Podcasts about Granola

On a December morning in Greeley, Colorado, a young woman was found dying from a single gunshot wound. The only witness gave detectives three different explanations for what had happened, but only one could be true. What followed was an interrogation where every new story brought investigators one step closer to the truth.How to support:For extra perks including exclusive content, early release, and ad-free episodes -Go to - PatreonHow to connect:WebsiteInstagramFacebookTwitterTheme and Closing Track:Original compositions created for The Minds of MadnessPlease check out our sponsors and help support the podcast:Shopify - Sign up for a one-dollar-per-month trial period at shopify.com/madnessQuince - Upgrade your wardrobe with pieces made to last with Quince. Go to Quince.com/madness for free shipping on your order and 365-day returns.Raycon - The Essential Open Earbuds are perfect for refreshing your routine this spring. Go to buyraycon.com/mindsofmadnessOPEN to get 20% off!HERS - Feel like your best self again, Visit forhers.com/MADNESS to get a personalized, affordable plan that gets you.LEAN - They're having a Huge Memorial Day Sale and Lean is 25% off!!  Visit takelean.com and enter THANK YOU 25 for 25% OFF.Granola - If meetings are eating up your day, Granola is a no-brainer. You can try it totally free for three months - just head to granola.ai/MADNESSRula - Rula patients typically pay $15 per session when using insurance. Connect with quality therapists and mental health experts who specialize in you at rula.com/madnessGhostBed - Take advantage of Spring Sale pricing, go to GhostBed.com/madness, code MADNESS for an extra 10% off sitewide. Some exclusions apply; see site for details.Research & Writing:Sherri SmithResearch:J.R. RainboltEditing:Aiden WolfSources:District Attorney Weld CountyDenver 7

Most people think success comes from having an original idea. Mark Pincus thinks that's one of the most expensive mistakes you can make. After building one of the most successful gaming companies in history, he believes the best products rarely begin as completely new ideas. Instead, they start with a deep understanding of what already works, a relentless focus on making it better, and just enough novelty to make people care. In part two of our conversation, Mark shares his "Proven, Better, New" framework for building products, explains why AI is creating the greatest opportunity for builders since the birth of the internet, and reveals the surprisingly simple habits that have shaped his career, leadership philosophy, and life. Along the way, he discusses ambition, parenting, creativity, and why a more playful approach to your career may be the key to doing your best work. Chapters: (00:00) The Cheat Code for Building Winners  (04:29) The Secret Behind Every Hit Product (12:53) The Best Time to Build Is Now (18:14) Why Work Should Feel Like Play  (28:05) The Framework For A Better Year  (33:04) Parenting Like a Founder  (38:16) The Screen Time Debate Is Broken 

On the eve of a multimillion-dollar real estate deal in Midway, Utah, Eric Richins died after sharing a quiet celebration with his wife. What first appeared to be a tragic and unexplained death soon unraveled into a story of hidden debt, secret relationships, and a children's book that took on a chilling new meaning.How to support:For extra perks including exclusive content, early release, and ad-free episodes -Go to - PatreonHow to connect:WebsiteInstagramFacebookTwitterTheme and Closing Track:Original compositions created for The Minds of MadnessPlease check out our sponsors and help support the podcast:Shopify - Sign up for a one-dollar-per-month trial period at shopify.com/madnessQuince - Upgrade your wardrobe with pieces made to last with Quince. Go to Quince.com/madness for free shipping on your order and 365-day returns.Raycon - The Essential Open Earbuds are perfect for refreshing your routine this spring. Go to buyraycon.com/mindsofmadnessOPEN to get 20% off!HERS - Feel like your best self again, Visit forhers.com/MADNESS to get a personalized, affordable plan that gets you.LEAN - They're having a Huge Memorial Day Sale and Lean is 25% off!!  Visit takelean.com and enter THANK YOU 25 for 25% OFF.Granola - If meetings are eating up your day, Granola is a no-brainer. You can try it totally free for three months - just head to granola.ai/MADNESSRula - Rula patients typically pay $15 per session when using insurance. Connect with quality therapists and mental health experts who specialize in you at rula.com/madnessGhostBed - Take advantage of Spring Sale pricing, go to GhostBed.com/madness, code MADNESS for an extra 10% off sitewide. Some exclusions apply; see site for details.Research & Writing:Ryan DeiningerEditing:Aiden WolfSources:Kouri Richins's son: ‘I want her to go to prison forever'Kouri Richins juror reveals panel was ‘hoping that she was innocent'Prosecutors paint Kouri Richins as ‘black widow' in closing argumentKouri Richins' defense rests without calling a single witnessTexts show ghostwriter wrote children's book, not Kouri RichinsKouri Richins' paramour takes the stand: ‘She asked if I had ever killed anybody'‘This is a joke': Investigator pushes back at Kouri Richins' defense theory of victim sextingKouri Richins asked for the ‘Michael Jackson stuff,' housekeeper testifiesA Utah mom who wrote kids' book on grief after husband died killed him for moneyJustice Is A ProcessUtah Woman Found Guilty of Fatally Poisoning HusbandWhat to Know About the Kouri Richins Murder CaseChildren's author Kouri Richins learns her fate for poisoning husband Children's Author Accused of Poisoning Husband with Fentanyl – Her Side of the StoryCourt TV Recap What to know about the controversial ‘Walk The Dog' letter as testimony endsSons of convicted killer Kouri Richins worry she would hurt them if freed from prisonGood Things Utah Interview With Kouri About BookJuror shares why he felt Kouri Richins' was guilty of murder and other crimesExclusive Interview | Todd Gabler Inside the Courtroom & Investigation of the Kouri Richins Trial

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

————— COACHING —————Vous êtes leader tech ou product face à des défis majeurs ?

Podcasting is lousy with guests who peddle advice about starting businesses, building careers, and living full lives. Few of these gurus have actually accomplished anything. Fewer still have advice that comes anywhere close to revelatory. Mark Pincus is the rare exception. The founder of 10 companies, Mark is best known for Zynga, the gaming juggernaut behind FarmVille and Words With Friends. At its peak, Zynga was valued at more than $12 billion and accounted for 20% of Facebook's page views. It was so big, in fact, that Mark Zuckerberg once admitted to Mark Pincus, “Zynga is the only company that is capable of being an actual Facebook competitor.” Across his 30-year career, Mark — Pincus, not Zuck — developed a cheat code for building products people love and living a life anyone would admire, and that cheat code winds its way through his new book, Life at the Speed of Play. Today, he shares how he learned to trust his gut, why most founders build too much and test too little, and how failure taught him to move faster, pivot sooner, and search for real signals instead of hope.

“Running a startup is a knife fight whether things are going well or not,” says Chris Pedregal, cofounder and CEO of Granola. Granola recently raised a $125 million series C round at a $1.5 billion valuation on the strength of its AI meeting notetaker.That valuation hasn't made Pedregal complacent. Granola built its name as the first to make good AI meeting notes, but Notion, OpenAI, and Zoom have all since released their own versions. Pedregal isn't rattled—he never thought meeting notes were the real prize. The bigger fight, he says, is over “what interface we use for work, and what work looks like in an AI-native world.”That's why Granola is betting on owning the entire meeting workflow: preparing people for a call, helping them act on it afterward, and making that context available to whatever agent—Claude, Codex, or anything else—people bring to the table. Over the next few months, the company plans to push hard on its API and MCP to make that possible.Dan Shipper talked with Pedregal for AI & I about why Granola pre-generates millions of meeting briefs, most of which go unopened, what “bring your own agent” software could look like, and why Pedregal still thinks “easy come, easy go” about Granola's own success.If you found this episode interesting, please like, subscribe, comment, and share.More from Dan Shipper:Subscribe to Every: https://every.to/subscribeFollow him on X: https://twitter.com/danshipperTimestamps:00:00:59 Introduction00:01:57 Why starting a company feels like a knife fight00:04:33 Granola's counterintuitive view on competition00:10:44 Dan's "pirate and architect" framework for structuring early-stage product teams00:13:09 How Granola's "shaping" and "validation" phases work for building new features00:18:17 Why Dan lives almost entirely inside Codex00:24:40 The case for "Codex-native apps"00:35:37 Granola's "handrail" philosophy00:38:12 Why Granola is betting on owning meeting-adjacent context instead of competing as a general agent00:44:19 What a transcript alone can never captureEpisode resources:Chris Pedregal on X: https://twitter.com/cjpedregalGranola on X: https://twitter.com/meetgranolaGranola: https://granola.aiGranola hits $1.5B valuation (TechCrunch): https://techcrunch.com/2026/03/25/granola-raises-125m-hits-1-5b-valuation-as-it-expands-from-meeting-notetaker-to-enterprise-ai-app/Go to https://attio.com/every and get 15% off your first year.

In this episode, we sit down with Ann Miura-Ko, Co-Founding Partner of Floodgate and one of Silicon Valley's earliest investors in companies like Lyft, Twitch, Twitter, and Okta. After nearly two decades investing in founders at the earliest stages of company building, Ann shares how she identifies exceptional entrepreneurs long before the rest of the market. We discuss how Twitch almost never happened, the early rivalry between Uber and Lyft, why the best entrepreneurs are truth seekers, the future of AI-pilled organizations, what teaching has revealed about curiosity and character, and how Ann thinks about investing in the next generation of world-changing companies. If you're interested in startups, venture capital, AI, or understanding how the best investors think, this episode is for you.This episode is supported by Sydecar, HEX, Wispr Flow, Granola, Beehiiv, KalshiSydecar: https://sydecar.io/partners/trailblazersbeehiiv: www.beehiiv.com/splash?utm_campaign=trailblazers-2026-Partnership&utm_medium=podcast&utm_source=trailblazers&utm_term=podcast-5&stripe_campaign_code=TRAILBLAZERS30 (or use code “trailblazers30” for 30% OFF)*beehiiv has a major announcement coming July 16 - can't say more, but you won't want to miss it. RSVP here: https://www.beehiiv.com/summer-release-2026Granola: http://granola.ai/trailblazers*Granola is the official notetaker of Trailblazers. Check out the episode show notes here: https://notes.granola.ai/t/d1fb3aec-f1c5-4681-b763-af05df15ac3d-008umkv4Kalshi: http://Kalshi.com/r/trailblazersWispr Flow: https://ref.wisprflow.ai/trailblazersHEX: http://hex.ai/trailblazers

