Podcasts about Axon

────────────────────────────────────────[00:01:22]Fauci Is to the Pandemic What Flock Is to the Surveillance State — a Safe Lightning Rod That Covers the SystemAttacking Fauci gives cover to institutional corruption; attacking Flock gives cover to Axon, which plans 60 million units; the forest is always bigger than the tree.────────────────────────────────────────[00:04:32]Lindsey Graham on Camera: Trump Loves Blowing Stuff Up — First Thing He Blew Up Was a School Full of KidsCaptured by his own film crew; Graham cackles about it; Knight: the same pro-life Christians cheering the slaughter of Palestinian children call themselves pro-life.────────────────────────────────────────[00:09:17]Graham on Phone With Netanyahu: Who Are We Gonna Kill Next — We're Gonna Kill EverybodyGraham tells Netanyahu he's meeting Trump to push Lebanon; Netanyahu says do it later; the synagogue of Satan, right there.────────────────────────────────────────[00:11:56]67-Point Swing in Eight Years — Israel's Net Favorability Collapsed From Plus 51 to Minus 16Every major poll now negative: Ipsos minus 10, Fox minus 11, Marquette minus 20, Pew minus 23; reality has caught up to narrative and overtaken it.────────────────────────────────────────[00:19:55]Pentagon Bifurcated the Iran War Into Two Separate Operations to Minimize Casualty NumbersMore than 600 total casualties; 482 wounded and 18 dead in one operation, 400+ wounded and 14 dead in the other; Knight: this is what liars do.────────────────────────────────────────[00:41:17]IDF Trained US Border Patrol and ICE Before 9-11 — Greg Bovino Admits It on CameraBovino said the training was excellent and they did not mess around; Knight: they have no moral compunction; that is exactly what we now see from ICE.────────────────────────────────────────[00:54:05]Robert Pape: Iran Is Stronger Today Than Before the War — We Are on the Titanic About to Hit the IcebergPape has modeled Iran bombing for 20 years and advised every White House from 2001 to 2024; he puts the probability of a ground invasion at 70%.────────────────────────────────────────[01:19:52]Trump Posts AI Slop Memes While His Ambassador Admits Strikes Have Been PausedWaltz told Fox the pause is to give talks space; Knight: we're running out of oil and defensive missiles; the memes are there to make him look tough.────────────────────────────────────────[01:50:13]Excess Deaths Peaked at 31% Above Normal in 2021 — Swiss Re Says Elevated Mortality Persists Through at Least 2030The peak was not 2020 when COVID arrived but 2021 when the vaccine rolled out; anyone who looks at that date should immediately see what caused it.────────────────────────────────────────[01:56:23]John Stossel Is Pushing Driverless Cars Using the Same Arguments as Gun ControlHe argues human drivers are too dangerous; Knight: DARPA's first project was self-driving vehicles; taking the car away removes the only escape vehicle we had during COVID lockdowns. ──────────────────────────────────────── 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.

────────────────────────────────────────[00:01:22]Fauci Is to the Pandemic What Flock Is to the Surveillance State — a Safe Lightning Rod That Covers the SystemAttacking Fauci gives cover to institutional corruption; attacking Flock gives cover to Axon, which plans 60 million units; the forest is always bigger than the tree.────────────────────────────────────────[00:04:32]Lindsey Graham on Camera: Trump Loves Blowing Stuff Up — First Thing He Blew Up Was a School Full of KidsCaptured by his own film crew; Graham cackles about it; Knight: the same pro-life Christians cheering the slaughter of Palestinian children call themselves pro-life.────────────────────────────────────────[00:09:17]Graham on Phone With Netanyahu: Who Are We Gonna Kill Next — We're Gonna Kill EverybodyGraham tells Netanyahu he's meeting Trump to push Lebanon; Netanyahu says do it later; the synagogue of Satan, right there.────────────────────────────────────────[00:11:56]67-Point Swing in Eight Years — Israel's Net Favorability Collapsed From Plus 51 to Minus 16Every major poll now negative: Ipsos minus 10, Fox minus 11, Marquette minus 20, Pew minus 23; reality has caught up to narrative and overtaken it.────────────────────────────────────────[00:19:55]Pentagon Bifurcated the Iran War Into Two Separate Operations to Minimize Casualty NumbersMore than 600 total casualties; 482 wounded and 18 dead in one operation, 400+ wounded and 14 dead in the other; Knight: this is what liars do.────────────────────────────────────────[00:41:17]IDF Trained US Border Patrol and ICE Before 9-11 — Greg Bovino Admits It on CameraBovino said the training was excellent and they did not mess around; Knight: they have no moral compunction; that is exactly what we now see from ICE.────────────────────────────────────────[00:54:05]Robert Pape: Iran Is Stronger Today Than Before the War — We Are on the Titanic About to Hit the IcebergPape has modeled Iran bombing for 20 years and advised every White House from 2001 to 2024; he puts the probability of a ground invasion at 70%.────────────────────────────────────────[01:19:52]Trump Posts AI Slop Memes While His Ambassador Admits Strikes Have Been PausedWaltz told Fox the pause is to give talks space; Knight: we're running out of oil and defensive missiles; the memes are there to make him look tough.────────────────────────────────────────[01:50:13]Excess Deaths Peaked at 31% Above Normal in 2021 — Swiss Re Says Elevated Mortality Persists Through at Least 2030The peak was not 2020 when COVID arrived but 2021 when the vaccine rolled out; anyone who looks at that date should immediately see what caused it.────────────────────────────────────────[01:56:23]John Stossel Is Pushing Driverless Cars Using the Same Arguments as Gun ControlHe argues human drivers are too dangerous; Knight: DARPA's first project was self-driving vehicles; taking the car away removes the only escape vehicle we had during COVID lockdowns. ──────────────────────────────────────── 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.

Listen/Watch the FULL EPISODE ad-free/early on Substack: https://coffeeandamike.substack.com/ Dave Collum is a professor of organic chemistry from Cornell University. He joins joins LTC Steven Murray to discuss Flock cameras, Axon, Charlie Kirk, Epstein, AZ elections, and much more. PLEASE SUBSCRIBE LIKE AND SHARE THIS PODCAST!!!    Follow Me X- https://x.com/CoffeeandaMike IG- https://www.instagram.com/coffeeandamike/ Facebook- https://www.facebook.com/CoffeeandaMike/ YouTube- https://www.youtube.com/@Coffeeandamike Rumble- https://rumble.com/search/all?q=coffee%20and%20a%20mike Substack- https://coffeeandamike.substack.com/ Apple Podcasts- https://podcasts.apple.com/us/podcast/coffee-and-a-mike/id1436799008 Gab- https://gab.com/CoffeeandaMike Locals- https://coffeeandamike.locals.com/ Website- www.coffeeandamike.com Email- info@coffeeandamike.com   Support My Work Venmo- https://www.venmo.com/u/coffeeandamike Paypal- https://www.paypal.com/biz/profile/Coffeeandamike Substack- https://coffeeandamike.substack.com/ Patreon- http://patreon.com/coffeeandamike Locals- https://coffeeandamike.locals.com/ Cash App- https://cash.app/$coffeeandamike Buy Me a Coffee- https://buymeacoffee.com/coffeeandamike Bitcoin- coffeeandamike@strike.me   Mail Check or Money Order- Coffee and a Mike LLC P.O. Box 25383 Scottsdale, AZ 85255-9998   Follow Dave X- https://x.com/DavidBCollum   Follow Steve X- https://x.com/Ltc_Steven_Mur Substack- https://substack.com/@thepathforward25 YouTube- https://www.youtube.com/@ThePathForward25 Rumble- https://rumble.com/c/LTCStevenMurray   Sponsors Vaulted/Precious Metals- https://vaulted.blbvux.net/coffeeandamike McAlvany Precious Metals- https://mcalvany.com/coffeeandamike/

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

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

While Spencer is busy in Boston, we're diving back into the Dear Prudie mines. Join Spencer, Ty, and Andy as they help some folks out with advice on the proper way to leave a child in a hot car, what to do when your ex is a predator, and the ethics of helping out your dead husband's mistress. Support us on Patreon for $5, $7, or $10: www.patreon.com/tgofv. TGOFV Theme by World Record Pace. A big shout-out to our $10/month patrons: Celeste, Yung Zoe, Dane Stephen, Weedworf, James Lloyd-Jones, Sam Thomas, Josh O'Brien, Kilo, David, Sam, T, Rach, Tomix, Adam W, L M, Revidicism, Jennifer Knowles, Jeremy-Alice, Louis Ceresa, Charles Doyle, Dean, Axon, Themandme, Raouldyke, Stephen Tucker, Lawrence, Rebecca Kimpel, Malek Douglas, Jacon Sauber-Cavazos, Bernventers, William Copping, NewmansOwn, Heather-Pleather, Bunknown, Dinosarden, Bedi, Francis Wolf, King Krang, Anthony C, ASDF, Buffoonworld, Bavbiff, D Love, and Tugboat!

