Podcasts about Karp

Episode 643 of the Sports Media Podcast with Richard Deitsch features a roundtable with Austin Karp, the media writer for Sports Business Journal and Jane McManus, an editor at Storied Sports and the author of "The Fast Track: Inside the Surging Business of Women's Sports." In this podcast Karp and McManus discuss the ESPN layoffs; why they happened; ESPN once being in more than 100 million and now being in a touch below 55 million; Linda Cohn having a great take and mentioning 150 people behind the scenes; why people still care about ESPN still in 2026; what is the ESPN fundamental brand; institutional stalwarts such as Stephanie Bell and David Lloyd being part of this; WNBA Commissioner Cathy Engelbert faces the press; what LeBron going to Philadelphia mean from a media perspective; the NBA's thinking on opening night and Christmas Day; the World Cup final between Spain and Argentina drawing an audience of nearly 63 million across English and Spanish broadcasts for the Final and Fox averaged 7.737 million viewers for the 104 broadcasts on Fox, FS1 and Tubi; ESPN's cost structure and more. You can subscribe to this podcast on Apple Podcasts, Spotify and more.

What are we supposed to make of Palantir — a company whose software has helped organizations save lives, and end them? And what of CEO Alex Karp's warnings that AI could upend American democracy? Journalist Michael Steinberger spent six years reporting on Karp for his biography, The Philosopher in the Valley: Alex Karp, Palantir, and the Rise of the Surveillance State. He tells Oz that Alex Karp, the former progressive, is a provocateur who embraces the complexity of Palantir’s work and reputation. Additional Reading: The Philosopher in the Valley: Alex Karp, Palantir, and the Rise of the Surveillance State | Simon & Schuster See omnystudio.com/listener for privacy information.

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

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

Story of the Week (DR):‘We faltered': IBM stock collapses after a grave warning about AI Customers are Prioritizing AI Hardware: While IBM mostly sells software nowadays, businesses are currently cutting back on their software budgets. Instead, they are rushing to spend their money on physical computer parts (like chips and servers) needed to build new Artificial Intelligence systems.Board skills/tenureFormer Intel CEO says the chipmaker went off the rails ‘when it started to be run by business people'The inside story of IBM's shocking profit warningXbox CEO Joins Fed AI Jobs Task Force Days After Announcing 3,200 LayoffsXbox CEO Asha Sharma, who previously worked in Microsoft's Core AI group before taking over Xbox, joins Marc Andreessen, co-founder and general partner at Andreessen Horowitz, and Charles I. Jones, a Stanford University economics professor currently on leave at Anthropic.Productivity and Jobs task force, which will study the economic impact of new general-purpose technologies, including AI, as part of the central bank's approach to monetary policy.Marc Andreessen Says AI Is 'Already a Better Doctor Than 99.99% of Human Doctors'Jamie Dimon says he understands why people have grown 'anti-rich'Gallup CEO says colonizing Mars may be closer than fixing today's ‘broken' workplace—where disengagement levels are as high as 2020Elon Musk Says His Goal Is for SpaceX to Be Worth More than the Entire EarthThe U.S. Added 441,000 Millionaires Last Year, While the Typical American Got 20% PoorerJames Murdoch may have reaped as much as $7.5 billion from his pre-IPO investment in Elon Musk's SpaceXPalantir CEO Alex Karp Warns AI Could Become America's Biggest Driver of Wealth Inequality"You now have a revolution where, you know, I could become 20 times wealthier than I am now," he added. Karp said AI is creating a "complete decoupling" between ordinary economic gains and a small group of people accumulating "unimaginable wealth."The AI Backlash Has Tech Executives Fearing for Their Lives MMPeter Thiel and other tech billionaires are publicly shielding their children from the products that made them richAnthropic's New AI Ad Is So Disturbing, OpenAI CEO Sam Altman Thought It Was SatireMeta Oversight Board study: AI chatbots may be the most perfect propaganda machine ever inventedA Majority of Americans Now Support Seizing Wealth From AI IndustryGoodliest of the Week (MM/DR):DR: New York bans data center construction for a year, rattling AI industry AND New York becomes first U.S. state to impose AI data center banMM: FREE FLOAT! MMMicrosoft's emissions rose 25% last year. Experts say they'll surge even more dramatically in the years aheadWe said FIVE YEARS AGO that MSFT board was one of the worst at managing carbon despite setting a net negative target at the timeWe were correctAssholiest of the Week (MM):It's not us, it's youxAI sued a Grok user for allegedly generating deepfakes of child sexual abuseIn the ultimate in tech bro manbaby id, Musk is blaming the USERS for his failure to stop child sex abuseLike a gun company suing a gun owner for using the gun used in murder - gun terms of service!Dimon urges calm over fear about AI's impact on jobs: 'Stop being breathless over it'AI isn't the problem, your breathless fear isRobotaxis Are Turning Passengers Into Horrible and Entitled Menaces to SocietyIt's not the service, it's the user… Meta CTO Says He'd Like to Sue Leakers, Then Audio From That Same Meeting LeaksIt's not what I said that's the problem, it's that you told someonePeter Thiel and other tech billionaires are publicly shielding their children from the products that made them richBut YOUR children should use them, obviouslyIt's the USER's fault now… unless, of course, it's a school - in which case the SCHOOL is to blame:84% of students use AI for homework. Only 3 in 10 schools have rules for itAccessWhite House teleprompter operator investigated over alleged trades on Trump speechesTrump Media to Sell Faster Access to President's Social PostsOpenAI Strikes Bold Deal With Kalshi to Mix Together the Most Hated Technologies in Existence: AI and Prediction MarketsDOJ Defends Musk's Unpermitted Gas Turbines, Saying Shutting Down Grok Threatens National SecurityElon Musk's $1 million offers to voters in Wisconsin election were probably illegal bribes, bipartisan panel rulesParamount Shareholder Sues Ellisons, Board For Alleged Side Deal, Promises To Donald TrumpMichael Dell has nailed his relationship with Donald Trump, and it's paying offMeritocracyPete Hegseth Announces Military Will Test Service Members' Testosterone Levels and Offer Hormone TherapyEveryone is a trans man!Is AI Rejecting Your CV Because of Your Age or Race? Landmark Lawsuit Could Reshape RecruitmentFor Black women hit by anti-DEI backlash, this election is personalAustralia's highest paid CEO makes 500 times the average salaryThe American E.V. Has Been Crushed. Will It Take the U.S. Auto Industry With It?WE WANT THE CARS. Just give us the Chinese ones nowJim Cramer on Meta: “Zuckerberg's Not a Bozo, You Can Quote Me on That”Paul Fucking Atkins and The War on John Cheveddan DR“Regardless of the fate of Rule 14a-8 next season and beyond, I implore all who have a role in the shareholder proposal process to not let it be weaponized by those who represent fringe interests. Annual meetings are not vehicles for political or social debates that have little or no bearing on investors' financial returns.”“This past season, one—yes, one—individual was the sole or lead proponent for approximately 41 percent of the shareholder proposals that were voted upon.[20] Of this individual's proposals, only eight percent received majority support.[21] Simply put, when a single shareholder can seize annual meetings to present scores of proposals on issues that are not generally supported by other shareholders, the system is woefully ineffective and in desperate need of reformation.”That individual is John CheveddanAtkins neglected to mention the rise of anti-ESG filers as a group, and their average of

With open weight models fast approaching the power and utility of closed AI giants, enterprises face tough choices about privacy, sovereignty, and who they can trust. Explore why the next tech revolution might depend on which models stay truly open—and who gets to keep using them. Mozilla's inaugural 'State of Open Source AI' Report with CTO Raffi Krikorian - https://stateofopensource.ai/ Apple sues OpenAI, alleging it stole trade Secrets Google's Demis Hassabis says it's time for a global AI watchdog — led by the US Microsoft July 2026 Patch Tuesday fixes massive 570 flaws, 3 zero-days White House details 'Gold Eagle' clearinghouse for AI cyber threats Introducing GPT-Live From Chatbot to Command Center OpenAI may have made a fatal misstep in copyright fight with news orgs A Green Being (@a_green_being) on X What xAI Grok Build CLI actually sends to xAI - a wire-level analysis (grok 0.2.93) Musk promises purge after Grok Build caught sending entire repos to the cloud PrismML — Announcing Bonsai 27B: The First 27B-Class Model to Run on a Phone Fidji Simo steps down from leading OpenAI's AGI work due to illness OpenAI has folded safety into research again. Its head of safety is leaving. We built a vulnerability vending machine: AI tokens in, zero-days out Australia demands AI companies must produce more energy than they consume, stop 'theft' of content White House not ruling out action on open-source AI models The Hard-Line Activists Ramping Up for the War With AI - WSJ Super Dario: One More Week How to stop Claude from saying load-bearing | jola.dev History of LLMs: Complete Timeline & Evolution (1950-2026) No, You Shouldn't Avoid Fruits and Vegetables Due to Cyclospora Google creator profiles Dust jacket Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Raffi Krikorian Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: blackhat.com/us-26 and use code TWIT gusto.com/machines monarch.com with code IM XBOW.com

With open weight models fast approaching the power and utility of closed AI giants, enterprises face tough choices about privacy, sovereignty, and who they can trust. Explore why the next tech revolution might depend on which models stay truly open—and who gets to keep using them. Mozilla's inaugural 'State of Open Source AI' Report with CTO Raffi Krikorian - https://stateofopensource.ai/ Apple sues OpenAI, alleging it stole trade Secrets Google's Demis Hassabis says it's time for a global AI watchdog — led by the US Microsoft July 2026 Patch Tuesday fixes massive 570 flaws, 3 zero-days White House details 'Gold Eagle' clearinghouse for AI cyber threats Introducing GPT-Live From Chatbot to Command Center OpenAI may have made a fatal misstep in copyright fight with news orgs A Green Being (@a_green_being) on X What xAI Grok Build CLI actually sends to xAI - a wire-level analysis (grok 0.2.93) Musk promises purge after Grok Build caught sending entire repos to the cloud PrismML — Announcing Bonsai 27B: The First 27B-Class Model to Run on a Phone Fidji Simo steps down from leading OpenAI's AGI work due to illness OpenAI has folded safety into research again. Its head of safety is leaving. We built a vulnerability vending machine: AI tokens in, zero-days out Australia demands AI companies must produce more energy than they consume, stop 'theft' of content White House not ruling out action on open-source AI models The Hard-Line Activists Ramping Up for the War With AI - WSJ Super Dario: One More Week How to stop Claude from saying load-bearing | jola.dev History of LLMs: Complete Timeline & Evolution (1950-2026) No, You Shouldn't Avoid Fruits and Vegetables Due to Cyclospora Google creator profiles Dust jacket Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Raffi Krikorian Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: blackhat.com/us-26 and use code TWIT gusto.com/machines monarch.com with code IM XBOW.com

