Podcasts about International Association

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

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

Send us Fan MailShelby Dennis is an acclaimed professional horse trainer, equine advocate, International Association of Animal Behavior Consultants (IAABC) certified equine behavior consultant, and cofounding member of the Alliance for Horse Welfare in Sport. A driving force in the equestrian world, she is known for her compassionate approach to horse training and her unwavering commitment to the well-being of horses. With a lifetime of experience in the saddle and a deep understanding of equine behavior, Shelby has dedicated her career to promoting a more empathetic and respectful relationship between horses and humans. Growing up in the picturesque landscapes of British Columbia, Canada, Shelby developed a profound love for horses from an early age. Her journey into the world of horsemanship began when she was four, as a young rider showing Arabian horses. Armed with an Equine Science Certificate from the University of Guelph and years of hands-on experience as a professional horse trainer and educator, Shelby has inspired countless riders to adopt methods rooted in empathy, patience, and respect for the horse's natural instincts and behaviors. As the founder of Milestone Equestrian, she hopes to provide a sanctuary for both horses and riders seeking a deeper connection and a more harmonious partnership. Her innovative training techniques, based largely on the research findings of modern equine scientific study, focus on developing mutual trust and understanding to foster a relationship built on cooperation rather than dominance. Shelby's latest book Secrets of the Horse: A New Approach to Training and Understanding Horses is available for purchase on Amazon and anywhere fine books are sold.theplaidhorse.comThank you so much for joining us today on the Plaidcast. This podcast is a labor of love, and every single episode exists because of this incredible community of riders, trainers, barn managers, parents, and horse lovers who show up in the barn, in the ring, and right here with us.At The Plaid Horse, our commitment goes far beyond the show ring. We believe deeply in the power of literacy and education and that every rider, at every level, deserves access to knowledge, stories, and ideas that make them a better horseperson and a better human being. Reading matters. Learning matters. And the stories we tell each other in this sport matter more than we sometimes realize.Whether you are a junior rider picking up your first copy of The Plaid Horse  Magazine, a professional trainer looking for inspiration, or someone who simply loves horses and everything this world stands for then this community is for you. You belong here.We build this together. Every article, every episode, every conversation is an opportunity to learn something new, to feel less alone in the challenges of this sport, and to be reminded of why we fell in love with horses in the first place.Until next time, keep reading, keep learning, keep riding, and remember that the horse world is better when we build it together. I will see you at the ring!

In Episode 369 of The Canine Paradigm, Glenn and Pat catch up after a run of recent adventures, including PSA trials, Red Team work, and the arrival of a new dog. However, the main thread of this episode comes from two powerful episodes of The Bear, titled Fishes and Forks and the phrase, every second counts. Glenn explains how he interpreted those episodes through a dog training lens. Fishes shows chaos, pressure, poor communication, emotional overload, and the damage that can happen when people are stuck reacting instead of leading. In contrast, Forks shows what can happen when someone is placed in the right environment, given structure, trusted with responsibility, and allowed to discover their own value. From there, we connect those ideas back to dogs, handlers, and trainers. Some dogs live in constant noise, pressure, and confusion. Others begin to change when we give them clarity, standards, purpose, and a chance to succeed. The same applies to people learning the craft. Training is not just about commands. It is about environment, timing, leadership, confidence, and creating moments where the learner starts to believe they can do better. This episode is part catch-up, part television breakdown, and part dog training reflection. If you loved The Bear, or if you care about how pressure and purpose shape behaviour, this one will make sense. Further Details Are you in search of top-tier dog trainers and steadfast supporters of the Canine Paradigm? Below is a comprehensive list of individuals and businesses that stand by our mission, contribute to our operational costs, and make significant contributions to the canine community. Glenn Cooke oversees a wide range of canine-related services at Pet Resorts Australia. Pat Stuart offers a full suite of coaching and dog training services through Serious dog business We invite you to support our show and access exclusive content on our Patreon page. Your contributions directly support the show's ongoing production, and we deeply appreciate the wonderful community that has formed around it. If you're unsure how to contribute, feel free to reach out to us for assistance. Explore our complete range of merchandise at our Teespring store. You can also help by spreading the word within the canine community or suggesting special guests for future interviews. For information on how to listen to our podcast, please visit this link. Subscribe to our YouTube channel for video content and updates. If you enjoyed the podcast, we would greatly appreciate your reviews on iTunes, Spotify, and other podcast directories. Details on joining the International Association of Canine Professionals (IACP) can be found here. We highly recommend membership for anyone serious about advancing in the canine industry. We also encourage you to check out Dogs Playing for Life, a transformational rescue process making a positive impact on dogs across the USA. Support Our Supporters Narelle Cooke hosts her own podcast, Natural Health for People and Pets, available on all major podcast platforms. Be sure to listen in. For the finest human-grade supplements for your dogs, visit Canine Ceuticals. Now available in the USA. SHOW SPONSOR Jason Firmin of Einzweck Dog Quip is another proud SHOW SPONSOR. The innovative motorcycle dog kennel can be found at Rowdy Hound. SHOW SPONSOR For daycare and heartfelt training services, check out From the Heart Dog Training. SHOW SPONSOR Our dear friend and frequent contributor, Birdy O'Sheedy, can be found at The magic in dogs Special Thanks A huge thanks to all our contributing artists. Please take a moment to support their amazing work: Jane Stuart Avery Keller Zoie Neidy

Barbra Banner didn't set out to become a medium. It found her — through flying clocks, flickering lights, and orbs that showed up in her audition tapes, all within the span of a few days. What she didn't know then was that she was stepping into a gift that had quietly run through her family for generations.But before any of that, Barbra spent 35 years showing up for people in the worst moments of their lives — on crisis hotlines, in hospital emergency rooms, and with the LA Crisis Response Team, supporting grieving families at the scene of a loved one's passing. Looking back, it was all training for the work she does now.In this conversation, we talk about the signs from loved ones who passed that most people miss (and how to actually recognize them), what trance mediumship really feels like, why grief and laughter aren't opposites, and what it's really like on the other side. We also get into the guilt and blame that quietly break families apart after a loss — and why it doesn't have to be that way.About Barbra BannerBarbra is a certified medium whose gift emerged during the pandemic after a string of unmistakable paranormal experiences. Before mediumship, she spent decades in advertising, and volunteered for 14 years on crisis hotlines, in hospital ERs, and with the LA Crisis Response Team. Connect with Barbra:

In this special replay of a past Psychedelic Coaching Institute webinar, Paul F. Austin is joined by Victoria J. Cvitanovic, attorney and leader of the Psychedelic Medicine and AI Governance practices at Rudick Law Group, for a practical conversation on how AI is reshaping psychedelic practice. Find full show notes and links here: https://thethirdwave.co/podcast/episode-364/?ref=278 Together, Paul and Victoria explore why psychedelic content can get flagged online, how automated moderation systems are changing what practitioners can safely post, and why educational content may still be misread by platforms like Meta. They also discuss payment processor risk, account freezes, client data privacy, AI note-taking tools, website compliance, and the legal nuance practitioners need to understand before building or growing their work online. Victoria J. Cvitanovic is a psychedelic medicine, cannabis, wellness, and tech attorney. In addition to her law degree, Victoria holds CIPP-US and AIGP certifications from the International Association of Privacy Professionals. She leads the Psychedelic Medicine and AI Governance practices at Rudick Law Group, where she also serves as the firm's Data Privacy Officer. Her work covers cybersecurity, data privacy, AI governance, regulatory compliance, corporate formation, licensing, and healthcare integration. Highlights: AI moderation and psychedelic content Why psychedelic posts get flagged online Posting about psychedelics responsibly Payment processors and risk reviews What to do when funds freeze Data privacy in client work AI tools and practitioner liability Website compliance basics Episode Links:  Rudick Law Group Psychedelic Coaching Institute Episode Sponsors:    The Practitioner Certification Program by The Psychedelic Coaching Institute. Golden Rule - Get a lifetime discount of 10% with code THIRDWAVE at checkout Third Wave occasionally partners with or shares information about other people, companies, and/or providers. While we work hard to only share information about ethical and responsible third parties, we can't and don't control the behavior of, products and services offered by, or the statements made by people, companies, or providers other than Third Wave. Accordingly, we encourage you to research for yourself, and consult a medical, legal, or financial professional before making decisions in those areas. Third Wave isn't responsible for the statements, conduct, services, or products of third parties. If we share a coupon code, we may receive a commission from sales arising from customers who use our coupon code. No one is required to use our coupon codes."

In this deeply informative conversation, Ryan Cartlidge is joined by Dot Baisly—the Executive Director for the International Association of Animal Behaviour Consultants (IAABC). With an extensive background in shelter behavior, veterinary medicine, and private consulting, Dot brings a wealth of experience to the table, having previously led behavior programs at major organizations like the North East Animal Shelter and the Animal Rescue League of Boston. Dot holds a Master's Degree in Animal Behaviour from Tufts University and is a Certified Dog Behaviour Consultant, Certified Cat Behaviour Consultant, and Certified Shelter Behaviour Specialist. Together, Ryan and Dot dive into the topic of the Joint Standards of Practice (JSOP), a collaborative initiative aimed at creating a standardized, ethical framework for behavior professionals in an industry that remains largely unregulated. Dot provides much-needed clarity on the structure of the JSOP coalition—explaining the roles of the Steering Committee versus the signatory organizations—and details the massive effort involved in updating the document. She shares the story of how the JSOP recently evolved from a brief, Lima-based guideline into a comprehensive document that now incorporates the five domains of animal welfare and explicitly addresses procedure selection. The conversation highlights why these standards are essential for the future of the industry, moving beyond simple "effectiveness" to ensure that the intervention itself supports the mental and physical well-being of the animal. They discuss the importance of moving toward a recognized profession where practitioners are held accountable, and how collaboration—rather than competition—among certifying and educational bodies is the key to creating a unified, ethical voice. Ryan also announces that the Animal Training Academy has officially become a signatory of the JSOP, reflecting a shared mission to empower professionals with high standards of care. Throughout this episode, we discuss: ✅ The role of the IAABC as a global trade organization and independent certifying body ✅ Defining the Joint Standards of Practice (JSOP) and why it serves as the minimum standard of care ✅ The structure of the JSOP coalition, including the Steering Committee and signatory organizations ✅ The transition from a Lima-based framework to a more comprehensive, science-backed standard ✅ Why self-regulation is a vital step toward professional legitimacy and ethical behavior change ✅ The difference between "assent" and "consent" in supporting learner well-being ✅ How professional standards protect both the animal and the practitioner from burnout ✅ The importance of industry-wide collaboration in raising the bar for animal welfare Whether you are a seasoned consultant or a professional just starting your career, this episode provides a clear roadmap for understanding the ethical foundations of our industry and why participating in standardized, collaborative frameworks is a "no-brainer" for those committed to the highest level of animal care. JSOP Signatories 1) Steering committee APDT IAABC IAABC Foundation Karen Pryor Academy (KPA) 2) Existing signatories Victoria Stilwell Inc. (VSI) Assistance Dogs International (ADI) Grisha Stewart Academy Science Matters Academy Understand Horses 3) Newest signatories Peaceable Paws Malena DeMartini Atlas Assistance Dogs Carefree Companion Academy of Pet Careers  Animal Training Academy Canine Behavior College Good Dog Academy Phenix Advocacy Center for R+ Canine Professionals Links JSOP: https://iaabc.org/standards-of-practice Email director@iaabc.org 

