Podcasts about Blackstone

Attorney General JB McCuskey, Ben Blum and Rod Blackstone on Dirty Birds homestand, and Bryan Hughes on the weather.

In this episode of The Wrap with Chris Whalen, Chris breaks down a blockbuster week of bank earnings — and why the record numbers mask a growing problem. Wall Street trading and investment banking revenues are exploding, but banks aren't making money on money, as asset yields fall for a sixth straight quarter and private credit giants like Apollo poach deals. Whalen flags roughly $4 trillion in bank exposure to non-depository financial institutions, warns "there are no regulators in Washington" watching the risks, and says the housing market's business-purpose loan boom "feels like 2005." He sticks with his double-digit inflation call, arguing diesel — not oil — is the real story, and predicts fuel shortages, maybe even rationing, before the midterm elections. Plus: Kevin Warsh's Greenspan-style Fed debut, gold's selloff as a buying opportunity, viewer questions on Annaly, and a World Cup prediction.Thank you to our sponsor, Monetary Metals. Learn more at https://www.monetary-metals.com/THEWRAP/Links:    The Institutional Risk Analyst: https://www.theinstitutionalriskanalyst.com/  The Wrap: https://www.theinstitutionalriskanalyst.com/post/theira869Twitter/X: https://twitter.com/rcwhalen    Seeing Around Corners book: https://www.theinstitutionalriskanalyst.com/product-page/seeing-around-corners-achieving-success-in-business-and-life-hardcoverUse the code TheWrap2026 for 25% off your first year of The Institutional Risk Analyst https://www.theinstitutionalriskanalyst.com/plans-pricingTimestamps:0:00 — Intro and welcome 00:55 Bank earnings and oil prices soar as Middle East war reignites2:36 — Bank earnings disconnect: Wall Street booms, lending shrinks3:55 — Why big deals keep going to private credit (Apollo, Blackstone)5:59 — The hidden risk: banks lending directly to private credit funds9:06 — The $4 trillion exposure — "no regulators watching the hen house"10:07 — The "Everything Bubble": rising rates, falling yields, record home prices12:06 — Kevin Warsh's Greenspan-style Fed: "inflation is a choice"14:40 — Rate hike odds cool — will the Fed wait until after midterms?15:42 — Energy shortages building: why the Trump administration stays quiet16:45 — Double-digit inflation call stands; possible rationing by Election Day17:53 — Iran destroyed Gulf refining capacity — years to rebuild21:52 — Housing: sales fall 2.4%, median price hits record high23:14 — "It feels like 2005" — DSCR and non-QM loans flash warning signs27:19 — Gold selloff: why Chris is buying more (especially silver)29:37 — Viewer Q: How rates affect Annaly (NLY) — it's all about the spread31:03 — Viewer Q: Warsh's 2% target vs. $80 oil — a double whammy?32:27 — Chris's World Cup prediction: Argentina

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

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

Chinesische Open-Source-Modelle schließen zu westlichen Modellen auf. Bei OpenAI wird das erste eigene Gerät konkret, während ein Analyst vorrechnet, dass das Werbegeschäft die eigene Prognose um 90% verfehlt. Codex und ChatGPT Work kommen auf 8 Mio. aktive Nutzer, gleichzeitig räumt OpenAI ein, dass Codex in seltenen Fällen das Home-Verzeichnis löscht. Google verschiebt den Gemini-Launch, weil die Technik interne Ziele verfehlt. Anthropic und Blackstone wetten, dass das nächste Billionen-Geschäft die Implementation ist, nicht die Modelle selbst. Bei Musk gibt es eine Identitätskrise rund um SpaceXAI, Grok Build wird nach dem Datenskandal open source, und für den Compute-Hunger wird eine Gasturbinen-Firma gekauft. In Europa lockert die EU unter US-Druck die Regeln für Meta-Brillen und zwingt Google gleichzeitig zur KI-Interoperabilität. Dazu die große Konsolidierung: Uber übernimmt Delivery Hero und Salesforce schluckt Contentful. Unterstütze unseren Podcast und entdecke die Angebote unserer Werbepartner auf ⁠⁠⁠⁠⁠⁠doppelgaenger.io/werbung⁠⁠⁠⁠⁠⁠. Vielen Dank!  Philipp Glöckler und Philipp Klöckner sprechen heute über: (00:00:00) OpenAI Speaker (00:03:17) Codex Micro (00:05:29) OpenAI Werbe-Flop 6 Codex 8 Mio. Nutzer (00:11:28) NY Datacenter-Moratorium (00:14:18) Stripe PayPal (00:28:58) Thinking Machines (00:31:49) Soofi-S (00:35:26) Open-Source-AI-Report (00:37:24) Kimi 3 überholt Fable 5 (00:39:16) DeepSeek $74 Mrd. (00:40:10) Gemini verschoben (00:41:18) Ramp KI-Kosten (00:45:53) Earnings: ASML, TSMC, Netflix (00:48:05) Anthropic x Blackstone (00:50:18) Spahn (00:54:14) Truth API (00:59:48) Trump-Insiderwetten (01:01:27) EU lockert Meta-Brillen (01:02:45) Grok lädt Nutzerdaten hoch (01:05:07) SpaceXAI Chaos (01:05:40) Musk kauft APR Energy (01:06:55) xAI-Kraftwerk Umwelt (01:07:20) China vs. Chatbot-Liebe (01:08:37) Globales KI-Gremium (01:09:33) KI-Slop auf Amazon (01:11:26) Eli Lilly kauft Atai (01:12:32) Uber Delivery Hero, Salesforce Contentful (01:13:24) Schwarz Digits Shownotes OpenAI-Speaker ohne Bildschirm - bloomberg.com Codex Micro Keypad - worklouder.cc OpenAI-Werbung verfehlt Ziel um 90% - adweek.com Codex: 8 Mio. Nutzer - xcancel.com Codex löscht Home-Verzeichnis - xcancel.com NY: Moratorium für KI-Rechenzentren - theverge.com Stripe & Advent bieten für PayPal - linkedin.com PayPal-Board lehnt Angebot ab - reuters.com Thinking Machines launcht Inkling - wired.com Soofi-S: deutsches 30B-Modell - the-decoder.com State of Open-Source-AI (Mozilla) - stateofopensource.ai Kimi 3 schließt zu Opus 4.8 auf - techcrunch.com Kimi K3: Fable/Sol-Niveau - xcancel.com Google verschiebt Gemini - bloomberg.com Ramp: KI-Kosten-Dashboard - ramp.com ASML hebt Prognose an - cnbc.com TSMC: +80% Q2-Gewinn - cnbc.com Netflix Q2-Zahlen - cnbc.com Anthropic & Blackstone: Implementation statt Modelle - techcrunch.com Kimi-K3 überholt Fable 5 (Arena) - xcancel.com DeepSeek: $74 Mrd. vor IPO - reuters.com DeepSeek plant Börsengang - ft.com Truth API: Trump-Posts für Wall Street - cnbc.com Insiderwetten auf Trump-Reden - spiegel.de EU lockert Regeln für Meta-Brillen - politico.eu Grok Build lädt Daten hoch, wird Open Source - simonwillison.net Musk zur SpaceXAI-Datenspeicherung - xcancel.com SpaceXAI in der Identitätskrise - bloomberg.com Musk kauft Gasturbinen-Firma APR Energy - electrek.co xAI-Kraftwerk belastet Black Communities - reuters.com China verbietet Chatbot-Liebe - wsj.com 29 Länder gründen KI-Gremium - reuters.com KI-Slop-Biografien auf Amazon - nytimes.com Jens Spahn ist Vater geworden - spiegel.de Eli Lilly kauft AtaiBeckley ($2,8 Mrd.) - pharmaceutical-technology.com Uber vor Delivery-Hero-Deal (FT) - ft.com Uber kauft Delivery Hero ($14,8 Mrd.) - bloomberg.com Pausder plant ARK Labs (Palantir-Vorbild) - manager-magazin.de Salesforce kauft Contentful (1,3 Mrd.) - manager-magazin.de Schwarz-Gruppe gibt XM Cyber ab - manager-magazin.de EU zwingt Google zu KI-Interoperabilität - theverge.com ZDF untersagt Levit & Danger Dan - spiegel.de Doppelgänger Orakel - doppelgaenger-orakel.com

Dice Shame Recommends! Before we jump into Season 3 of Dice Shame, check out our sister show, MALEVOLENT!Malevolent: THRESHOLD is a direct continuation of Malevolent, the Audio Drama. This Series 2 sees John and Arthur having returned to Arkham after their time seeking the BLACKSTONE and facing the new and terrible truth this world has revealed to them. Faced with the new challenges before them and old foes perhaps still a threat, the duo must carve a new path in this strange world.Featuring Jo Guthrie as "Faroe"Support Malevolent and be a part of the story now at: https://www.patreon.com/TheINVICTUSStream Hosted on Acast. See acast.com/privacy for more information.

(July 14, 2026 - Hour Two)On the show tonight (All Times Eastern):9:14pm - David Gafford - The Barbecue Lab9:35pm - Robert Moss10:14pm - Roger Dahle - Weber/Blackstone CEOAll this plus a new "Would You Rather" YouTube Poll Question of the week and results from last week's poll.The BBQ Central Show SponsorsPrimo GrillsFireboardMicallef Cigars – Premium Hand Rolled Cigars

Trump heads to the Army War College in Pennsylvania for Senator Dave McCormick's defense summit, and somehow turns an infrastructure announcement into a masterclass on aircraft carrier catapults. Nearly $10 billion in new defense investment gets unveiled on the spot, submarines, shipyards, missile components, robotics hubs, and a passionate, extended rant about why magnets do not belong on Navy elevators. The room is stacked with heavy hitters, Jamie Dimon, Boeing's CEO, Lockheed, General Dynamics, Blackstone, all taking turns praising the new pace of business at the Pentagon. Between the economic numbers and manufacturing stats, there's a serious policy announcement on commercial truck licensing, a teaser for a "very big" Thursday announcement on election integrity, and a genuinely emotional moment honoring a fallen state trooper. It's part economic victory lap, part military pep rally, and part engineering opinion piece, with a truck cameo that gets compared to the infamous Dukakis tank moment.

Founders 100 ETFs CIO Lauren Cassidy explains why she believes today's banking environment is the strongest in decades, driven by healthy capital markets, renewed IPO activity, and resilient lending trends. She also shares her outlook on private credit, market growth through 2027, and the upcoming earnings reports from leaders including Nvidia's (NVDA) Jensen Huang, Oracle's (ORCL) Larry Ellison, and Blackstone's (BX) Stephen Schwarzman.======== Schwab Network ========Empowering every investor and trader, every market day. Subscribe to the Market Minute newsletter - https://schwabnetwork.com/subscribeDownload the iOS app - https://apps.apple.com/us/app/schwab-network/id1460719185Download the Amazon Fire Tv App - https://www.amazon.com/TD-Ameritrade-Network/dp/B07KRD76C7Watch on Sling - https://watch.sling.com/1/asset/191928615bd8d47686f94682aefaa007/watchWatch on Vizio - https://www.vizio.com/en/watchfreeplus-exploreWatch on DistroTV - https://www.distro.tv/live/schwab-network/Follow us on X – https://twitter.com/schwabnetworkFollow us on Facebook – https://www.facebook.com/schwabnetworkFollow us on LinkedIn - https://www.linkedin.com/company/schwab-network/ About Schwab Network - https://schwabnetwork.com/about

In today's Cloud Wars Minute, I explain why hyperscalers are rewriting the rules of deal-making to build the next generation of AI infrastructure. Highlights 00:01 — We are seeing the beginnings here of an incredible round of innovation, not just in technology, but in deal-making, partnerships, alliances, and financing, all by the hyperscalers trying to meet this insatiable AI demand. We're seeing these companies undertake some very innovative, bold, distinctive new strategies to build the capability and capacity to get these AI data centers built out to meet this insatiable demand. 00:49 — Google Cloud did a joint venture with Blackstone, in which Blackstone invested $5 billion into the joint venture. We have seen Amazon issue a series of debt and bond offerings totaling over $100 billion. AWS has said that in calendar year 2026 it will spend $200 billion on CapEx, most of which is going into AI data centers. Oracle announced $50 billion in debt and equity financing. 01:57 — This funding, this raising of funds to build out the data centers, is because there is, among these hyperscalers, over $2 trillion in committed contracted business. While Oracle right now is the smallest by revenue of the hyperscalers, it has the largest backlog, and in order to meet that, it has to spend a lot of money to build the capacity. 02:46 — Microsoft is using proceeds from its brilliant early relationship with OpenAI to help secure some of the funding. Under a newly restructured agreement between the two companies, Microsoft now will receive 20% of OpenAI revenues for the next few years. Plus, Microsoft has a huge ownership stake in OpenAI. 04:17 — Remarkable things are going on here as the technology buildout by all these companies has helped create this incredible demand. What we're seeing now is extraordinary efforts by the hyperscalers to combine with other companies, move into different industries, and do everything possible — at staggering expense — to meet this insatiable customer demand for AI. Visit Cloud Wars for more.

As part of our ongoing series of episodes devoted to thecelebration of the 250th Anniversary of the Declaration, we are delighted to bring you an episode devoted to the legal relevance of the Declaration's most famous sentence, “We hold these truths to be self-evident, that all men are created equal, that they are endowed by their Creator with certain unalienable Rights, that among these are Life, Liberty and the pursuit of Happiness.” We'll focus in today's episode particularly on that last phrase. In his Commentaries on the Laws of England, William Blackstone described the pursuit of happiness as a science of jurisprudence by which his students could identify, and then apply, the first principles of the Common Law in their future work in law.  Separately, the American founders includedthe pursuit of happiness as one of only three unalienable rights specifically listed in the Declaration of Independence.  Where do Blackstone and the founders agree and disagree in their understanding of the pursuit of happiness? What practical role (if any) did they suggest the concept could serve in English and early American law and legal philosophy? To discuss these subjects, we are pleased to have Carli N. Conklin with us. She is an associate professor at University of Missouri School of Law, an associate professor of constitutional democracy and former associate director at theKinder Institute on Constitutional Democracy, and director of the School of Law's Center for the Study of Dispute Resolution. She earned her JD/MA and PhD in American Legal History from the University of Virginia, where she received the School of Law's John and Madeleine Traynor prize for outstanding written work. This episode is captured from a jointly-sponsored webinar by the James Wilson Institute and the Center for Religion Culture and Democracy of First Liberty Institute.

Brendan Wallace is the Founder, CEO & CIO of Fifth Wall, the largest investment firm focused on technology for the built environment, with ~$3B in capital, the firm is driving the growth of nearly 170 companies, backing category-defining PropTech leaders such as Opendoor, Procore, Blend, Hippo, and Bilt Rewards. It's supported by ~115 of the world's largest real estate owner-operators including CBRE, Hilton, Hines, Marriott, Public Storage, Related, and Starwood. Before Fifth Wall, Brendan was at Goldman Sachs and Blackstone, and he co-founded Identified (sold to Workday) and Cabify. In this episode of Summation, Brendan and Auren discuss:How remote work protected mediocrity for yearsThe data center land grab: powered land, 2037 grid connections, and bring-your-own-solarHow land is the most stable asset on earth and there's still no way to buy an index of itWhy "capital-intensive businesses are bad for venture" is no longer trueYou can find Auren Hoffman on X at @auren and Brendan Wallace on X at @BrendanFWallace