With open weight models fast approaching the power and utility of closed AI giants, enterprises face tough choices about privacy, sovereignty, and who they can trust. Explore why the next tech revolution might depend on which models stay truly open—and who gets to keep using them. Mozilla's inaugural 'State of Open Source AI' Report with CTO Raffi Krikorian - https://stateofopensource.ai/ Apple sues OpenAI, alleging it stole trade Secrets Google's Demis Hassabis says it's time for a global AI watchdog — led by the US Microsoft July 2026 Patch Tuesday fixes massive 570 flaws, 3 zero-days White House details 'Gold Eagle' clearinghouse for AI cyber threats Introducing GPT-Live From Chatbot to Command Center OpenAI may have made a fatal misstep in copyright fight with news orgs A Green Being (@a_green_being) on X What xAI Grok Build CLI actually sends to xAI - a wire-level analysis (grok 0.2.93) Musk promises purge after Grok Build caught sending entire repos to the cloud PrismML — Announcing Bonsai 27B: The First 27B-Class Model to Run on a Phone Fidji Simo steps down from leading OpenAI's AGI work due to illness OpenAI has folded safety into research again. Its head of safety is leaving. We built a vulnerability vending machine: AI tokens in, zero-days out Australia demands AI companies must produce more energy than they consume, stop 'theft' of content White House not ruling out action on open-source AI models The Hard-Line Activists Ramping Up for the War With AI - WSJ Super Dario: One More Week How to stop Claude from saying load-bearing | jola.dev History of LLMs: Complete Timeline & Evolution (1950-2026) No, You Shouldn't Avoid Fruits and Vegetables Due to Cyclospora Google creator profiles Dust jacket Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Raffi Krikorian Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: blackhat.com/us-26 and use code TWIT gusto.com/machines monarch.com with code IM XBOW.com

With open weight models fast approaching the power and utility of closed AI giants, enterprises face tough choices about privacy, sovereignty, and who they can trust. Explore why the next tech revolution might depend on which models stay truly open—and who gets to keep using them. Mozilla's inaugural 'State of Open Source AI' Report with CTO Raffi Krikorian - https://stateofopensource.ai/ Apple sues OpenAI, alleging it stole trade Secrets Google's Demis Hassabis says it's time for a global AI watchdog — led by the US Microsoft July 2026 Patch Tuesday fixes massive 570 flaws, 3 zero-days White House details 'Gold Eagle' clearinghouse for AI cyber threats Introducing GPT-Live From Chatbot to Command Center OpenAI may have made a fatal misstep in copyright fight with news orgs A Green Being (@a_green_being) on X What xAI Grok Build CLI actually sends to xAI - a wire-level analysis (grok 0.2.93) Musk promises purge after Grok Build caught sending entire repos to the cloud PrismML — Announcing Bonsai 27B: The First 27B-Class Model to Run on a Phone Fidji Simo steps down from leading OpenAI's AGI work due to illness OpenAI has folded safety into research again. Its head of safety is leaving. We built a vulnerability vending machine: AI tokens in, zero-days out Australia demands AI companies must produce more energy than they consume, stop 'theft' of content White House not ruling out action on open-source AI models The Hard-Line Activists Ramping Up for the War With AI - WSJ Super Dario: One More Week How to stop Claude from saying load-bearing | jola.dev History of LLMs: Complete Timeline & Evolution (1950-2026) No, You Shouldn't Avoid Fruits and Vegetables Due to Cyclospora Google creator profiles Dust jacket Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Raffi Krikorian Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: blackhat.com/us-26 and use code TWIT gusto.com/machines monarch.com with code IM XBOW.com

With open weight models fast approaching the power and utility of closed AI giants, enterprises face tough choices about privacy, sovereignty, and who they can trust. Explore why the next tech revolution might depend on which models stay truly open—and who gets to keep using them. Mozilla's inaugural 'State of Open Source AI' Report with CTO Raffi Krikorian - https://stateofopensource.ai/ Apple sues OpenAI, alleging it stole trade Secrets Google's Demis Hassabis says it's time for a global AI watchdog — led by the US Microsoft July 2026 Patch Tuesday fixes massive 570 flaws, 3 zero-days White House details 'Gold Eagle' clearinghouse for AI cyber threats Introducing GPT-Live From Chatbot to Command Center OpenAI may have made a fatal misstep in copyright fight with news orgs A Green Being (@a_green_being) on X What xAI Grok Build CLI actually sends to xAI - a wire-level analysis (grok 0.2.93) Musk promises purge after Grok Build caught sending entire repos to the cloud PrismML — Announcing Bonsai 27B: The First 27B-Class Model to Run on a Phone Fidji Simo steps down from leading OpenAI's AGI work due to illness OpenAI has folded safety into research again. Its head of safety is leaving. We built a vulnerability vending machine: AI tokens in, zero-days out Australia demands AI companies must produce more energy than they consume, stop 'theft' of content White House not ruling out action on open-source AI models The Hard-Line Activists Ramping Up for the War With AI - WSJ Super Dario: One More Week How to stop Claude from saying load-bearing | jola.dev History of LLMs: Complete Timeline & Evolution (1950-2026) No, You Shouldn't Avoid Fruits and Vegetables Due to Cyclospora Google creator profiles Dust jacket Hosts: Leo Laporte, Jeff Jarvis, and Paris Martineau Guest: Raffi Krikorian Download or subscribe to Intelligent Machines at https://twit.tv/shows/intelligent-machines. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: blackhat.com/us-26 and use code TWIT gusto.com/machines monarch.com with code IM XBOW.com

Az internet hajnalán a kibertérben sokan a szabadság kiteljesítőjét látták. Mi történt a 2000-es éveket jellemző digitális optimizmussal? Hogyan jelennek meg a kontroll új technikái? Felelős-e egy nagyvállalat a tartalomért, ha „csak” platformot nyújt? Miért sorakozik fel a tech elit a Trump-adminisztráció mögött? Mit tanulhatunk egy amerikai kisváros példájából, amely önkormányzati internethálózatot épített a nagy telekommunikációs cégek lobbizása ellenére? Van-e az AI-nak ideológiája? Mi köze az infrastruktúra történetének a gyarmatosításhoz? Ilyen és ehhez hasonló kérdésre keressük a választ a No Pasarán! legújabb részében, ahol a technofasizmusról lesz szó.—Hivatkozásjegyzék:Barlow, John Perry 1996: A Declaration of the Independence of Cyberspace. Electronic Frontier Foundation, Davos. (Utolsó letöltés: 2026. június 24.) URL: https://www.eff.org/cyberspace-independence.Chan, Anita Say 2025: Predatory Data: Eugenics in Big Tech and Our Fight for an Independent Future. University of California Press, Oakland.Coeckelbergh, Mark 2026: Technofascism: AI, Big Tech, and the new authoritarianism. AI & Society 41. (5.). 5163–5176.Karp, Alexander C. – Zamiska, Nicholas W. 2025: The Technological Republic: Hard Power, Soft Belief, and the Future of the West. Crown Publishing Group, New York. Loewenstein, Antony 2023: The Palestine Laboratory: How Israel Exports the Technology of Occupation Around the World. Verso, London–New York.Madianou, Mirca 2024: Technocolonialism: When Technology for Good is Harmful. Polity Press, Cambridge.McQuillan, Dan 2022: Resisting AI: An Anti-fascist Approach to Artificial Intelligence. Policy Press, Bristol.Mejias, Ulises A. – Coudry, Nick 2024: Data Grab: The New Colonialism of Big Tech and How to Fight Back. University of Chicago Press, Chicago.Paris, Britt S. 2026: Radical Infrastructure: Imagining the Internet from the Ground Up. University of California Press, Oakland.Thiel, Peter 2009: The Education of a Libertarian. Cato Unbound (Utolsó letöltés: 2026. június 24.) URL: cato-unbound.org.—Legyél rendszeres támogató!https://cause.lundadonate.org/partizan/adomanyPartizán webshop:https://shop.partizan.hu/—Csatlakozz a Partizán közösségéhez, értesülj elsőként eseményeinkről, akcióinkról!https://csapat.partizanmedia.hu/forms/maradjunk-kapcsolatban—Legyél önkéntes!Csatlakozz a Partizán önkéntes csapatához:https://csapat.partizanmedia.hu/forms/csatlakozz-te-is-a-partizan-onkenteseihez—Iratkozz fel a Partizán Szerkesztőségi Hírlevelére!https://csapat.partizanmedia.hu/forms/iratkozz-fel-a-partizan-szerkesztoinek-hirlevelere

AGENDA: 05:00 Washington Just Put Frontier AI on a Leash 06:30 Sam Altman's Wild 5% Government Stake Idea 19:00 The AI Funding Bubble: Why Founders No Longer Fear Dilution 28:00 Alex Karp's Brutal Warning: Enterprises Don't Trust Frontier AI 33:00 Meta's Shock Pivot: Has Zuck Accidentally Built the Next CoreWeave? 41:00 Nvidia's Dangerous New Game: "Compute Now, Pay Later" 45:00 Anthropic & DeepSeek Go After Nvidia's Crown 48:00 Kling vs Sora: Did China Just Win AI Video? 52:00 Is China Secretly Winning the Open Source AI War? 01:02:00 Microsoft & Amazon's $6B Bet: AI Still Needs Humans 01:11:00 Ashton Kutcher Walks Away From Sound Ventures 01:16:00 The New Startup Talent War: No Liquidity, No Chance 01:20:00 Final Thoughts: Who Wins the AI Endgame?

Alex Karp went on CNBC to talk about Palantir's new Nvidia initiative, but what came out was much bigger than a partnership announcement. In this episode, Chris and Saied break down what Palantir actually does, why Gotham, Foundry, Apollo, and AIP matter, and why Karp believes the next phase of AI is not consumer chatbots — it is controlled, sovereign, mission-critical AI inside governments, militaries, banks, hospitals, factories, and critical infrastructure. The conversation becomes a larger debate over whether AI labs like OpenAI and Anthropic have oversold the dream, whether enterprises are wasting money on token economics, and whether corporate America fears its proprietary data, IP, and “alpha” are being absorbed by model providers. This is not just a Palantir episode. It is a conversation about who controls the future of AI: private labs, public governments, or the companies building the operating layer between them.