In a sleepy Canberra suburb, Bek Condello was raised in a strict patriarchal Pentecostal movement. The influence of the Geelong Revival Centre extended deeply into the lives of the congregation, promoting discipline and dictating how girls and women behaved, who they socialised with and who they would marry. After finding her way out and discovering her own identity, Bek has written a memoir, out on 14 July, called Can You Handle a Girl Like Me. Through her story she hopes she can inspire others to rebuild and thrive after deep loss.LinksCan You Handle a Girl Like Me — by Bek Condello, Penguin, 2026Secrets We Keep: Pray Harder — Richard Baker's podcast about the Geelong Revival CentreCredits:Produced by Sarah SteelMusic by Joe GouldYou can support Let's Talk About Sects here. Sarah will be appearing at the Festival of Dangerous Ideas in Sydney on Saturday 22 August, chairing Anke Richter's session which also features Laura McConnell, more info about that here. And Joe Gould who you'll know as the composer of this podcast is touring with his band The Crooked Fiddle Band for their 20th anniversary – they count Brian Eno amongst their fans. More info about that here.If you have been personally affected by involvement in a cult, or would like to support those who have been, you can find support with or donate to Cult Information and Family Support if you're in Australia (via cifs.org.au), and you can find resources outside of Australia with the International Cultic Studies Association (via internationalculticstudies.org). If you or someone you know is in crisis or needs support right now, please call Lifeline on 13 11 14 in Australia, or find your local crisis centre via the International Association for Suicide Prevention website at iasp.info. Find Sarah's audiobook Do As I Say here. Hosted on Acast. See acast.com/privacy for more information.

This week, we lost one of the true pioneers of near-death research. PMH Atwater passed away, and as a tribute to her, I'm re-releasing the very first interview I ever recorded with her back in 2019 — before she knew who I was, before I knew what I was doing, and before I understood what a gift those three conversations would turn out to be.If you've ever wondered what death actually feels like, whether thoughts are things, or how a person survives dying not once but three times in a single year — this episode is for you.PMH interviewed nearly 5,000 near-death experiencers over more than four decades. In this conversation, she doesn't just tell you what she found in other people's stories. She tells you her own.In this episode, you'll hear:✨ How PMH's three near-death experiences in 1977 — January 2nd, January 4th, and March 29th — nearly destroyed her body while completely rebuilding her understanding of reality✨ The "litany against fear" she adapted from Dune and chanted by the hour to survive her recovery — and why she's sharing it with you✨ Her encounter with Elizabeth Kübler-Ross at O'Hare Airport that launched her research career — with no university, no funding, no roadmap✨ What she means when she says "thoughts are things," and how she came to that conclusion while dying✨ The voice that told her, "You are to do the research. One book for each death" — and what that meant for the rest of her life✨ Why she made the film As You Die, and why the Catholic Church stepped in to help distribute itA few lines that will stay with you:"Fear is the mind killer. It is the little death. I will pass through my fear. It will go around me and through me. And when it is gone, I will remain.""When you die, you don't become someone else than you were. You are.""Any death in a way is an opening to something else... And if we embrace that, then it can be joyful."About PMH AtwaterPMH Atwater began researching near-death experiences in 1978, becoming one of the founding figures in the field alongside Raymond Moody. Over more than 40 years, she interviewed close to 5,000 adult and child experiencers and authored nearly 20 books, including Coming Back to Life, Future Memory, Beyond the Light, and I Died Three Times in 1977 — The Complete Story. She lectured at the United Nations, appeared on Larry King Live and Geraldo, and remained a leading voice in near-death studies until her passing.Learn more about her work at pmhatwater.com.What resonated with you in this one? I'd love to hear which part of PMH's story stayed with you. Drop a comment below or reach out — I read every one.If this episode moved you, please share it. PMH spent her life making sure these stories didn't get lost. The least we can do is keep passing them on.You've been listening. You're doing the work. But there's still this feeling that you're circling the same place.Maybe you've thought about working with me one-on-one. Maybe something's held you back. I get that. And I want you to know there's still a place for you.All of it, pay what you want. You decide what it's worth. Nobody gets turned away because of money.https://grief2g The International Association for Near-Death Studies or IANDS will host its annual conference at the Hyatt Regency in Bellevue.  The event features an all-star lineup of keynotes like Proof of Heaven Author Eben Alexander, MD, and Dying to Be Me Author Anita Moorjani. I Early bird registration rates are available through July 15. Visit IANDS.org to register The International Association for Near-Death Studies or IANDS will host its annual conference at the Hyatt Regency in Bellevue.  The event features an all-star lineup of keynotes like Proof of Heaven Author Eben Alexander, MD, and Dying to Be Me Author Anita Moorjani. I Early bird registration rates are available through July 15.  Visit IANDS.org to register Want to go deeper? My Substack is where I share solo essays on grief, consciousness, and continuing bonds — thoughts that don't always make it into the podcast. It's also home to a community of listeners who get it, because they're living it too. Free to subscribe. Find it at substack.com/grief2growth.Support the show

Tim was founder member of ITV's Cook Report team and subsequently spent nearly 10 years as producer-director in Yorkshire Television's acclaimed documentaries department making films for series as diverse as First Tuesday, Network First, Dispatches and Secret History. In addition to making high-profile documentaries through Interesting Films, he has also worked within the BBC, ITV and Al Jazeera.His work has been honoured by Amnesty International, the Royal Television Society, The International Association of Broadcasting, The International Documentary Association, UNESCO, The New York Festivals and the US National Academy of Cable BroadcastingThe Interesting Film Company was set up by Tim Tate, a multi- award-winning film maker and best-selling author.The company is now based around a small core of dedicated film-makers who have learned their craft within some of the most prestigious production companies and documentary teams in British broadcasting: Yorkshire Television, the BBC, Granada and Carlton Television; First Tuesday, Network First and The Cook Report.http://interestingfilms.co.uk/Tim Tate : Conspiracy of Silence (Censored Franklin Cover up Documentary Filmmaker)7 years ago #(censored, #conspiracy, #conspiracy of silence, #cover, #documentary, #edopperman, #filmmaker), #franklin, #franklin cover up, #report, #silence, #tate, #tim, #tim tate, #upBecome a supporter of this podcast: https://www.spreaker.com/podcast/the-opperman-report--1198501/support.

Dr. Barb Rembiesa, founder and CEO of the International Association of IT Asset Management, shares how a small act of kindness on her part led to an enormously outsized impact on the residents of a small Kentucky town.Hear Dr. Rembiesa's full interview in her special bonus episode of The Action Catalyst.

What if the word "coach" isn't big enough for what grief actually needs?In this conversation, Dina Bell-Laroche walks me through the journey that took her from a devastated 29-year-old — grieving her younger sister Tracy, who passed from a rare cancer while pregnant with her first child — to becoming one of the clearest voices in grief and loss literacy today. We talk about why she moved away from calling herself a "grief coach," what a grief doula actually does, and how a disconnected rotary phone in a garden in Japan became the inspiration for a project she's now bringing to a hospice near Ottawa.This one will change the way you think about "getting over" a loss — and about ranking your grief against anyone else's.About Dina Bell-LarocheDina Bell-Laroche is a Certified Thanatologist, grief doula, death educator, keynote speaker, and the author of Grief Unleashed: Moving from the Hole in Our Hearts to Whole-Hearted. Since her sister Tracy's passing in 2001, Dina has built classrooms in Nicaragua and Northern Ontario in Tracy's name, hosted dozens of Grief Cafés, and helped launch Ottawa's first Wind Phone. She writes The Grieving Place on Substack and works with individuals, families, and organizations — including elite athletes and executives — navigating grief and life-altering loss.Connect with Dina: Website: https://www.griefunleashed.ca/ Substack — The Grieving Place: https://dinabelllaroche.substack.com/ Instagram, Facebook & LinkedIn: @griefunleashed Book: Grief Unleashed: Moving from the Hole in Our Hearts to Whole-HeartedIn this episode, we cover:The difference between chronos time and kairos time — and what STUGS (sudden temporary upsurges in grief) really areWhy Dina moved from "grief coach" to "grief doula," and what that shift meansDisenfranchised grief, and why sibling loss so often goes unacknowledgedWhy our culture ranks losses against each other — and why that hierarchy needs to goTalking to children honestly about deathThe story behind the Wind Phone, and Dina's new Wind Phone project at a hospice in OttawaWhat the Grief Companion Program actually looks likeWhat resonated with you? Have you ever felt like your grief wasn't "bad enough" to talk about? Drop a comment and let's talk about it.You've been listening. You're doing the work. But there's still this feeling that you're circling the same place.Maybe you've thought about working with me one-on-one. Maybe something's held you back. I get that. And I want you to know there's still a place for you.All of it, pay what you want. You decide what it's worth. Nobody gets turned away because of money.https://grief2g The International Association for Near-Death Studies or IANDS will host its annual conference at the Hyatt Regency in Bellevue.  The event features an all-star lineup of keynotes like Proof of Heaven Author Eben Alexander, MD, and Dying to Be Me Author Anita Moorjani. I Early bird registration rates are available through July 15. Visit IANDS.org to register The International Association for Near-Death Studies or IANDS will host its annual conference at the Hyatt Regency in Bellevue.  The event features an all-star lineup of keynotes like Proof of Heaven Author Eben Alexander, MD, and Dying to Be Me Author Anita Moorjani. I Early bird registration rates are available through July 15.  Visit IANDS.org to register Want to go deeper? My Substack is where I share solo essays on grief, consciousness, and continuing bonds — thoughts that don't always make it into the podcast. It's also home to a community of listeners who get it, because they're living it too. Free to subscribe. Find it at substack.com/grief2growth.Support the show

Today's show features: - Brian Baker, President Automotive at Stream Companies - Zach Slabinski, Director of Retail Ready at Stream Companies - Brian Hoang, CEO & Co-founder at Mia Labs - George Ripley, VP at International Association of Auto Theft Investigators This episode is brought to you by: Haig Partners – When it comes to selling your life's work, trust the only advisors who have built a reputation for maximizing value for family-owned dealerships. The team at Haig Partners has achieved record-setting values across multiple franchises and has represented more owners in the sale of their Toyota dealerships than any other firm. If you are considering a sale, divestiture or looking to grow, begin a confidential conversation at http://haigpartners.com/ Check out Car Dealership Guy's stuff: CDG Circles ➤ ⁠⁠https://cdgcircles.com/⁠⁠ CDG News ➤ ⁠⁠https://news.dealershipguy.com/⁠⁠ CDG Jobs ➤ ⁠⁠https://jobs.dealershipguy.com/⁠⁠ CDG Recruiting ➤ ⁠⁠https://www.cdgrecruiting.com/⁠⁠ My Socials: X ➤ ⁠⁠⁠https://www.twitter.com/GuyDealership⁠⁠⁠ Instagram ➤ ⁠⁠⁠https://www.instagram.com/cardealershipguy/⁠⁠⁠ TikTok ➤ ⁠⁠⁠https://www.tiktok.com/@guydealership⁠⁠⁠ LinkedIn ➤⁠⁠⁠ https://www.linkedin.com/company/cardealershipguy/⁠⁠⁠ Threads ➤ ⁠⁠⁠https://www.threads.net/@cardealershipguy⁠⁠⁠ Facebook ➤⁠⁠⁠ https://www.facebook.com/profile.php?id=100077402857683⁠⁠⁠ Everything else ➤ ⁠⁠dealershipguy.com⁠

For more on this Ciaran Nugent, Vice President of the International Association of Wildland Fire and a fire analyst. We also hear from Dryden Geary who has just returned home from a campsite in France with his wife and their three children.