Một năm trước, trong diễn văn khai mạc Tuần lễ Công nghệ Luân Đôn (London Tech Week 09-13/06/2025), thủ tướng Anh Keir Starmer đã nêu ra chiến lược lấy việc phát triển trí tuệ nhân tạo AI làm bàn đạp thúc đẩy tăng trưởng kinh tế giai đoạn 2025-2030. Sau một năm lên kế hoạch, với khoản đầu tư gần 100 tỷ bảng vào các trung tâm dữ liệu, vào y tế và giáo dục, ngành AI của Anh đã đạt được tiến bộ gì và giúp cho tăng trưởng kinh tế tới đâu? Thông tín viên Nguyễn Giang từ Luân Đôn giải thích: Anh Quốc đánh cược vào AI RFI : Đầu tiên, xin Nguyễn Giang nói về việc triển khai chiến lược AI của Vương quốc Anh?   Nguyễn Giang : Quan sát những gì Anh quốc đã và đang làm hơn một năm qua, tôi thấy họ đặt trọng tâm của kế hoạch phát triển AI vào các Khu vực Tăng trưởng Ai, tức AI Growth Zones, gọi tắt là AHGZ, với ba mục tiêu: hỗ trợ tăng trưởng kinh tế, tạo đột phá công nghệ và cân bằng, kết nối các vùng miền của Vương quốc Anh. Mô hình AI Growth Zones (Khu vực Tăng trưởng AI) tạo ra các cụm siêu trung tâm dữ liệu (hyperscale data centres) và điện toán hiệu năng cao. Chính phủ Anh đã phê duyệt hàng loạt khu vực trọng điểm ở hạt Oxfordshire (Culham - trung tâm đầu tiên), Đông Bắc Anh (Blyth & North Tyneside), xứ Wales (Wylfa) và gần đây nhất là Scotland (khu vực Lanarkshire - tháng 1/2026). Họ chia ra để mọi khu vực địa lý chính của Vương quốc Anh đều có cơ hội tiếp cận AI.  Khu quan trọng nhất là hành lang công nghệ Oxford-Cambridge (thực tế là cùng Luân Đôn lập ra một Tam giác High-Tech). Xin nhắc là từ Luân Đôn tới Cambridge và Oxford khoảng cách chỉ chừng hơn 100 km. Các đại học lớn, kể cả phòng thí nghiệm nguyên tử quan trọng nhất của Anh (Arbington), cũng nằm trong tam giác này. Điều này giảm được chi phí giao thông, hút được nguồn nhân lực chất lượng cao và tạo điều kiện cho việc kết nối băng thông cho hệ thống điện toán. Nhưng Anh cũng lập các vùng AI Growth Zone ở cả Wales, miền bắc Anh và Scotland là có ý duy trì nhiều động cơ kinh tế cho các vùng đất kia. RFI: Cho tới nay thì các khoản đầu tư được khu vực tư nhân đăng ký vào các khu vực tăng trưởng AI này là bao nhiêu? Nguyễn Giang : Mục tiêu chung là phải đạt tới 100 tỷ bảng Anh đầu tư từ khối tư nhân vào hạ tầng AI thông qua cơ chế này. Ở vùng Đông Bắc (North East AIGZ), quỹ đầu tư Blackstone đã cam kết bỏ ra10 tỷ bảng Anh để xây dựng trung tâm dữ liệu tại Blyth, đồng thời mở đường cho 20 tỷ bảng bổ sung từ các đối tác khác. Chính phủ Anh cũng trực tiếp chi ngân sách tài trợ ban đầu hơn 2,5 tỷ bảng để kích hoạt hệ thống điện toán quốc gia. Điều đáng chú ý là phần cam kết từ cả hai phía. Về phía mình, chính phủ Anh cam kết giá điện đặc biệt cho data centre tại các vùng có thặng dư năng lượng (ví dụ: giảm từ 14 đến 24 bảng/MWh tùy khu vực, tiết kiệm tới 80 triệu bảng/năm cho một trung tâm 500MW). Để đẩy nhanh tiến độ thiết kế các trung tâm dữ liệu, họ ưu tiên đưa chúng vào danh mục Hạ tầng Quốc gia Trọng yếu (Critical National Infrastructure - CNI), cho phép rút ngắn thời gian chờ đấu nối vào lưới điện quốc gia lên đến 5 năm và cắt giảm quy trình phê duyệt quy hoạch từ 18 tháng xuống còn 12 tháng. Còn về phía các nhà đầu tư cùng đối tác ở địa phương thì họ tìm cách bố trí quỹ đất tối thiểu 100 mẫu Anh (acres) đã được dọn sẵn hoặc đủ tiêu chuẩn sẵn sàng xây dựng trước 2028, cam kết tạo ra hàng nghìn việc làm chất lượng cao (như vùng North East cam kết tạo 5.000 việc làm), và phối hợp với các đại học địa phương (Newcastle, Durham...) xây dựng chương trình đào tạo nhân lực AI. Họ cam kết sẽ kết nối với các đại học địa phương. Hiện đang làm nghiên cứu trong một đại học ở Luân Đôn và đã dự nhiều khóa học, hội thảo, tôi thấy một xu hướng rõ rệt: các đại học Anh đang xóa bỏ, thậm chí đóng nhiều khoa ở các trường khắp cả nước trong các bộ môn khoa học xã hội, nghệ thuật, ngôn ngữ, nhưng lại đang mở rất nhiều khóa, ngành liên quan đến trí tuệ nhân tạo, từ mảng nghiên cứu, phát triển công nghệ tới ứng dụng Ai trong đủ mọi lĩnh vực. Xem ra đây là tương lai mới cho giáo dục đại học. RFI: Một câu chuyện nhiều nước nói tới là các trung tâm dữ liệu tiêu thụ điện năng rất lớn. Vậy ở Anh, nguồn năng lượng điện đến từ đâu? Có nằm cạnh nhà máy điện hạt nhân? Nguyễn Giang : Đúng thế, năng lượng là "nút thắt" lớn nhất của hạ tầng AI, và chiến lược của Anh là áp sát nguồn phát năng lượng sạch quy mô lớn, nhưng không chỉ giới hạn ở điện hạt nhân. Điện nguyên tử không phải tất cả, nhưng đây là một trục xương sống cho AI. Ví dụ điển hình nhất là North Wales AI Growth Zone, nơi được thiết kế cặp đôi chiến lược (strategically paired) nằm ngay cạnh dự án Lò phản ứng mô-đun nhỏ (SMR) đầu tiên của Anh tại Wylfa. Sự kết hợp này nhằm cung cấp nguồn điện tải nền (baseload) cực kỳ ổn định và khổng lồ cho các cụm chip AI mà không làm quá tải lưới điện dân dụng. Ngoài ra thì tại vùng North East (Blyth), các trung tâm dữ liệu dùng nguồn điện đến từ các trạm tiếp bờ của điện gió ngoài khơi lớn nhất thế giới ở Biển Bắc (North Sea) và mua cả năng lượng qua cáp ngầm kết nối thủy điện từ Na Uy. Tại Scotland, họ tận dụng nguồn năng lượng tái tạo thặng dư (gió và thủy điện) vốn thường bị nghẽn, không thể truyền tải về miền Nam. Các báo Anh gần đây hay đăng các câu chuyện thú vị như nhà nông nào đó ở vùng quê bán trang trại, lò sản xuất bánh mì, trạm xay bột cho công ty Ai để xây data centre. Theo một điều tra của nhà báo Henry Mawhood cho trang báo nghề cá ở Anh thì thực ra câu chuyện không đơn giản như vậy nhưng đúng là các vùng ven biển phía Tây đảo Anh, từ Weston-Super-Mare tới Cumbria (England), rồi miền Nam xứ Wales và duyên hải Đông Bắc Scotland, người ta đang có kế hoạch xây hai thứ: các nhà máy điện nguyên tử mini, các trạm nhận điện qua cáp ngầm từ Bắc Âu (Na Uy) và các trạm đón tuyến cáp truyền dữ liệu xuyên Đại Tây Dương, nối Anh với Hoa Kỳ. Vì thế, đúng là có những nơi nhà nông được mời chào bán lại các miếng đất, nhà xưởng, ít nhất với diện tích 1-2 trăm mét vuông, để chứa data centre. Trong tháng 6 năm nay, có câu chuyện mang tính biểu tượng ở Anh. Thủ tướng Kier Starmer đã thăm một nhà máy xà phòng cũ có 130 năm tuổi ở Warrington, hạt Cheshire, để dự lễ khai trương dự án trung tâm dữ  liệu. Tức là họ biến một điểm công nghiệp rất là cũ thành trung tâm dữ liệu, dùng nguồn điện, nước có sẵn.  RFI: Theo anh, công suất cho điện dùng vào trí tuệ nhân tạo ở Anh có đủ không? Nguyễn Giang : Theo các báo chuyên ngành đánh giá thì điện ở Anh, gồm cả điện nguyên tử, hiện tại là đủ cho lộ trình giai đoạn 1 nhờ chiến lược phân bổ vùng. Ví dụ, riêng trung tâm dữ liệu AI tại Blyth đang tăng tốc để đạt công suất 1,1 GW (Gigawatt) trong vòng 6 năm tới, biến nó thành một trong những cụm dữ liệu lớn nhất châu Âu. Bằng cách đặt data centre tại nơi "nguồn phát" dư thừa, Anh giải quyết được bài toán tổn thất truyền tải và giá điện cao. RFI: Cho tới nay, việc sử dụng AI trong y tế, tài chính và giáo dục tại Anh ra sao? Nguyễn Giang : Theo chỉ số tâm lý AI (EY AI Sentiment Index) tính đến giữa năm 2026, bức tranh ứng dụng của Anh như sau: Trong Dịch vụ Sức khỏe Quốc gia (NHS- tức Y tế công) thì kế hoạch 10 năm của Anh đã đưa AI từ giai đoạn thí điểm sang tích dợp hệ thống toàn diện. AI hiện là "trợ lý số" bắt buộc ở nhiều khâu: các công cụ "Ambient Scribing" (AI ghi âm cuộc thoại bác sĩ - bệnh nhân tự động chuyển thành hồ sơ bệnh án) phổ cập mạnh mẽ; ứng dụng NHS App tích hợp AI thành cổng sàng lọc bệnh tự động. Đặc biệt, Bộ Y tế Anh vừa tung ra mô hình "MHRA AI Airlock / Sandbox" (tháng 6/2026) để thử nghiệm AI trong việc dự đoán tác dụng phụ của thuốc, giúp NHS giảm bớt gánh nặng chi phí 2 tỷ bảng/năm do phản ứng ngược của thuốc gây ra. Mạnh và sâu hơn là ứng dụng trong tài chính dùng công nghệ số (fintech). Trên thực tế thì tỷ lệ ứng dụng AI ở Anh trong ngành này đã đạt 75%. Các ngân hàng và công ty tài chính Anh đang dùng AI sâu trong phát hiện gian lận (anti-frauds), trong giao dịch tự động và tuân thủ pháp lý (compliance). Vào tháng 1/2026, Cơ quan Quản lý Tài chính (FCA) đã mở cuộc điều tra Mills Review để đánh giá toàn diện tác động dài hạn của AI đối với dịch vụ tài chính tiêu dùng, đồng thời tích hợp sâu công cụ Agentic AI (AI tự chủ) vào hệ thống vận hành. Trong giáo dục đại học, Anh đang chuyển mạnh từ các ngành xã hội sang công nghệ. Hiện Bộ Giáo dục đã chuẩn hóa hơn 400 chương trình thạc sĩ chuyên sâu về AI và 28 trung tâm đào tạo tiến sĩ (CDT). Các trường đại học lớn như Edinburgh (với Bayes Centre), Cambridge, Oxford hoạt động như các lõi R&D chuyển giao công nghệ trực tiếp cho doanh nghiệp trong các AI Growth Zones. RFI:  So với Liên Âu thì Anh Quốc đi trước hay sau về công nghệ AI trong ứng dụng vào kinh tế và các ngành nghề? Nguyễn Giang : Có thể nói về mặt thương mại, hạ tầng và đầu tư thì Anh đi trước. Anh hiện đứng đầu châu Âu và thứ 4 thế giới về năng lực nghiên cứu cũng như thu hút vốn đầu tư mạo hiểm cho AI (riêng năm 2024 đạt gần 3 tỷ bảng). Do lợi thế về nguồn dữ liệu tập trung của NHS và thị trường tài chính London, các tập đoàn Mỹ (Google, Microsoft, OpenAI) chọn Anh làm bãi đáp hạ tầng lớn hơn so với Liên Âu Ưu thế của Anh là có tốc độ tích hợp AI vào dịch vụ công như trong y tế công (NHS) đồng bộ hơn nhờ cơ chế quản lý tập trung, trong khi EU bị phân mảnh theo từng quốc gia thành viên. Nhưng so sánh Anh và Pháp thì bức tranh lại hơi khác RFI:  Anh và Pháp được cho là hai quốc gia châu Âu hành đầu, cạnh tranh với Hoa Kỳ, Trung Quốc về AI nhưng cũng cạnh tranh với nhau? Nguyễn Giang : Các thông tin do hai chính phủ Anh và Pháp công bố dần dần cho thấy sự khác biệt, ưu điểm và nhược điểm của mỗi bên trong chiến lược phát triển AI. Tôi xin điểm ra một số nhỏ: Anh đã triển khai các trung tâm dữ liệu nhanh hơn Pháp. Vì ở Pháp, dù Hội nghị thượng đỉnh Choose France cam kết cắt giảm thủ tục hành chính của Pháp, nhưng Pháp cũng bị ràng buộc bởi các quy định quản lý đất đai và bảo vệ môi trường chặt chẽ của Liên Hiệp Châu Âu nên thủ tục làm tốn thời gian hơn trong việc giải phóng mặt bằng quy mô lớn. Pháp muốn đi nhanh nhưng vẫn phải tuân thủ luật Liên Âu (EU AI Act), còn Anh thì có môi trường pháp lý thoáng hơn, gần với Hoa Kỳ hơn, và thái độ ‘pro-innovation' có vẻ đang tốt hơn Pháp. Trong việc xây dựng hệ sinh thái tài chính và thương mại kỹ thuật số thì Anh có sẵn Luân Đôn là trung tâm Fintech số 1 châu Âu, kết nối truyền thống mạnh mẽ trong thế giới nói tiếng Anh với New York, với Singapore, Hồng Kông nên giúp các AI Growth Zone dễ dàng kết nối trực tiếp giải pháp AI vào thị trường tài chính toàn cầu. Thêm vào đó, việc sở hữu Dữ liệu tập trung của Y tế công NHS là lợi thế độc quyền mà Pháp không có. Anh dễ dàng thu hút các tập đoàn y sinh AI lớn đến thiết lập trung tâm tính toán, vì họ có thể tiếp cận kho dữ liệu y tế khổng lồ hàng đầu thế giới thông qua các cơ chế an toàn số (như MHRA AI Airlock). Thế nhưng, về quy mô vốn đầu tư hạ tầng khổng lồ bằng tiền nước ngoài (FDI Magnitude) thì Pháp đang hơn Anh. Ví dụ, Hội nghị Choose France, tập đoàn SoftBank đã cam kết chi tới 75 tỷ euro (trong đó 45 tỷ euro giải ngân trước 2031) để xây dựng cụm trung tâm dữ liệu AI khổng lồ công suất 5 GW tại Dunkerque. Bên cạnh đó là 10 tỷ euro từ Brookfield và 7,5 tỷ euro từ quỹ MGX (UAE). Hiện chưa rõ cuộc chạy đua đường dài về AI (AI race) giữa Anh và Pháp ra sao, nhưng cả hai nước đều đang đổ tiền vào. Tổng thống Emmanuel Macron công bố trong tháng 6/2026 khoản đầu tư 1,55 tỷ euro tiền công vào công nghệ quantum và bán dẫn (semiconductors). Cùng lúc, chính phủ Anh cũng trực tiếp chi ngân sách tài trợ ban đầu hơn 2,5 tỷ bảng để kích hoạt hệ thống điện toán quốc gia kết nối AI. RFI: Nếu làm tốt, các kế hoạch này có giúp kinh tế Anh tăng trưởng giai đoạn 2027-2030 không? Nguyễn Giang : Anh Quốc đang hy vọng kế hoạch AI Growth Zones và chuyển đổi số này được thực thi trơn tru, Nhờ đó mà tác động lên giai đoạn 2027-2030 sẽ có thể phát huy tác dụng qua ba kênh: Một là người ta hy vọng có dòng vốn dịch chuyển mạnh từ Mỹ sang Anh, không chỉ với con số 100 tỷ bảng đầu tư hạ tầng cam kết đến năm 2030 và còn có các cam kết mới. Các đầu tư này sẽ trực tiếp đóng góp vào GDP thông qua xây dựng và mua sắm thiết bị công nghệ cao ở Anh. Hai là AI sẽ làm tăng hiệu suất của y tế và tài chính, dịch vụ công. Lấy ví dụ ứng dụng AI giúp rút ngắn thời gian chẩn đoán của bác sĩ, cắt ngắn thời gian chờ được khám bệnh, và gián tiếp giải phóng hàng tỷ bảng Anh áp lực ngân sách (thời gian, giờ công) cho phép tái đầu tư tiền vào các khu vực kinh tế tạo ra thặng dư cao hơn. Và thứ ba là tác động lan tỏa (Spillover effects). Đây là điều cần chờ xem. Thế nhưng theo các mô hình dự báo, khi các AI Growth Zones đi vào hoạt động ổn định từ năm 2027, các ngành kế toán, tài chính, năng lực tính toán trong sản xuất v.v. sẽ nhờ giải pháp AI mà giảm được chi phí. Qua đó, giá trị chung của toàn chuỗi cung ứng ở Anh sẽ tăng lên, cùng sức cạnh tranh của hàng hóa Anh. Chúng ta sẽ không thấy ngay lợi ích này, nhưng đây là quá trình chuyển đổi, có người nói là cuộc cách mạng cơ sở hạ tầng lớn nhất từ thế kỷ 16 nên cần phải có  thời gian để “hưởng lợi”, nhìn từ góc độ của Anh Quốc.