Episode 637 of the Sports Media Podcast with Richard Deitsch features a roundtable with Austin Karp, the media writer for Sports Business Journal and Jane McManus, an editor at Storied Sports and the author of "The Fast Track: Inside the Surging Business of Women's Sports." In this podcast we discuss the preliminary U.S. audience numbers for the USMNT's knockout win Wednesday over Bosnia and Herzegovina; what it means to have the most-watched English-language soccer telecast and the most-watched Spanish-language soccer telecast in U.S. history; what is realistic for viewership of the U.S.-Belgium on Monday; Telemundo's EVP/Sports & Head of Streaming telling Karp that it may entail a scenario where “we combine with both languages” by adding the English rights to the Spanish rights the company already has across Telemundo and Peacock; the never-ending discourse surrounding Caitlin Clark; why every argument about Clark feels like a cultural war test; the failure of WNBA officials to be proactive on this topic; whether this is having any business impact on the WNBA; Adam Herbets, an investigative reporter for The Center Square, obtaining the body-worn camera footage of New Jersey police officer that spoke with Dianna Russini; whether that act would be a prompt a suspension at The Athletic; McManus on the stark differences of male reporters covering the NFL space versus female reporters and more.You can subscribe to this podcast on Apple Podcasts, Spotify and more.

Ranjan Roy from Margins is back for our weekly discussion of the latest tech news. We cover: 1) Zuck says AI agent progress isn't going to plan 2) Meta explores selling excess compute 3) Why can't anyone build an AI agent? 4) Are Anthropic and OpenAI becoming the point of failure in the AI trade 5) Is Google hedging? 6) What is Satya Nadella up to? 7) Should Microsoft bring back bad Sydney 8) Palantir CEO Alex Karp challenges the frontier labs 9) Everyone vs. OpenAI and Anthropic? 10) Should OpenAI give the U.S. government 5% of its equity? 11) Taylor Swift & Travis Kelce wedding trutherism --- Enjoying Big Technology Podcast? Please rate us five stars ⭐⭐⭐⭐⭐ in your podcast app of choice. Want a discount for Big Technology on Substack + Discord? Here's 25% off for the first year: https://www.bigtechnology.com/subscribe?coupon=0843016b Learn more about your ad choices. Visit megaphone.fm/adchoices

Karp appeared on CNBC to discuss an expanding partnership between Palantir and Nvidia aimed at building AI infrastructure for government and enterprise customers. However, the interview quickly shifted away from the partnership and into a broader discussion about AI companies, business models, and control of intellectual property. Please Like, Comment and Follow 'Philip Teresi on KMJ' on all platforms: --- Philip Teresi on KMJ is available on the KMJNOW app, Apple Podcasts, Spotify, YouTube or wherever else you listen to podcasts. -- Philip Teresi on KMJ Weekdays 2-6 PM Pacific on News/Talk 580 AM & 105.9 FM KMJ | Website | Facebook | Instagram | X | Podcast | Amazon | - Everything KMJ KMJNOW App | Podcasts | Facebook | X | Instagram See omnystudio.com/listener for privacy information.

Karp appeared on CNBC to discuss an expanding partnership between Palantir and Nvidia aimed at building AI infrastructure for government and enterprise customers. However, the interview quickly shifted away from the partnership and into a broader discussion about AI companies, business models, and control of intellectual property. Please Like, Comment and Follow 'Philip Teresi on KMJ' on all platforms: --- Philip Teresi on KMJ is available on the KMJNOW app, Apple Podcasts, Spotify, YouTube or wherever else you listen to podcasts. -- Philip Teresi on KMJ Weekdays 2-6 PM Pacific on News/Talk 580 AM & 105.9 FM KMJ | Website | Facebook | Instagram | X | Podcast | Amazon | - Everything KMJ KMJNOW App | Podcasts | Facebook | X | Instagram See omnystudio.com/listener for privacy information.

Competition for AI Is Coming From a Surprise Source That Could Pressure U.S. Companies' Prices and Profits  We tend to focus on the major AI companies in the United States and assume they will be the long-term winners. However, one competitor that cannot be ignored is China. Chinese companies are making rapid progress in artificial intelligence, and they could become a serious challenge to U.S. firms.  Don't forget that China is a communist country and the government can put in a lot of capital to win the AI race. That ability to heavily fund AI development could help Chinese companies narrow the gap with, or even surpass, some American competitors in certain areas.  According to Artificial Analysis, which evaluates the capabilities of large language models, China's Z.ai ranked among the top three globally with its latest model release. Another concern is cost. Z.ai is reportedly offering models at less than half the price of many American rivals. Lower prices could make it easier for the company to gain market share while putting pressure on the pricing and profit margins of U.S. AI companies.  I certainly don't want to see American companies lose ground to Chinese competitors. However, as investors, we have to evaluate the competitive landscape objectively. U.S. AI companies have already committed hundreds of billions of dollars to infrastructure and development. If competition forces prices lower, it may take much longer for these companies to generate the profits needed to justify today's lofty stock prices and valuations.    The Business of Kids' Sports Is Changing and it May Not Be for the Better  Private equity has made its way into nearly every corner of the economy, and now it's becoming a major force in youth sports. The Aspen Institute has estimated that youth sports are now a $40 billion industry in the U.S, which is likely why private equity is now targeting the space. That's raising serious concerns about what happens when maximizing investor returns becomes more important than giving kids affordable opportunities to play.  As private equity firms buy up leagues, tournaments, training facilities, and sports complexes, critics argue the result is less competition, higher registration fees, and fewer affordable options for families. The average cost of youth sports has increased dramatically in recent years, leaving many children priced out of participating simply because their families can't afford it.  One thing that stands out is that this has become one of the rare issues drawing concern from both Republicans and Democrats in Congress. Burgess Owens, a Republican from Utah and former professional football player, pointed out “Investment is important, but it's when the mission is our kids, not investors. We're seeing too much of this. We're going to lose the soul of our nation if we don't get this right.” He also acknowledged that while some investors are doing it the right way, bad actors need to be kept out. While there are differences over how to address the problem, there appears to be broad bipartisan agreement that rising costs and reduced consumer choice deserve closer scrutiny.  Youth sports should be about developing character, teamwork, friendships, and healthy competition, not creating another industry where financial engineering determines who gets to participate. If the trend toward consolidation continues unchecked, more families may find themselves priced out of opportunities that should be available to every child, regardless of income.    Bitcoin Company Strategy Is in Trouble  Strategy, formerly known as MicroStrategy, changed its name after the company essentially became a leveraged bet on Bitcoin rather than a software business. As management shifted its focus almost entirely to buying Bitcoin, it dropped the "Micro" from its name to reflect that new identity.  CEO Michael Saylor spent years promoting Bitcoin and telling investors that owning Strategy stock was one of the best ways to benefit from its rise. To finance those Bitcoin purchases, the company repeatedly issued low-interest convertible bonds.  The next major maturity comes on September 15, 2027, when approximately $1 billion of convertible notes become due. If you're unfamiliar with convertible bonds, they allow a company to borrow money at lower interest rates because investors have the option to convert the bonds into stock instead of receiving cash repayment. For that to happen, however, the stock price must trade well above the conversion price.  In this case, the conversion price is about $183 per share, about double the current stock price of roughly $90. Unless the stock stages a dramatic recovery, those bonds are unlikely to be converted into shares, meaning Strategy would need to repay the $1 billion in cash.  The stock has fallen nearly 79% over the past year, and Bitcoin's decline has only magnified the losses. Bitcoin itself has dropped roughly 50% from its peak, falling below $60,000 depending on the day. When Bitcoin was making new highs, investor excitement seemed endless. Now that prices have been cut roughly in half, much of that enthusiasm has disappeared.    Michael Saylor has also been noticeably absent from major interviews in recent months. Whether that is because demand for his appearances has faded or because the company's performance has made those appearances more difficult is open to interpretation. Strategy stock reached a high of around $473 in late 2024 and now trades near $90.  We've discussed this company many times before. The concern has always been that Strategy is not creating meaningful operating growth as it is primarily just borrowing money to buy Bitcoin. Unlike a traditional operating company, it is not relying on expanding products or services to drive future earnings.  At the moment, there does not appear to be a clear catalyst that would significantly lift either Bitcoin or Strategy's stock price. If the shares remain well below the conversion price as the 2027 maturity approaches, investors are likely to become increasingly concerned about how the company will repay its debt. That uncertainty could continue to put pressure on the stock.    Upper-middle-class Americans may not be as financially secure as they would like  Upper-middle-class Americans, generally defined as households earning between $150,000 and $250,000 per year, may be in a stronger financial position than most, but many are becoming increasingly pessimistic about the future.  You may be surprised to learn that 86% of upper-middle-class Americans do not believe their children will have a better life than they have. Just seven years ago, in 2019, that figure was only 64%.  Many upper-middle-class households are also losing confidence in the economic system and the government. They increasingly feel that the odds are stacked against them, making it harder to continue moving ahead financially. In the most recent Wall Street Journal survey, 65% of affluent Americans said they believe the system is rigged against them, more than double the 29% who felt that way in 2017.  The news isn't much better for the middle class, generally defined as households earning between $65,000 and $235,000 annually. Only 25% said they have been able to save beyond an emergency fund. Roughly one in four also reported carrying credit card debt that they are unable to pay off in full each month.  Despite these concerns, there has still been significant upward mobility. About 75% of people in today's upper-income group said they now belong to a higher economic class than the one they grew up in. Among middle-class Americans, roughly half said they also grew up in a lower economic class than where they are today.  Views on higher education are changing as well. About one-third of middle-class Americans no longer believe a four-year college degree is the best path to financial success. Rising tuition costs, growing student debt, and the availability of alternative career paths have caused many to rethink the traditional college route.  No matter which income group people belong to, there is often a desire to improve their financial situation and move up economically. That ambition is a healthy part of human nature and is often what drives people to work harder, save more, and invest for the future. While constantly striving for more can sometimes make it difficult to feel fully satisfied, the pursuit of improvement can also provide a strong sense of purpose and accomplishment.    Did The Recent Jobs Report Tell the Whole Story?  At first glance, this weeks jobs report looked fairly uneventful. The U.S. economy added 57,000 nonfarm payroll jobs in June, and the unemployment rate fell to 4.2%. This was below the estimate of 115k, but it does follow three strong months of payroll growth.  After looking through the report, there are several numbers that raise some important questions.  The first is the labor force. About 720,000 people left the labor force in June, pushing the labor force participation rate down to 61.5%, the lowest since March 2021. Even more troubling is that if we exclude the Covid-era, it was the lowest labor force participation rate in exactly 50 years. When people stop looking for work, they are no longer counted as unemployed, which can make the unemployment rate appear stronger than it otherwise would.  Another surprising number was leisure and hospitality, which lost 61,000 jobs. June is typically one of the strongest hiring months of the year for hotels, restaurants, entertainment, and travel-related businesses. The Bureau of Labor Statistics attributed much of the decline to weaker-than-normal seasonal hiring, but it's still worth asking whether this reflects a temporary statistical issue or an early sign that consumer spending is beginning to soften. It is especially strange given the popularity of the World Cup and many speculated this would be a strong sector in the report. Goldman Sachs in particular estimated a gain of 40k in leisure and hospitality before the report was released.  Then there is the latest JOLTS report. Job openings stood at 7.6 million in May, showing employers are still looking for workers, but the question is if people are actually leaving the workforce can these jobs actually get filled?  One report never tells the entire story, but these numbers deserve a closer look. Was June simply an odd month because of seasonal adjustments? Or are we beginning to see a labor market that is slowing more quickly than the headline unemployment rate suggests? The next few months of data should help answer that question.    The biggest risk in AI may not be the technology, it may be the economics.  This week, Bradley Tusk and Ed Zitron raised important questions that investors shouldn't ignore.  Bradley Tusk (founder and CEO of Tusk Ventures and a venture capitalist) made an interesting observation: investors are treating frontier AI models the same. But China's AI companies are proving that powerful models can be developed much more cheaply and improve much faster than many expected. If lower-cost models continue to narrow the performance gap, AI models could become increasingly commoditized, making it much harder for companies spending hundreds of billions of dollars on infrastructure to earn attractive returns.  Ed Zitron (author, podcaster and tech industry critic) echoed a similar concern from a different angle. He argues that AI companies are engaged in an expensive arms race, pouring enormous amounts of capital into chips, data centers, and model development without proving that the economics will justify the investment. As he has said, companies are "burning money at an astonishing rate" while investors continue to assume future profits will eventually catch up.  This also ties into a warning from co-funder and CEO of Palantir Technologies, Alex Karp . He has criticized what he calls "token maxxing"—the idea that success in AI is simply about generating more tokens, building bigger models, and spending more on compute. Karp's point is that producing more AI output doesn't automatically create more business value. The companies that ultimately win will be the ones that solve real customer problems and generate durable profits, not necessarily those that consume the most GPUs or produce the most tokens.  History shows that revolutionary technologies don't always produce the best investments. The internet transformed the world, but many of the biggest companies of the dot-com era disappeared because expectations got too far ahead of profits.  AI will almost certainly reshape the economy. The bigger question for investors is whether the companies making the largest investments will ultimately earn the returns the market is expecting—or whether AI models become increasingly commoditized, leaving the biggest winners to be the businesses that successfully apply AI rather than simply build larger models.    Financial Planning: Trump Account Investment Options Released Ahead of $1,000 Seed Funding  Trump Accounts are expected to receive $1,000 of government seed money as soon as the 4th of July. If you have a child born in 2025 through 2028, you can apply online now at trumpaccounts.gov. This is basically a retirement account with a caveat, contributions can be made on behalf of children even if they don't have earned income.  However extra contributions are made on an after-tax non-Roth basis so no upfront tax deduction and no tax-free growth. Instead contributions establish cost basis and investment earnings grow tax-deferred, but are ultimately taxed upon withdrawal at ordinary income rates. In practice, this tax deferral benefit is overstated. This week the Treasury Department released 5 investment options: SPYM, IVV, VTI, ITOT, and SPTM. These are virtually all the same investment, a low fee fund that is heavily weighted toward the largest US companies. This means there is no reason to sell or rebalance, so the only real option is to buy and hold.  Buying and holding can also be done in a regular brokerage account with tax deferred until sale, but at the lower, potentially 0%, long-term capital gains rates rather than the higher ordinary income rates. Some planning strategies involve funding the Trump account and later converting it to a Roth. However, those conversions would still trigger tax at ordinary income rates and potentially trigger the kiddie tax, pulling the income into the parent's tax bracket. Since in every possible situation, the long-term capital gain tax rate is always less than the ordinary income tax rate, a better strategy may be to fund a brokerage account and use the future proceeds to make contributions to Roth accounts which likely could be done tax-free rather than funding a Trump account and eventually making Roth conversions at a higher rate. For this reason, while the $1,000 government seed contribution is worth it, additional voluntary contributions may be less attractive compared to already available alternatives.    Companies Discussed: Meta Platforms, Inc. (Ticker: META) 

