or professionals in your local area. Some people choose to begin by asking for recommendations at local metaphysical shops or spiritual community centers.CreditsHosted by: Amy Lotsberg and Megan SimmonsProduction, Artwork, and Editing: Amy Lotsberg at Collected Sounds Media, LLC. https://www.collectedsounds.com/Theme song. “Ghost Story” and segment music by Melissa WestAffiliates/SponsorsPlease see our Store page for all the links for all our current affiliates. https://www.theactivitycontinues.com/store/Engage!Our website, https://www.theactivitycontinues.com/ Leave us a Voicemail: https://www.theactivitycontinues.com/voicemail/ (might be read on the show)Newsletter sign-up: https://www.theactivitycontinues.com/newsletter  Join us on Patreon: https://www.patreon.com/theactivitycontinues Thank you for listening, take care of yourselves. We'll see you next time!If you want to hear us early and ad-free EVERY week, become a Patron. Join us in the Haunted Lounge and get bonus exclusive episodes! https://www.patreon.com/theactivitycontinuesAdvertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

We sat down and talk with Max "SLAMBERT" Lambert and Dane "THE DIRECTOR" Hart about the 3rd Annual IFORGET AIRSHOW and their upcoming Surf Film.

In this episode of Dialogue: The Diapoint Podcast, Pamela Durant speaks with Dr. Louise Lambert, a positive psychologist and leading happiness researcher. Together they explore why happiness is not a "nice-to-have," but a serious health matter that deserves the same attention as traditional risk factors in healthcare.   Dr. Lambert explains what positive psychology is and how it differs from traditional approaches that focus mainly on illness and disorder. Drawing on international research and her own studies in the UAE, she discusses the links between happiness and physical health outcomes, including pain, depression, and overall vitality, and why reducing symptoms alone is often not enough for people to truly thrive.   The conversation also dives into one of her primary healthcare interventions, where simple, evidence-based happiness practices were introduced. Dr. Lambert shares what changed for patients when wellbeing was actively supported, not just when distress was reduced. This shift could transform how clinics, hospitals, and health systems think about mental health and chronic conditions.   Pamela and Dr. Lambert also unpack the age-old question: can people actually learn to become happier, or is happiness mostly fixed by personality and genetics? Based on the science of wellbeing, Dr. Lambert outlines the habits and behaviors that make the biggest difference. They discuss gratitude, nurturing relationships, and building meaning into daily life.   Whether you live with a health condition, work in healthcare, or simply care about wellbeing, this episode offers practical strategies anyone can start using today to feel and function better. It will help you see happiness as something we can measure, cultivate, and protect one small, intentional practice at a time.   If you'd like to learn more about Dr. Louise Lambert's work, you can follow her on LinkedIn https://www.linkedin.com/in/dr-louise-lambert/ and at www.happinessmatters.org. Sign up for my newsletter at: https://www.happinessmatters.org/newsletters/the-good-life-chronicles   Join the Diapoint mailing list for exclusive insights, offers and diabetes wisdom. You can also find free resources, blogs and articles about health, wellness, and diabetes at www.diapointme.com or visit the Diapoint Shop at www.diapointshop.com for beautiful diabetes and health accessories.   If you're enjoying this podcast, we'd love to hear from you! Your feedback helps us create content that serves you better. So, if you have a moment, please head over to Apple Podcasts— Spotify or wherever you listen to your podcasts—and give us a rating and review. Five-star ratings really help us reach more listeners.   Don't forget to hit the 'Subscribe' button so you never miss an episode. And if any of our episodes or guests resonate with you, share them on social media or forward them to friends and family who would benefit from our community's collective wisdom.   Visit the Diapoint Shop, where we offer beautiful, practical diabetes supplies and lifestyle accessories.   The Ultimate T1D Game Plan: A game-changing home study program for parents of school-aged children with Type 1 Diabetes.   Are you a healthcare provider or coach who wishes to coach your clients or have more meaningful conversations with your diabetes patients? Check out How to Coach People With Diabetes at www.diapointlearning.com   Diabetes resources.   Looking for health support? Set up a FREE Health Plan call today! Book a time to meet with Pam at this link.   You can also watch our podcast episodes and more on our YouTube Channel! @DiapointTV   Connect with Diapoint @diapointme: Instagram | Facebook | Twitter | Pinterest   Connect with Diapoint Arabia in Arabic: Instagram | Facebook | DiapointArabia.com   Find episodes, show notes, and guest info for all Dia-Logue episodes on the Diapoint website.   Would you like to sponsor our podcast? Get in touch: info@diapointme.com   For more information and full details of our work, visit diapointme.com. Subscribe to the podcast so you get notifications for all our episodes, and please share it on social media or with anyone you think could benefit from this free content. Thank you for listening!

The AI Layering System for Unstoppable Success – https://www.marketingsharks.com/the-ai-layering-system-for-unstoppable-success/Special Dimesale Pricing:Great AI Content Isn't Prompted. It's Built.184 Pages. Over 88,000 Words.Under $0.09/Page at Max Price!How to Turn the AI You Already Use Into an Unfair Advantage — With a Plug-and-Play, Build-It-in-Layers Approach That Transforms Rushed, Average Work Into Sharp, Professional Content That Finally Stops Looking Like Everyone Else's!From Tiffany Lambert – This is AI-assisted PLR, which has been overseen by me to ensure everything going into it is viable and correct.The AI Layering System for Unstoppable Success – Dimesale PLR (under $0.09 per page at max pricing)This is a pack called The AI Layering System for Unstoppable Success – Dimesale PLR. This is a bundle of done-for-you reports that hand your readers the one method separating people who get generic, forgettable output from AI and the ones who get professional, profitable work. Instead of teaching another list of prompts, it shows them how the pros actually build – one deliberate layer at a time, so each decision sharpens the next and the finished piece almost sells itself. Every report walks a reader through the same proven system for a different part of their business, with plug-and-play prompts they can use the same day.

Matt and Eric explore the Patrick Wilson-directed INSIDIOUS: THE RED DOOR, which circles back to the Lambert family and the terrible decision they made to repress the memories of Insidious 1 and 2.

Liane Lambert is a spiritual mentor helping people achieve 5D consciousness who authored the book, "Karma to Dharma: A New Age Guide to Becoming Superhuman." Learn more at https://www.lianemarielambert.com Purchase peptides at https://biolongevitylabs.com Promo Code HABER for 15% off

Like the man says, better late than never — here's part two of Chris' amazing conversation with John Lambert! As you heard in the first episode, Lambert has an encyclopedic memory of his time coming over to work on Boss Films' first few titles, including the making of Ghostbusters. And, as you'll hear, after two whole episodes we still didn't cover everything! Which means you should tune in to both parts and tell us your questions or the things you want to hear more about. Because sooner or later, we're going to have to revisit another conversation with Mr. Lambert for a third part of discussion. So much more to hear this week, and so much more to discuss in the future!