Emergency departments have become the place where nearly every fracture in the healthcare system eventually shows up: behavioral health gaps, delayed primary care, staffing shortages, transfer disputes and inpatient bottlenecks. As demand rises and care becomes more complex, the ED is no longer just a clinical entry point — it is a pressure test for the entire hospital. Research has linked ED crowding to treatment delays, poorer patient outcomes, violence against staff, turnover and burnout, making emergency care a window into the broader strain on hospitals.So what happens when the system's safety net is treated less like a strategic entry point for care and more like a holding area for everything the rest of the hospital cannot absorb?That's the question at the heart of the latest episode of I Don't Care. Host Dr. Kevin Stevenson speaks with Dr. Jim Augustine, a renowned emergency department physician leader and medical director, about what is broken in emergency care, what can still be fixed, and why hospital leaders need to rethink the role of the ED. Their conversation covers emergency department overcrowding, boarding, benchmarking, EMTALA, behavioral health, post-COVID facility design and the future of hospital-at-home models.What you'll learn…Boarding is not just an ED problem. Dr. Augustine argues that when admitted patients remain in the emergency department because inpatient beds or processes are unavailable, the issue reflects whole-hospital flow, not ED failure.Low-acuity patients are not the real cause of emergency department dysfunction. He warns that blaming ED crowding on sprained ankles or minor complaints distracts from larger operational problems, including inpatient throughput and community care breakdowns.Emergency departments need new planning assumptions. Dr. Augustine says older design formulas no longer fit today's patient population, which is older, more medically complex, more behavioral-health intensive and more likely to require extended diagnostic workups or boarding.Dr. Jim Augustine is a longtime emergency physician and EMS medical director whose career spans emergency department leadership, fire and EMS operations, clinical governance, benchmarking and system design. He has held national leadership roles with the American College of Emergency Physicians, US Acute Care Solutions, the Emergency Department Benchmarking Alliance and the International Association of Fire Chiefs. A clinical professor, consultant, author and speaker, Dr. Augustine is widely recognized for his expertise in emergency care operations, ED data, department design and prehospital care.

Behavioral euthanasia is one of the hardest and most misunderstood decisions a pet parent may ever face. While most people think of euthanasia as something reserved for pets who are elderly, sick, or physically suffering, serious behavior problems can also become quality-of-life and safety issues.In this episode of The Pet Parent Hotline, board-certified veterinary behaviorist Dr. Lore Haug explains what behavioral euthanasia actually means, why it is not only about aggression, and why a pet who appears physically healthy may still be suffering mentally or behaviorally.This conversation looks at the realities families face when a pet's behavior becomes frightening, unsafe, overwhelming, or unmanageable. Dr. Haug discusses severe anxiety, storm phobia, separation distress, compulsive behaviors, self-injury, aggression, rehoming concerns, and the emotional toll these situations can take on both pets and people.This episode is not a decision guide and is not a substitute for working directly with a veterinarian, veterinary behaviorist, or qualified behavior professional. The goal is to help pet parents better understand behavioral euthanasia, reduce stigma around the topic, and recognize why families facing this decision need support, not judgment.IN THIS EPISODE:• What behavioral euthanasia means• Why behavioral euthanasia is broader than aggression• How severe anxiety, phobias, and compulsive behaviors can affect quality of life• Why “physically healthy” does not always mean mentally or behaviorally well• How serious behavior problems can affect the whole family• Why management has to be realistic and sustainable• What pet parents should explore before considering euthanasia• Why medical issues, pain, medications, environment, and nutrition matter• When rehoming may help and when it may simply move the problem• Why shelters, sanctuaries, and “farms” are not always realistic solutions• How guilt, grief, relief, and judgment can all be part of this decision• Why qualified, supportive professionals are so importantGet in touch with Dr. Haug: https://www.texasvetbehavior.com/ RESOURCES MENTIONED:Texas Veterinary Behavior Services:https://www.texasvetbehavior.com/American College of Veterinary Behaviorists:https://www.dacvb.org/International Association of Animal Behavior Consultants:https://iaabc.org/Karen Pryor Academy:https://karenpryoracademy.com/Pet Professional Guild:https://www.petprofessionalguild.com/FINAL THOUGHT:Behavioral euthanasia is not the first option, but it should not be an unspeakable one either. Families facing this decision deserve accurate information, qualified guidance, and compassion.If a pet's behavior has become frightening, unsafe, or overwhelming, the first step is to consult a veterinarian to discuss possible medical causes, pain, medication options, behavior support, and qualified professional help.Stuck on a pet problem? Send it here.Support the showExpert Pet Advice for busy pet parents! Love the show? Leave a 5-star review so more pet parents can find us, and share this episode with someone who needs it. Follow:

Dr. Barb Rembiesa, founder and CEO of the International Association of IT Asset Management, shares how small, intentional acts of kindness can create outsized impact in leadership, business, and everyday life. Drawing on her experience building IAITAM into the world's leading authority on IT asset management and guiding organizations through technology compliance, AI governance, and digital transformation, Dr. Rembiesa explains how “nothings” — simple actions that cost little time or money — can strengthen workplace culture, build trust, and deliver real ROI by restoring humanity to business. This episode offers practical insights for leaders seeking to integrate compassion, intentional listening, and purpose‑driven generosity into a sustainable business strategy.

What if the worst day of your life is also the doorway to who you were always meant to be?In this episode, I sit down with my friend Nico Martens for one of the most personal conversations I've had on the show. Nico and I met about 11 years ago, right after my daughter Shayna passed. Our mutual friend Gini was coming to Shayna's service, and Nico told her Shayna had already visited him. That's how our friendship began, and Nico walked me through some of the darkest days of my life.Nico was a classically trained electromechanical engineer who had no use for anything that couldn't be measured. Then his mother got cancer in Belgium and chose euthanasia so she could be fully conscious when she passed. Sitting beside her in that hospital broke his heart and his entire framework for reality at the same time.What came next was a years-long awakening that took him from skeptic to consciousness educator. We talk about the five specific predictions his mother gave him after she passed that he could not possibly have known. We get into why your subconscious runs 90% of your daily life and why willpower alone will never change it. And we explore subtle energy, sacred sites, and the body wisdom that mainstream science still won't touch.If you have ever felt like grief was reshaping who you are at the foundation, this conversation will give you language for what is happening to you.What We Cover:

Healing, Wholeness & Growth. What do they mean? How do they fit together? How can we enjoy more of all three? Listen in as adoptee and social worker Lynda shares powerful insights and strategies. Lynda is an Adoptee, Registered Social Worker (MSW, RSW) Director of the International Association for Journal Writing, IAJW.org and Certified Professional Co-Active Coach (CPCC) Find out more at: https://www.amazon.com/Adoptees-Guide-Healing-Wholeness-Growth/dp/1963667328/ LyndaMonk.com https://www.linkedin.com/in/lyndamonk/ Guests and the host are not (unless mentioned) licensed pscyho-therapists and speak from their own opinion only. Seek qualified advice if you need help.

In this episode of the IIF Global Regulatory Update podcast, host Philippe Brahin, Head of Insurance and NBFI at the IIF, speaks with Jonathan Dixon, Secretary General (2017-2026) of the International Association of Insurance Supervisors (IAIS), as he concludes nearly a decade of leadership at the organization. The conversation reflects on a period marked by major global disruptions - including the global pandemic, war conflicts, geopolitical fragmentation, and rapid technological changes - alongside significant milestones in international insurance regulation. Drawing on his experience, Jonathan discusses the evolution of the IAIS and its efforts to deliver global standards across a highly diverse membership of roughly 200 jurisdictions. The conversation explores the development and adoption of key frameworks such as ComFrame, the Holistic Framework for systemic risk, and the Insurance Capital Standard (ICS), and what they signal for the future of global convergence in insurance.  The episode also examines emerging priorities for regulators, including the assessment of systemic risk in the insurance sector, the role of insurers in evolving areas such as private credit and asset-intensive reinsurance, and the growing importance of operational resilience in an AI-enabled environment. Jonathan reflects on the continued need to address protection gaps, particularly in natural catastrophe risks, and the role of insurance in supporting societal resilience, economic growth, and long-term investment, while emphasizing the importance of public–private collaboration in shaping innovative insurance solutions and effective supervisory frameworks. The discussion concludes with forward-looking insights on the evolving global regulatory landscape and the enduring strengths of the insurance model.

On Prime Time Episode 379, we are proud to welcome Don Emmanuel of Don Emmanuel Cigars to the show. Don Emmanuel was born in São Paulo, Brazil. His passion was ignited early, inspired by his grandmother's work with Suerdieck, once the largest cigar brand in Brazil. Over the course of two decades, his fascination evolved into mastery: he became the highest-scoring Master Cigar Sommelier in the world, as recognized by the International Association of Cigar Sommeliers (IACS), and has since led master classes and pairing events around the globe, including at InterTabac, the world's largest tobacco fair. Plus, we will have our FSG Beef Question of the Night, Tabacalera USA Ties That Bind, Alec Bradley Live True, Espinosa Today in Sports History, and the Dunbarton Tobacco & Trust Deliberation segments.

On Prime Time Episode 379, we are proud to welcome Don Emmanuel of Don Emmanuel Cigars to the show. Don Emmanuel was born in São Paulo, Brazil. His passion was ignited early, inspired by his grandmother's work with Suerdieck, once the largest cigar brand in Brazil. Over the course of two decades, his fascination evolved into mastery: he became the highest-scoring Master Cigar Sommelier in the world, as recognized by the International Association of Cigar Sommeliers (IACS), and has since led master classes and pairing events around the globe, including at InterTabac, the world's largest tobacco fair. Plus, we will have our FSG Beef Question of the Night, Tabacalera USA Ties That Bind, Alec Bradley Live True, Espinosa Today in Sports History, and the Dunbarton Tobacco & Trust Deliberation segments.