Pokémon Go removed the paywall from its biggest event of the year and made more money than any paid version in half a decade. That's the monetization masterclass of the week — and it's just one of five stories that matter.Matej Lančarič flies solo for the news segment, and it's a heavy week. Pokémon Go hit its 10th anniversary with over $9B in lifetime revenue, then ran GoFest 2026 as its first-ever free, no-ticket event — triggering a $15.1M single day, the game's highest in five years, and a 17-position leap to #2 in monthly revenue. Love and Deepspace is unfolding into the most instructive disaster of the year, with a cancelled love interest, a 230,000-signature petition, funeral flowers and cow dung sent to the studio, and a pulled Bilibili World appearance. Microsoft cut 4,800 jobs with Xbox facing roughly 3,200 over the next year — about 20% of the division — with King in the blast radius and a memo admitting the business "is not healthy" at ~3% margin. AppLovin opened Axon to global self-serve and the stock ripped from the mid-$440s to $564 in two weeks. And Meta shipped Muse image plus new AI-ad labeling that puts a visible tag right next to "Sponsored" if your creative features a photorealistic AI person.Five stories, one theme: the old assumptions about paywalls, scale, and trust are all breaking at once.━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━⏱️ TIMESTAMPS00:00 Cold open 00:30 Pokémon Go's free GoFest monetization masterclass02:30 The Love and Deepspace catastrophe05:00 Xbox cuts 3,200 — King in the blast radius07:00 AppLovin opens Axon to self-serve08:30 Meta's Muse image and the new AI ad labels10:00 Quick hits — UK job losses, Netmarble takes 40% of WeMade━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

In der heutigen Folge sprechen die Finanzjournalisten Nando Sommerfeldt und Holger Zschäpitz über eine neue Tonlage bei VW, die Folgen der Gesundheitsreform und was sonst noch wichtig wird in dieser Woche. Außerdem geht es um EasyJet, Apollo Global, IAG, Air France-KLM, Brink's, NCR Atleos, T. Rowe Price, Aurora Innovation, FedEx, Volvo, Ascendis Pharma, MoonLake Immunotherapeutics, Dyne Therapeutics, Vaxcyte, Cytokinetics, CG Oncology, Denali Therapeutics, AbbVie, Apogee Therapeutics, Bending Spoons, Mattel, Scotts Miracle-Gro, Goldman Sachs, Bank of America, JPMorgan, Citigroup, Wells Fargo, Morgan Stanley, BlackRock, ASML, TSMC, Netflix, ABB, Abbott, GE Aerospace, Intuitive Surgical, UnitedHealth, Alcoa, United Airlines, BHP, Fraport, Fastenal, Altria, Nvidia, Coca-Cola, Apple, Microsoft, Alphabet, Amazon, Broadcom, Vulcan Materials, Kansas City Southern, IBM, General Dynamics, Hershey, Tootsie Roll, Axon, Tesla, SPDR MSCI ACWI IMI (WKN: A1JJTD), iShares Edge MSCI World Momentum Factor ETF (WKN: A12ATF). Wir freuen uns an Feedback über aaa@welt.de. Noch mehr "Alles auf Aktien" findet Ihr bei WELTplus und Apple Podcasts – inklusive aller Artikel der Hosts. Hier bei WELT: https://www.welt.de/podcasts/alles-auf-aktien/plus247399208/Boersen-Podcast-AAA-Bonus-Folgen-Jede-Woche-noch-mehr-Antworten-auf-Eure-Boersen-Fragen.html. Hier könnt ihr den AAA-Newsletter abonnieren: https://www.welt.de/newsletter/article232797673/Alles-auf-Aktien-Der-taegliche-Boersen-Newsletter-fuer-WELTplus-Abonnenten.html Und – ganz neu: AAA gibt es jetzt auch auf Instagram: https://www.instagram.com/alles_auf_aktien/ Disclaimer: Die im Podcast besprochenen Aktien und Fonds stellen keine spezifischen Kauf- oder Anlage-Empfehlungen dar. Die Moderatoren und der Verlag haften nicht für etwaige Verluste, die aufgrund der Umsetzung der Gedanken oder Ideen entstehen. Hörtipps: Für alle, die noch mehr wissen wollen: Holger Zschäpitz können Sie jede Woche im Finanz- und Wirtschaftspodcast "Deffner&Zschäpitz" hören. +++ Werbung +++ Du möchtest mehr über unsere Werbepartner erfahren? Hier findest du alle Infos & Rabatte! https://linktr.ee/alles_auf_aktien Anzeige: Diese Folge enthält Werbung für Smartbroker+. Depot eröffnen, 30 € ETF als Bonus sichern und aus tausenden ETFs wählen. Smartbroker+ macht Investieren einfach. Alle Informationen gibt es unter: https://get.smartbrokerplus.de/triple-aaa-podcast2/ Anzeige: Eight Sleep: Der Pod 5 reguliert die Temperatur im Bett automatisch, trackt Schlaf- und Gesundheitswerte ohne Wearable und kann so zu besserem Schlaf beitragen. Mit dem Code ALLESAUFAKTIEN erhaltet ihr auf https://www.eightsleep.com/allesaufaktien bis zu 350 Euro Rabatt. Impressum: https://www.welt.de/services/article7893735/Impressum.html Datenschutz: https://www.welt.de/services/article157550705/Datenschutzerklaerung-WELT-DIGITAL.html

Ban, Backlash and Big Tech: Australia's Bold Battle for Better Behaviour.  Robot Revolution: Rapid Robotic Restorations for Dental Crowns.  Phone Pull or Powerful Pullback: Tackling Tech's Toughest Temptation.  Password Perils: The Chatbot Sharing Slip-Up.  Silicon Sprint: China's Supercomputer Surges Ahead.  NanoStack Next: Building Better Brains Beyond the Billion Barrier.  Proteus Progress: Amazon's Autonomous Automation Accelerates.  Gummy Guilt: Wobbly Wonders and the Weirdness of What We'll Eat.  Policing Powered by Prediction: AI, Axon and the Future of Frontline Force. 

Happy Fourth of July to all of the Americans all over the world. Join Spencer, Ty, and Andy as they rank historical figures from all over time and space with no thought pad to any cultural or historical context. We're mostly doing it off of vibes. Yep, it's pretty much entirely vibes-based. Support us on Patreon for $5, $7, or $10: www.patreon.com/tgofv. TGOFV Theme by World Record Pace. A big shout-out to our $10/month patrons: Celeste, Yung Zoe, Dane Stephen, Weedworf, James Lloyd-Jones, Sam Thomas, Josh O'Brien, Kilo, David, Sam, T, Rach, Tomix, Adam W, L M, Revidicism, Jennifer Knowles, Jeremy-Alice, Louis Ceresa, Charles Doyle, Dean, Axon, Themandme, Raouldyke, Stephen Tucker, Lawrence, Rebecca Kimpel, Malek Douglas, Jacon Sauber-Cavazos, Bernventers, William Copping, NewmansOwn, Heather-Pleather, Bunknown, Dinosarden, Bedi, Francis Wolf, King Krang, Anthony C, ASDF, Buffoonworld, Bavbiff, D Love, and Tugboat!