Gerard and Laurent first welcomed David Scaysbrook to the podcast in Episode 66, back in January 2022, for a conversation about the future of 24/7 power. Four years later, it felt like the right moment to reconnect and take stock of how profoundly the market has evolved.  Since then, Quinbrook Infrastructure Partners has continued to establish itself as one of the leading specialist investors in the energy transition, orchestrating and deploying billions of dollars of capital through project finance structures and platform companies.   As of today, the firm has participated in more than $27 billion of transactions, developed or acquired over 240 projects, and built a portfolio exceeding 40 GW across the United States, the United Kingdom, and Australia.  Our discussion traces Quinbrook's own transformation alongside that of the broader energy landscape. We revisit the firm's strategic exit from wind generation, marked by the sale of its Scout platform to Brookfield in 2023 for more than $1 billion, and explore how its focus has shifted toward utility-scale solar and long-duration energy storage across the United States and Australia.  More fundamentally, David explains how Quinbrook has moved beyond the era of single-technology investment funds. Instead of financing isolated generation assets, the firm now builds integrated, multi-technology platforms designed to solve specific customer problems. The objective is no longer simply to inject generic electrons into the grid, but to work backwards from the needs of large electricity consumers—particularly hyperscale datacenter operators—and develop bespoke energy solutions around them.  This philosophy is illustrated by Rowan, Quinbrook's datacenter development platform, which attracted a $1 billion co-investment from Blackstone. As hyperscalers race to deploy new computing capacity, speed has become the defining constraint. Waiting for the grid is no longer an option, making "bring your own power" an increasingly compelling proposition.  The conversation also explores how advances in software and long-duration energy storage are improving behind-the-meter performance, allowing energy infrastructure to become more resilient, flexible, and economically attractive.  Ultimately, David argues that we are witnessing a profound shift in thinking. In a world increasingly captivated by virtual technologies and digital intelligence, the greatest opportunities may lie in investing in the physical infrastructure that makes them all possible.“Let's get Physical”  

A man who has feared death every day of his life wakes among strangers who cannot die — and finds that to them, he is something called an “atavus” — drawn by lot into what they have waited five hundred years to do.Look for this podcast on Apple Podcasts, Spotify, iHeart Radio, Amazon Music, Pandora, TuneIn Radio, and other podcast apps. Get a list of free listening apps here: https://weirddarkness.tiny.us/OTRCHAPTERS & TIME STAMPS (All Times Approximate)…00:00:00.000 = Show Open00:01:30.028 = CBS Radio Mystery Theater, “Wise Child” (March 24, 1978) ***WD00:45:57.515 = Arch Oboler's Plays, “Immortal Gentleman” (June 17, 1939) ***WD01:14:01.420 = Barry Craig, “Corpse On Delivery” (November 31, 1951)01:41:53.419 = BBC Radio 4/Radio 7, “Mortmain” (April 22, 1992)02:26:10.177 = Night Beat, “Lost Souls” (November 16, 1951) ***WD02:55:47.576 = Beyond The Green Door, “Mk. Arkady Bradian, Bolder and TNT” (1966)02:58:57.644 = Man In Black (The Black Book), “The Price of the Head” (February 02, 1952) ***WD03:13:42.390 = Blackstone The Magic Detective, “The Ghost That Wasn't” (November 28, 1948) ***WD03:26:24.838 = Box 13, “The Professor And The Puzzle” (January 09, 1949)03:52:53.344 = Calling All Cars, “The Human Bomb” (December 20, 1933) ***WD04:22:42.424 = Casey Crime Photographer, “A Tooth For a Tooth” (July 15, 1946) ***WD04:48:33.183 = Show Close(ADU) = Air Date Unknown(LQ) = Low Quality***WD = Remastered, edited, or cleaned up by Weird Darkness to make the episode more listenable. Audio may not be pristine, but it will be better than the original file which may have been unusable or more difficult to hear without editing.CUSTOM WEBPAGE: https://weirddarkness.com/WDRR0713Weird Darkness presents Retro Radio: Old Time Radio in the Dark, a collection of vintage broadcasts spanning psychological horror, hard-boiled detective work, ghost stories, and the strange corners where the two overlap.It opens with the CBS Radio Mystery Theater and E.G. Marshall's presentation of "Wise Child," written by Sam Dann and starring Ralph Bell. Joyce and Calvin Spurlock argue their way off a turnpike into a storm near a place called Kiowa Flats, sleep the night in their stalled car, and wake to find a newborn baby lying naked on a hillside — alive, unharmed, and abandoned. Joyce insists the child is a miracle and claims him as her own, inventing a birth story to secure a certificate. Calvin Junior never grows, not an ounce, not a fraction of an inch, while doctors find him perfectly healthy. Then a newspaper report reveals that the wilderness north of Kiowa Flats had been used as a secret dumping ground for atomic waste — and Calvin begins to sense something in the air, a force, a light, a power that lets him read the minds of his boss, his sister, and his customers, reshaping his entire life around whatever entered that child during the storm.From there, Arch Oboler's "Immortal Gentleman" arrives with Edmund O'Brien and Anne Shepherd, in which a man terrified of death his entire life screams aloud in a crowded auditorium and then explains why to the woman beside him. Sitting through a political speech, he found himself displaced into a future where science has abolished death entirely — a world of young people conditioned for fifty years, filled with all human knowledge, living two hundred, three hundred, five hundred years with nothing to do because "the old ones" never die and never surrender their positions. They call him an atavus, a throwback that surfaces once in every two thousand embryos. Twenty-four of them draw lots in a darkened room, and he is handed a black box and told to throw it at a woman who has lived five thousand years.Next, William Gargan stars as Barry Craig, confidential investigator, in "Corpse On Delivery." Bail bondsman Sam Solloway hires Craig to find Joey Florio, a racketeer who jumped a fifty-thousand-dollar bond, and offers ten percent to get him back. A merchant seaman named Stacy Crocker is stabbed four separate times outside Craig's office door before he can deliver whatever he came to sell. A blonde in ballerina sweaters frisks the corpse for its papers, a rifle shot grazes Craig's skull along West Street, and monogrammed pillows in a room at the Hotel Mohansic spell out the answer in two letters.The episode continues with John Metcalfe's "Mortmain," dramatized for radio by Rebecca Wilmshurst, set in the south of England before the war. Salome Clare marries Humphrey Ramsden Child, a man obsessed with moths, boats, and his dead mother Harriet, who vows at the altar that marriage binds souls beyond death throughout eternity. At an anniversary dinner deliberately set for thirteen guests aboard his houseboat, a woman is attacked by a swarm of moths in an upstairs bathroom, and a decomposing dog is dragged from the linen closet. Humphrey is committed as criminally insane, dresses in his mother's clothing, and promises from inside a straitjacket that death shall not part them. After his death, Salome marries John Temple — and on their honeymoon, a rotting pink boat begins rising out of the water behind them.Frank Lovejoy follows as Randy Stone in "Lost Souls," walking South State Street on Chicago's Skid Row, where a woman named Ruth Martin has spent eight hundred dollars buying steaks, clean sheets, and champagne for every derelict on the block. She refuses to answer a ringing telephone. Her purse holds a hotel key and a brand-new loaded .32. Twenty years earlier, watching police drag a screaming thirty-year-old woman into a wagon, Ruth made her friend Vivian Clark promise to kill her if she ever turned out the same way. Vivian Clark died at eleven years old — and every night for three weeks, the phone has rung wherever Ruth runs, from St. Louis to Kansas City to Duluth to Chicago.Basil Rathbone then delivers a short piece from Beyond the Green Door about a magician turned bank robber who kills two guards in Croesus, Maine, and hides in an abandoned granite quarry by disguising himself as a boulder — until a truck from the Eastern Maine Gravel Corporation pulls in to set the dynamite charges. The Man in Black, starring Paul Frees, presents John Russell's South Seas story "The Price of the Head," in which Christopher Pellet, a red-whiskered drunk with a bad name in the islands, murders a bartender at Fufuti and is saved by a Bougainville native named Karaki, who steals a canoe, sails eight hundred miles, nurses him through withdrawal, kills two white men in a cutter, gives him the last of the water, and combs his red hair and whiskers twice every day.Blackstone the Magic Detective investigates "The Ghost That Wasn't" at the Weldon mansion, where Mortimer Weldon's brother Clarence accepted a dare to spend the night in the tower room and was found in the courtyard with a broken neck behind a door locked from the inside — and where a grandfather clock that has always kept excellent time is suddenly two minutes slow. Alan Ladd stars as Dan Holliday in "The Professor And The Puzzle," a Box 13 adventure in which a college crystallographer named Martin Gardner is found shot through the heart with his own gun, his niece abruptly breaks her engagement to marry her uncle's lab assistant Ed Macklin, and Macklin turns up stabbed with his own knife. Registered mail receipts and a bank book under the name Samuel Stoner lead Holliday to an office building and a case of illicit diamond cutting.Calling All Cars reaches back into the records for "The Human Bomb," the true story of Carl Weiss, who walked into police headquarters wearing a sheepskin hood, green goggles, and a soldier's campaign hat, carrying a blood-red box packed with sixty-six sticks of dynamite and holding a spring-loaded trigger that would fire the moment he let go. He demanded to see Paul Shoup, president of the Pacific Electric Railway, and threatened to level the building unless the railroad workers got a raise. Two hundred and sixty prisoners were evacuated by streetcar while Chief Sebastian stalled him, and Officer Sam Brown eventually thrust his bare hand through the glass top of the box to smother the lit fuse.The episode closes with Staats Cotsworth as Casey, Crime Photographer, in "A Tooth For a Tooth" by Charles Holden. Rewrite man Henry Brower confesses a premonition of his own death and admits that a man named Renat — no licensed dentist, but a self-described research scientist on River Road — filled his teeth for free to test a new metal. Brower vanishes that night, and Lieutenant Logan writes him off as a debtor who skipped town. Casey recognizes the shape of a Colorado cattleman's case from 1931, and a bartender's habit of spelling words backward hands him the name he needs.

Story of the Week (DR):Social Media's 'Big Tobacco Moment': Meta Faces $1.4 Trillion Fine for Allegedly Fueling Teen Suicide and AddictionMeta is being sued by 33 US states, led by California, Colorado, Kentucky, and New Jersey.12 blue/12 red/9 purpleThe states allege that Meta deliberately designed Facebook and Instagram to be addictive to children and teens, fueling a youth mental health crisis (including anxiety, depression, self-harm, and suicide).They also accuse Meta of violating child privacy laws by collecting data from children under 13 without parental consent.Meta warned a federal court that it could face up to $1.4T in penalties if the states prevail at the upcoming trial (set for August 18, 2026). Meta extrapolated this massive figure—which is roughly equivalent to the company's entire stock market value—based on the methodology proposed by the lead states for calculating damages.Meta calls the penalty "outlandish" and "unsubstantiated," arguing it has no precedent in consumer protection history: 'A sanction of that size has no analog in the history of consumer protection enforcement.' The company accuses the states of improperly multiplying penalties (e.g., stacking fines based on daily usage time). Meta denies the allegations, asserting its platforms have extensive safety tools and that the claims are unmoored from actual unfair practices.‘I Don't Think I'm Ever Going to Stop,' Says Mark Zuckerberg. Even With 'Infinite Money,' He Has No Plans to Retreat to His Massive Hawaii EstateMeta found to breach EU laws with 'addictive' Instagram, Facebook designsInstagram and Facebook's “addictive” designs have put Meta in breach of the European Union's digital laws, the EU concluded Friday in a preliminary report.The tech giant violated the EU's Digital Services Act by failing to adequately consider the risks associated with design features that affected the physical well-being of its users, including minors and vulnerable adults, the European Commission said.These features include infinite scroll, which constantly shows fresh content, autoplay, push notifications and highly personalized recommendation systems — feeding users' compulsion to continue using platforms and putting them into “autopilot mode.”The EU Commission also accused Meta of ignoring available information about how much time young people are spending on Instagram or Facebook at night, and how different types of content formats, from reels to stories, could lead to excessive use of its services.Meta said, “We disagree with these preliminary findings.”New Zealand Moves To Ban Climate Change Litigation. Will The U.S. Follow?New Zealand has proposed a bill to limit the ability of individuals to sue high greenhouse gas emitters over the impacts of climate change, relying instead on the enforcement measures taken by the government. The bill appears poised to pass.The women who wouldn't let climate data disappear MMAfter losing their jobs at National Oceanic and Atmospheric Administration (NOAA), Rebecca Lindsey, her sister Mary and colleague Anna Eshelman teamed up to rebuild a pivotal resource the Trump administration took offlineRebecca Lindsey, a technical writer for NASA–one of 280,000 federal workers fired by Musk/Trump, joined forces with former NOAA employees Anna Eshelman, and Mary Lindsey, her older sister, to become the core team behind the deactivated site's successor, Climate.us, preserving over 15 years of key climate data and resources.Elon Musk says he always wanted his SpaceX employees to get rich — and now thousands of them are millionairesElon Musk's 'Chainsaw for Bureaucracy' Just Left an $11 Billion Budget Hole as Trump Rehires StaffThe trove features key maps, educational materials and climate indicator reports, including the now-deleted Fifth National Climate Assessment, the government's most comprehensive analysis of climate change that was at risk of being lost to the publicJersey Mike's $12 billion IPO filing reveals a $50 million payday for the founder's stepson and a $41 million jetFamily members of founder Peter Cancro were employed Jersey Mike's in various roles and received compensation in excess of $120,000 from the Company as follows for the years ended December 28, 2025 and December 31, 2024 and 2023:John Cancro, Mr. Cancro's brother, received total compensation of approximately $20,019,231, $519,231 and $500,000, respectively;Paul J. Cancro, Mr. Cancro's son, received total compensation of approximately $8,001, $216,022 and $208,023, respectively;Robert Cancro, Mr. Cancro's son, received total compensation of approximately $38,462, $1,038,462 and $1,000,000, respectively;Tatiana Cancro, Mr. Cancro's wife, received total compensation of approximately $11,538, $311,539 and $300,000, respectively;Caroline Jones, Mr. Cancro's daughter, received total compensation of approximately $38,462, $1,038,462 and $1,000,000, respectively;Alexandra Powers, Mr. Cancro's sister-in-law, received total compensation of approximately $0, $1,165,437 and $0;Daniel Powers, Mr. Cancro's brother-in-law, received total compensation of approximately $30,213,462, $1,793,952 and $0;John Tesauro Jr., Mr. Cancro's brother-in-law, received total compensation of approximately $0, $0 and $2,429,628, respectively;Phillip Sivolobov, Mr. Cancro's stepson, received total compensation of approximately $50,011,538, $311,539 and $276,923, respectively.GRAND TOTAL: $112MStepson Phillip got $51M, brother John got $21MOther Peter Cancro schwag in 2025:Got a $41 million jet and an additional fixed amount of $166,666.66 per month in light of the business expenses incurred by Mr. Cancro related to air transportation to travel from time to time for business purposes.Lease agreements valued at $1M in rent (leases go to 2030) Controlled company: Blackstone (will control more than 50% of voting power)Board: 8 directorsBlackstone:Chair Nigel Travis (also chair of Abercrombie & Fitch)David N. KestnbaumDevon L. RinkerMichael J. StaubFounder/former CEO/chair: Peter CancroCEO Charles R. MorrisonCheryl S. Miller, director on two controlled companies:Tyson FoodsOld Dominion Freight Line (Congdon brothers)Fran Horowitz, CEO of Abercrombie & Fitch (where chair serves as chair)Goodliest of the Week (MM/DR):DR: Amazon, Walmart and Other Large Employers Could Face New Costs As New Jersey Targets Companies With Medicaid Workers— Will Other States Follow?DR: UBS says rich people will be younger, female and openly queer thanks to the Great Wealth TransferMM: Meta Buried Research Linking Instagram To Teen Harm While Facing $1.4 Trillion Penalty That Could Erase Its Entire WorthMM: ESG!Madison Square Garden Kept a List of Gay CelebritiesAn internal Madison Square Garden database of VIPs labels Joe a “medium risk,” one of roughly 400 celebrities given a risk score.If you're a celebrity and you're marked with a risk score—even as a low risk—it means “you've done something in the publicity world, the social media world, that has caught the attention of the wrong people,” the source continues.The talent database also tracks some celebrities' race, gender identity, and sexual orientation; 93 entries are marked as “LGBTQIA.”MM: California vs. Elon Musk: Tesla Snubbed as New EV Incentives Boost Rivian, Lucid MM DRAssholiest of the Week (MM):Billionaire amplificationKen Griffin says everyone is misinterpreting the AI revolution — and wishes Zohran and Bernie would ‘read a damn history book for once'“[Capitalism is] the greatest success story in the history of humanity,” Griffin said, urging the self-identified socialist politicians, “whether it's Bernie Sanders, whether it's Mamdani,” to “read a damn history book for once and then tell us how to run our country.”Jeff Bezos 'Made All of Our Lives So Much Better,' Says Billionaire Investor Tim Draper"Amazon has made all of our lives so much better," Draper said.Draper said he has benefited from what Bezos has done, and that's a part of the world economy that isn't spoken about enough."Those geniuses who create this incredible world for us are benefiting all of us."40 Epstein-Tied Billionaires Have Injected $1.6B Into US Elections, Report FindsThese are the millionaires and billionaires pledging to fund Trump accountsZuckMeta AI Data Centre Contractor Triggers Biohazard Scare After Flushing Rare Bacterium Into Public SewersMeta Platforms To Build $9 Billion A.I. Data Centre In CanadaThe $145 Billion Lie? Zuckerberg's Leaked Town Hall Audio Exposes Massive AI Failures After Mass LayoffsMeta jumps into AI coding market in effort to chase Anthropic and OpenAIWhat person in their right mind would trust Zuckerberg with their coding?Hollywood Vs Zuckerberg: CAA Warns Meta's AI Image Tool Needs A Major Privacy Overhaul‘I Don't Think I'm Ever Going to Stop,' Says Mark Zuckerberg. Even With 'Infinite Money,' He Has No Plans to Retreat to His Massive Hawaii EstateJeff Sonnenfeld - DRIn defense of Musk, SpaceX, and dual class shares“the rigid formulas of proxy advisors create a perverse, socially destructive incentive: hoard your wealth like an oligarch to maintain your good governance rating, or give it away and risk losing your company”“The proxy advisors want a world governed by rigid mathematical formulas because auditing a checklist is easy. Evaluating human character, industry dynamics, track records of success and failure, and the capacity for visionary leadership is hard. But it is exactly that hard work of judgment which is vital. When it comes to dual-class shares, it is time for the critics to step out of the theoretical vacuum and look at the real-world scoreboards”Headliniest of the WeekDR: OpenAI Wants a $1 Trillion Valuation. But College Students Are Testing At The Level Of 10-Year-Olds AND Suspecting AI cheating, Ivy League prof ordered an in-person final; scores fell 50%MM: ‘Waymo Takes Revenge, Dropping Drunk Teens Directly Into Squad of CopsMM: West Virginia spent $3M to create university program to fight ‘woke ideology.' One student is enrolledWho Won the Week?DR: Free Float's new platformAnd blowhard Jeffrey Sonnenfeld for arguing that dualclass owners are necessary because the dualclass mechanism allows them to sell shares and maintain voting power so they can “cure diseases, endow universities, and combat poverty” MM: Free Float data: Elon Musk and the age of the corporate leviathanAbove a certain size the ordinary rules of governance apparently cease to apply.Of the 16 listed firms worth more than $1trn, seven are shareholder fundamentalists.None has an elaborate statement of corporate purpose, since they are mostly content making heaps of moneyFree Float says Nvidia, Amazon, Broadcom, Micron are all TOTALITARIANNext are the corporate paternalists, who believe that the problem with shareholder democracy is that its voters do not know what is best for them.Free Float says Berkshire, Google, Meta are all TOTALITARIANThe final clan presents the strongest argument against the end of corporate history: individual shareholders consent to hand over all of their rights to the world's richest man, who then governs as he sees fit.Free Float says SpaceX, Tesla are TOTALITARIANBasically, it's nice of the economist to recognize everything Free Float says every weekPredictionsDR: Jeff Sonnenfeld writes something on Fortune that triggers meMM: Jeff Sonnenfeld writes something on Fortune that triggers Damion

