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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

Host: Lalo Solorzano, Andy Shiles Guest(s): Jen Diaz Published: July 9, 2026 Length: 31:14 Presented by: Global Training Center Summary The Consumer Product Safety Commission is entering a new era of import enforcement, and importers need to pay attention. In this episode of Simply Trade, Lalo Solorzano and Andy Shiles welcome back trade attorney Jen Diaz for a timely conversation about CPSC's move into mandatory electronic filing for Certificates of Compliance. Jen breaks down what importers must understand regarding the July 8, 2026 effective date, including when products require testing, what certificates must include, and why relying on assumptions or HTS codes alone can create serious risk. From children's apparel and toys to bicycles, helmets, mattresses, rugs, furniture, jewelry, and other consumer products, the discussion makes clear that CPSC requirements can reach far beyond what many companies expect. The episode also highlights practical steps importers can take now: use CPSC's Regulatory Robot, confirm whether a Children's Product Certificate or General Certificate of Conformity is required, work with approved testing labs, and provide certificate data to brokers before entry. For companies importing regulated consumer products, this is not just another paperwork change. It is a compliance checkpoint that could determine whether goods move smoothly or get stopped at the border. Main Topic / Discussion This episode focuses on CPSC's mandatory eFiling requirement for Certificates of Compliance and what it means for importers of regulated consumer products. Jen Diaz explains how the requirement fits into a broader enforcement trend, why importers should conduct product-level compliance reviews before shipping, and how tools like CPSC's Regulatory Robot can help companies identify applicable safety rules, testing obligations, and certificate requirements. The discussion also explores potential delays, cargo holds, laboratory testing concerns, HTS flagging, broker communication, and the importance of maintaining strong records before goods arrive in the United States. Key Takeaways • CPSC eFiling becomes a major compliance requirement for importers of regulated consumer products beginning July 8, 2026. • Importers should not rely only on HTS codes; they should use the CPSC Regulatory Robot to determine whether specific products are subject to CPSC rules. • Products that may trigger CPSC requirements include children's apparel, toys, bicycles, helmets, mattresses, rugs, imitation jewelry, pacifiers, furniture, and other general consumer goods. • Importers may need either a Children's Product Certificate or a General Certificate of Conformity, depending on the product and applicable safety rules. • Certificate data should be ready before importation and provided to brokers early so it can be filed properly with the entry. • Testing labs matter. Importers should verify that required testing is performed by approved laboratories and keep strong documentation in case CPSC questions the shipment. • Compliance should happen before sales, manufacturing, and shipping—not after cargo is already on hold. Resources & Mentions • Global Training Center • CPSC Regulatory Robot: Safer Products Start Here • CPSC Guidance and HTS List for Filing Electronic Certificates • CPSC eFiling Resources Credits Host: Lalo Solorzano – LinkedIn Andy Shiles – LinkedIn Guest(s): Jen Diaz – LinkedIn Producer: Lalo Solorzano

The Cycling Tech Brief: the cycling tech that actually matters today — and whether to update, wait, or ignore.CPSC issues second Ridstar warning in three months — this time front wheels are detaching mid-ride — If you own any Ridstar Q20, Q20 Lite, or Q20 Pro: stop riding immediately, remove and safely dispose of the battery, and do not sell or give the bike away.Cube recalls all 2026 hybrid e-bikes with ACID Carbon Hybrid cranks — aluminium pedal inserts can suddenly detach — Stop riding your 2026 Cube hybrid immediately, check your frame number at cube.eu, and book your free crank replacement at an authorised dealer — do not ride until the swap is done.Garmin Edge Q2 2026 update (v31.30): on-device gear tracking and Bosch Smart System live data land across the full current Edge line — Apply the free update now — Gear Tracking works even if you don't have a Bosch e-bike, and it's worth setting up component baselines before your next chain replacement.Daily cycling intelligence from SEMIPRO CYCLING, produced with AI-assisted research, scripting, and synthetic voice.

The Cycling Tech Brief: the cycling tech that actually matters this week — and whether to update, wait, or ignore.Strava launches official MCP connector giving paid subscribers direct conversational access to their full training history via Anthropic's Claude — Monitor — if you're a paid Strava subscriber and want AI-assisted training analysis, the connector is live now and worth experimenting with; just know it's read-only and Claude-only for the moment.CPSC warns riders to immediately stop using Ridstar Q20 and Q20 Pro e-bikes — 11 fire incidents confirmed, manufacturer refuses recall — Don't buy — if you own a Ridstar Q20 or Q20 Pro, stop riding and charging it immediately, remove the battery, and contact your local household hazardous-waste program for disposal.Florida man sues Amazon and Chinese e-bike brand Bigniu after battery explodes during charging, causing severe burns and a residential fire — Monitor — if you own a Bigniu BG10 or any high-wattage moped-style 'e-bike' bought through Amazon without UL or equivalent certification, stop charging it unattended and check for any CPSC action.Garmin kicks off its biggest annual spring sale — deepest-ever discount on Fenix 8 Pro — while Apple's watchOS 27 (announced at WWDC) brings cycling power zone APIs and untethered Workout Buddy to the Apple Watch ecosystem — Monitor — if you've been waiting to buy a Fenix 8 Pro or Edge 1050, this is the window; for Apple Watch cyclists, wait for watchOS 27 public beta in July before committing to new workflows.TrainingPeaks-adjacent editorial debate: FTP vs. Critical Power — are coaches and platforms measuring the same physiological ceiling? — Monitor — no platform change to act on today; but if your training zones have felt off, ask your coach whether a CP test protocol would give you more accurate data than your current FTP estimate.Daily cycling intelligence from SEMIPRO CYCLING, produced with AI-assisted research, scripting, and synthetic voice.

As a kid, host Chris Byrne loved science toys. People whoknow him know that he especially liked making things that blew up. However, since about 1972, thanks to the CPSC, toy science kits haven't included componentsfor making explosives. Still, Chris and his friends had it safer than kids in 1950 who played with the Gilbert Atomic Energy lab that had realuranium in it.Yet, even without toxicity or the chance tolose digits, kids today still love science, and Blue Marble is building exciting ways for kids to discover and create the foundation for future learning. Jared Wolfson is the CEO of Blue Marble, and they're known for National Geographic NASA, Disney toys and more—all with a science and discovery bent. In this episode, Chris and Jared talk about the company, their products, Jared's dynamic approach to retail—and why Chris still wants to blow stuff up.

The Cycling Tech Brief: the cycling tech that actually matters this week — and whether to update, wait, or ignore.Wahoo KICKR v6 firmware 5.6.13 introduced random power/connection drops in Zwift — no official fix yet — Hold on updating to 5.6.13 if you can; if already updated, file a Wahoo support ticket and monitor both the Wahoo and Zwift forums for a hotfix before your next important ride or race.CPSC issues stop-use warning for CARBO folding e-bikes Model X and Model S — manufacturer has refused to offer a remedy — If you own a CARBO Model X or Model S, stop riding it immediately; there is currently no manufacturer-provided repair or refund path, so contact the CPSC directly to report your unit.Strava paywalls its developer API at $11.99/month, citing AI scrapers — open-source ecosystem rattled ahead of IPO — If you use a third-party Strava analysis tool, check whether it still works and whether its developer has committed to paying the new fee; mainstream wearable sync is unaffected.JetBlack Victory gains wired USB-C connection to Zwift with firmware 4.28 — first trainer on the market to do so — Victory owners on Windows or macOS who have wireless drop issues should update to firmware 4.28 and give USB-C a try; for everyone else, wireless still works fine.Garmin Connect 5.26 APK teardown surfaces 'Enduro_4' device entry — no spec details or launch date confirmed — Monitor Garmin's outdoor announcement cadence around August 2026 before buying an Enduro 3 or a competing ultramarathon watch; no action needed now.Daily cycling intelligence from SEMIPRO CYCLING, produced with AI-assisted research, scripting, and synthetic voice.

Mandatory CPSC efiling begins July 8th. While there are no new rules associated with this deadline, the requirement that certificates be filed electronically may prove challenging for importers who not have the proper information - or visibility into their supply chains - to compile and issue certificates of conformity. 

Host: Lalo Solorzano, Denise Smalls-Altagracia Published: June 2, 2026 Length: 20:17 Presented by: Global Training Center Summary In this Simply Trade Tips episode, Lalo Solorzano and Denise Smalls-Altagracia break down one of the most important but often misunderstood parts of U.S. import compliance: Partner Government Agencies, or PGAs. While many importers focus mainly on CBP, duties, tariffs, and broker filings, Denise explains why customs clearance is often much bigger than paperwork and duty payments. PGAs regulate the products themselves, covering areas such as public health, safety, agriculture, environmental standards, transportation, and security. That means an entry may look correct from a customs perspective but still be delayed, detained, or refused if agency-specific requirements are missed. Denise also highlights common agencies importers may encounter, including FDA, USDA, APHIS, EPA, and CPSC, and explains why documentation, product classification, and early planning are essential. This episode matters because PGA compliance directly affects speed, predictability, cost control, and supply chain reliability. Importers who understand agency requirements before shipments move are far better positioned to avoid costly surprises and keep trade moving. Main Topic / Discussion This episode focuses on Partner Government Agencies and their role in the import process. Lalo and Denise explain that CBP may serve as the primary border authority, but PGAs are the subject matter experts that determine whether certain products meet U.S. requirements and can legally enter commerce. The discussion covers what PGAs are, why they matter, which agencies importers commonly encounter, what documentation may be required, and how PGA compliance should be treated as a business function rather than a last-minute customs task. Key Takeaways • PGAs are federal agencies that work with CBP to regulate specific imported products. • Import compliance is not only about duties, tariffs, and customs paperwork. • Agencies such as FDA, USDA, APHIS, EPA, and CPSC may require additional documentation or review depending on the product. • Missing or inaccurate PGA information can lead to delays, detention, refusal, penalties, or supply chain disruption. • Strong PGA compliance improves shipment speed, predictability, cost control, and business reputation. • Companies should identify agency requirements before purchase orders are issued or goods are shipped. Resources & Mentions • Global Training Center • Lalo Solorzano on LinkedIn • Denise Smalls-Altagracia on LinkedIn • Import Training Courses from Global Training Center Credits Host: Lalo Solorzano – LinkedIn Denise Smalls-Altagracia – LinkedIn Producer: Lalo Solorzano

In Episode 341, Kestrel welcomes Dr. Joanne Brasch, the Assistant Director at the California Product Stewardship Council (CPSC), to the show. A network of local governments, non-government organizations, businesses, and individuals supporting policies and projects where producers share in the responsibility for managing problem products at their end of life, CPSC is California's thought leader and expert on Product Stewardship and the Extended Producer Responsibility (EPR) movement. "We're most proud of our textile EPR program because we achieved a lot in SB 707 that set a new level, a new generation of EPR programs that take a higher priority and implement a lot more reuse and repair throughout the program." -Joanne THEME — EXTENDED PRODUCER RESPONSIBILITY & TEXTILE WASTE DIVERSION This episode is the second in our two-part series dedicated to exploring some of the layers around Extended Producer Responsibility, or EPR, and Textile Waste Diversion.  In line with this conversation, I want to share about an upcoming event I'm collaborating on that's taking place in Los Angeles on June 10th. The Recovered Textile Exhibit is hosted by the City and County of Los Angeles, the California Product Stewardship Council, and the LA Cleantech Incubator. It's funded by CalRecycle, LA Sanitation, and others, and is in collaboration with Afflare.co and Fashion Is Outrageous.  There will be keynote speakers, discussions, and interactive activities that my cofounder Gabi and I helped develop, all with a focus on textile circularity and diverting textiles from the landfill. Additionally, the PRO (Producer Responsibility Organization), Landbell, will be present at the event. If you're interested in attending, you can RSVP here. If you're able to join, I hope to see you there! On the last show, we touched on some of the big picture ideas around EPR, and many of the questions around how we can make these circular systems practical.  On this week's episode, we're diving deep into the first-ever textile EPR bill in the U.S., SB 707: The Responsible Textile Recovery Act of 2024. While this isn't the first EPR policy to hit California or the nation, it is the first to cover TEXTILES.  I chat with someone who played an integral role in the legislative process for the bill – we dive into more on their open-collaborative approach and the importance of community-informed programs, we explore what the "most diverse board requirements" means within the context of SB 707, we learn about how feedback played a distinct role in the legislative process including some from the Or Foundation, and we discuss some of the definitions within the bill like REUSE and RECYCLE, with a focus on unpacking the definition of REPAIR, which is the first global definition that includes upcycling. You will hear words and phrases like PRO, Needs Assessment, dynamic, legislative and regulatory process, and more. We do our best to help contextualize these definitions along the way, but if you have questions, let me know. I don't want this to feel like another policy conversation that leaves you in the dark – I want it to feel like you can feel welcomed into it, as this is a monumental bill for California and the sustainability and fashion industry as a whole. One of my favorite things about this bill is that it's DYNAMIC, meaning it will change over time, and be rewritten every 5 years, based on key findings and learnings. So remember – your voice can play an important role in how this bill continues to evolve moving forward.  Also, to note – when this episode was recorded, our guest's new title had not yet been released publicly. Congrats to her, as she is now the Assistant Director – you'll actually hear her reveal it to us later on in the episode.   Quotes and links from our conversation: "If we're shopping in a different way 20 years from now, this program can adapt to that because the plan is rewritten every five years and has evidence-based decision-making provisions within the program." -Joanne on why SB 707 being a dynamic bill matters "I think the open collaborative approach has really been making sure everyone is using the same language and understands the same process so we can get the best engagement now." -Joanne on CPSC's approach to developing community-informed programs "We know repair costs more. We know that it's labor intensive, but we also know, you know, it's a greater GHG reduction and opportunity to again create new products from existing materials." -Joanne on the importance of incentivizing repair in the bill Recovered Textile Exhibit, June 10th (2026) in Los Angeles, CA California Product Stewardship Website CPSC Instagram