Ep. 267: Harvard Golf and playing at Whisper Rock alongside Jon Rahm, Wyndham Clark, and Max Homa shaped Josh Isner's understanding of what winning really requires — and it shows in how he leads one of the most competitive companies in America. Axon is the $45 billion public safety company behind body cameras and life-saving technology protecting law enforcement and first responders across the country.  In this episode, you will learn: Why the best mentors are never assigned — and how Luke Larson, a Marine Corps officer just one year ahead of Josh at Axon, chose to invest in him and deliver the one line that transformed his leadership: "It's not what you say — it's what they hear." How the advice, "It's not what you say; it's what they hear," reshaped the way he communicates, coaches, and leads. How playing alongside the world's top golfers at Whisper Rock revealed the mindset shift that separates good from great — and how Josh applied it to his leadership. Download a free chapter of Don Yaeger's new book on mastering The Business of Storytelling Do you want to write a book? In my new role as Publisher at Forbes Books and with the incredible resources and expertise of their team, we're making it easier than ever to help YOU to tell your story. Send us a message here to get started: https://books.forbes.com/don/  Looking for a speaker for your next event? From more than 30 years of interviewing and studying the greatest winners of all time Don offers these live and virtual presentations built to inspire your team towards personal and professional greatness.  Special thanks to Lilly Mae Stewart and Abbie Brandt for making this episode possible.

News: Futbol @3:38 Balogun birthright citizenship: ‘Asinine observation' Trump's disaster July 4th fireworks @11:42 Trump's account bought up to $5M in Taser maker Axon @17:22 Trump Pulled In at Least $2 Billion After Returning to the White House @21:21 Nearly a Million Investors Lost a Total of $3.8 Billion on Trump Crypto Coin Mitch @26:59 Former Olympian David Hearn indicted for allegedly vandalising reflecting pool @31:23 How's all that Peace going? @35:05 Politics: Violence required. @40:33 Democrats Want Platner Gone. @46:14 The Democratic Insurgency Just Took Out A Major Democrat's Bid For Governor @55:13 CO Clemency Board @57:58 F.B.I. Assigns Scores of Analysts to Examine Election Records in Georgia @1:03:20 Trump Targets Not Just Georgia's Vote, but Also Trust in Elections Ken Paxton @1:04:56 Republicans Are Trying to Revive the SAVE Act Yet Again @1:05:45 Ron DeSantis' mocks Rep. Hakeem Jeffries with racist impression @1:09:51 Farage Resigns and Says He Will Run Again in Special Election @1:11:06

In this episode of The Product Podcast by Product School, Carlos González de Villaumbrosia sits down with Jeff Kunins, Chief Product Officer and Chief Technology Officer at Axon, the company that created the Taser and the body cameras federal agencies wear. Axon ingests more video per year than YouTube, and with a market cap of approximately $32.9 billion and $2.78 billion in revenue, growing 33% year over year, it is one of the highest-growth companies in the S&P 500. What you'll learn:How law enforcement agencies are using AI inside body cameras and Tasers to save lives, not just hit metrics.Why Axon declared a public moratorium on facial recognition AI for six years and what finally changed.How Axon embeds external activists and researchers directly into product manager squads as a design input, not a compliance process.Building first-party AI models for real-time license plate detection while using foundation LLMs for everything else.Key takeaways:Axon created the Taser and the body cam, and now ingests more video per year than YouTube. Most people have never heard of them.Build only what you must to be differentiated. Everything else, license from the best available source.Ethics review is not a compliance burden. When embedded in the product lifecycle, external critics help you see around corners and design better products.Credits:Host: Carlos Gonzalez de VillaumbrosiaGuest: Jeff KuninsSocial Links:Find out more about Product School hereFollow our Podcast on TikTok hereFollow Product School on LinkedIn here

Wo liegen bei Künstlicher Intelligenz echten Chancen und wo lauern Risiken - auch für Anleger? Eine Einschätzung dazu gibt es von Florian Söllner, leitender Redakteur bei DER AKTIONÄR und Autor des Hot Stock Reports. Hinweis auf Interessenkonflikte: Der Vorstand und Mehrheitsinhaber der Herausgeberin Börsenmedien AG, Herr Bernd Förtsch, ist unmittelbar und mittelbar Positionen über die in der Publikation angesprochenen nachfolgenden Finanzinstrumente oder hierauf bezogene Derivate eingegangen, die von der durch die Publikation etwaig resultierenden Kursentwicklung profitieren können: Nvidia, Palantir, SpaceX, XPeng Der Interviewgast Florian Söllner hält unmittelbar Positionen über die in der Publikation angesprochenen nachfolgenden Finanzinstrumente oder hierauf bezogene Derivate, die von der durch die Publikation etwaig resultierenden Kursentwicklung profitieren können: Baidu Hinweis: Die im Podcast besprochenen Aktien und Fonds stellen keine spezifischen Kauf- oder Anlageempfehlungen dar. Die Moderatoren oder der Verlag haften nicht für etwaige Verluste, die aufgrund der Umsetzung der Gedanken oder Ideen entstehen.