Jenna Lyons and Jonny Bauer of Fundamentalco, the creative agency spun out of Blackstone, join Lauren for a deep dive into what it actually takes to build a great brand. They get into the importance of authenticity, the impact of A.I. on the creative industry, and why having clear brand values is more essential than ever. They also weigh the very different challenges facing established versus emerging brands as the fashion landscape keeps shifting.

In this episode, Chris, Andrew, and David kick things off with a very Remote Ruby style detour through Costco, Blue Apron, leftovers, Blackstone grills, and cast iron pans. Then, Andrew explains his Stripe subscription migration scare and major GitHub Actions workflow improvements that sped up Podia's CI by 20–30%. They dive into Apple's new on-device AI tooling, container alternatives on macOS, and the state of conferences, GitHub, AI infrastructure costs, solar power, and even crows attacking solar panels. Hit download now to hear more! LinksJudoscale- Remote Ruby listener giftBlue Apron  (Andrew's referral code: ANDREW4838)GitHub Blog: Actions steps can now be run in parallelCodebergGitLabGitHub apple/containerGitHub apple/Core AI ModelsRubyConf July 14-16, 2026, Las Vegas, NV Rails World 2026, September 23-23, 2026, Austin, TXHoneybadgerHoneybadger is an application health monitoring tool built by developers for developers.JudoscaleMake your deployments bulletproof with autoscaling that just works.Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.Chris Oliver X/TwitterAndrew Mason X/TwitterJason Charnes X/Twitter

In this episode of Investor Connect, Hall welcomes by Laura Hilty, Principal at HealthX Ventures and Chief Strategy Officer at Ignite Data, to discuss her path from Epic to building and launching seven software products at a clinical research startup, supporting acquisitions, and ultimately seeing the business sold to Blackstone for $5B—before moving into early-stage health tech investing. Laura shares how digital health opportunities are shifting as Epic expands into AI, creating new investment risk and pushing startups toward deep niches and tech-enabled services Epic won't replicate, like devices or clinician staffing. We also cover the FDA's push toward real-time clinical trials and questions around participant-level data, plus innovations addressing clinician shortages through automation and peer support, including Sober Sidekick's relapse prediction. Laura closes with advice on proving product-market fit before VC, defining moats in an AI-driven world, and avoiding overly frothy early valuations. Visit HealthX Ventures at www.healthxventures.com/ Reach out to at www.linkedin.com/in/laura-hilty001/ ________________________________________________________________________ For more episodes from Investor Connect, please visit the site at: http://investorconnect.org Check out our other podcasts here: https://investorconnect.org/ For Investors check out: https://tencapital.group/investor-landing/ For Startups check out: https://tencapital.group/company-landing/ For eGuides check out: https:/_/tencapital.group/education/ For upcoming Events, check out https://tencapital.group/events/ For Feedback please contact info@tencapital.group Please follow, share, and leave a review. Music courtesy of Bensound.

On this episode of Run the Numbers, CJ breaks down Jersey Mike's S-1 and the franchise machine behind more than $4 billion in sandwich sales. He explains how an asset-light royalty model works, why franchise economics can be so powerful, what Blackstone saw in the business, and what the filing reveals about growth, margins, and the real money behind the subs.—SPONSORS:RightRev is an automated revenue recognition platform that lets your product team ship new pricing without asking finance for permission, and your sales team close deals without creating downstream chaos. Check out their free tool at calculator.rightrev.com It scores your rev rec process, shows what's exposing you to risk, and tells you exactly where to focus before it bites you in the rear end. Check it out at https://calculator.rightrev.comPulley is an equity management platform that lets you issue options, model dilution, and complete 409As without your cap table turning into a spreadsheet disaster. Founders raising, hiring, and scaling use Pulley to keep equity clean and stay focused on building. Learn more or request a demo at https://pulley.com/mostlymetricsRillet is an AI-native ERP built for modern finance teams that want to replace NetSuite and close faster. With revenue recognition, close management, multi-entity support, and native Stripe and Salesforce integrations, Rillet helps scaling companies run their finance stack in one place. Hundreds of teams, including Windsurf and Mercor, use Rillet to make the zero-day close real. Book a demo at https://www.rillet.com/cjMaximor is an autonomous finance platform that runs order-to-cash, procure-to-pay, the close, cash management, and reporting on self-learning agents instead of a dozen disconnected tools. One PE-backed customer cut their close in half, took audit findings from seven to zero, and cut back-office costs by 70% in six months. You pay for outcomes, not seats. See it at https://www.maximor.ai/Brex is an intelligent finance platform with AI-powered agents that capture expenses automatically, enforce policy before the spend happens, and close your books in minutes instead of weeks. 35,000+ companies like OpenAI, Coinbase, Anthropic, and DoorDash already run on Brex. It's time to get Brex AF. Learn more at https://www.brex.com/metricsAnrok is the sales tax platform that watches your exposure everywhere, automates compliance, and flags risk before it turns into a surprise back-tax letter from a state you've never set foot in. Companies like Anthropic, Notion, and Vanta already trust Anrok to stay ahead of rules that move faster than any spreadsheet can. Talk to a sales tax expert for a personalized exposure estimate at https://www.anrok.com/rtn—LINKS: Mostly Talent: https://mostlymetrics.typeform.com/to/cLTxtAsNCJ: https://www.linkedin.com/in/cj-gustafson-13140948/Mostly metrics: https://www.mostlymetrics.com—TIMESTAMPS:0:00 Sell $4B in subs, own none of the stores0:33 Origin story: Peter Cancro buys a sub shop at 171:47 It's a royalty business2:42 Key metrics6:07 What you're actually buying6:42 The three revenue streams7:19 The franchisee's P&L10:00 Sponsors — RightRev | Pulley | Rillet13:02 Corporate P&L: 47% EBITDA margins13:33 The Blackstone math14:38 $2.1B whole business securitization15:09 Full EBITDA bridge16:00 The CEO buying back the 2%17:10 Red flag 1: Up-C structure18:11 Red flag 2: tax receivable agreement18:45 Red flag 3: controlled company governance19:05 Red flag 4: sponsor already took $500M19:29 Red flag 5: charitable donations added back20:13 Red flag 6: cheap debt maturing in 202920:52 Sponsors — Maximor | Brex | Anrok23:56 Valuation: $10–12B24:32 Peer comparison25:27 How do you underwrite $12B?25:58 Misc: quantum attack on the provolone26:28 The hidden 53rd week26:57 No drive-thru is a feature27:13 Verdict27:56 Credits#RunTheNumbersPodcast #IPO #Investing #BusinessStrategy #FinanceLeadership

Welcome back to the Alt Goes Mainstream podcast.Today's podcast takes us to the heart of Mayfair in London, where Blackstone Private Wealth COO Farhad Karim shared the firm's history and evolution in Europe. He took a walk down memory lane to discuss the firm's 25th anniversary in Europe as we walked through Berkeley Square from Blackstone's current office to their new office at the other end of the square, highlighting how the firm has become the largest owner of commercial real estate in Europe and the importance of building a local presence in the region.Farhad took on the role of Chief Operating Officer of Blackstone Private Wealth in 2024 after a career at Blackstone that included serving as Chairman and Chief Operating Officer of Blackstone Europe and holding a senior leadership role in the firm's Real Estate business.Farhad and I had a fascinating discussion about the evolution of Blackstone's business in Europe and the firm's Private Wealth business globally. We covered:Why it's important to “meet people where they are at.”What Farhad learned from his experience as chairman of Blackstone Europe.Building and expanding Blackstone's Private Wealth business.How Blackstone will continue to be a pioneer in private wealth.The next phase of product innovation in the wealth channel.How an international perspective has shaped Farhad's approach to building the Private Wealth business.Harmonizing the institutional and private wealth businesses when delivering solutions to LPs.The human element of working with wealth.What it means to be “relentless.”Perspectives on evergreen funds.The scale of opportunity, information, and access.Thanks, Farhad, for sharing your wisdom, expertise, and passion about private markets and private wealth.Show Notes00:33 A Message from Our Sponsor, Ultimus Fund Solutions02:14 Farhad's Blackstone Journey03:37 Speed and Certainty Culture04:07 Real Estate to Wealth Channel Parallels05:04 Building for Local Markets06:16 On-the-Ground Coverage Worldwide07:45 Education at Scale08:52 How Well Advisors Understand Private Markets10:45 Early Innings Adoption12:09 Packaging Private Markets Products13:46 Simplicity vs Customization14:39 Consolidation and Institutionalization19:14 Global Trends Localization19:33 Scale and Deal Competition20:11 AI Advantage in Investing20:53 Portfolio Ops AI Playbook21:42 Private Markets Risk Setup22:17 Noise Versus Facts22:57 Fighting False Narratives23:42 Wealth Channel Narrative24:18 Why Private Markets Matter25:10 Investing Through Geopolitics26:25 Evergreen Versus Drawdown27:21 Discipline Over Structure28:28 Semi-liquid as a Feature29:17 Evergreen for Founders30:39 Evergreen Mindset and Compounding32:01 Owning the Narrative Direct35:22 Fiduciary Seriousness Balance36:15 Relentless Culture Explained38:39 Closing Footnotes(Timestamp 02:46.7): Largest owners of commercial real estate in Europe.(Timestamp 31:33.0): Reference to Class I annualized, inception-to-date return from January 2017.A Word from Our Sponsor, UltimusThis episode of Alt Goes Mainstream is brought to you by Ultimus, the full-service fund administrator and transfer agent powering asset managers in private and public markets. As alts go mainstream, you need real expertise to handle complex fund structures, connect with key distribution partners, and handle sophisticated compliance, reporting, and transparency demands.That's Ultimus: high-tech, high-touch solutions for over 450 clients and 2,500 funds with $775B in assets under administration. Backed by an expert team of over 1,200 employees, they place client service at the core of their business, helping you navigate complexity during your fund structuring or launch and then supporting you through every stage of growth. Whether you're already in the market or thinking about entering private wealth, you can trust their team's deep expertise in retail alternatives to help you reach your goals.Learn more at ultimusfundsolutions.com or email info@ultimusfundsolutions.com.We thank Ultimus for their support of alts going mainstream.

The 4th of July is behind us, and so is USA soccer after losing to Belgium in the World Cup. Will soccer ever truly take off in the US? We recap our holiday weekends, give thoughts on the Tigers turning things around, some NBA offseason news, and more! Also, author of 'Midnight on the Potomac' Scott Ellsworth joins us to talk about a local event he has coming up, his writing process, a little US history, and more! Check out his books, take a listen to the pod, and hit us up @3pointpod! Thanks to: Memorial Healthcare Wellness Center, Blackstone's Public House, Nelson House Funeral Home, Success Group Mortgage & Servicing, Kori Shook & Associates, Jacobs Insurance, AZee Branding Solutions, Pickpocket Sports & Outdoors, Lebowsky Center, Marrs Furniture & Mattress Barn, Shiawassee County Fair, Nichols Painting, Great Lakes Apparel Co., SportsNet MI

What's That Sound Wednesday, Radar tests out his new Blackstone, Elizabeth and Radar are going to battle it out!?!?, and TR - She's pregnant... but is it mine?!?! Listen to Elizabeth & Radar on The Mix LIVE weekdays from 6am to 10am!

Bloomberg reports that Jersey Mike's Subs, backed by Blackstone, filed for a US IPO as listings increase. The filing is expected to detail systemwide sales, same-store sales, unit growth, ownership stakes, and planned use of proceeds. Founder and CEO Peter Cancro's long leadership and the franchise-led model frame the investment case. Investors will compare the company with recent listings like Cava and with established franchisors such as Domino's and Yum Brands. Risks include input costs, labor pressures, delivery fees, and competition from chains including Subway, Firehouse Subs, Jimmy John's, and Potbelly. Key next steps are SEC review, the roadshow, and valuation discussions that will guide other sponsor-backed consumer brands contemplating offerings.Learn more on this news by visiting us at: https://greyjournal.net/news/ Hosted on Acast. See acast.com/privacy for more information.

Malevolent is a thrilling eldrich horror, mystery audio drama brilliantly combined with elements of choose your own adventure and actual play via their Patreon. This is the first episode of Malevolent's second series Threshold, which follows John and Arthur as they return to Arkham after their time seeking the BLACKSTONE and face the new and terrible truth this world has revealed to them. Faced with the new challenges before them and old foes perhaps still a threat, the duo must carve a new path in this strange world.Malevolent is from Harlan Guthrie, the same talented creator behind Deviser and Dice Shame.Introduction and outro by Shahan HamzaListen to Malevolent on The Rusty Quill website, on Acast, or listen wherever you get your podcasts, or to learn more about Malevolent check out its official website.Support Malevolent and be a part of the story now at: https://www.patreon.com/TheINVICTUSStream Credits:Written and performed by Harlan Guthrie Featuring Jo Guthrie as “Faroe”Content warnings: BlindnessMind ControlGraphic ViolenceMurder RitualsHuman remainsShootingMemory LossEldritch Horror SFX Guns and Gunfire, Thunder, DrippingFor ad-free episodes, bonus content and more, join members.rustyquill.com or our Patreon.Pre-order FROM THE LIBRARY OF JURGEN LEITNER, a Magnus novel releasing October 27th: rustyquill.com/novel Hosted on Acast. See acast.com/privacy for more information.