Palantir CEO Alex Karp is fired up about the costs of AI lab tokens–and he assures us that every other CEO is angry, too. In a passionate interview, Karp addresses “tokenmaxxing,” national security, global AI competition, and Palantir's expanded partnership with Nvidia. Then, two teens from opposite sides of the political aisle have come together to write a book about bipartisanship. Larra Mullin, daughter of DHS Secretary Markwayne Mullin, and Ellie Gottheimer, daughter of Congressman Josh Gottheimer (D-NJ), discuss their upbringing in and out of Washington, D.C. Plus, stocks are kicking off the second half of 2026 after a strong performance in the first, the U.S. government has lifted export controls on Anthropic's Fable 5 and Mythos 5 models, Nike has reported its quarterly earnings, and President Trump's annual financial disclosure report is making headlines.    Alex Karp - 21:53 Ellie Gottheimer & Larra Mullin - 43:05   In this episode: Alex Karp, @PalantirTech Joe Kernen, @JoeSquawk Becky Quick, @BeckyQuick Andrew Ross Sorkin, @andrewrsorkin Seema Mody, @seemacnbc Katie Kramer, @Kramer_Katie Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

July 1, 2026: Companies are discovering that AI agents can drive token usage far beyond what they budgeted for, forcing leaders to bring cloud-style cost controls into AI spending. Then I get into Ford bringing back 300 veteran quality inspectors and engineers after its AI-driven quality checks missed what experienced humans could catch. Finally, I look at Palantir CEO Alex Karp's CNBC warning about token pricing, customer data, model control, and why more companies may start rethinking how much of their AI strategy they want to outsource.

Sara Eisen joins from the ECB Forum in Portugal after speaking with global central bank leaders on a blockbuster panel, including Fed Chairman Kevin Warsh. Then, Anthropic investor Matt Witheiler of Wellington Management joins after Anthropic announces the Trump Administration reversed its ban on two of the company's AI models. Plus, we bring you Palantir CEO Alex Karp's message to Wall Street when it comes to open source models and LLMs.   Squawk on the Street Disclaimer Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Unterstützen Sie die Weltwoche mit nur einem Klick: https://www.youtube.com/@die.weltwoche?sub_confirmation=1 Und aktivieren Sie die Glocke, damit Sie keine Sendung mehr verpassen. So helfen Sie mit, unser Programm weiter auszubauen. Herzlichen Dank! ⭐️ Weltwoche daily ohne externe Video-Werbung geniessen? Werden Sie Abonnent! ▶️ https://weltwoche.de/abonnemente/ «Was du über Musk und Karp sagst, ist Bullshit»: Roger Köppel im Gespräch mit Wladimir Solowjow Kostenlos informiert:

Brad Karp, the longtime chairman of the elite Wall Street law firm Paul, Weiss, was forced to step down in early 2026 after newly released Justice Department files exposed a series of previously undisclosed interactions with Jeffrey Epstein. The documents showed that Karp had a personal relationship with Epstein that went beyond incidental contact, including attending private dinners at Epstein's residence and exchanging emails that reflected a notably friendly tone. In one instance, Karp thanked Epstein for an evening he described as “once in a lifetime,” and in another, he asked Epstein to help his son secure a role in a Woody Allen film. While Karp and his firm maintained that neither he nor Paul, Weiss ever represented Epstein professionally, the optics of those interactions—particularly given Epstein's 2008 conviction—triggered intense scrutiny.The fallout was swift and reputationally severe. Karp resigned not only from his role as chairman of Paul, Weiss after nearly two decades but also from external positions, including a college board seat, as the controversy widened. Additional disclosures suggested that his interactions with Epstein intersected with his professional orbit, particularly through his representation of Apollo Global Management and its co-founder Leon Black, a key Epstein associate. Emails also indicated that Karp at times engaged with Epstein on legal and strategic matters involving high-profile individuals, further blurring the line between personal and professional contact. Even though Karp expressed regret and framed the relationship as limited, the broader reaction reflected a growing intolerance for any post-conviction association with Epstein, especially among powerful institutional figures whose judgment is expected to be beyond reproach.to contact me:bobbycapucci@protonmail.comsource:https://www.ft.com/content/064e81a5-5e1b-4364-a581-9062868a3735?syn-25a6b1a6=1Become a supporter of this podcast: https://www.spreaker.com/podcast/the-epstein-chronicles--5003294/support.

An exclusive with Palantir CEO Alex Karp. On software valuations and how its technology is being used on the battlefield all over the world. Plus, he weighs in on Elon Musk and the SpaceX IPO. Then how investors should think about the pressure on chip stocks as the rotation away from some of the highest-flying tech stocks continues. Squawk on the Street Disclaimer Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Send us Fan MailWe break down how certain convenience store and gas station real estate investments can produce a massive first-year tax deduction using 100% bonus depreciation and fund-level leverage. We also map out who can use the losses, what returns can look like, and how to plan for depreciation recapture with smart exit options like DSTs and 1031 exchanges. • how C-stores can qualify for 100% bonus depreciation when gasoline revenue meets the threshold • why leverage inside the fund can turn $100,000 of equity into a much larger K-1 tax loss • how rental losses can offset passive real estate income and other passive income streams • when Real Estate Professional Status can open up active income and portfolio income planning • how failed 1031 exchanges and boot can be partially neutralized with the right loss strategy • what to expect in years two through exit, including projected hold periods and cash-on-cash returns • how depreciation recapture works and why rolling into a DST can help manage the tax hit • why DSTs can make sense for passive investors, debt replacement, and diversification by hold period The way to get a hold of me is first my email is Larry at 1031financial.com. The firm is 1031financial.com. And the way to get a hold of Lary directly is 516-350-2643. *Go to https://www.prosperlcpa.com/apply, and I will send you a personalized video illustrating what may be possible based on your situation. 