On Leroy Fowler's 55th birthday in Salisbury, Massachusetts, a routine 911 call marked the beginning of a baffling investigation. Hidden beneath years of jealousy, secrets, and a complicated love triangle was a truth that no one saw coming.How to support:For extra perks including exclusive content, early release, and ad-free episodes -Go to - PatreonHow to connect:WebsiteInstagramFacebookTwitterTheme and Closing Track:Original compositions created for The Minds of MadnessPlease check out our sponsors and help support the podcast:Shopify - Sign up for a one-dollar-per-month trial period at shopify.com/madnessQuince - Upgrade your wardrobe with pieces made to last with Quince. Go to Quince.com/madness for free shipping on your order and 365-day returns.Raycon - The Essential Open Earbuds are perfect for refreshing your routine this spring. Go to buyraycon.com/mindsofmadnessOPEN to get 20% off!HERS - Feel like your best self again, Visit forhers.com/MADNESS to get a personalized, affordable plan that gets you.LEAN - They're having a Huge Memorial Day Sale and Lean is 25% off!!  Visit takelean.com and enter THANK YOU 25 for 25% OFF.Granola - If meetings are eating up your day, Granola is a no-brainer. You can try it totally free for three months - just head to granola.ai/MADNESSRula - Rula patients typically pay $15 per session when using insurance. Connect with quality therapists and mental health experts who specialize in you at rula.com/madnessGhostBed - Take advantage of Spring Sale pricing, go to GhostBed.com/madness, code MADNESS for an extra 10% off sitewide. Some exclusions apply; see site for details.Research & Writing:Ryan DeiningerEditing:Aiden WolfSources:Court TV RecapJusticeisaprocess.comSalisbury woman found guilty of murdering boyfriend with antifreezeSalisbury woman gets life without parole for poisoning boyfriendA voodoo doll, a love triangle, and an alleged poisoningMassachusetts Retiree Accused of Offing Her Boyfriend by Poisoning His ShakesSalisbury Woman Arraigned for MurderSalisbury woman arraigned in ethylene glycol caseSalisbury woman held without bail in poisoning caseJudy Church Convicted for Murder in Poisoning of Leroy FowlerLeroy Fowler, Jr. ObituarySalisbury woman accused of fatally poisoning boyfriend with windshield de-icing fluidCourt TV Trial PlaylistJudy Church gets life without paroleRetired teacher accused of killing younger boyfriend with antifreezeOxygenSalisbury woman Judy Church accused of poisoning boyfriendRetired school teacher charged with murdering her boyfriend by poisoning his coffee Woman Pleads Not Guilty to Murdering Boyfriend, Who Was Poisoned With Antifreeze

A routine trip to a laundry room in Boulder, Colorado, should have taken only minutes. Instead, it became the beginning of a mystery built on lies, obsession, and one silent witness that never looked away.How to support:For extra perks including exclusive content, early release, and ad-free episodes -Go to - PatreonHow to connect:WebsiteInstagramFacebookTwitterTheme and Closing Track:Original compositions created for The Minds of MadnessPlease check out our sponsors and help support the podcast:Shopify - Sign up for a one-dollar-per-month trial period at shopify.com/madnessQuince - Upgrade your wardrobe with pieces made to last with Quince. Go to Quince.com/madness for free shipping on your order and 365-day returns.Raycon - The Essential Open Earbuds are perfect for refreshing your routine this spring. Go to buyraycon.com/mindsofmadnessOPEN to get 20% off!HERS - Feel like your best self again, Visit forhers.com/MADNESS to get a personalized, affordable plan that gets you.LEAN - They're having a Huge Memorial Day Sale and Lean is 25% off!!  Visit takelean.com and enter THANK YOU 25 for 25% OFF.Granola - If meetings are eating up your day, Granola is a no-brainer. You can try it totally free for three months - just head to granola.ai/MADNESSRula - Rula patients typically pay $15 per session when using insurance. Connect with quality therapists and mental health experts who specialize in you at rula.com/madnessGhostBed - Take advantage of Spring Sale pricing, go to GhostBed.com/madness, code MADNESS for an extra 10% off sitewide. Some exclusions apply; see site for details.Research & Writing:Sherri SmithEditing:Aiden WolfSources:Colorado DailyThe Wichita EagleKillers Caught on Camera S1 Episode 7People Magazine The Mountain Ear

In this episode, we sit down with Kate McAndrew, Co-Founder and General Partner of Baukunst, a $100 million pre-seed venture fund investing in the next generation of founders. After spending more than a decade investing in over 100 early-stage companies, Kate shares how she evaluates entrepreneurs long before the rest of the market catches on. We discuss what makes a startup worth investing in, how great investors think from first principles, the traits that separate exceptional founders, how to build company cultures and institutions that last, and the unconventional path that led her into venture capital. If you're interested in startups, investing, entrepreneurship, or understanding how the best venture capitalists think, this episode is for you.This episode is supported by Sydecar, HEX, Wispr Flow, Granola, Beehiiv, KalshiSydecar: https://sydecar.io/partners/trailblazersbeehiiv: https://www.beehiiv.com/splash?utm_campaign=trailblazers-2026-Partnership&utm_medium=podcast&utm_source=trailblazers&utm_term=podcast-4&stripe_campaign_code=TRAILBLAZERS30 (or use code “trailblazers30” for 30% OFF)*beehiiv has a major announcement coming July 16 - can't say more, but you won't want to miss it. RSVP here: https://www.beehiiv.com/summer-release-2026Granola: http://granola.ai/trailblazers*Granola is the official notetaker of Trailblazers. Check out the episode show notes here: https://notes.granola.ai/t/860f1c91-f717-41cd-a6c1-567458bfb806-00b881l8Kalshi: http://Kalshi.com/r/trailblazersWispr Flow: https://ref.wisprflow.ai/trailblazersHEX: http://hex.ai/trailblazers

Mike Mignano is a General Partner at Union Square Ventures, one of the most iconic venture firms in the world, whose investments include Coinbase, Stripe, Etsy, Twilio, Cloudflare. Before joining USV, Mike was a Partner at Lightspeed, where he backed breakout AI companies including Granola and Suno. Prior to investing, he co-founded Anchor, acquired by Spotify.  AGENDA: 00:00 Is Fear of Failure the Secret Weapon Behind Great Founders? 07:20 Why Leave Lightspeed for USV — and Is Thesis-Driven Venture Still Alive? 09:50 Is the Real AI Money Still in Infrastructure, or Are Apps Finally About to Explode? 13:00 Who Wins the AI Model War: OpenAI, Anthropic, Open Source, or the "Rebel Alliance"? 19:00 Are We About to Hand Our Entire Lives Over to AI Agents? 21:00 Can Anthropic Keep Growing Like This — or Will Token Spend Break the Model? 26:00 Can AI Routing Become a $50BN Company, or Is It Just a Commodity Pipe? 30:00 Will the AI Energy Crisis Create the Next Monster Venture Outcomes? 36:00 Can Startups Survive Microsoft, OpenAI, and the Brutal Power of Bundling? 45:00 Should VCs Ignore Price When Backing Generational Companies? 55:30 Is Traditional Media Dead — and Who Becomes the New Tech Kingmaker?    

After closing on his dream home in Woodbridge, New Jersey, William McGuire disappeared. Days later, a gruesome discovery in the Chesapeake Bay launched an investigation where almost every piece of evidence seemed to have vanished. Sometimes, what isn't there tells the darkest story of all.How to connect:WebsiteInstagramFacebookTwitterTheme and Closing Track:Original compositions created for The Minds of MadnessPlease check out our sponsors and help support the podcast:Shopify - Sign up for a one-dollar-per-month trial period at shopify.com/madnessQuince - Upgrade your wardrobe with pieces made to last with Quince. Go to Quince.com/madness for free shipping on your order and 365-day returns.Raycon - The Essential Open Earbuds are perfect for refreshing your routine this spring. Go to buyraycon.com/mindsofmadnessOPEN to get 20% off!HERS - Feel like your best self again, Visit forhers.com/MADNESS to get a personalized, affordable plan that gets you.LEAN - They're having a Huge Memorial Day Sale and Lean is 25% off!!  Visit takelean.com and enter THANK YOU 25 for 25% OFF.Granola - If meetings are eating up your day, Granola is a no-brainer. You can try it totally free for three months - just head to granola.ai/MADNESSRula - Rula patients typically pay $15 per session when using insurance. Connect with quality therapists and mental health experts who specialize in you at rula.com/madnessGhostBed - Take advantage of Spring Sale pricing, go to GhostBed.com/madness, code MADNESS for an extra 10% off sitewide. Some exclusions apply; see site for details.Research & Writing:Ryan DeiningerEditing:Aiden WolfSources:Court TV NJ v. Melanie McGuire PlaylistNew Jersey Attorney General's Office Charges Wife with MurderWoman Indicted in Dismemberment SlayingHuman remains found in suitcase near Virginia BeachMelanie McGuire Found Guilty of MurderMelanie McGuire AppealMelanie McGuire, The ‘Suitcase Killer'Who Is Melanie Slate McGuire, the 'Suitcase Killer'?The McGuire Diaries'Suitcase Killer' Melanie McGuire defends innocence from inside prisonINSIDE CHEATING WIFE'S GRUESOME 'SUITCASE MURDER'McGuire timelineLight Is Shed On Victim, But No Clues In Murder

A eulogistic weepfest? A “valediction forbidding mourning”? A conscious unthroupling? All of the above?Believe it or not, the time has come for Steve, Dana, and Julia to convene the Culture Gabfest panel for the very last time. Before saying goodbye, they look back at the very first piece of culture they ever gabbed about on their inaugural episode in February 2008: the film Juno. Does the indie darling written by Diablo Cody, directed by Jason Reitman, and starring Elliot Page as a sardonic, pregnant teenager hold up after 18 years? And, what does rewatching it in 2026 reveal about how culture has changed? They discuss.Next, the panel welcomes on the grand poobah of SFOPs June Thomas to counsel them through the inevitable change in one's cultural habits that comes after a big life transition. They get into why June stopped watching TV and the truly wild mix of things in her YouTube algorithm. Finally, we hear from you our dear, dear listeners. Steve, Dana, and Julia respond to some of your many beautiful emails and voice memos. In our bonus episode for Slate Plus subscribers, past Gabfest producers spill the beans on what it was like to make this show over the years.And, as always, thank you so much for being a listener.EndorsementsDana: The forthcoming book about translating ancient texts by beloved past Gabfest guest Emily Wilson, Crossing the Wine-Dark Sea: Journeys Through Ancient Literature.June: The podcast Drafting the Past hosted by Kate Carpenter about the craft of writing history.Julia: Manhattan Beach's indie bookstore Pages and On the Calculation of Volume (Book 1) by Solvej Balle (definitely the first 30 pages and maybe the whole five book series).Steve: In addition to the music of Red Garland, I Capture the Castle by Dodie Smith, and the poem “The Writer” by Richard Wilbur, Sparrowbush Bakery, a tiny, rustic bakery in Livingston, New York that is only open Fridays and Saturdays and serves the best bread made from fresh stoneground flour from locally grown grains you'll ever taste.Where in the World to Find the Culture GabfestDana: Writing film reviews on Slate.com and kicking around a book idea that is still in the early stages. You can find updates and commentary on Bluesky. Steve: In the wind, to the sands... and also working on a new book about, among many other things, the 1980s.Julia: Editing L.A. Material and soon appearing weekly on L.A. Material's about-to-launch podcast L.A. World. Also, on Twitter/X, Instagram, and Bluesky.June: At her newsletter Where Are All the Emails?For the time being, listeners can also still reach the panel by emailing culturefest@slate.com. And to keep tabs on the Gabfesters, subscribe to their brand-new newsletter, the Culture Gabletter, to receive occasional updates, endorsements and more. --Podcast production by the immensely talented Benjamin Frisch. Production assistance by the brilliant Daniel Hirsch. Hosted on Acast. See acast.com/privacy for more information.