DR1THINGS WE MISSEDThe meritocracy is still a lie: ‘Don't look at the résumé': Elon Musk admits he's ‘fallen prey' to flashy credentials and says conversation matters most when hiring“Generally, what I tell people—I tell myself, I guess, aspirationally—is, don't look at the résumé,” he said. “Just believe your interaction. The résumé may seem very impressive…but if the conversation after 20 minutes is not ‘Wow,' you should believe the conversation, not the paper.”“I think goodness of heart is important.”Four Black women. Nine degrees. Not one steady paycheck.The president promised to save “Black jobs,” but his policies have resulted in fresh pain for the Black middle class as the employment gap widens.Study: Women are more likely to get hired after taking GLP-1sZuck still sucks: Mark Zuckerberg Sure Sounds Eager to Get Young People Hooked on Online GamblingThe Meta CEO is developing a social network betting market app—and wants help from Polymarket and Kalshi.Starbucks “Actively Reassessing” 2030 Climate GoalStarbucks initially unveiled its climate goal in 2020, targeting a 50% reduction in Scope 1, 2 and 3 emissions by 2030, on a 2019 basis.While the company's impact report indicates that it has succeeded in cutting operational emissions, with Scope 1 and 2 falling 17% since 2019, wider value chain emissions have continued to climb, with Scope 3 rising by 8% since 2019. With Scope 3 accounting for over 90% of overall emissions, Starbucks has seen its GHG footprint grow by 7% overall since 2019.The reassessment of the goal comes as the company takes “a fresh, comprehensive look at our sustainability goals,” according to a blog post by Starbucks' Chief Sustainability and Social Impact Officer Kelly Goodejohn, as part of the company's ‘Back to Starbucks' strategy initiated by CEO Brain Niccol. From the Impact Report:Overall Grants from the Starbucks FoundationFY25 $13.6M ($31M)FY24 $21.4M ($96M)Delaware Court of Chancery Interprets New Section 144 and Applies Heightened Presumption of Director IndependenceThe Opinion arose in a common context in Delaware stockholder litigation: claims over director and management compensation. In the decision, Vice Chancellor Lori W. Will applied, for the first time, the statute's heightened presumption of independence for directors of public companies determined by the board to be independent under the relevant NYSE or Nasdaq listing standards to dismiss derivative claims on demand futility grounds.In conducting the demand futility analysis, which looks to whether a majority of the board can independently consider a stockholder demand to bring derivative litigation, the Court reasoned that the new statutory language requiring a plaintiff to plead “substantial and particularized facts” to rebut the “heightened” presumption of independence sets a higher bar than under pre-existing law. Specifically, the Court held that the addition of “substantial” to the existing standard that already required particularized facts meant that “a plaintiff must plead specific, non-conclusory facts of sufficient qualitative significance to support a reasonable inference of a material interest or relationship that would impair the director's objective judgment.” The Court was clear that it is not a matter of quantity but rather quality, observing that “a collection of trivial facts” will not rise to the level of materiality required to satisfy this “heightened” standard. Applying that standard to the facts in the case, the Court concluded that the plaintiff's allegations of various overlapping board positions, overlapping investments, and other “business ties” with the company's founder and non-executive chairman were not sufficiently material.DR2The Boardroom Buy-InThe Taser CEO Who Says AI Is the Future of PolicingTaser and body-cam king Rick Smith is betting Axon's dominance—and his own pay package—on his tech-driven vision66% influenceRick Smith: Every 30 seconds one of his Tasers is fired by somebody in the U.S., usually a police officer.The pay package he and his board put together catapulted him to the top of last year's list of the highest-paid CEOs, with a compensation package valued at $164.4 million.33% no 2025; 10% no 2026Smith has already hit three of seven goals. At the end of 2025, Axon estimated the shares underlying the full award could be worth nearly $386 million.IN: Not a dictatorshipOne share one voteBlackRock 9.3%The Vanguard Group 11.6%Patrick Smith 3.5 %OUT: Patrick Smith 66% influence MMWith Chair Michael Garnreiter (2006-); sits on Audit, Compensation Committee, and Nominating committeesCompensation Committee chair Hadi Partovi (2010-): Smith (‘91) and Partovi (‘94) both members of the Theta Eta chapter of Sigma Chi at HarvardOUT: Patrick Smith ignores his board: In the wake of the tragic 2022 school shooting in Uvalde, Texas, Smith announced that Axon would begin developing Taser-equipped drones that could fly into classrooms to incapacitate active shooters.This decision was made unilaterally, bypassing Axon's own independent AI Ethics Board.The board issued a rare, public rebuke of Smith, accusing him of "trading on the tragedy" of school shootings to push a dangerous idea.Consequently, 9 of the 12 ethics board members resigned in protest, citing a total loss of faith in Axon's ability to act responsibly.Smith was forced to publicly back down and pause the project. IN: The CEO Performance award was specifically voted on in 2024 and passed, barely, but it passed: 50.1% yesNintendo Boss to Give Sweeping 10% Salary Raise to Retain EmployeesWhile most of the players in the gaming industry continue to hemorrhage jobs, Nintendo is opting to take a different path. The Kyoto-based gaming giant has recently announced a 10% increase to base salaries for its employees, a move that highlights its commitment to talent retention while everyone else is laying off employees.Nintendo president Shuntaro Furukawa made the announcement during a recent shareholder meeting, emphasising that maintaining competitive compensation is central to the company's strategy. The raise applies to the company's workforce, which has grown to over 8,200 employees, the highest headcount in Nintendo's history.IN: CEO Shuntaro Furukawa's (18%) annual executive compensation at Nintendo generally totals around $2.5MOUT: 63% of shares held by institutional investors. What the hell do these suits know about video games? IN: Of six outside directors, 3 are women (20% average in Japan)IN: Because they literally have questions like this at their annual meeting, in fact it was the first one: “With the release of Splatoon Raiders approaching, how does Nintendo evaluate the previous title, Splatoon 3? Some players experienced communication errors and discrepancies in hit detection in that title. I feel that Nintendo's response to these issues may not have been consistent with “sincerity,” one of the values in the Nintendo DNA.”Copart CEO Jeff Liaw to step down, Jay Adair to returnCEO Jeff Liaw will step down from his position and leave the board of directors effective July 31, 2026.Executive Chairman Jay Adair to resume the CEO role on the same date. Adair previously served as Copart's CEO. Liaw will assist with the transition as Special Advisor to Adair.Liaw has been with the online vehicle auction company for approximately a decade, serving first as CFO, then as President, before becoming the company's third CEO.OUT: Leadership messiness, highlighted by a boomerang CEO and so much more:The board has a Chair (founder Willis Johnson 40%) AND an Executive Chair: Willis' son-in-law and co-founder and boomerang CEO Jay Adair 38%The board also included resigning CEO/former CFO Jeff Liaw and former COO Jim Meeks and former Copart executive Steve CohanIN: a boomerang marks a return to the glory days?former CEO Liaw is actually leaving the boardStock price down 50% over past few yearsOUT: A dumb board for an online car auction company:12 directors5 are former or current executivesOne independent director with an car experience: sort of.Matt Blunt is the president of the American Automobile Policy Council, which represents the public policy interests of Stellantis N.V., Ford Motor Company, and General Motors CompanyServed as the governor of the State of Missouri from 2005 to 2009.Only 2 women.3 directors involved as a private inverter or venture capitalIN: CEO Pay Ratio is 46:1Liaw $2.1MAdair $432k for certain benefits MM1Things We MissedDOL's Replacement ESG Rule Reaches White HouseThe rule isn't interesting in and of itself - it reverts to Trump's prior rule in his first term that basically said ESG (E+S really) is dumb, and that everything must be "pecuniary focused”But the interesting part this time around:Trump also signed an executive order in December 2025 directing the DOL to tighten fiduciary rules governing proxy voting and to increase transparency about plan sponsors' use of proxy advisers. The department issued a technical release in April warning that proxy advisory firms may be subject to ERISA fiduciary standards and that proxy voting is a fiduciary act under the law that must be carried out “for the exclusive purpose of maximizing risk-adjusted return.”From the technical release in April: The Department has long recognized that voting rights and other shareholder rights attributable to shares held by ERISA-governed employee benefit plans are plan assets in their own right. Accordingly, management of those rights is subject to ERISA's fiduciary duties, including the duties of prudence and loyalty. The Department first issued guidance on this topic in the 1980s. For example, a 1988 letter (Avon Letter) noted that “it is the Department's position that the decision as to how proxies should be voted . . . are fiduciary acts of plan asset management.”(2)Proxy advisory firms may also be functional fiduciaries under ERISA section 3(21)(A)(ii) by providing investment advice for a fee to plans with respect to property of that plan.Here's why it's interesting:Defining fiduciaries as those who provide advice for a fee means everyone selling research is a fiduciary if the research is used in an investment decisionThe DOL is squarely defining proxy voting as a fiduciary act - which means that there can be no rational apathy as Mike Levin likes to talk about - if voting your proxies is definitionally your fiduciary duty, you can't defer it or ignore itIf you vote 99% in favor of management, you definitionally are ignoring your fiduciary duty - half of companies will underperform some peer set, meaning they produced fewer returns than peers, in any given year. So you either set the time frame longer (thus forcing the inclusion of long term data like climate and social factors) and say that in any one year it makes sense to vote with management to allow them time to execute strategy, OR you should be voting against nearly half of management proposals for underperformers each year because they are not producing pecuniary returnsGovernance chairs remain under pressure as investor scrutiny rises despite rising support for directors, research showsISS found that the MEDIAN support for directors has hit 98%They found that governance/nom chairs (those are specifically governance/nom committee chairs) had median support of 94.1%Pay chairs had 96.9% supportMM2The Boardroom Buy-InJPMorgan built a pipeline of female CEO candidates that was the envy of Wall Street. How did it fall apart? Are you IN or OUT on this board to find a successor to Dimon?IN or OUT: Nom chair: Gini Rometty (2020)Massively connected - highest betweenness, 82% connected to other directors (highest on board)Ex IBM CEO (retired 2020), IBM lifer (since 1981), Council on Foreign Relations, Business RoundtableCEOs replaced: herself? With Arvind Krishna, who was at IBM for more than 30 yearsIN or OUT: Michele Buck (2025)Newly appointed, ex CEO of Hershey, Hershey for 20 years and Kraft/Nabisco for 17 years prior (two companies, all food), board of NY LifeCEOs replaced: zero (dictatorship at Hershey)IN or OUT: Stephen Burke (2004)Lead Director! 16% influence, 22 year tenureComcast since 1998, Disney/ABC 1986, director at Berkshire HathawayCEOs replaced: zero (dictatorship at NBC/Comcast)IN or OUT: Alex Gorsky (2022)Ex CEO of J&J, Boards of Apple, IBM (!), ex Business RoundtableCEOs replaced: Tim Cook, himself, Gini Rometty (!)Jensen Huang's iconic leather jacket is going up for auction. Are you IN or OUT on “iconic” founder clothes?IN or OUT: Steve Jobs' turtleneck INEnabled by Arthur LevinsonIN or OUT: Zuck hoodie INEnabled by Peter Thiel, Marc AndreessenIN or OUT: Bill Gates' glasses OUTIN or OUT: Elizabeth Holmes' turtleneck OUTIN or OUT: Jack Dorsey's “love” hat OUTIN or OUT: Musk's chainsaw INSub question: if a board member has been on the board as long as the founder, are they iconic?Tench Coxe - 32 years on Nvidia board, only board he's on, buddies with JensenHarvey Jones - 32 years on Nvidia board, only board he's on, buddies with JensenBrooke Seawell (28 years) and Mark Stevens (17 years) - both were with Jensen when Nvidia just made dopey video cards for better video games