──────────────────────────────────────── [00:03:00] Today Is the 59th Anniversary of Israel's Attack on the USS Liberty — Thomas Massie Will Speak on the House Floor at Noon Massie: 34 sailors and Marines killed, over 100 injured in a sustained attack while the ship flew the American flag — multiple low-altitude passes is not mistaken identity. ──────────────────────────────────────── [00:12:00] Pentagon Raises Israel's Counterintelligence Threat to 'Critical' — Espionage Is 'Absolutely Unhinged' Says Senior Official The DIA issued a seven-page assessment citing specific incidents — US officials use burner phones and avoid speaking in hotel rooms when visiting their supposed top ally. ──────────────────────────────────────── [00:22:00] Jonathan Pollard Bragged on Camera That Israel Threatened the US With Nuclear Weapons in 1973 to Force the Arms Airlift Pollard: they parked a nuclear-armed plane at Tel Nof, told the US to look, and the airlift started the next day — then sold the stolen secrets to Russia for a prisoner swap. ──────────────────────────────────────── [00:35:00] Section 224 of the NDAA Would Fuse the US and Israeli Militaries — Republicans Killed Ro Khanna's Amendment to Strip It Khanna: Israel's GDP is smaller than a single town in his district, yet Netanyahu wrote to Congress requesting this section — only two Democrats joined him in opposing it. ──────────────────────────────────────── [00:50:00] Apple Is Moving iPhone 18 Engineering and Design to Israel — Its Cumulative Investment There Exceeds $45 Billion in 10 Years Knight: Apple is replacing Taiwanese TSMC with Israeli companies — forget engineering jobs in America; Israel will have backdoor access to every iPhone built. ──────────────────────────────────────── [01:02:00] Israeli Influence Operators Are Targeting AI 'Alignment' — Corporate Capture to Control What Chatbots Say About Israel A recorded briefing: go directly to AI companies and use their alignment process to make chatbots output approved narratives — 'correcting the digital world.' ──────────────────────────────────────── [01:15:00] The Karp AI Speech: 'Stop Pretending It's a Democracy — We Are the Ledger Now — Try to Unplug Us' Knight plays the AI-rendered Karp worldview alongside the Israeli AI influence briefing — the technological republic that owns every tax return is being handed to a foreign government. ──────────────────────────────────────── [01:25:00] Trump Stormed Out of His NBC Interview When Pressed on Whether J6ers Will See Any of the $1.776 Billion Slush Fund Knight: the fund was never about J6ers — Trump sued the IRS over his own tax exposure and created a fund he controls, managed by people he appoints who answer only to him. ──────────────────────────────────────── [01:38:00] Mike Johnson on March 5: 'We Are Not at War' — Thomas Massie on June 8: 'Three Months Later We Are Still at War' Massie retweeted Johnson's March speech calling the operation limited and nearly complete — Knight: we bombed a girls school and killed civilians; Johnson still calls it limited. ──────────────────────────────────────── [01:50:00] Trump Says He Wants Iran's Highly Enriched Uranium — Which He Also Said Was Entombed and No Threat for Months Knight: if the uranium is entombed, why are we still at war to retrieve it — Trump told Hannity it matters 'from a PR standpoint,' then told NBC he'd invade. Both cannot be true. ──────────────────────────────────────── Money should have intrinsic value AND transactional privacy: Go to https://davidknight.gold/ for great deals on physical gold/silver For 10% off Gerald Celente's prescient Trends Journal, go to https://trendsjournal.com/ and enter the code “KNIGHT” For high quality made in America products go to HomeSteadProducts.shop and use promo code “Knight” for 10% off your purchases Find out more about the show and where you can watch it at TheDavidKnightShow.com If you would like to support the show and our family please consider subscribing monthly here: SubscribeStar https://www.subscribestar.com/the-david-knight-show Or you can send a donation throughMail: David Knight POB 994 Kodak, TN 37764Zelle: @DavidKnightShow@protonmail.comCash App at: $davidknightshowBTC to: bc1qkuec29hkuye4xse9unh7nptvu3y9qmv24vanh7Become a supporter of this podcast: https://www.spreaker.com/podcast/the-david-knight-show--2653468/support.

──────────────────────────────────────── [00:03:00] Today Is the 59th Anniversary of Israel's Attack on the USS Liberty — Thomas Massie Will Speak on the House Floor at Noon Massie: 34 sailors and Marines killed, over 100 injured in a sustained attack while the ship flew the American flag — multiple low-altitude passes is not mistaken identity. ──────────────────────────────────────── [00:12:00] Pentagon Raises Israel's Counterintelligence Threat to 'Critical' — Espionage Is 'Absolutely Unhinged' Says Senior Official The DIA issued a seven-page assessment citing specific incidents — US officials use burner phones and avoid speaking in hotel rooms when visiting their supposed top ally. ──────────────────────────────────────── [00:22:00] Jonathan Pollard Bragged on Camera That Israel Threatened the US With Nuclear Weapons in 1973 to Force the Arms Airlift Pollard: they parked a nuclear-armed plane at Tel Nof, told the US to look, and the airlift started the next day — then sold the stolen secrets to Russia for a prisoner swap. ──────────────────────────────────────── [00:35:00] Section 224 of the NDAA Would Fuse the US and Israeli Militaries — Republicans Killed Ro Khanna's Amendment to Strip It Khanna: Israel's GDP is smaller than a single town in his district, yet Netanyahu wrote to Congress requesting this section — only two Democrats joined him in opposing it. ──────────────────────────────────────── [00:50:00] Apple Is Moving iPhone 18 Engineering and Design to Israel — Its Cumulative Investment There Exceeds $45 Billion in 10 Years Knight: Apple is replacing Taiwanese TSMC with Israeli companies — forget engineering jobs in America; Israel will have backdoor access to every iPhone built. ──────────────────────────────────────── [01:02:00] Israeli Influence Operators Are Targeting AI 'Alignment' — Corporate Capture to Control What Chatbots Say About Israel A recorded briefing: go directly to AI companies and use their alignment process to make chatbots output approved narratives — 'correcting the digital world.' ──────────────────────────────────────── [01:15:00] The Karp AI Speech: 'Stop Pretending It's a Democracy — We Are the Ledger Now — Try to Unplug Us' Knight plays the AI-rendered Karp worldview alongside the Israeli AI influence briefing — the technological republic that owns every tax return is being handed to a foreign government. ──────────────────────────────────────── [01:25:00] Trump Stormed Out of His NBC Interview When Pressed on Whether J6ers Will See Any of the $1.776 Billion Slush Fund Knight: the fund was never about J6ers — Trump sued the IRS over his own tax exposure and created a fund he controls, managed by people he appoints who answer only to him. ──────────────────────────────────────── [01:38:00] Mike Johnson on March 5: 'We Are Not at War' — Thomas Massie on June 8: 'Three Months Later We Are Still at War' Massie retweeted Johnson's March speech calling the operation limited and nearly complete — Knight: we bombed a girls school and killed civilians; Johnson still calls it limited. ──────────────────────────────────────── [01:50:00] Trump Says He Wants Iran's Highly Enriched Uranium — Which He Also Said Was Entombed and No Threat for Months Knight: if the uranium is entombed, why are we still at war to retrieve it — Trump told Hannity it matters 'from a PR standpoint,' then told NBC he'd invade. Both cannot be true. ──────────────────────────────────────── Money should have intrinsic value AND transactional privacy: Go to https://davidknight.gold/ for great deals on physical gold/silver For 10% off Gerald Celente's prescient Trends Journal, go to https://trendsjournal.com/ and enter the code “KNIGHT” For high quality made in America products go to HomeSteadProducts.shop and use promo code “Knight” for 10% off your purchases Find out more about the show and where you can watch it at TheDavidKnightShow.com If you would like to support the show and our family please consider subscribing monthly here: SubscribeStar https://www.subscribestar.com/the-david-knight-show Or you can send a donation throughMail: David Knight POB 994 Kodak, TN 37764Zelle: @DavidKnightShow@protonmail.comCash App at: $davidknightshowBTC to: bc1qkuec29hkuye4xse9unh7nptvu3y9qmv24vanh7Become a supporter of this podcast: https://www.spreaker.com/podcast/the-real-david-knight-show--5282736/support.

Kalamazoo noise rock duo Bronson Arm — Blake Bickel (baritone guitar/vocals) and Garrett Yates (drums) — stop by the studio in Appleton, Wisconsin for a wide-ranging conversation on Fox Cities Core, the weekly live interview show on WCZR Code Zero Radio, hosted by Andy McNamara. The band is on the road supporting their latest album Casket Schwagg (Learning Curve Records).In this interview, Blake and Garrett break down how two guys from opposite coasts ended up forming a powerhouse two-piece in Kalamazoo — meeting through their kids' school and a chance conversation at a brewery. Garrett opens up about a decade-long drumming hiatus while serving in the Navy on submarines, and how Blake immediately knew something special was there within the first 30 seconds of Garrett sitting back behind a kit. Blake reflects on his previous band The Great Goddamn in Seattle, his background in audio engineering and pedal-building, and his BFA in visual arts — which directly informs Bronson Arm's creative, concept-driven music videos.The conversation covers recording their self-titled debut in Blake's basement during COVID lockdown, the meaning behind the album title Casket Schwagg, their prolific music video output (including a burning couch, a karaoke dive bar, and a darker disclaimer-worthy clip), touring logistics as a DIY two-piece, playing to a click track live, and plans to take their sound to new territory on the next record. Plus — they're headed to Fest in Florida with 350 bands.Stick around for Ryan Fluke joining as a surprise co-host, comparisons to White Stripes, Black Keys, Sonic Youth, and Rage Against the Machine, and Blake revealing the KARP lyric behind the band name.Follow Bronson Arm:Website: bronsonarm.comInstagram: instagram.com/bronson_arm_noiseFacebook: facebook.com/bronsonarm.noise

EPISODE 164 | Walk Like a Panther: The Palantir 22-Point Manifesto A company many have heard mentioned but don't know much about caused a stir in the interwebs when its CEO dropped a 22-point manifesto of sorts. Many felt the whole thing smacked of some sort of comic book supervillain's shopping list, while others nodded their heads at the sage wisdom of the post of X (formerly Twitter). Palantir is the company and the poster was Alex Karp. But just what is Palantir and who is this Karp guy? Review us here or on IMDb. And seriously, subscribe, will ya? Like, just do it.  SECTIONS Five Guys - Nathan Gettings, Stephen Cohen, Alex Karp, Jon Lonsdale, Peter Thiel (the 130th richest country in the world) More Things in Heaven and Earth - Peter Thiel: a Randian Objectivist, a plutocratic reactionary, militarist techno-libertarian, or libertarian authoritarian; post-democracy, liquid democracy; Thiel's views and actions Know Your Product - What Palantir does and what they're worth, Gotham, Foundry, AIP, TITAN, MetaConstellation and MOSAIC, Skykits, Metropolis, ELITE; who uses this stuff, JP Morgan spies on employees  Manifesto - Alex Karp's 22-point summary of The Technological Republic: Hard Power, Soft Belief, and the Future of the West Music by Fanette Ronjat Follow us on social: Facebook X (Twitter) Other Podcasts by Derek DeWitt DIGITAL SIGNAGE DONE RIGHT - Winner of a Gold Quill Award, Gold MarCom Award, AVA Digital Award Gold, Silver Davey Award, and Communicator Award of Excellence, and on numerous top 10 podcast lists.  PRAGUE TIMES - A city is more than just a location - it's a kaleidoscope of history, places, people and trends. This podcast looks at Prague, in the center of Europe, from a number of perspectives, including what it is now, what is has been and where it's going. It's Prague THEN, Prague NOW, Prague LATER    