A eulogistic weepfest? A “valediction forbidding mourning”? A conscious unthroupling? All of the above?Believe it or not, the time has come for Steve, Dana, and Julia to convene the Culture Gabfest panel for the very last time. Before saying goodbye, they look back at the very first piece of culture they ever gabbed about on their inaugural episode in February 2008: the film Juno. Does the indie darling written by Diablo Cody, directed by Jason Reitman, and starring Elliot Page as a sardonic, pregnant teenager hold up after 18 years? And, what does rewatching it in 2026 reveal about how culture has changed? They discuss.Next, the panel welcomes on the grand poobah of SFOPs June Thomas to counsel them through the inevitable change in one's cultural habits that comes after a big life transition. They get into why June stopped watching TV and the truly wild mix of things in her YouTube algorithm. Finally, we hear from you our dear, dear listeners. Steve, Dana, and Julia respond to some of your many beautiful emails and voice memos. In our bonus episode for Slate Plus subscribers, past Gabfest producers spill the beans on what it was like to make this show over the years.And, as always, thank you so much for being a listener.EndorsementsDana: The forthcoming book about translating ancient texts by beloved past Gabfest guest Emily Wilson, Crossing the Wine-Dark Sea: Journeys Through Ancient Literature.June: The podcast Drafting the Past hosted by Kate Carpenter about the craft of writing history.Julia: Manhattan Beach's indie bookstore Pages and On the Calculation of Volume (Book 1) by Solvej Balle (definitely the first 30 pages and maybe the whole five book series).Steve: In addition to the music of Red Garland, I Capture the Castle by Dodie Smith, and the poem “The Writer” by Richard Wilbur, Sparrowbush Bakery, a tiny, rustic bakery in Livingston, New York that is only open Fridays and Saturdays and serves the best bread made from fresh stoneground flour from locally grown grains you'll ever taste.Where in the World to Find the Culture GabfestDana: Writing film reviews on Slate.com and kicking around a book idea that is still in the early stages. You can find updates and commentary on Bluesky. Steve: In the wind, to the sands... and also working on a new book about, among many other things, the 1980s.Julia: Editing L.A. Material and soon appearing weekly on L.A. Material's about-to-launch podcast L.A. World. Also, on Twitter/X, Instagram, and Bluesky.June: At her newsletter Where Are All the Emails?For the time being, listeners can also still reach the panel by emailing culturefest@slate.com. And to keep tabs on the Gabfesters, subscribe to their brand-new newsletter, the Culture Gabletter, to receive occasional updates, endorsements and more. --Podcast production by the immensely talented Benjamin Frisch. Production assistance by the brilliant Daniel Hirsch. Hosted on Acast. See acast.com/privacy for more information.

In this episode, we sit down with Nas Daily, entrepreneur, creator, and founder of one of the world's largest creator brands. After building an audience of more than 70 million followers through nearly a decade of daily videos, Nas made the biggest gamble of his career by pivoting his content to AI. We discuss why he believes AI will create the next Walt Disney, how he built and manages a company with more than 100 employees, the philosophy behind Nas Daily, the family gamble that got him into Harvard, his perspective on the Israel-Palestine conflict, and how he thinks about storytelling, leadership, and the future of content. If you're interested in entrepreneurship, the creator economy, AI, or building a business that stands the test of time, this episode is for you.This episode is supported by Sydecar, HEX, Wispr Flow, Granola, Beehiiv, KalshiSydecar: https://sydecar.io/partners/trailblazersbeehiiv: www.beehiiv.com/splash?utm_campaign=trailblazers-2026-Partnership&utm_medium=podcast&utm_source=trailblazers&utm_term=podcast-3&stripe_campaign_code=TRAILBLAZERS30 (or use code “trailblazers30” for 30% OFF)*beehiiv has a major announcement coming July 16 - can't say more, but you won't want to miss it. RSVP here: https://www.beehiiv.com/summer-release-2026Granola: http://granola.ai/trailblazers*Granola is the official notetaker of Trailblazers. Check out the episode show notes here: https://notes.granola.ai/t/153edc4e-bc9a-410d-8f94-f9aea61e8cfd-00b881l8Kalshi: http://Kalshi.com/r/trailblazersWispr Flow: https://ref.wisprflow.ai/trailblazersHEX: http://hex.ai/trailblazers

If you're starting your career in energy, looking for your next opportunity, or wondering how to stand out in a competitive market, this episode is for you.I sat down with Ryan Menzies, Founder and Director of Apollo, to discuss what engineering consultancies are really looking for, why attitude often matters more than experience, and how graduates and early-career professionals can build long-term careers in an industry that's going through significant change.We also talk about networking, career development, AI, the value of curiosity, and why the current slowdown shouldn't stop people from believing in the future of the energy sector.

On a quiet summer day in Highland, Utah, 38 year old Kacee Terry was found unconscious in the basement of her grandparents' home. For years, everyone around her believed she was dying of terminal cancer. But after her death, investigators uncovered a web of deception so tangled that even they struggled to separate truth from fiction.How to connect:WebsiteInstagramFacebookTwitterTheme and Closing Track:Original compositions created for The Minds of MadnessPlease check out our sponsors and help support the podcast:Shopify - Sign up for a one-dollar-per-month trial period at shopify.com/madnessQuince - Upgrade your wardrobe with pieces made to last with Quince. Go to Quince.com/madness for free shipping on your order and 365-day returns.Raycon - The Essential Open Earbuds are perfect for refreshing your routine this spring. Go to buyraycon.com/mindsofmadnessOPEN to get 20% off!HERS - Feel like your best self again, Visit forhers.com/MADNESS to get a personalized, affordable plan that gets you.LEAN - They're having a Huge Memorial Day Sale and Lean is 25% off!!  Visit takelean.com and enter THANK YOU 25 for 25% OFF.Granola - If meetings are eating up your day, Granola is a no-brainer. You can try it totally free for three months - just head to granola.ai/MADNESSRula - Rula patients typically pay $15 per session when using insurance. Connect with quality therapists and mental health experts who specialize in you at rula.com/madnessGhostBed - Take advantage of Spring Sale pricing, go to GhostBed.com/madness, code MADNESS for an extra 10% off sitewide. Some exclusions apply; see site for details.Research & Writing:Ryan DeiningerEditing:Aiden WolfSources:Utah Nurse Found Guilty of Killing Friend After Bizarre Fake Cancer Claims and $1.5M PlotUtah Nurse Accused of Killing Friend, Who She Allegedly Convinced Had CancerUtah nurse accused of killing friend for $1.5 million life insurance policyUtah nurse accused of murder, faking patient's cancer diagnosis to claim life insuranceUtah nurse arrested and accused of killing friend for life insurance payoutUtah nurse accused of killing former roommate for life insurance in yearslong plotKacee Lyn Terry Obituary Santaquin woman charged with aggravated murder in insulin death of her friendState v. SundwallNurse Found Not Guilty of Murder in Friend's Insulin Death, Convicted of ManslaughterNurse arrested, accused of killing Highland womanUtah nurse arrested after allegedly killing woman for life insurance moneyNurse suspected of murder reportedly married with young childrenLaw & Crime Network Trial PlaylistTrial underway for Utah nurse accused of killing friend she believed had cancerJusticeisaprocess.com

Step into Episode 217 of On The Delo as Delo sits down with Laura, founder of Laura's Gourmet — a woman-owned, Arizona-based granola brand that went from a "happy accident" recipe to 22 years on the shelves of AJ's Fine Foods, Whole Foods, and United Airlines Hawaii flights. From culinary school career changer to food service powerhouse, Laura's journey is a masterclass in trusting your gut, asking for what you want, and never saying no to an opportunity you haven't tried yet.This conversation goes deep on what it really takes to build a certified gluten-free, kosher, chef-driven food brand — navigating FDA compliance, retailers, food service platforms, and now launching an entirely new product category with CounterCool, a lightweight, collapsible aluminum counter rack born out of a real need Laura had as a private chef. Whether you're an entrepreneur, a food lover, or someone figuring out your next chapter, this episode is packed with honest insight, humor, and momentum you can use.Chapter Guide (Timestamps):(0:14 - 1:55) Welcome to EP217, Book Promo & Introducing Laura(1:56 - 5:26) Origin Story: New Jersey, Tech Career, and an Entrepreneur Mindset from Day One(5:27 - 8:48) Finding the Kitchen: From Paris Study Abroad to Culinary School & Celebrity Cuisine(8:49 - 13:22) The Food Philosophy: Slowing Down, Appreciating Your Meal & the Fuel vs. Enjoyment Debate(13:23 - 15:29) Laura's Gourmet Origin: The Happy Accident That Started With a Magazine Recipe(15:30 - 21:27) Getting on the Shelf: Stalking AJ's, Meeting Eddie Basha & 22 Years of Partnership(21:28 - 27:05) Granola 101: What It Is, How It's Made & the Simple Ingredients That Set Laura's Apart(27:06 - 32:30) CounterCool: The Patent-Pending Kitchen Tool Born from a Private Chef Problem(32:31 - 38:38) Savory Toppers, Clusters, Flavors & Where to Buy Laura's Gourmet Products(38:39 - 41:33) Wellness Routines, Saying No, and Leading with Love as an Entrepreneur(41:34 - 46:07) Rapid Fire: Bon Jovi, Appalicious, Granola Shots & South Mountain Trail Runs(46:08 - 46:31) Closing Thoughts: 22 Years in Arizona and the Community That Made It Possible

On a spring afternoon in Lubbock, Texas, a federal agent watched an apartment door from an unmarked vehicle. He was there to find a robbery suspect. Instead, he witnessed something no one expected. What followed was a desperate manhunt, a young mother's death, and a chain of events that no one could stop once it began.How to support:For extra perks including exclusive content, early release, and ad-free episodes -Go to - PatreonHow to connect:WebsiteInstagramFacebookTwitterTheme and Closing Track:Original compositions created for The Minds of MadnessPlease check out our sponsors and help support the podcast:Shopify - Sign up for a one-dollar-per-month trial period at shopify.com/madnessQuince - Upgrade your wardrobe with pieces made to last with Quince. Go to Quince.com/madness for free shipping on your order and 365-day returns.Raycon - The Essential Open Earbuds are perfect for refreshing your routine this spring. Go to buyraycon.com/mindsofmadnessOPEN to get 20% off!HERS - Feel like your best self again, Visit forhers.com/MADNESS to get a personalized, affordable plan that gets you.LEAN - They're having a Huge Memorial Day Sale and Lean is 25% off!!  Visit takelean.com and enter THANK YOU 25 for 25% OFF.Granola - If meetings are eating up your day, Granola is a no-brainer. You can try it totally free for three months - just head to granola.ai/MADNESSRula - Rula patients typically pay $15 per session when using insurance. Connect with quality therapists and mental health experts who specialize in you at rula.com/madnessGhostBed - Take advantage of Spring Sale pricing, go to GhostBed.com/madness, code MADNESS for an extra 10% off sitewide. Some exclusions apply; see site for details.Research & Writing:Sherri SmithResearch:J.R. RainboltEditing:Aiden WolfSources:ObituaryKCBD LubbockEverythingLubbock.comLubbock Avalanche-Journal