In this episode of the Great Plains Archaeology Podcast, Carlton is joined by John M. Lambert and Thomas J. Loebel to discuss their recent article with Dr. David Easterla, “Addressing a Gap in the Late Pleistocene Record of the Midwest: Fluted Points in Northwest Missouri and Southwest Iowa.” The conversation explores why this region has long been underrepresented in Paleoindian research and how the documentation of 235 fluted projectile points, including dozens of previously unreported specimens, helps illuminate the lives of some of North America's earliest inhabitants. Lambert and Loebel discuss the challenges and value of integrating museum collections, private collections, and published records, as well as what Clovis and Folsom projectile points reveal about technology, mobility, and land use across the Midcontinent and Great Plains. The episode highlights how overlooked collections and regional documentation projects continue to reshape our understanding of Paleoindian settlement, movement, and adaptation during the late Pleistocene. Article Citation: Lambert, J. M., Loebel, T. J., & Easterla, D. A. (2025). Addressing a gap in the late Pleistocene record of the Midwest: fluted points in Northwest Missouri and Southwest Iowa. Plains Anthropologist, 70(273), 40–63. Transcript For rough transcripts of this episode go to https://www.archaeologypodcastnetwork.com/great-plains-archaeology/44 Links The Archaeology of the North American Great Plains by Douglas B. Bamforth (2021) Archaeology on the Great Plains Edited by W. Raymond Wood (1998) Carlton's KU Anthropology Faculty Bio Plains Anthropological Society Website Contact Instagram: @‌pawnee_archaeologist Email: greatplainsarchpodcast@gmail.com APN APN Website: https://www.archpodnet.com APN on Facebook: https://www.facebook.com/archpodnet APN on Twitter: https://www.twitter.com/archpodnet APN on Instagram: https://www.instagram.com/archpodnet APN Shop Affiliates Motion Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

"If you like it, listen to it. If you don't, fuck off!"Thus spake the Cardinal. And the congregation lifted up their hands to him and said "Oh wise and beneficent leader, what maketh you of the one who calls himself Rodgers?"And the Cardinal laid down his golden mace and leveled a steely gaze upon the multitude saying "He who hath fronted the Free, shall ne'er satisfy the Queendom. Speak to me not of this false prophet!"Then came a wailing from the faithful, beseeching "But surely your eminence, St Paul of Lambert hath been chosen be the divine!"The Cardinal paused mightily before decreeing "Yeh, he's not bad. Probably better of with him than another old rocker I reckon."And the crowd dispersed, happy in such benediction. And lo, they whispered in hushed tones upon the wisdom of The Cardinal.If Randy were to title this podcast, he'd probably call it “What song did we listen to again?” or possibly “Geez, I don't remember a note!”NOTE: Skip forward to 23:57 if wanna get straight into the manifestations and wheel spin.The music at the end of the episode is the brilliant "Darling of the CBC" from Absofunkinlutely's black album. You can and should go find it out here: https://youtu.be/xP2OhLngxQEIf you want to get involved in the Kofi Klub, head over to our Ko-Fi page (linked below) and let us know which song you want us to add to the wheel! We also have a private channel in our Discord community for donors.Follow & Listenhttps://bio.site/seasidepodreviewCheck out Kev's other podcastsThe Tom Petty Project & The Ultimate Catalogue ClashCheck out Randy's music here Hosted on Acast. See acast.com/privacy for more information.

Lots to do this episode. We catch up on what we've been playing (Mina the Hollower, Plants vs. Zombies, Legacy of Kain). We then catch up on SGF, Steam Machine, and layoff news. Finally we finish up Splinter Cell: Double Agent and discuss GOTYSO.In lieu of ratings and reviews we say … FUCK THE ALGORITHM, TELL A FRIEND!We have a website! Come check it out! https://www.smashinggametime.com/Thank you to Alex Marvin Clark for our opening theme Hunt Him Down. https://soundcloud.com/lizardbeach?ut...

In the second hour, Dave Softy Mahler and Dick Fain chat with Hugh Millen about the U.S. Open last week and fans at Shinnecock rooting against Wyndham Clark plus the Seahawks looking to repeat as champions, then the Seattle Kraken Head Coach Lane Lambert joins the show to discuss the NHL Draft this week and the big trade yesterday.See omnystudio.com/listener for privacy information.

Avgas hit 8.85 a gallon, so the $100 hamburger is now a $300 hamburger, and if you're renting, congratulations, it's a $1,000 hamburger. Brian, Ben, and Ted dig into how midlifers actually keep flying when fuel costs go vertical: pull the power back and trade five knots for four gallons an hour, cast a wide net for a safety pilot to split the cost, chase the cheapest fuel 50 miles out, and rediscover this thing called "morning." The feedback bag is stacked this week. The Tuba Guy writes in from the Boston Symphony, 13 years out of the cockpit and finding his way back. Listener Jason followed in Brian's footsteps to Drift Aviation and got hooked on the J-3 Cub. And Cassie, a brand-new private pilot, relies on the show for her weekly "aviation friend fix," which nearly earns her 30 instant pilot friends in Portland whether she wants them or not.Plus a legendary 1 Dull Geek Rant on the the eternal question of where exactly you're supposed to do your run-up. Brian's new VFR cross-country course is at makesmallcorrections.com.Mentioned on the show:* Catherine Cavagnaro: https://aceaerobaticschool.com/* Justin Tidwell, Flywell Aviation: https://www.flywellaviation.com/aboutus* AC Super Decathlon: https://en.wikipedia.org/wiki/American_Champion_Decathlon* Coronary artery disease: https://en.wikipedia.org/wiki/Coronary_artery_diseaseiep141* Getting a medical with coronary artery disease: https://www.faa.gov/ame_guide/media/Coronary_Heart_Disease_Disposition_Table.pdf* Episode 141 - Every pilot is creative somehow: https://podcasts.apple.com/us/podcast/ep141-every-pilot-is-creative-somehow-tim-lien-from/id1591463789?i=1000721686629* Bill Burr- helicopter bit: https://www.youtube.com/watch?v=S9ZSzuj1UpA* The Ultimate Guide to Becoming a Midlife Pilot- second edition! https://midlifepilotpodcast.com/#guide* Lambert's throwed rolls: https://throwedrolls.com/* RYY airport diagram: https://www.aopa.org/ustprocs/20260611/SE-4/ryy_airport_diagram.pdf* Brian's "the long way" ground course: https://makesmallcorrections.com/Support the show! www.midlifepilotpodcast.com