The insurance industry is shifting fast, and this episode of RiskCellar doesn't let a single headline slide. Hosts Brandon Schuh and Nick Hartmann are back in the cellar breaking down three of the most talked-about stories in the industry right now. The Rad Power Bikes wrongful death lawsuit and what it means for micro-mobility product liability, the escalating legal fallout from Howden's alleged broker raid on Brown & Brown, and the accelerating softening of the reinsurance market that's reshaping valuations across the board. Plus a deep dive on the collapse of litigation finance as an asset class, and why that might matter more than anyone's admitting.Brandon brings his front-row seat at the Christensen Group specialty desk to every story, and Nick matches him stride for stride with sharp market observations from the field. The episode covers the wrongful death suit filed by Shannon Stephens against Rad Power Bikes after an e-bike lithium-ion battery fire in an Alabama garage on January 3, 2025, killed her husband, Dr. Keith Stephens. Brandon unpacks the legal complexity of successor liability after Rad Power's bankruptcy, notes that the company's assets were reacquired for roughly $13 million, and questions whether the evidence standard will meet the plaintiff's burden given expert testimony that focused on design containment, not outright defect. The CPSC's intervention requiring UL certification for e-bike batteries is also examined in the context of legacy stock.The second half of the episode is equally dense. Brandon and Nick dissect the Brown & Brown vs. Howden broker raid litigation, including a new Minnesota temporary restraining order barring 16 former Brown & Brown employees now at Howden from soliciting clients or recruiting staff. With $31 million in business allegedly lost and Howden carrying roughly $5 billion in total debt against a $3 billion revenue base, the guys ask tough questions about runway and financial viability. They also explore the quiet implosion of litigation finance as an asset class, Burford Capital's 47% stock drop on a single day after a $16.1 billion Argentina judgment was overturned in a US appeals court being the centerpiece moment, alongside JP Morgan's latest analysis calling for continued reinsurance price softening into 2027. It's a dense, entertaining, and genuinely insightful look at where the market stands right now.Key Takeaways:Rad Power Bikes faces a wrongful death lawsuit tied to a lithium-ion battery thermal runaway event in January 2025Successor liability questions are unresolved, old entity is defunct; assets were acquired for ~$13M in bankruptcyBrown & Brown obtained a Minnesota TRO barring 16 former employees at Howden from soliciting clients or staffBrown & Brown disclosed ~$31M in lost business from the Howden broker raid on a recent earnings callHowden carries approximately $5B in debt against a ~$3B broker revenue base, a tight leverage positionChapters:00:00 Introduction01:55 Banter, Travel & Industry Events09:45 Rad Power Bikes Wrongful Death Lawsuit14:05 E-Bike Battery Safety, CPSC & UL Certification17:25 Brown & Brown vs. Howden, Broker Raid Update20:55 Howden's Debt Load & Financial Runway24:05 Property Rate Softening, Real Numbers from the Field26:40 Deductible Buy-Down Policies & Adverse Selection Risk29:45 Litigation Finance Collapse, Burford Capital & Argentina37:40 JP Morgan: Reinsurance Softening Into 202739:15 Three Truths and a Lie: Space Edition47:00 AI at Insurance Innovators Conference51:25 Data Centers in Space? Cooling Logistics Debate52:45 Wrap-Up & CheersConnect with Risk Cellar:Website: https://www.riskcellar.comBrandon SchuhLinkedIn: https://www.linkedin.com/in/brandon-stephen-schuhInstagram: https://www.instagram.com/schuhpapaFacebook: https://www.facebook.com/profile.php?id=61552710523314Nick HartmannLinkedIn: https://www.linkedin.com/in/nickjhartmann

Host: Cindy Allen Published: May 2026 Length: ~12 minutes Presented by: Global Training Center It's Time to Go: Refunds, Trade Policy, and What Comes Next In this episode of Simply Trade: Cindy's Version, Cindy Allen walks listeners through a busy week in international trade while using Taylor Swift's “It's Time to Go” as the theme. She covers the latest Court of International Trade ruling on Section 122, the ongoing CAPE refund process, Section 301 hearings, possible changes to Section 232 tariffs, and new concerns around CPSC data requirements. The episode also touches on fraud prevention, ACE help desk issues, and why it may be time to return to more traditional trade processes with clearer timelines and checks and balances. What You'll Learn in This Episode Court and tariff updates Cindy explains the recent CIT ruling on Section 122 and how it may affect future trade actions. She also discusses the possibility of further appeals and what that could mean for importers. CAPE refund progress The episode shares encouraging news that CAPE refunds are reportedly hitting bank accounts. Cindy also covers the 45-day review window and the safeguards CBP is using to catch duplicate or mistaken filings. Fraud and cybersecurity concerns Cindy highlights CBP's webinar and CSMS update about fraud in the CAPE process, including the need to verify bank details and watch for duplicate filings. She notes that many of the problems CBP is seeing are clerical or procedural rather than outright fraud. New compliance pressure The conversation shifts to the upcoming CPSC data requirements and why many importers may not yet be prepared. Cindy explains that the timeline is tight and that companies should work closely with brokers to get ahead of the new filing expectations. Why “It's Time to Go” fits Cindy uses the Taylor Swift song to reflect the need to move away from overly novel tariff approaches and back toward more traditional trade processes. Her message is that trade needs time, structure, and predictability in order to plan and adjust effectively. Credits Host: Cindy Allen Presented by: Global Training Center Subscribe & Follow Stay up to date with the latest in global trade:

Le Club Populaire des Sports de Combat propose des entraînements de boxe pour touxtes au sein du Pavillon Simone Weil. L'association basée aux Grottes souhaite ainsi ouvrir la piste de réflexion quant à l'aspect «combattant» de la philosophe. Spécialisé dans le muay-thaï, le centre encourage les débutant·es à tester ce […] The post L'interview en apesanteur: CPSC first appeared on Radio Vostok.

This week on Electrek's Wheel-E podcast, we discuss the most popular news stories from the world of electric bikes and other nontraditional electric vehicles. This time, that includes new electric bicycles from brands like Ride1Up and Heybike, plus comeback stories from Juiced Bikes and Rad Power Bikes, a look at how the answer to high gas prices might have been parked in the corner of your garage this whole time, and more. The Wheel-E podcast returns every two weeks on Electrek's YouTube channel, Facebook, Linkedin, and Twitter. As a reminder, we'll have an accompanying post, like this one, on the site with an embedded link to the live stream. Head to the YouTube channel to get your questions and comments in. After the show ends, the video will be archived on YouTube and the audio on all your favorite podcast apps: Apple Podcasts Spotify Overcast Pocket Casts Castro RSS We also have a Patreon if you want to help us to avoid more ads and invest more in our content. We have some awesome gifts for our Patreons and more coming. Here are a few of the articles that we will discuss during the Wheel-E podcast today: SUPER73 debuts new e-bike lineup with modular batteries and commuter focus This beautiful Icelandic e-bike is taking on the premium eMTB world Cheap e-bike maker refuses recall as CPSC tells riders to get rid of it immediately I took a city e-bike out extreme off-roading. Here's what happened Heybike Villain review: 4.2kW pit bike hits 45+mph for $1300 Honda's new full-size electric motorcycle snags awards on way to production The US's only true street-legal electric micro-car just got big upgrades Here's the live stream for today's episode starting at 9:00 a.m. ET (or the video after 10:00 a.m. ET): https://www.youtube.com/live/aoEdoh-JRmY

The CPSC recently posted to its website a list of about 600 HTSUS numbers that it believes are likely to include products for which certificate of compliance information will have to be submitted electronically beginning July 8.

The popular app Instacart charged customers different prices on the same items bought from the same stores, an investigation from Consumer Reports and progressive think tank Groundwork Collaborative found. Instacart responded, saying, "These tests are not dynamic pricing. Prices never change in real time," adding, "retailers have long tested prices in their physical stores," and saying that 10 retail partners do so in the app. Jo Ling Kent has more. Following the death of her daughter, a mother turned her grief into action to help make button batteries harder for kids to access - but the law that passed didn't apply to toys. She tried to get the Consumer Product Safety Commission to apply the standard to toys, but the effort stalled over the summer. The agency has lost key leadership and staff, and now two former CPSC commissioners are issuing warnings to consumers. The iconic movie "Waiting to Exhale," starring Angela Bassett, Whitney Houston, Loretta Devine and Lela Rochon premiered 30 years ago this month. The film, which had an all Black cast and focused on female empowerment, was a box office hit. "CBS Mornings" co-host Gayle King spoke with the stars of the film about the movie and what Houston would think. To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

Burnout prevention advice rarely works for practice owners because it ignores the structural realities of running a healthcare business. Generic wellness tips like "set better boundaries" or "take more vacations" fall flat when you're responsible for payroll, team development, and practice sustainability. In this episode, Tracy breaks down why traditional burnout prevention fails and shares three strategic pillars that actually address the root causes of depletion for independent practice owners.  Click here for full show notes  Is your practice growth-ready? See Where Your Practice Stands: Take our Practice Growth Readiness Assessment  Drawing from a powerful CME wellness workshop in Silicon Valley, Tracy explores the generational divide emerging around burnout—younger physicians drawing hard lines about sacrifice while seasoned physicians grapple with whether to perpetuate the moral injury they've experienced. The conversation reveals how we've normalized exhaustion as a badge of honor and built healthcare systems that require sacrifice. But it doesn't have to be this way.  Episode Highlights:  Why employed physicians may actually be at higher risk for burnout than practice owners—and what that reveals about autonomy and agency  The "frog in boiling water" reality: how for-profit insurance since the 1970s has gradually conditioned physicians to accept unsustainable conditions  Time Leadership vs. Time Management: why optimizing your calendar won't solve burnout if you're working on the wrong things  The $10 vs. $100 task framework: how to stop spending expert-level time on basic tasks  Three essential questions for sustainable growth decisions: "Only me? Today? Someone else?"  Why "slow down to speed up" isn't just a platitude—it's the foundation of strategic practice leadership  How clarity creates speed while haste creates chaos (and why American hustle culture gets this backwards)  The connection between business systems and wellbeing: why you can't separate practice sustainability from personal sustainability  Memorable Quotes:  "Time management is about getting more done. Time leadership is about getting the RIGHT things done."  "Real leadership is building systems that don't depend on your heroic effort."  "Growth without sustainability isn't growth—it's extraction."  "Clarity equals speed. Lack of clarity equals chaos and plate-spinning."  "Prevention isn't about bubble baths and boundaries. It's about strategic changes to how you lead your time, build your systems, and approach growth."  "You didn't create this system. You've been adapting to survive in it—one small compromise at a time, one policy change at a time, one administrative burden at a time."  "If 'all hands on deck' is happening weekly, it's time to re-examine some things."  This episode is essential listening for practice owners who recognize themselves in the exhaustion phase and want to make strategic changes before burnout progresses. Prevention is so much easier than recovery—and it starts with understanding that your wellbeing and your business success aren't separate challenges.  Tracy's Bio:  Tracy Cherpeski, MBA, MA, CPSC (she/her/hers) is the Founder of Tracy Cherpeski International and Thriving Practice Community. As a Business Consultant and Executive Coach, Tracy helps healthcare practice owners scale their businesses without sacrificing wellbeing. Through strategic planning, leadership development, and mindset mastery, she empowers clients to reclaim their time and reach their potential. Tracy designs and delivers CME-accredited wellness retreats and workshops in partnership with medical associations, bringing burnout prevention and sustainable practice management to physicians nationwide. Based in Chapel Hill, NC, Tracy serves clients worldwide and is the Executive Producer and Host of the Thriving Practice podcast. Her guiding philosophy: Survival is not enough; life is meant to be celebrated.  Connect With Us:  Be a Guest on the Show  Thriving Practice Community  Schedule Strategy Session with Tracy  Tracy's LinkedIn  Business LinkedIn Page 

Episode: NCBFAA Spotlight: Understanding the Regulatory Agencies Committee (RAC) Host: Lalo Solorzano Guest(s): • Michael Lahar – Chair, NCBFAA RAC (LinkedIn) • Adam Lees – Vice Chair, NCBFAA RAC (LinkedIn) • Cindy Thomas – Counsel, NCBFAA RAC (LinkedIn) Published: November 2025 Length: ~34 minutes Presented by: Global Training Center