In this episode, we sit down with Justin Welsh, entrepreneur, writer, and founder of a $15 million one-person business. After helping build two billion-dollar companies and raising more than $300 million in venture capital, Justin chose a different path; one focused on freedom, leverage, and ownership. We discuss the power of writing, the future of entrepreneurship in the age of AI, why many founders are building the wrong businesses, and how to create wealth without sacrificing your time, health, and relationships. If you want to build a business that supports your life instead of consuming it, this episode is for you.This episode is supported by Sydecar, HEX, Wispr Flow, Granola, Beehiiv, KalshiSydecar: http://Sydecar.io/partner/trailblazersbeehiiv: https://www.beehiiv.com/splash?utm_campaign=trailblazers-2026-Partnership&utm_medium=podcast&utm_source=trailblazers&utm_term=podcast-2&stripe_campaign_code=TRAILBLAZERS30 (or use code “trailblazers30” for 30% OFF)*beehiiv has a major announcement coming July 16 - can't say more, but you won't want to miss it. RSVP here: https://www.beehiiv.com/summer-release-2026Granola: http://granola.ai/trailblazers*Granola is the official notetaker of Trailblazers. Check out the episode show notes here: https://notes.granola.ai/t/5998b389-aaa5-4d9c-bc58-a7ff3230378c-009c2hmaKalshi: http://Kalshi.com/r/trailblazersWispr Flow: https://ref.wisprflow.ai/trailblazersHEX: http://hex.ai/trailblazers

Whether you're a graduate, an aspiring manager, or already leading teams in the energy sector, there comes a point in every career when technical knowledge alone isn't enough. Managing people, making difficult decisions, building trust, and creating opportunities often become just as important as industry expertise.In this episode, I sit down with Philip Lewis, who has spent more than 30 years working across commercial management, business development, general management and consultancy roles throughout the energy, offshore and marine sectors.We discuss how careers can evolve in unexpected directions, what it takes to move into leadership positions, and why building strong networks and support systems matters at every stage of your career. Philip also shares practical perspectives on decision-making, mentoring, managing performance, developing local teams, and building businesses from the ground up.We also explore some of the realities of leadership that are rarely discussed openly, including handling difficult conversations, supporting underperforming team members, and balancing accountability with empathy.

This episode contains some screen sharing so it's best watched on YouTubeWhat happens when one product leader decides to stop copy-pasting between chat windows and instead build an operating layer that puts coding agents in the hands of an entire company?In this episode of Supra Insider, Marc Baselga and Ben Erez sit down with Kyler Ross, Head of Product at Cloaked, to walk through the internal “harness” he started building last Thanksgiving: an agent-friendly system of context files and scripts that lets agents read from and write to the team's real tools. Kyler explains how it gets installed on every company machine, why he treats each new agent session like onboarding an employee, and how a self-improving loop of skills and automated reviews keeps it getting better.They explore his day-to-day setup for running many agents at once, why worktrees and Claude Code hooks exist to make failure nearly impossible, a one-on-one prep skill that pulls context from every corner of the company, and the layered guardrails, including a nightly “librarian” agent, that keep confidential information from leaking.If you're a product or engineering leader trying to make your team more AI-native, someone wiring agents into real workflows, or anyone wrestling with how to run agents safely at scale, this episode is for you.All episodes of the podcast are also available on Spotify, Apple and YouTube.New to the pod? Subscribe below to get the next episode in your inbox

A quiet morning in Herndon, Virginia ended with two people dead and a story that didn't make sense. As investigators peeled back the layers, they uncovered hidden relationships, digital secrets, and a chilling possibility that neither victim understood the role they were meant to play.How to support:For extra perks including exclusive content, early release, and ad-free episodes -Go to - PatreonHow to connect:WebsiteInstagramFacebookTwitterTheme and Closing Track:Original compositions created for The Minds of MadnessPlease check out our sponsors and help support the podcast:Shopify - Sign up for a one-dollar-per-month trial period at shopify.com/madnessQuince - Upgrade your wardrobe with pieces made to last with Quince. Go to Quince.com/madness for free shipping on your order and 365-day returns.Raycon - The Essential Open Earbuds are perfect for refreshing your routine this spring. Go to buyraycon.com/mindsofmadnessOPEN to get 20% off!HERS - Feel like your best self again, Visit forhers.com/MADNESS to get a personalized, affordable plan that gets you.LEAN - They're having a Huge Memorial Day Sale and Lean is 25% off!!  Visit takelean.com and enter THANK YOU 25 for 25% OFF.Granola - If meetings are eating up your day, Granola is a no-brainer. You can try it totally free for three months - just head to granola.ai/MADNESSRula - Rula patients typically pay $15 per session when using insurance. Connect with quality therapists and mental health experts who specialize in you at rula.com/madnessGhostBed - Take advantage of Spring Sale pricing, go to GhostBed.com/madness, code MADNESS for an extra 10% off sitewide. Some exclusions apply; see site for details.Research & Writing:Ryan DeiningerEditing:Aiden WolfSources:Brendan Banfield trial begins with opening statements, au pair testimony in Virginia courtDefense attorney in double murder case pushes back against catfishing theoryProsecutors detail grisly killing of Virginia woman as double murder trial beginsChristine Banfield Died Under Suspicious Circumstances — What Happened?Virginia man having affair with au pair found guilty of murdering wife and another manEx-IRS agent Brendan Banfield guilty in ‘au pair affair' murder trialMan in ‘au pair affair' case convicted of murdering wife and another man in elaborate ruseHusband who had affair with au pair testifies he did not plot to kill wife and another manFormer Brazilian au pair testifies against lover in double homicide caseHusband who had au pair affair testifies about killings of his wife and another manBREAKING: Herndon's Brendan Banfield found guilty of murdering wife, another manJury in Virginia 'au pair affair' double murder must now decide husband's guiltAu pair gets 10-year sentence for scheme to kill lover's wife and another man in VirginiaBREAKING: Au pair sentenced to 10 years in Herndon double-murder caseFormer au pair sentenced to 10 years in Fairfax County double murder caseBrazilian au pair sentenced to 10 years in prison for role in Fairfax County double murderRECAP: Brendan Banfield's lawyer begins calling witnesses in au pair murder trialAu pair murder trial enters week 2: Blood spatter analyst takes the standDay 2 of au pair affair murder trial: Accused mistress returns to witness standHerndon double murder suspect testifies man he shot was stabbing his wifeProsecution rests in Reston au pair double murder trial; Brendan Banfield's defense next upDefense in au pair trial brings witnesses to stand as concerning comments come to lightDigital and DNA evidence take center stage on day 3 of au pair affair murder trialCrimeTimeLines.com Telegram Chat LogLaw & Crime Network Trial Playlist

Patrick McKenzie reads from his 2022 Bits About Money essay on mortgages, making the case that a mortgage is best understood as a manufactured product, not a simple loan between a bank and a customer. He walks through the assembly line behind every home loan, the loan officer and back-office staff who build the 700-page document. Then he traces the supply chain it gets sold into, where GSEs insure against non-payment risk, servicers buy the right to collect monthly checks, and pension funds and other private capital end up holding the economic exposure, because they want it more than banks do.–Full transcript available here: https://www.complexsystemspodcast.com/mortgages/ –Presenting Sponsors: Mercury & Granola Complex Systems is presented by Mercury—radically better banking for founders. Mercury offers the best wire experience anywhere: fast, reliable, and free for domestic U.S. wires, so you can stay focused on growing your business. Apply online in minutes at mercury.com.If meetings consistently leave you with hazy action items and lost context, Granola handles the transcription so you can actually participate and gives you searchable notes afterward. Try it free at granola.ai/complexsystems with code COMPLEXSYSTEMS–Links:Mortgages are a manufactured product: https://www.bitsaboutmoney.com/archive/mortgages-are-a-manufactured-product/ The 30-Year Mortgage is an Intrinsically Toxic Product: https://byrnehobart.medium.com/the-30-year-mortgage-is-an-intrinsically-toxic-product-200c901746a Michael Lewis' The Big Short: https://www.amazon.com/Big-Short-Inside-Doomsday-Machine/dp/0393338827 –Timestamps:(00:00) Intro(02:26) Mortgages are a manufactured product(04:19) Who manufactures mortgages?(07:08) Who buys mortgages?(07:42) The risk of non-payment(10:08) Sponsor: Mercury | Granola(14:35) The risk of failing to service a mortgage correctly(17:51) Every other risk you could imagine, of which there are many(24:04) Scratching the tip of the iceberg(25:10) More about flow meters(26:24) Wrap

In this episode, we sit down with Mark Cuban to uncover the principles behind his success in business. From whether entrepreneurs should drop out of school to the toughest challenges he faced while building his companies, Mark shares the lessons that shaped his career. He explains why curiosity is a competitive advantage, how ego can hold people back, and what separates successful entrepreneurs from everyone else. If you're looking to build a business, advance your career, or think differently about success, this episode is for you.This episode is supported by Sydecar, HEX, Wispr Flow, Granola, Beehiiv, KalshiSydecar: http://Sydecar.io/partner/trailblazersBeehiive: https://www.beehiiv.com (use code “trailblazers30” for 30% OFF)Beehiiv: Use code TRAILBLAZERS30 for 30% off your first 3 months at https://www.beehiiv.com/splash?utm_campaign=trailblazers-2026-Partnership&utm_medium=podcast&utm_source=trailblazers&utm_term=podcast-1&stripe_campaign_code=TRAILBLAZERS30*Beehiiv has a major announcement coming July 16 - can't say more, but you won't want to miss it. RSVP here: https://www.beehiiv.com/summer-release-2026Granola: http://granola.ai/trailblazers*Granola is the official notetaker of Trailblazers. Checkout the episode shownotes here: https://notes.granola.ai/t/8dccb81c-ac02-48e1-afb3-b6a7d8ff9160-00b881l8Kalshi: http://Kalshi.com/r/trailblazersWispr Flow: https://ref.wisprflow.ai/trailblazersHEX: http://hex.ai/trailblazers

Thanks to Our Tique Talks Sponsors:Travel Collection - Connect and learn more about TC's DMCsFlytographer - Earn commission on professional vacation photographyCozy Earth - Use code COZYTIQUE at checkoutHeather Keller of Perfect Landing Travel returns to the show to share how she's leveraging AI to eliminate repetitive tasks and create more space for the work that drives growth. From client communications and workflow management to restaurant research and trip planning support, Heather has built a suite of custom GPTs that function as an extension of her team; bringing greater consistency, efficiency, and scalability to her business without sacrificing personalization.Want to see Heather's GPTs in action? Join us inside the Niche Community on July 2 for a live demonstration where Heather will walk through the custom GPTs she uses to streamline operations, support her team, and deliver a more consistent client experience! Then, continue the conversation at Tique's Travel Business Intensive, August 24-26!About Heather Keller:Heather is the founder of Perfect Landing Travel and a respected luxury travel advisor with more than a decade of industry experience. A consistent top producer with Departure Lounge since 2020, she has been recognized as a Travel + Leisure Rising Star and has helped lead her team to multiple industry nominations. Known for her psychology-informed approach to travel planning, Heather specializes in understanding what clients truly want from their travels—not just where they want to go, but how they want to feel. By combining deep client insight with innovative tools like AI, she creates highly personalized, high-touch travel experiences that feel effortless, thoughtful, and uniquely tailored to each traveler.perfectlandingtravel.cominstagram.com/perfectlandingtravelToday we will cover:(03:00) ChatGPT vs. custom GPTs(06:45) How Heather created GPTs for repeatable tasks and workflows(14:55) Using AI for client communications(20:55) Heather's favorite note-taking tools; Granola and Plaud(26:05) Auditing, tweaking, and refining outputs over time(28:10) How examples, standards, and boundaries improve outputFOLLOW ALONG ON INSTAGRAM @TiqueHQ

This episode will be particularly useful for students, graduates, early career professionals, and anyone interested in hydrogen, decarbonisation, and the future of energy. As the industry continues to balance energy security, sustainability, and new technologies, understanding where opportunities are emerging can help you make more informed career decisions. In this conversation, I speak with Dr. Naveed Akhtar, who has spent more than 25 years working across hydrogen, fuel cells, renewable energy, and industrial decarbonisation projects around the world. We discuss career pathways into hydrogen, the skills employers are looking for, the role of higher education, and why gaining the right experience early can shape your long term career.