So many possibilities for the lede today. Doug says Lambert airport is a slap in the face. I guess Brady Tkachuk didn't wanna come home. Wives are encouraging their husbands to look for sugar mamas. Martin didn't wanna ask the tough questions in front of sick kids. Security needed on Friday by the fountain. Martin got to meet Rizz on Friday. Doug couldn't watch the World Cup in Pennsylvania. Boomer technology alert.Nolan Arenado and the Diamondbacks heading to town. What kind of ovation is Arenado gonna get? Two HRs for Wetherholt yesterday in KC. Is he an All-Star? Favorite to win the NL ROY. Oli Marmol talking about the Cardinal offense. Turkey vs. USA dead rubber. Builder's Grade Bob Costas.Rich Gould got in the AI music game. Doug can't get Fox on TV but somehow can use AI to alter old pictures. The Shinnecock crowd was getting after Wyndham Clark at the U.S. Open. You sir, are a fat ass. Audio of Wyndham Clark talking about the heckling.Joined by voice of the Blues, Chris Kerber. Talking about Brady Tkachuk heading to Florida to play with Matthew. Apparently STL wasn't one of the teams he would choose to go to. Is Brady a Top 10 player in the NHL? Likelihood of the Blues trading up in the draft. Is there an urgency to improve and improve fast?Who was the last Cardinal to not get a standing ovation when they came back? Tino Martinez. How are we forgetting about Ty Wigginton? Producer Joe and Larry Bigbie. The return of John King.Mighty Mighty Bosstones. Brynn Smith. Jackson doesn't control the commercials. Former USMNT goalie Tim Howard gives his thoughts on the potential of the Team USA winning the World Cup. Taylor Twellman discusses how the United States should feel after consecutive wins. Breaking news as Michigan mens basketball coach Dusty May is set to become the Dallas Mavericks head coach.Those were the wrong navy caps yesterday. Cards need is gonna be pitching down the stretch. Liberatore's struggles.Table Rock Lake. Tyler Childers. Jet Skis.Design Aire Heating & Cooling EMOTDHey, James Carlton. Doug's cute top. Google Health telling you your day is going to suck. First date tells. Married men vs. single men at bars. Singing at concerts.ESPN's list of candidates who could potentially replace Dusty May at Michigan. Schertz is the first non-internal candidate listed. Papers is having a horrible show. Doug wants him to resign.And the winner of the Design Aire Heating & Cooling EMOTD is...See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

(00:00-29:08) So many possibilities for the lede today. Doug says Lambert airport is a slap in the face. I guess Brady Tkachuk didn't wanna come home. Wives are encouraging their husbands to look for sugar mamas. Martin didn't wanna ask the tough questions in front of sick kids. Security needed on Friday by the fountain. Martin got to meet Rizz on Friday. Doug couldn't watch the World Cup in Pennsylvania. Boomer technology alert.(29:16-49:05) Nolan Arenado and the Diamondbacks heading to town. What kind of ovation is Arenado gonna get? Two HRs for Wetherholt yesterday in KC. Is he an All-Star? Favorite to win the NL ROY. Oli Marmol talking about the Cardinal offense. Turkey vs. USA dead rubber. Builder's Grade Bob Costas.(49:15-1:08:26) Rich Gould got in the AI music game. Doug can't get Fox on TV but somehow can use AI to alter old pictures. The Shinnecock crowd was getting after Wyndham Clark at the U.S. Open. You sir, are a fat ass. Audio of Wyndham Clark talking about the heckling.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

#959 Ever wondered how a high school side hustle could turn into a six-figure business acquisition? In this episode, host Kirsten Tyrrel talks with Joseph Lambert, founder of a junk removal company he started at just 17 that grew fast enough to sell to a private equity firm. Joseph shares how he scaled from mowing lawns to managing a 30-person team, what it was like selling the business while still in his early twenties, and the lessons he's learned about leadership, pricing, and purpose along the way. His story proves that grit, integrity, and simple execution can lead to extraordinary success — even in the unglamorous world of trash! (Original Air Date - 10/23/25) What we discuss with Joseph: + Starting a junk removal company at 17 + Turning early jobs into an entrepreneurial mindset + Building a team and scaling operations + Selling to a private equity group + Leading with integrity and mentorship + Hiring strategies that attract great talent + Marketing that actually works in local service businesses + The balance between data and instinct in decision-making + Lessons learned from running — and selling — a business before 25 Thank you, Joseph! Check out Joseph's Junk Removal at ⁠JosephsJunkRemoval.com⁠. Follow Joseph on ⁠LinkedIn⁠. Watch the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠video podcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ of this episode! To get access to our FREE Business Training course go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠MillionaireUniversity.com/training⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. To get exclusive offers mentioned in this episode and to support the show, visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠millionaireuniversity.com/sponsors⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Learn more about your ad choices. Visit megaphone.fm/adchoices

Lane Lambert, Seattle Kraken Head Coach, joins Dave Softy Mahler and Dick Fain to talk about the team’s trade to acquire forward Mackie Samoskevich in a trade with the Panthers, the team re-signing forward Bobby McCann to a new six-year deal after the trade with Toronto, what they need next, plus the NHL Draft coming up later this week.See omnystudio.com/listener for privacy information.

Send us Fan MailA From the Vault episode this week before I do an episode next week on baby formula. Are you concerned about your breastmilk production or have you heard that exercise can negatively impact on it?This week I have the please to sit down with expert Ashley P. Lambert to dispel myths and offer practical advice for new moms facing these challenges. Our conversation cuts through the misinformation surrounding exercise's impact on breast milk production and underlines the fundamental role of nutrition, particularly protein, in supporting lactation. We tackle the anxieties that can cloud this joyful time, offering insights into the necessity of intentional eating for both mother and child's well-being.And, of course, we touch on the rights and wrongs of postpartum exercise.Ashley is a joy to talk, and listen to, so I'm sure you're going to love this episode.You can find Ashley everywhere you have an internet connection;Her website (where you can also find her program)Her Instagram (where you definitely should go to follow her)As always; HPNB still only has 5 billing cycles.So this means that you not only get 3 months FREE access, no obligation! BUT, if you decide you want to do the rest of the program, after only 5 months of paying $10/£8 a month you now get FREE LIFE TIME ACCESS! That's $50 max spend, in case you were wondering.Though I'm not terribly active on  Instagram and Facebook you can follow us there. I am however active on Threads so find me there! And, of course, you can always find us on our YouTube channel if you like your podcast in video form :) Visit healthypostnatalbody.com and get 3 months completely FREE access. No sales, no commitment, no BS. Email peter@healthypostnatalbody.com if you have any questions, comments or want to suggest a guest/topic Playing us out this week; "I fell into heaven" by Oliver Penny

