Podcasts about epa

A.M. Edition for July 22. In a landmark agreement, President Trump okays a nuclear deal with Saudi Arabia. WSJ's Laurence Norman explains why the commercial deal has nuclear proliferation experts concerned and could shift the balance of power in the Middle East. Plus, utilities pledge to limit increases in electricity bills caused by the data-center buildout. And in a real-life cybersecurity nightmare, OpenAI admits that a pair of its models escaped the lab and hacked into another company. Luke Vargas hosts. Sign up for the WSJ's free What's News newsletter. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

View the Show Notes Page for This Episode Become a Member to Receive Exclusive Content Sign Up to Receive Peter's Weekly Newsletter In this "Ask Me Anything" (AMA) episode, Peter explores the evidence behind environmental pollution and its impact on long-term health, separating well-supported risks from less substantiated claims while providing a practical framework for deciding which exposures deserve attention. He explains what environmental pollution encompasses, where it fits within the broader hierarchy of longevity interventions, and why studying its health effects is uniquely challenging. Peter examines the evidence linking air pollution to disease and shares actionable strategies for improving indoor and outdoor air quality. He also discusses how noise and light pollution can influence sleep, cardiovascular health, and overall well-being, offering practical ways to reduce their effects in daily life. Finally, Peter takes an evidence-based look at electromagnetic fields (EMFs) and 5G technology, evaluating the current science and whether concerns about these exposures are supported by the available data. If you're not a subscriber and are listening on a podcast player, you'll only be able to hear a preview of the AMA. If you're a subscriber, you can now listen to this full episode on your private RSS feed or our website at the AMA #87 show notes page. If you are not a subscriber, you can learn more about the subscriber benefits here. We discuss: Defining environmental pollution and its role in longevity [1:45]; Why the topic of environmental pollution is both polarizing and difficult to study [6:00]; Where environmental exposures fit within the hierarchy of health priorities, and a framework for evaluating which environmental risks are worth addressing [13:15]; Understanding air pollution: the major pollutants and why PM2.5 is a key marker of health risk [16:00]; Indoor air pollution: why indoor air quality often matters most for reducing personal air pollution exposure [21:45]; How air pollution is measured and how the Air Quality Index (AQI) translates pollution data into practical guidance [25:00]; The health effects of air pollution: evidence linking exposure to respiratory and cardiovascular disease [27:00]; How air pollution causes disease: biological mechanisms linking pollution to respiratory and cardiovascular health [29:15]; Who is most susceptible to the health effects of air pollution? [31:45]; Understanding air pollution thresholds and the differences between WHO and EPA air quality guidelines [34:15]; Comparing acute air pollution events with chronic exposure and cumulative health risk [36:15]; Best strategies for mitigating air pollution exposure [38:00]; Noise pollution: effects on hearing, sleep, and cardiovascular health [44:30]; Measuring noise exposure and understanding the thresholds for hearing loss and chronic health effects [48:00]; Practical strategies to reduce noise exposure and protect your hearing [54:15]; Light pollution: defining light pollution and the importance of timing for circadian health [58:15]; The health effects of artificial light at night and the evidence behind blue light and blue light-blocking glasses [1:00:00]; Practical strategies for optimizing light exposure to support circadian rhythms and sleep [1:04:00]; Concerns about EMF and 5G exposure: understanding electromagnetic fields and the distinction between ionizing and non-ionizing radiation [1:06:30]; Evaluating the evidence linking radiofrequency electromagnetic fields to cancer risk [1:10:15]; Evaluating the evidence for electromagnetic hypersensitivity and EMF-related symptoms [1:14:00]; Practical recommendations for managing everyday EMF and 5G exposure and avoiding unnecessary interventions [1:15:30]; Prioritizing environmental exposures based on their impact on health and longevity [1:18:00]; The highest-ROI strategies for reducing environmental pollution exposure and protecting long-term health [1:19:30]; and More. Connect With Peter on Twitter, Instagram, Facebook and YouTube

→ KION| Visit getkion.com/DRG for 20% off Episode Description: Your skincare routine is not going to save you if you are deficient in the nutrients your skin is actually built from. And seven out of ten people in clinical practice are walking around with low omega-3 levels without knowing it. Angelo Keely is the co-founder of Kion and one of the most evidence-based minds in nutrition. This is his third time on Heal Thy Self and the conversation goes deep on fish oil, inflammation, seed oils, and why the supplements most people are taking are either the wrong thing, the wrong dose, or completely ineffective because they have never addressed the foundational nutrient deficiencies underneath. In this episode, you'll discover:  •   Why Gen Z is aging faster despite eating cleaner, and why spending money on skincare without fixing your nutrient deficiencies is like painting over a structural problem in a building  •    How omega-3s work at the red blood cell level, what it means for your cells to go from 4% to 8% omega-3 composition, and why that shift produces a 15% reduction in all cause mortality  •    The truth about seed oils vs saturated fat, including what the human data actually shows, why the influencer narrative is misleading, and what Angelo himself eats despite what the research says Plus what pro-resolving mediators actually do in the body, why ibuprofen sends the workers home while omega-3s fix the pothole, and how to know if your fish oil has already gone rancid before you open it. Find Kion: Website:https://www.getkion.comInstagram: ​​https://www.instagram.com/kion/?hl=en Timestamps:0:00 - Intro 2:07 - Meet Angelo Keely: Third Time on the Show, and the Fish Oil Conversation Changes Everything 6:45 - Rapid Fire: Seed Oils, Butter, and a Question That Might Surprise You 10:00 - What Angelo Was Doing Before Kion (And the Dark Adolescence He Came From) 13:00 - The Business Lesson That Took Ten Years to Learn 16:00 - Why Consistency Beats Everything Else (And How to Give 100% of Whatever You've Got) 21:00 - What Omega-3s Actually Are and Why Most People Are Dangerously Low 27:00 - How These Fatty Acids Literally Change the Structure of Your Blood Cells 30:00 - The Truth About Inflammation and What Omega-3s Are Actually Doing Inside You 33:00 - Fish Burps, Gross Taste and What That's Really Telling You About Your Fish Oil 35:00 - The Back-of-Bottle Math Trick That Reveals If Your Fish Oil Is Worth Taking 44:00 - The EPA vs. DHA Question (And What the Research Actually Recommends) 46:00 - Seed Oils: What the Human Data Actually Shows (vs. What Influencers Say) 52:00 - Tallow vs. Seed Oils for Cooking — What the Research Really Says 55:00 - Why Deep-Fried Food Is the Real Problem (Not Which Oil It's Cooked In) 58:00 - What Makes the Kion Omega Different and Where to Get It Learn more about your ad choices. Visit megaphone.fm/adchoices

TODAY ON THE ROBERT SCOTT BELL SHOW: RFK Jr. Reform, John Bush, Live Free Academy, Jaborandi, MAHA vs EPA, Alan Dershowitz, Founding Fathers and One Jewish Mother, Avocado Oil Fraud, Solar Reflection Satellites, and MORE! https://robertscottbell.com/rfk-jr-reform-john-bush-jaborandi-pesticides-not-limited-alan-dershowitz-avocado-oil-fraud-solar-reflection-satellite-lauch-approval-and-more/ Purpose and Character The use of copyrighted material on the website is for non-commercial, educational purposes, and is intended to provide benefit to the public through information, critique, teaching, scholarship, or research. Nature of Copyrighted Material Weensure that the copyrighted material used is for supplementary and illustrative purposes and that it contributes significantly to the user's understanding of the content in a non-detrimental way to the commercial value of the original content. Amount and Substantiality Our website uses only the necessary amount of copyrighted material to achieve the intended purpose and does not substitute for the original market of the copyrighted works. Effect on Market Value The use of copyrighted material on our website does not in any way diminish or affect the market value of the original work. We believe that our use constitutes a 'fair use' of any such copyrighted material as provided for in section 107 of the U.S. Copyright Law. If you believe that any content on the website violates your copyright, please contact us providing the necessary information, and we will take appropriate action to address your concern.

President Trump's EPA is making major changes that could affect millions of American drivers, farmers, truckers, and vehicle owners. On this episode of The Tudor Dixon Podcast, Tudor is joined by EPA Administrator Lee Zeldin to discuss the Trump administration's new "Freedom to Fix" initiative, which expands Right to Repair protections and aims to give Americans greater control over repairing and maintaining their own vehicles. They also discuss the administration's efforts to eliminate unpopular auto start-stop technology incentives, reform diesel emissions regulations, reduce unnecessary government enforcement, and increase consumer choice in the auto industry.See omnystudio.com/listener for privacy information.

Steve Beres and Ike Goss recap Goodwood news, including JLR's fully electric Range Rover with an estimated 300-mile EPA range, a $130,000 starting price, and confirmation of a Range Rover Sport EV, plus a new single JLR app replacing multiple remote apps. They discuss JLR halting China-market vehicle production at its Chengshu plant as it shifts to building the Freelander under a Chery joint venture while continuing exports to China. The pair then tour notable Bring a Trailer listings, including a refurbished, bright orange Turkish Autocar-built Defender 110 with a carbureted 3.5 V8 and a heavily dented front differential, and a rare NAS Defender-style yellow camping trailer with a fold-out tent and period-correct details. They also preview attending the upcoming National Rally.

*Cattle prices have been in a free fall.  *Cotton gins across Texas are receiving grant funds from the AgLink Continuity Grant Program.  *House Republicans are pushing for a $12 billion farm aid package. *Can planting newer corn hybrids allow farmers to use less nitrogen?  *The summer heat can bring a lot of challenges for hog producers.  *The EPA is considering a proposal that would eliminate DEF deratements. *Landscapes in Texas have changed a lot over the past few years.  *Breakover of the hoof is an important concept for horse owners to understand.  