In the spring of 2021, Dee Warner vanished from her farm in Franklin Township, Michigan. As investigators searched for answers, an unusual theory began to circulate about what might have happened to her. But as the years passed, that explanation became harder to believe, and a far darker truth slowly emerged from beneath the surface.How to support:For extra perks including exclusive content, early release, and ad-free episodes -Go to - PatreonHow to connect:WebsiteInstagramFacebookTwitterTheme and Closing Track:Original compositions created for The Minds of MadnessPlease check out our sponsors and help support the podcast:Shopify - Sign up for a one-dollar-per-month trial period at shopify.com/madnessQuince - Upgrade your wardrobe with pieces made to last with Quince. Go to Quince.com/madness for free shipping on your order and 365-day returns.Raycon - The Essential Open Earbuds are perfect for refreshing your routine this spring. Go to buyraycon.com/mindsofmadnessOPEN to get 20% off!HERS - Feel like your best self again, Visit forhers.com/MADNESS to get a personalized, affordable plan that gets you.LEAN - They're having a Huge Memorial Day Sale and Lean is 25% off!!  Visit takelean.com and enter THANK YOU 25 for 25% OFF.Granola - If meetings are eating up your day, Granola is a no-brainer. You can try it totally free for three months - just head to granola.ai/MADNESSRula - Rula patients typically pay $15 per session when using insurance. Connect with quality therapists and mental health experts who specialize in you at rula.com/madnessGhostBed - Take advantage of Spring Sale pricing, go to GhostBed.com/madness, code MADNESS for an extra 10% off sitewide. Some exclusions apply; see site for details.Research & Writing:Ryan DeiningerEditing:Aiden WolfSources:Justice Is A Process Case OverviewTracking devices, troubled marriage discussed on day 3 of Warner murder trialProsecutors detail how husband allegedly hid Dee Warner's bodyBodycam of Dale Warner interviews part of murder trial day 2Prosecution outlines cause of death, motive; defense claims no concrete evidenceChildren of Dee Ann Warner petition to establish deathJudge rules there is sufficient evidence for Dale Warner murder case to go to trialFamily and friends of missing Lenawee County woman hoping for answersStill no signs of missing Lenawee County womanFamily of missing Lenawee Co. woman speaksLaw & Crime Trials PlaylistCourt TV Recap Michigan State Police officially takes over Dee Warner missing person caseAuthorities dig up family property in investigation into Dee Warner's disappearanceDee Ann Warner's husband sentenced to 93 days in jail for contempt of court‘Justice for Dee' rallies for first time since major break in the caseTestimony focuses on business finances in pre-trial for man accused of killing wifePreliminary hearing begins for Lenawee County man accused of killing wifeJail calls, a rift between agencies and how Dee's body was allegedly hiddenCourt clerical error leads to confusion for family of Dee WarnerHusband of Dee Warner appears in probate courtDale Warner charged with the murder of Dee Ann WarnerDale Warner murder trial day 7: Tank with Dee Warner's body examinedFamily, friends lay Dee Warner to rest during Celebration of Life

A shepherd disappeared in a remote Colorado canyon, leaving behind more questions than answers. As investigators searched for the truth, they uncovered a family history filled with fear, strange rituals, and secrets that had been buried for years. The deeper they looked, the darker the story became.How to support:For extra perks including exclusive content, early release, and ad-free episodes -Go to - PatreonHow to connect:WebsiteInstagramFacebookTwitterTheme and Closing Track:Original compositions created for The Minds of MadnessPlease check out our sponsors and help support the podcast:Shopify - Sign up for a one-dollar-per-month trial period at shopify.com/madnessQuince - Upgrade your wardrobe with pieces made to last with Quince. Go to Quince.com/madness for free shipping on your order and 365-day returns.Raycon - The Essential Open Earbuds are perfect for refreshing your routine this spring. Go to buyraycon.com/mindsofmadnessOPEN to get 20% off!HERS - Feel like your best self again, Visit forhers.com/MADNESS to get a personalized, affordable plan that gets you.LEAN - They're having a Huge Memorial Day Sale and Lean is 25% off!!  Visit takelean.com and enter THANK YOU 25 for 25% OFF.Granola - If meetings are eating up your day, Granola is a no-brainer. You can try it totally free for three months - just head to granola.ai/MADNESSRula - Rula patients typically pay $15 per session when using insurance. Connect with quality therapists and mental health experts who specialize in you at rula.com/madnessGhostBed - Take advantage of Spring Sale pricing, go to GhostBed.com/madness, code MADNESS for an extra 10% off sitewide. Some exclusions apply; see site for details.Research & Writing:Sherri SmithEditing:Aiden WolfSources:Summit DailyHuffPostDenver PostMurderpediaPost Independent

What does it take to bring AI into businesses that run on physical work, human judgment, and processes nobody has ever written down?In this episode of Supra Insider, Marc Baselga and Ben Erez sit down with Noah Levin, founder of Serious People, to unpack what he calls being a “free-range AI consultant.” Noah explains why most of his work is business consulting from first principles rather than AI consulting, why agents still need humans to deliver real value, and how he groups AI for any company into three buckets: a coworker, an operator, and a product or engineering capability.They explore how AI is collapsing the distance between a conversation and a working prototype, why the new IP is business judgment instead of code, why he believes everything is becoming product management, and the humility it takes to solve problems on a client's terms inside companies that aren't, and shouldn't be, run like tech startups.If you're a product leader figuring out where AI actually creates leverage, an operator weighing whether to go independent, or a builder realizing that distribution now matters more than the thing you build, this episode is for you.All episodes of the podcast are also available on Spotify, Apple and YouTube.New to the pod? Subscribe below to get the next episode in your inbox

In Albany, Georgia, the death of Army veteran Jake Embert was quickly ruled a suicide. But his family never believed it. What began as a heartbreaking loss turned into a twelve-year fight for answers, uncovering contradictions, hidden motives, and a trail of evidence that refused to stay buried.How to support:For extra perks including exclusive content, early release, and ad-free episodes -Go to - PatreonHow to connect:WebsiteInstagramFacebookTwitterTheme and Closing Track:Original compositions created for The Minds of MadnessPlease check out our sponsors and help support the podcast:Shopify - Sign up for a one-dollar-per-month trial period at shopify.com/madnessQuince - Upgrade your wardrobe with pieces made to last with Quince. Go to Quince.com/madness for free shipping on your order and 365-day returns.Raycon - The Essential Open Earbuds are perfect for refreshing your routine this spring. Go to buyraycon.com/mindsofmadnessOPEN to get 20% off!HERS - Feel like your best self again, Visit forhers.com/MADNESS to get a personalized, affordable plan that gets you.LEAN - They're having a Huge Memorial Day Sale and Lean is 25% off!!  Visit takelean.com and enter THANK YOU 25 for 25% OFF.Granola - If meetings are eating up your day, Granola is a no-brainer. You can try it totally free for three months - just head to granola.ai/MADNESSRula - Rula patients typically pay $15 per session when using insurance. Connect with quality therapists and mental health experts who specialize in you at rula.com/madnessGhostBed - Take advantage of Spring Sale pricing, go to GhostBed.com/madness, code MADNESS for an extra 10% off sitewide. Some exclusions apply; see site for details.Research & Writing:Ryan DeiningerEditing:Aiden WolfSources:Three more witnesses took the stand in Susan Embert murder trial Three more witnesses took the stand today in Susan Embert murder trial LIVE: Susan Embert Trial Day Two Of Witness Testimony RECAP: Family, attorneys react to Susan Embert's guilty verdict Mistrial with prejudice granted for Susan Embert Judge denies plea of ‘Double Jeopardy' in Susan Embert trialBusy day in the courtroom as 8 witnesses took the stand in the Susan Embert trialSusan Embert headed back to trial for killing husbandDougherty Co. murder conviction dismissed over speedy trial argumentDOCO district attorney fights back against Susan Embert's murder conviction dismissalDisguised As Suicide Murder Trial: Coroner Testifies in Susan Embert Case A decade later, Susan Embert returns to trial in husband's alleged murderJustice for Jake: The murder indictmentWife charged with husband's murder back in GeorgiaWidow faces more charges in husband's deathEmbert trial delayed so another hearing can be heldEmbert family looks forward to possible trial in husband killer caseSTATE v. EMBERT (2025)Susan Embert trial continues as more witnesses take the standEmbert trial testimony continues Wednesday'You don't give up on your family': Murder victim's family encourages otherSusan Embert takes the witness standSusan Embert sentenced for staging husband's 2014 deathJake Embert Murder: Where is Susan Fortune Now?Susan Embert returns to jail, set to face 2nd murder trial for 2014 murder of husbandAppeal filed in Susan Embert's murder conviction dismissal‘It's heartbreaking': Family reacts to 2019 Dougherty County murder conviction overturnWilliam "Jake" Embert ObituaryA former Albany woman indicted on murder chargeTestimony to continue in high-profile murder trialMistrial possible after incident on Day 3 of Susan Embert trialOnline nightmare | Meet, Marry, Murder | FirstLook True CrimeBehind the Crime Scenes: Lady Fortune | Meet, Marry, Murder | FirstLook True CrimeFirst Trial Video - FacebookFacebook Trial video - Mr. Buckner continuesFacebook Embert List