Kennst du das Gefühl, völlig erschöpft zu sein – und trotzdem nicht abschalten zu können? Der Körper ist müde, aber der Kopf macht Überstunden. Gedanken kreisen, der Schlaf kommt nicht und selbst kleine Dinge bringen uns aus dem Gleichgewicht. In dieser Folge sprechen Leon und Atze über Hyperarousal – einen Zustand innerer Alarmbereitschaft, den viele Menschen kennen. Warum springt unser innerer Rauchmelder manchmal schon bei Wasserdampf an? Weshalb bleiben manche Menschen ständig wachsam, gereizt oder angespannt? Und natürlich stellt sich die wichtigste Frage: Wie schaffen wir es, den Alarm wieder leiser zu drehen? Eine Folge über innere Unruhe, den Sinn unserer Alarmsysteme und die Kunst, wieder zur Ruhe zu finden. Fühlt euch gut betreut Leon & Atze Instagram: https://www.instagram.com/leonwindscheid/ https://www.instagram.com/atzeschroeder_offiziell/ Mehr zu unseren Werbepartnern findet ihr hier: https://linktr.ee/betreutesfuehlen Tickets: Atze: https://www.atzeschroeder.de/#termine Leon: https://leonwindscheid.de/tour/ Quellen: Bresser, T., Siemon, R., Rösler, L., Blanken, T. F., Sophie, & van Someren, E. J. W. (2026). Hyperarousal transdiagnostically dissected: Different dimensions characterize mood, anxiety, insomnia, posttraumatic stress and attention deficit hyperactivity disorders. eClinicalMedicine, 0(0), Article 103810. https://doi.org/10.1016/j.eclinm.2026.103810 Kendall, B. Tired yet wired. Beth Kendall. https://www.bethkendall.com/blog/tired-yet-wired Kühnel-Pfetzing, A. (2025). Stress und Hyperarousal. In H. Peter, T. Penzel, J. H. Peter, & J. G. Peter (Eds.), Enzyklopädie der Schlafmedizin. Springer. https://doi.org/10.1007/978-3-662-65186-5_212 Mastroianni, A. So you wanna de-bog yourself. Experimental History. https://www.experimental-history.com/p/so-you-wanna-de-bog-yourself McLaughlin, K. A., & Lambert, H. K. (2017). Child trauma exposure and psychopathology: Mechanisms of risk and resilience. Current Opinion in Psychology, 14, 29–34. https://doi.org/10.1016/j.copsyc.2016.10.004 Nesse, R. M. (2005). Natural selection and the regulation of defenses: A signal detection analysis of the smoke detector principle. Evolution and Human Behavior, 26(1), 88–105. https://doi.org/10.1016/j.evolhumbehav.2004.08.002 Psychology Today. (2026, January). How to stop worrying about things you can't control. https://www.psychologytoday.com/us/blog/hack-your-anxiety/202601/how-to-stop-worrying-about-things-you-cant-control Reddit. (2025). What does hypervigilance feel like to you? r/CPTSD. https://www.reddit.com/r/CPTSD/comments/1mqzkrc/what_does_hypervigilance_feel_like_to_you/ Riemann, D., Spiegelhalder, K., Feige, B., Voderholzer, U., Berger, M., Perlis, M., & Nissen, C. (2010). The hyperarousal model of insomnia: A review of the concept and its evidence. Sleep Medicine Reviews, 14(1), 19–31. https://doi.org/10.1016/j.smrv.2009.04.002 Reaktion: Julia Ditzer Produktion: Murmel Productions

What if the greatest battle you face isn't around you—but within you? In “Enemy of the State,” Minister Emanuel Lambert, Jr. delivers a passionate message about the spiritual warfare believers face and the enemy's relentless attempt to distort our identity, confidence, and standing before God. Drawing from 2 Corinthians 5:17–21, Romans 8:1–2, and Zechariah 3:1–5, Minister Lambert explains how Satan works to keep Christians trapped in guilt, shame, condemnation, and insecurity. Through a powerful presentation of the gospel, he reminds believers that their acceptance before God is not based on personal performance, but on the finished work of Jesus Christ. Because of Christ, we have been transferred from darkness to light, clothed in His righteousness, and established as sons and daughters of God. This encouraging and liberating message calls listeners to reject the lies of the enemy, embrace their true identity in Christ, and walk boldly in the freedom, forgiveness, and favor that God has already provided through His Son.

AfriForum is optimisties oor die landbousektor ná die DA se voorgestelde kabinetskommeling in die regering van nasionale eenheid, wat Willie Aucamp as die voorgestelde nuwe minister van Landbou insluit. Die organisasie glo die moontlike verandering is 'n positiewe stap om die bek-en-klouseer-krisis, wat swak bestuur is, aan te pak. Lambert de Klerk van AfriForum sê indien Aucamp aangestel word, sal hy die geleentheid kry om vorige tekortkominge reg te stel en siektebeheer te verbeter:

What if the patterns that keep you stuck aren't punishment — they're an invitation?Liane Marie Lambert was 27 years old, living in London, when she looked the wrong way crossing the street and was struck by a double-decker bus. She walked out of the hospital three days later — and began a journey that would take her from lost and broken to ascension coach, energy alchemist, and bestselling author.In this episode, Liane unpacks two of the most misunderstood concepts in spiritual life: karma and dharma. She explains why karma isn't a cosmic penalty system, what the Law of Karmic Entanglement means for the patterns you can't seem to escape, and how the shift from 3D to 5D consciousness is less about thinking positive thoughts and more about doing the real inner work.This is a conversation about breaking cycles, reclaiming your power, and discovering that you were never as stuck as you thought.In this episode, we explore:Liane's near-death experience and the dark night of the soul that followedWhat karma and dharma actually mean — and how they differThe Law of Karmic Entanglement and why some people never seem to face consequencesWhy you're already a master manifestor (and what's blocking you)The difference between 3D, 4D, and 5D consciousnessTower moments, soul contracts, and how the universe pushes us to evolvePractical steps to clear karma and raise your vibrationAbout Liane Marie Lambert: Liane is an ascension coach, energy alchemist, karma/dharma activator, and bestselling author of Karma to Dharma: A New Age Guide to Becoming Superhuman — now available as an audiobook narrated by Liane herself. She works with individuals one-on-one and through her 9-week transformation course to help people move from karmic cycles into dharmic living.