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

Fuel costs are quietly eating away at your profit every single week — and most landscapers just accept it as the cost of doing business. But what if you could cut your fuel costs by more than half, get your crews on the job site faster, and actually win more bids because you're running a cleaner, greener operation? In this episode, Scott sits down with Michael Newland from PERC, the Propane Education & Research Council, to break down everything a lawn care or landscape business owner needs to know about propane-powered commercial mowing equipment. They cover the real numbers — commercial accounts running propane at under $1.30 a gallon while gasoline sits near $4 — and why the companies that make the switch almost never go back. Michael also walks through the fueling logistics that scare most people off (spoiler: it's easier than you think), how EPA-certified conversion kits work for almost every major mower brand, what the safety basics look like, and how you can try propane equipment on your own accounts for free through PERC's national demonstration program. If you've been watching your fuel bill climb and wondering if there's a better way, this episode is for you. What you'll learn in this episode: •Why commercial fleets are running propane at under $1.30 a gallon while others pay $4 or more for gasoline •The three ways to handle propane fueling — from simple cylinder exchange to on-site bulk systems •How propane burns so clean it can extend engine life and reduce maintenance costs •Which major mower brands (Exmark, Toro, John Deere, and more) can be converted with EPA-certified kits •The hidden productivity cost of sending crews to the gas station every day •Safety basics for storing, transporting, and swapping cylinders on the job •How to apply for PERC's free demo program and try propane on your own properties   Connect with Michael Newland and PERC: Website: propane.com Email: michael.newland@propane.com Demo Program: Search "propane landscape demonstration program" at propane.com and click Apply Now     Follow Million Dollar Landscaper: Website | Facebook | Instagram | YouTube   #MillionDollarLandscaper #LandscapingBusiness #LawnCareBusiness #Propane #savemoney #savefuelcosts  

Aughie and Nia finish this year's big Supreme Court rulings with three cases: Chatrie v United States, Monsanto Company v Durnell, and Landor v. Louisiana Department of Corrections and Public Safety. Chatrie centered on the use of geofencing warrants under the 4th Amendment. Monsanto argued that only the EPA could label its products cancer-causing, which the EPA has declined to do. Landor centered on immunity of guards to be individually sued for violating a prisoner's religious rights.

Agriculture's top headlines this week focus on the policy decisions, trade developments and market forces influencing producers as the growing season continues. Additional headlines include Corn Congress in Washington D.C., where growers are advocating for new demand and trade opportunities, along with China's latest soybean import figures and proposed EPA changes to diesel engine regulations. We also cover ag labor reform, water infrastructure legislation and the latest crop progress report. This week's interview is with Arlan Suderman, chief commodities economist at StoneX, who joins Delaney Howell at the NAFB Summer Showcase to discuss the latest developments in the grain markets. They break down the factors influencing recent price fluctuations, what has changed over the past several weeks, and what producers should keep an eye on as the growing season continues. Stay connected with us for daily agriculture content on Instagram, TikTok, Facebook, and YouTube, along with our weekly videos!

Was ist eigentlich aus Project No Time geworden? Nach der Challenge Roth ziehen Nick und Nils eine ehrliche Bilanz: Aus lockerem Training ohne Zeitdruck wurde in den letzten Wochen doch wieder ein Alltag, der sich um Einheiten, Heat-Training, Ernährung und Regeneration drehte. Die große Frage: Kann eine Langdistanz überhaupt ein Hobby bleiben – oder übernimmt sie zwangsläufig das ganze Leben?Außerdem sprechen die beiden über Perfektionismus und Trainings-Gamification, die Balance zwischen Sport, Familie und Beruf sowie den berüchtigten Ironman Blues nach dem großen Rennen. Warum weniger Training nicht automatisch Formverlust bedeutet, weshalb neue Ziele und lockere Bewegung helfen können – und warum eine Halbdistanz manchmal einfach die bessere Idee ist. Zum Abschluss gibt's die Race-Prediction für den Ironman Lake Placid und die Frage, wie realistisch Freds nächster Schritt in Richtung Kona ist. Werbung: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠PUSHING LIMITS CLUB⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Deine All-in-One Trainingsapp für Triathlon, Radfahren und mehr! Alles, was du für dein Training brauchst – immer griffbereit.

Can you all tell that I'm fed up? Welcome back to the Schauer Thoughts, this week we're going to be a real pain in the behind to some massive corporations and *of course* the government - they have TRULY deserved this.  For too long the healthcare system has proposed a “pull yourself up by your bootstraps” approach to health and wellness, but I ask y'all this, if it doesn't work for the economy, why would it work for your health? Is that to say that we should all give up completely and stop taking care of ourselves? No. However, I am saying that we need to cut ourselves, everyone, neighbors, friends, etc. A LOT of slack. We are living in a polluted, corrupt hellscape and there's only so much one can do to fight constant, all-consuming, non-consensual toxins.  Eat what you want, be who you want, stick it to the man, have some semblance of fun. Books: Paradise Falls - Keith O'Brien Ten Drugs - Thomas Hager A Silent Fire - Shilpa Ravella Seed Money - Bartow J. Elmore Healing the Land Teaches Us Who We Are - Maceo Carrillo Martinet, PhD The Making of DSM-III - Hannah Decker Bleed - Tracey Lindeman The Wahls Protocol - Terry Wahls, MD - For a lot of the information on Vitamin D3, I got from this book - pages 324 - 331. Community Supported Agriculture (CSA) https://www.countyhealthrankings.org/strategies-and-solutions/what-works-for-health/strategies/community-supported-agriculture-csa  Online Resources for Food and Sustainability https://sustainablefoodprocessing.cals.iastate.edu/online-resources-food-and-sustainability Sources: Corporate Research Project https://www.corp-research.org/home-page UCSF - University of California San Francisco - Industry Documents Library https://www.industrydocuments.ucsf.edu/home/ Inflammation Forces Brain Stem Cells to Halt Neurogenesis https://neurosciencenews.com/inflammation-neurogenesis-31011/ Bacteria Turn Toxic Uranium Into a Surprisingly Stable Compound https://scitechdaily.com/bacteria-turn-toxic-uranium-into-a-surprisingly-stable-compound/ Who Tests the Product-Testing Labs? https://www.nytimes.com/1983/05/22/weekinreview/who-tests-the-product-testing-labs.html?eafs_enabled=false How the EPA and the Pentagon Downplayed a Growing Toxic Threat https://www.propublica.org/article/how-the-epa-and-the-pentagon-downplayed-toxic-pfas-chemicals Diagnostic Patterns of Family Physicians for Somatoform, Depressive, and Anxiety Disorders (1983) https://cdn-uat.mdedge.com/files/s3fs-public/jfp-archived-issues/1983-volume_16-17/JFP_1983-09_v17_i3_diagnostic-patterns-of-family-physicians.pdf  Defense Environmental Restoration Program  https://www.denix.osd.mil/derp/  Historical Summary - Times Beach, Missouri https://cdn.toxicdocs.org/XO/XOyxbB3DMBedVoKqZBroRnEMK/XOyxbB3DMBedVoKqZBroRnEMK.pdf New Study Analyzes Burden of Endometriosis https://www.endonews.com/new-study-analyzes-burden-of-endometriosis Study is cited within the EndoNews article. Drug Firm Consolidation Roche to acquire Syntex for $5.3 Billion https://pubs.acs.org/doi/10.1021/cen-v072n019.p004 Roche Diagnostics: Value-based purchasing https://diagnostics.roche.com/global/en/healthcare-transformers/article/value-based-procurement-healthcare.html Afghanistan Uranium Mining: 2025 Opportunities & Risks https://farmonaut.com/mining/afghanistan-uranium-mining-2025-opportunities-risks Uranium in Niger  https://world-nuclear.org/information-library/country-profiles/countries-g-n/niger Uranium Glass - A Guide to Art Deco Uranium Glass https://www.artdeco1930.com/uranium-glass-guide/ Depleted Uranium  https://www.epa.gov/radtown/depleted-uranium Health Effects of Particulate Uranium Exposure  https://pmc.ncbi.nlm.nih.gov/articles/PMC9610560/ Endocrine Disruptors: Focus on the Adrenal Cortex https://pmc.ncbi.nlm.nih.gov/articles/PMC10764154/ Emerging health risks and underlying toxicological mechanisms of uranium contamination: Lessons from the past two decades https://www.sciencedirect.com/science/article/pii/S0160412020320626#s0100 Endothelial Dysfunction, Erectile Dysfunction, and Coronary Heart Disease: The Pathophysiologic and Clinical Linkage https://pmc.ncbi.nlm.nih.gov/articles/PMC1502382/ Uncoupled glycerol-3-phosphate shuttle in kidney cancer reveals that cytosolic GPD is essential to support lipid synthesis https://www.sciencedirect.com/science/article/pii/S1097276523002137  Cytochrome c oxidase deficiency accelerates mitochondrial apoptosis by activating ceramide synthase 6 https://pmc.ncbi.nlm.nih.gov/articles/PMC4385940/ Vitamin D Receptor is Necessary for Mitochondrial Function and Cell Health https://pmc.ncbi.nlm.nih.gov/articles/PMC6032156/ Association between vitamin D and endometriosis among American women: National Health and Nutrition Examination Survey https://pmc.ncbi.nlm.nih.gov/articles/PMC10786361/ Barbara McClintock and the Discovery of Jumping Genes (Transposons) https://www.nature.com/scitable/topicpage/barbara-mcclintock-and-the-discovery-of-jumping-34083/ Human Health Toxicity Assessment of GenX Chemicals https://www.epa.gov/chemical-research/human-health-toxicity-assessments-genx-chemicals DuPont Deepwater Works https://www.wsj.com/graphics/waste-lands/site/141-dupont-deepwater-works/?eafs_enabled=false DuPont's Decade Long Legacy of Crime: 1980s https://themeaningofwater.com/2024/03/03/duponts-decades-long-legacy-of-crime-1980s/  -If I forgot any resource, please lmk via IG DM (it's easiest for me) and I'll send that over to you. There was just so much so I expect I'll forget some. Learn more about your ad choices. Visit podcastchoices.com/adchoices

The Tim Conway Jr Show Hour 2 (7.15) Back in Boyle Heights, the nightmare continues after the massive cold-storage warehouse fire — 85 million pounds of rotting food is creating a vile stench, swarms of flies, rodents, a burst water main, and now oppressive humid summer heat on top of it all. They’ve only removed about 1.4 million pounds so far, and Timmy figures it’ll take years to clean up the mess while the EPA starts handing out fines. In much lighter news, longtime KFI board operator and resident sexpert Sam Zia joins Timmy in studio to celebrate his big move to Spain after 25 years with the station — complete with a bag full of dildos and butt plugs (relax, he’s a sex therapist, it checks out!). KTLA reporter Rachel Menitoff stayed ice-cold during a live shot when a giant flying cockroach landed on her head and crawled down her chest — true professional. Two corpse flowers are blooming at the Huntington Library, treating visitors to their signature rotting-flesh stench for 24–48 hours, and Grocery Outlet Bargain Market is expanding across Southern California. See omnystudio.com/listener for privacy information.