RiskCellar is back with episode 70, marking a major milestone for hosts Brandon Schuh and Nick Hartmann as they dive into the most pressing insurance broker consolidation trends shaping 2025. The episode kicks off with major industry news on the Baldwin and CAC merger, a billion-dollar deal that reflects ongoing consolidation in the insurance brokerage space. While the acquisition comes in smaller than recent mega-deals, the merger creates what Baldwin calls the largest majority colleague-owned publicly traded insurance broker, signaling continued market consolidation and M&A activity that benefits independent brokers.The hosts explore critical developments in insurance technology and autonomous vehicle safety, including Tesla's recent sensor and camera upgrades designed to improve their self-driving system performance in challenging conditions. The conversation reveals how insurance industry players are monitoring autonomous vehicle advancements, telematics driver monitoring programs, and commercial auto liability trends, including the growing use of cameras and driver scoring to reduce claims. They also discuss the implications of unlimited liability insurance in the UK market and significant pricing differences in Canadian insurance, where casualty risk pricing can be 40% lower than US market rates.A major highlight involves the Rad Power bike battery recall and CPSC safety concerns, where the federal agency issued a unilateral opinion declaring all RAD batteries defective without conducting independent testing. The hosts debate the fairness of this regulatory action, noting that Rad Power faces potential bankruptcy from a million-unit recall despite only 31 documented incidents causing $750,000 in cumulative damage. The episode also covers Lloyd's of London CEO John Neal's resignation following an inappropriate workplace relationship scandal, insurance industry news on Ryan Specialty's new public sector MGU launch, Howden's aggressive hiring expansion, and a playful segment on insurance truths and lies featuring alien abduction coverage.Tesla's autonomous vehicle technology still lacks adequate camera systems compared to competitors like Waymo, delaying full self-driving capabilityTelematics and driver monitoring are becoming essential risk management tools for commercial auto liability, despite employee privacy concernsCPSC regulatory actions can devastate companies without scientific testing, raising questions about fairness and due process in product safety decisionsInternational insurance markets show dramatic pricing variations, with Canadian and UK markets offering 02:00 Thanksgiving Turkey Cooking Methods & Holiday Stories 03:30 Episode Celebration & Drinking Toast 04:35 Baldwin & CAC Merger: $1B Insurance Broker Consolidation 09:25 Ryan Specialty's Public Sector MGU Launch10:00 Public Sector Insurance Competition & School Bidding Challenges 11:15 Canadian Insurance Market & International Pricing Differences 14:15 Tesla Autonomous Vehicle Camera Upgrade Challenges 16:00 Chevrolet Diesel Truck & Frank Cruz Shout Out 16:30 Howden Hiring Expansion & Legal Costs Impact 8:50 John Neal Lloyd's CEO Scandal & AIG Withdrawal 21:40 New Zealand Kiwi Cultural Reference & Gender Diversity in Insurance 23:25 Rad Power Battery Recall & CPSC Regulatory Overreach 26:00 Battery Incident Statistics & Scientific Method Concerns 28:15 Dog Interruption & Personal Stories29:10 Don Julio Tequila & Podcast Memorabilia 31:30 Alien Abduction Coverage Predictions for 2026 32:50 Recall of the Week: Ozark Trail Camping Stove 35:25 Upcoming Guests & Litigation Funding Panel Discussion Connect with RiskCellar:Website: https://www.riskcellar.com/Brandon Schuh:Facebook: https://www.facebook.com/profile.php?id=61552710523314LinkedIn: https://www.linkedin.com/in/brandon-stephen-schuh/Instagram: https://www.instagram.com/schuhpapa/Nick Hartmann:LinkedIn: https://www.linkedin.com/in/nickjhartmann/

This week on Electrek's Wheel-E podcast, we discuss the most popular news stories from the world of electric bikes and other nontraditional electric vehicles. This time, that includes Tern's NYC e-bike delivery fleet surpasses 1 million miles, the CPSC has a stark warning about Rad's e-bike batteries, what parents should know if their kid wants a Sur Ron e-moto, JackRabbit MG Doble review, Strutt's EV1 electric mobility chair, and more. The Wheel-E podcast returns every two weeks on Electrek's YouTube channel, Facebook, Linkedin, and Twitter. As a reminder, we'll have an accompanying post, like this one, on the site with an embedded link to the live stream. Head to the YouTube channel to get your questions and comments in. After the show ends, the video will be archived on YouTube and the audio on all your favorite podcast apps: Apple Podcasts Spotify Overcast Pocket Casts Castro RSS We also have a Patreon if you want to help us to avoid more ads and invest more in our content. We have some awesome gifts for our Patreons and more coming. Here are a few of the articles that we will discuss during the Wheel-E podcast today: Tern's NYC delivery e-bike fleet crosses 1 million miles, with some bikes rolling past 30k CPSC warns Rad Power Bikes owners to stop using select batteries immediately due to fire risk JackRabbit MG Doble review: The 2-person ‘e-bike' that's way too fun Parents, here's what to know if your kid wants a Sur Ron or high power e-bike Yamaha launches new electric scooter with Honda's swappable batteries Why LiveWire's new electric maxi-scooter could finally make Americans fall in love with scooters I tried the Strutt EV1 – the autonomous robot-chair hybrid that might redefine mobility Here's the live stream for today's episode starting at 9:00 a.m. ET (or the video after 10:00 a.m. ET): https://www.youtube.com/live/2ZCweu9wD5c

Practice ownership comes with a unique paradox: the autonomy you fought for also means carrying the full weight of clinical work, business management, and leadership. In this episode, Tracy breaks down the World Health Organization's three-phase burnout framework and reveals why nearly half of all physicians are experiencing burnout symptoms—and what makes practice owner burnout distinctly different and dangerous.  Click here for full show notes  Is your practice growth-ready? See Where Your Practice Stands: Take our Practice Growth Readiness Assessment  Episode Highlights  The WHO's three phases of burnout: exhaustion, cynicism, and reduced professional efficacy—and why recognizing which phase you're in determines what help you need  Why American culture makes Phase 1 exhaustion nearly impossible to recognize (hint: we've been conditioned to see depletion as a badge of honor)  The shocking global statistics: from 43% burnout rates in the US to 66% emotional exhaustion among Portuguese physicians  Why practice owner burnout can't be solved with employed physician solutions—you can't "delegate up" when you ARE the up  Real examples of what each phase looks like: from sitting in your driveway without energy to enter your home, to thinking cynical thoughts that horrify you  The $4.6 billion annual cost of physician burnout to the US healthcare system—and the incalculable personal cost to you, your practice, and your family  Why autonomy alone isn't enough: the protection it provides versus the isolation and weight it creates  Memorable Quotes  "Burnout is not a personal failing. It's a predictable occupational phenomenon with identifiable phases."  "Phase one exhaustion is your prevention opportunity. This is where you still have an easy exit ramp. If you catch yourself and actually address it—not by doubling down, but by making strategic changes—prevention strategies actually work."  "You can't think your way out of cynicism using the same thinking that got you there."  "Your practice will survive a few weeks without you, but you might not survive continuing to push through phase three."  "When you're the owner, you can't just leave. Your practice is your livelihood, your investment, and your legacy."  "You are not broken. You are not weak. You are responding predictably to chronic stress that hasn't been successfully managed."  Closing  Understanding burnout isn't about labeling yourself—it's about getting clear on what level of support you actually need. Whether you're in the prevention zone, need intervention, or are facing a crisis, there's a path forward. Join us next episode as we dive into the strategic prevention approaches that work specifically for independent practice owners.  Tracy's Bio:  Tracy Cherpeski, MBA, MA, CPSC (she/her/hers) is the Founder of Tracy Cherpeski International and Thriving Practice Community. As a Business Consultant and Executive Coach, Tracy helps healthcare practice owners scale their businesses without sacrificing wellbeing. Through strategic planning, leadership development, and mindset mastery, she empowers clients to reclaim their time and reach their potential. Based in Chapel Hill, NC, Tracy serves clients worldwide and is the Executive Producer and Host of the Thriving Practice podcast. Her guiding philosophy: Survival is not enough; life is meant to be celebrated.  Connect With Us:  Be a Guest on the Show  Thriving Practice Community  Schedule Strategy Session with Tracy  Tracy's LinkedIn  Business LinkedIn Page 

In this candid snack episode, Tracy sits in the interview seat as Miranda explores the practical reality of AI for private practices. Following Tracy's conversation with David Herman about AI in dental marketing, this episode addresses what practice owners are really asking about AI implementation, where these tools genuinely help, and the critical questions to ask before investing time and resources. Tracy shares insights from a recent burnout workshop with Silicon Valley physicians and offers a framework for thinking strategically about technology that supports—rather than replaces—human connection in healthcare.  Click here for full show notes  Episode Highlights  AI's real role in healthcare: Where these tools genuinely help (administrative tasks, scribing) versus where physicians have serious concerns (primary care AI models)  The "band-aid on a fixed system" reality: Why AI tools can reclaim time but don't address the systemic commodification of healthcare delivery  Implementation without drowning: Tracy's framework for introducing new technology when you're already stretched thin, including the time leadership quadrant approach  Real physician experiences: Stories from Tracy's primary care doctor and Miranda's daughter's cardiologist about AI scribing tools reclaiming 3-4 hours weekly  The marketing-systems connection: Why beautiful marketing campaigns fail when practices lack the infrastructure to handle increased inquiry volume  Questions to ask before implementing AI: What end result you want, how to ensure HIPAA compliance, where volume will come from, and whether your team is resourced for success  Memorable Quotes  "It's not about fear of being replaced, it's fear about causing harm."  "The system isn't broken—it's fixed. One quarter of a degree at a time, the temperature has been increased to the point where it became normalized."  "These people go to school for 8, 12 or more years to practice medicine and are now well paid but not well enough for the amount of hours they put in—business administrators, basically admin paper pushers."  "We want all of our providers to be well rested, to have bandwidth, to not have to be reactive all the time. We want that as patients."  "If we're not going to be human, then what's the point?"  "Our clients do not love slowing down, but it's the way that we can gain clarity."  Closing  AI represents both genuine opportunity and potential pitfall for independent practices. The key lies not in whether to adopt these tools, but in approaching implementation with clear strategic thinking about your desired outcomes, team capacity, and practice ecosystem. Before investing in any AI solution, take time to work on your business from that essential 30,000-foot view—because technology without strategy is just expensive noise.  Listen to David Herman: AI in Healthcare: How Technology Makes Patient Care More Human, Featuring David Herman, EP 207  Is your practice growth-ready? See Where Your Practice Stands: Take our Practice Growth Readiness Assessment  Miranda's Bio:  Miranda Dorta, B.F.A. (she/her/hers) is the Manager of Operations and PR at Tracy Cherpeski International. A graduate of Savannah College of Art and Design with expertise in writing and creative storytelling, Miranda brings her skills in operations, public relations, and communication strategies to the Thriving Practice community. Based in the City of Oaks, she joined the team in 2021 and has been instrumental in streamlining operations while managing the company's public presence since 2022.  Tracy's Bio:  Tracy Cherpeski, MBA, MA, CPSC (she/her/hers) is the Founder of Tracy Cherpeski International and Thriving Practice Community. As a Business Consultant and Executive Coach, Tracy helps healthcare practice owners scale their businesses without sacrificing wellbeing. Through strategic planning, leadership development, and mindset mastery, she empowers clients to reclaim their time and reach their potential. Based in Chapel Hill, NC, Tracy serves clients worldwide and is the Executive Producer and Host of the Thriving Practice podcast. Her guiding philosophy: Survival is not enough; life is meant to be celebrated.  Connect With Us:  Be a Guest on the Show  Thriving Practice Community  Schedule Strategy Session with Tracy  Tracy's LinkedIn  Business LinkedIn Page 

The most recent Los Angeles CicLAvia's 11/23  “Stranger Things” open street event was made possible by Netflix (0:18). Katie Wilson's election as Mayor of Seattle through a bike lens with Brie Gyncild, Gordon Padelford and Merlin Rainwater of Seattle Neighborhood Greenways and Tom Fucoloro, editor of Seattle Bike Blog (8:25). News: LYFT's Citibike in NYC is the world's most expensive bikeshare, Families For Safe Streets in Portland seek to stop “superspeeders” with a bill to require speed limiting technology in their cars, People For Bikes invests in the St. Louis bike network, and the CPSC warns about Rad Power ebike batteries (28:19). “Dashcam” app and handlebar mount by Armin Samii create an affordable bike camera that helps gather crash data to keep riders safer (33:30). Disc brakes explained by Jim Cadenhead of Battle Road Bikes in Lexington, Massachusetts (47:12).

In this candid snack episode, Miranda interviews Tracy about the research behind their white paper, "Unlocking Potential: A Business Blueprint for Practice Owners." Tracy reveals a startling discovery: the largest burnout studies—including the AMA's 18,000-respondent survey—systematically exclude private practice owners, focusing exclusively on employed physicians in large systems. This two-year-old research remains urgently relevant as healthcare continues evolving post-COVID. Tracy shares surprising insights from provider interviews, explains why the distinction between working in versus on your practice matters, and offers realistic expectations for reclaiming your time through strategic business planning.  Click here for full show notes  Download the White Paper: “Unlocking Potential: A Business Blueprint for Practice Owners”  Episode Highlights  The Missing Data: Why major burnout studies exclude independent practice owners and what this means for healthcare policy  Lower Burnout Rates: Evidence that practice owners experience slightly lower burnout rates due to greater autonomy—but remain at significant risk  COVID's Impact: How the pandemic intensified an already urgent workplace crisis that the WHO identified as early as 2019  Refreshing Candor: The surprisingly honest conversations practice owners had about their biggest frustrations (insurance companies top the list)  Working In vs. On: The critical difference between clinical tasks and strategic leadership—and why the 10,000-foot view matters  The Long Game: Why meaningful time recapture takes 3-6 months of consistent effort and why it's worth the investment  Healthcare Is Different: Why business principles apply to medical practices with crucial distinctions that generic business advice misses  Memorable Quotes  "I don't believe to this day, even two years on, that the data is actually very clear about practice owners."  "The burnout rates are lower because practice owners have more autonomy, comma, and they're still at risk at pretty much the same rates."  "Practice owners are the redheaded stepchild of burnout research."  "What surprised me was how candid they were as soon as we could get them to talk."  "Business is business, comma, and it's just different in healthcare. And we get that because we work in it with you."  "Everything you're doing now, if it's going to be an adjustment, it's going to take time to come back, but it's so worth the investment of time and energy."  Closing  This conversation underscores why advocacy for independent practice ownership remains central to our mission. When research systematically overlooks a segment of healthcare providers, policies get shaped without their reality in view—and that's exactly when practice owners need the most support. Download the white paper to validate your experience and discover practical strategies for sustainable growth.  Download the White Paper: “Unlocking Potential: A Business Blueprint for Practice Owners”  Is your practice growth-ready? See Where Your Practice Stands: Take our Practice Growth Readiness Assessment  Miranda's Bio:  Miranda Dorta, B.F.A. (she/her/hers) is the Manager of Operations and PR at Tracy Cherpeski International. A graduate of Savannah College of Art and Design with expertise in writing and creative storytelling, Miranda brings her skills in operations, public relations, and communication strategies to the Thriving Practice community. Based in the City of Oaks, she joined the team in 2021 and has been instrumental in streamlining operations while managing the company's public presence since 2022.   Tracy's Bio:  Tracy Cherpeski, MBA, MA, CPSC (she/her/hers) is the Founder of Tracy Cherpeski International and Thriving Practice Community. As a Business Consultant and Executive Coach, Tracy helps healthcare practice owners scale their businesses without sacrificing wellbeing. Through strategic planning, leadership development, and mindset mastery, she empowers clients to reclaim their time and reach their potential. Based in Chapel Hill, NC, Tracy serves clients worldwide and is the Executive Producer and Host of the Thriving Practice podcast. Her guiding philosophy: Survival is not enough; life is meant to be celebrated.  Connect With Us:  Be a Guest on the Show  Thriving Practice Community  Schedule Strategy Session with Tracy  Tracy's LinkedIn  Business LinkedIn Page 