Patrick McKenzie reads from his 2024 Bits About Money essay on ACATS, the Automated Customer Account Transfer Service that governs how Americans move investment accounts between brokerages, then updates it with regulatory developments (and industry infighting) from early 2026. The essay covers why a system underpinning trillions of dollars in assets was deliberately designed to skip verifying whether transfers are actually authorized, what the three-business-day shot clock means in practice, and how a bad actor armed with a stolen identity and a mobile app can drain someone's retirement account before they notice it's gone. (Good news, though: they'll almost certainly get it back. Bad news: quite stressful, and it often isn't obvious when staring at the zero that this is a recoverable condition.)–Full transcript available here: https://www.complexsystemspodcast.com/acats/ –Presenting Sponsors: Mercury & Granola If you have more interesting hobbies than managing your money, Mercury Personal is built for you. It allows you to automate movement between accounts—allocating paychecks and tax prep the moment they hit—with a sensible permissions model for partners or accountants. It works the way tech people expect banking to work. Go to mercury.com/personal to experience banking built by the same folks Patrick trusts for his business.If meetings consistently leave you with hazy action items and lost context, Granola handles the transcription so you can actually participate and gives you searchable notes afterward. Try it free at granola.ai/complexsystems with code COMPLEXSYSTEMS–Links:Guys what is wrong with ACATS: https://www.bitsaboutmoney.com/archive/how-acats-transfers-work/ –Timestamps:(00:00) Intro(01:49) A brief digression into self-regulatory organizations(03:04) FINRA regulates asset transfers between brokerages(04:54) How does one transfer securities account assets?(06:52) What does an ACATS request actually entail?(09:44) Brokerages frequently do not verify incoming ACATS requests(15:28) Recent developments in ACATS fraud(19:13) Should I be terrified, Patrick?(20:07) Sponsors: Mercury | Granola(23:17) Should I be terrified, Patrick? (cont'd)(24:46) Another fun wonky control(28:29) A final ACATS story(29:58) Regulatory updates: FINRA 26-02(32:34) Comment letters from the industry(43:20) Outro

What do private chefs actually cook for families during the week… and what can home cooks learn from it?In this episode, we're pulling back the curtain on real client menus — from busy families with teenagers to households balancing different dietary needs. These are the kinds of meals designed to work in real life: flexible, flavorful, make-ahead friendly, and built to stretch into multiple lunches and dinners throughout the week.But this episode isn't just about cooking for clients. We're sharing the strategies we rely on in our own kitchens, too: prepping components, building meals around adaptable proteins and sauces, and making food that can evolve throughout the week instead of feeling repetitive by day two.By the end of this episode, you'll discover:How to build “mix-and-match” weekly meal plans that don't feel boringStrategies for prepping proteins, sauces, and vegetables once and using them throughout the weekFour unique menus that feature some of our go-to meals like customizable taco nights, a make-ahead panini, and our favorite mac n' cheese (that has a secret serving of veggies)Tune in now to cook like a private chef in your kitchen!***For more recipes and cooking inspiration, sign up for our free Substack here. And join us on our live monthly calls by upgrading your subscription to paid!***Links:SONYA's -- Menu #1For: 2 meat eaters /2 vegetarians/ 1 meal fresh + other meals prepped in advanceDinner for that night (plus extra):Taco bowls with ground beef, crispy tofu (add your favorite seasonings), cabbage slaw with jalapeno, cilantro, and lime dressing, spicy crema, avocado, and salsa verde + tortilla chipsAdditional meals for mix and match throughout the week:Creamy Lentil tomato soup by Carolina Gelen for NYT CookingRoasted shawarma chicken thighs, also added onion wedges and placed on a sheet panTurmeric black pepper tofu (I use potato starch or cornstarch instead of arrowroot powder)Roasted cauliflower and red onion, spiced with turmeric, cumin and corainder, with currantsHerby tuna salad (recipe can be found in Braids)Mixed lettuces and cucumberGreen goddess dressing (I use yogurt or sour cream in lieu of half of the mayo – you can skip anchovies for vegetarians)KARI - Menu #12 parents/2 teenage boys on Wednesdays Fish tacos with peach + mint + chive salsa by Martha Tinkler for Food Network Kitchen, plus tip for grilling fish: coat it in a thin layer of mayonnaise before putting on a very hot grill and don't move it until it looks almost cooked through! It won't taste like mayo and it won't stick.Spicy skirt steak tacos with red cabbage - similar to Kari's approachRoasted cornGrilled zucchiniKari's Granola recipe is published in Sonya's cookbook, BraidsChicken cheddar sandwich paninis for the fridge similar to what Kari makesSONYA - Menu #2Family of 2, 1 low carb, 1 teenagerMonday:Burger night – cooked in a cast iron pan, one served on a bun (for the teen), the other wrapped with iceberg (for the adult), topped with tomato, onion, avocado, cheese, and bacon. Served with roasted potato wedges (for the teen) and parsnip fries (adult), and a simple saladTuesday:Turkey Kheema (similar to this, but with turkey instead of chicken and no peppers), cauliflower and peas (Gobi Matar), with raita, cauliflower rice, and steamed riceWednesday:Sheetpan sausage with peppers and tomatoes with arugula saladThursday:Vietnamese bowls lemongrass marinated grilled pork, served with rice vermicelli noodles, shredded carrot and cucumber, bed of shredded romaine, almond butter dipping sauceKARI - Menu #22 dads/2 little kids on Thursdays Sweet potato mac and cheese similar to Kari's: use full-fat dairy and can sub canned pumpkin for the sweet potatoChicken cheddar sandwichpaninis for the fridge similar to what Kari makesRoasted delicata squash salad with kaleTuna saladChicken soup - simply made, recipe from our SubstackGranola barsStrawberries, apriumsIna Garten's honey orange yogurt****Got a cooking question? Leave us a message on our hotline at: 323-452-9084For more recipes and cooking inspiration, sign up for our Substack here.Are you a local to Portland or planning a visit? You can now book a private farmers' market tour with Sonya through Airbnb Experiences! Or order Sonya's cookbook Braids for more Food Friends recipes!

This week, we're breaking down the true Benihana experience, debating whether Timothée Chalamet would secretly love the pod, and hyperfixating on Meghan Markle's apricot preserves. Plus: Spencer Pratt's mayoral campaign, naked gym locker room etiquette, lunchbox trauma, divorce fights over toaster ovens, and why Josh embarrassed himself in front of a Croatian flight attendant. What are ya nuts?! Write us! Send your messages to goodguyspodcast1@gmail.com  Follow us on Instagram and TikTok!  Sponsors: If meetings are eating up your day, Granola is a no-brainer. You can try it totally free for three months - just head to granola.ai/goodguys.  If you're looking for a better way to season and prepare everyday meals, you really need to try Diamond Crystal® Kosher Salt, a chef trusted, additive free salt made with light, flaky crystals for easy control, available online and nationwide at your favorite stores like Target, Kroger, Albertsons and more. Get a free 8-count Sample Pack of LMNT's most popular drink mix flavors with any purchase at drinklmnt.com/goodguys. Find your favorite flavor, or share with a friend. Hero Bread is offering 10% off your order. Go to hero.co and use code GUYS at checkout. For a limited time, Nutrafol is offering our listeners $10 off your first month's subscription and free shipping when you visit Nutrafol.com and enter promo code GOODGUYS10 Right now, you can save up to $230 on the 12 piece cookware set vs buying the products individually. If you spend over $495 you will receive a Butcherbox for FREE. Plus if you spend over $795 you can also get a FREE cast iron grill pan! Visit Carawayhome.com/GOOD10 to take an additional 10% off your next purchase. This deal is exclusive for our listeners, so visit Carawayhome.com/GOOD10 or use code GOOD10 at checkout. Please note that this episode may contain paid endorsements and advertisements for products and services. Individuals on the show may have a direct or indirect financial interest in products or services referred to in this episode. Produced by Dear Media. Learn more about your ad choices. Visit megaphone.fm/adchoices

In February 2024, a late-night phone call sent one family into shock. A young mother was found dead inside an apartment in Berlin, New Hampshire, and the father of her two children was on the run.What followed was a nationwide manhunt, a custody dispute filled with conflicting stories, and a courtroom battle over what really happened in the final moments. How to support:For extra perks including exclusive content, early release, and ad-free episodes -Go to - PatreonHow to connect:WebsiteInstagramFacebookTwitterTheme and Closing Track:Original compositions created for The Minds of MadnessPlease check out our sponsors and help support the podcast:Shopify - Sign up for a one-dollar-per-month trial period at shopify.com/madnessQuince - Upgrade your wardrobe with pieces made to last with Quince. Go to Quince.com/madness for free shipping on your order and 365-day returns.Raycon - The Essential Open Earbuds are perfect for refreshing your routine this spring. Go to buyraycon.com/mindsofmadnessOPEN to get 20% off!HERS - Feel like your best self again, Visit forhers.com/MADNESS to get a personalized, affordable plan that gets you.LEAN - They're having a Huge Memorial Day Sale and Lean is 25% off!!  Visit takelean.com and enter THANK YOU 25 for 25% OFF.Granola - If meetings are eating up your day, Granola is a no-brainer. You can try it totally free for three months - just head to granola.ai/MADNESSRula - Rula patients typically pay $15 per session when using insurance. Connect with quality therapists and mental health experts who specialize in you at rula.com/madnessGhostBed - Take advantage of Spring Sale pricing, go to GhostBed.com/madness, code MADNESS for an extra 10% off sitewide. Some exclusions apply; see site for details.Research & Writing:Ryan DeiningerEditing:Aiden WolfSources:Kidnapped Kids Murder Trial — NH v. Dustin Duren — Day 1Kidnapped Kids Murder Trial — NH v. Dustin Duren — Day 2Kidnapped Kids Murder Trial — NH v. Dustin Duren — Day 3Kidnapped Kids Murder Trial — NH v. Dustin Duren — Day 4Kidnapped Kids Murder Trial — NH v. Dustin Duren — Day 5Kidnapped Kids Murder Trial — NH v. Dustin Duren — Day 6State ClosingDefense ClosingDustin Duren details PTSD, custody fears in murder trial testimonyCourt TV Trial RecapNo bail for man accused of killing mother of his kids, prompting Amber AlertMan allegedly killed girls' mother in NH before abducting them, leading to Amber AlertNBC Boston Amber Alert (VIDEO)Woman killed in NH, Amber Alert issued: Timeline of eventsCaitlyn R. Naffziger Obituary NH father charged in murder of mother of his children: full videoNew Hampshire State Police interview of Dustin Duren shown in court during his murder trialProsecutors say man acted out of anger in Berlin shootingBerlin murder suspect takes stand in his defense FridayDefense in murder case asks judge to block Amber Alert, interview transcript from trialMan who triggered Amber Alert, allegedly killed daughters' motherNo bail for man accused of killing mother of his children in BerlinMan accused of killing mother of his children in Berlin ordered held without bailDefense seeks dismissal of charges in case of man accused of killing mother of his childrenMan who allegedly killed daughters' mother, prompted Amber Alert planned to move to New HampshireFather at the center of NH Amber Alert accused of shooting his children's mother to death