Jacqueline Jackson, Wednesday, June 24th, 2026 - 4 PM ET Topic: Healing the Whole Self: Finding Meaning, Purpose, and Inner Alignment Jacqueline Jackson BIO: With a background in social work, newspaper reporting, and sales/marketing, Jacqueline Jackson brings a grounded, compassionate approach to her work as a writer, yoga practitioner, and group facilitator with Other Parents Like Me—a national online network supporting caregivers of children facing mental health challenges. She is certified in the Invitation to Change Approach (ITC) through the Center for Motivational Change and Youth Mental Health First Aid (YMHFA). Jackie is an experienced, registered yoga teacher (ERYT-500) and Continuing Education Provider (YACEP®) with Yoga Alliance. Since being certified in 2001, she has shared her meditations, stress-reduction, and lifestyle-management skills with thousands of people in a variety of settings, both in person and online. Jackie completed her year-long comprehensive yoga therapy certification in 2013, her trauma-informed yoga certification in 2016, and her Somatic EMDR certificate in 2025. She is a lifelong learner and a member of the International Association of Yoga Therapists (IAYT). In 2025, she launched and co-facilitates year-long, Yoga Alliance-accredited, 200-Hour Yoga Teacher Trainings. Jackie also co-facilitates her local Livestrong at the Y cancer survivor program. She is the author of Urge Overkill: A Story of Breaking Free and Holistic Trauma Healing: Strategies to Integrate the Body, Mind, and Spirit. Visit her at JacquelineJackson.net. United Public Radio & UFO Paranormal Radio www.uprntalkradio.com

Today, Loretta welcomes back Dr. Scott Taylor who is one of the rare voices in the field of consciousness studies who brings together the perspectives of experiencer, researcher, educator, and spiritual teacher.Scott personally experienced a profound Shared Death Experience (SDE), a rare phenomenon in which an individual shares aspects of another person's transition beyond physical life. That experience led him on a decades-long journey of studying consciousness, Near-Death Experiences (NDEs), meditation, and the nature of reality itself.He is the creator and voice of the bestselling Into the Light guided meditation series, including Into the Light: Near-Death Experience Meditations, Meeting Your Guides, Exploring the Tunnel, Exploring Source, and Radiating Love. He also hosts The Afterlife Files podcast and teaches advanced consciousness and afterlife exploration courses through The Shift Network.A longtime leader within the International Association for Near-Death Studies (IANDS), Scott has served multiple terms on the organization's Board of Directors and has been a featured presenter, educator, and co-emcee at numerous international conferences.Drawing from personal experience, academic research, and decades of teaching, Scott offers a unique perspective on what Near-Death Experiencers can teach us about consciousness, purpose, healing, and how to live more meaningful lives. His work reminds us that understanding death may ultimately teach us how to live more fully.Find out more at: https://neardeathmeditations.com/See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In Episode 368 of The Canine Paradigm, Glenn and Pat discuss the uncomfortable reality of aggression in dogs and the question many owners quietly ask themselves. How unbearable does aggression need to be before people seek help, change course, or finally admit the situation is no longer manageable? Aggression affects millions of dog owners around the world, yet it is often misunderstood, minimised, excused, or handled too late. In this episode, we explore the nuance behind aggressive behaviour, including fear, conflict, frustration, genetics, environment, learning history, and poor management. We also discuss why aggression is not always loud, obvious, or dramatic. Sometimes it builds slowly through small warnings that people miss or dismiss. The conversation looks at the emotional toll aggression places on families, the risk to visitors, other animals, and the wider community, and why owners often become stuck between love, guilt, fear, and responsibility. We also talk about the importance of accurate assessment, honest advice, and realistic training plans. This is not a simple topic, and it should never be treated like one. However, with better understanding, earlier intervention, and clearer decision-making, many owners can make safer and more informed choices for their dogs and everyone around them. Further Details Are you in search of top-tier dog trainers and steadfast supporters of the Canine Paradigm? Below is a comprehensive list of individuals and businesses that stand by our mission, contribute to our operational costs, and make significant contributions to the canine community. Glenn Cooke oversees a wide range of canine-related services at Pet Resorts Australia. Pat Stuart offers a full suite of coaching and dog training services through Serious dog business We invite you to support our show and access exclusive content on our Patreon page. Your contributions directly support the show's ongoing production, and we deeply appreciate the wonderful community that has formed around it. If you're unsure how to contribute, feel free to reach out to us for assistance. Explore our complete range of merchandise at our Teespring store. You can also help by spreading the word within the canine community or suggesting special guests for future interviews. For information on how to listen to our podcast, please visit this link. Subscribe to our YouTube channel for video content and updates. If you enjoyed the podcast, we would greatly appreciate your reviews on iTunes, Spotify, and other podcast directories. Details on joining the International Association of Canine Professionals (IACP) can be found here. We highly recommend membership for anyone serious about advancing in the canine industry. We also encourage you to check out Dogs Playing for Life, a transformational rescue process making a positive impact on dogs across the USA. Support Our Supporters Narelle Cooke hosts her own podcast, Natural Health for People and Pets, available on all major podcast platforms. Be sure to listen in. For the finest human-grade supplements for your dogs, visit Canine Ceuticals. Now available in the USA. SHOW SPONSOR Jason Firmin of Einzweck Dog Quip is another proud SHOW SPONSOR. The innovative motorcycle dog kennel can be found at Rowdy Hound. SHOW SPONSOR For daycare and heartfelt training services, check out From the Heart Dog Training. SHOW SPONSOR Our dear friend and frequent contributor, Birdy O'Sheedy, can be found at The magic in dogs Special Thanks A huge thanks to all our contributing artists. Please take a moment to support their amazing work: Jane Stuart Avery Keller Zoie Neidy

What if the reason your best ideas keep falling flat has nothing to do with the quality of the idea?In this episode, Michael Reddington sits down with John Bates, a globally recognized leadership and executive communications coach who has worked with organizations including NASA, Intuit, and Johnson and Johnson. John has delivered multiple TED Talks, coached executives and leaders on every continent, and built a career around one core conviction: communication is not logical. It is biological.This conversation will fundamentally change how you think about every high-stakes conversation you walk into. John breaks down why the ancient part of your brain makes decisions before your logical brain even gets a vote, why trying to establish your credibility usually destroys it, and why the most powerful thing a speaker can do is stop talking about themselves.John unpacks the neuroscience behind why people say yes, yes, yes and then no, how to build emotional credibility before you say a single persuasive word, and the difference between vulnerability that connects and vulnerability that costs you. If you lead people, sell ideas, or speak in front of any audience at all, this episode will give you a new framework for what it actually means to land your message where it counts.What You'll Learn in This EpisodeWhy communication is biological and why logic alone will almost never win a high-stakes conversationHow the paleomammalian brain makes decisions before the logical brain even registers themWhy the yes, yes, yes, no pattern in sales and negotiations is not a lie but a missing emotional connectionWhat emotional credibility is, why it needs to come first, and how to establish it fastHow insightful vulnerability builds trust faster than any credential or accomplishmentWhy your credibility is already established before you walk into the room and trying to prove it only hurts youThe difference between curating for your audience versus dumping everything you know on themWhy saying "I told you so" is proof you failed to communicate, not proof you were rightHow to reframe public speaking anxiety by shifting your attention from yourself to the people you are servingWhy the best ideas, candidates, and products often lose because communication broke down, not because they were wrongChapters(00:00) Why Communication Is Biological, Not Logical(04:24) How the Paleomammalian Brain Makes Decisions Before You Do(08:08) The Yes Yes Yes No Problem and What It Really Means(13:25) What Emotional Credibility Is and Why It Has to Come First(16:59) Origin Stories and the Power of Insightful Vulnerability(22:06) "Don't Insult the Listening" and the Lesson of Trusting Your Audience(26:56) Why Communication Is a Function of Leadership(28:33) Taking Responsibility for What People Hear, Not Just What You Say(33:05) How to Make the Complicated Simple by Curating, Not Dumping(41:37) How to Beat Public Speaking Anxiety by Serving Instead of PerformingAbout the GuestJohn Bates is an executive leadership communications coach, keynote speaker, and entrepreneur who has spent over 15 years helping leaders, teams, and organizations communicate in ways that actually move people. His clients include NASA, Intuit, Johnson and Johnson, Boston Scientific, and Accenture. He has delivered multiple TED Talks, been featured in media around the world, and built a global practice around the idea that great communication is not about saying the right things. It is about making sure the right things land. John coaches one on one, works with small and large teams, and produces free training content through his newsletter and website.Links and ResourcesJohnBates.com - https://www.johnbates.comExecutiveSpeakingSuccess.com - https://www.executivespeakingsuccess.comJohn Bates | LinkedIn - https://www.linkedin.com/in/johnbatesSponsor Links:InQuasive: http://www.inquasive.com/Humintell: Body Language - Reading People - HumintellEnter Code INQUASIVE25 for 25% discount on your online training purchase.International Association of Interviewers: Home (certifiedinterviewer.com)Podcast Production Services by EveryWord Media

Finding the Will to Recover: Nick Prefontaine on Running Out of the Hospital After Doctors Said He Never WouldAt 14, Nick Prefontaine caught the edge of his snowboard going off the biggest jump in the terrain park — and that was the last thing he remembered. He woke up in a world where doctors had already told his parents he might never walk, talk, or eat on his own again. Less than 90 days later, he ran out of the hospital.In this conversation, Nick takes us inside the recovery the motivational posters never show you. We talk about the mother who refused to let a hopeless prognosis be spoken over her unconscious son, the inner voice that whispered you're going to run out of the hospital, and the STEP system — Support, Trust, Energy, Persistence — that he didn't learn from a textbook but built from inside his own crisis.If you're standing at a starting line you never asked for, wondering whether you have what it takes to get back up, Nick's story is a hand reaching back to pull you forward.About Nick PrefontaineNick is a three-time bestselling author and nationally recognized speaker, named one of the top motivational speakers by Yahoo Finance. He's the founder of Common Goal, where he works with people in the middle of trauma, crisis, and life-altering challenges — helping them not just get through it, but thrive on the other side. He also runs a family real estate business buying and selling homes creatively.What we cover:The day of the accident and the "coincidences" that saved his lifeWhy his parents shielded him from the doctors' prognosis — and how that shaped his recoveryThe STEP system: Support, Trust, Energy, PersistenceThe inner voice that became his common goal, and what Nick now believes that voice isLosing his voice for nearly a decade, and what persistence looked like day by dayThe single moment of doubt he allowed himself — and his mother's answerMaking a full recovery: marathons, snowboarding again, and what he carries forwardConnect with Nick:

When Ashley Womble decides she wants to start a family, she worries she'll need to stop taking her antidepressant medication. Instead of finding clear guidance, she runs head-first into a troubling reality: many of the questions pregnant women and their physicians face about medication safety remain difficult to answer because pregnant women have historically been excluded from medical research. This episode looks at the ethical trade offs of leaving pregnant women out of medical research—and what happens when they and their doctors must make high stakes healthcare decisions without high quality evidence.This episode features:Ashley Womble, MPH: Writer and marketing professional.Ruth Faden, PhD, MPH: Philip Franklin Wagley Professor of Biomedical Ethics at the Johns Hopkins Berman Institute of Bioethics.Crystal Clark, MD, MSc: Associate Professor, Department of Psychiatry, Temerty Faculty of Medicine, University of Toronto.Marika Toscano, MD, MS: Assistant Professor of Gynecology and Obstetrics at Johns Hopkins University School of Medicine.This episode contains references to suicide, which may be distressing for some listeners. If you or someone you know is struggling, support is available.In the U.S., you can call or text the Suicide and Crisis Lifeline at 988 or the National Maternal Mental Health Hotline at 1-833-TLC-MAMA.For listeners outside the U.S., the International Association for Suicide Prevention can help connect you with support in your area: www.iasp.info/suicidalthoughts/“playing god?” is a podcast by the iDeas Lab at the Johns Hopkins Berman Institute of Bioethics. To read a transcript of this episode, visit the iDeas Lab website at https://bioethics.jhu.edu/pgs2e6.The Johns Hopkins University Sesquicentennial is proud to support this podcast. JHU celebrates 150 years of pioneering education and research—advancing knowledge to meet the challenges of every generation. Learn more at 150.jhu.edu.