Chemical regulations are only part of the story. In our latest episode, Bob Trimble, Program Manager for Global Restricted Substances at Intertek Assuris, sits down with Anju, an expert in U.S. consumer product safety, to explore how CPSC e-filing is changing the compliance landscape, specifically for children's products.From documentation requirements to digital reporting, they unpack the challenges companies face and share insights to help you stay ahead of evolving safety expectations.Tune in to learn how to simplify compliance and protect your brand's reputation in a more transparent, data-driven future.Speakers:Robert Trimble, Program Manager – Global Restricted Substances, Intertek AssurisAnju Kang, Consultant – Risk Strategy & Management, Intertek Assuris Follow us on- Intertek's Assurance In Action || Twitter || LinkedIn.

Independent healthcare practices are at a critical crossroads. Based on original research from Tracy Cherpeski International's white paper "Unlocking Potential: A Business Blueprint for Practice Owners," this episode reveals the time crisis threatening independent practice ownership—and the surprising wave of change on the horizon. Tracy shares data showing that practice owners spend up to 35% of their time on administrative tasks, while 80% dream of a future with more strategic freedom. But there's hope: with proven time leadership strategies, practice owners are reclaiming 5-10 hours weekly and building sustainable practices that support both exceptional patient care and quality of life.  Click here for full show notes  Is your practice growth-ready? See Where Your Practice Stands: Take our Practice Growth Readiness Assessment  Episode Highlights  The shocking data on how much time practice owners lose to administrative work weekly  Why physician practice ownership dropped 13 percentage points from 2012-2022  The emerging wave of young and mid-career physicians choosing independent practice ownership  Dr. Noah's story: From drowning in admin work to reclaiming his practice and his life  The "garden sunlight" framework for understanding strategic time allocation  What's at stake if we don't support the next generation of practice owners  Proven strategies that help owners reclaim 5-10 hours per week  Memorable Quotes  "The biggest threat to independent healthcare practices isn't private equity buyouts or declining reimbursements—it's how practice owners are spending their time every single week."  "Medical school teaches you how to diagnose and treat patients. It doesn't teach you how to build systems, delegate effectively, or think like a CEO."  "Your time as a practice owner is like sunlight in a garden. If you spread it too thin across every single plant, nothing grows particularly strong."  "We're at an inflection point. And the question is: will these courageous physician entrepreneurs have the support, resources, and business knowledge they need to succeed?"  "Independent healthcare practice ownership doesn't have to be a path to burnout. With the right approach, it can be exactly what you envisioned."  Resources  Download the full white paper: "Unlocking Potential: A Business Blueprint for Practice Owners"   Register for the November 18th Time Leadership Masterclass (Open to everyone!)   Learn more about Thriving Practice Community membership.  Tracy's Bio:  Tracy Cherpeski, MBA, MA, CPSC (she/her/hers) is the Founder of Tracy Cherpeski International and Thriving Practice Community. As a Business Consultant and Executive Coach, Tracy helps healthcare practice owners scale their businesses without sacrificing wellbeing. Through strategic planning, leadership development, and mindset mastery, she empowers clients to reclaim their time and reach their potential. Based in Chapel Hill, NC, Tracy serves clients worldwide and is the Executive Producer and Host of the Thriving Practice podcast. Her guiding philosophy: Survival is not enough; life is meant to be celebrated.  Connect With Us:  Be a Guest on the Show  Thriving Practice Community  Schedule Strategy Session with Tracy  Tracy's LinkedIn  Business LinkedIn Page 

Heroes Technology (US) LLC v. CPSC

In this raw and honest solo episode, Tracy Cherpeski shares what happened when the burnout prevention expert found herself sliding into Stage 4 burnout. During one of the busiest seasons of her career - launching Thriving Practice Community, facilitating a CME-accredited wellness retreat, and developing new programs - Tracy experienced firsthand the insidious nature of burnout she teaches others to prevent. But this isn't just a story about struggle. It's about what actually works: the difference between near-burnout and full burnout, why clarity is 50% of prevention, and why community isn't optional but essential infrastructure for sustainable practice. Through stories from a powerful San Jose gathering and TPC's inaugural Community of Practice session, Tracy reveals what healthcare leaders are truly hungry for and what most of us are trying to survive without.  Click here for full show notes  Is your practice growth-ready? See Where Your Practice Stands: Take our Practice Growth Readiness Assessment  Episode Highlights  The irony of teaching burnout prevention while experiencing Stage 4 burnout during an intense launch season  What happened at the San Jose CME-accredited wellness event when physicians finally had space to connect  The "worst wellness advice ever" improv game that revealed the band-aid solutions healthcare leaders are tired of hearing  Dr. Robert's story: navigating impossible income swings, two practice models, and life-altering decisions completely alone  Gianna's journey: why even successful practice owners need community to navigate next-level growth decisions  The WHO's 12 stages of burnout and why Stages 1-4 look exactly like the "model physician"  Why clarity about your WHY is at least 50% of burnout prevention  How community serves as prevention infrastructure, not just a cure for burnout  The difference between three days of intentional rest and three months of burnout recovery  Memorable Quotes  "The irony was not lost on me. And that's the thing about burnout - it's insidious. You don't see it creeping up until suddenly, you're in it."  "That feeling of 'I'm keeping all these plates spinning but I've lost sight of why I'm in the circus to begin with.'"  "My body basically said, 'Okay, you pushed through the event, now you're STOPPING whether you like it or not.'"  "The 'worst advice' they were sarcastically giving? That WAS their lived experience."  "They grabbed onto connection like oxygen."  "And that's what I mean by isolation at the survival level. It's not that he's not capable - he's proven he is. It's that he's trying to navigate impossible complexity without anyone who actually understands the terrain."  "Success doesn't eliminate the need for community. It just changes what you need community FOR."  "Clarity is at least 50% of burnout prevention."  "Community isn't optional. It's infrastructure."  "Isolation intensifies everything. The doubt. The comparison. The overwhelm. The weight of decisions."  "That's the power of community. Not as a cure for burnout, but as prevention. As the structure that keeps you from getting there in the first place."  "This isn't about waiting until you 'have it all figured out' to connect with peers. It's about recognizing that connection IS how you figure it out."  Closing  Tracy's vulnerability in this episode is a gift. She didn't just teach us about burnout prevention - she showed us what it looks like to catch yourself at Stage 4, course-correct with clarity and community, and come out stronger. If you'refeeling isolated in your practice, making high-stakes decisions alone, or wondering if you have time for community, this episode is your reminder: you don't have time NOT to invest in connection and clarity. Because without them, you'llkeep spinning until your body forces you to stop.  Tracy's Bio:  Tracy Cherpeski, MBA, MA, CPSC (she/her/hers) is the Founder of Tracy Cherpeski International and Thriving Practice Community. As a Business Consultant and Executive Coach, Tracy helps healthcare practice owners scale their businesses without sacrificing wellbeing. Through strategic planning, leadership development, and mindset mastery, she empowers clients to reclaim their time and reach their potential. Based in Chapel Hill, NC, Tracy serves clients worldwide and is the Executive Producer and Host of the Thriving Practice podcast. Her guiding philosophy: Survival is not enough; life is meant to be celebrated.  Connect With Us:  Be a Guest on the Show  Thriving Practice Community  Schedule Strategy Session with Tracy  Tracy's LinkedIn  Business LinkedIn Page 

Overview: Each quarter brings predictable patterns in patient behavior and practice operations, yet many healthcare providers find themselves constantly reacting instead of planning. In this snack episode, Tracy Cherpeski shares her insights on how practice owners can leverage quarterly shifts to build sustainable growth and avoid burnout. From Q1's deductible reset surge to Q4's strategic planning opportunities, Tracy offers a roadmap for thriving year-round.  Click here for full show notes  Episode Highlights:  How to prepare for Q1's patient surge and deductible reset without overwhelming your team  Why Q2 is the perfect time for mid-year assessments and what metrics actually matter  Using Q3's momentum (or downtime) strategically instead of just coasting through summer  The competitive advantage of Q4 planning over end-of-year scrambling  Understanding the "hustle and glide" mentality for sustainable practice growth  The Time Leadership Quadrant: A practical framework for triaging what needs your attention now  Memorable Quotes:  "What you track, you can manage."  "You don't want to make your adjustments in the busy time. It's the analogy of getting caught with your pants around your ankles—it's not a good time to try to run if you are bound."  "If you take some time in Q3 to plan, you'll be at least a quarter ahead of your competition."  "Embrace the hustle and glide mentality—we hustle when it's truly hustle time, and when it's not, you slow down, become more reflective, and recharge your batteries."  "The practice owners who thrive year-round know when to work on the business instead of always being in it."  If you're ready to stop riding the quarterly roller coaster and start planning for predictable success, visit thrivingpracticecommunity.com to schedule a consultation with Tracy today.  Is your practice growth-ready? See Where Your Practice Stands: Take our Practice Growth Readiness Assessment  Miranda's Bio:  Miranda Dorta, B.F.A. (she/her/hers) is the Manager of Operations and PR at Tracy Cherpeski International. A graduate of Savannah College of Art and Design with expertise in writing and creative storytelling, Miranda brings her skills in operations, public relations, and communication strategies to the Thriving Practice community. Based in the City of Oaks, she joined the team in 2021 and has been instrumental in streamlining operations while managing the company's public presence since 2022.  Tracy's Bio:  Tracy Cherpeski, MBA, MA, CPSC (she/her/hers) is the Founder of Tracy Cherpeski International and Thriving Practice Community. As a Business Consultant and Executive Coach, Tracy helps healthcare practice owners scale their businesses without sacrificing wellbeing. Through strategic planning, leadership development, and mindset mastery, she empowers clients to reclaim their time and reach their potential. Based in Chapel Hill, NC, Tracy serves clients worldwide and is the Executive Producer and Host of the Thriving Practice podcast. Her guiding philosophy: Survival is not enough; life is meant to be celebrated.   Connect With Us:  Be a Guest on the Show  Thriving Practice Community  Schedule Strategy Session with Tracy  Tracy's LinkedIn  Business LinkedIn Page 

In this powerful conclusion to our three-part time leadership series, Tracy tackles one of the most repeated—and least helpful—pieces of productivity advice: "work smarter, not harder." Through the compelling story of Dr. David, an ER physician turned regenerative medicine practice owner, you'll discover why this platitude fails and what to do instead. Tracy introduces a concrete methodology for strategic work allocation that helped Dr. David redirect 15 hours per week from low-value interruptions to high-value work that only he could perform. The result? Substantial revenue growth, improved patient flow, and a more confident, self-sufficient team—all while working the same number of hours.  Click here for full show notes  Is your practice growth-ready? See Where Your Practice Stands: Take our Practice Growth Readiness Assessment  Download the Time Leadership Delegation Tool  Episode Highlights  Why "work smarter" is useless advice: It offers zero actionable guidance on how to actually work differently  The critical distinction: Time leadership isn't about getting extra free time—it's about strategic reallocation to work that only you can do  Dr. David's breakthrough: Discovering he spent 15 hours weekly on work that didn't require his expertise  The three strategic changes: Training staff for self-sufficiency, redesigning clinical schedules around highest-value work, and fixing the scheduling system  The scheduling protocol that changed everything: How offering two specific appointment options eliminated chaos and six weekly interruptions  Real results: How 12 redirected hours created substantial revenue increases and improved practice flow  The Discovery-Analysis-Action framework: Tracy's proven methodology for lasting change  Memorable Quotes  "Time leadership isn't about efficiency—it's about effectiveness. It's not about doing things faster—it's about doing the right things and ensuring the wrong things aren't on your plate at all."  "The question isn't 'how do I work smarter?' The question is 'what work should I actually be doing, and what needs to stop being on my plate?'"  "You're not getting 'extra' time. You're reclaiming strategic capacity that's currently being drained by the wrong work."  "Awareness without action is just expensive entertainment. You can understand time leadership intellectually and still be overwhelmed six months from now."  "I finally understand the difference between being busy and being effective. I'm working the same number of hours, but the work I'm doing is completely different." —Dr. David  This episode delivers the practical implementation guide you've been waiting for in the time leadership series. Whether you're a physician, dentist, or other healthcare practice owner, Tracy's methodology for strategic work allocation will help you stop playing every instrument in the orchestra and start conducting. Visit the show notes for your complimentary practice assessment strategy session and take the next step toward building the practice you envisioned.  Is your practice growth-ready? See Where Your Practice Stands: Take our Practice Growth Readiness Assessment  Download the Time Leadership Delegation Tool  Tracy's Bio:  Tracy Cherpeski, MBA, MA, CPSC (she/her/hers) is the Founder of Tracy Cherpeski International and Thriving Practice Community. As a Business Consultant and Executive Coach, Tracy helps healthcare practice owners scale their businesses without sacrificing wellbeing. Through strategic planning, leadership development, and mindset mastery, she empowers clients to reclaim their time and reach their potential. Based in Chapel Hill, NC, Tracy serves clients worldwide and is the Executive Producer and Host of the Thriving Practice podcast. Her guiding philosophy: Survival is not enough; life is meant to be celebrated.  Connect With Us:  Be a Guest on the Show  Thriving Practice Community  Schedule Strategy Session with Tracy  Tracy's LinkedIn  Business LinkedIn Page 