Sam, Dylan, and Dark Smith are back to break down: Dark Smith off nicotine and Sam 12 days off "corn," both in a vulnerable state, CERN switching off the Large Hadron Collider for a three-and-a-half-year shutdown and the theory that we've been living in a CERN-created alternate dimension this whole time, the newly released MKUltra files and Whitey Bulger dosed with LSD for five days straight seeing demons, Allen Dulles launching the program under the "China can't beat us to mind control" excuse, Operation Midnight Climax and the CIA's hooker safe houses with two-way mirrors, the yoni-steaming trend taking over social media, the Ark of the Covenant supposedly located via the CIA's Project Sun Streak remote-viewing psychics, Marc Andreessen and the bankers hoarding ancient occult knowledge, the theory that most ancient religion is just sky-god ejaculation myths (the Milky Way as Hera's breast milk), Trump's disclosures showing over $1 billion from crypto and him being the Michael Jordan of corruption, the 60 Minutes segment on the $800 million oil short placed 15 minutes before Trump's Iran ceasefire post, predictive markets like Kalshi and Polymarket weaponized as propaganda, Trump buying Axon stock days before ICE handed them a contract, Trump ripping up the White House floor for Italian marble paid out of the National Parks fund, the handout comparing Trump to Attila the Hun, and a Sports Corner meltdown over Emmanuel Acho saying the WNBA doesn't need Caitlin Clark anymore plus the pitch to fund a pro roller derby league with Sam as commissioner. Happy 250th birthday, America. Subscribe and give us that sweet brown hype.   Grab Tickets To Sam Tripoli's Live Shows At: https://samtripoli.com/events/   Miami, Fl: 7/31-8/1 Lawerence, KS: 9/17-9/19 Tulsa, OK: 10/9-10/10 Dallas, TX: 11/07 New Orleans, LA: 11/13 - 15 Austin, TX: DEC 11th-13th:   Buy Our Merch or Sam Will Fight You: https://conspiracy-social-club-aka-deep-waters.myshopify.com/   Subscribe to the Patreon: https://www.patreon.com/AkaDeepWaters   Check out Dylan's instagram - @dylanpetewrenn   Check out Deep Waters Instagram: @akadeepwaters   Check out Bad Tv podcast: https://bit.ly/3RYuTG0   THANK YOU TO OUR SPONSORS:   BLUECHEW.COM Promo code "DEEP" for 3rd Month FREE + 10% OFF & FREE Shipping

We're back with more advice for the lovely, over-50s audience of Slate dot com! Join Spencer, Ty, and Andy as they weigh in on problems about racial conflict between spouses, inappropriate ChatGPT usage, and sending letters to your children from beyond the grave. Support us on Patreon for $5, $7, or $10: www.patreon.com/tgofv. TGOFV Theme by World Record Pace. A big shout-out to our $10/month patrons: Celeste, Yung Zoe, Dane Stephen, Weedworf, James Lloyd-Jones, Sam Thomas, Josh O'Brien, Kilo, David, Sam, T, Rach, Tomix, Adam W, L M, Revidicism, Jennifer Knowles, Jeremy-Alice, Louis Ceresa, Charles Doyle, Dean, Axon, Themandme, Raouldyke, Stephen Tucker, Lawrence, Rebecca Kimpel, Malek Douglas, Jacon Sauber-Cavazos, Bernventers, William Copping, NewmansOwn, Heather-Pleather, Bunknown, Dinosarden, Bedi, Francis Wolf, King Krang, Anthony C, ASDF, Buffoonworld, Bavbiff, D Love, and Tugboat!

Ohne Aktien-Zugang ist's schwer? Starte jetzt bei unserem Partner Scalable Capital. Mit eigenem KI-Chatbot, der dir alle Fragen rund ums Investieren beantwortet. Alle weiteren Infos gibt's hier: scalable.capital/oaws. Nagarro verdoppelt sich. Trump kauft Axon vor Großbestellung. Telekom treibt Fusion mit T-Mobile voran. SpaceX macht Druck. Comcast spaltet sich. Rocket Lab will Iridium. Alphabet steigt in Dow Jones. Baidu will Chips verkaufen. Samsung & SK investieren. Netflix (WKN: 552484) hat sich fast halbiert und wird nur noch mit KGV 21 gehandelt. Streaming, Werbung, Gaming. Reicht das für die Wende? British American Tobacco (WKN: 916018) streicht 20% der Jobs. Trotzdem spannend: Tabak ist unabhängig von KI, Pouches und Vapes wachsen. 5% Dividendenrendite und KCV von 13. Diesen Podcast vom 30.06.2026, 3:00 Uhr stellt dir die Podstars GmbH (Noah Leidinger) zur Verfügung. Learn more about your ad choices. Visit megaphone.fm/adchoices

01. Justin Timberlake ft. Timbaland - Sexy Back (Snoouth Edit) 02. Mo-Do - Eins Zwei Polizei (SIAK Remix) 03. Cloonee, Jocelyn Enriquez - XTC (Kinderlomas & Infinne Remix) 04. Skrillex - Kyoto (Pretence Remix) 05. HEDEGAARD, Curbi - Dust 2 Dust 06. Drake - JUMPMAN (BARTS REMIX) 07. Mesto - Listen To Me 08. James Carter - Open Up Your Love 09. Hayden James, Bipolar Sunshine - For The Girls 10. Skrillex, Chris Lake & RHR - E o Bonde 11. Fatboy Slim & Riva Starr - Eat Sleep Rave Repeat (Mike Renza Remix) 12. David Guetta & Marten Horger, Men Machine, Congorock, KENZ - Babylon (Men Machine Rework) 13. Kylie Minogue- Can't Get You Out Of My Head (LUKE ALEXANDER Remix) 14. Zander Shine - Lose Your Mind 15. CID - OUTSIDE 16. Skrillex, Fred Again.., Four Tet - Baby Again...(AXON & HayaT Remix) 17. Jazzy & Chris Lorenzo - Invisible

Hey Scummers!This week Spamuel and Nathan continue their tour through the Dramatis Personae of House Goliath, taking a look at four more walking mountains of muscle whose solution to virtually every problem is "hit it harder."First up is Attilus the Axe, a legendary Goliath whose reputation was built one swing at a time. Equal parts executioner and demolition crew, Attilus proves that subtlety is a concept best left to the Van Saar. If there's an obstacle in front of him, chances are it won't be there for much longeronce they meet The God Cleaver.Next comes Durgan Kill Fist, because apparently House Goliath has a strict naming convention that requires every champion to sound like they lost a fight with a thesaurus. Durgan is another monstrous bruiser whose preferred negotiating tactic is introducing his fist to whatever unfortunate soul happens to be standing nearby. Peace was never really on the table.Then we meet Gorshiv Hammerfist, another champion whose name somehow manages to describe both his personality and his preferred method of conflict resolution. This monstrous Stimmer leads a crew of GOliath so brutal, even his brothers and sisters fear gaining their attention.Finally, we examine Axon Hammer, proving once again that if you survive long enough in House Goliath, you either become a legend or a cautionary tale. Built like a cargo hauler and just as graceful, Axon rounds out an episode dedicated to the biggest slabs of vat-grown beef the Underhive has to offer. From atop his custom Ridgehauler, The Behemoth, Axon wages war on any unlucky enough to get caught on the roads of the wastes.Of course, this wouldn't be an episode of The Underhive Lorekeepers without a few derails. Spamuel attempts to perform slam poetry, somehow butchering both poetry and slamming in the process. Nathan, meanwhile, spends the rest of the episode reminding everyone that he is, in fact, the funny one on the podcast—a claim that may or may not survive the edit. The lads discuss their ideal spending when winning the lottery and because it's impossible to discuss Goliaths without descending into gym humour, the episode becomes dangerously overloaded with bodybuilding double entendres. It's all completely innocent.Probably.So grab your protein shake, never skip gene-day, and remember, in House Goliath, friends don't let friends skip leg day.Mostly because none of them can fit through the gym door anymore.Enjoy the episode, Scummers!If you have questions, complaints, corrections or suggestions, email us at Underhivelorekeepers@gmail.com.Want to support the show? ⁠https://linktr.ee/underhivelorekeepersEnd music theme is Celltrance by Lobo Loco.https://freemusicarchive.org/music/Lobo_Loco/free-for-you-cc-by/celltrance-id-2346/