This episode is going out tonight, listener! Rachel Karp is a writer, producer, and lesbian bar expert who has been documenting the history of sapphic nightlife in America, but today she's in the sapphic space of Ashley's apartment — and we're doin' BODY SHOTS! We discuss lesbian history through the lens of queer bars, the characters and stories found in them, age-gap relationships, and kissing your wife for the first time at a queer sex party. Ashley realizes she can get head. Lizzy ponders queer vs. gay. SUPPORT RACHEL: Read “The Lesbian Bar Chronicles” right NOW: https://www.rachelbkarp.com/  Listen to her podcast, “Cruising,” wherever you listen: https://www.rachelbkarp.com/podcasts  Instagram: https://www.instagram.com/rachel.karp/  FOLLOW ASHLEY GAVIN @ashgavs TikTok: https://www.tiktok.com/@ashgavscomedy Instagram: https://www.instagram.com/ashgavs/ YouTube: https://www.youtube.com/@ashgavs Twitter: https://twitter.com/ashgavs Tour Dates & Newsletter: https://www.ashleygavin.com/#dates FOLLOW LIZZY CASSIDY @lizzycassidy TikTok: https://www.tiktok.com/@lizzycassidycomedy  Instagram: https://www.instagram.com/lizzycassidy/  Twitter: https://x.com/lizzaster  Tour Dates & Podcasts: https://linktr.ee/lizzycassidy  FOLLOW ALEX VRAHAS @alvrahas Mailing List: https://forms.gle/t48AUUEYzrNagU1B9  Instagram: https://www.instagram.com/alvrahas/   SUPPORT OUR PODCAST: Watch this UNCUT: https://www.patreon.com/WHGS Merch: https://shop.merchcentral.com/collections/ashley-gavin Watch on this YouTube: https://youtu.be/SutaDh61tpQ  ______________________________________________ SUPPORT OUR SPONSORS: FACTOR: Use code GAY50OFF to get 50% OFF + free daily greens at https://www.factormeals.com/gay50off  HERS: Get personalized and affordable care at https://www.forhers.com/gay Learn more about your ad choices. Visit podcastchoices.com/adchoices

This ep, we regret to inform you that we are discussing "The Technological Republic" by Alex Karp.Links:https://www.neondystopia.com/https://www.patreon.com/neondystopia/https://rss.com/podcasts/l0wl1f3podcast/https://youtube.com/@l0wl1f3pod?feature=shareddiscord.gg/M6fGZERb7Z

A new lawsuit filed in Manhattan Supreme Court accuses billionaire investor Leon Black — co-founder of Apollo Global Management — of conspiring with the late sex offender Jeffrey Epstein and former law firm chairman Brad Karp to target, intimidate, and “silence and destroy” women who accused Black of sexual abuse. According to the suit by Wigdor LLP, internal emails from the recent Department of Justice release show Epstein and Karp discussing tactics to retaliate against Russian model Guzel Ganieva, including strategies to have her arrested, deported, or have her visa revoked, as well as surveilling her movements and license plates. The complaint portrays the three men as coordinating efforts to undermine and discredit accusers rather than address the allegations on their merits.The lawsuit also highlights Black's history of filing counterclaims against his accusers' legal teams, alleging malicious prosecution and defamation — all of which were dismissed — and asserts that Black misused the legal system to intimidate and suppress women seeking accountability. Black's attorney called the claims meritless, and neither Karp nor representatives for the law firm Wigdor provided comment. The filing follows previous civil actions by women alleging sexual misconduct by Black, some of which were withdrawn or dismissed, and adds new allegations that Black's legal and personal strategy included coordinated retaliation with Epstein's involvement.to contact me:bobbycapucci@protonmail.comsource:Leon Black colluded with Jeffery Epstein, Brad Karp to attack accusersBecome a supporter of this podcast: https://www.spreaker.com/podcast/the-epstein-chronicles--5003294/support.

Start your morning with Buzzcast with Austin Karp: Josh Carpenter, Joe Lemire, and Alex Silverman join Karp for a full recap of the 2026 Sports Business Awards. The group also looks back the biggest takeaways from Tech Week and a preview of the SBJ Sports Media Podcast.  Sign up for SBJ 360, our free, daily newsletter. SBJ 360 delivers a concise, high-level overview of the most important stories shaping the sports industry. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Episode 622 of the Sports Media Podcast features two guests. First up is Al Michaels, the lead game-caller for Prime Video's football package since 2022 and an iconic figure in sports broadcasting. Michaels has called prime-time NFL football for the past 40 seasons. He is followed by Sports Business Journal media reporter Austin Karp. In this podcast, Michaels discusses Amazon's schedule this season; how he feels about the Lions at Bills opener and the number of times he has been on the call when a new NFL stadium has opened; Prime Video's very strong end of season schedule including Texans vs. Eagles on Christmas Eve in Philadelphia, followed by Ravens vs. Bengals in Cincinnati on New Year's Eve; what it's like to call games on Black Friday games; the NFL playing games in  London, Paris Madrid, Munich, Melbourne, Rio and Mexico City; his fondness for newspapers; watching the Montreal Canadiens in Montreal with Johnny Bench and Pete Rose; how he is approaching his career at this point and why he has happy to be on a year by year deal and more. Karp comes on to discuss the NFL schedule; what each of the networks said about their allotment of games; the NFL's post-schedule conference call with reporters and a shoutout to ESPN PR staffer Mac Nwulu. You can subscribe to this podcast on Apple Podcasts, Spotify and more. To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

This week we're talking about our favorite video game mini games! KARP! KARP! KARP!

In today's Cloud Wars Minute, I look at how Palantir's soaring growth reflects rising demand for disciplined, outcome-driven AI platforms. Highlights 00:03 — For the past several quarters, the fastest-growing company in the Cloud Wars Top 10 has been Palantir. It upheld that mark in Q1, and what I wanted to talk about today was their combination of extraordinary growth and also the rise from Palantir of a couple new terms to describe what's going on in AI right now. 00:30 — Palantir believes it's been successful because it is offering real solutions when other tech vendors — many other tech vendors, it says — are offering only incomplete portions of it. Total revenue was up 85% to $1.63 billion. If you take the U.S., which is both commercial and government or defense business, it's up 104% to $1.28 billion. 01:31 — Palantir has blown past its guidance in each of the last several quarters. Its big point about AI slop is that customers are wasting time and money with incomplete AI solutions that don't offer enough precision, enough rigor, enough discipline, so that every move that agents are making can be tracked with great specificity about cost, security, and ROI. 02:30 — Alexander Karp says there's a new category here that he thinks is more befitting of what Palantir does: AI infrastructure. These results are remarkable because it shows that what it is that Palantir is putting together, customers are loving. It's passed now 1,000 customers, and its customers are rapidly increasing the spending they're doing with them. 03:24 — Karp says business leaders have to start thinking differently about what they want out of AI and what a high-quality AI vendor is going to deliver for them. Palantir has been around for 23 years, and despite seeming like a startup company, it continues pushing forward on customer expectations and the value it's imparting to customers. Visit Cloud Wars for more.

Life isn't all smooth conversations and easy people. Sometimes it's messy, uncomfortable, and straight-up frustrating. In this episode, Erin sits down with former trial lawyer turned entrepreneur and conflict expert Gabe Karp to talk about how to handle tough situations without spiraling, avoiding, or blowing things up. Because here's the truth: conflict isn't the problem. How you handle it is. Gabe shares practical strategies to help you stay grounded, take control, and walk away without regret… even when the other person is making it hard. Here's what you'll hear:   -  Why there are always "two tokens" in every situation and how to choose wisely -The 5 traps that quietly sabotage your ability to handle conflict -A simple shift that helps you stay calm when things start going sideways -Gabe's least proud leadership moment and the lesson that stuck -The subtle behavior that might be holding others back (and you don't even realize it)   Website: GabeKarp.com LinkedIn: www.linkedin.com/in/gabe-karp-1b772a1b   Check out Gabe's TED Talk, How To Thrive With Difficult People:  https://youtu.be/ggOQg6uUV2M?si=nKviXwvHJkGgvLGk If you'd like quick tangible tips and practical corporate career advice to level up your authentic leadership, download the 10 simple "plays" to stop selling out and start standing out at https://bauthenticinc.mykajabi.com/freebie   To connect with Erin and/or Nicole, email: hello@bauthenticinc.com  If you like jammin' with us on the podcast, b sure to join us for more fun and inspiration!  Follow b Cause on Twitter (really it's mostly Nicole)   Follow Erin on LinkedIn or Instagram  Join the b Cause Podcast Facebook Group    Take our simple, fun and insightful"What's your workplace superhero name?"quiz  Unleash your Authentic Superpower with Erin's book,"You Do You (ish)" Check out our blog for more no-BS career advice Work with Us Or just buy some fun, authentic, kick-ars merch here DISCLAIMER: This episode is not explicit, though contains mild swearing that may be unsustainable for younger audiences. Tweetable Comments "Everyone knows what "better" looks like. They just don't know where to start." "When you really screw something up for a client, that is an opportunity to make the relationship stronger and better." "Mistakes are inevitable and a real true test of character is how we react once we recognize we've made a mistake." "You cannot drive growth and innovation without conflict." "What do you get out of being mad?"

California AG Bonta on how his office is advancing climate action; Michael Steinberger on the controversial tech firm Palantir and its chief executive Alex Karp; and actors from "The Play that Goes Wrong."

California AG Bonta on how his office is advancing climate action; Michael Steinberger on the controversial tech firm Palantir and its chief executive Alex Karp; and actors from "The Play that Goes Wrong."