Every year, thousands of products are recalled from store shelves. How does the process work — and who foots the bill? Zachary Crockett gets a refund on his frozen shrimp. SOURCES:Chris Harvey, senior vice president at Sedgwick. RESOURCES:"FDA Advises Public Not to Eat, Sell, or Serve Certain Imported Frozen Shrimp from an Indonesian Firm," (FDA, 2025)."U.S. product recalls reach second-highest level in six years during 2024," (Sedgwick, 2025)."Lot Codes For Food Tracing: How Are They Used?" by Thomas Burke (Forbes, 2021)."How Globalization Challenges Safety In The Food Supply Chain," by Elliot Maras (Food Logistics, 2015). EXTRAS:"Recalls, Market Withdrawals, & Safety Alerts," (FDA)."Recalls & Public Health Alerts," (USDA)."Recalls & Product Safety Warnings," (CPSC)."Check for Recalls," (NHTSA). Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Host: Cindy Allen Published: October 17, 2025 Length: ~11 minutes Presented by: Global Training Center This week, Cindy Allen — the Taylor Swift of Trade — opens with the song "Wish List" from Taylor's latest album to frame a candid look at the current landscape for international trade professionals. Cindy launches with a snapshot of the ongoing U.S. government shutdown and its impacts on trade facilitation, CBP operations, and agency holds, noting which agencies are coping and where the pain points are starting to show. She also discusses the latest on vessel and container fees targeting China-linked shipping, and the rollout of new environmental "green fee" proposals gaining traction with international regulators. Cindy moves on to cover major industry developments, from continued Section 232 duty adjustments on pharmaceuticals and heightened scrutiny on origin-specific duties, to the broader market response as recent tensions with China appear to cool—at least for now. Wrapping up, Cindy connects this week's trade turbulence to the themes in “Wish List”—emphasizing the profession's desire for a return to routine and the growing “Make Trade Boring Again” movement among customs brokers. What You'll Learn in This Episode: U.S. government shutdown: Trade impact and operational status by agency Week three status update on CBP, FDA, CPSC, USDA, and smaller agencies How agency holds and exams are affecting shipments New vessel/container fees and carrier rerouting after China-related restrictions October 14 implementation and compliance guidance for carriers Cost impact—and what's (not yet) being passed on to importers Section 232 pharma update and reciprocal duty challenges Delayed new tariffs for pharmaceuticals and incentives to manufacture in the U.S. Complications for brokers: layering, exemptions, and compliance tools China trade relations and tariff risk Why the threatened 100% duty on Chinese goods for November 1 is unlikely Market reaction to de-escalation signals New “green fee” proposals and the U.S. response IMO, WTO, and WCO push for environmental surcharges President Trump's stance and potential U.S. actions Customs brokerage in the spotlight How recent media coverage has changed the industry The call to “Make Trade Boring Again”—and why that's on Cindy's wish list Key Takeaways: The shutdown has yet to cause a major breakdown in trade flows, but agency-specific disruptions are mounting. Vessel/container fees are being absorbed through creative routing—importers haven't seen extra charges, but the future is uncertain. Section 232 duties remain a compliance headache, especially with new exemption and layering rules. Signs of a U.S.–China trade thaw this week bring relief and market stability, halting expectations of major new tariffs. Trade professionals everywhere are wishing for normalcy: less drama, fewer surprises, and a return to boring, reliable compliance work. Resources & Mentions: — CBP, FDA, CPSC, USDA shutdown operational notices — Section 232 duty update bulletins — Taylor Swift: Wish List, The Life of a Show Girl (referenced) — Make Trade Boring Again campaign (NCBFAA) Credits Hosts: Cindy Allen – LinkedIn Trade Force Multiplier Producers: Lalo Solorzano – LinkedIn Annik Sobing - LinkedIn Subscribe & Follow New episodes every Friday. Presented by: Global Training Center — providing education, consulting, workshops, and compliance resources for trade professionals.

Overview: In this episode of Thriving Practice, Tracy Cherpeski tackles one of the biggest challenges healthcare practice owners face: protecting strategic thinking time in an environment where everything feels urgent. Through the compelling story of Dr. David—an ER physician who opened a regenerative medicine practice—you'll discover why your blocked strategic planning time keeps getting hijacked, and learn the exact framework for distinguishing between genuine urgency and habitual urgency. This is part two of the time leadership series, and it's essential listening for any practice owner who's ever wondered why their "do not disturb" time never actually happens.  Click here for full show notes  Download the Time Leadership Workbook  Episode Highlights:  Why healthcare practice owners are uniquely vulnerable to losing strategic thinking time  The difference between urgency in clinical care versus practice operations  Dr. David's breakthrough: discovering 15 hours per week of delegable tasks through time tracking  The three questions that help you triage your time like an ER triages patients  The ABCD prioritization framework for categorizing tasks and interruptions  How to create decision-making frameworks that eliminate recurring interruptions  Why tracking your time for just three days can reveal patterns you can't unsee  Memorable Quotes:  "Your strategic thinking time doesn't disappear because healthcare is unpredictable. It disappears because you haven't distinguished between what's genuinely urgent and what just feels urgent."  "In clinical settings, urgency often correlates with importance. But here's the trap: you've imported that same urgency response pattern into every aspect of your practice. And in the business side of healthcare, urgency rarely equals importance."  "You cannot fix what you cannot see."  "The question isn't 'is this urgent?' The question is 'is this urgent and only I can handle it right now?' That's a very different standard."  Ready to reclaim your strategic thinking time? This episode gives you the audit framework and prioritization system to start making immediate changes. Download the Time Leadership Delegation workbook and complete your three-day time audit—then join us for part three, where Tracy shows you how to turn that data into freed-up time.  Is your practice growth-ready? See Where Your Practice Stands: Take our Practice Growth Readiness Assessment  Tracy's Bio:  Tracy Cherpeski, MBA, MA, CPSC (she/her/hers) is the Founder of Tracy Cherpeski International and Thriving Practice Community. As a Business Consultant and Executive Coach, Tracy helps healthcare practice owners scale their businesses without sacrificing wellbeing. Through strategic planning, leadership development, and mindset mastery, she empowers clients to reclaim their time and reach their potential. Based in Chapel Hill, NC, Tracy serves clients worldwide and is the Executive Producer and Host of the Thriving Practice podcast. Her guiding philosophy: Survival is not enough; life is meant to be celebrated.   Connect With Us:  Be a Guest on the Show  Thriving Practice Community  Schedule Strategy Session with Tracy  Tracy's LinkedIn  Business LinkedIn Page 

The Virginia Tech Helmet Lab has been providing independent safety ratings for sports helmets since 2011, and today we'll hear from Dr. Barry Miller about how their testing works, why their rating system stands apart from standard certifications, and how the system has pushed manufacturers to improve designs over time.In this episode we discuss the following questions.Why did the Virginia Tech Helmet Ratings program get started?How do your ratings differ from certification standards like CPSC?How are bike helmets tested in your lab, and who performs the testing?How well do lab results correlate with real-world crash data and field studies?With so many models out there, how do you choose which helmets to test?The 5-star rating scale was recently recalibrated, making 5 stars harder to earn—why?Have the ratings influenced helmet companies to improve designs?How unsafe is it to mount accessories (lights/cameras) on a helmet?How do bike helmets compare tech-wise to helmets for other sports like football?What are the main limitations of your testing and rating methodology?Any upcoming testing updates, categories, or research directions riders should know about?An automated transcript will be available at Singletracks.com later today.Follow Singletracks on Instagram @singletracks to keep up with the latest mountain bike news.

In this candid snack episode, Miranda and Tracy explore the critical importance of building intentional professional community as a practice owner. Drawing from Tracy's recently updated blog post "Choosing Your Village" (originally written in 2011), they discuss why independent healthcare providers need more than clinical expertise—they need a village of people who understand the unique challenges of practice ownership.  Click here for full show notes  Episode Highlights  Why community matters more now: The impact of digital connection versus genuine human connection, and how COVID increased isolation for independent practice owners  Village vs. support network: Understanding the difference between personal support and professional community  Energy audit for relationships: How to identify which connections drain you and which ones light you up—and what to do about it  Recovery from burnout: Practical steps for practice owners running on empty, including the WHO's 12 stages of burnout  Incremental progress over perfection: Why starting small (like drinking enough water) creates sustainable change  Memorable Quotes  "I think we are more digitally connected and yet feeling more disconnected. For all humans, we're really feeling that, and COVID really increased our sense of isolation."  "I need professional friends. I need professional colleagues in my world, other business owners... other crazy people who can show you that what you're going through is common, maybe even normal."  "If I'm feeling this way with lots of people, it might be time for me to take a nap and have a snack."  "Mindful means slowing down. Sometimes literally putting my hand on my heart and just checking in."  "It's better, it's more sustainable to start with something that you know you can do. I know I can carry my water bottle around and sip on it all day."  Closing  This episode serves as a gentle reminder that practice ownership doesn't have to be a solitary journey. Whether you're evaluating your current professional relationships or looking to build new connections, the Thriving Practice community is here to support you. Visit thrivingpracticecommunity.com to learn more about working with Tracy and joining a village that truly gets it.  Is your practice growth-ready? See Where Your Practice Stands: Take our Practice Growth Readiness Assessment  Miranda's Bio:  Miranda Dorta, B.F.A. (she/her/hers) is the Manager of Operations and PR at Tracy Cherpeski International. A graduate of Savannah College of Art and Design with expertise in writing and creative storytelling, Miranda brings her skills in operations, public relations, and communication strategies to the Thriving Practice community. Based in the City of Oaks, she joined the team in 2021 and has been instrumental in streamlining operations while managing the company's public presence since 2022.    Tracy's Bio:  Tracy Cherpeski, MBA, MA, CPSC (she/her/hers) is the Founder of Tracy Cherpeski International and Thriving Practice Community. As a Business Consultant and Executive Coach, Tracy helps healthcare practice owners scale their businesses without sacrificing wellbeing. Through strategic planning, leadership development, and mindset mastery, she empowers clients to reclaim their time and reach their potential. Based in Chapel Hill, NC, Tracy serves clients worldwide and is the Executive Producer and Host of the Thriving Practice podcast. Her guiding philosophy: Survival is not enough; life is meant to be celebrated.   Connect With Us:  Be a Guest on the Show  Thriving Practice Community  Schedule Strategy Session with Tracy  Tracy's LinkedIn  Business LinkedIn Page 

In this first episode of our three-part Time Leadership series, Tracy Cherpeski tackles why traditional productivity systems fail healthcare practice owners. If you've tried every time management technique only to feel more overwhelmed, this episode reveals the real problem: you've been applying employee productivity frameworks to a practice owner's reality. Tracy introduces the concept of time leadership—a strategic approach designed specifically for healthcare professionals balancing clinical excellence with business sustainability.  Click here for full show notes  Click here to download the Time Leadership Delegation Workbook  See Where Your Practice Stands: Take our Practice Growth Readiness Assessment  Episode Highlights  The Time Management Trap: Why productivity systems designed for corporate employees don't work for practice owners juggling patient care and business leadership Dr. Sarah's Story: How a successful family medicine physician discovered she was efficiently managing the wrong work—and what changed when she shifted her focus  Time Management vs. Time Leadership: The critical distinction between doing things efficiently and doing the right things strategically  The Orchestra Metaphor: Why you need to conduct your practice rather than play every instrument yourself  Delegation Beyond Admin: Understanding what truly requires your clinical expertise versus what you're doing out of habit  Memorable Quotes  "You don't have a time management problem. You have a time leadership opportunity."  "Time management is about efficiency—doing things right. Time leadership is about effectiveness—doing the right things."  "Sarah wasn't managing her time poorly. She was managing the wrong work."  "Real acceptance is powerful—making peace with what you genuinely cannot change while focusing your energy on what you can. Resignation is giving up."  "The question isn't 'how do I manage all these tasks more efficiently?' The question is 'what am I conducting versus what am I trying to play myself?'"  This episode sets the foundation for a complete mindset shift around how healthcare practice owners approach their time. Tracy challenges listeners to stop blaming themselves for failed productivity systems and instead recognize that they need a framework built for their unique reality. Download the Time Leadership Delegation workbook and complete the foundation work before episode two, where we'll explore the Open Time Audit and identify exactly where your strategic thinking time is being hijacked.  See Where Your Practice Stands: Take our Practice Growth Readiness Assessment  Tracy's Bio:  Tracy Cherpeski, MBA, MA, CPSC (she/her/hers) is the Founder of Tracy Cherpeski International and Thriving Practice Community. As a Business Consultant and Executive Coach, Tracy helps healthcare practice owners scale their businesses without sacrificing wellbeing. Through strategic planning, leadership development, and mindset mastery, she empowers clients to reclaim their time and reach their potential. Based in Chapel Hill, NC, Tracy serves clients worldwide and is the Executive Producer and Host of the Thriving Practice podcast. Her guiding philosophy: Survival is not enough; life is meant to be celebrated.   Connect With Us:  Be a Guest on the Show  Thriving Practice Community  Schedule Strategy Session with Tracy  Tracy's LinkedIn  Business LinkedIn Page 