In this episode of the Living to 100 Club podcast, Dr. Joseph Casciani speaks with cardiologist and preventive healthcare expert Dr. Pratiksha Gandhi. We discuss heart health, aging, and the growing importance of prevention and lifestyle-based care. Dr. Gandhi is the Founder and CEO of CoCardio™ Inc and has spent nearly three decades helping individuals improve cardiovascular health through holistic and preventive approaches used alongside traditional medical care. Over the course of her career, she has worked with more than 100,000 clients internationally. She has written five books on heart health and wellness. The discussion explores how lifestyle, stress, behavior, mindset, nutrition, exercise, and early intervention may influence long-term cardiovascular health and healthy aging. Dr. Gandhi also discusses EECP therapy. What are related approaches that may offer additional options for some individuals seeking non-surgical support for heart conditions. Topics include: Preventive approaches to cardiovascular health The relationship between lifestyle and longevity Stress, emotional health, and the aging heart Whether aspects of heart disease may be improved or reversed EECP and non-invasive approaches to circulatory support What people often misunderstand about heart health Practical steps listeners can take to protect heart function as they age This conversation offers an encouraging and practical look at how proactive choices and informed care may help support both heart health and quality of life over time. For more information about Dr. Pratiksha Gandhi and CoCardio™, visit her website and related resources: https://cocardioinc.com Interested in learning more about EECP? Listen to our related episode: "EECP Therapy and Heart Health with Jack Clifford" Mini Bio CoCardio™ Inc, is the continuation of Pratiksha Gandhi's lifelong mission to prevent heart attacks and reverse heart disease naturally. This approach adopts holistic solutions as an adjunct to standard care. Now, Dr. Gandhi brings her expertise and knowledge to San Diego. She is on a mission to share her knowledge and experience to revolutionizing how we approach heart care and save lives. Pratiksha Gandhi, MD, has published five books. She has also been published in US News, California Herald, Times of India, LA Wire and NY Weekly. Acknowledged by the California Legislature Assembly and honored with the 2016 President's Volunteer Service Award for exceptional support to GuardaHeart in enhancing heart health and saving lives, Pratiksha Gandhi MD stands as a beacon in the field. In 2016, the International Association of Cardiologists, New York, USA, hailed her as The Leading Physician of the World. Additionally, in March 2017, she was proudly awarded the Top 50 Global Women Healthcare Leader. For Our Listeners Dr. Gandhi's website: https://cocardioinc.com

Carol Merchasin is the newly appointed President of the International Cultic Studies Association (ICSA). Drawing on decades of experience in law, investigations, and survivor advocacy, Carol has led inquiries into allegations of misconduct within prominent spiritual and religious organisations and has worked extensively with survivors of coercive control and abuse. Through her legal practice, public education efforts, and leadership at ICSA, she has become a leading voice on cultic abuse, human trafficking, labour exploitation, and the protection of vulnerable individuals within high-control environments.In this interview episode, we chatted about the role of ICSA, where Carol sees the organisation going next, what's upcoming at the 2026 ICSA Conference in July, and some of the trends and shifts the organisation is seeing with coercive groups, holding them to account, and the media landscape.LinksInternational Cultic Studies Association (ICSA) — official websiteICSA Conference 2026 — 1-4 July, San Diego USACredits:Produced by Sarah SteelMusic by Joe GouldYou can support Let's Talk About Sects here. If you have been personally affected by involvement in a cult, or would like to support those who have been, you can find support with or donate to Cult Information and Family Support if you're in Australia (via cifs.org.au), and you can find resources outside of Australia with the International Cultic Studies Association (via internationalculticstudies.org). If you or someone you know is in crisis or needs support right now, please call Lifeline on 13 11 14 in Australia, or find your local crisis centre via the International Association for Suicide Prevention website at iasp.info. Find Sarah's audiobook Do As I Say here. Hosted on Acast. See acast.com/privacy for more information.

From the Arabian horse circuit to hunter/jumper to dressage and exercising race horses, Shelby's practical experience with different kinds of horses has made her a well rounded horse person. On top of her practical experience, Shelby has also taken several Equine Science based courses through Guelph to work towards her Certificate of Equine Science, choosing to emphasize her studies and education on Equine Behaviour. In early 2021, Shelby received her Equine Behaviour Consultant certification from the International Association of Animal Behaviour Consultants. The understanding and correct application of equine learning theory has allowed Shelby to hone her skills as a horse person and continue modernizing her approach as a trainer, with emphasis on equine ethology and ethical practice. Shelby attributes her history with horses to shaping the hardworking, patient and driven individual she is today. Connect with Shelby: Website: https://milestoneequestrian.ca/

What if the biggest thing standing between you and your next closed deal isn't your pitch…it's your communication pattern?In this episode, Michael Reddington sits down with Amy Reczek, founder of Sales and Presence and author of Connect to Close, her second book on building genuine relationships in sales and leadership. Amy works with sales and leadership teams to equip them with the skills necessary to build trust, navigate complexity, and guide the decision-making process forward without the old-school scripts that get in their own way.Amy and Michael cover the full spectrum of intentional communication: from interrupting the patterns holding you back, to recognizing the micro moments that change the course of a relationship, to deploying her BREW methodology as a practical framework you can apply to any conversation. If you've ever felt like you were talking at someone instead of with them, this episode will show you exactly what to do differently.What You'll Learn in This EpisodeWhy your communication patterns are probably more outdated than you think -- and how to interrupt them by just 1%The difference between intent and impact, and why getting that wrong costs you relationships before they even startHow micro moments in everyday conversations can shift your outcomes more than any pitch ever willWhy the goal of the meeting is never the deal -- and what it actually should beHow to build confidence through non-verbal cues and purposeful preparation before you walk in the roomThe BREW methodology: Be the Moment, Raise Confidence, Engage, and What About -- a framework for any interactionWhy "you," "because," and "thank you" are three of the most powerful words in your vocabulary, and why "sorry" and "just" are quietly killing your credibilityChapters(00:00) Introduction to Amy Reczek and Connect to Close(04:12) Why Communication Patterns Go Stale and How to Interrupt Them(10:30) Intent vs. Impact: The Hidden Driver Behind Every Conversation(14:53) Why Buying Relationships Doesn't Build Them(22:43) Micro Moments and the Listening Skills That Unlock Them(28:35) Building Confidence Through Non-Verbal Cues and Practice(34:48) The BREW Methodology: A Framework for Every Interaction(42:41) Guiding Decisions Without Scripts or Pressure(51:53) The Most Impactful Words and Phrases in Any ConversationLinks and ResourcesConnect to Close by Amy Reczek: https://a.co/d/01F83b8ESales and Presence: https://www.salesandpresence.comAmy Reczek | LinkedIn: https://www.linkedin.com/in/amy-reczekSponsor Links:InQuasive: http://www.inquasive.com/Humintell: Body Language - Reading People - HumintellEnter Code INQUASIVE25 for 25% discount on your online training purchase.International Association of Interviewers: Home (certifiedinterviewer.com)Podcast Production Services by EveryWord Media

EVEN MORE about this episode!Near-death experiencer, therapist, and bestselling author Jacob Cooper returns to the Ask Julie Ryan show for a powerful conversation about healing, transformation, and the wisdom hidden inside life's greatest challenges.Drawing from his own near-death experience and years of helping others navigate grief, trauma, and personal growth, Jacob shares profound insights into suffering, resilience, soul evolution, and spiritual awakening. Together, Julie and Jacob explore why healing isn't about fixing what's wrong with us, but about discovering the gifts, lessons, and opportunities for growth that emerge through life's most difficult experiences.The conversation dives into near-death experiences, communication with spirit, consciousness, self-compassion, Jacob's Ladder, and the deeper purpose behind our human journey. Whether you're navigating loss, searching for meaning, or curious about life beyond this physical reality, this episode offers hope, inspiration, and a powerful new perspective on healing.Guest Biography:Jacob L. Cooper is a licensed clinical social worker, certified hypnotherapist, Reiki Master, past-life regression specialist, and bestselling author of Life After Breath and The Wisdom of Jacob's Ladder. Inspired by his own near-death experience and extensive work with past-life memories, Jacob helps people navigate grief, spiritual awakening, and personal transformation through a blend of clinical expertise, mindfulness, and consciousness studies. He is the host of The Wisdom of Jacob's Ladder podcast and a sought-after speaker who has been featured by organizations including the International Association for Near-Death Studies (IANDS), the Forever Family Foundation, and major media outlets, sharing insights on life after death, healing, and the deeper purpose of our human journey.Episode Chapters:(0:00:00) - Introduction and What If Nothing Is Broken(0:07:00) - Suffering vs Pain: Is Suffering Optional(0:12:00) - Wounds as Doorways to Consciousness(0:24:00) - Near-Death Experiences and Spiritual Awakening Without Dying(0:39:00) - The Journey of Eternal Becoming(0:54:00) - Embracing Change Through Self-Love Not Fixing(0:66:00) - Near-Death Experience and Understanding Suffering as Purpose(0:84:00) - Communicating With Spirit: Tuning Into the Right Channel(0:95:00) - Jacob's Ladder: Biblical Wisdom for Modern Times(0:113:00) - Finding Unity in a Divided World(0:133:00) - Why We Incarnate and Closing Thoughts➡️ Subscribe to Ask Julie Ryan YouTube➡️ Julie's Intuitive Trainings✏️ Ask Julie a Question!

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.