“Crazy Town”: Two bomber pilots who rain death on defenseless villages crash behind the walls of a hidden asylum, where a soft-spoken madman insists they've finally come home to the only community where killers like them belong.Look for this podcast on Apple Podcasts, Spotify, iHeart Radio, Amazon Music, Pandora, TuneIn Radio, and other podcast apps. Get a list of free listening apps here: https://weirddarkness.tiny.us/OTRCHAPTERS & TIME STAMPS (All Times Approximate)…00:00:00.000 = Show Open00:01:30.028 = The CBS Radio Mystery Theater, “The Assassin” (March 03, 1978) ***WD00:46:37.892 = Strange Adventure, “The Wind Wagon” (1945) ***WD00:49:51.994 = Arch Oboler's Plays, “Crazy Town” (May 20, 1939) ***WD01:17:18.050 = Barrie Craig, “Microfilm in the Fishtank” (October 24, 1951) ***WD01:46:38.936 = BBC Radio 4/Radio7 GhostStory, “Lifeline” (2006) ***WD02:15:47.965 = Night Beat, “Mr. And Mrs. Carothers” (October 26, 1951) ***WD02:45:58.499 = Beyond The Green Door, “John Otis-Mr. Dunn, Disposer” (1966) ***WD02:49:49.627 = The Black Book, “Vagabond Murder” (March 02, 1952) ***WD03:04:18.025 = Blackstone, “Ghost That Trapped a Killer” (October 03, 1948) ***WD (LQ)03:16:00.352 = Box 13, “The Better Man” (January 02, 1949)03:43:04.360 = Calling All Cars, “York Gang Holdup” (December 13, 1933) ***WD04:11:50.697 = Casey Crime Photographer, “Reunion” (June 03, 1946) ***WD04:35:49.460 = CBC Mystery Theater, “The Dream Woman” (May 01, 1968)05:04:49.273 = Show Close(ADU) = Air Date Unknown(LQ) = Low Quality***WD = Remastered, edited, or cleaned up by Weird Darkness to make the episode more listenable. Audio may not be pristine, but it will be better than the original file which may have been unusable or more difficult to hear without editing.CUSTOM WEBPAGE: https://weirddarkness.com/WDRR0703

(June 30, 2026 - Hour Two)On the show tonight (All Times Eastern):9:14pm & 9:35pm - Grant Pinkerton - Pinkerton's Barbecue10:14pm & 10:35pm - OpenAll this plus a new "Would You Rather" YouTube Poll Question of the week and results from last week's poll.The BBQ Central Show SponsorsPrimo GrillsFireboardMicallef Cigars – Premium Hand Rolled Cigars

It's tough to compete with Supergoop, the sunscreen startup that entered the market in 2006 and quickly became the industry darling before selling to private equity firm Blackstone in 2021. In many ways, the company created the modern sunscreen playbook by marketing it as skin care, not sun care.  “[Supergoop started] with the mission of really transforming the SPF category, so that people wouldn't think of it as a seasonal thing,” Lauren Weinberg, chief marketing officer of Supergoop, told Glossy. “The way the brand did that was really by coming out with formulas that debunked, I would say, all the things that people didn't like about sunscreen. So, it wasn't sticky, it wasn't greasy, it didn't have an odor, and it could go as a primer underneath your makeup.”  Today, Supergoop sells one unit of its cult-favorite Unseen Sunscreen every 16 seconds, but staying on top requires constant evolution, Weinberg told Glossy. For Supergoop, this has included evolving the company's channel mix this year to better reach new and existing consumers.  “Consumers don't really think about where they see and hear about brands,” Weinberg said. “One of the things I noticed when I came [into this role in February 2026] is that the way we were storytelling as a brand, or how we were communicating with consumers, was not really cohesive across all of our channels. So we've really been trying to focus on doing cohesive storytelling.”  Small shifts this year have helped to grow sales through a more diversified channel mix. For example, Weinberg's team is focused on promoting lesser-known SKUs on evolving platforms, such as TikTokShop, while launching its best-sellers across new channels, including Target in February and Amazon Premium starting in May.  Weinberg joined Supergoop at the top of the year after more than two decades in marketing. Her CV includes six years at Yahoo, ending her tenure as VP of marketing, plus another six years at Square, where she was the global chief marketing officer. She held the role of CMO at Peloton before joining the Supergoop team five months ago.  Glossy Beauty Podcast host Lexy Lebsack sat down with Weinberg to discuss everything mentioned above, plus the challenges of tackling Amazon in-house through a Premium storefront and entering mass retail at a prestige price point, and the power of emerging social channels and social commerce.  The following conversation was recorded in front of a live audience at Glossy's annual E-Commerce Summit in Miami on June 1. 

THRESHOLD is a direct continuation of Malevolent, the Audio Drama. This Series 2 sees John and Arthur having returned to Arkham after their time seeking the BLACKSTONE and facing the new and terrible truth this world has revealed to them. Faced with the new challenges before them and old foes perhaps still a threat, the duo must carve a new path in this strange world.Featuring Jo Guthrie as "Faroe"Support Malevolent and be a part of the story now at: https://www.patreon.com/TheINVICTUSStream Hosted on Acast. See acast.com/privacy for more information.

It's 4th of July week, a big one for the USA, what's going on with the 250 celebration for the US?? NFL offseason storylines especially for the Lions, NBA trades and moves, WNBA drama, World Cup playing on, and more! Also a little Toy Story thoughts in Tedertainment Tonight. Take a listen and hit us up @3pointpod! Thanks to: Memorial Healthcare Wellness Center, Blackstone's Public House, Nelson House Funeral Home, Success Group Mortgage & Servicing, Kori Shook & Associates, Jacobs Insurance, AZee Branding Solutions, Pickpocket Sports & Outdoors, Lebowsky Center, Marrs Furniture & Mattress Barn, Shiawassee County Fair, Nichols Painting, Great Lakes Apparel Co., SportsNet MI

It's time for our annual Fourth of July grill episode here at Decoder, which is when we invite the CEOs of outdoor cooking companies onto the show to explain just how their businesses kind of look like every other business. And this is a very special edition.  Today we're talking to Roger Dahle, the CEO of Weber Blackstone, a full circle moment for Decoder. Roger was our first-ever grill CEO on the show back when he was the CEO of just Blackstone. Five years later, Roger now runs one of his biggest competitors, after Blackstone announced a merger with Weber in 2024. So we talked about that process, and how Roger is managing the integration of these two grilling giants.  Links:  Weber and Blackstone to combine | The Verge How Blackstone became the darling of grill TikTok | Decoder (2021) How arson led to a culture reboot at Traeger, with CEO Jeremy Andrus | Decoder (2022) Big Green Egg CEO Dan Gertsacov on growing kamado cooking | Decoder (2024) How SharkNinja took over the home | Decoder (2025) Subscribe to The Verge to access the ad-free version of Decoder! Credits: Decoder is a production of The Verge and part of the Vox Media Podcast Network. Decoder is produced by Kate Cox and Nick Statt. This episode was edited by Eileen Felix. Our editorial director is Kevin McShane.  The Decoder music is by Breakmaster Cylinder. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Is private credit the pin that pops the market bubble? The short answer is no—but that’s the wrong question entirely. Private credit is now a $1.8–$3.5 trillion market, rivaling the entire U.S. leveraged loan and high-yield bond markets combined. It’s direct lending, shadow banking, and middle-market finance all rolled into one, and firms like Ares, Apollo, Blackstone, Blue Owl, and Morgan Stanley are at the center of it. Business development companies (BDCs), are gating redemptions. Pension funds, insurance companies, and retail investors are all exposed. And the Financial Stability Board issued a formal warning in May 2026. So what is private credit, how did it get this big, and what does it actually mean for the broader economy if it seizes up? In this episode, Max breaks down the entire private credit ecosystem—from its origins in post-2008 regulation to the mechanics of SOFR-linked floating rate loans, PIK interest, covenant-lite structures, and the $410–$540 billion in bank lending that ties the whole system together. We look at the BDC redemption crisis of 2025 and 2026, the First Brands and TriColor fraud cases and Jamie Dimon’s cockroach comment that won’t go away. Resources J.P. Morgan: Understanding Private Credit Bloomberg Television: Why Private Credit Is Not a Financial Crisis Threat Blackstone: What’s Really Happening in Private Credit? Expert Answers CNBC Television: Inside Alts: Private credit fears resurface CNBC Television: This is the start of a big crisis for private credit, says Verdad’s Rasmussen The Federal Reserve: Bank Lending to Private Credit: Size, Characteristics, and Financial Stability Implications Federal Reserve Bank of Boston: Could the Growth of Private Credit Pose a Risk to Financial System Stability? IMF eLibrary: Chapter 2 The Rise and Risks of Private Credit in: Global Financial Stability Report, April 2024 Financial Stability Board: FSB warns on private credit vulnerabilities NAIC: How State Insurance Regulators are Responding to Growth in CLOs and Private Credit Bloomberg: Ares Private Credit Fund Caps Redemptions After 14% Seek to Exit Bloomberg: Apollo Caps Private Credit Fund After 17% Request to Exit Bloomberg: Private Credit Is Still a Hot Asset for Bond Investors Buying Debt Bloomberg: Morgan Stanley Caps Private Credit Fund After 11.6% Exit Request Bloomberg: Cliffwater Private Credit Fund Stung by 17% Redemption Requests Bloomberg: Blackstone Limits Withdrawals From $79 Billion Private Credit Fund BCRED Bloomberg: Private Credit BDC Redemptions Exceed Fundraising for First Time The Lead Left: Middle Market & Private Credit – 1/5/2026 - The Lead Left Financial Times: US debt investors raise alarm over lending standards UNFTR Resources Video: Will Private Credit’s Death Spiral Pop the Market Bubble? Essay: Is Private Credit the Pin That Pops the Bubble? UNFTR Newsletter UNFTR Progressive Trivia -- If you like #UNFTR, please leave us a rating and review on Apple Podcasts and Spotify: unftr.com/rate and follow us on Facebook, Bluesky, and Instagram at @UNFTRpod. Visit us online at unftr.com. Become a member at unftr.com/memberships. Buy yourself some Unf*cking Coffee at shop.unftr.com. Visit our bookshop.org page at bookshop.org/shop/UNFTRpod to find the full UNFTR book list, and find book recommendations from our Unf*ckers at bookshop.org/lists/unf-cker-book-recommendations. Access the UNFTR Musicless feed by following the instructions at unftr.com/accessibility.Support the show: https://www.unftr.com/membershipsSee omnystudio.com/listener for privacy information.

Send us Fan MailA 95 calorie IPA that tastes like a legit tropical beer feels like a glitch in the system, so we had to put it to the test. We're coming in with stories from Columbus, Ohio, including a stay at BrewDog's DogHouse hotel where the brewery, restaurant, and bar all live under one roof. We talk room size, the dog-friendly setup, how quiet it is at night, and why it's a sneaky-good stop if you're passing through and want a full craft beer experience without a bunch of extra driving.Then we crack BrewDog Wingman, a tropical session IPA that lands at 95 calories and around 4% ABV, and it still brings real flavor. We get into what “session IPA” should mean, why some IPAs go too piney, and how fruit-forward notes can turn an IPA skeptic into a fan. We also keep it practical: what it might cost for a pack, where you're likely to find it, and whether a lighter beer can actually become a daily drinker without feeling like you're settling.The back half shifts into weekend life: a planned 12-mile hike that gets cut short by thunderstorms and downed trees, a quick pivot to a local hole-in-the-wall, a Father's Day golf round, and a Blackstone griddle dinner that deserves a repeat. We follow it up with a North High Stick Amber review and finish with our rowdy, no-filter question game before we wrap with our ratings and one last reminder not to drink and drive. If you laughed, learned, or found a new beer to hunt down, subscribe, share the show with a friend, and leave us a review so more craft beer fans can find us.Support the showwww.anotherreasontodrink.com

00:00 Intro01:22 U.S., China Court Brazil Over Rare Earths03:34 Rubio Meets Gulf Allies to Discuss Iran Deal04:39 Trump Launches Next-Gen Quantum Computing Push06:25 Quantum Computing Could Reshape the Future06:55 Dutch Enter U.S.-Led "Pax Silica" AI Alliance07:52 Blackstone to Invest $30B in Japan AI Data Centers08:21 AI Threat to Cyber Defenses Could Come in Months09:35 Dems Receive $1M in Donations From Firms Linked to China10:36 S. Korea KOSPI Drops Nearly 10 Percent, U.S. Chips Fall11:55 One in Ten Chinese Adults Face Debt Problems12:50 Foreign Investment Into China Falls 8.6 Percent Jan.–May14:06 Taiwan's Vice President Not Afraid to Take on Beijing15:58 Netanyahu: Israel Will Stay in Lebanon as Long as Needed17:20 Hezbollah Weakens as Iran Funding Drops19:26 U.S. Urges Iran to Curb Proxy Violence

Mid-summer breaking news as Dusty May is out at Michigan and on to the NBA. Where do the Wolverines go from here, will Mike Boynton keep the program rolling, and what about the state of college sports? The Tigers are starting to win some games, but do we want that? Some ideas for the name of the Owosso - Corunna trophy, a history lesson, and more! Take a listen and hit us up @3pointpod! Thanks to: Memorial Healthcare Wellness Center, Blackstone's Public House, Nelson House Funeral Home, Success Group Mortgage & Servicing, Kori Shook & Associates, Jacobs Insurance, AZee Branding Solutions, Pickpocket Sports & Outdoors, Lebowsky Center, Marrs Furniture & Mattress Barn, Shiawassee County Fair, Nichols Painting, Great Lakes Apparel Co., SportsNet MI

The World Cup is the super bowl of male grooming… and Lionel Messi is leaning into it.Amazon Prime Day begins tomorrow… here's how to not get tricked by faux-deals.Blackstone acquired a spa in Napa Valley… because there's AI data on the massage table.Plus, dinosaur leather is here… who wants to buy the world's first T-Rex Handbag?Tryout to become the TBOY social editor for Instagram:https://app.joinroster.co/hiringchallenges/0f1390b6-2012-48a3-b75b-d11f667786ee/details Grab your Tickets to the IPO Tour: Our In-Person OfferingSan Francisco 9/23: https://www.ticketmaster.com/event/1C0064AFB5F688BDBoston 10/14: https://tickets.citywinery.com/event/tboy-the-ipo-tour-in-person-offering-8cdhupSeattle 11/4 (21+): https://www.axs.com/events/1446394/the-best-one-yet-tickets$OTLY $META $UL $BSNEWSLETTER:https://tboypod.com/newsletter OUR 2ND SHOW:Want more business storytelling from us? Check our weekly deepdive show, The Best Idea Yet: The untold origin story of the products you're obsessed with. Listen for free to The Best Idea Yet: https://wondery.com/links/the-best-idea-yet/NEW LISTENERSFill out our 2 minute survey: https://qualtricsxm88y5r986q.qualtrics.com/jfe/form/SV_dp1FDYiJgt6lHy6GET ON THE POD: Submit a shoutout or fact: https://tboypod.com/shoutouts SOCIALS:Instagram: https://www.instagram.com/tboypod TikTok: https://www.tiktok.com/@tboypodYouTube: https://www.youtube.com/@tboypod Linkedin (Nick): https://www.linkedin.com/in/nicolas-martell/Linkedin (Jack): https://www.linkedin.com/in/jack-crivici-kramer/Anything else: https://tboypod.com/ About Us: The daily pop-biz news show making today's top stories your business. Formerly known as Robinhood Snacks, The Best One Yet is hosted by Jack Crivici-Kramer & Nick Martell. Hosted on Acast. See acast.com/privacy for more information.

What does getting fired from a yogurt shop have to do with $50 billion in luxury real estate video? Everything, if you're Ori Harel. Ori Harel is the founder of Reel-E.AI and Lumara Media, the company behind some of the most iconic luxury property videos ever filmed — for clients like Blackstone, Marriott International, the Altman Brothers, and Jason Oppenheimer. But now, he's building the tool that makes professional listing videos accessible to every agent, not just the top 2%. In this episode, hosts break down: •       How Ori went from getting fired at a yogurt shop to filming $50M-$100M homes in Los Angeles •       What makes a great listing video (and what makes a terrible one) •       How Reel-E.AI turns existing listing photos into cinematic, music-synced videos automatically •       Why AI-generated music is immediately royalty-free and how to use it for your listings •       A step-by-step DIY guide: Suno or Gemini for music, VO3/Cling for photo-to-video, DaVinci Resolve or Premiere to cut to the beat •       Why AI listing videos from today already outperform Ori's own 2017 work — at 50-100x less cost •       Whether AI will eventually replace all real estate video production   Try Reel-E.AI for free (3 videos, no strings attached): https://www.reel-e.ai/ Contact Ori directly: ori@reel-e.ai

Rock and Roll that DESERVES to be heard is back with another powerhouse episode of RadioBypass!Episode 426 features outstanding new music from Tesla, Bloodstain, Wings Of Steel, Jade Elephant, Generation Radio, Night Ranger, Jared James Nichols, and Black Stone Cherry. If you're looking for the best new rock music, you've come to the right place.We also crank up incredible tracks from Kiss, Bruce Kulick, Anything But Human, Mitch Perry Group, and Queen.Plus, we take a moment to remember Walter Parazaider, founding member of Chicago, who passed away this week. His contributions helped shape one of rock's most distinctive bands, and we honor his legacy with "Once Or Twice" from the classic Chicago X album.Featured this week:Kiss – Hell Or High WaterBruce Kulick – No Friend Of MineAnything But Human – Back On My KneesTesla – Never AloneBloodstain – Annihilation LineWings Of Steel – To Die In Holy WarJade Elephant – AnymoreChicago – Once Or TwiceGeneration Radio – Here I Go AgainNight Ranger – (You Can Still) Rock In America (2026)Jared James Nichols – Let's GoBlack Stone Cherry – What You're Made OfMitch Perry Group – Soul StareQueen – Father To SonTurn it up, discover your next favorite band, and support the artists keeping Rock and Roll alive and thriving.RadioBypass — Rock and Roll That DESERVES to be heard.