**Jeep Talk Show: Tire Tread Depth for Lockers, GoPro Struggles, Jeep Sales, Maserati Drama & Josh's Parking Rant!** Join Tony and Josh on the Jeep Talk Show for a fun, no-holds-barred conversation covering essential Jeep maintenance, industry news, and plenty of real-talk banter. From measuring tire tread depth with lockers in mind to GoPro's challenges, Stellantis/Jeep sales updates, Maserati's future, and Josh's epic rant on terrible parkers — this episode has it all. **Key Highlights:** - Tire tread depth guidelines for 4WD vehicles and lockers (quarter to half inch circumference difference tolerance) - Why deeper tread matters for off-road traction in mud, rocks, and snow - Practical replacement recommendations and the penny test - GoPro's financial troubles, competition from DJI/Insta360, and the rise of affordable alternatives + drones - Jeep brand sales under Stellantis (Q2 updates and broader industry trends) - Maserati partnership talks instead of sale — luxury EV strategy with Chinese firms - Show updates: Remastered classic XJ Talk Show episodes now on YouTube (audio-only with Grok reviews!) - Josh's "Get the [redacted] out the way" parking and driving frustration segment **Timestamps:** 00:00 Intro banter and rest‑stop musings 01:02 Tire tread depth and drivetrain lock 04:23 Differential heating, fluid limits, limited‑slip diffs 06:39 Tire wear limits and replacement advice 07:34 Dangers of shallow tread and traction loss 08:59 Common‑sense tire maintenance reminders 11:10 GoPro struggles amid competition and AI costs 12:36 Drone rise and phone camera alternatives 14:28 Multi‑angle off‑road video strategies 15:36 Show distribution, links, and new features 17:28 Video editing and GoPro sync challenges 18:36 DIY overhead camera mount with Hero 3 19:30 Early rigs before drones and concluding note 21:48 Jeep sales trends and Stellantis overview 25:12 EPA standards, diesel fluid, and regulations 28:49 Maserati's future and Stellantis partnerships 35:34 Wrap‑up and audience engagement 37:27 Show upgrades: Grok reviews and tech 40:44 Parking etiquette and driver responsibility 44:03 Call‑out for better parking behavior 46:01 Proposed windshield stickers for safe parking 46:25 Voicemail submissions and community interaction 48:55 Voicemail promotion, milestones, and thanks 50:23 Final farewell and friendship If you enjoy the Jeep Talk Show, please **like, subscribe, and hit the notification bell** so you never miss an episode! Drop a comment below with your thoughts on tire maintenance, GoPro alternatives, or your own parking horror stories.

They fined him $18 million. He built a diesel empire anyway. Jerad Wittwer grew up the son of a St. George milkman and rancher, overhauled his first engine at 13, and turned a passion for horsepower into Performance Diesel Inc. (PDI) — one of the most recognized names in diesel performance. But the road there ran straight through one of the most controversial chapters in trucking: EPA investigations, deleted trucks, and an $18 million federal fine. In this episode, Jerad sits down with Jared Flinn for an unfiltered conversation about the whole journey — the rise, the reckoning, and the redemption.  He opens up about the mistakes he made at the top, how his faith and family pulled him back, and how PDI reinvented itself into a manufacturer building 12,000+ part numbers that beat OEM quality. Today the company is on track for $55–60 million in revenue, growing 22% a year — and Jerad still isn't for sale. This is a story about horsepower, risk, faith, and the relentless pursuit of building something better.  ⏱️ CHAPTERS 0:00 – Welcome & St. George Roots 2:07 – His Grandpa, His Dad & the Milk Route 6:08 – Work Ethic & Overhauling His First Engine at 13 9:57 – Trade School & Early Mechanic Days 12:02 – Marriage, the Milk Route & a Walmart Detour 17:33 – Taking the Leap: Starting Performance Diesel 21:57 – The Tune-Up Boom Years 28:28 – "The Smoke Don't Mean It's Broke" 30:35 – Getting Into Semis & Manufacturing Parts 35:00 – When Emissions Regulations Hit 37:00 – The EPA Comes Knocking 44:58 – The $18 Million Fine 46:07 – The Comeback & Being the Only Company Released 47:36 – Reinventing PDI: 12,000 Parts & Better Than OEM 54:01 – Going Global & the "Gucci of Diesel" 55:45 – The Partner Buyout & Funding Growth 1:01:37 – Vision, Family & the $200 Million Goal 1:08:16 – The Future of Trucking: Autonomous & Electric 1:11:27 – Faith, Peace & Staying Grounded 1:16:14 – Dream It & Do It

Wade LaLone of Diesel Freak shares his story on today's episode. He takes us through the day EPA officials and law enforcement arrived at his shop, the years of uncertainty that followed, his federal felony conviction under the Clean Air Act, and ultimately receiving a Presidential Pardon. We discuss the emotional toll the case took on him, his family, and the diesel community, as well as why he says the pardon gave him the opportunity to move forward with his life. ➨ BECOME A PATREON: https://www.patreon.com/thedieselpodcast -------------------------------- Protect your privacy with ExpressVPN: Get 4 extra months FREE! Go to: https://www.expressvpn.com/diesel -------------------------------- 20% off HOT SHOT'S SECRET with code: DIESELPOD20 https://www.hotshotsecret.com/shop/ -------------------------------- 20% OFF KERSHAW KNIVES with code: TDP4020266 Discount code valid until September 1, 2026 20% off your entire cart at Kershaw Knives with code: TDP4020266 FREE Shipping over $50 *Offer valid through 9/1/26 at 11:59 pm Pacific. Discount is applied before tax and shipping. The discount code must be added at the time of checkout, it cannot be added retroactively. The discount is off entire cart. No substitutes, backorders, or additional discounts can be applied.* https://kershaw.kaiusa.com/ Learn more about your ad choices. Visit megaphone.fm/adchoices

Jim Moore, VP of OEM & Product Development at SEMA, joins the show from SEMA Garage in Diamond Bar, CA to break down the EPA's new ruling recognizing SEMA Certified emissions as a legal pathway, how CAD data and Tech Transfer help aftermarket manufacturers build parts, and why the fight over ADAS and the Right to Modify is the next big battle for the industry. Take your build up a whole new level with 6XD Gearbox: https://6xdgearbox.com Code "Minnoxide5" for 5% off High Performance Academy: https://hpcdmy.co/Minnoxide Use code "MINNOX" for 55% off ANY course Use Code "MINVIP" for $300 of the MINVIP Package Tuned By Shawn: https://www.tunedbyshawn.com Code "Minnoxide" for 5% off! Ship With Sure Thing Logistics: https://www.surethinglogistics.net MORE BIGGER Turbo T-Shirts: https://www.minnoxide.com/products/more-bigger-t-shirt 0:00 Visiting SEMA Garage and Meeting Jim Moore 5:14 CAD Data, Reverse Engineering & What Is SEMA Garage 14:21 The June 29 EPA Ruling: History of Emissions Regs & SEMA Certified 20:29 How SEMA Garage Helps Small & Large Manufacturers 26:54 SEMA's Economic Impact & Jim's Automotive Roots 32:06 Software-Defined Vehicles 37:49 Growing SEMA: Goals & Protecting Modification Rights 43:31 ADAS Regulation: Getting Ahead of the Next Fight 49:17 Modern Tech, Classic Cars, Crate Engines & EO Certification 54:43 Decoding the VECI Label & Engine Families 1:00:26 From Aftermarket to Factory, Trends, Trucks & Powersports 1:05:58 The Real Cost of Skipping Compliance: Counterfeits & Consequences 1:11:44 Joining SEMA: Costs, Member Benefits & CAD Data Access 1:17:23 PRI, Small Track Advocacy & Trump's Right-to-Repair Order 1:22:13 How SEMA Got the President's Attention

The latest episode of Enhesa's Chemical Watch News & Insight podcast discusses the ambitious slate of TSCA actions outlined in the US government's recent update to the unified regulatory agenda, as well as the timing of anticipated proposals from the Food and Drug Administration.North America managing editor Kelly Franklin joins the podcast to talk about the many chemicals-related actions the EPA hopes to release in the coming months, including as many as ten major proposed or finalised TSCA rules in July alone. We also discuss the FDA's planned timelines to release proposals that would amend the GRAS process, restrict formaldehyde-releasers in hair products and mandate the disclosure of fragrance allergens in cosmetics. Tune in to catch the full episode! Then come back to read all the latest developments in chemicals policy from Enhesa's Chemical Watch News & Insight. Have a podcast idea or a comment to share? Let us know by emailing the editor at Terry.Hyland@Enhesa.com. 