AppLovin stock posted 59% revenue growth and a 70% free cash flow margin in Q1 2026—numbers that look more like cheat codes than a real business. We break down what makes the Axon 2.0 machine learning ad engine so efficient, why AppLovin can scale without a traditional sales force, and how targeted digital advertising has become the clearest ROI story in AI so far.We also walk through management's 10-year growth roadmap—from mobile gaming to consumer, e-commerce, and connected TV—and what has to be true for AppLovin to reach $70 billion in annual revenue. Then we run both a five-year and ten-year reverse DCF to show exactly what growth rate is already baked into the current stock price, and whether buying the dip today makes sense for long-term investors. Plus, how they're deploying $1.3 billion in quarterly free cash flow, including nearly $1 billion in share buybacks in Q1 alone.Want real-time portfolio access and deeper coverage on high-growth software and semiconductor stocks? Join Semi Insider at chipstockinvestor.com.Run your own AppLovin research with AI-powered financial tools at fiscal.ai/csi — 15% off any paid plan.Content in this video is for general information or entertainment only and is not specific or individual investment advice. Forecasts and information presented may not develop as predicted and there is no guarantee any strategies presented will be successful. All investing involves risk, and you could lose some or all of your principal.CSI owns shares of AppLovin.

Yeah, I'm thinking of getting some more brothers to make an even more powerful restaurant. Call it Wahlburgers 2. Join Ty, Andy, and special guest Stu (from the Marvelous! Podcast) as they read through a number of leftover fanfictions from all over the entertainment sphere. Then: an interview with noted actor and Bostonian Mark "ie MArk" Wahlberg! Support us on Patreon for $5, $7, or $10: www.patreon.com/tgofv. TGOFV Theme by World Record Pace. A big shout-out to our $10/month patrons: Celeste, Yung Zoe, Dane Stephen, Weedworf, James Lloyd-Jones, Sam Thomas, Josh O'Brien, Kilo, David, Sam, T, Rach, Tomix, Adam W, L M, Revidicism, Jennifer Knowles, Jeremy-Alice, Louis Ceresa, Charles Doyle, Dean, Axon, Themandme, Raouldyke, Stephen Tucker, Lawrence, Rebecca Kimpel, Malek Douglas, Jacon Sauber-Cavazos, Bernventers, William Copping, NewmansOwn, Heather-Pleather, Bunknown, Dinosarden, Bedi, Francis Wolf, King Krang, Anthony C, ASDF, Buffoonworld, Bavbiff, D Love, and Tugboat!

Now, Clarice. Buffalo Bill's skirt has never gone spinny, surely you can see that. Join Spencer, Ty, and Andy as they pit even more fictional characters against each other in pitched combat and see who comes out victorious. Support us on Patreon for $5, $7, or $10: www.patreon.com/tgofv. TGOFV Theme by World Record Pace. A big shout-out to our $10/month patrons: Celeste, Yung Zoe, Dane Stephen, Weedworf, James Lloyd-Jones, Sam Thomas, Josh O'Brien, Kilo, David, Sam, T, Rach, Tomix, Adam W, L M, Revidicism, Jennifer Knowles, Jeremy-Alice, Louis Ceresa, Charles Doyle, Dean, Axon, Themandme, Raouldyke, Stephen Tucker, Lawrence, Rebecca Kimpel, Malek Douglas, Jacon Sauber-Cavazos, Bernventers, William Copping, NewmansOwn, Heather-Pleather, Bunknown, Dinosarden, Bedi, Francis Wolf, King Krang, Anthony C, ASDF, Buffoonworld, Bavbiff, D Love, and Tugboat!

On today's newscast: Glenwood Springs has signed a contract with the company Axon to replace its automatic license plate cameras; a judge has ordered the Trump Administration to restore exhibits at national parks; and two women were rescued from a technical climbing route known as a via ferrata in Telluride on Saturday night. Tune in for these stories and more.

We got a new-ass series for you all! If it reminds you of any other series you may have heard, keep it under your hat. Join Spencer, Ty, and Andy as they give advice about smelly roommates, small penises, cowardly boyfriends, and more. Support us on Patreon for $5, $7, or $10: www.patreon.com/tgofv. TGOFV Theme by World Record Pace. A big shout-out to our $10/month patrons: Celeste, Yung Zoe, Dane Stephen, Weedworf, James Lloyd-Jones, Sam Thomas, Josh O'Brien, Kilo, David, Sam, T, Rach, Tomix, Adam W, L M, Revidicism, Jennifer Knowles, Jeremy-Alice, Louis Ceresa, Charles Doyle, Dean, Axon, Themandme, Raouldyke, Stephen Tucker, Lawrence, Rebecca Kimpel, Malek Douglas, Jacon Sauber-Cavazos, Bernventers, William Copping, NewmansOwn, Heather-Pleather, Bunknown, Dinosarden, Bedi, Francis Wolf, King Krang, Anthony C, ASDF, Buffoonworld, Bavbiff, D Love, and Tugboat!

The RCMP is piloting an AI program called Draft One (by Axon) in Alberta and BC detachments to automatically write police reports from body camera audio, covering everything except major crimes like murder. The FIFA World Cup is now only a couple days away from taking over Vancouver. What can people expect to see? Metro Vancouver implemented Stage 3 water restrictions today due to hot/dry weather, a major supply pipe being offline for repairs, low snowpack, and higher-than-normal water usage. Learn more about your ad choices. Visit megaphone.fm/adchoices

All month long, Bruce & Gaydos are Outspoken Against Hunger raising money for St. Mary's Food Bank. Every dollar donated will be matched by Axon until we reach $75,000. Text FOOD to 620620, and together we can change lives!

Sponsored by Kalshi. Join Spencer, Ty, and Andy as they debate whether gambling is good and should be the cornerstone of our democracy, or if it's bad and we should nuke Atlantic City. Sponsored by BetKings. Support us on Patreon for $5, $7, or $10: www.patreon.com/tgofv. TGOFV Theme by World Record Pace. A big shout-out to our $10/month patrons: Celeste, Yung Zoe, Dane Stephen, Weedworf, James Lloyd-Jones, Sam Thomas, Josh O'Brien, Kilo, David, Sam, T, Rach, Tomix, Adam W, L M, Revidicism, Jennifer Knowles, Jeremy-Alice, Louis Ceresa, Charles Doyle, Dean, Axon, Themandme, Raouldyke, Stephen Tucker, Lawrence, Rebecca Kimpel, Malek Douglas, Jacon Sauber-Cavazos, Bernventers, William Copping, NewmansOwn, Heather-Pleather, Bunknown, Dinosarden, Bedi, Francis Wolf, King Krang, Anthony C, ASDF, Buffoonworld, Bavbiff, D Love, and Tugboat!

Josh Isner joined Bruce & Gaydos to announce a contribution to Outspoken Against Hunger, the fundraiser benefiting St. Mary's Food Bank! Text FOOD to 620620 and together we can change lives!

EDITOR'S NOTE: You are not allowed to get mad at us for anything we say in this episode. Instead, get mad at Spencer's employers. Join Spencer, Ty, and Andy as they figure which religions are the good ones and which are the bad ones, once and for all. Why didn't anybody do this sooner? Support us on Patreon for $5, $7, or $10: www.patreon.com/tgofv. TGOFV Theme by World Record Pace. A big shout-out to our $10/month patrons: Celeste, Yung Zoe, Dane Stephen, Weedworf, James Lloyd-Jones, Sam Thomas, Josh O'Brien, Kilo, David, Sam, T, Rach, Tomix, Adam W, L M, Revidicism, Jennifer Knowles, Jeremy-Alice, Louis Ceresa, Charles Doyle, Dean, Axon, Themandme, Raouldyke, Stephen Tucker, Lawrence, Rebecca Kimpel, Malek Douglas, Jacon Sauber-Cavazos, Bernventers, William Copping, NewmansOwn, Heather-Pleather, Bunknown, Dinosarden, Bedi, Francis Wolf, King Krang, Anthony C, ASDF, Buffoonworld, Bavbiff, D Love, and Tugboat!