Segui il percorso gratuito dell'Homo Faber ➤➤➤ http://cogitoacademy.it/homo-faber ⬇⬇⬇SOTTO TROVI INFORMAZIONI IMPORTANTI⬇⬇⬇ Abbonati per live e contenuti esclusivi ➤➤➤ https://bit.ly/memberdufer Leggi Daily Cogito su Substack ➤➤➤ https://dailycogito.substack.com/ I prossimi eventi dal vivo ➤➤➤ https://www.dailycogito.com/eventi Scopri la nostra scuola di filosofia ➤➤➤ https://www.cogitoacademy.it/ Racconta storie di successo con RISPIRA ➤➤➤ https://cogitoacademy.it/rispira/ Impara ad argomentare bene ➤➤➤ https://bit.ly/3Pgepqz Prendi in mano la tua vita grazie a PsicoStoici ➤➤➤ https://bit.ly/45JbmxX Tutti i miei libri ➤➤➤ https://www.dailycogito.com/libri/ Il nostro podcast è sostenuto da NordVPN ➤➤➤ https://nordvpn.com/dufer #rickdufer #palantir #peterthiel INSTAGRAM: https://instagram.com/rickdufer INSTAGRAM di Daily Cogito: https://instagram.com/dailycogito TELEGRAM: http://bit.ly/DuFerTelegram FACEBOOK: http://bit.ly/duferfb LINKEDIN: https://www.linkedin.com/pub/riccardo-dal-ferro/31/845/b14 -------------------------------------------------------------------------------------------- Chi sono io: https://www.dailycogito.com/rick-dufer/ -------------------------------------------------------------------------------------------- La musica della sigla è tratta da Epidemic Sound (author: Jules Gaia): https://epidemicsound.com/

Topman Alex Karp van Palantir houdt met hart en ziel van de oorlog die Trump in het Midden-Oosten heeft ontketend. Zijn bedrijf is hofleverancier van software aan het Pentagon, en scoort dus enorme inkomsten ermee. In de Verenigde Staten verdubbelde de omzet zelfs. En volgens Karp zit er nog veel meer in het vat. Die defensie-industrie moet de kern van Palantir worden. En hij voorspelt dat die omzetgroei nog lang zal aanhouden. Maar toch geloven beleggers hem niet en vluchten ze, weg van het aandeel. Waarom? Dat zoeken we in deze aflevering voor je uit. Verder hebben we het ook over luchtigere zaken. We kijken naar de blijdschap onder beleggers van bierbrouwer AB InBev. Het merk achter Stella Artois (het lekkerste pils ter wereld), Corona en Budweiser ziet dat hun bier vooral aanslaat in landen als Brazilië en Zuid-Afrika. Maar, ironisch genoeg, zit de grootste groei juist in alles dat minder met bier te maken heeft. Moet de brouwer zich in de toekomst dan maar op Radler en cocktails in blik gaan focussen? Je hoort ook nog over alweer een rechtszaak met Elon Musk. Of ja, hij weet eronderuit te komen. Dan doelen we op de zaak rondom de overname van Twitter. Musk zou de prijs van het aandeel beïnvloed hebben voorafgaand aan die overname. Maar hij hoeft daar nu maar een fractie van de mogelijke boete voor te betalen. We vertellen je ook nog over Apple, dat ervoor zorgt dat de koers van chipmaker Intel alweer een enorme zet krijgt. En over PayPal, waar beleggers juist minder blij worden. En dat allemaal door één enkele misser bij de kwartaalcijfers. Te gast: Robbert Manders van het Antaurus Europe Fund BNR Beurs is een journalistiek onafhankelijke productie, mede mogelijk gemaakt door Saxo. Over de makers: Jelle Maasbach is presentator van BNR Beurs en freelance financieel journalist. Zijn favoriete aandeel om over te praten is Disney, maar daar lijkt hij de enige in te zijn. Sinds de eerste uitzending van BNR Beurs is 'ie er bij. Maxim van Mil is presentator van BNR Beurs en journalist bij BNR, waar hij zich focust op de financiële markten en ontwikkelingen in de tech-wereld. Je krijgt hem het meest enthousiast als hij kan praten over ASML, of oer-Hollandse bedrijven zoals Ahold of ABN Amro. Jorik Simonides is presentator van BNR Beurs, economieredacteur en verslaggever bij BNR. Hij wordt er vooral blij van als het een keer níet over AI gaat. Milou Brand is presentator van BNR Beurs, freelance podcastmaker en columnist bij het Financieele Dagblad. Jochem Visser is presentator van BNR Beurs, maakt Beursnerd XL en is redacteur bij de podcast Onder Curatoren. Vraag hem naar obscure zaken op financiële markten en hij vertelt je waarom het eigenlijk nóg leuker is dan je al dacht. Over de podcast: Met BNR Beurs ga je altijd voorbereid de nieuwe beursdag in. We praten je in een kleine 25 minuten bij over alle laatste ontwikkelingen op de handelsvloer. We blijven niet alleen bij de AEX of Wall Street, maar vertellen je ook waar nog meer kansen liggen. En we houden het niet bij de cijfers, maar zoeken ook iedere dag voor je naar duiding van scherpe gasten en experts. Of je nu een ervaren belegger bent of net begint met je eerste stappen op de beurs, de podcast biedt waardevolle inzichten voor je beleggingsstrategie. Door de focus op zowel de korte termijn als de lange termijn, helpt BNR Beurs luisteraars om de ruis van de markt te scheiden van de essentie. Van Musk tot Microsoft en van Ahold tot ASML. Wij vertellen je wat beleggers bezighoudt, wie de markten in beweging zet en wat dat betekent voor jouw beleggingsportefeuille.See omnystudio.com/listener for privacy information.

──────────────────────────────────────── [00:02:52] Trump Wants to Rename ICE to "NICE" — Knight: Soviet-Style Propaganda, Not Satire Trump endorsed changing ICE to National Immigration Customs Enforcement so media would say "NICE agents" — Knight: Soviet-style propaganda, a substitute for achievements while the police state is built around us. ──────────────────────────────────────── [00:23:25] CS Lewis Invented the Acronym "NICE" in 1945 for His Totalitarian Villain Organization In That Hideous Strength, NICE stood for the National Institute for Coordinated Experiments — a front for dark supernatural forces dehumanizing people through technocratic means. Knight: somebody in the Trump orbit read CS Lewis. ──────────────────────────────────────── [00:34:21] 37 Corporate Donors Funding the $400M White House Bunker — Meta, Apple, Palantir, Lockheed Martin Among Them Fortune published the full list of 37 donors — nation's largest tech companies and defense contractors, all with pending business before the Trump administration. ──────────────────────────────────────── [00:36:29] AI-Generated Alex Karp Monologue: "We Aren't Here to Protect Privacy — We Are Here to Enforce Supremacy" Knight plays an AI rendering of Karp's manifesto: "Your civil liberties are a liability. We are the ledger. Every tax return, every license plate — your president signed it." Knight: a perfect summary of what they are building. ──────────────────────────────────────── [01:00:44] Leaving Neverland Director: Jackson Was Worse Than Jeffrey Epstein — The Film Was Legally Buried Director Dan Reed says Jackson was a serial child predator worse than Epstein — the HBO documentary was pulled after the Jackson estate invoked a 1992 non-disparagement clause in perpetuity. ──────────────────────────────────────── [01:03:14] Michael Jackson Paid $23 Million to His First Accuser — His Estate Has Been Paying Off Accusers Ever Since Jackson paid $23 million to 13-year-old Evan Chandler with a clause banning their names from any Jackson film — the new biopic had to be reshot once the clause was discovered. ──────────────────────────────────────── [01:16:19] Texas Democrat Running for Senate Claims God Is Non-Binary — Cites Paul Out of Context Seminarian James Talarico running for Senate in Texas claims the Apostle Paul declared God non-binary — Knight: Paul was talking about equal access to God across social classes, not erasing biological sex. ──────────────────────────────────────── [01:36:41] "The Story of Everything" — Three Scientific Discoveries That Point Back to a Creator Based on Stephen Meyer's Return of the God Hypothesis, the film covers three discoveries: the universe had a beginning, physical constants are fine-tuned for life, and biology runs on millions of lines of code. ──────────────────────────────────────── [01:49:29] Only 35% of Women Under 25 Have a Favorable View of Men — Down From 50% in Seven Years 72% of young men have a favorable view of young women — but only 35% of women under 25 reciprocate. Knight: recruited into loving themselves. ──────────────────────────────────────── [01:56:02] Brookings: 86% of AI Unemployment Will Be Women — Bureaucratic Middle Class About to Be Wiped Out Brookings estimates 6 million workers won't adapt, 86% women in clerical and government roles — Knight: sold a bill of goods that career matters more than marriage, children, and God. ──────────────────────────────────────── Money should have intrinsic value AND transactional privacy: Go to https://davidknight.gold/ for great deals on physical gold/silver For 10% off Gerald Celente's prescient Trends Journal, go to https://trendsjournal.com/ and enter the code “KNIGHT” For high quality made in America products go to HomeSteadProducts.shop and use promo code “Knight” for 10% off your purchases Find out more about the show and where you can watch it at TheDavidKnightShow.com If you would like to support the show and our family please consider subscribing monthly here: SubscribeStar https://www.subscribestar.com/the-david-knight-show Or you can send a donation throughMail: David Knight POB 994 Kodak, TN 37764Zelle: @DavidKnightShow@protonmail.comCash App at: $davidknightshowBTC to: bc1qkuec29hkuye4xse9unh7nptvu3y9qmv24vanh7Become a supporter of this podcast: https://www.spreaker.com/podcast/the-david-knight-show--2653468/support.

──────────────────────────────────────── [00:02:52] Trump Wants to Rename ICE to "NICE" — Knight: Soviet-Style Propaganda, Not Satire Trump endorsed changing ICE to National Immigration Customs Enforcement so media would say "NICE agents" — Knight: Soviet-style propaganda, a substitute for achievements while the police state is built around us. ──────────────────────────────────────── [00:23:25] CS Lewis Invented the Acronym "NICE" in 1945 for His Totalitarian Villain Organization In That Hideous Strength, NICE stood for the National Institute for Coordinated Experiments — a front for dark supernatural forces dehumanizing people through technocratic means. Knight: somebody in the Trump orbit read CS Lewis. ──────────────────────────────────────── [00:34:21] 37 Corporate Donors Funding the $400M White House Bunker — Meta, Apple, Palantir, Lockheed Martin Among Them Fortune published the full list of 37 donors — nation's largest tech companies and defense contractors, all with pending business before the Trump administration. ──────────────────────────────────────── [00:36:29] AI-Generated Alex Karp Monologue: "We Aren't Here to Protect Privacy — We Are Here to Enforce Supremacy" Knight plays an AI rendering of Karp's manifesto: "Your civil liberties are a liability. We are the ledger. Every tax return, every license plate — your president signed it." Knight: a perfect summary of what they are building. ──────────────────────────────────────── [01:00:44] Leaving Neverland Director: Jackson Was Worse Than Jeffrey Epstein — The Film Was Legally Buried Director Dan Reed says Jackson was a serial child predator worse than Epstein — the HBO documentary was pulled after the Jackson estate invoked a 1992 non-disparagement clause in perpetuity. ──────────────────────────────────────── [01:03:14] Michael Jackson Paid $23 Million to His First Accuser — His Estate Has Been Paying Off Accusers Ever Since Jackson paid $23 million to 13-year-old Evan Chandler with a clause banning their names from any Jackson film — the new biopic had to be reshot once the clause was discovered. ──────────────────────────────────────── [01:16:19] Texas Democrat Running for Senate Claims God Is Non-Binary — Cites Paul Out of Context Seminarian James Talarico running for Senate in Texas claims the Apostle Paul declared God non-binary — Knight: Paul was talking about equal access to God across social classes, not erasing biological sex. ──────────────────────────────────────── [01:36:41] "The Story of Everything" — Three Scientific Discoveries That Point Back to a Creator Based on Stephen Meyer's Return of the God Hypothesis, the film covers three discoveries: the universe had a beginning, physical constants are fine-tuned for life, and biology runs on millions of lines of code. ──────────────────────────────────────── [01:49:29] Only 35% of Women Under 25 Have a Favorable View of Men — Down From 50% in Seven Years 72% of young men have a favorable view of young women — but only 35% of women under 25 reciprocate. Knight: recruited into loving themselves. ──────────────────────────────────────── [01:56:02] Brookings: 86% of AI Unemployment Will Be Women — Bureaucratic Middle Class About to Be Wiped Out Brookings estimates 6 million workers won't adapt, 86% women in clerical and government roles — Knight: sold a bill of goods that career matters more than marriage, children, and God. ──────────────────────────────────────── Money should have intrinsic value AND transactional privacy: Go to https://davidknight.gold/ for great deals on physical gold/silver For 10% off Gerald Celente's prescient Trends Journal, go to https://trendsjournal.com/ and enter the code “KNIGHT” For high quality made in America products go to HomeSteadProducts.shop and use promo code “Knight” for 10% off your purchases Find out more about the show and where you can watch it at TheDavidKnightShow.com If you would like to support the show and our family please consider subscribing monthly here: SubscribeStar https://www.subscribestar.com/the-david-knight-show Or you can send a donation throughMail: David Knight POB 994 Kodak, TN 37764Zelle: @DavidKnightShow@protonmail.comCash App at: $davidknightshowBTC to: bc1qkuec29hkuye4xse9unh7nptvu3y9qmv24vanh7Become a supporter of this podcast: https://www.spreaker.com/podcast/the-real-david-knight-show--5282736/support.