Can you delete your truck now? Can the EPA still fine you? Did the recent EPA pardons actually change anything? In this episode of The Diesel Podcast, attorney Stewart D. Cables breaks down what the recent EPA pardons actually mean for diesel truck owners, repair shops, tuners, and the aftermarket industry. We separate fact from fiction and explain what changed, what didn't change, and what you should know before making any decisions. If you've been wondering whether diesel deletes are legal again, whether EPA emissions enforcement has changed, or what these pardons really mean, this conversation provides a factual legal explanation without the rumors or misinformation circulating online. Topics covered: • Can you legally delete your diesel truck? • Can the EPA still issue fines? • What the recent EPA pardons actually changed • What they did NOT change • How federal emissions enforcement works • What diesel owners and repair shops should know moving forward Stewart D. Cables is a founding partner of Hassan + Cables. Stewart specializes in general business representation and a variety of trial work. Stewart's practice areas include complex civil litigation, employment law, criminal and DUI defense, transactional work for corporations and LLCs, and counsel for non-profit entities. Stewart D. Cables is a founding partner of Hassan + Cables. Stewart specializes in general business representation and a variety of trial work. Stewart's practice areas include complex civil litigation, employment law, criminal and DUI defense, transactional work for corporations and LLCs, and counsel for non-profit entities. Stewart Cables E: stewart@hassancables.com P: 303-625-1025 ext.2 https://www.hassancables.com/stewart-d-cables -------------------------------- Disclaimer: This video is for general information purposes only. It is not intended to provide legal advice of any kind. No one should act, or refrain from acting, based solely upon the information provided on this podcast, without first seeking appropriate legal or other professional advice. ➨ BECOME A PATREON: https://www.patreon.com/thedieselpodcast Learn more about your ad choices. Visit megaphone.fm/adchoices

Alex LeBeau, Ph.D., M.P.H., CIH is the owner of Exposure Assessment Consulting LLC in Orlando, Florida, where he offers toxicology, industrial hygiene, risk assessment, and public health consulting services. Over his 13-year career, he has evaluated environmental and occupational exposures and has performed toxicological evaluations of chemicals and biological agents. He has also performed human health risk assessments of contaminated sites using U.S. Environmental Protection Agency (EPA) and state regulatory guidelines and has monitored remediation activities at those sites. To evaluate the exposure impacts on building occupants, he has performed indoor environmental quality assessments, including Legionella and water quality assessments, at healthcare, residential, and industrial facilities. Dr. LeBeau has been a co-author on industry guidance for COVID-19 issues. He has also been retained as a testifying expert witness and provided consultation on several occupational and environmental exposure claims. Finally, Dr. LeBeau has authored safety assessments on consumer products, including antimicrobial pesticide registration dossiers, Generally Recognized as Safe (GRAS) determinations for food ingredients following U.S. Food and Drug Administration (FDA) regulations for scientific procedures, and submitted a health claim petition to the FDA that was successfully accepted by the agency. In this episode of Food Safety Matters, we speak with Dr. LeBeau [26:40] about: The Healthy Florida First contaminant testing initiative for food products, which has notably raised concerns about arsenic in candy Gaps around Healthy Florida First's testing methodology, data reporting, and transparency that make the contaminant findings difficult to interpret in a scientific context How arsenic is typically evaluated in food products and what factors are relevant to determine whether detected levels are significant to human health Why detection does not always equate to danger (i.e., the difference between hazard identification and risk assessment) The exposure assumptions and risk calculations that are required to translate contaminant testing results into a realistic assessment of consumer risk How FDA and EPA typically conduct exposure science and toxicological risk assessments for contaminants in food, and how Healthy Florida First's approach compares Best practices for the communication of contaminant testing results to ensure the information is accurate, transparent, and responsibly interpreted by both industry and consumers. News and Resources News Novel C. Botulinum Test for Infant Formula Developed After ByHeart Study Reveals Industry Standard Falls Short [1:54] Infant Formula Brands Behind Botulism Outbreaks Used Same Organic Whole Milk Supplier [3:57] USDA-FSIS Announces Pilot Program to Evaluate Salmonella Control Strategies in Raw Poultry Establishments [10:29] EU Report on Food Safety Alerts Highlights Top Hazards, Major Incidents in 2025 [14:04] California Law Standardizing 'Best By' Dates Now in Effect: What Packaged Food Manufacturers Need to Know [19:16] Resources Florida Contaminant Testing Program Raises Concerns Over Arsenic in Candy Exposure Assessment Consulting We Want to Hear from You! Please send us your questions and suggestions to podcast@food-safety.com

In this week's episode of FTR's Trucking Market Update podcast, we discuss EPA's proposed changes in NOx emissions regulations, a milestone for trucking market conditions from the carrier perspective, notable changes in diesel prices and the spot market for trucking freight, and a handful of general economic indicators.The Trucking Market Update is hosted by FTR's Vice President of Trucking, Avery Vise. As this information is presented, you are welcome to follow along and look at the graphs and indicators yourself by downloading the presentation.Download the PDF: https://ftrintel.com/trucking-podcastSupport the show

Devil's urine. That's what Dupont employees called PFAS. These toxic, human made forever chemicals are now in the blood of almost every human on the planet. They are found in drinking water around the world, even Antarctica. And they are used in a broad range of consumer products, like non-stick cookware, stain-resistant clothing, waterproof items, dental floss, and even medical masks. These are only a few examples of many. This group of toxic chemicals, perfluoroalkyl and polyfluoroalkyl substances (PFAS), permanently concentrates in your body and the environment. You can't get rid of them. In fact, they bioaccumulate, meaning they get worse and worse. The public awareness from uncovering of the truth behind Dupont's misdeeds now contaminating much of the planet is tantamount to this generation's Silent Spring. Our guest Rob Bilott, is very much a Rachel Carson sort of figure who has stood up to the chemical industry as the lead attorney to bring light to the dangers of PFAS and its many variations. He fought and won a 20+ year battle against Dupont for the poisoning of over 70,000 people in West Virginia and Ohio. His work was even captured in the 2019 feature film, Dark Waters where he was portrayed by Mark Ruffalo. Rob has continued his groundbreaking work and is looking at the potential of a nationwide class action lawsuit as newer versions of PFAS emerge, unregulated and as dangerous as ever. In this interview from Summer 2022, we explore the history of PFAS, what exposure means, where it can be found, and what we can do. We also give an update from the actions of Trump's EPA to nbroaden use and exposure of these chemicals. More Info on the PFAS Presidency from Common Dreams: https://www.commondreams.org/news/pfas-pesticides-approval-epa Rob Bilott is a partner in the Cincinnati and Northern Kentucky offices of the law firm, Taft Stettinius & Hollister LLP [https://www.taftlaw.com/people/robert-a-bilott], where he has practiced in the Environmental and Litigation Groups for over 31 years. During that time, Rob has handled and led some of the most novel and complex cases in the country involving damage from exposure to per- and polyfluoroalkyl substances (“PFAS”), including the first individual, class action, mass tort, and multi-district litigation proceedings concerning the toxic chemical, recovering over $1 billion for impacted clients. Jessica Aldridge, Co-Host and Producer of EcoJustice Radio, is an environmental educator, community organizer, and 15-year waste industry leader. She is a co-founder of SoCal 350, organizer for ReusableLA, and founded Adventures in Waste. She is a former professor of Recycling and Resource Management at Santa Monica College, and an award recipient of the international 2021 Women in Sustainability Leadership and the 2016 inaugural Waste360, 40 Under 40. Podcast Website: http://ecojusticeradio.org/ Podcast Blog: https://www.wilderutopia.com/category/ecojustice-radio/ Support the Podcast: https://www.patreon.com/ecojusticeradio Guest: Rob Bilott Host and Producer: Jessica Aldridge Engineer and Original Music: Blake Quake Beats Executive Producer: Jack Eidt Created by: Mark and JP Morris

Send us Fan MailThe EPA has released its long-awaited proposal to revise the 2027 heavy-duty diesel emissions rules, but does it mean diesel owners can finally delete their trucks?In this episode, Tim Esterdahl breaks down what the proposal actually changes, including the plan to eliminate many DEF-related engine derates, reduce warranty requirements and delay some emissions durability standards. He also explains what didn't change, why DEF systems and emissions deletes remain a hot topic, and why many diesel enthusiasts may still be disappointed.If you've been following the diesel delete debate, this episode separates the headlines from the facts and explains what the EPA's proposal could mean for current and future diesel truck owners.Support the show

A Queensland grazier shares his experience hosting a visit from the boss of the new EPA, what it takes to select Brahman for sale, and what the escalation of conflict in the Strait of Hormuz means for fuel prices. 

The U.S. and its allies warn of Russian cyber threats targeting critical infrastructure as Europe rolls out new sanctions. Apple sues OpenAI over alleged trade secret theft. Progress investigates a potential ShareFile security incident, Zimbra patches a critical flaw, and researchers uncover the new CrashStealer macOS malware. Plus, the EPA tests water utility resilience, scammers clone trusted news sites, and our Monday business briefing. Our guest is Brandon Karpf, from NTT, discussing the 11th Japan-U.S. Cyber Dialogue. Californians smash that delete button. Remember to leave us a 5-star rating and review in your favorite podcast app. Miss an episode? Sign-up for our daily intelligence roundup, Daily Briefing, and you'll never miss a beat. And be sure to follow CyberWire Daily on LinkedIn. CyberWire Guest Today we are joined by Brandon Karpf, friend of the show discussing the 11th Japan-U.S. Cyber Dialogue. Selected Reading US and allies warn of Russian critical infrastructure attacks (Bleeping Computer) EU sanctions Russian GRU military hackers over cyberattacks (Bleeping Computer) OpenAI Hardware Biz Built with Apple Secrets, Apple Says (Gov Infosecurity) Progress Software Warns of External Security Threat to ShareFile (Infosecurity Magazine) Zimbra Patches Critical Code Execution Vulnerability (SecurityWeek) When Hackers Cut the Internet, Will the Water Still Flow? (BankInfo Security) ‘A very good clone': news stories faked to lure victims to scam investment sites (The Guardian) CrashStealer: C++ macOS infostealer posing as crash reporter (Jamf) Business Briefing for 07.08.26  (N2K Pro Business Briefing) 322,000 Californians sign up to have data brokers delete their personal information (Mercury News) Share your feedback. What do you think about CyberWire Daily? Please take a few minutes to share your thoughts with us by completing our brief listener survey. Thank you for helping us continue to improve our show. Want to hear your company in the show? N2K CyberWire helps you reach the industry's most influential leaders and operators, while building visibility, authority, and connectivity across the cybersecurity community. Learn more at sponsor.thecyberwire.com. The CyberWire is a production of N2K Networks, your source for strategic workforce intelligence. © N2K Networks, Inc. Learn more about your ad choices. Visit megaphone.fm/adchoices