On New Year's Eve 2020 in San Diego, California, a woman sent a series of disturbing text messages claiming her stepfather was “waking up” in the back of her SUV. Hours later, 64 year old Tom Merriman was found dead beneath a pile of debris at the end of his driveway.How to support:For extra perks including exclusive content, early release, and ad-free episodes - Go to - PatreonHow to connect:WebsiteInstagramFacebookTwitterTheme and Closing Track:Original compositions created for The Minds of MadnessPlease check out our sponsors and help support the podcast:Shopify - Sign up for a one-dollar-per-month trial period at shopify.com/madnessQuince - Upgrade your wardrobe with pieces made to last with Quince. Go to Quince.com/madness for free shipping on your order and 365-day returns.Raycon - The Essential Open Earbuds are perfect for refreshing your routine this spring. Go to buyraycon.com/mindsofmadnessOPEN to get 20% off!HERS - Feel like your best self again, Visit forhers.com/MADNESS to get a personalized, affordable plan that gets you.LEAN - They're having a Huge Memorial Day Sale and Lean is 25% off!!  Visit takelean.com and enter THANK YOU 25 for 25% OFF.Granola - If meetings are eating up your day, Granola is a no-brainer. You can try it totally free for three months - just head to granola.ai/MADNESSRula - Rula patients typically pay $15 per session when using insurance. Connect with quality therapists and mental health experts who specialize in you at rula.com/madnessGhostBed - Take advantage of Spring Sale pricing, go to GhostBed.com/madness, code MADNESS for an extra 10% off sitewide. Some exclusions apply; see site for details.Research & Writing:Giselle Melanson TattrieEditing:Aiden WolfSources:Toronto SunCBS8San Diego TribuneMy Crime LibraryThe Coast NewsAleida LawKATVCBS8 San DiegoLaw & Crime SidebarRotten Mango PodcastCourtTV

America's a funny place. It's not a country with a fixed geographic or religious identity. We don't have a common story of divine creation. "What we have," writes Ben Rhodes in his new book, ⁠All We Say⁠, "are words." The words of the founding documents, yes — but also "the words of speeches spoken by Americans who call us to be that better version of ourselves." Ben has spent more time with great American speeches than just about anyone. For eight years, he was a speechwriter in the Obama White House, crafting some of the defining oratory of the era. His new book is a 250-year tour through 15 speeches that built the country, challenged it, and raised its sights. He tells us how FDR changed the course of WWII from behind the lectern, how MLK ad-libbed one of the most famous lines in American history, and what Obama's 2008 speech about race can teach today's politicians about storytelling. And he makes the case that America needs great oratory now more than it has in a long time.

It began with an arrest at an airport. A pilot, still in uniform, was taken into custody without warning. But years earlier in Pembroke, Kentucky, Calvin Phillips, Pam Phillips, and their neighbor Ed Dansereau were found dead under circumstances that never quite made sense. As the investigation unfolded, the truth became harder to pin down, and even after the verdict, some questions refused to go away.How to support:For extra perks including exclusive content, early release, and ad-free episodes -Go to - PatreonHow to connect:WebsiteInstagramFacebookTwitterTheme and Closing Track:Original compositions created for The Minds of MadnessPlease check out our sponsors and help support the podcast:Shopify - Sign up for a one-dollar-per-month trial period at shopify.com/madnessQuince - Upgrade your wardrobe with pieces made to last with Quince. Go to Quince.com/madness for free shipping on your order and 365-day returns.Raycon - The Essential Open Earbuds are perfect for refreshing your routine this spring. Go to buyraycon.com/mindsofmadnessOPEN to get 20% off!HERS - Feel like your best self again, Visit forhers.com/MADNESS to get a personalized, affordable plan that gets you.LEAN - They're having a Huge Memorial Day Sale and Lean is 25% off!!  Visit takelean.com and enter THANK YOU 25 for 25% OFF.Granola - If meetings are eating up your day, Granola is a no-brainer. You can try it totally free for three months - just head to granola.ai/MADNESSRula - Rula patients typically pay $15 per session when using insurance. Connect with quality therapists and mental health experts who specialize in you at rula.com/madnessGhostBed - Take advantage of Spring Sale pricing, go to GhostBed.com/madness, code MADNESS for an extra 10% off sitewide. Some exclusions apply; see site for details.Research & Writing:Ryan DeiningerEditing:Aiden WolfSources:Court TV RecapCourt TV Trial PlaylistKentucky Triple Murder Leads to Shocking New Allegations Against Army MajorThe Murder Of A Federal Witness : A News4 SpecialExclusive: Detectives believe American Airlines pilot stashed murder weapons within stairsFormer American Airlines pilot convicted in Kentucky triple murderPilot accused of triple murder claimed one victim had affair with his 'bigamist' ex-wifeAirline pilot, indicted in triple murder, arrested at Louisville airportAirplane pilot pleads not guilty in Kentucky triple murder caseFiancée of Raleigh pilot accused in triple murder says he is '100 percent innocent'Kentucky Supreme Court upholds triple murder convictions of former pilotAmerican Airlines pilot pleads NOT guilty to the 2015 murders of three peopleAmerican Airlines pilot, 51, is arrested at Louisville airport over a 2015 triple murderFormer pilot sentenced to life for murdering neighbor 'who was having affair with his ex-wife'Pilot shot and burned three neighbours over simple misunderstandingFerrier Files: Is the triple murder case for a former Army Major falling apart?FERRIER FILES: Ex-wife of Army Major charged with triple murder breaks her silenceExclusive: Pembroke triple murder suspect explains whereabouts on day of killingsCommercial Pilot Arrested at a Kentucky Airport for a 2015 Triple MurderPilot indicted in 2015 Christian County triple murderPilot accused of 3 murders had criminal record prior to being hired to flyIndictmentGrand Jury Testimony of Lt. Scott SmithDeputies: Kit Martin's family, friends lied at first when asked about missing weapons

Nicholas Thompson, CEO of The Atlantic and host of "The Most Interesting Thing in AI," joins Rufus and Caleb to explain why the machines may master our minds long before they master our muscles — and what that gap tells us about where AI is headed. Along the way: why human podcasters still beat AI ones, how Nick learned to stop worrying and love open source, and where he'd point an infinite AI budget.

#972: Join us as we sit down with Gstaad Guy – social media content creator known for satirising the often-absurd lives of the world's elite through video content. With one of the highest concentrations of ultra-high-net-worth followers on social media, Gstaad Guy has built a cult global audience while collaborating with some of the world's most prestigious luxury brands. In this episode, Gstaad Guy shares the origin of the character, unpacks the nuances of quiet luxury, reflects on the international perspectives he's gained through travel and culture, and discusses the evolving landscape of modern status, taste, and aspiration — along with how to curate a more elevated lifestyle in every sense.   To Watch the Show click HERE   For Detailed Show Notes visit TheBossticks.com   To connect with Gstaad Guy click HERE   To connect with Lauryn Bosstick click HERE   To connect with Michael Bosstick click HERE   Read More on The Skinny Confidential HERE   Head to our ShopMy page HERE and LTK page HERE to find all of the products mentioned in each episode.   Get your burning questions featured on the show! Leave the Him & Her Show a voicemail at +1 (512) 537-7194.   This episode is sponsored by The Skinny Confidential Celebrate Lauryn's Birthday Event with 30% off sitewide at http://shopskinnyconfidential.com using code LBVIP for a limited time.    This episode is sponsored by Squarespace Head to https://www.squarespace.com/skinny to save 10% off your first purchase of a website or domain using code skinny.   This episode is sponsored by Nutrafol For a limited time, Nutrafol is offering our listeners $10 off your first month's subscription and free shipping when you visit http://Nutrafol.com and enter promo code SKINNYHAIR.   This episode is sponsored by Wayfair Head to http://Wayfair.com right now to shop all things home.    This episode is sponsored by Minnow Shop the summer collection at http://shopminnow.com and enter code MEETMINNOW15 at checkout to receive 15% off your first order.   This episode is sponsored by Polymarket Polymarket is now available in the U.S. App Store, with pop culture markets launching very soon. Download the app now and use code SKINNY to skip the waitlist and be first in line when those markets go live.   This episode is sponsored by Neurogum For a limited time, you can get 20% off your first order at http://neurogum.com by using code SKINNY.   This episode is sponsored by Granola AI If meetings are eating up your day, Granola is a no-brainer. You can try it totally free for three months - just head to http://granola.ai/skinny. Produced by Dear Media

The Greek philosopher Epicurus made a rather bold claim over two thousand years ago. The key to life, he said, is simple: pursue pleasure and avoid pain. Around this maxim he developed a school of philosophy, Epicureanism, which promised its adherents that if they took care of their basic needs, surrounded themselves with trustworthy friends, and developed a basic understanding of science, they would be happy. But is it really that simple? Can the advice of someone born 2,363 years ago still hold true? To answer these questions, we turned to Emily Austin, professor of philosophy at Wake Forest University and author of the delightful book Living for Pleasure: An Epicurean Guide to Life. (This episode first aired in January 2023.) Sponsored By: Granola — If meetings are eating up your day, Granola is a no-brainer. You can try it totally free for three months. Just head to granola.ai/idea  Incogni — Protect your personal information online and get an exclusive 60% off an annual plan at incogni.com/nbi  Quince — Refresh your spring wardrobe and get free shipping and 365-day returns at quince.com/nbi    Shopify — Launch your business for just $1/month. Start selling today at shopify.com/nbi

A young law student is found murdered inside her home in Athens, Georgia. The scene is deliberately staged, the evidence nearly erased, and for more than twenty years, the case sits in silence with no clear suspect.A case where everything seemed to lead nowhere until one discovery changed everything and raised a question that still lingers… when nothing else remains, is one truth enough?How to support:For extra perks including exclusive content, early release, and ad-free episodes -Go to - PatreonHow to connect:WebsiteInstagramFacebookTwitterTheme and Closing Track:Original compositions created for The Minds of MadnessPlease check out our sponsors and help support the podcast:Shopify - Sign up for a one-dollar-per-month trial period at shopify.com/madnessQuince - Upgrade your wardrobe with pieces made to last with Quince. Go to Quince.com/madness for free shipping on your order and 365-day returns.Raycon - The Essential Open Earbuds are perfect for refreshing your routine this spring. Go to buyraycon.com/mindsofmadnessOPEN to get 20% off!HERS - Feel like your best self again, Visit forhers.com/MADNESS to get a personalized, affordable plan that gets you.NOCD - If you're struggling with OCD or unrelenting intrusive thoughts, NOCD can help. Book a free 15 minute call to get started: https://learn.nocd.com/MADNESSGranola - If meetings are eating up your day, Granola is a no-brainer. You can try it totally free for three months - just head to granola.ai/MADNESSRula - Rula patients typically pay $15 per session when using insurance. Connect with quality therapists and mental health experts who specialize in you at rula.com/madnessGhostBed - Take advantage of Spring Sale pricing, go to GhostBed.com/madness, code MADNESS for an extra 10% off sitewide. Some exclusions apply; see site for details.Featured Podcast:Monsters Among UsResearch & Writing:Ryan DeiningerEditing:Aiden WolfSources:Law & Crime Trials PlaylistLaw Student Murder Trial – GA v. Edrick Faust – Day 1Law Student Murder Trial – GA v. Edrick Faust – Day 2Law Student Murder Trial – GA v. Edrick Faust – Day 3Law Student Murder Trial – GA v. Edrick Faust – Day 4Law Student Murder Trial – GA v. Edrick Faust – Day 5Law Student Murder Trial – GA v. Edrick Faust – Day 6Law Student Murder Trial – GA v. Edrick Faust – Day 7Law Student Murder Trial – GA v. Edrick Faust – Day 7 Part 2Law Student Murder Trial – GA v. Edrick Faust – Day 8Law Student Murder Trial – GA v. Edrick Faust – Day 9Law Student Murder Trial – GA v. Edrick Faust – Day 10VerdictSentencingFamily of Tara Louise Baker Speaks Out Regarding Arrest in Cold CaseUGA cold case murder: Jury selection underway in Tara Baker murder trialTara Baker murder judge stays on case as defense outlines strategyUGA cold case: GBI talk about arrest in law student's death 23 years agoUGA cold case: Man arrested for student's murder has long criminal historyClose friend provides testimony in Day 2 of Tara Baker trialTara Baker's roommate testifies in Day 4 of murder trialForensic Scientists present more evidence in Day 5 of Tara Baker trialFormer boyfriend testifies in Day 6 of UGA law student murder trialUGA student's death a decade-old mystery