In this episode of Investing Unscripted, Jason and Jeff are joined by longtime friend and investing educator Brian Stoffel. Brian shares his fascinating journey from a middle school writing teacher in Washington, D.C., to discovering Warren Buffett in Costa Rica, and eventually becoming a prominent writer for The Motley Fool. The trio dives deep into Brian's investing evolution—blending the extreme optimism of David Gardner with the anti-fragility of Nassim Taleb—and the painful valuation lessons learned during the 2022 bear market. They also tackle the burning question: "Will AI kill SaaS?", exploring the protective moats of high switching costs, physical world connections, and mission-critical proprietary data.  01:47 Dave Ramsey Story 04:00 From Teacher to Fool 07:25 Buffett Book and Costa Rica 11:56 Berkshire Meeting Takeaways 18:33 Evolving Investing Style 25:30 AI and SaaS Moats 29:15 SaaS Winners in Selloff 29:47 Shopify and Toast Moats 31:56 Physical World Edge 32:54 Proprietary vs Synthetic Data 34:23 Leadership and SaaS Evolution 36:17 Margins TAM and Volume 37:23 Compute Costs and Jevons 43:16 AI Everywhere Anecdotes 45:58 Investor Mindset Rules 47:32 Fads Position Sizing 52:33 Luck Skill and Plugs 56:51 Closing Thanks Disclaimer Check out Brian's work: https://www.stockinvestingmentor.com Companies mentioned: AMZN, AXON, CRM, CRWD, DDD, GOOG, GOOGL, NET, NFLX, NVDA, SHOP, SSYS, TOST, TTD Find where to listen & subscribe,  portfolio contests, and contact information at https://investingunscripted.com ***************************************** To get 15% off any paid plan at fiscal.ai, visit https://fiscal.ai/unscripted Listen to the Chit Chat Stocks Podcast for discussions on stocks, financial markets, super investors, and more. Follow the show on Spotify, Apple Podcasts, or YouTube ***************************************** Join our PatreonSubscribe to our portfolio on Savvy Trader Learn more about your ad choices. Visit megaphone.fm/adchoices

In this Dialogue episode of The Synopsis, we discuss S&P 500 valuations and concentration, and provide short thoughts on Constellation Software, Intuit, Sea Limited, and Mercado Libre.  YouTube Video Links: S&P 500 Concentration  Five Minute Money Newsletter Free Sign Up   ~*~ You can also get a free trial to AlphaSense to read 200k+ expert calls through this link.  ~*~ For full access to all of our updates and in-depth research reports become a Speedwell Member here. Please reach out to info@speedwellresearch.com if you need help getting us to become an approved research vendor in order to expense it. -*-*-*-*-*-*-*-*-*-*-*-*-*-*- Show Notes (0:00)  — S&P 500 Concentration a Risk? (20:40)  — Adobe Report Tease (23:18)  — Intuit Earnings Review (36:12)  — CSU Earnings and AGM (44:34)  — Why AI is a Beneficiary for Axon (49:17)  — Mercado Libre Earnings Takeaways and Risks (56:38)  — Sea Limited Earnings Takeaways and Risks -*-*-*-*-*-*-*-*-*-*-*-*-*-*- For full access to all of our updates and in-depth research reports, become a Speedwell Member here. Please reach out to info@speedwellresearch.com if you need help getting us to become an approved research vendor in order to expense it. *-*-*- Follow Us: Twitter: @Speedwell_LLC Threads: @speedwell_research Email us at info@speedwellresearch.com for any questions, comments, or feedback. -*-*-*-*-*-*-*-*-*-*- Disclaimer Nothing in this podcast is investment advice nor should be construed as such. Contributors to the podcast may own securities discussed. Furthermore, accounts contributors advise on may also have positions in companies discussed. This may change without notice. Please see Speedwell's and Drew Cohen Money's full disclaimers here:  https://speedwellresearch.com/disclaimer/ https://www.drewcohenmoney.com/disclaimers 

It turns out that powerscaling was the key to everything. Take that, Homer! Join Spencer, Ty, and Andy as they engage in essential writing mechanics by pitting literary characters against each other in battles to the death. Support us on Patreon for $5, $7, or $10: www.patreon.com/tgofv. TGOFV Theme by World Record Pace. A big shout-out to our $10/month patrons: Celeste, Yung Zoe, Dane Stephen, Weedworf, James Lloyd-Jones, Sam Thomas, Josh O'Brien, Kilo, David, Sam, T, Rach, Tomix, Adam W, L M, Revidicism, Jennifer Knowles, Jeremy-Alice, Louis Ceresa, Charles Doyle, Dean, Axon, Themandme, Raouldyke, Stephen Tucker, Lawrence, Rebecca Kimpel, Malek Douglas, Jacon Sauber-Cavazos, Bernventers, William Copping, NewmansOwn, Heather-Pleather, Bunknown, Dinosarden, Bedi, Francis Wolf, King Krang, Anthony C, ASDF, Buffoonworld, Bavbiff, D Love, and Tugboat!

Music Is My Medicine is a tech/house music podcast. Please check out this great high-energy party music. Artist names and song titles are in the order they were played... HILLS-RACK CITY, TRUTH & LIES-POLKADOTS, EDMI & DON'T REFUSE-FLOW, AXON & CASHEW-MEDICATION, THODE-THE TECHNOMIND, TIM HOX & WOUTER S-HOW I FEEL, MACROLEV-JUST BREATHE, CIZZZLA-PAPI, PIMP THE DISKO-ALL THE NIGHT, DON DIABLO-THE WAY I ARE, FEDERICO SCAVO-JANELA, HASKELL & DAVID LESAL-LOVE DEALER, TRUTH & LIES-HEARD ABOUT ME, VENGA-SHAKE IT, DANIEL DUBB & CHRIS CAMPOS-MY PEOPLE, TONY CORTEZ-STEEL DRUM, DESCONTROL-BOMBORAK, VOLKODER-BODY. End. Thanks for listening to Ken Steele Music.  

Former Under Secretary of Commerce for International Trade, Stefan Selig, breaks down the President's China trip and why both countries could come out winners, despite a lack of deal announcements. Then following the blockbuster IPO for chipmaker Cerebras, what should investors expect for the next tranche of IPOs waiting in the wings. Plus, the CEO of Axon, maker of tasers, body cams and drones on how AI is impact the industry. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Are we there yet? Are we there yet? Are we there yet? Are we there yet? Are we there yet? Are we there yet? Join Spencer, Ty, and Andy as they plan out a cross-country road trip to America's hottest tourist destinations. Support us on Patreon for $5, $7, or $10: www.patreon.com/tgofv. TGOFV Theme by World Record Pace. A big shout-out to our $10/month patrons: Celeste, Yung Zoe, Dane Stephen, Weedworf, James Lloyd-Jones, Sam Thomas, Josh O'Brien, Kilo, David, Sam, T, Rach, Tomix, Adam W, L M, Revidicism, Jennifer Knowles, Jeremy-Alice, Louis Ceresa, Charles Doyle, Dean, Axon, Themandme, Raouldyke, Stephen Tucker, Lawrence, Rebecca Kimpel, Malek Douglas, Jacon Sauber-Cavazos, Bernventers, William Copping, NewmansOwn, Heather-Pleather, Bunknown, Dinosarden, Bedi, Francis Wolf, King Krang, Anthony C, ASDF, Buffoonworld, Bavbiff, D Love, and Tugboat!