Copper sounds like the perfect pool hack: add a “mineral system,” fight algae, and use less chlorine. The reality is more complicated, and that gap between marketing and chemistry is where stains, green hair, and unsafe water conditions show up. We're joined by industry legend Bob Lowry, whose voice and teaching still carry weight across the pool industry, to give a clear-eyed answer to the question pool owners ask every year: is copper safe to use in a swimming pool?We talk through how copper ionizers and mineral technology products work, what copper actually does well (algae control, some bacteria suppression), and why the “copper replaces chlorine” idea breaks down. A big theme is oxidation: copper doesn't burn off sunscreen, sweat, and other bather waste, so the pool still needs an oxidizer, and chlorine remains the most practical tool for that job. We also dig into real-world safety, including bather-to-bather disease transmission and why copper is too slow to be your primary sanitizer, plus what the EPA requires when ionizers are used.Then we get hands-on with the problems people see most: copper staining on plaster and the green-hair myth. We explain how copper gets into the water (including trichlor tabs in skimmers attacking copper equipment), how sequestrants degrade over time, and a smarter “one-two punch” for stain treatment using ascorbic or citric acid alongside products that actually remove metals from the water. If you want fewer surprises and better pool water chemistry, subscribe, share this with a pool owner who loves shortcuts, and leave a review telling us what copper problem you've run into most.We sit down with industry legend Bob Lowry and get honest about copper in pool water, from mineral systems to copper algaecides, and why the chemistry can turn on you fast. We break down what copper is good at, what it cannot do, and how to fix copper staining without draining the pool.  • copper mineral systems and how they add copper to the water  • copper's algae control benefits and why the effective level is close to the staining level  • why copper does not oxidize bather waste like sunscreen, sweat, and urine  • bather-to-bather disease transmission and why copper is not fast enough  • the EPA position on ionizers requiring chlorine alongside them  • the real cause of green hair and why chlorine is not to blame  • copper algaecides, built-in sequestrants, and how chlorine and sunlight degrade them  • a chlorine-first approach to killing algae and why it is cheaper and simpler  • stain removal without draining using ascorbic or citric acid plus metal removal bags  • tracking the metal source including tabs in skimmers, incoming water, equipment, water velocity, and new surfaces with iron  Are you a pool service pro looking to take your business to the next level? Join the Pool Guy Coaching Program. Get expert advice, business tips, exclusive content, and get direct support from me. Learn more at swimming poollearning.com.  Send us Fan MailSupport the Pool Guy Podcast Show Sponsors! HASA https://bit.ly/HASAThe Bottom Feeder. Save $100 with Code: DVB100https://store.thebottomfeeder.com/Try Skimmer FREE for 30 days:https://getskimmer.com/poolguy Get UPA Liability Insurance $64 a month! https://forms.gle/F9YoTWNQ8WnvT4QBAPool Guy Coaching: https://bit.ly/40wFE6y

Welcome to another Monday edition of FreightWaves Today! Hosts Craig Fuller and Julie Van de Kamp are back in the studio to break down a massive week for the logistics and transportation sectors. As the market continues its recovery, we tackle the latest geopolitical escalations impacting global shipping routes, preview the start of Q2 earnings season with JB Hunt, and look at how artificial intelligence is transforming truck financing and historical transactional standards like EDI. Featured guests: Tobias Waldeck – Chief Revenue Officer at Daimler Truck Financial Services. Tobias gives his perspective on exiting the longest freight recession on record, normalizing truck replacement cycles, and the booming flatbed activity driven by AI data center infrastructure. Kevin Bangston – CEO of Daimler Truck Finance. Kevin discusses the shifting ecosystem of captive truck financing, navigating final EPA emissions rulings, and utilizing AI for administrative relief and analytic predictability. Mark Vitner – Chief Economist at Piedmont Crescent Capital. Mark shares insights on the strengthening manufacturing sector, GDP growth forecasts for the second half of the year, inventory replenishment cycles, and the unique challenges facing the current housing market. Christopher Versace – Chief Investment Officer & Thematic Strategist at Tematic Research. Christopher analyzes logistics stocks, hyperscaler CapEx spends, chip demand, and why structural shifts in heavy truck orders keep him bullish heading into the Q2 earnings cycle. Erik Kiser – CEO & Founder of Orderful Technologies. Fresh off a $35 million funding round with Koch Disruptive Technologies, Eric highlights how Orderful is utilizing AI models to completely disrupt and automate traditional EDI onboarding experiences. ⁠Follow the FreightWaves Today Podcast⁠ ⁠Other FreightWaves Shows⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

Welcome to another Monday edition of FreightWaves Today! Hosts Craig Fuller and Julie Van de Kamp are back in the studio to break down a massive week for the logistics and transportation sectors. As the market continues its recovery, we tackle the latest geopolitical escalations impacting global shipping routes, preview the start of Q2 earnings season with JB Hunt, and look at how artificial intelligence is transforming truck financing and historical transactional standards like EDI. Featured guests: Tobias Waldeck – Chief Revenue Officer at Daimler Truck Financial Services. Tobias gives his perspective on exiting the longest freight recession on record, normalizing truck replacement cycles, and the booming flatbed activity driven by AI data center infrastructure. Kevin Bangston – CEO of Daimler Truck Finance. Kevin discusses the shifting ecosystem of captive truck financing, navigating final EPA emissions rulings, and utilizing AI for administrative relief and analytic predictability. Mark Vitner – Chief Economist at Piedmont Crescent Capital. Mark shares insights on the strengthening manufacturing sector, GDP growth forecasts for the second half of the year, inventory replenishment cycles, and the unique challenges facing the current housing market. Christopher Versace – Chief Investment Officer & Thematic Strategist at Tematic Research. Christopher analyzes logistics stocks, hyperscaler CapEx spends, chip demand, and why structural shifts in heavy truck orders keep him bullish heading into the Q2 earnings cycle. Erik Kiser – CEO & Founder of Orderful Technologies. Fresh off a $35 million funding round with Koch Disruptive Technologies, Eric highlights how Orderful is utilizing AI models to completely disrupt and automate traditional EDI onboarding experiences. Follow the FreightWaves Today Podcast Other FreightWaves Shows Learn more about your ad choices. Visit megaphone.fm/adchoices

It's Friday, and while the domestic spot market is hitting a bit of a post-holiday summer lull, the freight industry at large is facing massive structural, legislative, and tech shifts. In this episode of FreightWaves Today, hosts Craig Fuller and Julie Van de Kamp sit down with top industry analysts and experts to break down the biggest headlines moving the market this week. We dive deep into a jaw-dropping $104 million nuclear jury verdict against Mesilla Valley Transportation, unpack the EPA's newly finalized 470-page NOx emissions regulations, and discuss reports that tech giant Trimble is planning to sell off its transportation division. Plus, maintenance and legal expert Matt Loeffler stops by for Freight Expectations to sound the alarm on a sophisticated new type of trailer leasing fraud emerging on social media. Featured guests: Lee Klaskow (Senior Transportation Analyst, Bloomberg Intelligence): Joins us to break down Wall Street's red-hot interest in truckload and LTL stocks, why the current capacity correction feels more structural than cyclical, and what to expect from the upcoming Q2 earnings season. Bart De Muynck (Founder, Bart De Muynck LLC): Weighs in on reports that Trimble is looking to divest its transportation unit. We discuss why European software like Transporion often struggles to gain a foothold in North America, and how modern architecture and real-time AI solutions are shifting the enterprise software landscape. Matt Leffler (The Armchair Attorney): Returns for Freight Expectations to dissect the legal mechanics of the massive $104M verdict, how cross-border carriers manage equipment safety, the heavy technical/cost burden of the EPA's new diesel aftertreatment regulations, and a dangerous new asset scam hitting independent truckers. ⁠Follow the FreightWaves Today Podcast⁠ ⁠Other FreightWaves Shows⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

A $104 million nuclear verdict against Mesilla Valley Transportation has the trucking industry asking one question: Could this happen to anyone?Matt and Craig break down the landmark case, explain why jury awards continue to skyrocket, and discuss what it means for carriers, brokers, insurers, and shippers moving forward. The conversation also dives into the EPA's latest emissions rule changes, why modern diesel trucks have become so expensive to maintain, and a brand-new trailer rental scam targeting truckers through Facebook and WhatsApp. Plus, Matt and Craig discuss cargo theft, organized crime, and why legislation like CORCA continues to stall in Washington despite broad bipartisan support. ⁠Follow the Freight Expectations Podcast⁠ ⁠Other FreightWaves Shows⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

This week's podcast short looks at a trio of stories covering the US government's latest unified agenda, with the EPA hinting at a surge of upcoming TSCA rules, the FDA pushing back the release date for its GRAS proposal, and the Consumer Product Safety Commission signalling that its regulatory review of organohalogen flame retardants is continuing.  In Europe, we discuss a story covering the UK government's plan to hold off on immediate restrictions on non-essential PFAS uses while it monitors developments in the EU. And a business desk article looks at Hyundai Motor Company's goal to phase out PFAS by 2029 and the challenges ahead for a future of expanding PFAS restrictions. Other highlighted stories include: a guest article on TSCA enforcement for chemical imports; chemical management initiatives in Malaysia and Colombia; a new challenge to New Mexico's PFAS labelling law; and  emerging research on chemical exposures from yoga mats. Tune in to hear more about our top headlines, then visit Chemical Watch News & Insight for all the latest global developments in chemicals management. Have a podcast idea or a comment to share? Let us know by emailing the editor at Terry.Hyland@Enhesa.com.