Efforts to preserve Pope Leo XIV's Dolton roots are slowly inching forward. Crain's reporter Rachel Herzog discusses with host Amy Guth. Plus: Controversial Fulton Market high-rise gets City Council sign-off, CME sues CFTC as battle over perpetual futures heats up, Blackstone unit reaches $7 million settlement in RealPage price-fixing lawsuit and Fulton Market retail hub aims to give online brands IRL exposure. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Champs have been crowned in both the NHL and NBA. When will we see a Detroit squad make it back to those games? The White House hosted a UFC event over the weekend, we give a few thoughts about that event and if we think more should happen on the lawn. A local football game trophy, Tedertainment Tonight, and more! Take a listen and hit us up @3pointpod! Memorial Healthcare Wellness Center, Blackstone's Public House, Nelson House Funeral Home, Success Group Mortgage & Servicing, Kori Shook & Associates, Jacobs Insurance, AZee Branding Solutions, Pickpocket Sports & Outdoors, Lebowskey Center, Marrs Furniture & Mattress Barn, Shiawassee County Fair, Nichols Painting, Great Lakes Apparel Co., SportsNet MI

Hilary Davidson is a bestselling, award-winning novelist and journalist. She is the author of two mystery series, one featuring amateur sleuth Lily and the other featuring police detective Sheryn Sterling. She is also the author of two standalone novels, two short-story collections, a novella, and some 50 short stories, which have appeared in Ellery Queen's Mystery Magazine, Thuglit, Mystery Scene, Beat to a Pulp, and other publications. Her fiction has won two Anthony Awards and a Derringer Award, and has been translated into French, German, Hungarian, Polish, Romanian, and Russian. Her eighth novel, the standalone thriller Every Lie I Told, will be published by Blackstone in June 2026.Killer Women Podcast is copyrighted by Authors on the Air Global Radio Network#podcast #author #interview #authors #KillerWomen #KillerWomenPodcast #authorsontheair #podcast #podcaster #killerwomen #killerwomenpodcast #authors #authorsofig #authorsofinstagram #authorinterview #writingcommunity #authorsontheair #suspensebooks #authorssupportingauthors #thrillerbooks #suspense #wip #writers #writersinspiration #books #bookrecommendations #bookaddict #bookaddicted #bookaddiction #bibliophile #read #amreading #lovetoread #daniellegirard #daniellegirardbooks #hilarydavidson #blackstone

Wall Street built entire neighborhoods just to rent them. August Biniaz breaks down how and why it works.August Biniaz, Chief Investment Officer at CPI Capital, returns to break down build-to-rent (BTR): how the asset class started after the 2008 crash, why institutions like Blackstone pivoted from buying scattered homes to building purpose-built rental communities, and what that means for individual investors today.August also pulls back the curtain on how CPI Capital operates at scale, including the AI tool that cut their deal-screening time by 90 percent, and shares his read on where interest rates and the broader economy are headed going into the rest of 2026.Key topics covered:How Blackstone's Invitation Homes buying spree of 75,000 homes gave birth to BTRWhat life inside a BTR community actually looks like (HOA, amenities, maintenance)Why BTR attracts "tenants by choice" and produces lower turnover than traditional apartmentsHow CPI Capital uses Slack, Asana, HubSpot, and AI to run a private equity real estate firmThe 10-year treasury, the war in Iran, and what August thinks happens to rates nextAugust Biniaz is the Chief Investment Officer of CPI Capital, a private equity real estate firm focused on US multifamily and build-to-rent assets with investors in both Canada and the United States.Learn more at https://cpicapital.comWork With RealDealCrewIf you're already closing deals but your intake, follow-up, or visibility feels inconsistent, here are two ways to go deeper:Take the Deal Intake AssessmentSee how resilient your current operation actually is.→ https://assessment.realdealcrew.comBook a Fit CallIf you want to explore what a fully system-driven deal flow looks like, let's talk.→ https://realdealcrew.com/bookLIKE • SHARE • JOIN • REVIEWWebsiteApple PodcastsYouTubeYouTube MusicSpotifyAmazon MusicFacebookTwitterInstagram

Grant Cardone, Founder and CEO of Cardone Capital, joined us to discuss his firm pairing Bitcoin with real estate investments, offering investors unique exposure to both asset classes.Topics:- Bitcoin & Real Estate investment portfolio - Future of Bitcoin - Tokenization of Real Estate - Michael Saylor Strategy Selling Bitcoin.Brought to you by

Plus: Anthropic releases new ‘Mythos-class' AI model to general public with safety guardrails. And Broadcom, Apollo, and Blackstone partner to launch AI infrastructure platform. Julie Chang hosts. Learn more about your ad choices. Visit megaphone.fm/adchoices

Plus: Chip maker Broadcom is working with the private equity companies Apollo Global Management and Blackstone to launch a 35-billion-dollar AI financing platform. And a U.S. military drone boat has rescued two crew members of an American Apache helicopter that crashed near the Strait of Hormuz. Anthony Bansie hosts. Sign up for WSJ's free What's News newsletter. An artificial-intelligence tool assisted in the making of this episode by creating summaries that were based on Wall Street Journal reporting and reviewed and adapted by an editor. Learn more about your ad choices. Visit megaphone.fm/adchoices