In this edition of The Technological Trendpublic, Jack and special guest co-host Blake Wexler discuss their respective weekends, the US seizing an Iranian ship, Alex Karp's weird manifesto, the whole tariff refund situ, China winning the robot wars… again, a quick box office update and much more!See omnystudio.com/listener for privacy information.

Start your morning with Buzzcast with Joe Lemire, Austin Karp, and Chris Smith: The latest on the future of LIV Golf and how quickly we could see a finalization of the San Diego Padres sale. Also, the group discusses their biggest takeaways from Day 2 of CAA World Congress of Sports. Finally, Lemire, Karp and Smith lay out their key theme from World Congress of Sports. Sign up for SBJ 360, our free, daily newsletter. SBJ 360 delivers a concise, high-level overview of the most important stories shaping the sports industry. Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.

Judge Jeffrey Karp renders his verdict in the Kelsey Fitzsimmons trial.The Kelsey Fitzsimmons trial is underway in Essex Superior Court in Massachusetts. Fitzsimmons, a North Andover police officer, is charged with assault with a dangerous weapon after allegedly pointing her service weapon at fellow officer Patrick Noonan during a restraining order service at her home in June 2025. Prosecutors say she raised the gun at Noonan and pulled the trigger — the gun did not fire because there was no round in the chamber. The defense maintains Fitzsimmons was in the grip of a postpartum mental health crisis and the gun was turned on herself, not on Noonan. She has waived her right to a jury, leaving her fate entirely in the hands of Judge Jeffrey Karp.True Crime Today delivers real-time trial coverage as it happens — key testimony, critical cross-examinations, and the moments that matter. No waiting for nightly recaps. Watch the case unfold live.Join Our SubStack For AD-FREE ADVANCE EPISODES & EXTRAS!: https://hiddenkillers.substack.com/ Want to comment and watch this podcast as a video? Check out our YouTube Channel. https://www.youtube.com/channel/UC8-vxmbhTxxG10sO1izODJg?sub_confirmation=1 Instagram https://www.instagram.com/hiddenkillerspod/ Facebook https://www.facebook.com/hiddenkillerspod/ Tik-Tok https://www.tiktok.com/@hiddenkillerspod X Twitter https://x.com/TrueCrimePodThis publication contains commentary and opinion based on publicly available information. All individuals are presumed innocent until proven guilty in a court of law. Nothing published here should be taken as a statement of fact, health or legal advice.#KelseyFitzsimmons #KelseyFitzsimmonsTrial #TrueCrimeToday #LiveTrial #NorthAndoverPolice #MassachusettsCourt #TrueCrimeNews #CourtTV #TrialWatch #BreakingCrime

Judge Jeffrey Karp renders his verdict in the Kelsey Fitzsimmons trial.Kelsey Fitzsimmons, a 29-year-old North Andover police officer, stands accused of assault with a dangerous weapon — charged with pointing her service weapon at a fellow officer inside her own home. What prosecutors describe as a calculated attempt to shoot Officer Patrick Noonan, the defense calls a mental health crisis: a woman suffering from severe postpartum depression who turned the gun on herself, not on him.This is gavel-to-gavel coverage of one of the most polarizing trials in Massachusetts in recent memory. A police officer. A restraining order served by colleagues. A four-month-old baby in the home. And two completely opposite stories about what happened in that upstairs bedroom — with only a failed trigger pull standing between the truth and a tragedy far worse.Hidden Killers brings you complete trial coverage with expert analysis — no sensationalism, just the facts as they unfold.Join Our SubStack For AD-FREE ADVANCE EPISODES & EXTRAS!: https://hiddenkillers.substack.com/ Want to comment and watch this podcast as a video? Check out our YouTube Channel. https://www.youtube.com/channel/UC8-vxmbhTxxG10sO1izODJg?sub_confirmation=1 Instagram https://www.instagram.com/hiddenkillerspod/ Facebook https://www.facebook.com/hiddenkillerspod/ Tik-Tok https://www.tiktok.com/@hiddenkillerspod X Twitter https://x.com/TrueCrimePodThis publication contains commentary and opinion based on publicly available information. All individuals are presumed innocent until proven guilty in a court of law. Nothing published here should be taken as a statement of fact, health or legal advice.#KelseyFitzsimmons #KelseyFitzsimmonsTrial #NorthAndoverPolice #MassachusettsTrial #TrueCrime #HiddenKillers #CopOnCopShooting #BenchTrial #TrueCrimeCommunity #Justice

It's an Emmajority Report Thursday on The Majority Report   On today's program:   Palantir CEO Alex Karp is going out to promote Trump's war in Iran which I'm sure has nothing to do with his technology being heavily integrated into the operations. Karp also tries to appeal to MAGA men by claiming that the AI revolution will disempower highly educated women and empower working class men.   Murtaza Hussain, journalist at Drop Site News join Emma for a conversation about the most recent updates in the war in Iran.   In the Fun Half:   Brandon Sutton and Matt Binder join Emma.   Ed Gallrein, the Trump approved candidate primarying Thomas Massie joins the president onstage at a rally in Hebron, Kentucky.   Joe Rogan just realized the Donald Trump is old.   A former employee of Elon Musk's DOGE fails to define DEI but knows that a documentary about woman who were killed in the holocaust is DEI.   Bill Maher and Sam Harris have a conversation about the "rise of antisemitism" over the last 3 years and how Trump is the best friend Israel has ever had.   all that and more   To connect and organize with your local ICE rapid response team visit ICERRT.com The Congress switchboard number is (202) 224-3121. You can use this number to connect with either the U.S. Senate or the House of Representatives. Follow us on TikTok here: https://www.tiktok.com/@majorityreportfm Check us out on Twitch here: https://www.twitch.tv/themajorityreport Find our Rumble stream here: https://rumble.com/user/majorityreport Check out our alt YouTube channel here: https://www.youtube.com/majorityreportlive Gift a Majority Report subscription here: https://fans.fm/majority/gift Subscribe to the AMQuickie newsletter here: https://am-quickie.ghost.io/ Join the Majority Report Discord! https://majoritydiscord.com/ Get all your MR merch at our store: https://shop.majorityreportradio.com/ Get the free Majority Report App!: https://majority.fm/app Go to https://JustCoffee.coop and use coupon code majority to get 10% off your purchase Check out today's sponsors: SELECT QUOTE: Get the right life insurance for you and save more than 50% on term life insurance at SelectQuote.com/MAJORITY ZOCDOC: Go to Zocdoc.com/MAJORITY and download the Zocdoc app to sign-up for FREE and book a top-rated doctorTY SUNSET LAKE:  Head on over to SunsetLakeCBD.com and use coupon code "Left Is Best" (all one word) for 20% off of your entire order. Follow the Majority Report crew on Twitter: @SamSeder @EmmaVigeland @MattLech On Instagram: @MrBryanVokey Check out Matt's show, Left Reckoning, on YouTube, and subscribe on Patreon! https://www.patreon.com/leftreckoning Check out Matt Binder's YouTube channel: https://www.youtube.com/mattbinder Subscribe to Brandon's show The Discourse on Patreon! https://www.patreon.com/ExpandTheDiscourse Check out Ava Raiza's music here! https://avaraiza.bandcamp.com

This conversation with Alex Karp, cofounder and CEO of Palantir, was recorded at the a16z American Dynamism Summit in Washington, D.C. Karp discusses the role of technology in modern warfare, Silicon Valley's obligations to national defense, and why he believes America's single greatest competitive advantage is its ability to cultivate and protect unconventional talent.     Stay Updated:Find a16z on YouTube: YouTubeFind a16z on XFind a16z on LinkedInListen to the a16z Show on SpotifyListen to the a16z Show on Apple PodcastsFollow our host: https://twitter.com/eriktorenberg Please note that the content here is for informational purposes only; should NOT be taken as legal, business, tax, or investment advice or be used to evaluate any investment or security; and is not directed at any investors or potential investors in any a16z fund. a16z and its affiliates may maintain investments in the companies discussed. For more details please see a16z.com/disclosures. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode, Jimmy covers Palantir CEO Alex Karp. He has gained a reputation for "unhinged" behavior through his eccentric, high-energy public appearances and provocative statements, such as animatedly ranting in interviews about making enemies "scared" for safety, boasting that Palantir helps the West "scare enemies and, on occasion, kill them," fantasizing about drones spraying fentanyl-laced urine on critical analysts as a "lower purpose" for revenge, and displaying restless, fidgety mannerisms that went viral. Plus segments on how NYU tried to silence Professor Mark Crispin Miller, Tucker reveals "Supra Government" who really runs the world, and Thomas Massie on the real reasons why trump wants Venezuela and Greenland.  Also featuring Mark Crispin Miller, Thomas Massie, Stef Zamorano, and Kurt Metzger