In the early morning hours of July 31st, 2022, an Ohio business park was rocked by the thunderous crash of a car slamming into a brick wall, taking the lives of two passengers.Shockingly, the driver, 17-year-old Mackenzie Shirilla, somehow survived. But as word of the wreck spread like wildfire over social media, people couldn't help but wonder: if it had really just been an accident or whether there'd been something more sinister at play.How to support:For extra perks including exclusive content, early release, and ad-free episodes -Go to - PatreonHow to connect:WebsiteInstagramFacebookTwitterTheme and Closing Track:Original compositions created for The Minds of MadnessPlease check out our sponsors and help support the podcast:Shopify - Sign up for a one-dollar-per-month trial period at shopify.com/madnessQuince - Upgrade your wardrobe with pieces made to last with Quince. Go to Quince.com/madness for free shipping on your order and 365-day returns.Raycon - The Essential Open Earbuds are perfect for refreshing your routine this spring. Go to buyraycon.com/mindsofmadnessOPEN to get 20% off!HERS - Feel like your best self again, Visit forhers.com/MADNESS to get a personalized, affordable plan that gets you.NOCD - If you're struggling with OCD or unrelenting intrusive thoughts, NOCD can help. Book a free 15 minute call to get started: https://learn.nocd.com/MADNESSGranola - If meetings are eating up your day, Granola is a no-brainer. You can try it totally free for three months - just head to granola.ai/MADNESSRula - Rula patients typically pay $15 per session when using insurance. Connect with quality therapists and mental health experts who specialize in you at rula.com/madnessGhostBed - Take advantage of Spring Sale pricing, go to GhostBed.com/madness, code MADNESS for an extra 10% off sitewide. Some exclusions apply; see site for details.Research & Writing:Giselle Melanson TattrieEditing:Aiden WolfSources:Global NewsNBC NewsSerialously Podcast Sept 4, 2023Women and Crime Podcast – Mackenzie ShirillaDaily Mail Daily Mail 2Cleveland.com ObitsSky NewsCrime CircusCleveland19Tiktok

You can run from uncertainty, but you can't hide. The thing to do, says Simone Stolzoff, to develop comfort with ambiguity and build tolerance for the unknown. His new book is How to Not Know: The Value of Uncertainty in a World that Demands Answers. Granola ➡️ If meetings are eating up your day, Granola is a no-brainer. You can try it totally free for three months. Just head to granola.ai/idea Incogni ➡️ Protect your personal information online and get an exclusive 60% off an annual plan at incogni.com/nbi Quince ➡️ Refresh your spring wardrobe and get free shipping and 365-day returns at quince.com/nbi Shopify ➡️ Launch your business for just $1/month. Start selling today at shopify.com/nbi

In the last 20 years, there has been a dramatic change in our understanding of neuroplasticity — the brain's capacity to grow new neurons. In the last five years, we've learned that your hippocampus, the part of your brain responsible for learning and memory, can get bigger at any age. Majid Fotuhi, who teaches at Johns Hopkins, has been at the forefront of a new body of research demonstrating that lifestyle changes — tweaks to the way you exercise and eat, adjustments to your sleep and mindset — can improve your brain health no matter how old you are. They can even reverse early-stage Alzheimer's. His new book is The Invincible Brain, and the message is clear: with the right lifestyle and mindset changes, you can grow a bigger brain.

On a quiet night in Las Vegas, Nevada, a frantic 911 call reported a home invasion that left a woman dead in her own hallway.At first, it looked like a robbery gone wrong.But as investigators began to examine the scene, small details started to surface… details that didn't quite fit the story they had been given.And as the truth slowly came into focus, it revealed something far more calculated and far more disturbing than anyone expected.How to support:For extra perks including exclusive content, early release, and ad-free episodes -Go to - PatreonHow to connect:WebsiteInstagramFacebookTwitterTheme and Closing Track:Original compositions created for The Minds of MadnessPlease check out our sponsors and help support the podcast:Shopify - Sign up for a one-dollar-per-month trial period at shopify.com/madnessQuince - Upgrade your wardrobe with pieces made to last with Quince. Go to Quince.com/madness for free shipping on your order and 365-day returns.Raycon - The Essential Open Earbuds are perfect for refreshing your routine this spring. Go to buyraycon.com/mindsofmadnessOPEN to get 20% off!HERS - Feel like your best self again, Visit forhers.com/MADNESS to get a personalized, affordable plan that gets you.NOCD - If you're struggling with OCD or unrelenting intrusive thoughts, NOCD can help. Book a free 15 minute call to get started: https://learn.nocd.com/MADNESSGranola - If meetings are eating up your day, Granola is a no-brainer. You can try it totally free for three months - just head to granola.ai/MADNESSRula - Rula patients typically pay $15 per session when using insurance. Connect with quality therapists and mental health experts who specialize in you at rula.com/madnessGhostBed - Take advantage of Spring Sale pricing, go to GhostBed.com/madness, code MADNESS for an extra 10% off sitewide. Some exclusions apply; see site for details.Research & Writing:Ryan DeiningerEditing:Aiden WolfSources:Law and Crime Trial PlaylistCourt Tv Trial RecapTrue Crime News 5-part-seriesThomas Randolph: Nevada Man Sentenced to DeathMan convicted of killing wife, hit-man sentenced to deathJury mulls over fate of man convicted of killing wife, hit-manMan convicted of killing wife and hit man sent to prisonLas Vegas murder suspectNevada 'black widower' convicted again of murdering 6th wife, hit manAlleged 'black widower' accused of murdering 6th wife, apparent hitmanSupreme Court RulingDouble murderer with 6 wives not a sociopath, doctor says'Black Widower' Was Married 6 Times, and Only 2 Wives SurvivedThese 6 Women Married Thomas RandolphShould the jury know that he was acquitted of murder?How Thomas Randolph Reacted to Late Wife's Secret WillWho were Thomas Randolph's six wives and what REALLY happened to them?6 wives, 4 are dead: Thomas Randolph faces trial for 6th wife's murderThe Crazy Story Of The Las Vegas WidowerLas Vegas jury convicts man of planning wife's murder, killing hit manJudge Delays Hearing After Witness Fails to AppearFull House WalkthroughHow NOT To Get Away With Murder (again)

An aspiring actress. A family feud. And a gun that was never supposed to go off.On a quiet property in Applegate, Oregon, a simple meeting turned into something irreversible. What followed was captured on video. Moments that would later be used to tell a very different story than the one first claimed.Years later, as reality and performance began to blur, one question remained.Where does the truth end… and the act begin?How to support:For extra perks including exclusive content, early release, and ad-free episodes -Go to - PatreonHow to connect:WebsiteInstagramFacebookTwitterTheme and Closing Track:Original compositions created for The Minds of MadnessPlease check out our sponsors and help support the podcast:Shopify - Sign up for a one-dollar-per-month trial period at shopify.com/madnessQuince - Upgrade your wardrobe with pieces made to last with Quince. Go to Quince.com/madness for free shipping on your order and 365-day returns.Raycon - The Essential Open Earbuds are perfect for refreshing your routine this spring. Go to buyraycon.com/mindsofmadnessOPEN to get 20% off!HERS - Feel like your best self again, Visit forhers.com/MADNESS to get a personalized, affordable plan that gets you.NOCD - If you're struggling with OCD or unrelenting intrusive thoughts, NOCD can help. Book a free 15 minute call to get started: https://learn.nocd.com/MADNESSGranola - If meetings are eating up your day, Granola is a no-brainer. You can try it totally free for three months - just head to granola.ai/MADNESSRula - Rula patients typically pay $15 per session when using insurance. Connect with quality therapists and mental health experts who specialize in you at rula.com/madnessGhostBed - Take advantage of Spring Sale pricing, go to GhostBed.com/madness, code MADNESS for an extra 10% off sitewide. Some exclusions apply; see site for details.Research & Writing:Sherri SmithEditing:Aiden WolfSources:The Washington PostEWU Crime StorytimeDateline S. 29 “Killer Role”KVTLSnapped S.30 Ep. 5Daily MailWikipedia 

A high speed chase through the California desert. A man who refused to stop. And a secret that should never have existed.Scott Kimball was trusted. An informant working alongside the FBI. But as people around him began to disappear, the stories he told were just believable enough to keep suspicion away.For years, it worked.And by the time investigators began to see the pattern, the truth was already buried.Retired FBI Special Agent Jonny Grusing joins us to tell the story from the inside.A video version of this episode is available on YouTube and SpotifyHow to support:For extra perks including exclusive content, early release, and ad-free episodes - Go to - PatreonHow to connect:WebsiteInstagramFacebookTwitterTheme and Closing Track:Original compositions created for The Minds of MadnessPlease check out our sponsors and help support the podcast:Shopify - Sign up for a one-dollar-per-month trial period at shopify.com/madnessQuince - Upgrade your wardrobe with pieces made to last with Quince. Go to Quince.com/madness for free shipping on your order and 365-day returns.Raycon - The Essential Open Earbuds are perfect for refreshing your routine this spring. Go to buyraycon.com/mindsofmadnessOPEN to get 20% off!HERS - Feel like your best self again, Visit forhers.com/MADNESS to get a personalized, affordable plan that gets you.NOCD - If you're struggling with OCD or unrelenting intrusive thoughts, NOCD can help. Book a free 15 minute call to get started: https://learn.nocd.com/MADNESSGranola - If meetings are eating up your day, Granola is a no-brainer. You can try it totally free for three months - just head to granola.ai/MADNESSRula - Rula patients typically pay $15 per session when using insurance. Connect with quality therapists and mental health experts who specialize in you at rula.com/madnessGhostBed - Take advantage of Spring Sale pricing, go to GhostBed.com/madness, code MADNESS for an extra 10% off sitewide. Some exclusions apply; see site for details.Special Thanks:Jonny GrusingResearch & Writing:Ryan DeiningerSources:The Devil I Knew: Unmasking A Serial Killer - Jonny GrusingThe Snitch - Atavist MagazineThree Colorado women murdered and the search for a serial killer named "Hannibal"Convicted serial killer Scott Kimball's sons break silence 20 years after father's killing spreeSerial killer FBI informant tricked feds for years while preying on victims: former agentShe married Scott ‘Hannibal' KimballColorado's FBI informant‑turned serial killer