Support the pod on Patreon With so much emphasis on global politics and the World Cup in recent weeks, we're going to focus on the somewhat quieter but intensely important bureaucratic dismantling of expertise occurring in health and science. First, Derek looks into a recent 412-page OMB proposal that hands political appointees veto power over federal science grants, effectively killing peer review, blocking research on health disparities, and walling off American scientists from the rest of the world. Matthew counters with Canada's own corrosive behavior. Then we dig into the contradiction of MAHA: the pro-health movement running cover for the EPA quietly approving new forever chemical pesticides mere days after the Supreme Court gutted Americans' ability to sue Monsanto (by way of their parent company, Bayer). Again, there's a Canadian parallel: Bill C-30 hands cabinet the power to override Health Canada's own scientists and approve pesticides they've already ruled unsafe. Finally, Julian removes gravity from the situation by covering congressional UAP hearings where unverified whistleblower claims about alien bodies and secret programs get treated with peer-reviewed science seriousness. Only, as with everything else in Trump's America, the science is thin and the theater, thick. Show Notes The war against ‘woke' could end US science as we know it Carney's government is cutting hundreds of environment and science jobs Departmental plans fuel concern over federal job, program cuts Environment Canada disbands radar research team amid cuts to weather services Weather experts concerned about public safety as Environment Canada disbands radar research team Carney government passes law allowing authorization of banned pesticides Pesticide regulation changes raise questions in Northeastern Ontario Amendments buried in Bill C-30 weaken environmental protections Former Haiti prime minister Smarck Michel dies at 75 Omnibus I: the EU concludes CSDDD and CSRD reforms EU scales back corporate due diligence and reporting rules Australia: Labor-Greens deal to fast-track mining and military projects Task Force Tackles MK Ultra UFO Disclosure Movement Goes To Washington Learn more about your ad choices. Visit megaphone.fm/adchoices

Brian introduces Zen Honeycutt, founder of Moms Across America, which grew from efforts to label GMOs into a national nonprofit focused on reducing pesticide and toxin exposure through education and extensive testing that has found glyphosate in items including tap water, urine, breast milk, foods, and other products. Honeycutt describes launching a legislative arm (Moms Across America Movement/"Yes Ma'am") to promote health-focused policy, discusses MAHA-era progress and perceived corporate pushback, and urges contacting representatives via calls, email, visits, and X. She shares outcomes from switching to organic, including a story of a child's mental health improving, and recounts her son's strict organic veganism, subsequent nutrient/toxin findings (including thallium, mycotoxins, DDT), and suicide, informing proposed newborn genetic disclosure and EPA reforms. The conversation also covers EMFs, vaccine safety, microplastics, and major concerns about data centers' noise, energy, and water impacts.   Show Notes: 01:16 Meet Zen Honeycutt 02:46 Austin Events and Community 04:55 Moms Across America Origin 06:53 Testing Glyphosate Everywhere 08:26 MAHA Movement and RFK Jr 12:49 Policy Slowdown and Pushback 15:13 What You Can Do Now 19:46 Organic Food Changes Everything 22:06 Organic and Mental Health Story 26:42 Ben's Story and Vegan Risks 31:57 Genes Toxins and New Bills 38:22 Fat Fuels Survival 38:45 Cholesterol and Brain Health 39:16 Food Lies and Plant Toxins 41:39 Why Carnivore Helps Some 42:24 Fermentation and Gut Issues 45:08 Vegan as Reset Not Nutrition 51:32 Africa Anecdotes on Meat 53:39 Glyphosate and Vegan Exposure 55:32 Moms Across America Issues 56:41 Data Centers Health Threat 01:04:00 Microplastics and Fertility 01:05:36 Self Regulation and Identity 01:09:05 Unstoppable Take Action   GET OYSTER PILLS http://NosetoTail.org FREE SAPIEN FOOD GUIDE http://sapien.org Follow along: http://twitter.com/FoodLiesOrg http://instagram.com/food.lies http://facebook.com/FoodLiesOrg

In this episode of the Practical Horseman Podcast, sponsored by Farnam and Tribute, we talk with top up-and-coming hunter rider Crystal Young about her special partnerships with MTM Nonchalant and his owner Adelle Alletto, why she fell in love with hunters, the strong horsewomen who shaped her career and her overall training philosophy.About Crystal YoungIn recent years, Crystal Young has made a name for herself as a top up-and-coming hunter contender through her remarkable success with MTM Nonchalant, owned by Adelle Alletto. The pair celebrated a win in the 2023 Green Hunter 3' Stake at WEF 7 and a second-place finish in the 2023 $15,000 USHJA National Hunter Derby Open at the Equus Events Tryon Spring 3. In 2024, Crystal and the 11-year-old KWPN gelding took top honors at the Performance Hunter 3'3” Championship at the Ocala Winter Finals, the Green Hunter 3'3”/3'6” Championship at the Mid Spring Concours and the $10,000 UF Veterinary Hospital USHJA National 3' Open Hunter Derby at the World Equestrian Center.She and the gelding maintained their competitive edge during the 2025 competition season with a fourth-place finish in the $15,000 USHJA International Hunter Derby at the Equus Events Tryon Spring 3, a first-place finish in the Green Hunter 3'6” FP at WEC Ocala Summer 6 and a second-place finish in the Green Hunter 3'6” Championship at WEC Ocala Summer 9. But the defining moment of their 2025 season came at the Pennsylvania National Horse Show where the duo claimed reserve champion in the Green Hunter 3'6” division.While growing up in Nutley, New Jersey, it was Crystal's mom who first ignited her passion for horses. Diane Young primarily rode Western and would bring Crystal along to the barn, where she taught her daughter basic horsemanship skills and the two enjoyed trail riding together. By the time the budding equestrian was 12, her mom introduced her to the historic Suburban Essex Barn near West Orange, New Jersey, where Crystal first discovered English disciplines and her passion for hunters.After gaining experience as a working student at Suburban Essex throughout her teenage years, she went on to work for notable horsewomen like Beth Batel, Ann Schear, Nikki Fry, Anne Kursinski and Carol Thompson where she gained invaluable insights and learned what it takes to produce complete horseman and women. From fox hunting and hunter paces to hunters, jumpers, dressage and cross-country, these strong female mentors taught her that true horsemanship stems from foundation and versatility.In recent years, Crystal has received guidance in the hunter ring from Mike McCormick, Don Stewart and Brian Feigus—all of whom also provided her with immeasurable wisdom and helped elevate her own training program.She and MTM Nonchalant kicked off the 2026 season off with a bang, winning the Green Hunter 3'9” – FP at the Winter Spectacular and the Performance Hunter 3'6”-Handy at the Winter Spectacular II. The pair also had a third-place finish in the Green Hunter 3'9” at the Winter Spectacular and a ninth-place finish at the $75,000 USHJA WCHR East Coast Hunter Spectacular.About this Episode's Sponsors: Tribute and FarnamTributeAt Tribute Equine Nutrition, caring for horses has always come first. As a family-owned company safely making feed right here in the USA, they're celebrating America's 250th anniversary by supporting programs that make a difference through horses. Every bag of Tribute sold helps support PATH International's Equine Services for Heroes programs helping veterans through equine-assisted services. They've also introduced limited-edition Patriotic Horse Treats for summer. Ready to try Tribute? Start with a free personalized feeding plan and your first bag free at TributeEquineNutrition.com. FarnamThis episode is brought to you by Farnam, celebrating 80 years of trusted equine care, and Endure Gold Killer Fly & Mosquito Control, a new fly spray for horses. When your horse needs to stay focused, it helps to take flies out of the equation. Endure Gold uses brand-new, EPA-approved ingredients never before seen in equine care to annihilate flies, ticks, and mosquitoes. This advanced formula delivers fast knockdown and up to 14 days of fly protection you can trust. Discover fly protection with Endure Gold from Farnam.

Immune Regulation, Omega-3 Nuance, and Himalayan Tartary Buckwheat with Dr. Austin Perlmutter, chief science officer of Big Bold Health. He details immune regulation as a nuanced, multidimensional system shaped by diet and lifestyle rather than simple “boosting.” Perlmutter explains Big Bold Health's focus on immunometabolism, educating about immune complexity, and conducting studies on nutraceuticals, including use of CGMs and clinical trials. He discusses why eating fish often outperforms refined fish-oil supplements, noting conventional processing (heat, bleaching, deodorizing, esterification) and loss of other lipids and nutrients. Perlmutter highlights specialized pro-resolving mediators (resolvins, protectins, maresins) and vitamins A and D as potentially better preserved in minimally processed oils, and reviews typical omega-3 intake and target ranges. The conversation also covers immunosenescence/inflammaging and Big Bold Health research on sprouted Himalayan Tartary Buckwheat, its high polyphenols (rutin, quercetin), microbiome effects, and studies including epigenetic aging clocks and brain outcomes.

In this episode of the Practical Horseman Podcast, sponsored by Farnam and Tribute, we talk with top up-and-coming hunter rider Crystal Young about her special partnerships with MTM Nonchalant and his owner Adelle Alletto, why she fell in love with hunters, the strong horsewomen who shaped her career and her overall training philosophy.About Crystal YoungIn recent years, Crystal Young has made a name for herself as a top up-and-coming hunter contender through her remarkable success with MTM Nonchalant, owned by Adelle Alletto. The pair celebrated a win in the 2023 Green Hunter 3' Stake at WEF 7 and a second-place finish in the 2023 $15,000 USHJA National Hunter Derby Open at the Equus Events Tryon Spring 3. In 2024, Crystal and the 11-year-old KWPN gelding took top honors at the Performance Hunter 3'3” Championship at the Ocala Winter Finals, the Green Hunter 3'3”/3'6” Championship at the Mid Spring Concours and the $10,000 UF Veterinary Hospital USHJA National 3' Open Hunter Derby at the World Equestrian Center.She and the gelding maintained their competitive edge during the 2025 competition season with a fourth-place finish in the $15,000 USHJA International Hunter Derby at the Equus Events Tryon Spring 3, a first-place finish in the Green Hunter 3'6” FP at WEC Ocala Summer 6 and a second-place finish in the Green Hunter 3'6” Championship at WEC Ocala Summer 9. But the defining moment of their 2025 season came at the Pennsylvania National Horse Show where the duo claimed reserve champion in the Green Hunter 3'6” division.While growing up in Nutley, New Jersey, it was Crystal's mom who first ignited her passion for horses. Diane Young primarily rode Western and would bring Crystal along to the barn, where she taught her daughter basic horsemanship skills and the two enjoyed trail riding together. By the time the budding equestrian was 12, her mom introduced her to the historic Suburban Essex Barn near West Orange, New Jersey, where Crystal first discovered English disciplines and her passion for hunters.After gaining experience as a working student at Suburban Essex throughout her teenage years, she went on to work for notable horsewomen like Beth Batel, Ann Schear, Nikki Fry, Anne Kursinski and Carol Thompson where she gained invaluable insights and learned what it takes to produce complete horseman and women. From fox hunting and hunter paces to hunters, jumpers, dressage and cross-country, these strong female mentors taught her that true horsemanship stems from foundation and versatility.In recent years, Crystal has received guidance in the hunter ring from Mike McCormick, Don Stewart and Brian Feigus—all of whom also provided her with immeasurable wisdom and helped elevate her own training program.She and MTM Nonchalant kicked off the 2026 season off with a bang, winning the Green Hunter 3'9” – FP at the Winter Spectacular and the Performance Hunter 3'6”-Handy at the Winter Spectacular II. The pair also had a third-place finish in the Green Hunter 3'9” at the Winter Spectacular and a ninth-place finish at the $75,000 USHJA WCHR East Coast Hunter Spectacular.About this Episode's Sponsors: Tribute and FarnamTributeAt Tribute Equine Nutrition, caring for horses has always come first. As a family-owned company safely making feed right here in the USA, they're celebrating America's 250th anniversary by supporting programs that make a difference through horses. Every bag of Tribute sold helps support PATH International's Equine Services for Heroes programs helping veterans through equine-assisted services. They've also introduced limited-edition Patriotic Horse Treats for summer. Ready to try Tribute? Start with a free personalized feeding plan and your first bag free at TributeEquineNutrition.com. FarnamThis episode is brought to you by Farnam, celebrating 80 years of trusted equine care, and Endure Gold Killer Fly & Mosquito Control, a new fly spray for horses. When your horse needs to stay focused, it helps to take flies out of the equation. Endure Gold uses brand-new, EPA-approved ingredients never before seen in equine care to annihilate flies, ticks, and mosquitoes. This advanced formula delivers fast knockdown and up to 14 days of fly protection you can trust. Discover fly protection with Endure Gold from Farnam.