Matt and Eric check back in with the Lambert family, sifting through 2013's INSIDIOUS: CHAPTER 2, in which the entire gang's back to pick up right where things left off in the first movie, with Bad Josh terrorizing his family and Good Josh trapped in the ghost realm.

Ahoy, adventurers! Welcome to the Realms & Nerds podcast! Join our five crewmates- Bartholomew Blackwell, Blood Evening, Tohatu, Ember Horizon, and Tevon "The Butcher"- as they continue their journey in Seafarers & Scallywags! Like this episode? Share with friends, and subscribe for more! Don't forget to use the tag #RealmsNerds when posting online about the show! Interested in advertising your product or service on the podcast? Share the show! Support on Patreon! Follow us on Social Media: Twitter Instagram Facebook TikTok Join our Discord! Bartholomew's curse shows him new power. Blood tries to earn some money. Tohatu takes a dive overboard. Ember talks with Crimson the Younger. Tevon cooks dinner. Cast: Ash - Ember Horizon Bee - Blood Evening Cosmic Cave Bronson - Dungeon Master, Benedict, Hugh, Lambert, Crimson the Younger, Captain Littlebeard, Dredge, Arabella Harrison - Tevon "The Butcher" Aldus Ray - Tohatu Kaiwhai Taniwha RJ - Bartholomew Blackwell Seafarers & Scallywags is an original campaign created by Bronson Proseus Episode edited by RJ Moore Original Realms & Nerds music by RJ Moore Main theme melody by Kyle Rice Closing theme melody by Bee Owens Original sound effects created by RJ Moore Additional sound effect used courtesy of Pixabay Collection (https://www.pixabay.com) "Cannon Fire" by LordSonny Additional sound effects used courtesy of FreeSound (https://www.freesound.org) "LargeWoodenShip" by PimFeijen "woman softly breathing in pain", "woman heavily breathing in pain" by Barboo "Infant crying gently" by Alex_hears_things

AfriForum is ontstel nadat 'n uitgelekde epos wys hoe 'n senioramptenaar in die Departement van Landbou boere spot wat tydens die bek-en-klouseer-uitbreking om hulp vra. Die burgerregte-organisasie sê die regering was te stadig om op te tree en hou te veel beheer oor entstowwe. Lambert de Klerk van AfriForum wil hê boere, privaat veeartse en landbougroepe moet toegelaat word om met die inentingsprogram te help:

Double double your behavior. Double double your analysis. Oh no single podcast, ABA Inside Track freshens your brain like... Double research, double discussion, Come on and double listen. ABA Inside Track, ABA inside Track...episode.   This episode is available for 1.0 DUAL-DIAGNOSIS/LEARNING CEU. Articles discussed this episode: Nussbaum, N.L. (2012). ADHD and female specific concerns: A review of the literature and clinical implications. Journal of Attention Disorders, 16, 87-100. doi: 10.1177/1087054711416909 Kurtz, P. F., Chin, M. D., Robinson, A. N., O'Connor, J. T., & Hagopian, L. P. (2015). Functional analysis and treatment of problem behavior exhibited by children with fragile X syndrome. Research in Developmental Disabilities, 43, 150-166. doi: 10/1016/j.ridd.2015.06.010 Lambert, J. M., Parikh, N., Stankiewicz, K. C., Houchins‐Juarez, N. J., Morales, V. A., Sweeney, E. M., & Milam, M. E. (2019). Decreasing food stealing of a child with prader-willi syndrome through function based differential reinforcement. Journal of Autism and Developmental Disorders, 49, 721-728. doi: 10.1007/s10803-018-3747-y If you're interested in ordering CEs for listening to this episode, click here to go to the store page. You'll need to enter your name, BCBA #, the two episode secret code words, and answers to the knowledge check questions to complete the purchase. Email us at abainsidetrack@gmail.com for further assistance.

In this powerful and transformative episode of I Am Refocused Radio, host Shemaiah Reed welcomes Liane Marie Lambert — Ascension Coach, Energy Alchemist, Spiritual Mentor, and best-selling author of Karma to Dharma: A New Age Guide to Becoming Superhuman. Liane opens up about her deeply personal journey after being diagnosed with MS in her early 40s. What began as a dark season of feeling stuck in limiting patterns, repeating cycles, and losing hope became the catalyst for profound inner work. Through the process of clearing karma, she broke free from what she calls “karmic entanglement,” shifted her reality, and stepped into a life of greater freedom, vitality, and alignment with her soul's purpose — what she now calls living as “Walking-Karma.” In this conversation, Liane shares how clearing unresolved karma and multigenerational patterns can release us from cycles of limitation, raise our vibration, and allow us to step fully into our dharma — our highest path and contribution. She offers a refreshing perspective on taking radical responsibility for our energy, thoughts, and beliefs as the pathway to true transformation and living in greater alignment with who we're meant to be. Whether you're navigating health challenges, feeling stuck in repeating patterns, or seeking deeper meaning and freedom in your life, this episode will invite you to reflect on what may be holding you back and inspire you to take courageous steps toward healing and expansion. Key themes include:Turning a health crisis into a spiritual awakeningThe power of clearing karma to break free from limiting cyclesStepping into your dharma and highest potentialRaising your vibration and reclaiming personal powerMoving from victimhood to conscious co-creationIf you've ever felt weighed down by old patterns or wondered how to truly break free and live with more purpose and lightness, this conversation will give you both hope and practical spiritual insight. Connect with Liane Marie Lambert and explore her work at lianemarielambert.com. Grab her best-selling book Karma to Dharma to begin your own journey.Become a supporter of this podcast: https://www.spreaker.com/podcast/i-am-refocused-radio--2671113/support.Subscribe now at YouTube.com/@RefocusedNetworkThank you for your time. 

durée : 00:17:22 - Le 6/9 de l'été - par : Sonia Devillers - L'acteur, comédien et chanteur présente son spectacle "Lambert Wilson chante les classiques du cinéma" à la salle Gaveau le 13 juin. L'occasion de revenir sur sa passion pour la comédie musicale, son rapport à la voix et à l'héritage de son père, le grand Georges Wilson. - équipe : Maria Pasquet, Christophe Imbert, Alexandre Gilardi, Perrine Malinge, Mathilde Khlat, Amélie Stadelmann, Joachim Taieb, Capucine Aubert, Alexandra Brouillet, Cléa Journault - invités : Lambert Wilson Vous aimez ce podcast ? Pour écouter tous les épisodes sans limite, rendez-vous sur Radio France