In this episode, Dan and Stephanie sit down with Dr. Jake Porter for a thoughtful and honest conversation about one of the most debated — and often weaponized — passages in Christian marriage discussions: 1 Corinthians 7.What did Paul actually mean when he wrote about marital intimacy? How has this passage been misused to justify pressure, coercion, and “duty sex” within Christian relationships? And what happens when mutuality, context, and the heart of the Gospel are stripped away from the conversation?Together, they unpack the historical and relational context of Paul's words, explore the difference between covenant and control, and discuss how Scripture can be applied in ways that either foster safety and connection or deepen shame and harm.This episode is not about dismissing Scripture. It is about reading it carefully, relationally, and in the spirit it was intended.Topics include:Weaponized Scripture in marriage“Duty sex” and coercive interpretationsMutuality and consent in 1 Corinthians 7What Dr. Stephanie has heard in her NeuroDiverse Couples' WorkIs there such a thing as the sin of withholding?What Paul was addressing in the Corinthian churchHow pastors and couples can approach these conversations with wisdom and careA nuanced conversation about theology, relationships, and the difference between biblical intimacy and spiritual pressure. About Dr. Jake Porter:https://www.daringventures.com/Scripturally, Pastorally & Clinically Trained:EducationB.A., Elmira College, triple majors in Psychology, Music, Philosophy & ReligionM.Div., Southwestern Baptist Theological SeminaryTh.M. in Spirituality & Ethics, The Southern Baptist Theological SeminaryM.Ed. in Clinical Mental Health Counseling, Lamar UniversityEd.D., The Southern Baptist Theological Seminary. Dissertation: Affective Social Neurobiology & Student Formation: A Transdisciplinary Multimethod StudyProfessional Memberships & AffiliationsLead Professor for the Doctor of Professional Counseling Program  & Assistant Professor of Counseling, Kairos UniversityFaculty, International Institute of Trauma and Addiction ProfessionalsMember, Division 47 of the APA: Society for Sport, Exercise and Performance PsychologyMember, Division 43 of the APA: Society for Couple and Family PsychologyMember, Division 8 of the APA: Society for Personality and Social PsychologyMember, Society for the Advancement of Sexual HealthProfessional ServiceFounder & President, The International Association of Couple–Centered Recovery®Board of Directors, The Association of Partners of Sex Addiction Trauma Specialists (APSATS)Board of Directors, Christian Sex Addiction Specialists International (C-SASI)Professor of Counseling, Kairos University's Houston Graduate School of TheologyLicensure & CertificationsLicensed Professional Counselor, State of Texas (#78173)Licensed Clinical Professional Counselor, State of Montana (#76171)Board Certified Counselor, National Board for Certified CounselorsCertified Sex Addiction Therapist – Supervisor, International Institute for Trauma and Addiction ProfessionalsCertified Multiple Addiction Therapist, International Institute for Trauma and Addiction ProfessionalsCertified Clinical Partner Specialist, The Association for Partners of Sex Addicts Trauma SpecialistsCertified Psychedelic-Assisted Therapy Provider, The Integrative Psychiatry Institute Licensed Psilocybin Facilitator (FL-12de7070), State of OregonCertified Clinical Trauma Professional, International Association of Trauma ProfessionalsAdvanced TrainingsCoachRICE Executive Leadership Coach Training, Rice UniversityPACT Level III (Psychological Approach to Couple Therapy)Accelerated Experiential Dynamic Psychotherapy (AEDP) Level IGottman Couple Therapy Level IEMDR Level I (EMDRIA–Approved Training)Emotionally Focused Therapy (Externship, Core Skills 1-4)Post–Induction Therapy (The Meadows Model), Pia Mellody 

In this episode of The Dream Journal, Katherine Bell talks with Dr. Gayle Delaney about the origins of modern dreamwork, the early days of the International Association for the Study of Dreams, and Delaney's practical Dream Interview Method. Their conversation also explores how curiosity—not imposed interpretation—can unlock the meaning of dreams, why sleep is essential for emotional and cognitive health, and how dreamwork can help people make better choices in waking life. Gayle Delaney's Dream Interview Method and why it avoids one-size-fits-all interpretations How IASD began and what the early dream conferences were like Why dreamwork starts with curiosity, precise questions, and the dreamer's own language The connection between sleep, joy, energy, and long-term brain health An example of how a dream about a black cat can open into real-life insight BIO: Dr. Gayle Delaney is the author or editor of eight books on dreaming, and Gail is a true pioneer in modern dream work who created the simple and powerful dream interview method. Gayle was also the founding president of the International Association for the Study of Dreams and along with Dr. Loma Flowers, Gayle was the creator and co-director of the Delaney and Flowers Dream Center in San Francisco. Contact our guest: DelaneyonDreams.com The IASD conference is June 13-17 in Ashland Oregon. Find out more at IASDconferences.org/2026/ This show, episode number 367, was broadcast on June 13, 2026 at KSQD.org, community radio of Santa Cruz. It was recorded on May 13, 2026. SHARE A DREAM FOR THE SHOW or a question or enquire about being a guest on the podcast by emailing Katherine Bell at katherine@ksqd.org. Follow on LI, IG, YT, FB, & LT @ExperientialDreamwork #thedreamjournal. To learn more or to inquire about exploring your own dreams go to ExperientialDreamwork.com. Video podcast available at youtube.com/@experientialdreamwork. Popular playlists: “Dream Journal shorts” and “FULL LENGTH VIDEOS”. Here are links to some other Dream Journal episodes you might be interested in: How Dreams Improve Emotional Health | Psychiatrist Loma K. Flowers on Emotional Competence Understanding Your Mind with Jesse Lyon Intro and outro music by Mood Science. Ambient music new every week by Rick Kleffel. Archived music can be found at Pandemiad.com. Many thanks to Rick for also engineering the show and to Erik Nelson for answering the phones. The Dream Journal aims to: Increase awareness of and appreciation for nightly dreams. Inspire dream sharing and other kinds of dream exploration as a way of adding depth and meaningfulness to lives and relationships. Improve society by the increased empathy, emotional balance, and sense of wonder which dream exploration invites. A dream can be meaningful even if you don’t know what it means. The Dream Journal is produced at and airs on KSQD Santa Cruz, 90.7 FM. Catch it streaming LIVE at KSQD.org 10-11am Pacific Time on Saturdays. Call or text with your dreams or questions at 831-900-5773 or email at onair@ksqd.org. Podcasts are available on all major podcast platforms the Monday following the live show. The complete KSQD Dream Journal podcast page can be found at ksqd.org/the-dream-journal/. Thanks for being a Dream Journal listener! Available on all major podcast platforms. Rate it, review it, subscribe, and tell your friends.

In Episode 367 of The Canine Paradigm, we explore how a dog understands its name and whether that understanding is anything like the way humans think about names. For people, a name often carries identity, history, emotion, ownership, and social meaning. However, for dogs, the concept may work very differently. We walk through the difference between human interpretation and canine learning. Does the dog understand its name as “me”, or has the sound simply become a cue that predicts attention, movement, reward, pressure, or interaction? We also discuss how owners often use a dog's name in confusing ways, sometimes as a recall, sometimes as a warning, sometimes as background noise, and sometimes as a correction. From there, we look at how to build a cleaner name response. If the name means orient to the handler, then we need to teach that clearly. If it means prepare for information, then the dog needs a consistent history attached to it. Either way, the lesson is the same. The dog's name is not magic. It is a trained signal, shaped by repetition, emotion, timing, and consequence. This episode will make you think differently about one of the most common words your dog hears every day. Further Details Are you in search of top-tier dog trainers and steadfast supporters of the Canine Paradigm? Below is a comprehensive list of individuals and businesses that stand by our mission, contribute to our operational costs, and make significant contributions to the canine community. Glenn Cooke oversees a wide range of canine-related services at Pet Resorts Australia. Pat Stuart offers a full suite of coaching and dog training services through Serious dog business We invite you to support our show and access exclusive content on our Patreon page. Your contributions directly support the show's ongoing production, and we deeply appreciate the wonderful community that has formed around it. If you're unsure how to contribute, feel free to reach out to us for assistance. Explore our complete range of merchandise at our Teespring store. You can also help by spreading the word within the canine community or suggesting special guests for future interviews. For information on how to listen to our podcast, please visit this link. Subscribe to our YouTube channel for video content and updates. If you enjoyed the podcast, we would greatly appreciate your reviews on iTunes, Spotify, and other podcast directories. Details on joining the International Association of Canine Professionals (IACP) can be found here. We highly recommend membership for anyone serious about advancing in the canine industry. We also encourage you to check out Dogs Playing for Life, a transformational rescue process making a positive impact on dogs across the USA. Support Our Supporters Narelle Cooke hosts her own podcast, Natural Health for People and Pets, available on all major podcast platforms. Be sure to listen in. For the finest human-grade supplements for your dogs, visit Canine Ceuticals. Now available in the USA. SHOW SPONSOR Jason Firmin of Einzweck Dog Quip is another proud SHOW SPONSOR. The innovative motorcycle dog kennel can be found at Rowdy Hound. SHOW SPONSOR For daycare and heartfelt training services, check out From the Heart Dog Training. SHOW SPONSOR Our dear friend and frequent contributor, Birdy O'Sheedy, can be found at The magic in dogs Special Thanks A huge thanks to all our contributing artists. Please take a moment to support their amazing work: Jane Stuart Avery Keller Zoie Neidy https://thecanineparadigm.com/2026/05/29/the-method-that-works-on-every-dog/

We tend to think of grief as something we feel — a heaviness in the heart, a fog in the mind. But what if grief is also something we store, physically, in the body? And what if the breath you take without thinking could be the very thing that sets it free?In this episode, I talk with Kurtis Lee Thomas — the "Man from the Stars" — about a path to healing that didn't begin in a wellness studio, but in suffering. A five-year stomach condition no doctor could diagnose. The loss of his brother to gun violence. A 2 a.m. encounter with a medium at a gas station that cracked his worldview wide open.What Kurtis found on the other side of that pain is a practice he calls humanity's original medicine. We explore why talk therapy can only reach so far, what actually happens when the breath quiets the mind's inner critic, and why grief in particular responds to this work like almost nothing else.If you've done all the "right" things and still feel something stuck inside you, this conversation offers a different doorway — and a lot of hope.About Kurtis Lee ThomasKurtis Lee Thomas is the founder of the global wellness movement Breathwork Detox and Chairman of the Just Breathe Foundation, which has partnered with Nike, NASA, and others to bring mental health solutions to those who need them most. A #1 best-selling author and corporate mindfulness trainer, his work has been featured on the Today Show and Bloomberg, and he was voted the #1 employee well-being provider of 2023. He's the author of Breathwork Detox: How to Thrive in the Age of Anxiety and The World Is Yours: The Secrets Behind The Secret.Connect with Kurtis:Website: https://breathworkdetox.com Instagram: @manfromthestars Foundation: https://justbreathe.org Books: Breathwork Detox: How to Thrive in the Age of Anxiety and The World Is Yours: The Secrets Behind The SecretWhat We CoverWhy grief lives in the body — and the specific place the emotion of loss gets storedWhat really happens in a breathwork session, and why roughly 60% of people end up cryingThe mystery illness that no test could explain — and what finally moved itThe science of "transient hypofrontality": how breath quiets the inner critic and opens up clarityWhy breathwork has no barriers to entry, unlike meditation and yogaThe TED Talk that got banned for calling breathwork "the original medicine"Starseeds, light workers, and the sense that something is shifting in our worldLetting go to let in: the airplane-runway secret behind grief, manifesting, and freedomLet's Continue the ConversationWhat resonated with you in this episode? Have you ever felt grief show up in your body — in your chest, your shoulders, your gut? I'd love to hear your experience.Head over to the article for this episode at https://grief2growth.substack.com, where you can comment and connect with me and other listeners.If you're wondering where you are in your own grief, take the free Grief Check-In at https://grief2growth.com/check-in — it's not a test, just a gentle way to understand how grief is showing up for you right now.You've been listening. You're doing the work. But there's still this feeling that you're circling the same place.Maybe you've thought about working with me one-on-one. Maybe something's held you back. I get that. And I want you to know there's still a place for you.All of it, pay what you want. You decide what it's worth. Nobody gets turned away because of money.https://grief2g The International Association for Near-Death Studies or IANDS will host its annual conference at the Hyatt Regency in Bellevue.  The event features an all-star lineup of keynotes like Proof of Heaven Author Eben Alexander, MD, and Dying to Be Me Author Anita Moorjani. I Early bird registration rates are available through July 15. Visit IANDS.org to register The International Association for Near-Death Studies or IANDS will host its annual conference at the Hyatt Regency in Bellevue.  The event features an all-star lineup of keynotes like Proof of Heaven Author Eben Alexander, MD, and Dying to Be Me Author Anita Moorjani. I Early bird registration rates are available through July 15.  Visit IANDS.org to register Want to go deeper? My Substack is where I share solo essays on grief, consciousness, and continuing bonds — thoughts that don't always make it into the podcast. It's also home to a community of listeners who get it, because they're living it too. Free to subscribe. Find it at substack.com/grief2growth.Support the show