Healthcare providers excel at caring for others but often struggle with self-care. In this honest conversation, Tracy Cherpeski shares why the 'always on' mindset is actually counterproductive and reveals practical strategies for breaking free from energy-draining habits.  Key Highlights:  Why the word "should" creates unnecessary guilt and obligation  How your well-being directly impacts your team's performance  The danger of checking your phone first thing in the morning  Why email shouldn't be the first task of your day  The 60-day rule for creating lasting habits  Building flexibility into habit formation to avoid perfectionism pitfalls  Click here for full show notes  Memorable Quotes: "Do not should on yourself or others—that word is so laden with judgment."  "If you're not right, ain't nothing right in your business."  "When I'm stressed, I get spacey, and when I'm spacey, that means you have to work harder."  "We need to give ourselves permission to turn it off and to step away. That's really, really, really hard."  This episode offers actionable insights for healthcare providers ready to prioritize their well-being without compromising patient care. Sometimes the best thing you can do for your practice is take better care of yourself.  Is your practice growth-ready? See Where Your Practice Stands: Take our Practice Growth Readiness Assessment  Miranda's Bio:  Miranda Dorta, B.F.A. (she/her/hers) is the Manager of Operations and PR at Tracy Cherpeski International. A graduate of Savannah College of Art and Design with expertise in writing and creative storytelling, Miranda brings her skills in operations, public relations, and communication strategies to the Thriving Practice community. Based in the City of Oaks, she joined the team in 2021 and has been instrumental in streamlining operations while managing the company's public presence since 2022.   Tracy's Bio:  Tracy Cherpeski, MBA, MA, CPSC (she/her/hers) is the Founder of Tracy Cherpeski International and Thriving Practice Community. As a Business Consultant and Executive Coach, Tracy helps healthcare practice owners scale their businesses without sacrificing wellbeing. Through strategic planning, leadership development, and mindset mastery, she empowers clients to reclaim their time and reach their potential. Based in Chapel Hill, NC, Tracy serves clients worldwide and is the Executive Producer and Host of the Thriving Practice podcast. Her guiding philosophy: Survival is not enough; life is meant to be celebrated.   Connect With Us:  Be a Guest on the Show  Thriving Practice Community  Schedule Strategy Session with Tracy  Tracy's LinkedIn  Business LinkedIn Page 

Episode Overview: In this powerful solo episode honoring Women in Medicine Month, Tracy Cherpeski exposes a critical flaw in physician burnout research that's been hiding in plain sight. While women now represent the majority of medical students, they face burnout rates nearly 50% higher than men and remain dramatically underrepresented in practice ownership - the very model that offers the autonomy and control that could address their burnout crisis.  Click here for full show notes  Key Highlights:  Major burnout studies systematically exclude private practice owners who report the highest job satisfaction  Women physicians experience 47% burnout rates compared to 39% for men, yet only 34% own their practices  Private practice ownership has declined from 60% to 42% since 2012, eroding the practice model with highest physician satisfaction  Self-employed physicians earn 11% more and cite autonomy as their top priority  The research bias creates policies that favor large health systems while undermining diverse practice models  Memorable Quotes: "It's like studying American happiness but only surveying corporate employees while completely ignoring entrepreneurs and small business owners. Then wondering why everyone seems miserable."  "You're not just building a practice - you're modeling a different way to practice medicine. And that matters more than you might know."  "The solution to physician burnout isn't bigger health systems or more employment. It's empowering physicians to create practices that work for their lives, their values, and their wellbeing."  This episode challenges listeners to see practice ownership not just as a business model, but as a powerful wellbeing strategy that's been overlooked by mainstream medical research.  Tracy's Bio:  Tracy Cherpeski, MBA, MA, CPSC (she/her/hers) is the Founder of Tracy Cherpeski International and Thriving Practice Community. As a Business Consultant and Executive Coach, Tracy helps healthcare practice owners scale their businesses without sacrificing wellbeing. Through strategic planning, leadership development, and mindset mastery, she empowers clients to reclaim their time and reach their potential. Based in Chapel Hill, NC, Tracy serves clients worldwide and is the Executive Producer and Host of the Thriving Practice podcast. Her guiding philosophy: Survival is not enough; life is meant to be celebrated.  See Where Your Practice Stands: Take our Practice Growth Readiness Assessment  Connect With Us:  Be a Guest on the Show  Thriving Practice Community  Schedule Strategy Session with Tracy  Tracy's LinkedIn  Business LinkedIn Page 

In this candid snack episode, Tracy Cherpeski shares insights on developing an entrepreneurial mindset while maintaining clinical excellence. She introduces the concept of "hat switching" between clinical and business roles, explores the gardener's approach to practice growth, and provides practical strategies for expanding revenue without extending work hours.  Key Highlights  The importance of switching between "clinician" and "CEO/entrepreneur" hats  How entrepreneurial flexibility complements medical training rigidity  The gardener's approach: planting seeds and practicing detachment from outcomes  Practical revenue stream ideas including mid-level providers, supplement lines, and health coaching partnerships  Why clarity of vision serves as the foundation for sustainable practice growth  Click here for full show notes   Memorable Quotes  "If you're in your clinical mindset and you try to think like an entrepreneur, it crosses some of the lines of duty of care and things like that."  "Sometimes you got to dig through a lot of shit to be able to get to the good stuff."  "Be super, super clear about what it is that you want to achieve... but then we let go of it and we just know that we're likely to get there or maybe better."  Closing  This episode perfectly captures the dynamic between clinical excellence and business savvy that defines thriving practices. Tracy's practical wisdom offers healthcare providers a roadmap for sustainable growth without compromising their core mission of healing.  See Where Your Practice Stands: Take our Practice Growth Readiness Assessment   Miranda's Bio:  Miranda Dorta, B.F.A. (she/her/hers) is the Manager of Operations and PR at Tracy Cherpeski International. A graduate of Savannah College of Art and Design with expertise in writing and creative storytelling, Miranda brings her skills in operations, public relations, and communication strategies to the Thriving Practice community. Based in the City of Oaks, she joined the team in 2021 and has been instrumental in streamlining operations while managing the company's public presence since 2022.   Tracy's Bio:  Tracy Cherpeski, MBA, MA, CPSC (she/her/hers) is the Founder of Tracy Cherpeski International and Thriving Practice Community. As a Business Consultant and Executive Coach, Tracy helps healthcare practice owners scale their businesses without sacrificing wellbeing. Through strategic planning, leadership development, and mindset mastery, she empowers clients to reclaim their time and reach their potential. Based in Chapel Hill, NC, Tracy serves clients worldwide and is the Executive Producer and Host of the Thriving Practice podcast. Her guiding philosophy: Survival is not enough; life is meant to be celebrated.   Connect With Us:  Be a Guest on the Show  Thriving Practice Community  Schedule Strategy Session with Tracy  Tracy's LinkedIn  Business LinkedIn Page 

In this final episode of the mindful leadership series, Tracy Cherpeski explores how internal work creates expanding ripples of success. Following up with Dr. Sarah and Dr. Marcus years after their initial work, we see how their practices have become magnetic centers that naturally attract resources, talent, and opportunities. This episode reveals the five ripple zones that create sustainable competitive advantage and shows how mindful leadership becomes a powerful business strategy.  Key Highlights  How Dr. Sarah now takes three-week unplugged vacations while her team runs seamlessly  Marcus's referral systems that are "crushing it" while he focuses on strategic growth  The five ripple zones that create magnetic pull in healthcare practices  Why pushing for success creates resistance while magnetic leadership creates flow  How internal work compounds into external competitive advantages over time  Memorable Quotes  "The most profitable practices aren't just well-run businesses – they're energy centers that attract everything they need to thrive."  "When you're pushing, you're working against resistance. When you're magnetic, resources flow toward you effortlessly."  "Your mindful leadership isn't just personal development; it's business strategy."  "The question isn't whether you're capable of this level of success – the question is whether you're ready to begin."  This episode demonstrates that sustainable practice success flows from the inside out, showing how two different practitioners used the same framework to create practices that continue thriving and expanding their influence years later.  Tracy's Bio:  Tracy Cherpeski, MBA, MA, CPSC (she/her/hers) is the Founder of Tracy Cherpeski International and Thriving Practice Community. As a Business Consultant and Executive Coach, Tracy helps healthcare practice owners scale their businesses without sacrificing wellbeing. Through strategic planning, leadership development, and mindset mastery, she empowers clients to reclaim their time and reach their potential. Based in Chapel Hill, NC, Tracy serves clients worldwide and is the Executive Producer and Host of the Thriving Practice podcast. Her guiding philosophy: Survival is not enough; life is meant to be celebrated.  See Where Your Practice Stands: Take our Practice Growth Readiness Assessment  Connect With Us:  Be a Guest on the Show  Thriving Practice Community  Schedule Strategy Session with Tracy  Tracy's LinkedIn  Business LinkedIn Page  

This episode introduces the concept of Success Architecture—the intentional framework that allows healthcare practices to grow predictably and profitably without requiring constant reactive management. Through the compelling case study of Dr. Marcus, Tracy demonstrates how the right foundation can transform a practice from survival mode to sustainable growth, achieving remarkable results in just 90 days.  Key Highlights  Dr. Marcus increased revenue by 30% while dramatically improving profit margins in 90 days  Reclaimed 20 hours per week through strategic energy management  Achieved 10X ROI within 18 months while adding two new providers  The Four Pillars: Mental Clarity, Energy Management, Systems Thinking, and Abundance Mindset  90-day implementation strategy: Foundation Phase, Construction Phase, Integration Phase  Why most practices fail: building on "sand" instead of solid architecture  The difference between managing your practice and leading your practice  Memorable Quotes  "The difference isn't talent, market conditions, or luck—it's Success Architecture."  "Success Architecture is the difference between reacting to your practice and creating your practice."  "Clarity equals speed."  "Energy management isn't about time management—it's about impact management."  "The practices that will flourish in the next decade will be led by architects, not firefighters."  This episode provides the roadmap for building the solid foundation every successful practice needs. Whether you're feeling stuck in reactive mode or ready to scale strategically, Success Architecture offers the framework to move from chaos to predictable growth. Don't miss next week's finale where we explore how internal transformation creates powerful external impact.  Tracy's Bio:  Tracy Cherpeski, MBA, MA, CPSC (she/her/hers) is the Founder of Tracy Cherpeski International and Thriving Practice Community. As a Business Consultant and Executive Coach, Tracy helps healthcare practice owners scale their businesses without sacrificing wellbeing. Through strategic planning, leadership development, and mindset mastery, she empowers clients to reclaim their time and reach their potential. Based in Chapel Hill, NC, Tracy serves clients worldwide and is the Executive Producer and Host of the Thriving Practice podcast. Her guiding philosophy: Survival is not enough; life is meant to be celebrated.  See Where Your Practice Stands: Take our Practice Growth Readiness Assessment  Connect With Us:  Be a Guest on the Show  Thriving Practice Community  Schedule Strategy Session with Tracy  Tracy's LinkedIn  Business LinkedIn Page 

Healthcare practice owners often unknowingly create internal barriers that directly impact their bottom line – not from lack of clinical skills or business knowledge, but from deeply embedded beliefs that show up as seemingly logical decisions. Through Dr. Sarah's compelling transformation story, this episode reveals how one practice owner went from working 60+ hour weeks while personally taking patient payments to achieving a 40% revenue increase and reclaiming 20 hours per week, all by dismantling a single invisible barrier.  Key Highlights:  How fear-based overhead decisions actually limit revenue capacity  The true cost of operating from a scarcity mindset disguised as quality control  Why equating personal worth with work hours creates success-limiting bottlenecks  A real case study showing 26x ROI from barrier removal  Three practical assessment questions to identify your own hidden barriers  Memorable Quotes: "Your barriers aren't protecting you; they're imprisoning you. And every day you don't address them, you're leaving money on the table and freedom off your calendar."  "Sarah thought she couldn't afford a $40,000 administrative salary, but her barrier was costing her $400,000 in lost revenue."  "They're like having a Ferrari with the emergency brake on. You've got the engine, the capability, the vision – but you're burning fuel while barely moving forward."  This episode launches a three-part series on building what Tracy calls "Success Architecture" – the mindset foundation that allows practices to scale without sacrificing sanity. Perfect for practice owners ready to stop being the emergency brake in their own success story.  Tracy's Bio:  Tracy Cherpeski, MBA, MA, CPSC (she/her/hers) is the Founder of Tracy Cherpeski International and Thriving Practice Community. As a Business Consultant and Executive Coach, Tracy helps healthcare practice owners scale their businesses without sacrificing wellbeing. Through strategic planning, leadership development, and mindset mastery, she empowers clients to reclaim their time and reach their potential. Based in Chapel Hill, NC, Tracy serves clients worldwide and is the Executive Producer and Host of the Thriving Practice podcast. Her guiding philosophy: Survival is not enough; life is meant to be celebrated.   See Where Your Practice Stands: Take our Practice Growth Readiness Assessment  Connect With Us:  Be a Guest on the Show  Thriving Practice Community  Schedule Strategy Session with Tracy  Tracy's LinkedIn  Business LinkedIn Page 