Keith talks with data-driven investor Neal Bawa, the "mad scientist of multifamily," about why apartment values have dropped 20%–30% while single-family prices have stayed resilient.  They break down how interest rate shocks, the homeowner lock-in effect, and a wave of new multifamily supply are reshaping returns for today's investors.  Keith and Neal also dissect the build-to-rent model—who it really serves, how apartment oversupply is pressuring its rents, and why pending legislation could upend the space.  Neal closes with a specific, data-backed timeline for when multifamily rents and values may finally turn the corner, giving listeners a concrete roadmap instead of vague market guesses. Resources: Grocapitus Website - https://www.grocapitus.com Multifamily U's Free eBook: Location Magic - https://multifamilyu.com/lp/location-magic-ebook/ Multifamily U's Investor Club – https://multifamilyu.com/club Episode Page: GetRichEducation.com/609 For access to properties or free help with a GRE Investment Coach, start here: GREmarketplace.com GRE Free Investment Coaching: GREinvestmentcoach.com Get mortgage loans for investment property: RidgeLendingGroup.com or call 855-74-RIDGE  or e-mail: info@RidgeLendingGroup.com Invest with Freedom Family Investments.  For predictable 10-12% quarterly returns, visit FreedomFamilyInvestments.com/GRE or text  FAMILY to 66866  Unlock truly passive real estate income—visit flockhomes.com/GRE today to see if your properties qualify for a 721 exchange with Flock Homes. To get in the best physical, mental, and professional shape of your life, go to DanielThomasHind.com and apply for Daniel's intensive 1-on-1 coaching for burnt-out entrepreneurs and executives. Will you please leave a review for the show? I'd be grateful. Search "how to leave an Apple Podcasts review"  For advertising inquiries, visit: GetRichEducation.com/ad Best Financial Education: GetRichEducation.com Get our wealth-building newsletter free— GREletter.com  Our YouTube Channel: www.youtube.com/c/GetRichEducation Follow us on Instagram: @getricheducation Complete episode transcript:   Keith Weinhold  0:00   Keith, welcome to GRE. I'm your host, Keith Weinhold. The single-family real estate market is steady, but with apartment building values down 20 to 30% since 2022 when will the multifamily Armageddon end? We ask our qualified guest, and how will slowing birth rates in immigration affect real estate? And more today on Get Rich Education. You know, Mid South Home Buyers, that top Memphis turnkey provider. I learned that a secret weapon behind their explosive growth is more than just you buying their properties, it's an executive coach for nine years now, their CEO, Terry Kerr, and his COO, Pat Nix, have worked privately with a coach who I've now learned from too, and he doesn't market himself online anywhere. After 12 years behind the scenes, that coach is now making himself available exclusively for GRE listeners. His name is Daniel Thomas Hind. If you're a hard-charging business owner or investor who wants to get in the best shape of your life, physically, mentally, and professionally, you can fill out an application for a free consult. This is private one on one coaching for those willing to go to uncommon lengths to achieve uncommon results. Thanks to Daniel, we've all become better leaders, better operators, and better men. It started by showing up for ourselves. Now it's your turn. Go to Daniel Thomas hind.com H I N D, that's Daniel Thomas hind.com and sign up before Spotsville Flock homes helps multifamily owners exit the operator grind, whether it's your six plex or a 50 unit apartment, through a 721 exchange. This defers your capital gains tax. It's a strategy long used by institutions. Now you can swap tenants and toilets for passive income and zero management. Request your initial valuations. See if your property qualifies at flockhomes.com/gre That's F L O C K homes dot com slash G R E.   Neal Bawa  2:13   You're listening to the show that has created more financial freedom than nearly any show in the world. This is Get Rich Education.   Keith Weinhold  2:29   Welcome to GRE from Valencia, Spain to Valencia, California, and across 188 nations worldwide. America's favorite shaved mammal on a microphone is back with you for another wealth building week. I'm Keith Weinhold, and you're listening to Get Rich Education. The world's biggest problems are the world's biggest businesses. That's not a coincidence, and that's why we discuss housing here. And there's been a chronic shortage of affordable housing last month at a commencement speech, Harrison Ford, yes, the guy that played both Han Solo and Indiana Jones, talked about how a fulfilling life has both passion and purpose. Passion is what gets you out of bed in the morning, purpose is what helps you sleep at night, you and I. We can bring this mindset to our lifestyle, to the business we do, and to our investing. Treating tenants well is what helps real estate investors sleep well at night. While we're doing well, we can be doing good too. Multifamily syndicators keep failing, going out of business, and losing all of their investors' money due to mortgage rate resets. It just keeps happening. What this really means, that these groups that pooled together investor money to buy apartment buildings, largely that were set up in 2022 and earlier keep blowing up almost fully due to the fact that interest rates reset higher. Some of them had a fixed rate for five years. Well, rates spiked four years ago, and that's why a lot of them have yet to blow up, and these apartments have lost so much value that no one will refinance them, you know. Even if that apartment operator increased the net operating income over the years, even if rents went up, it doesn't matter. So, you still haven't heard the last of it. Do you remember a couple years ago, when a lot of people in the apartment space, they were saying just stay alive till 25 and that nonsense, like if you keep your head above water until 2025 oh well, then rates are certainly going to fall, and everyone's going to be okay. Well, 2025 is long gone.    Keith Weinhold  5:01   Mortgage rates haven't fallen in any significant way, so that survive until 25 thing or whatever mantra derivative people used that was a farce, like I've said on the show here for years. You cannot predict interest rates, so I didn't make the call that they were going to go up or down at all, because you can't predict them, but so many people said, oh, rates will fall substantially by now, no way, you just can't make that assumption, you've got to take history over hunches, and all of that, a lot of those multifamily deals 100% depended. depended on refinancing at favorable rates, and that's exactly why they failed. A surefire way to look foolish is to predict interest rates. We'll talk more about the multifamily Armageddon with today's guest. I also want to get into what's called the 21st century road to housing act, because that became one of the most hotly debated housing policy provisions this year. And what this is, is a Senate bill, and it would require certain large institutional investors that develop these bills to rent single family communities. It would force them to sell those homes to individual buyers within seven years. So, in other words, what a big firm could do is build a neighborhood of rental homes, lease them for up to seven years, but they couldn't hold on to them any longer than that. They couldn't hold them indefinitely as rentals, this bill is not aimed at you, the individual investor. It is aimed at big institutions, and what I mean by that is that's generally defined as owning 350 or more homes. That's what we're talking about here. Small landlords and mom and pop investors are not the target, it targets corporate portfolios, and this means groups whose names you've probably heard of, like Blackstone, First Key Homes, Progress Residential, and Invitation Homes. They are some of the heavyweights that the government is looking to clamp down on, so whenever you hear someone talk about big Wall Street landlords, that is who they're talking about. Now, some groups are pretty worried about the 21st Century Road to Housing Act, like the NHB, that's the National Association of Home Builders, and a lot of multifamily groups are concerned, and why is that? Well, the effect is it could dramatically reduce new housing production.   Keith Weinhold  7:44   See, a big institution like First Key Homes or Blackstone, they wouldn't want to even get into this business anymore. They wouldn't want to build big build to rent communities anymore if they have to sell them all within seven years. See, they want to buy and hold for the long term, kind of like what you and I are doing, because you and I know that owning a group of selective buy and hold single family rentals is a really profitable place to be, but so if they don't want to build, then that creates a reduction in supply, which could make prices go up, and then obviously hurt those trying to afford their own home. Well, that would defeat the purpose of this whole thing. I mean, my gosh, this always seems to happen when government gets involved. So, the 21st Century Road to Housing Act could limit supply, which is the exact opposite of its intent to get first-time home buyers into their first home, and if this passes, it does have bipartisan support. This lower supply, then yes, indeed puts upward pressure on prices. Just amazing. So then it could actually go on to help the everyday mom and pop investor, like you and I, that already owns property, the individual at last check, though they're looking to pass a version that still restricts some of these giant institutions from getting into build to rents, but yet it does not have that seven year sale requirement. What's really important to remember here is that Washington, they're looking to stifle big Wall Street players from the rental market, which could reduce supply. They're not targeting individual investors. The context that's important is that these groups, they own 10s of 1000s of homes, they don't own hundreds of 1000s, and they don't own a million, so it's a really small percentage of the housing market, whatever direction policy breaks, then the headlines that it creates are just greater in magnitude than the effect on the market is. It's an important frame of reference here. Let's meet this week's guest. This week we're welcoming back a guest that we haven't heard from in a year or two in real estate circles. He is popularly known as the mad scientist of multifamily. He's quite an in-demand speaker. He has a $500 million multifamily portfolio that he essentially shares with over 1300 investors. He's sharp, a good educator, and a straight shooter. That's why he's here. It's a warm welcome back to Neal Bawa.   Neal Bawa  10:32   Thanks for having me on the show again. It's delightful to be here, and so many interesting things to talk about in the world these days.   Keith Weinhold  10:38   There really are.. I don't know if we can get it all in, Bawa is spelled B A W A. Neal, I want to get to your future housing market outlook later. How you think the future looks, including when multi families quasi Armageddon might end. But first, you're known as a data driven real estate guy. Tell us about that, and how being data driven makes you profitable.   Neal Bawa  11:03   I see concern, and I'll tell you why. The single family and multifamily market have been atrociously incredibly divergent since the first quarter of 2022 They have not tracked yet each other at all, even though if you look at the last 50 years, they tend to track each other. So you know, 2008 was a Armageddon for single family, Armageddon for multifamily, and they both sort of came up in 2012 2013 and then they had a really good time until Covid.   Keith Weinhold  11:30   Yeah,   Neal Bawa  11:31   but the second quarter of 2022 is when Fed started raising rates, and since then we've sort of slid - multifamily has gone down in terms of pricing between 20 and 30% depending upon the metro, you know, and depending upon whether it's new construction, new construction assets have gone down more than 30% and existing assets that are filled up have gone down by 20 to 30% depending upon the metro. So, metros that have a large amount of supply, closer to 30% decline in value, the metros that have less supply probably closer to 20% decline in value, right.   Keith Weinhold  12:03   Demand demand has been pretty resilient. It's more of a supply story.   Neal Bawa  12:06   It's a huge supply story, right. So, if you look at, you know, occupancy, essentially what's happened is there was so much supply that came in that really people started on those projects in 2022 maybe they didn't start a construction until 2023 they didn't finish construction until 2025 so they started leasing up in 2025 They had to give offer concessions two months, sometimes three months free, and so that pushed down the rents in 2025. And they're not done, because you typically can't rent an apartment in six months. If it's brand new, it's going to take you about 18 months to rent it, and sometimes 24 months, and so it's affected our rents in 2025 it's affecting our rents in 2026. Now it's unlikely to affect it in 2027 but we'll go there, you know, at a later stage. But at the moment, we, what we've seen is negative rent growth in the United States for multifamily for the last 12 to 15 months, and what I think is going to be negative rent growth in Q of this year and Q2 of this year, so Q1 was negative, Q2, which we are in now, is likely to be negative or flat now. Single family, on the other hand, has gone in a different direction, which has been very difficult to understand, and I believe it's taken me a while to really understand this, but I think I've finally figured it out. Single family prices are not down since 2022 which makes no sense at all, because the average mortgage in the United States today is almost double, almost double, not quite double, but almost double of what it was in at the beginning of 2022 when interest rates were about 3.3 3.4% Right now we're sitting around, you know, six and a half percent interest rates, so not quite doubled interest rates, but they've obviously gone up a fair bit, and as a result, your average, you know, mortgage has almost doubled, but home prices haven't dropped, which makes no sense if you really think about it, because home prices are a factor of demand, and they're also a factor of people's ability to pay, so if all of a sudden within four years you're paying, the mortgage is doubled, then less people are going to be able to buy, but it stayed up, the market has stayed up, and the biggest reason it stayed up is because of what is known as the lock-in effect. So, the US market typically has a million new homes every year, and there's more than a million existing homes that are transacted, right? So, it's an open market, it's a perfect competition market, but it hasn't been perfect competition for the last four years, because so many people locked in ridiculously low interest rates.    Neal Bawa  14:28   Perfect example, in 2021 and 2022 I have a 15 year mortgage at 1.75% If I sell my house back to myself, my mortgage quadruples, quadruples, right, because it goes from 1.75% to six and a half percent, so I can't even imagine even think about leaving my home, right, because it's just such a perfect loan. Most people don't have anywhere near 1.75% but there's lots of people with more mortgages in the 3% three and a half percent, and 4% range that basically can't go anywhere, and because those homes are not coming into the market. The last three years the market has had this unusual not enough supply factor, and that's been keeping prices up. That is ending. That is ending, because what we've been tracking is the percentage of homes in the United States that have low mortgages. Low is simply defined as anything under four and a half percent, and that percentage is going down each quarter, because you know divorces happen, deaths happen, you know people move for jobs, and so every time that happens, that locked in rate goes away, because you sell your home and move on, and so for a while that lock in effect was predominant, it was controlling everything, but as time has gone on, interest rates were higher in 2324 2526 For also almost four years have passed since the rate started going up. So each quarter the percentage of homes in the US that have these low interest rates has slowly moved down, and we're almost back to a normal timeframe.   Neal Bawa  15:53   And this is causing the single family market to not have a conniption, but we're starting to see a balancing of the market, where it's not just a buyer's market anymore, in some places it's actually seller's market, some places it's a buyer's market. So we're now starting to see home prices drop in number of markets in the United States. I can't say that they've dropped in super majors, but we're seeing a flattening out effect of home prices in most metros in the US, and there should be a flattening effect. Just to be blunt, I mean, obviously I own a bunch of single-family homes, so I just wanted them to keep going up for selfish reasons. But if you think about it, we had huge home price growth in like 30 plus percent in number of years, 2021 22 and even 23 and during those years, salaries only went up by two to 3% a year. In one year, they went up by 4% and rents also went up like crazy. There was a 2021 was 15% rent growth year. So, at some point, there had to be an adjustment, and we are in that period of adjustment where single family prices are basically flat on a national basis. Yes, going up in the San Francisco Bay Area because of AI, and going up in a couple other technology-heavy metros because of AI, but otherwise fairly flat, and I don't expect that to change for the next year. So, my forecast is next 12 to 18 months, home prices in the US are going to be flat on a nominal basis, they're going to be down on an inflation-adjusted basis, but you know, because of the Iran, more inflation's three and a half percent, so home prices should go up three and a half percent. So, if they stay where they are, well, they're really dropping three and a half percent.   Keith Weinhold  17:29   Yeah, before this year began, I released our forecast, it was for 2% nominal home price appreciation in the one to four unit space for the US this year, and I still like how that looks. There's so much to unpack with what you just talked about. In my view, there's nothing unusual at all that when mortgage rates rose sharply a few years ago, that home prices rose as well. Why? Because actually, that's what usually happens, which is counterintuitive to most people. In all of our lifetimes, residential real estate prices have only fallen significantly one time, that was around 2008 due to a number of unusual circumstances. The only thing that's a bit different this time is, of course, how fast rates increased in 2022 and 2023 and people wondering if residential real estate prices could still keep up, and they certainly have, but yeah, you brought up this dichotomy, this bifurcation about how the apartment market and the one to four unit space kind of separated from each other in 2022 or 2023 That's what's so interesting.   Neal Bawa  18:36   I do want to point out a couple things, though, and I don't want to be a Pollyanna here and talk about negative stuff, but I think that there's big difference between 2008 and that timeframe and where we are today, and that difference is, and it has multiple parts. Not all of your audience is aware of this. Until about 2012 the United States had very reasonable birth rates. You know, we were one of those countries that had avoided the debacle that Japan, Korea, China, and a number of other countries are seeing South Korea being the absolute worst, where basically they were producing one baby per generation, where you need about 2.2 babies just to kind of keep your population where it is, right, and the US was unusually high in that, and that we were still above that threshold, which meant that our population would continue to grow and not fall. Now, there was two reasons our population was growing: One, we had more than 2.2 babies per household, and second, we had a very significant amount of legal and a very significant amount of illegal or undocumented immigration. Right, so we had both of those pipelines today. All three of those have flipped, so the United States now basically looks like Korea or China or Japan in that every household is producing about one and a half babies, which means that our population growth, which hasn't stopped yet, because it takes a while for these things to catch. Up is likely to stop, like it's, and at some point decline again. Luckily, we're not there yet. The US is a fairly young population, unlike Japan, which is one of the oldest populations in the world. So, it'll, we'll still continue to see population growth, but there is no doubt. And you can ask Chat GPT, right? How has population growth in the United States slowed over the last 20 years.    Neal Bawa  19:22   Make me a graph, and it will make you a very nice graph, and you'll very clearly see there's a slowdown in population growth. The second part is both documented and undocumented immigration. It's my estimate that since this administration took over, somewhere between half 1,000,001 million people have left the United States. Now it's very difficult to get an actual number, as you can imagine. A number of these people were undocumented, so we didn't really know how many there were to begin with. And a number of them, when they left, they also left by an undocumented rate, that you know, path. So we've lost a bunch of those people, and also the people that have stayed in the country, we've lost a number of them in the workforce. Here's a perfect anecdote, Keith. About 33% of the construction workforce in the United States was undocumented, one in three. In Texas, as much as 40%   Keith Weinhold  19:45   Yeah, that's huge.   Neal Bawa  19:45   It's very significant. Number of those people don't show up for work anymore. I don't think they've left the US, at least I don't think so. But they don't show up for work anymore, because that's how they get caught, right. So, what we've seen is that the construction workforce in the United States has become been decimated over the last 12 months, and the impact is much greater in the second half of 2025 than the first half. Why? Because even though they wanted to do ICE enforcement, they just simply didn't have enough agents, enough facilities, enough judges. When the second half of last year, they sort of started catching up on that, hiring more agents, getting more facilities, getting more judges, and so we started to see a real challenge there. I have properties in 10 markets in the US, and what I can say is about seven of those markets, mostly Southern markets, I am beginning to see dropping occupancy related to this phenomenon. I'm seeing a reduction, and so markets like Georgia and Texas, Florida are more hit than my northern markets like Idaho. I haven't seen any impact at all, but these southern markets, multiple properties, multiple metros, I'm seeing this - people, mostly of Spanish, Mexican origin, not renewing leases. I don't know what they're doing. I don't know if they're sleeping in their cars. I don't know if they're basically just, you know, staying with mom or staying with, you know, some other family. But I'm seeing a very, very big pullback in my leases tied to this, and occupancy is dropping in those markets that are heavily Hispanic. And so I'm seeing the impact of that on landlords, but I also know that there's an impact on the US at all, and overall demand on rentals, whether it's single family or multifamily. This is a significant impact, because I don't think that the Republicans are going to make a U-turn on this. I don't want to get political, but you know, stating the obvious.   Keith Weinhold  19:45   Yes, United States had its biggest birth year in 2007 when there were more than 4 million babies born. The average age of the first time homebuyer today is 40 years old. If that holds true, that peak would take place in 2047 And then, yes, to your point about changes in immigration, yes, it sounds like a potentially a reduction in demand with what you're talking about, with some vacancies, and also maybe a reduction in supply when you have fewer construction workers to build these places as well, we're talking about building properties. Neal, I want to talk to you about the build to rent space. Somewhat is build to rent better than traditional real estate? I think that's what we really want to know. And for those that don't know, build to rent means when you construct a property where from day one that construction project is built for a tenant, not an owner occupant. I see a lot of pros and cons there. Can you talk to us about the trade-offs between build to rent and traditional real estate?   Neal Bawa  19:52   Yeah, if you think about it, it's a really terrible word, built to rent, because if you think about the word built to rent should be apartments, right, but actually doesn't mean apartments, right? So, built to rent actually means single family or town homes that were built to rent out, right? And then you're like, why don't they just said built to rent apartments and town homes? Well, you know, was too long an acronym, and we suck at acronyms anyway. But BTR, or built to rent, is essentially building single family or town homes, but specifically building them to rent, and it doesn't include any apartments at all, right? And the reason why the BTR market was growing in the last five or six years is that roughly 18 million American families can no longer afford to buy starter single family homes, you know, and by starter I mean, small old single-family homes. That's how Americans usually started, you know, in their 20s and 30s. They would buy these homes, some of them, but they would fix up, and then they over time, in their 30s, late 30s and 40s and 50s, they would upgrade, and then at starting the 50s, it would flatten out, and then the 60s, they would start to downgrade, right? That's been a typical thing that's happened in America for 56 5070, years. Well, that is, cannot happen anymore. And it broke in 2022 until 2022 It was a normal cycle beyond 2022 because interest rates almost doubled, and the mortgages almost doubled, but the incomes only increased by 10 to 20% There became this orphaned generation of Americans, roughly 18 million families, that simply cannot afford to buy that starter home, and they are now forever renters. They don't know it. They think that they're going to catch up at some point, but five minutes with an Excel spreadsheet, I could prove it to them that they're not going to catch up.    Neal Bawa  25:35   Maybe one in 100 families would see a very large increase in income, and that would result in them catching up, but for the most part, as a group, these 18 million families, they're forever enters as a group that didn't exist before 2021 right. It's entirely because of this outrageous increase in mortgages, while not seeing a drop in home prices, that led to this, and so those orphan families, they actually earn pretty well, so these are families that make 70, 80, $90,000 in mid markets. They make over $100,000 if they're living on the coasts or in expensive markets, and they still can't buy that, you know, starter home. And so they don't want to live in apartments. I have lots of apartments, old ones, new ones, and I want these people to live there, but they don't want to live there, and so they've been looking for an option, and that option has been developers like me building communities of 200 300 townhomes or single family homes with a small little yard, and then basically from day one, instead of selling them, renting them out, and then once you're done renting out the whole community with 200 tenants, then you sell that to an apartment company. You know, there's lots of apartment companies in the US that have 100,000 units. Well, they want to buy these because the turnover is lower. So, what happens is most of these town homes and single-family homes for rent. Families come in, and they typically rent for three to five years before they move, whereas in on my apartments I lose 40% of my tenants each year. So, if I have 200 tenants, I lose 80 of them every year, and I have to basically go back, clean up those units, deal with the vacancy. But when I have townhome communities like my Idaho Falls townhome community. I lose a tenant at roughly every four years, and so, as you can imagine, profitability goes up when turnover goes down, right?   Neal Bawa  27:31   Because you don't have that cost of turnover and vacancy, and so eventually those large landlords that are holding 100,000 units figured out, I like this, what Neal Bawa is doing, he's building these 200 townhomes, I want to buy these from him when they're rented. I don't want to build them, I don't want to lease them up, I just want to buy them when they're stabilized. And so BTR became that name for that marketplace where developers would build townhomes and single families, rent them out, and then sell them to institutional, and it was some—   Keith Weinhold  27:56   People think of fabulous institutionalization of the starter home.   Neal Bawa  28:00   And in many ways it is, because what happened is, for a while, these institutional players, like Blackstone and BlackRock, they were like, we are just going to go out and buy 50,000 single-family homes, and that's going to be the institutionalized. Well, that worked really well if you bought in 2008 2009 2010 2011 because you got them bought them at a discount, but when they started buying them in 2015, 16, 17, 18 at ever higher prices, they didn't make any money. So the vast majority of these public funds that were created to buy large amounts of single family have failed if they've purchased anything in the last seven or eight years. If they bought before that, they made huge amounts of money. Family homes are so expensive that basically buying them for rental did not make sense, so these companies have now pivoted to saying we'll only buy communities that have 100 or 200 or 300 of these homes, because then we get the benefits of having centralized leasing, centralized property management, centralized maintenance, and I don't have homes spread all over the metro, they're all in one place, and I can make more profit from that. In theory, that's been good, and you might think that I'm bullish on BTR, but I'm actually today bearish on BTR for one single reason. About seven months ago, Republicans started talking about a bill - I don't know what the name of the bill is, but what this bill does is it forces builds to rent developers like me within seven years of building the property to sell all of the homes in that property to single family tenants, not to Blackstone, not to Blackrock, but to single family tenants. Hasn't passed yet, but it passed the Senate with an 8910 vote, which means that both Democrats and Republicans wanted to vote for this. If it passes the House, and because Donald Trump himself is very heavily opposed to it, he's made it very clear he doesn't like this. He's a developer, obviously. It hasn't passed the House yet, but if it passes the house, that will destroy the build to rent market. No one will ever build build to rent, because the worst possible thing is I build this, and within seven years I have to actually sell it to individual buyers. If I do that, my banks are going to hate me and not give me loans to build BTR anymore. Obviously, there's going to be some grandfathering to the communities that I'm building now, or maybe even build the ones that I'm building in 2027 maybe grandfathered. It usually is, because you know, Congress never does anything retroactively, and they give you a year or two, but if it passes, it's doomsday for BTR. I hope it doesn't happen, but that's the way it's looking, because it's bipartisan. Bipartisan bills are more likely to pass   Keith Weinhold  30:40   Now for the mom and pop investor, the individual investor build to rents have obvious appeal due to your point about the lower turnover, lower maintenance costs on a new build, lower insurance costs often on a new build, and then there's the tenant appeal to a new build as well, but of course there is that investor downside. I think a lot of investors are aware of their thin initial cash flow that they're going to have on build to rent, but you know, Neal, another downside with build to rent, I think a lot of investors don't look at is, hey, just how many of these things are they building? Are they building 500 of them? Do I have some overbuild risk if I buy into this community that could suppress occupancy and rents for a while.   Neal Bawa  31:21   What we've seen is that when Built to Rent started out in 2017-2018 it was its own asset class. It wasn't competing with apartments, it wasn't competing with single family rentals, it was just its own thing. However, in the last two or three years, as more and more apartments flooded the marketplace, we had a glut. It moved away from that. It basically started getting affected, and the rent started falling, just like any other portion of the market. You know, think of it as three portions of market. There's the built to rent, which I described, you know, brand new single family homes, town homes per rent. There's the apartments, both brand new and existing, and there's the single family rentals, right, which there are millions of. What we are seeing now is it's become one market, right? All of them are affecting each other, and the apartments, which have a huge amount of glut, there's a massive amount of new apartments that have come in in the last two years, are really pushing the rents down for single family, they're pushing that rents down for BTR. So, at this point, what I would say to people that have this concern, Keith, is simply look at incoming apartment supply, because if you're in a marketplace, and I'll give you examples of really good markets that are crushed right now. If you're in a market that has a lot of incoming supply, whether you buy a single family rental, a quadplex, a 50 plex that's an apartment, or 100 unit BTR, you're going to suffer for rent growth if you have a lot of incoming supply in 2026 and that is across the board in every market in the US. Huntsville, Alabama is, in my opinion, one of the most interesting markets in the US for 5 year, 10 year growth, right?    Neal Bawa  32:54   If I had to say you don't need a loan, it's just your own cash, no investors, where would you put money in? It would be at the top of my list, not at the very top. Idaho Falls is definitely the number one market in the US in my list, but Huntsville is up there. But right now, do you know what rent growth in Huntsville is? Minus 2% negative 2% Why? Because there's 6000 units coming into a market that's, you know, 1/5 or 1/10 the size of Phoenix, right. It's 1/10 the size of Dallas, but it has half the units of Dallas or Phoenix coming in, and so rent growth is negative there. So, what I would say is today absolutely everyone that is an investor should understand that we live in the magic world of AI, and you should be talking with Chat GPT about incoming supply for any market that you're interested in, and using that to make your decisions, because all of these markets merged, BTR, new apartments, old apartments, single family, everything has emerged in the last 24 months, where they're all affecting each other, and if there's too much supply of any one kind, it's affecting all of the other markets, and that's the message that I have. And none of this is like you have to go buy a $25,000 software like Costar today. Chat GPT is your costar.   Keith Weinhold  34:11   You're listening to Get Rich Education. We're talking with the mad scientist of multifamily, Neal Bawa, where we come back, including what he thinks about recovery for the beleaguered multifamily market. I'm your host, Keith Weinhold. What if you got your mortgage loans the same place I get mine? You sure can at Ridge Lending Group, NMLS 42056 They provided GRE listeners with more loans than anyone, because Ridge specializes in investment property. They'll help you build a long-term plan for growing your real estate empire with leverage. Start your prequal, and even chat directly with President Caeli Ridge. While it's on your mind, start at ridgelendinggroup.com that's ridgelendinggroup.com    Keith Weinhold  34:56   Let me ask you something: if you've worked hard to build wealth, is your money positioned to actually support your goals? A lot of accredited investors leave capital sitting in cash because it feels safe, but inflation and missed income opportunities can quietly erode its value. Freedom Family Investments offers freedom notes for investors seeking structured income backed by real estate. It's a straightforward approach built on real assets, not speculation. In full disclosure, I'm an investor myself. What I like is that their team walks you through how it all works, so you can decide if it aligns with your portfolio and income goals. Every investment carries risk, and nothing is guaranteed, but with a track record of consistent on-time investor payouts, they built real credibility. Go to freedomfamilyinvestments.com to book a clarity call, or text family 268 66 That's Family 266 866    Speaker 1  36:00   This is the star of the A E Show, The Real Estate Commission. Todd Rollette. Listen to Get Rich Education with my friend Keith Weinhold, and don't quit your daydream.   Keith Weinhold  36:20   Welcome back to Get Rised Education. We're talking with Neal Bawa, a really sharp multifamily syndicator who's also highly data driven. And Neal, tell us more about the beleaguered multifamily market that had those aforementioned problems really cropping up in 2022 and we had a lot of supply and spiking rates. What does it look like for the path to recovery for the US multifamily market?   Neal Bawa  36:45   Luckily, demand is strong, and even though occupancies have dropped, typically the multifamily market, the large multifamily market in the US, tends to be between 95 and 96% occupied. Okay, and right now we're on 93% so that all that incoming supply means that about 7% of our apartments in the US are empty at the moment, we're trying to fill them, and we are seeing that occupancy drop, not across just new apartments that are leasing up, but also drop in class B and class C. We've also seen a huge increase in concessions, so I studied this quite obsessively, and I can tell you that 2026 in some markets is the recovery year, but not across the board in the United States, and the reason for that is sentiment. Once renters get used to huge amounts of concessions, it's like a drug, it takes a little while before you wean those renters off of those drugs, and so there's that hit right now. Every renter program,   Keith Weinhold  37:44   Everyone wants their freebie for good.    Neal Bawa  37:46   Yeah, exactly. It's like, hey, what, you're not giving me two months free? Hey, what, you're not even offering me one month free? It takes a while for that expectation to happen, because there's such a huge amount of concessions in the US. So, to me, there are a few markets, usually the smaller markets or very fast growing markets, where there's a recovery in 2026 but otherwise 2027 The first half of 2027 is recovery. The second half of 2027 is fast rent growth in a lot of markets. Why? Because remember, interest rates have been high since 2023 A lot of projects were started in 2022 went into construction in 23 came to market in 25 and 26 Lease ups are happening in 25 and 26 By early mid 27 these are all leased up, right? The second half of 2027 there isn't a lot of delivery in any of these big markets, because to deliver in the second half of 27 you would have started construction in that second half of 2025 and I counted those permits market by market. There's just not a lot, because by that time everyone knew that projects were not getting funded, everyone knew that interest rates were high, so there wasn't a lot of supply of new starts in the apartment market in the second half of 25 so there's not going to be a lot of delivery in the second half of 27 and all of the existing stuff would have been leased by then. So 2026 is one of those years where we could still see more concessions in the second half of 2026 I still see rent growth for apartments to be flat. You mentioned single family might be a little bit higher. It tends to be a little bit higher than apartments in terms of rent growth, but I think flat rent growth for 2026 is what I'm projecting. I'm projecting small rent growth in the first half of 2027 for most markets, and then I'm projecting robust rent growth, call it 3% or greater on an annualized basis, in the second half of 2027 and I'm projecting that most markets in the US that are not seeing a population drop, so count out places like Detroit are going to see a very aggressive rent growth, four or 5% rent growth, that's aggressive in our world, in 2028 28 and 29 are shaping up to be. Supply deficit years, years where supply is well under demand.   Keith Weinhold  40:05   It's pretty easy to project completions when you just go ahead and look at starts, and really, what you're counting is the story of absorption.   Neal Bawa  40:14   Yep, and what's nice about apartments is you can actually build a single family home in about nine months, right, but you can't build apartments in less than 24 months. There's just so much permitting issues, there's so many delivery issues, fire code issues, and so we have a crystal ball on the multifamily side that we are now getting better at using. I don't think the industry was very good at this in 2022 but now we're really all obsessed with how many permits does my metro have, and how many permits does my state, and how many permits does the US have? And everyone that I know in the industry that's data driven knows that there's a massive glut now, maybe a little bit of a glutton that remaining portion of 2026 equilibrium in 27 and a huge, huge supply deficit in 28 and 29 So everything that I'm doing is based on this, and this crystal ball actually works because of that two year gap between shovels in the ground and delivery,   Keith Weinhold  41:10   and it sounds like you've recommended Chat GPT as a go-to source for investors to look into these things, that happens to be my favorite one as well, and you are well, maybe it's a bit too much to say, but it almost feels like to me pioneering with the way that you use AI. In fact, I know before our show today you were running some other things in the background that made me wonder, hey, am I talking to the real Neil or the clone Neil? I know I've got the real Neil here, but why don't you tell us about how you're using AI to make data-driven decisions in real estate?   Neal Bawa  41:40   Sure, so the first thing is that we've completed our journey with the low hanging fruit of AI. Every single person in our company is fully trained on how to use Chat GPT. Most of our research-related processes are automated. For example, 100% of our investor updates are now written by Chat GPT. What we do is we go into our property manager meetings on Mondays or Tuesdays sit down with them, beat them up, and the transcript is then taken by our team in the Philippines. They take that transcript and put it into a pre-trained Chat GPT string, it's called a custom GPT, and the string took a while to train, but now that it's trained, all it needs is a transcript. We just copy paste it in, we don't give it any instructions, and it outputs a really wonderful investor update, right. And so our updates for our investors are 99% written by AI. Of course, we'll go in and add our comments at the end of the process. So we've automated investor updates, rent comps, so you know if we are underwriting a new property today, what we do is we simply go into a Google file and copy paste the address and hit enter roughly once a minute. A software, which is written by AI - we're not coders, but the software knows how to write code - it checks the file, if it sees a new address, it goes in there, grabs the address, and then it basically goes to apartments.com rent.com realtor.com and all of these places, and checks the rents for this particular property in two mile radius. It eliminates all the ones that don't match, like you don't want to match the rents of a 1970 or 80s built property with a brand new 25 built property. Those are not comps, it's not comparable. So it basically is very careful, it keeps a radius range of two miles, and also basically is a property of the same kind, you know, like it never matches up a three story property with a 10 story property. Those don't match, one of them obviously is more of a central business district or downtown sort of thing, and so it basically grabs all of those rent comps and then puts them into a file and posts in a Slack channel. Usually it takes it about 1213 minutes to do that, and so whoever put that address in about 12 minutes later goes into the Slack channel and says, "Hmm, these are all my rent comps, right? And boom, now you're basically, you have all these ready rent comps. So, what we've done is, we've automated a significant portion of what we are doing with both our property managers and inside the company with acquisitions and things like that, we're also scraping massive amounts of data from the Bureau of Labor Statistics website, which we just couldn't deal with that data before, and building very beautiful, very interactive dashboards. We don't use Chat GPT for that. We find for dashboarding a tool called Claude, which is by a company called Anthropic, is much better, so we have currently over 150 interactive dashboards that Claude has created that update in real time and give us access to data. If anything, I find that we are in this incredible time where decision making has become much easier, as long as you spend time with these tools. So, in our company we have an absolute mandate that no one has broken for the last year. One year per day, people must program, and by programming we mean issuing common language instructions to tools and build dashboards and build software that automates our work. Have we laid off anyone because of this? I mean that. Be the next obvious question. The answer is no, because it's made it easier for us to serve a much larger audience, so it's easier to grow your company. We just are not hiring anyone, and we haven't hired anybody for the last 18 months, so we have a hiring freeze, but at the same time all of our people are employed because they're they're now much more valuable. So everyone in our company is now a programmer, and even though that sounds weird, it's completely true.   Neal Bawa  45:24   Every single person in our company writes code, and they write code by talking with Cloud Code or talking with Chat GPT, and then Chat GPT, of course, does the actual code writing, but people have become very, very good at answering questions and saying, "I want a dashboard like this, turn these radio buttons into drop boxes, and give me the last month, and last three months, and last 12 months, and do this, and do that, and connect this, and I also want to host this on a server, but I want to make sure that only I can see it. I need a password added. Imagine 1000 of these conversations happening in our company every day. Yeah, that's interesting. And what you just described   Keith Weinhold  46:00   there at Gro Capitas is somewhat of a microcosm for what's happening in the broader economy, where we've been in this low high or low fire environment for quite a while. Well, Neal, as we're winding down here, we recently had a new Fed chair come in. It seems incomprehensible to me that there could possibly be any rate cuts. I don't know how we could responsibly make a rate cut with all these inflationary layers. We had the pandemic, and then terrorists, and then the Iran war, and the energy shocks, and all these bottled up supply chains. What are your thoughts with regard to the Fed?   Neal Bawa  46:29   I still think that we'll get one rate cut, and that rate cut will be based on political pressure. So, for the first time ever, I have seen the Fed break into factions, so if you look at the latest Fed meeting, which happened, you know, there was dissent, there were two clear factions, so the Fed is becoming less data driven and more faction driven, and I think that one of the factions, which obviously wants rate cuts to go down, is going to triumph at some point later in the year, but until we get past the incredible increase in inflation because of the Iran war, I don't think that faction is going to win. Right, there's three or four people in that faction, that's not enough votes to get past the others. So I'm predicting no rate cuts until Q4 of this year. If the Fed was entirely logical, there should still not be a rate card in Q4, but I think it'll happen because there's political pressure.   Keith Weinhold  47:25   The preservation of independence is key. Neil Bhawa, this has been great, and a lot of people learn from you. You're a brilliant educator, as well as what you're doing in the multifamily space, and a lot of other places. So, if someone wants to connect with you, learn more about what you do. What's the best way for them to do that?   Neal Bawa  47:43   So we built a website called Multi Family University. It's completely free. There is no subscription. There's no upsell. We do not have an educational product, but what we do is each year we have 8-12 webinars that we create with their extraordinarily good looking thanks to the use of AI. Yay, and we share them with an audience, and usually between 5000 and 1000 people attend our webinars each year, of which roughly 1% become investors with us. The rest, the remaining 99% just continue to get free access to data, and we cover every imaginable real estate topic: Single family, multifamily, industrial hotels, self storage, Airbnb, and even controversial topics outside of real estate, like climate change or impact of climate change and impact of AI. So you know, multifamily university is the best place you can go to, multifamily you.com/club It's a free club, and it's free forever.   Keith Weinhold  48:42   Neal, it's been valuable to our audience. Thanks so much for coming back out of the show.   Neal Bawa  48:46   Thanks for having me.   Keith Weinhold  48:53   Oh, a terrific, wide-ranging chat with Neal. There, yes, this interesting 2022 divergence between single family and multifamily, the slowing birth rate, and how that won't really catch up with real estate in a big way for perhaps 20 plus more years. How single family rentals beat multifamily on the basis of tenant retention, and a lot more that we covered there, and he's got a good data driven timeline for apartments being back in favor by 2027 and 2028 After the interview, Neil and I chatted some more off Mike, and he would like to come back on the show next year. We're probably going to have him, because we have a lot more to talk about at that time. We can see if the multifamily market is really healing. Also, did you pick up on this? I wonder why, for his own home he would get a 15 year mortgage at 1.75% interest, so I'll have to ask him about that. That's surely a fantastic interest rate, but a 15 year loan rather than a 30 year that maybe he could have gotten at two and a half percent at the time. Well, 15 year probably. Is not the best use of capital, because it increases your equity position rapidly. When instead, those dollars could have been out in the market earning an actual return somewhere else. But he's a smart guy, he must have an answer. We can talk about that at that time. We've got a lot of terrific shows coming up here on the GRE podcast, specific learning episodes, where it's just me teaching you, as well as new guests and returning guests too. Until next week, I'm your host, Keith Weinhold. Don't quit your daydream.   Speaker 2  50:35   Nothing on this show should be considered specific personal or professional advice. Please consult an appropriate tax, legal, real estate, financial, or business professional for individualized advice. Opinions of guests are their own. Information is not guaranteed. All investment strategies have the potential for profit or loss. The host is operating on behalf of Get Rich Education LLC exclusively.    Speaker 2  51:03   The preceding program was brought to you by Your Home for Wealth Building, getricheducation.com.  