Papers' hair is throwing free and easy and he's heading down to Busch to celebrate. Sweet Sweet Bill. New TMA hats. Joe Buck will joins us at 8:00. Doug wants the lede to be the Stanley Cup, not McGreevy's round yesterday. Audio of Torts's post game presser.Happy birthday Kenny G and RIP Peabo Bryson. Tim doesn't like sports radio beds. Anticipating the Spurs to strike back tonight. Sweating the Cubs/A's over. The return of The Noot. Audio of Lars Nootbar talking about coming back and being a fan of the Tarps Off phenomenon. We're in the process business around here. Audio of Albert Pujols talking about the 2026 Cardinals team and the energy the team brings. No one is talking about the Battlehawks playoff run. Paul is on the line and wants to talk Lars Nootbar. Building on the moon. Friend of the show, Joe Buck joins the show. Joe's not much of a podcast guy. Joe's thoughts on the 2026 Cardinals up to this point. Joe doesn't think this team is a move or two away from being a serious contender. Little Elvis. Player and media relations now compared to the past. Joe hasn't written his Cooperstown speech just yet. Good on-the-fly self-edit there by Joe. New tradition having Hall of Fame broadcasters on on Fridays. The celebrity is going to Jackson's head. Gotta run the kids to camp.Fallout Boy and The Simpsons. Jackson won't be watching the NBA Finals Game 2 because he'll be at the Cardinal game. People want to see Doug in nothing but his new TMA hat. Hurricanes get the win in OT and tie up the Stanley Cup at 1-1. Audio of Sean McDonough's call of the Hurricanes Game 2 winning goal. Lena The Plug and Adam 22's alleged divorce. Lena says they're not getting divorced and someone submitted the paperwork without her knowledge. Is Doug going on Plug Talk? Bryce Chandler Hill.Santan Dave. Drops of the Week. And that's the show, huh?Happy 57th Birthday, Brian McKnight. Did we ever get McGreevy's score? McGreevy with an 83 and May with an 87. Sharon doesn't get a voice in creative decision making. The Collinsville Catsup Bottle wants to know why Iggy is famous. Audio of Nevin Shapiro talking about Mario Cristobal flipping an LSU recruit to Miami. Martin is limping into break guy. Irish goodbyes are quite pleasurable.Jackson's a poor workman. Papers' putting issues. Cousin Nick firing shots. Doug's Quarter Zip is on the phone lines. DQZ won't be at the game this evening and would like Jackson to lead the chant for him. Let's hear that chant again. 0% approval rating in the text inbox. Audio of Jackson fans heckling McGreevy about Papers beating him in golf. Being a Busch Stadium usher is like the G league for berating people at Lambert.Jordan Walker has fallen a little off the 80 homerun pace. Doug wants to maybe move him up in the order. Design Aire Heating & Cooling EMOTD.Is this more Kenny G? Jackie Papers will be out next Friday. Wedding SZN in full effect for people in Jackson's age range. Domestic partnerships. Double majoring in psychology and journalism. Bradley Cooper. The poor female intern that Pronger took it easy on.Navy Caps on the Road will be the 2026 Cardinals version of Gloria. McGreevy's scared to wear the NCOTR shirt. Weird off-day Saturday coming up soon for the Redbirds. Celebrity World Cup appearances for Jackson. Waterloo is the public golf course capital of the midwest. Doug says no number 2s at the golf course. Nothing but urinals.Is it possible in 2026 to lead a double life?And the winner of the Design Aire Heating & Cooling EMOTD is...See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

(00:00-17:48) Jackson's a poor workman. Papers' putting issues. Cousin Nick firing shots. Doug's Quarter Zip is on the phone lines. DQZ won't be at the game this evening and would like Jackson to lead the chant for him. Let's hear that chant again. 0% approval rating in the text inbox. Audio of Jackson fans heckling McGreevy about Papers beating him in golf. Being a Busch Stadium usher is like the G league for berating people at Lambert.(17:56-32:33) Jordan Walker has fallen a little off the 80 homerun pace. Doug wants to maybe move him up in the order. Design Aire Heating & Cooling EMOTD.(32:43-49:19) Is this more Kenny G? Jackie Papers will be out next Friday. Wedding SZN in full effect for people in Jackson's age range. Domestic partnerships. Double majoring in psychology and journalism. Bradley Cooper. The poor female intern that Pronger took it easy on.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

As the summer weather turns its bright face towards New England, we find ourselves wrapping up another year of book club...just in time to start planning for NEXT YEAR'S BOOK CLUB!! Get your phone loaded with all the podcasts you need for the beach with this month's new episodes. First, we open up a themed grab bag with articles all related to participants with dual-diagnoses. Then we dig into the details of concept formation with Dr. Catherine Williams to find out exactly how you should really be teaching new things. Last, get prepared for your annual medical check-up with an episode all about medical toleration procedures. And as if that wasn't enough, Patrons gain access to our Summer Book Club pick, "Adventures in Special Education and Applied Behavior Analysis" featuring an interview with Dr. MerrilI Winston in addition to our regular book club shenanigans. If you work in the school setting (or are getting ready to work in the school setting) you do not want to miss out. Interested in selecting all of next year's Book Club selections? Then be sure to fill out our new poll to let us know what we should be packing in our summer go-bags for next year's episodes. Articles for June 2026 (DUAL DIAGNOSIS) A Very Dual-Diagnosis Grab Bag (Summer 2026 Grab Bag) Nussbaum, N.L. (2012). ADHD and female specific concerns: A review of the literature and clinical implications. Journal of Attention Disorders, 16, 87-100. doi: 10.1177/1087054711416909 Kurtz, P. F., Chin, M. D., Robinson, A. N., O'Connor, J. T., & Hagopian, L. P. (2015). Functional analysis and treatment of problem behavior exhibited by children with fragile X syndrome. Research in Developmental Disabilities, 43, 150-166. doi: 10/1016/j.ridd.2015.06.010 Lambert, J. M., Parikh, N., Stankiewicz, K. C., Houchins‐Juarez, N. J., Morales, V. A., Sweeney, E. M., & Milam, M. E. (2019). Decreasing food stealing of a child with prader-willi syndrome through function based differential reinforcement. Journal of Autism and Developmental Disorders, 49, 721-728. doi: 10.1007/s10803-018-3747-y Conceptual Learning w/ Dr. Catherine Williams Williams, C.L., St. Peter, C.C., Perone, M., Aguilar, M., Cederberg, B.A., Gregersen, D.J., & Richardson, E.J. (2025). Using must-have and can-have features to improve conceptual learning. Journal of the Experimental Analysis of Behavior, 124, e70037. doi: 10.1002/jeab.70037 Williams, C.L. & Roop, J.C. (2025). Instruction consisting of a rule and set of examples and nonexamples reliably teaches concepts. Journal of the Experimental Analysis of Behavior, 124, e70061. doi: 10.1002/jeab.70061 Medical Toleration Cuvo, A., Raegan, A., L., Ackerlund, J., Huckfledt, R., & Kelly, C. (2010). Training children with autism spectrum disorders to be compliant with a physical exam. Research in Autism Spectrum Disoders, 4, 168-185. doi: 10.1016/j.rasd.2009.09.001 Dowdy, A., Tincani, M., Nipe, T., & Weiss. M. J. (2018). Effects of reinforcement without extinction on increasing compliance with nail cutting: A systematic replication. Journal of Applied Behavior Analysis, 51, 924-930. doi: 10.1002/jaba.484 Slifer, K. J., Avis, K. T., & Frutchey, R. A. (2008). Behavioral intervention to increase compliance with electroencephalographic procedures in children with developmental disabilities. Epilepsy Behavior, 13, 189-195. doi: 10.1016/j.yebeh.2008.01.013 Adventures in Special Education and Applied Behavior Analysis Book Club (feat. Dr. Merril Winston) Winston, M. (2016). Adventures in special education and applied behavior analysis. Sloan Publishing.