Episode 200 marks a significant milestone for the Thriving Practice Podcast, celebrating not just the achievement but the entire healthcare community that has grown alongside it. Tracy and Miranda offer an intimate look at how the podcast has evolved, what drives their content decisions, and the exciting changes coming in future episodes. This behind-the-scenes conversation reveals the heart behind the podcast and the movement it has become.  Key Highlights:  The podcast's evolution from experimental project to community movement  New content formats including association partnerships and episode series  Introduction of beta sponsorship program to expand reach and production quality  The importance of balancing 10,000-foot strategic vision with actionable implementation  How listener feedback, especially love for "snack episodes," shapes content direction  The democratic nature of the podcast as free, accessible support for all healthcare providers  Memorable Quotes: "Momentum is our friend. We can take our hard earned wisdom and build from that... it feels like a movement."  "From the perspective of above the mountains, nature is doing what it does, and it's handled... nothing can be insurmountable for us."  "This is on demand, it's always going to be free... It's evergreen and it's fully democratic."  Closing: This milestone episode captures the genuine passion driving the Thriving Practice Podcast. As Tracy and Miranda look toward the future, their commitment to serving healthcare providers remains unwavering, with exciting developments that promise to deepen the impact of this thriving community.  Miranda's Bio:  Miranda Dorta, B.F.A. (she/her/hers) is the Manager of Operations and PR at Tracy Cherpeski International. A graduate of Savannah College of Art and Design with expertise in writing and creative storytelling, Miranda brings her skills in operations, public relations, and communication strategies to the Thriving Practice community. Based in the City of Oaks, she joined the team in 2021 and has been instrumental in streamlining operations while managing the company's public presence since 2022.  Tracy's Bio:  Tracy Cherpeski, MBA, MA, CPSC (she/her/hers) is the Founder of Tracy Cherpeski International and Thriving Practice Community. As a Business Consultant and Executive Coach, Tracy helps healthcare practice owners scale their businesses without sacrificing wellbeing. Through strategic planning, leadership development, and mindset mastery, she empowers clients to reclaim their time and reach their potential. Based in Chapel Hill, NC, Tracy serves clients worldwide and is the Executive Producer and Host of the Thriving Practice podcast. Her guiding philosophy: Survival is not enough; life is meant to be celebrated.  See Where Your Practice Stands: Take our Practice Growth Readiness Assessment  Connect With Us:  Be a Guest on the Show  Thriving Practice Community  Schedule Strategy Session with Tracy  Tracy's LinkedIn  Business LinkedIn Page 

In this Season 8 finale, Tracy reflects on eight months of breakthrough conversations and authentic connections while revealing what's been happening behind the scenes. She shares favorite moments including Dr. Ruth Mannschreck's inspiring time freedom story, Jennifer Raams' insights on emotional intelligence, and David Ford's MedWay innovation. Tracy discusses her surprising passion for addressing the clinical-to-CEO skills gap and announces expanding partnerships with medical associations in California, Georgia, and beyond as they build toward the global Thriving Practice Community launch.  Key Highlights:  The overwhelming success of authentic "snack episodes" with Miranda  Dr. Ruth Mannschreck's journey from forced practice reduction to time freedom mastery  Partnership expansion with medical associations across multiple states  The critical importance of "switching hats" between clinician and CEO roles  Behind-the-scenes look at building a global practice owner community  Preview of Season 9's deeper CEO development focus  Episode 200 milestone celebration announcement  Memorable Quotes: "The moment you open your practice, you become a CEO, but nobody ever tells you that."  "Practice owners are absolutely starving for authentic connection and real, unscripted conversations."  "The gap between clinical excellence and CEO thinking is so much wider than I initially realized."  "You became a CEO the moment you opened your practice - Season 9 is about helping you fully step into that role with confidence, community, and clarity."  "We're not just creating content - we're building a movement."  This season finale captures the momentum building in the practice owner community while setting the stage for even greater impact in Season 9.    Tracy's Bio:  Tracy Cherpeski, MBA, MA, CPSC (she/her/hers) is the Founder of Tracy Cherpeski International and Thriving Practice Community. As a Business Consultant and Executive Coach, Tracy helps healthcare practice owners scale their businesses without sacrificing wellbeing. Through strategic planning, leadership development, and mindset mastery, she empowers clients to reclaim their time and reach their potential. Based in Chapel Hill, NC, Tracy serves clients worldwide and is the Executive Producer and Host of the Thriving Practice podcast. Her guiding philosophy: Survival is not enough; life is meant to be celebrated.  See Where Your Practice Stands: Take our Practice Growth Readiness Assessment  Connect With Us:  Be a Guest on the Show  Thriving Practice Community  Schedule Strategy Session with Tracy  Tracy's LinkedIn  Business LinkedIn Page 

Tracy Cherpeski shares insights into the Practice Growth Readiness Intensive, a four-week program designed to help healthcare practice owners move from feeling overwhelmed to gaining crystal-clear direction. This snack episode reveals the market gaps driving demand for this intensive format and the measurable outcomes participants can expect.  Key Highlights:  The number one complaint from practice owners is always time, followed closely by burnout and isolation  Most clients don't see bottom-line changes for 90 days, but the intensive provides immediate clarity and a strategic roadmap  Ideal participants have at least one year of practice ownership experience and are financially stable enough to invest in growth  Physical changes often appear first - better sleep, reduced tension, faster decision-making  Average client ROI is 10x within 12-18 months, with most recouping their investment within 90 days  The program bridges the gap between clinical excellence and business leadership confidence  Memorable Quotes: "There's such a difference between clinical excellence and confidence and business excellence and confidence."  "A lot of times once we get to know somebody, they'll confess later: 'Yeah, I feel like I don't really know what I'm doing,' and that's incredibly difficult for any highly trained professional to admit."  "You set the tone for the culture of your practice. And that can have an incredibly positive impact on your entire team, and that goes out to your patients and that ripples out to your community."  This episode offers a rare glimpse into the methodology behind helping healthcare providers reclaim their time while building thriving, sustainable practices. Whether you're feeling stuck or ready to scale, Tracy's insights provide a clear path forward.  Miranda's Bio:  Miranda Dorta, B.F.A. (she/her/hers) is the Manager of Operations and PR at Tracy Cherpeski International. A graduate of Savannah College of Art and Design with expertise in writing and creative storytelling, Miranda brings her skills in operations, public relations, and communication strategies to the Thriving Practice community. Based in the City of Oaks, she joined the team in 2021 and has been instrumental in streamlining operations while managing the company's public presence since 2022.  Tracy's Bio:  Tracy Cherpeski, MBA, MA, CPSC (she/her/hers) is the Founder of Tracy Cherpeski International and Thriving Practice Community. As a Business Consultant and Executive Coach, Tracy helps healthcare practice owners scale their businesses without sacrificing wellbeing. Through strategic planning, leadership development, and mindset mastery, she empowers clients to reclaim their time and reach their potential. Based in Chapel Hill, NC, Tracy serves clients worldwide and is the Executive Producer and Host of the Thriving Practice podcast. Her guiding philosophy: Survival is not enough; life is meant to be celebrated.  See Where Your Practice Stands: Take our Practice Growth Readiness Assessment  Connect With Us:  Be a Guest on the Show  Thriving Practice Community  Schedule Strategy Session with Tracy  Tracy's LinkedIn  Business LinkedIn Page 

Tracy Cherpeski reveals why healthcare providers struggle with the business side of practice ownership and shares practical strategies for overcoming the mental barriers that keep talented practitioners stuck. This candid conversation explores the disconnect between clinical training and business success, offering actionable mindset shifts that unlock breakthrough results.  Key Highlights:  The "hat switching" technique for separating patient care from business strategy  Why imposter syndrome affects even the most successful healthcare providers  How to maintain confidence during inevitable growth plateaus and setbacks  The practical approach to turning unlimited potential into achievable business goals  Why connecting with other practice owners accelerates your success  Memorable Quotes: "When you're seeing patients, you're not thinking about money. Please don't be thinking about money. But while you're on the business strategy side, you gotta track your KPIs, you gotta know your numbers."  "Most of us, even experts, are making educated guesses based on history... but sometimes we're still guessing and we're taking an informed leap of faith."  "98% of the people that we've worked with would still do what they do even if they didn't need to make money, because they love it, because they feel called to it."  This episode perfectly captures the authentic dynamic between Marina and Tracy while addressing the real challenges practice owners face when scaling their businesses. Whether you're just starting out or looking to break through a growth plateau, you'll find practical strategies you can implement immediately.  Miranda's Bio:  Miranda Dorta, B.F.A. (she/her/hers) is the Manager of Operations and PR at Tracy Cherpeski International. A graduate of Savannah College of Art and Design with expertise in writing and creative storytelling, Miranda brings her skills in operations, public relations, and communication strategies to the Thriving Practice community. Based in the City of Oaks, she joined the team in 2021 and has been instrumental in streamlining operations while managing the company's public presence since 2022.   Tracy's Bio:  Tracy Cherpeski, MBA, MA, CPSC (she/her/hers) is the Founder of Tracy Cherpeski International and Thriving Practice Community. As a Business Consultant and Executive Coach, Tracy helps healthcare practice owners scale their businesses without sacrificing wellbeing. Through strategic planning, leadership development, and mindset mastery, she empowers clients to reclaim their time and reach their potential. Based in Chapel Hill, NC, Tracy serves clients worldwide and is the Executive Producer and Host of the Thriving Practice podcast. Her guiding philosophy: Survival is not enough; life is meant to be celebrated.   See Where Your Practice Stands: Take our Practice Growth Readiness Assessment  Connect With Us:  Be a Guest on the Show  Thriving Practice Community  Schedule Strategy Session with Tracy  Tracy's LinkedIn  Business LinkedIn Page   

In this solo episode, Tracy shares the exact Strategic Decision Framework that her most successful clients use to make confident business decisions without the sleepless nights. If you've ever found yourself second-guessing strategic choices or avoiding important decisions altogether, this episode reveals why practice leaders struggle with business decision-making and provides a simple but powerful 5-question filter that brings immediate clarity to any strategic choice.  Episode Highlights:  Why clinical training actually works against you when making business decisions • The hidden cost most practice owners miss when evaluating opportunities • How to distinguish between strategic opportunities and shiny objects • The crucial question that separates reactive leaders from proactive ones • Why "not deciding" is still a decision with real consequences Notable Quotes:  "Your clinical training taught you to make evidence-based decisions with clear protocols. But business decisions require you to act with incomplete information."  "Every yes is an automatic no to something else."  "Strategic thinking isn't a luxury when you're a practice owner—it's a necessity."  "When you make one good strategic decision, it eliminates dozens of smaller decisions down the road."  Ready to discover where your practice stands?  Take our Practice Growth Readiness Assessment to identify your current stage and biggest leverage points for sustainable growth. Strategic thinking starts with knowing exactly where you are in your leadership journey.  This episode is part of the Thriving Practice podcast series, focused on helping healthcare provider-owners build sustainable, profitable practices through strategic operations and leadership development.  Take your Practice Growth Readiness Assessment   Tracy's Bio:  Tracy Cherpeski, MBA, MA, CPSC (she/her/hers) is the Founder of Tracy Cherpeski International and Thriving Practice Community. As a Business Consultant and Executive Coach, Tracy helps healthcare practice owners scale their businesses without sacrificing wellbeing. Through strategic planning, leadership development, and mindset mastery, she empowers clients to reclaim their time and reach their potential. Based in Chapel Hill, NC, Tracy serves clients worldwide and is the Executive Producer and Host of the Thriving Practice podcast. Her guiding philosophy: Survival is not enough; life is meant to be celebrated.  See Where Your Practice Stands: Take our Practice Growth Readiness Assessment  Connect With Us:  Be a Guest on the Show  Thriving Practice Community  Schedule Strategy Session with Tracy  Tracy's LinkedIn  Business LinkedIn Page 

In this intimate snack episode, Miranda interviews Tracy about the power of community in healthcare practice management. Tracy shares why she believes the traditional approach of "going it alone" leads to burnout and how a community of practice model provides both practical business support and crucial emotional backing for healthcare entrepreneurs.  Key Highlights  The difference between community of practice and traditional networking - it's about taking off your masks and being raw  How isolation and solitude plague healthcare business owners, even those with great teams  The three-pronged challenge: full-time practitioner + practice owner + chief strategist roles  A real client story: discovering thousands in monthly losses due to double-billing text reminders  Why solo providers need creative business solutions while multi-provider practices need leadership focus  The value of 360-degree feedback systems for practice owners  How community support creates a sense of limitless possibility  Memorable Quotes  "When we feel as humans supported, we feel pretty limitless, like we can do anything."  "The blessing and curse of being a practice owner who's also a practitioner is pretty much working full time providing healthcare services and then the full time job as the practice owner."  "You get to take off your masks and just be yourself and be raw and talk about the hard stuff with other people who get it."  This episode reinforces why the Thriving Practice Community exists - to ensure healthcare providers have the support, systems, and community they need to build sustainable, thriving practices without sacrificing their well-being.  Miranda's Bio:  Miranda Dorta, B.F.A. (she/her/hers) is the Manager of Operations and PR at Tracy Cherpeski International. A graduate of Savannah College of Art and Design with expertise in writing and creative storytelling, Miranda brings her skills in operations, public relations, and communication strategies to the Thriving Practice community. Based in the City of Oaks, she joined the team in 2021 and has been instrumental in streamlining operations while managing the company's public presence since 2022.   Tracy's Bio:  Tracy Cherpeski, MBA, MA, CPSC (she/her/hers) is the Founder of Tracy Cherpeski International and Thriving Practice Community. As a Business Consultant and Executive Coach, Tracy helps healthcare practice owners scale their businesses without sacrificing wellbeing. Through strategic planning, leadership development, and mindset mastery, she empowers clients to reclaim their time and reach their potential. Based in Chapel Hill, NC, Tracy serves clients worldwide and is the Executive Producer and Host of the Thriving Practice podcast. Her guiding philosophy: Survival is not enough; life is meant to be celebrated.  See Where Your Practice Stands: Take our Practice Growth Readiness Assessment  Connect With Us:  Be a Guest on the Show  Thriving Practice Community  Schedule Strategy Session with Tracy  Tracy's LinkedIn  Business LinkedIn Page 