Crayfish, Crawfish, Crawdad; no matter what you call them, If you live in the southeastern United States, their biodiversity hotspot is in your backyard! Astacologist (crayfish biologist) Dr. Zack Graham joins us on this episode to tell us just how wild these freshwater crustaceans are. He shares just a bit of his knowledge on their biodiversity, interesting behaviors, their impact on American culture, and some of the unique threats they continue to face. At the end of the day, why do crayfish matter? Zack says, “I think at a basic level, humans are just generally curious about what's going on out in nature. And that's what really fuels a lot of my work, just trying to understand what has happened in the past, what's going to happen in the future to these animals that have been living on earth for over 300 million years. They've been here for a very long time. So I think, you know, they kind of have a right to be here and to be protected and to be studied and understood.”A transcript of this episode can be found here: Zack Graham - TranscriptEpisode image credit: Zack GrahamLearn more about Zack's lab: https://crayfish.westliberty.edu/You can also follow them on facebook: www.facebook.com/wlucrayfishAnd on Instagram: @wlucrayfishlabYou can order Zack's book here: https://uncpress.org/9781469685731/crayfish-crawfish-crawdad/Learn more about the International Association of Astacology: https://www.astacology.org/default.asp?uid=GuestPeruse the American Crayfish Atlas: https://americancrayfishatlas.web.illinois.edu/And check out some beautiful crayfish photos from Zack's adventures: https://www.flickr.com/photos/196391561@N03/Be sure to follow New Species on Bluesky (@newspeciespodcast.bsky.social) and Instagram (@NewSpeciesPodcast) and “like” the podcast page on Facebook (www.facebook.com/NewSpeciesPodcast).Music in this podcast is "No More (Instrumental)," by HaTom (https://fanlink.to/HaTom)If you have questions or feedback about this podcast, please e-mail us at NewSpeciesPodcast@gmail.comIf you would like to support this podcast and enjoy bonus episodes, please consider doing so at https://www.patreon.com/NewSpeciesPod

Most people obsess over food, supplements and exercise — while spending 90% of their lives breathing the air inside potentially toxic buildings. That's why I brought on a true expert in the field in Jean-Marc Masson. We unpack the hidden dangers of Sick Building Syndrome, from mold and VOCs to poor ventilation and the chronic symptoms silently affecting energy, cognition, sleep and long-term health. Made To Thrive's 7th Pillar Environment, our home and workplace, is always the one people underappreciate and it's actually the biggest health variable you've never quantified.Jean-Marc Masson, Owner of Home Inspection Services South Africa, has been inspecting property for over a decade. He joined Home Inspection in 2011, was trained by Steve Kay – original founder of Home inspection. Jean-Marc went on to get certified as a Certified Master Inspector (CMI)®, Mould Inspector, Thermal Imaging Inspector and Commercial Building Inspector through InterNACHI. Every inspection conducted is governed by an international code of ethic and standards of practice. These are set out by the International Association of Certified Home Inspectors (InterNACHI).Contact Website:https://www.homeinspection.co.zaJoin us as we explore:Why a home inspection uncovers hidden toxicities and solves medical mysteries.Why the dangers of sick homes is that you cannot see the threats.Why dangers of mold, where it comes from, how to address and remediate and why you should be wary of doing your own home Petri dish test.The danger of carpets.Why the type of your roof is far more important than you realize.Why the basics like natural ventilation and sunlight exposure are critical to a healthy home.Support the showFollow Steve's socials: Instagram | LinkedIn | YouTube | Facebook | Twitter | TikTokSupport the show on Patreon:As much as we love doing it, there are costs involved and any contribution will allow us to keep going and keep finding the best guests in the world to share their health expertise with you. I'd be grateful and feel so blessed by your support: https://www.patreon.com/MadeToThriveShowSend me a WhatsApp to +27 64 871 0308. Disclaimer: Please see the link for our disclaimer policy for all of our content: https://madetothrive.co.za/terms-and-conditions-and-privacy-policy/

What if the most loving thing you could do for someone is start a conversation you've been avoiding?In this episode, Michael Reddington sits down with Cory Fosco, a 34-year veteran of the eldercare and healthcare technology industries, author of The Question of When, creative writing teacher, and VP of Enterprise Sales. Cory brings a rare combination of frontline caregiving experience, social work roots, and sales leadership perspective to one of the most universally avoided topics in family life: planning for the care of aging loved ones before a crisis forces your hand.This conversation goes far beyond eldercare. Cory unpacks why denial and guilt keep families frozen, how the fear of messing up drives worse decisions than the fear of missing out, and why having a conversation is fundamentally different from making a decision. The parallels to sales, leadership, and any high-stakes relationship are impossible to miss.What You'll Learn in This EpisodeWhy waiting for the "right time" to have a care conversation is itself the mistakeHow families that do the homework in advance make better decisions under crisis pressureThe difference between "fear of missing out" and "fear of messing up" and how it shows up in caregiving and salesWhy expressing love through preparation changes how families approach difficult conversationsHow having a conversation and making a decision are not the same thing -- and why that distinction mattersWhat the "When Readiness Checklist" is and how to use it to assess where your family standsWhy "it's better to do right than to be right" applies equally to caregiving, leadership, and salesHow to give people around you permission to make mistakes by modeling it yourselfChapters(00:00) Introduction to Cory Fosco and A Question of When(05:05) Why Families Wait Too Long to Have the Conversation(07:28) How We Compensate and Make Excuses for Loved Ones(10:57) How to Optimize Preparation Time and Remove Stress From Big Decisions(14:18) The Fear of Messing Up and How to Take the Risk Off the Table(24:00) Listening as the Foundation of Caregiving, Sales, and Leadership(27:39) Why It's Better to Do Right Than to Be Right(33:13) How the Book Is Structured to Meet Families Where They Are(50:21) Core Principles for Navigating Difficult Family Conversations(52:31) How to Find Cory and Access His ResourcesAbout the GuestCory Fosco has spent over 34 years working at the intersection of long-term care, healthcare technology, and family decision-making. He began his career as a social worker, moved into admissions and senior care leadership, and now serves as VP of Enterprise Sales for one of the largest EMR platforms serving skilled nursing facilities. He is the author of A Question of When, a guide for families navigating eldercare decisions, and teaches creative writing to a wide range of students including the blind and visually impaired community through Second Sense in Chicago.Links and ResourcesA Question of When by Cory Fosco - https://a.co/d/0ciiLRpchttps://www.coryfosco.comFrom Values to Action by Harry Kramer - https://a.co/d/06m0h7lHSponsor Links:InQuasive: http://www.inquasive.com/Humintell: Body Language - Reading People - HumintellEnter Code INQUASIVE25 for 25% discount on your online training purchase.International Association of Interviewers: Home (certifiedinterviewer.com)Podcast Production Services by EveryWord Media

What if your body isn't broken — it's trying to tell you something?That's the question at the heart of this conversation with Inna Segal, one of the world's leading voices in energy medicine and body-mind healing. Inna's story didn't begin in a classroom or a clinic. It began in a body that was suffering — chronic back pain, psoriasis, digestive illness — and a loss so devastating it brought everything to a halt: the death of a stillborn child at age 20.What happened next changed the course of her life, and has since helped hundreds of thousands of people worldwide understand what their bodies are actually saying.In this episode, Inna and Brian explore the hidden language of physical symptoms, the way grief and trauma embed themselves in the body across generations, and what it actually looks like to heal from the inside out.Topics covered in this episode:How Inna healed chronic back pain and psoriasis through self-inquiry and emotional release — with no formal techniqueThe chiropractor who told her "your body wants to be stuck" — and why that fury became her turning pointThe angelic vision she had after losing her child, and how it shaped her spiritual pathHow she discovered she could see into other people's bodies — and the first time it was confirmedThe astral body, the etheric body, and why physical symptoms often originate somewhere else entirelyAncestral grief: how her grandmother's Holocaust survival lived in Inna's digestive system across generationsWhy grief that isn't felt gets stored — and what happens when you finally let it moveHow Inna processed the loss of her grandmother by finding her qualities in strangers across AmericaWhat makes The Secret Language of Your Body different from every other body-mind bookHer masterclasses and the Awaken the Healer Within programAbout Inna Segal:Inna Segal is a pioneer in energy medicine and human consciousness who has spent over 25 years helping people heal physically, emotionally, and spiritually. Her bestselling book The Secret Language of Your Body has sold over a million copies and been translated into 27 languages. She works with trauma survivors, doctors, psychologists, and elite athletes worldwide.

Elevated GP - Click here to join Elevated.GP Follow @dr.melissa_seibert on Instagram Dr. Peter Milgrom is Professor of Oral Health Sciences and Pediatric Dentistry in the School of Dentistry and adjunct Professor of Health Services in the School of Public Health at the University of Washington. He directs the Northwest Center to Reduce Oral Health Disparities. He holds academic appointments at Case Western University, University of Rochester, and University of California, San Francisco. He maintains a dental practice limited to the care of fearful patients and served as Director of the UW Dental Fears Research Clinic. Dr. Milgrom's work includes research on xylitol, the effectiveness of fluoride varnish and iodine in preschoolers, clinical efficacy and safety of diammine silver fluoride, motivational strategies to increase perinatal and well child dental visits in rural communities, and studies of cognitive interventions in pediatric and adult dental fear. The NIH, Maternal and Child Health Bureau, HRSA, and the Robert Wood Johnson Foundation support his work. Dr. Milgrom is author of 5 books and over 300 scientific articles. His latest book, Treating Fearful Dental Patients, was published in 2009.   Dr. Milgrom was Distinguished Dental Behavioral Scientist of the International Association for Dental Research for 1999. In 1999, and again in 2000, his work was recognized by the Giddon Award for research in the behavioral sciences in Dentistry. He received the Barrows Milk Award from IADR in 2000, recognizing his work for public health including the development of the Access to Baby and Child Dentistry (ABCD) program in Washington State. In 2003, Dr. Milgrom received a Special Commendation Award from the National Legal Aid and Defenders Association and the University of Washington Medical Center Martin Luther King, Jr. Community Service Award. In 2010, he received the Aubrey Sheiham Research Award for his work on xylitol. He serves on scientific review committees for the NIDCR, NIMHHD, NINDS, Center for Scientific Review at NIH and as a consultant to the FDA. In 2005, Dr. Milgrom was appointed the SAAD Visiting Professor of Pain and Anxiety Control at the King's College Dental Institute, University of London, UK for a six-year term. In 2008 he was awarded the degree of Doctor Honoris Causa from the University of Bergen, Norway in recognition of his work in social and behavioral dentistry. In 2012, he received the University of California, San Francisco Dental Alumni Gold Medal for his contributions to Dentistry. In 2012 he was also awarded the Norton Ross Award for Excellence in Clinical Research by the American Dental Association. In 2013, he was appointed to the Council of Scientific Affairs of the American Dental Association. In 2014, he received the Irwin M. Mandel Distinguished Mentor Award from the IADR. In 2015, he served as HMDP Expert in Dental Public Health for the Singapore Ministry of Health. Dr. Milgrom received his DDS from the University of California, San Francisco in 1972 and had a previous position at the National Academy of Sciences, Engineering, and Medicine. In the last few years, Dr. Milgrom has spoken to dental associations in Argentina, Colombia, Peru, Philippines, and USA and at major universities in USA and abroad.