Yes, it's happening. Your St. Louis airport is getting major upgrades, and it will be consolidated into ONE terminal instead of TWO. This is a win for the region, says Wiggins. Another win for the region? Local BBQ. Find out more.

In episode 2064, Jack and Miles are joined by writer, podcaster, and creator of JennaWorld, Molly Lambert, to discuss… Anti-Christian, Anti-Capitalist Now ANTI-AI Is Added To The List of Extremist Threats…, The Pope Wants To “Disarm” AI, Defending A Genocide Is Bad For Your Health And Aura, The Mandalorian = Space Blackwater? And more! Pope Leo says AI must be 'disarmed' in first major teaching Pope Leo warns that AI challenges must be confronted with regulation, transparency in his 1st encyclical Pope Leo warns about AI and calls for regulation as he quotes from The Lord Of The Rings Anthropic aligns with Vatican over White House as Pope Leo addresses AI fears Defending A Genocide Is Bad For Your Health And Aura The Mandalorian and Grogu has lowest box office opening for a Star Wars film in Disney era Mandalorian and Grogu makes unfortunate Star Wars box office history while Michael moonwalks towards $800 million Conservatives Are Trying to Boycott a ‘Star Wars’ Movie Mark Hamill Is Not In I saw the first 15 minutes of The Mandalorian and Grogu ‘The Mandalorian and Grogu’ Is a ‘Star Wars’ Stopgap Iraq War: 'Most Wanted' playing cards The Mandalorian Just Proved the New Republic Isn’t Much Better Than the Empire ‘The Mandalorian and Grogu’ Review: This Supersized Episode Is ‘Star Wars’ at Its Most Generic Grow up, America. Not everything is rebels versus the Empire. Star Wars Was A Vietnam War Allegory Lucas on Iraq war, 'Star Wars' George Lucas' third Star Wars trilogy would have made Darth Maul the big bad along with a 'new Darth Vader' Mando escape from New Republic patrol - The Book of Boba Fett (2021) LISTEN: Spirals by Juice CuiceSee omnystudio.com/listener for privacy information.

What if the contrast dye injected during your MRI scan never actually left your body and has been quietly causing damage ever since? In this episode of Integrative Cancer Solutions, Dr. K sits down with Debbie Heist Lambert, patient advocate, co-author of Gadolinium Deposition and Toxicity: Humanizing a Life-Changing Event, and community leader of a 15,000-member gadolinium toxicity support group. After receiving four gadolinium-based contrast injections during MRI scans for pancreatitis, Debbie was forced into early retirement at 56 due to debilitating memory loss, dementia-like symptoms, and a body-wide cascade of new diagnoses — all traced back to a toxic rare earth metal that her doctors refused to discuss. This conversation is a wake-up call for anyone who has ever had an MRI with contrast — especially cancer patients and those with MS who undergo repeated imaging. Dr. K and Debbie break down what gadolinium actually does inside the body, why it competes with calcium at the cellular level, how it may be connected to calcifications in breast tissue, the difference between chelation strategies, and why 91% of patients in Debbie's group say they were never given informed consent before injection. Key Takeaways: 0:00 Introduction 1:40 Debbie's personal journey with gadolinium poisoning 6:48 Why "you just pee it out" is false 8:54 Small fiber neuropathy, mast cell activation, and cytokine storms 12:35 Cancer and MS patients unknowingly worsening their condition 16:44 Gadolinium competes with calcium and hides in the body permanently 19:49 How to test for gadolinium retention 24:07 Why gadolinium deposition disease still isn't officially recognized 27:23 Chelation, HOPO trials, and niacin sauna detox options 34:19 The full symptom burden across eight years 38:49 91% of patients never received informed consent Schedule a Free 15-Min Cancer/Lyme Consultation at The Karlfeldt Center: 208-338-8902 Resources: Gadolinium Deposition and Toxicity: Humanizing a Life-Changing Event - https://a.co/d/02oEJsME Dr. Brent Wagner Gadolinium Research - https://hscnews.unm.edu/news/unm-scientists-discover-how-nanoparticles-of-toxic-metal-used-in-mri-scans-infiltrate-human-tissue Dr. Richard Semelka - https://www.richardsemelka.com FDA Gadolinium Medication Guides - https://www.accessdata.fda.gov/drugsatfda_docs/label/2018/021489s006lbl.pdf HOPO Therapeutics - https://www.hopotx.com/ Medical Disclaimer: This content is for educational purposes only and is not intended to diagnose, treat, cure, or replace professional medical advice. Always consult your physician or qualified healthcare provider regarding any medical condition or treatment decisions. ____________________________________RESOURCES FROM DR. KARLFELDT:

Look at the fade on Papers. Leavin' notes for Marshy. What's going on over there by Niagra Falls? Let's just get to Lambert. An Eric LIndross take in the text inbox. Martin likes an open ear. Listen to this email I got last night. The Claude Report. Why do we want or care about the data? Ass kissing try hard. Doug's winning the horniest contest. Guy trying to jump from the second level at Busch? Twitter accounts for sale. Anger meter for the YouTube chat.Audio of Oli Marmol on Andre Pallante's start yesterday in the 6-2 loss. Cubs walk off again. Save A Horse, Ride A Cowboy PTSD. A Family Law booth in the concourse. How can you tell if there's extracurriculars going on? Proclivity for married women. A field mic hates to see Masyn Winn coming. Doug wanted to quit after getting hit with a 96 MPH fastball. If they look happy, they're cheating. Stop it guy, and shave.Fawning over Jackson's new fade. Perimenopause talk. Friends and Neighbors Season 2. Audio of former Blue Tyson Nash and Eddie Olczyk lobbying for Keith Tkachuk to be in the Hockey Hall of Fame and explains how he got the name “Big Walt." Big Walt's resume. Doug's birthday is coming up. What's the oldest cumulative age of a threesome? Terminator 2. Class and zip code warfare breaking out.Rainy weekend? Extended forecast looks good for The Dotem Week. Blaze Jordan another homerun. Did Iggy watch Heated Rivalry? Iggy wanted to find a way to freeze the weather. Old People's Facebook Updates. Tim's eight year old is on a mission to win The Dotem. -29 might get it done. Doug likes the golf ball bazooka. Mr. Beast.People LOVE when you talk about your fantasy team. Fernando Tatis Jr. still without a homerun this year. TALK WIVES YOU COWARDS!! Myrtle Beach vs. Hilton HeadA big Prince Thursday here on TMA. Alec Burleson on MLB Central talking about the team's recent performance and the early success of the young ball club. The Crestwood Coyote is on the line and has some questions for the dais. Is Jackson working on a neck beard? Curious about his GnR tickets. Audio of Jon Rahm when asked if he could get out of his LIV contract early or if he has to wait until it expires. Bryson wants to expand his YouTube. Sweating like a bullet. Jackson's stretching and that means we need to take a break.Doug had to go move his car so cement didn't fall on it.Doug is back and his vehicle seems just fine. Time for the Design Aire Heating & Cooling EMOTD.Maybe we should extend this show until 1 or 2.Joined by Cardinal broadcaster, Brad Thompson, who didn't make the trip to San Diego and is still in good ol' St. Louis. He'll meet the team in Sacramento. Who's the best golfer among the broadcast team. Brad's index says he's a man of the people. The factors that go into the fans being more into this team this year. Ugly loss yesterday on getaway day but optimistic on the body of work this year. When will the Cardinals dip into Memphis? Weird injuries. The Rick Ankiel journey. Brad's days as a third baseman. Youth baseball.Time for Market Moves. Tottenham HotSpur finna be relegated? A potential billion dollar loss? The Big Six. Bring relegation to the US.And the winner of the Design Aire Heating & Cooling EMOTD is...See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

On this episode, Heather welcomes Suzanne Lambert to the podcast to chat about all things growing up in Georgia, the drama of politics and spray tans. The commiserate about sorority life, hotties in the senate, and Connecticut Karen's. Episode Sponsors:Head to https://www.squarespace.com/absolutely to save 10% off your first purchase of a website or domain using code absolutely.For a limited time, Nutrafol is offering our listeners $10 off your first month's subscription and free shipping when you visit Nutrafol.com and enter promo code ABSOLUTELYNOT.You don't have to be on this journey alone. Find support and have someone with you in therapy. Sign up and get 10% off at BetterHelp.com/absolutely. Wake up with clearer skin, smoother hair, and cooler sleep. Use code ABSOLUTELY for an extra 30% off at blissy.com/ABSOLUTELY.Head to Knix.com and you'll see why I love Knix. Don't forget to use code ABSOLUTELY for 15 percent off your order – get leakproof undies, amazing bras, and more! You're going to thank me!Right now, Merit Beauty is offering our listeners their Signature Makeup Bag with your first order at meritbeauty.com. Please note that this episode may contain paid endorsements and advertisements for products and services. Individuals on the show may have a direct or indirect financial interest in products or services referred to in this episode.Produced by Dear Media.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

The mask is slipping as globalist rhetoric from the World Economic Forum meets the cold, hard reality of American decline. When Yuval Noah Harari suggests the "vast majority" of the population is no longer needed, he's not just theorizing he's describing a blueprint currently in motion. This episode strips away the "conspiracy" label to reveal a calculated effort to hollow out the American middle class. We examine how a convergence of radical social engineering, declining national fertility rates, and a manufactured border crisis are working in tandem to replace critical thinkers with a dependent class, all while the nuclear family remains under a sustained, multi-front assault.We aren't just losing our culture, we are losing our future in the most literal sense. New data reveals that U.S. fertility rates have plummeted to record lows, yet 2023 saw nearly 10% of all births in the United States coming from illegal immigrant mothers—roughly 320,000 in a single year. While American citizens faced job losses and mandates, a parallel system was established for millions of unchecked, unvaccinated newcomers. With illegal alien households utilizing welfare at a staggering 59% rate compared to 39% for U.S.-born households, the economic toll is no longer a matter of debate, it is a mathematical certainty of systemic exhaustion and entitlement.Colorado has become ground zero for the hijacking of the American Republic. From the ongoing legal persecution of Tina Peters whose nine-year sentence was recently overturned by an appeals court citing a violation of her free speech to the "shadow boxing" happening in the Republican gubernatorial primary, the corruption is absolute. We dive into the latest developments in the Victor Marx campaign, questioning why a candidate continues to dodge public debates and unscripted comments. Is Colorado a lost cause, or is the exposure of pariahs like Matt Crane the first step in taking the state back? Attorney Stephanie Lambert joins us to break down the documents the "Special Master" doesn't want you to see.

In episode 2047, Jack and guest co-host Jamie Loftus are joined by creator and host of JennaWorld, Molly Lambert, to discuss… Indiana BMV Finds A Woman's Doppelganger Through Their Facial Recognition Software, The Ballad of Emily Hart, Trump Reclassifies Marijuana--Potentially Making It Uncool Forever and more! Indiana BMV Finds A Woman's Doppelganger Through Their Facial Recognition Software I Stalked Down My 'Law & Order' Doppelganger and Now We're in Love MAGA Influencer Emily Hart Exposed as Indian Man Trump administration moves to ease federal restrictions on marijuana Trump To Reclassify Marijuana 'As Soon As Wednesday,' But Prediction Markets Are Skeptical Trump officials reclassify medical marijuana as lower-risk drug Trump’s cannabis order will still leave users at risk of prosecution, experts say The Science behind the DEA's Long War on Marijuana Donald Trump Is Going to Ruin Legal Marijuana Why the New Cannabis Classification Matters Is Trump really considering relaxing laws on cannabis? Meet The Cannabis Industry’s Trump Whisperer How the cannabis industry leveraged a big win from Trump Trump could forgive cannabis convictions if he wanted to Weed Arrests Fall Nationwide, But Gaps Persist Colorado man detained by ICE for weeks due to decades-old marijuana charge Judge blasts ICE ‘sloppiness’ for claiming 4-year-old kid had a marijuana conviction LISTEN: The Thief in Marrakesh by Arc de SoleilSee omnystudio.com/listener for privacy information.