Kevin covers and discusses the following stories: the Federal Motor Carrier Safety Administration temporarily hits the brakes on Motus (the new registration system); yet another fatal accident caused by a truck driver, who did not have a valid CDL and was not English language proficient; new guidance from the EPA on "right to repair"; President Trump pardons several mechanics or car tuners; oil reacts to new attacks on tankers in the Strait of Hormuz; how "open" was the Strait of Hormuz prior to the start of Epic Fury on February 28th?; Kevin has the details, digs into the data, puts the information into historical perspective, offers his insights and several opinions. See omnystudio.com/listener for privacy information.

EE. UU. libera recursos para sanear aguas en la frontera con México Ebrard prevé que acuerdo con Europa entre en vigor este añoAseguran ketamina oculta en equipaje en CancúnMás información en nuestro podcast#grc

This edition of the Closing Market Report covers the latest developments in agricultural commodity markets, crop progress, and regional weather forecasting. Host Todd Gleason opens with commodity price updates before talking with Naomi Blohm of Total Farm Marketing, who details a recent technical recovery bounce driven by hot, dry weather patterns and underscores the market significance of the upcoming July WASDE report. The program also reviews the nationwide USDA NASS Crop Progress Report, highlighting that corn, soybean, and winter wheat developments are running well ahead of their historic five-year averages. A feature from Harvest Public Media examines the ongoing regulatory and ecological challenges surrounding the volatile herbicide dicamba and its propensity for off-target drift. Finally, meteorologist Don Day warns of an intense, unseasonable "heat dome" set to bring triple-digit temperatures and dry conditions to the northern Corn Belt, establishing a unique weather pattern wrapped by an outer ring of moisture.02:19 Ag Markets with Naomi Blohm, Total Farm Marketing09:32 USDA NASS Crop Progress Report11:58 CropProtectionNetwork.com to Monitor Disease13:48 Dicamba, EPA, and U.S. Farmers18:06 Ag Weather with Don Day, Day Weather ★ Support this podcast ★

Join Drs. Georgoff, Burke, and Premkumar in this episode of EPA Playbook, where we tackle the evaluation and management of small bowel obstruction. Through a realistic series of scenarios, we walk step-by-step through how junior residents can approach this diagnosis using an evidence-based approach.We break down the key components of the small bowel obstruction EPA, from rapid initial assessment and focused physical exam to early resuscitation, recognizing when to go straight to the OR, and post-operative care. Along the way, we highlight critical teaching points you'll actually use on call. Whether you're a new intern or an early resident looking to build confidence, this episode is designed to help you act decisively and move one step closer to entrustment. ***FREE EPA COURSE: https://behindtheknife.org/premium/epa-playbookSimply create an account on behindtheknife.org or our app and you the course will automatically show up in your Library.For additional information on EPAs, visit the American Board of Surgery EPA webpage: https://www.absurgery.org/get-certified/epas/.BTK Resources:Nasogastric Tube (NGT) Management Videohttps://behindtheknife.org/video/behind-the-knife-nasogastric-tube-ngt-managementNasogastric Tube (NGT) Placement Videohttps://behindtheknife.org/video/behind-the-knife-nasogastric-tube-ngt-placementOstomy Marking Videohttps://behindtheknife.org/video/behind-the-knife-ostomy-markingHow to Change an Ostomy Appliance Videohttps://behindtheknife.org/video/behind-the-knife-how-to-change-an-ostomy-applianceHow to Manage a Challenging Ostomy Videohttps://behindtheknife.org/video/behind-the-knife-how-to-manage-a-challenging-ostomyCited Studies: National prospective cohort study of the burden of acute small bowel obstruction https://doi.org/10.1002/bjs5.50136 Management and short-term outcomes of patients with small bowel obstruction in Denmark: a multicentre prospective cohort study https://doi.org/10.1007/s00068-022-02171-y Multi-institutional, prospective, observational study comparing the Gastrografin challenge versus standard treatment in adhesive small bowel obstruction https://doi.org/10.1097/ta.0000000000001499 Evaluation and management of small-bowel obstruction: an Eastern Association for the Surgery of Trauma practice management guideline https://doi.org/10.1097/ta.0b013e31827019de

Ryan breaks down PFF's new 2025 quarterback annual, revealing Jordan Love's elite rankings in overall grade, EPA, and rhythm throws. Key discussion points: - Jordan Love ranked 4th overall and 3rd in passing grade by PFF - Career EPA per dropback ranks 9th since 2006, nearly double the NFL average - Number one in the NFL for throws under 2.5 seconds; strong in blitz and single-high coverage - Red zone performance at 17th is the main area needing improvement Subscribe and leave a review to support the show. More Packers analysis coming soon. This episode is brought to you by PrizePicks! Use code PACKDADDY to get started with America's #1 fantasy sports app. https://prizepicks.onelink.me/LME0/PACKDADDY To advertise on this podcast please email: ad-sales@libsyn.com Or go to: https://advertising.libsyn.com/packernetpodcast Check out everything I'm building across the Packers and NFL world: NFL Draft Grades: https://nfldraftgrades.com/ Hashmarks: https://hashmarks.io/

Ryan breaks down PFF's new 2025 quarterback annual, revealing Jordan Love's elite rankings in overall grade, EPA, and rhythm throws. Key discussion points: - Jordan Love ranked 4th overall and 3rd in passing grade by PFF - Career EPA per dropback ranks 9th since 2006, nearly double the NFL average - Number one in the NFL for throws under 2.5 seconds; strong in blitz and single-high coverage - Red zone performance at 17th is the main area needing improvement Subscribe and leave a review to support the show. More Packers analysis coming soon. This episode is brought to you by PrizePicks! Use code PACKDADDY to get started with America's #1 fantasy sports app. https://prizepicks.onelink.me/LME0/PACKDADDY To advertise on this podcast please email: ad-sales@libsyn.com Or go to: https://advertising.libsyn.com/packernetpodcast Check out everything I'm building across the Packers and NFL world: NFL Draft Grades: https://nfldraftgrades.com/ Hashmarks: https://hashmarks.io/

In this episode of EPA Playbook, Drs. Jason Bingham, Emma Burke, and Agnes Premkumar discuss the evaluation and management of inguinal hernias through a case-based approach that reinforces key EPA concepts for surgical trainees. We specifically highlight the importance of a thorough history and physical exam, emphasize risk stratification, and indications for surgery versus watchful waiting. We briefly review a few postoperative considerations as well. ***FREE EPA COURSE: https://behindtheknife.org/premium/epa-playbookSimply create an account on behindtheknife.org or our app and you the course will automatically show up in your Library.For additional information on EPAs, visit the American Board of Surgery EPA webpage: https://www.absurgery.org/get-certified/epas/. Cited studies:Miserez M, et al. "Update with level 1 studies of the European Hernia Society guidelines on the treatment of inguinal hernia in adult patients." Hernia. 2014;18(2):151-163. PubMed ID: 24504225Carrick MA, et al. "Smoking and anaesthesia." BJA Educ. 2019;19(1):1-6. PubMed ID: 33456860Amid PK, et al. "Local anesthesia for inguinal hernia repair step-by-step procedure." Ann Surg. 1994;220(6):735-737. PubMed ID: 7979603Huy TC, et al. "Reoperation for chronic postoperative inguinal pain." JAMA Surg. 2025;160(9):984-991. PubMed ID: 39855588