What is a beefsteak Nazi? Chris eats sardines. Why is Trump letting China buy up farmland? What should you cook on a Blackstone? What the anti-weaponization fund is and why it doesn’t matter. Follow The Jesse Kelly Show on YouTube: https://www.youtube.com/@TheJesseKellyShowSee omnystudio.com/listener for privacy information.

Blackstone's flagship private credit fund just did something it had never done before. Investors tried to pull out about 10% of the fund's shares. Blackstone finally and for the first time ever said, NO. The $79 billion Blackstone Private Credit Fund, known as B-CRED, told shareholders it would only allow 5% of shares to be redeemed. And this is where the story gets uncomfortable.Eurodollar University's Money & Macro Analysis----------------------------------------------------------------------------------What if your gold could actually pay you every month… in MORE gold?That's exactly what Monetary Metals does. You still own your gold, fully insured in your name, but instead of sitting idle, it earns real yield paid in physical gold. No selling. No trading. Just more gold every month.Check it out here: https://monetary-metals.com/snider----------------------------------------------------------------------------------Blackstone's BCRED Caps Redemptions After Investors Seek 10%https://www.bloomberg.com/news/articles/2026-06-04/blackstone-bcred-joins-private-credit-funds-limiting-redemptionsAres' Jacobson Slams ‘Disconnect' Over Private Credit Headlineshttps://www.bloomberg.com/news/articles/2026-06-04/ares-jacobson-slams-disconnect-over-private-credit-headlinesPrivate Credit's Reckoning Is Written in the ‘Laws of Physics'https://www.bloomberg.com/news/articles/2026-06-03/private-credit-s-reckoning-is-written-in-the-laws-of-physicsAres Owed $547 Million After Collapse of Textor's Eagle Footballhttps://www.bloomberg.com/news/articles/2026-06-03/ares-owed-547-million-after-collapse-of-textor-s-eagle-footballhttps://www.eurodollar.universityTwitter: https://twitter.com/JeffSnider_EDUI'll also be active on Bravais Social - a new AI-centered social network designed for professionals and knowledge workers. The platform aims to bring together a wider range of tools and functionalities tailored specifically for professional interaction, research, and knowledge exchange in one place. You can find me here: https://bravais.social/profile/edu

P.M. Edition for June 4. During the 2020 Black Lives Matter protests, cities across the U.S. removed monuments honoring Confederate generals, Founding Fathers and Christopher Columbus. Now, some people are fighting to restore them. Journal national affairs reporter Cameron McWhirter discusses why the statue wars have returned–and what's different this time. Plus, some Russian elites are turning against the war with Ukraine. WSJ chief foreign affairs correspondent Yaroslav Trofimov discusses what this means for Vladimir Putin. And many investors in Blackstone's premier private-credit fund want their money out. Danny Lewis hosts. Sign up for the WSJ's free What's News newsletter. Learn more about your ad choices. Visit megaphone.fm/adchoices

One minute we're talking hibachi onion volcanoes and yum yum sauce rage… the next minute Riz is emotionally devastated because neighborhood kids apparently think he's the cranky old guy from every sitcom ever made. Welcome back to another completely normal episode of The Rizzuto Show — your favorite daily comedy show where chaos is not only expected, it's basically HR policy at this point.This episode starts with a beautiful weekend recap that somehow spirals into a full breakdown of suburban life. Lern and Tim hit hibachi for the annual “watch a stranger launch chicken at your face” tradition, Riz discovers his Blackstone betrayed him with a gas leak, and somehow the entire neighborhood has decided he's the villain from an HOA-themed horror movie. Meanwhile, Rafe absolutely refuses to let Riz recover emotionally after learning local middle schoolers refer to his house like it's the final boss level in a video game.Then things get even weirder when the show dives into the National Spelling Bee, where everyone quickly realizes they cannot spell basic words despite being fully grown adults with jobs and mortgages. “Diarrhea” nearly destroys the studio. “Separate” becomes a psychological warfare exercise. Lern fights bravely through America's most misspelled words while the rest of the gang contributes absolutely nothing helpful whatsoever.And because this is a daily comedy show, things naturally escalate into stories about teenagers shaving their heads for gas money, broccoli-haired dudes entering their buzzcut era, and parents realizing summer break may already be a mistake. Riz's son takes $50 to shave his head and immediately regrets everything, which honestly feels like the perfect metaphor for being young in 2026.Plus:The Three Song Challenge returns and listeners somehow struggle with bands literally everyone knowsA spelling bee breakdown nobody asked forTed Nugent tour updates because apparently that's still a thingReba McEntire appreciation hourDavid Lee Roth getting emotional talking about Van HalenMidwest brunch complaints escalate over iced coffee availabilityNeato toy hysteria sends grown adults into full Black Friday modeRafe delivers possibly the greatest Adirondack chair roast in radio historyRiz contemplates rebuilding his reputation with neighborhood children using bounce houses and hot dogsBasically, if you've ever wanted a comedy podcast that feels like your funniest friends yelling across a backyard barbecue while someone accidentally starts a grease fire nearby… congratulations. You found us.This episode of The Rizzuto Show contains neighborhood drama, emotional damage, fried rice, misspelled words, buzzcuts, weird parenting moments, and at least three people questioning modern society before 8am. Your standard daily comedy show experience.Follow The Rizzuto Show → linktr.ee/rizzshow for more from your favorite daily comedy show.Connect with The Rizzuto Show Comedy Podcast online → 1057thepoint.com/RizzShowHear The Rizz Show daily on the radio at 105.7 The Point | Hubbard Radio in St. Louis, MO.From Pointfest to the ICU: Danielle's StoryLyft driver caught using fake AI damage photos to charge Boca Raton dad a feeMemorial Day marks start of ‘100 deadliest days': MSHPMillennials spend $252 on an average date, BMO finds — and social media is spiraling over ‘date-flation'See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.