The casseroles arrive. The flowers fill the house. For a few weeks, people show up.And then they don't.For most grieving people, the silence that follows the funeral is one of the loneliest parts of loss — and one of the least talked about. In this episode, Brian sits down with Kelly Edmondson, a trauma nurse, grief counselor, and Shining Light mother who lost her son Darius on January 3rd, 2023. Kelly spent years delivering devastating news to families in the ER. She thought she understood grief. Then it happened to her.What she discovered — in the gap between clinical knowledge and lived experience — became the foundation for Timely Presence, a year-long grief support service that sends meaningful, curated gifts on the days that hit the hardest: the first birthday, the first Mother's Day, the first wedding anniversary without your person.This conversation is for anyone who has ever wanted to show up for someone grieving but didn't know how — and for anyone who has felt the world move on while they were still standing in the wreckage.In this episode:How Kelly's son Darius lived — and what his life continues to meanWhat a career in trauma nursing teaches you about grief that lived experience still catches you off guardHow to deliver heartbreaking news with compassion and clarityWhy people go silent around grievers — and why silence does more damage than an imperfect wordWhat not to say (and what actually helps)How Timely Presence fills the gap in grief support after the funeralThe first gift Kelly ever sent — and the prisms it left dancing on a wallAbout Kelly EdmondsonKelly Edmondson is a nurse, grief counselor, and the founder of Timely Presence — a year-long grief gift service designed to show up for the bereaved on the dates that matter most throughout the first year of loss. Drawing from her background in trauma care and her own journey through child loss, Kelly created a service that didn't exist before: one that remembers, so the people around you don't have to carry it alone.

Hoyt Richards spent over two decades in Eternal Values, after first meeting the man who called himself Frederick von Mierers on a beach at the age of 16. Bring Me the Beauties: A Model Cult, out now on HBO Max with episodes releasing weekly, explores Hoyts' journey alongside other actors and models of the era, and Hoyt has spent the years since his exit dedicated to educating people about the red flags to watch out for so that they don't ever have to go through the experience that he did.When Hoyt finally left Eternal Values, at the age of 37 and years after Freddie himself had died, it wasn't because he had realised it was a cult; he had hit rock bottom, felt like he wasn't up to the group's work and was letting everyone down. Until he reconnected with fellow former member, actor and filmmaker Dar Dixon, and they started examining their experiences more deeply together, he really didn't know exactly what had happened to him – even though cult accusations had been brought against the group for years.LinksBring Me the Beauties: A Model Cult — HBO MaxEast Side Alien — by Marie Brenner, Vanity Fair, March 1990Hoyt Richards IMDB profileCredits:Produced by Sarah SteelMusic by Joe GouldYou can support Let's Talk About Sects here. If you have been personally affected by involvement in a cult, or would like to support those who have been, you can find support with or donate to Cult Information and Family Support if you're in Australia (via www.cifs.org.au), and you can find resources outside of Australia with the International Cultic Studies Association (via www.icsahome.com). If you or someone you know is in crisis or needs support right now, please call Lifeline on 13 11 14 in Australia, or find your local crisis centre via the International Association for Suicide Prevention website at www.iasp.info. Find Sarah's audiobook Do As I Say here. Hosted on Acast. See acast.com/privacy for more information.

Confronting the death of a loved one – or the end of our own life – can be frightening and overwhelming. And yet it is something that will happen to all of us. So how can we open up conversations about the way we want to die? Is it possible to avoid pain and suffering? And who are the people who will care for us in our final moments?Datshiane Navanayagam talks to two women who work in palliative care.Dr Tania Pastrana is from Colombia and is now based in Germany where she works for the International Association for Hospice & Palliative Care (IAHPC). And Dr Catherine Millington-Sanders is a general practitioner, and national lead in palliative care for the Royal College of GPs.Producer: Hannah Sander

On this week's episode of The Professional Noticer, Andy welcomes back Dr. Barbara "Dr. Barb" Rembiesa, founder and CEO of the International Association of IT Asset Managers (IAITAM), author of more than 50 business books, including her new book My Nothing Is Someone Else's Everything.  Tune in to hear Dr. Barb explain the powerful idea behind her new book—that what feels like "nothing" to you may be life-changing for someone else. Andy and Dr. Barb discuss discovering your unique "generosity signature," recognizing opportunities to serve others through your time, talents, finances, and relationships.  You'll also hear why paying attention to the needs of others may be one of the most valuable skills you can develop.  Whether you're a student, entrepreneur, parent, retiree, or simply someone looking to make a difference, this encouraging conversation is a reminder that you already possess something valuable to offer the world. Connect with Dr. Barb Online Website: https://drbarb.com Company website: IAITAM.org LinkedIn: https://www.linkedin.com/in/dr-barb/

In Episode 366 of The Canine Paradigm, we start with Pat giving an update on Remco's health battle and what the last stretch has looked like. From there, we move into a conversation that matters for every dog owner who has ever felt overwhelmed by advice online. We unpack the trainers who claim they have the one method that works on every dog. We discuss why that promise is so appealing, why it sells, and why it usually fails in the real world. Dogs differ in genetics, history, learning style, and emotional resilience, so a single approach will never fit every case without adjustment. We also talk about the types of people these claims prey on, such as owners who feel desperate, guilty, or confused, and who want certainty more than they want complexity. At the same time, we explore the audience these trainers actually attract, including those who want identity, belonging, and a simple story that makes them feel safe. This episode is a reminder that good training is not about magic methods. It is about judgement, clarity, and adapting to the dog in front of you. Further Details Are you in search of top-tier dog trainers and steadfast supporters of the Canine Paradigm? Below is a comprehensive list of individuals and businesses that stand by our mission, contribute to our operational costs, and make significant contributions to the canine community. Glenn Cooke oversees a wide range of canine-related services at Pet Resorts Australia. Pat Stuart offers a full suite of coaching and dog training services through Serious dog business We invite you to support our show and access exclusive content on our Patreon page. Your contributions directly support the show's ongoing production, and we deeply appreciate the wonderful community that has formed around it. If you're unsure how to contribute, feel free to reach out to us for assistance. Explore our complete range of merchandise at our Teespring store. You can also help by spreading the word within the canine community or suggesting special guests for future interviews. For information on how to listen to our podcast, please visit this link. Subscribe to our YouTube channel for video content and updates. If you enjoyed the podcast, we would greatly appreciate your reviews on iTunes, Spotify, and other podcast directories. Details on joining the International Association of Canine Professionals (IACP) can be found here. We highly recommend membership for anyone serious about advancing in the canine industry. We also encourage you to check out Dogs Playing for Life, a transformational rescue process making a positive impact on dogs across the USA. Support Our Supporters Narelle Cooke hosts her own podcast, Natural Health for People and Pets, available on all major podcast platforms. Be sure to listen in. For the finest human-grade supplements for your dogs, visit Canine Ceuticals. Now available in the USA. SHOW SPONSOR Jason Firmin of Einzweck Dog Quip is another proud SHOW SPONSOR. The innovative motorcycle dog kennel can be found at Rowdy Hound. SHOW SPONSOR For daycare and heartfelt training services, check out From the Heart Dog Training. SHOW SPONSOR Our dear friend and frequent contributor, Birdy O'Sheedy, can be found at The magic in dogs Special Thanks A huge thanks to all our contributing artists. Please take a moment to support their amazing work: Jane Stuart Avery Keller Zoie Neidy https://thecanineparadigm.com/2024/08/27/dog-trainers-forcing-narrative/

In Episode 365 of The Canine Paradigm, we work through listener questions and cover the kind of practical training issues that show up in real homes and real schedules. Along the way, we also talk about avoiding burn out, because training does not happen in a vacuum. If the handler is fried, the plan falls apart, so we discuss how to structure work in a way that is sustainable. Then, because our TCP listeners keep requesting it, we take a sharp turn into alien territory. The conversation moves from dog training to aliens, and the result is exactly what you would expect. It is part training Q and A, part sanity check, and part alien invasion detour that somehow still circles back to how people think, decide, and cope under pressure. If you want an episode that has useful takeaways but does not take itself too seriously, this one will land well. Further Details Are you in search of top-tier dog trainers and steadfast supporters of the Canine Paradigm? Below is a comprehensive list of individuals and businesses that stand by our mission, contribute to our operational costs, and make significant contributions to the canine community. Glenn Cooke oversees a wide range of canine-related services at Pet Resorts Australia. Pat Stuart offers a full suite of coaching and dog training services through Serious dog business We invite you to support our show and access exclusive content on our Patreon page. Your contributions directly support the show's ongoing production, and we deeply appreciate the wonderful community that has formed around it. If you're unsure how to contribute, feel free to reach out to us for assistance. Explore our complete range of merchandise at our Teespring store. You can also help by spreading the word within the canine community or suggesting special guests for future interviews. For information on how to listen to our podcast, please visit this link. Subscribe to our YouTube channel for video content and updates. If you enjoyed the podcast, we would greatly appreciate your reviews on iTunes, Spotify, and other podcast directories. Details on joining the International Association of Canine Professionals (IACP) can be found here. We highly recommend membership for anyone serious about advancing in the canine industry. We also encourage you to check out Dogs Playing for Life, a transformational rescue process making a positive impact on dogs across the USA. Support Our Supporters Narelle Cooke hosts her own podcast, Natural Health for People and Pets, available on all major podcast platforms. Be sure to listen in. For the finest human-grade supplements for your dogs, visit Canine Ceuticals. Now available in the USA. SHOW SPONSOR Jason Firmin of Einzweck Dog Quip is another proud SHOW SPONSOR. The innovative motorcycle dog kennel can be found at Rowdy Hound. SHOW SPONSOR For daycare and heartfelt training services, check out From the Heart Dog Training. SHOW SPONSOR Our dear friend and frequent contributor, Birdy O'Sheedy, can be found at The magic in dogs Special Thanks A huge thanks to all our contributing artists. Please take a moment to support their amazing work: Jane Stuart Avery Keller Zoie Neidy