Last week the Supreme Court ruled seven to two in favor of Bayer-Monsanto, and it changes the rules for anyone who gardens, farms, or eats food grown in this country. Notice they did not go to the highest court in the land to prove Roundup is safe. They went to argue that even if it causes cancer, you are no longer allowed to sue them in your own state for failing to warn you. In this episode I walk you all the way through it. Not the headline, the whole thing. What the ruling actually says and why the legal logic is so slippery. The real story of who Bayer even is and why a drug company bought a pesticide company. The billions already paid out in cancer settlements, and the trap door that just closed. And then, because despair is just laziness in a nicer outfit, exactly what you and I do about it, starting today, with our hands and our habits and our dollars. You have more power here than you have been told. Let's use it. What We Cover Who John Durnell is, and the twenty-plus years of Roundup use behind this case What the ruling actually says, in plain English: FIFRA, the EPA, and the "Uniformity" clause that decided everything Why the legal reasoning is so slippery, and what the bipartisan dissent from Justices Jackson and Gorsuch warned about The honest version of the science fight: what the World Health Organization said versus what the EPA says Three branches of government, one year, moving in the same direction, and the one piece the people actually stopped Why a pharmaceutical company bought a pesticide company, and the structure underneath "create the problem, sell the cure" The settlement numbers, and the question they cannot answer: why pay billions for a product you swear is safe? What this precedent means for every other industry going forward What practical steps you can take right away The Receipts A few of the numbers and facts from this episode, so you have them: The case is Monsanto Co. v. Durnell, decided seven to two on June 25, 2026. Justice Kavanaugh wrote the majority. Justice Ketanji Brown Jackson dissented, joined by Justice Neil Gorsuch. The ruling reversed a Missouri jury's verdict that had awarded John Durnell one point two five million dollars on a failure-to-warn claim. In 2015, the World Health Organization's cancer research arm classified glyphosate as probably carcinogenic to humans. The EPA has concluded it is not likely to cause cancer when used as directed, and never required a warning label. In 2020, Bayer agreed to pay nearly eleven billion dollars to settle around a hundred thousand cancer claims. The company has spent well over ten billion total, and proposed another settlement of seven and a quarter billion in February 2026. In February, the President signed an executive order invoking the Defense Production Act to boost glyphosate production, though experts question whether it even reaches these lawsuits. A push to shield pesticide companies from these lawsuits in the Farm Bill was stripped out in late April by a bipartisan vote of two hundred eighty to one hundred forty two. The people stopped that one. What You Can Do Lower your toxic load where you can. Start with personal care products, the things you put on your skin every day. Skip drinking from, storing food in, and especially microwaving plastic when you have a glass or steel option. Know where your food comes from. Rinse and soak your produce before you eat it. This is the produce wash/soak product I use.  Grow some of your own, even a little. One tomato plant on a balcony is more food sovereignty than most Americans have. Start absurdly small. Just start. Support local farms, and then ask the question. Find a farm you trust, and kindly ask them about their spraying practices. Give your money on purpose to the people who opt out. Support your body's own systems. Sweat regularly, move consistently, and give your gut real breaks between meals. Move, sweat, rest, repeat. None of this is medical advice or a substitute for your doctor, it is everyday support for a body built to handle a tough world. Resources and Links The produce wash and soak method I use:  https://amzn.to/4xWl2DI Want to read the ruling yourself? Look up Monsanto Co. v. Durnell, decided June 25, 2026. Find a local farm or market near you and start the conversation about how your food is grown.  

Join Drs. Steele, Burke, & Premkumar in this episode of EPA Playbook, where we tackle a core general surgery EPA: the evaluation and management of benign and malignant colon disease. From common presentations like diverticulitis and lower GI bleeding to the diagnosis and workup of colon cancer, this episode provides a structured framework you can use on the wards, in clinic, and on call. Using case-based discussions, we walk through how to distinguishing benign from malignant processes, selecting appropriate imaging and endoscopy, and recognizing when a patient needs urgent intervention versus outpatient workup. We also cover key principles of colon cancer management, including staging, surgical planning, and multidisciplinary care, alongside high-yield management of benign conditions.***FREE EPA COURSE: https://behindtheknife.org/premium/epa-playbookSimply create an account on behindtheknife.org or our app and you the course will automatically show up in your Library.For additional information on EPAs, visit the American Board of Surgery EPA webpage: https://www.absurgery.org/get-certified/epas/. Cited Studies:Gustafsson, U.O., Scott, M.J., Hubner, M. et al. Guidelines for Perioperative Care in Elective Colorectal Surgery: Enhanced Recovery After Surgery (ERAS®) Society Recommendations: 2018. World J Surg 43, 659–695 (2019). https://doi.org/10.1007/s00268-018-4844-yBTK Resources:Ostomy Marking Videohttps://behindtheknife.org/video/behind-the-knife-ostomy-markingHow to Change an Ostomy Appliance Videohttps://behindtheknife.org/video/behind-the-knife-how-to-change-an-ostomy-applianceHow to Manage a Challenging Ostomy Videohttps://behindtheknife.org/video/behind-the-knife-how-to-manage-a-challenging-ostomy

Episode 2848 - In this wide-ranging Fourth of July eve episode, Ted and Austin Broer connect the EPA's forever chemical pesticide approvals, Disney's potential Lionsgate acquisition and its implications for Mel Gibson's films, vaccine liability protection extended to 2029, AI data center digital twin behavioral manipulation, geoengineering and ocean heat wave consequences, a Las Vegas false flag shooting, and the 250th anniversary sale into a broadcast that challenges listeners to protect their food supply, their constitutional rights, and their community independence on the nation's 250th birthday.

Two years into the EPA era — are we actually training surgeons differently, or just checking new boxes? In this episode, Behind the Knife co-director and Duke Trauma Surgeon Dr. Patrick Georgoff and Behind the Knife surgical education fellows Dr. Agnes Premkumar and Dr. Emma Burke sit down with Dr. Ruchi Thanawala, thoracic surgeon at OHSU, informatician, and founder of Firefly Labs, to get an honest look at the state of competency-based surgical education. We dig into why surgery is uniquely hard to assess, what the data are actually showing (spoiler: significant skewing, and we're not ready to make promotion decisions off it yet), and why collecting assessments is only 25% of the work. If you've ever wondered whether EPAs are moving the needle or just adding noise, this one's for you***FREE EPA COURSE: https://behindtheknife.org/premium/epa-playbookSimply create an account on behindtheknife.org or our app and you the course will automatically show up in your Library.Please visit https://behindtheknife.org to access other high-yield surgical education podcasts, videos and more.  If you liked this episode, check out our recent episodes here: https://behindtheknife.org/listenBehind the Knife Premium: https://behindtheknife.org/premiumOral Board Review: https://behindtheknife.org/oral-boardOral Board Simulator: https://behindtheknife.org/oral-board/simulatorGeneral Surgery Oral Board Review Course: https://behindtheknife.org/premium/general-surgery-oral-board-reviewTrauma Surgery Video Atlas: https://behindtheknife.org/premium/trauma-surgery-video-atlasDominate Surgery: A High-Yield Guide to Your Surgery Clerkship: https://behindtheknife.org/premium/dominate-surgery-a-high-yield-guide-to-your-surgery-clerkshipDominate Surgery for APPs: A High-Yield Guide to Your Surgery Rotation: https://behindtheknife.org/premium/dominate-surgery-for-apps-a-high-yield-guide-to-your-surgery-rotationVascular Surgery Oral Board Review Course: https://behindtheknife.org/premium/vascular-surgery-oral-board-reviewColorectal Surgery Oral Board Review Course: https://behindtheknife.org/premium/colorectal-surgery-oral-board-reviewSurgical Oncology Oral Board Review Course: https://behindtheknife.org/premium/surgical-oncology-oral-board-reviewCardiothoracic Oral Board Review Course: https://behindtheknife.org/premium/cardiothoracic-surgery-oral-board-reviewDownload our App:Apple App Store: https://apps.apple.com/us/app/behind-the-knife/id1672420049Android/Google Play: https://play.google.com/store/apps/details?id=com.btk.app&hl=en_US

────────────────────────────────────────[00:03:54]Plane Hit Beijing's Tallest Building — It Didn't Collapse, and China Ordered All Footage DeletedPolice told Reuters to leave; bystanders ordered to delete footage; cleaned up within hours; Knight: steel skyscrapers don't collapse in their own footprint.────────────────────────────────────────[00:12:53]Flock Camera Network Builds a Biometric Profile of Your Car — Nationwide Pushback GrowingWSJ reports backlash against license plate surveillance; Knight: tie this to the data center fight — both funded by the same surveillance agenda.────────────────────────────────────────[00:38:17]Federal Blackmail Model: Build the Code, Fund the Governors, Control the StatesTrump gave Republican governors more than entire state budgets during the pandemic; same model now forces green building codes adding $14-20K per home.────────────────────────────────────────[00:39:43]Supreme Court Shields Monsanto From Roundup Cancer Warnings — Trump DOJ Argued Alongside Bayer7-2 ruling says EPA approval preempts state warnings; 65,000 lawsuits pending; Bayer spent $9.1M lobbying in 2025 and placed ex-lobbyists inside EPA and USDA.────────────────────────────────────────[00:49:56]Massey: Government Agencies Protect Corporations From Citizens, Not the ReverseMassey attended Roundup oral arguments; Trump DOJ stood alongside Monsanto; EPA was captured from day one and isn't a constitutional agency.────────────────────────────────────────[01:08:16]Trump Told Evangelical Crowd He'd Be the Greatest Communist — Knight: He Already Checked Every BoxAt Faith and Freedom Coalition, Trump said communists close churches and kill people; he did both in 2020, and the same crowd cheered him both times.────────────────────────────────────────[01:17:46]Trump's Religious Liberty Commission Kicked Off a Pastor for Criticizing Zionism — Knight: It's a Liberty OmissionKerry Baldwin was removed for distinguishing government from religious criticism; you can't freely worship Christ when Israel takes precedence.────────────────────────────────────────[01:38:43]Trump Administration Runs QAnon Memes to Promote Executive Orders — QAnon Is Now FuriousDOD tweeted "Where We Go One We Go Quantum"; QAnon figures say Trump blocked Epstein files, broke every promise, and is cynically co-opting their movement.────────────────────────────────────────[01:50:46]SIDS Falling as Vaccine Skepticism Rises — Washington Post Mocks the Unvaccinated Dating AppUnjected has 65,000 active users in cities with the strictest lockdowns; Knight: people calling them anti-science don't understand science, politics, or human nature.────────────────────────────────────────[01:56:56]Trump Is the Father of the Vaccine — MAGA Defenders Are Inoculating Him From the Accountability He DemandsTrump boasts about Warp Speed; Knight: if you know how bad the vaccine is and still protect him from criticism, you're doing what you accuse the left of doing ──────────────────────────────────────── Money should have intrinsic value AND transactional privacy: Go to https://davidknight.gold/ for great deals on physical gold/silver For 10% off Gerald Celente's prescient Trends Journal, go to https://trendsjournal.com/ and enter the code “KNIGHT” For high quality made in America products go to HomeSteadProducts.shop and use promo code “Knight” for 10% off your purchases Find out more about the show and where you can watch it at TheDavidKnightShow.com If you would like to support the show and our family please consider subscribing monthly here: SubscribeStar https://www.subscribestar.com/the-david-knight-show Or you can send a donation throughMail: David Knight POB 994 Kodak, TN 37764Zelle: @DavidKnightShow@protonmail.comCash App at: $davidknightshowBTC to: bc1qkuec29hkuye4xse9unh7nptvu3y9qmv24vanh7Become a supporter of this podcast: https://www.spreaker.com/podcast/the-david-knight-show--2653468/support.