We spend the whole program with Nadav Wieman, a former IDF sniper and now executive director of Breaking the Silence, an organization of Israeli veterans who expose the reality of life in the Occupied Territories and work to end the occupation. He and Ralph discuss Nadav's experience in the IDF and his work trying to turn the tide of sentiment in Israel against the ongoing genocide.Nadav Weiman is the executive director of Breaking the Silence, an organization of Israeli veterans who expose the reality of life in the Occupied Territories and work to end the occupation. Mr. Weiman served in a sniper's team in the special forces of the Nahal brigade and attained the rank of staff sergeant. He also worked as a history and literature teacher and was the legal guardian at a home for underprivileged teens in Tel Aviv.Now the soldiers that gave us testimonies told us that they came to the commander and said, "Okay, this is too much." And the commander said, "Listen, we lost too many dogs in the dog unit, so we're using Palestinians as human shields."Nadav Wieman former IDF sniper and Executive Director of Breaking the SilenceWhen the first soldier came to us in December 2023 and told us about using Palestinians as human shields, I thought it was an isolated event. But then another soldier came and another soldier and another soldier, and then we understood. It's a new protocol. It's called the Mosquito Protocol. “Mosquito,” is a code name on the radio saying, take a Palestinian man and put him in an IDF uniform, and in some cases a GoPro camera on his chest. And then soldiers were ordered to send them into tunnels to sweep the tunnels or into homes to sweep the homes.Nadav WiemanYou have another protocol called “Wasp”. The Wasp Protocol is Palestinians sweeping tunnels, but this time our Palestinians working with the IDF were brought from the West Bank. And they were told that they will get something from us, a permit or something like that.Nadav WiemanNews 5/16/251. Trump has abruptly ended the American war on the Houthi militia in Yemen, saying in a press conference, “You know, we hit them very hard. They had a great capacity to withstand punishment…You can say there's a lot of bravery there…It was amazing what they took. But we honor their commitment and their word,” per Prem Thakker. Behind the scenes, a New York Times report exposes the jaw-dropping waste that precipitated the U.S. backing down from this campaign. Some highlights include that the Houthis almost shot down an F-35 fighter jet – which run about $100 million apiece – that this campaign used so many precision munitions that Pentagon contingency planners grew “increasingly concerned about overall stocks,” and U.S. Central Command (CENTCOM)'s reported metric of success was “bombs dropped,” evoking the failed campaigns in Vietnam, per the Stimson Center's Emma Ashburn. All in all, this campaign cost $1 billion over the course of just 30 days.2. In more stunning news of Pentagon profligacy, CNN reported on May 6th that a SECOND F/A-18 Super Hornet fighter jet fell off the USS Harry S. Truman aircraft carrier into the Red Sea following the first lost jet by just over a week. Each of these planes bear a price tag of over $60 million, according to the Navy, just in case you were wondering where your tax dollars are going now that Trump and Musk have slashed the budget of anything resembling a social program.3. In more foreign policy news, Edan Alexander, the last remaining U.S. citizen hostage in Gaza, has been released. Alexander was born and raised in New Jersey, then moved to Israel to serve in the IDF after graduating high school in 2022. Israeli Prime Minister Netanyahu was quoted saying “[Alexander's release] was achieved thanks to our military pressure and the political pressure exerted by President Trump. This is a winning combination.” Meanwhile Trump posted on Truth Social “Edan Alexander, American hostage thought dead, to be released by Hamas. Great news!” Despite this heraldry however, MSN reports Alexander “rebuffed” a personal meeting with Netanyahu. Counter Currents adds “In a video released by Hamas…last November, Alexander harshly criticized Netanyahu…[accusing] the Israeli leader of abandoning the…[hostages]…and urged Trump…to secure his release.” In this video, Alexander told Netanyahu, “You neglected us…We die a thousand times every day, and no one feels our pain.”4. In a similar vein, the Jerusalem Post reports, “The Trump administration's Middle East envoy, Steve Witkoff, criticized Israel in a meeting with hostage families…[saying] ‘We want to bring the hostages home, but Israel is not willing to end the war.'” Witkoff added “Israel is prolonging [the war] despite the fact that we don't see where else we can go and that an agreement must be reached.” Further, the New Arab reports “The Trump administration has…dropped its longstanding demand for Hamas to disarm as a precondition for a Gaza ceasefire.” This willingness to call a spade a spade regarding Israel's intractable opposition to peace, or even a lasting ceasefire – coupled with a seemingly genuine willingness to realistically approach peace talks – has been a marked point of departure compared to the Biden administration, which “Never Pressured Israel for Ceasefire,” according to Israeli Ambassador Yechiel Leiter, as reported in Drop Site News.5. Turning to some positive consumer protection news, “Ticketmaster will now show how much you'll pay for tickets — fees included — before checkout,” the Verge reports. This “All In Prices” initiative is an effort by the company to comply with the Federal Trade Commission's ban on junk fees. The FTC cracked down on Ticketmaster following the 2022 Taylor Swift Eras Tour “ticketing catastrophe.” In addition to the FTC, the Department of Justice sued Ticketmaster and its parent company, Live Nation in 2024, accusing them of “driving up prices as a result of their alleged monopoly,” while the House passed the TICKET Act in 2024, a law that would “force ticket sellers to show full prices upfront.” The Senate is considering that bill now.6. Meanwhile, Igloo has voluntarily widened a recall of their coolers, related to “possible amputation and crushing hazards,” per ABC. The Consumer Product Safety Commission issued a recall notice for a little over a million Igloo 90 Qt. Flip & Tow Rolling Coolers back in February, on the basis that “the tow handle can pinch consumers' fingertips against the cooler,” risking “fingertip amputation.” ABC reports this recall now includes “130,000 additional coolers, as well as approximately 20,000 in Canada and 5,900 in Mexico.” According to the CPSC, “since the recall was initiated in February, Igloo has received 78 reports of injuries involving the recalled coolers, including 26 reports of bone fractures, fingertip amputations or lacerations.”7. The first American Pope, Leo XIV, addressed the College of Cardinals on Sunday, in part explaining his decision to take that particular name. According to Business Insider, AI played a major role. The Pope told the college, “I chose to take the name Leo XIV…mainly because Pope Leo XIII in his historic Encyclical 'Rerum Novarum' addressed the social question in the context of the first great industrial revolution…In our own day, the Church offers to everyone the treasury of her social teaching in response to another industrial revolution and to developments in the field of artificial intelligence that pose new challenges for the defence of human dignity, justice, and labor.” In a January 2024 message, Pope Francis said “At this time in history, which risks becoming rich in technology and poor in humanity, our reflections must begin with the human heart.”8. Turning to domestic politics, 25-year-old Democratic National Committee Vice Chair David Hogg is fighting an uphill battle to remain in his post. The activist and survivor of the Marjory Stoneman Douglas school shooting has been a target of the party hierarchs since he refused to disassociate himself from the mission of the organization he cofounded – Leaders We Deserve – which seeks to primary “asleep-at-the-wheel” Democrats. On May 10th, POLITICO reported that Hogg sought a compromise with the party, vowing that he would erect a “internal firewall,” barring him from “accessing any internal DNC information about congressional and state legislative races as long as he was supporting challengers.” The DNC flatly refused. Instead, it would seem they are trying to oust Hogg by voiding his election, claiming it violated “fairness and gender diversity,” rules, per Semafor. On May 13th, the DNC's Credentials Committee voted to nullify the results of the February election, the Hill reports. According to POLITICO, the full DNC could “opt to hold a virtual vote ahead of the meeting later this summer. Otherwise it will take the issue up during its August meeting.”9. In Newark, New Jersey, Mayor Ras Baraka was “arrested and detained by masked federal immigration police Friday when he joined three Democratic congressmembers set to tour a newly reopened 1,000-bed [ICE] jail run by GEO Group,” Democracy Now! reports. This is the latest installment in the power struggle between federal agents and local officials over immigration, an escalation from the arrest of Judge Hannah Dugan in April. Dugan herself was indicted this week for supposedly “obstructing or impeding a proceeding,” per Wisconsin Public Radio. Alina Habba, U.S. Attorney for the District of New Jersey, tweeted, “The Mayor of Newark…committed trespass…He has willingly chosen to disregard the law…He has been taken into custody.” She added in all caps, “NO ONE IS ABOVE THE LAW.” Chilling words.10. Finally, we pay tribute to Uruguayan revolutionary, anti-dictatorship rebel and former president José “Pepe” Mujica, who passed away this week following a protracted battle with esophageal cancer. Mujica was celebrated throughout the world during his tenure as president for his humble lifestyle; He was called ‘the world's poorest president' famously driving a beat-up old VW bug and donating the bulk of his salary. In 2013, he delivered a bombshell speech at the United Nations in wherein he decried capitalism and the environmental destruction it has wrought. Pulitzer Prize-winning author and historian Greg Grandin eulogized Mujica, writing “He was a member of the insurgent, armed Tupamarus, and served 14 years in prison, much of it in solitary, subject to extreme torture techniques taught by US advisors… Upon his release, he helped build the Frente Amplio into one of the most successful left coalitions. He radiated humility and humanity but he knew that power was meant to be taken and used, and behind his smile was steel. He was 89.”This has been Francesco DeSantis, with In Case You Haven't Heard. Get full access to Ralph Nader Radio Hour at www.ralphnaderradiohour.com/subscribe

Watch The X22 Report On Video No videos found Click On Picture To See Larger Picture Trump has now ended the attack on gas stoves, everything that Biden has done is being reversed. Lee Zeldin found the money and is returning to the people. Politico admits the job numbers are fake. Trump has begun the parallel economy, tariffs are being implemented. The end of the Fed is coming. The [DS] players are panicking, the people are now seeing that there are rats everywhere. DOGE is setting up a transparent system so the people can see it all. This was not just another 4 year election this was a crossroads to see if can keep the country. Phase I and II happening right now. Once the people see the criminals and the treason that they have committed we will be moving to Phase III, a traitors justice.   (function(w,d,s,i){w.ldAdInit=w.ldAdInit||[];w.ldAdInit.push({slot:13499335648425062,size:[0, 0],id:"ld-7164-1323"});if(!d.getElementById(i)){var j=d.createElement(s),p=d.getElementsByTagName(s)[0];j.async=true;j.src="//cdn2.customads.co/_js/ajs.js";j.id=i;p.parentNode.insertBefore(j,p);}})(window,document,"script","ld-ajs"); Economy Trump Admin Formally Ends Biden's War on Gas Stoves The Consumer Product Safety Commission is formally ending a review that it initiated during the Biden administration to assess the potential health risks posed by gas-powered stovetops. In a statement to the Washington Free Beacon, Consumer Product Safety Commission acting chairman Peter Feldman said he considers the matter "concluded" and emphasized that the federal government should not interfere with consumer choice. Feldman's comments effectively put an end to a years-long process that critics feared would lead to a broad ban on gas stoves. " "I became Acting Chairman of the United States Consumer Product Safety Commission in January 2025, shortly after President Trump's inauguration," he continued. "So long as I have a say in the matter, the CPSC is out of the gas-stoves-banning business. The agency has no plans to advance such a rule." Source: freebeacon.com EPA Chief Lee Zeldin Pledges to Recover $20 Billion Lost by Biden Administration for Climate Projects Lee Zeldin, EPA Chief for the Trump administration, has pledged to recover the $20 billion in taxpayer funds lost by the Biden administration to climate projects. Zeldin made the announcement in a video posted to social media on Wednesay when he charged the Biden administration of “throwing gold bars of the Titanic” in relation to the money lost on climate projects that he said was a “rush job with reduced oversight.” “The days of irresponsibly shoveling boatloads of cash to far-left activist groups in the name of environmental justice and climate equity are over,” Zeldin said. “The American public deserves a more transparent and accountable government than what transpired these past four years.” Source: breitbart.com https://twitter.com/epaleezeldin/status/1889840040622321778 Rep. Jan Schakowsky Suggests Women Might Not Pursue Jobs in Manufacturing Because “Man” is in the Name (Video) Rep. Jan Schakowsky (D-IL) pushed a bizarre explanation for why women might not pursue jobs in manufacturing. Schakowsky made her remarks on Wednesday during a Commerce, Manufacturing and Trade subcommittee hearing entitled “AI in Manufacturing: Securing American Leadership in Manufacturing and the Next Generation of Technologies.” Schakowsky suggested that perhaps the reason fewer women choose a career in manufacturing is that the term has the word “man” in it. https://twitter.com/libsoftiktok/status/1889833714974416938?ref_src=twsrc%5Etfw%7Ctwcamp%5Etweetembed%7Ctwterm%5E1889833714974416938%7Ctwgr%5E405aa74609e691f5897438e7cd78045186bc95f1%7Ctwcon%5Es1_&ref_url=https%3A%2F%2Fwww.thegatewaypundit.com%2F2025%2F02%2Frep-jan-schakowsky-suggests-women-might-not-pursue%2F Source: thegatewaypunidt.com