(0:00) David Friedberg welcomes Charles & Chase Koch (1:04) Koch Inc. Overview: Scale, Business Lines & History (2:21) Building the Business: Early Days & Charles Koch Joins (1961) (11:31) Failures, Creative Destruction & Learning from Mistakes (19:22) Culture & Principle-Based Management (33:53) Georgia-Pacific Acquisition & Culture Transformation (56:17) Stand Together: Education Reform & Social Change (1:12:37) AI, Economic Challenges & the Future of Capitalism Thanks to our partner Axon.ai for making this possible. Axon.ai — AppLovin's AI advertising platform reaches over a billion daily active users across mobile games. Full-screen video ads with a 35-second median watch time. Advertisers are profitably spending hundreds of thousands of dollars a day and advertiser access is still in closed beta. The window is open at https://axon.ai/allin Follow the besties: https://x.com/chamath https://x.com/Jason https://x.com/DavidSacks https://x.com/friedberg Follow on X: https://x.com/theallinpod Follow on Instagram: https://www.instagram.com/theallinpod Follow on TikTok: https://www.tiktok.com/@theallinpod Follow on LinkedIn: https://www.linkedin.com/company/allinpod Intro Music Credit: https://rb.gy/tppkzl https://x.com/yung_spielburg Intro Video Credit: https://x.com/TheZachEffect

Damon Sharpe comes out the gate HOT in this week's episode of #BrainjackRadio! This week, Damon celebrates 6 years of Brainjack Radio by rinsing Brainjack's finest. You can expect to hear sounds from VERSUE, DancingFaraZ, Damon and many more!01. Damon Sharpe – Man Of The Year02. Morgan Page, VIVID – Fire & Gold03. BVRRN, DijahSB – Rebound04. Damon Sharpe, AXON, Tima Dee – Casa De Techa05. Alboa – Rompelo06. Damon Sharpe ft. Tima Dee – Naughty Girl07. GATTÜSO, Damon Sharpe – When In Rome (Mark Sixma Remix)08. Damon Sharpe – Hollaback Girl09. Damon Sharpe – Housaholic10. Arlind – Hear Me Now11. VERSUE – Set Me Free12. Damon Sharpe ft. JVZEL – Propane13. The Icarus Kid – Every Night14. Simll3x, MI!KE V – Talk About Love15. Melli – Magnetized16. DancingFaraZ – It's A Vibe17. Dance Party Time Machine – Pull Up18. Damon Sharpe, Jeff Retro – Hotta Fire (Cerulo Remix)19. Damon Sharpe, AXON ft. Kirsten Collins – Gucci Lemonade20. Damon Sharpe ft. LittGloss – It's Goin Down21. IILO, MYLO – On My Love V222. Chris Burke, Damon Sharpe, Robbie Rosen – HMU

Augmented Workforce, Learning at the Frontline and the Destiny of L&D. For a long stretch, you could skip Learning Technologies for a year and miss almost nothing. Not this year. AI has stopped being something L&D is piloting and started being something the field is rebuilding around — and the conversation at LT26 had a sharper edge for it. In this season finale, John brings back five voices from the show floor and the studio to map what's actually changing: the augmented workforce, the 80% of workers L&D has long ignored, the readiness question nobody wants a straight answer to, the maturing of content into context, and the generational lens of a 30 Under 30. The destiny of L&D, in other words — sketched from five different angles, while the ground is still moving. Guests, in running order Giovanni Giamminola — AI advisor and author of The Augmented Manager; opening keynote speaker at LT26. The augmented workforce thesis: humans plus AI plus AI agents, and the cognitive shift that demands of management. JD Dillon — Founder of LearnGeek; former CLO at Axonify; author of The Frontline Enablement Playbook (out the week the episode airs). On the 80% of the workforce L&D conferences forget about. Alicia Sanchez — Chief AI Officer at MPF Federal LLC; LT26 panellist on future-proofing L&D. On AI readiness — organisational and workforce — and the failure modes at both extremes. Cheryl Clemons — CEO and co-founder of StoryTagger. On the show's themes from a vendor's chair: content to context, evidencing impact, and whether storytelling has had its day as a learning modality. Matt Caldwell — People Experience and DEI at Axon; LT26 30 Under 30 cohort. The generational lens: privacy, data, bias, and what younger workers actually feel about giving themselves to AI tools. In this episode The augmented workforce — humans, AI, and AI agents working together, and what that means for management itself Why 80% of the global workforce is frontline or deskless, and almost no L&D budget reflects it The two-track AI readiness question — organisational and workforce — and the trap of "we're getting ready" as a permanent excuse Content to context: AI maturing the L&D conversation at both ends of the learning programme A generational read on AI, privacy and bias from inside the workforce that grew up with the technology The destiny of L&D, sketched from five angles while the ground is still moving Links and resources Giovanni Giamminola — The Augmented Manager: How AI Makes Management More Effective, Creative and Strategic (2025) JD Dillon — The Frontline Enablement Playbook (2026); LearnGeek; the enabled newsletter Alicia Sanchez — Why Readiness Is Shaping the Future of Work (Learning Guild) Cheryl Clemons — StoryTagger Matt Caldwell — Axon; LT26 30 Under 30 cohort (Nigel Paine)   CONNECT WITH LEARNING HACK LinkedIn: linkedin.com/in/johnhelmer X: @johnhelmer Threads: @jphelmer Bluesky: @johnhelmer.bsky.social Website: learninghackpodcast.com Coming next on this feed The Learning Hack returns for a new season in September. But the feed isn't going quiet over the summer — John launches a brand-new podcast on Tuesday 26 May 2026: The Tech Imaginarium — How Science Fiction Made the Modern World, co-hosted with writer and consultant Ezri Carlebach. Six episodes, weekly, into this same feed. More at learninghackpodcast.com/tech-imaginarium.

(0:00) Spencer Pratt vs. the Machine (3:01) Inside the Palisades Fire: Drained Reservoirs, No Sirens & Watching His House Burn on His Phone (14:03) Why He's Running for Mayor: FireAid's $100M Scandal & the NGO Corruption Nobody Talks About (28:10) Karen Bass at 20% & the Real State of Los Angeles: Crime, Homelessness & a City in Free Fall (38:23) Spencer's Plan to Fix LA: Enforcing Laws, Auditing Everyone & the Billionaires Ready to Rebuild (52:22) Hollywood, LAUSD & Small Business: What It Actually Takes to Make LA #1 Again (56:25) The Permitting Nightmare Killing Small Business & How AI Fixes It Overnight (1:04:22) His 8-Year Vision Thanks to our partner Axon.ai for making this possible. Axon.ai — AppLovin's AI advertising platform reaches over a billion daily active users across mobile games. Full-screen video ads with a 35-second median watch time. Advertisers are profitably spending hundreds of thousands of dollars a day and advertiser access is still in closed beta. The window is open at https://axon.ai/allin Follow Spencer: https://x.com/spencerpratt Follow the besties: https://x.com/chamath https://x.com/Jason https://x.com/DavidSacks https://x.com/friedberg Follow on X: https://x.com/theallinpod Follow on Instagram: https://www.instagram.com/theallinpod Follow on TikTok: https://www.tiktok.com/@theallinpod Follow on LinkedIn: https://www.linkedin.com/company/allinpod Intro Music Credit: https://rb.gy/tppkzl https://x.com/yung_spielburg Intro Video Credit: https://x.com/TheZachEffect Referenced in the show: https://x.com/spencerpratt/status/2049497051793412557?s=20

Socrates. Aristotle. Duchamp. Ben Bankas. Join Spencer, Ty, Andy, and guest Charles Austin of the Episode One podcast as they discuss the great thinkers, poets, and artists of their time in a consortium of learned intellectuals. Just what we need to combat this wave of anti-intellectualism, eh? Support us on Patreon for $5, $7, or $10: www.patreon.com/tgofv. TGOFV Theme by World Record Pace. A big shout-out to our $10/month patrons: Celeste, Yung Zoe, Dane Stephen, Weedworf, James Lloyd-Jones, Sam Thomas, Josh O'Brien, Kilo, David, Sam, T, Rach, Tomix, Adam W, L M, Revidicism, Jennifer Knowles, Jeremy-Alice, Louis Ceresa, Charles Doyle, Dean, Axon, Themandme, Raouldyke, Stephen Tucker, Lawrence, Rebecca Kimpel, Malek Douglas, Jacon Sauber-Cavazos, Bernventers, William Copping, NewmansOwn, Heather-Pleather, Bunknown, Dinosarden, Bedi, Francis Wolf, King Krang, Anthony C, ASDF, Buffoonworld, Bavbiff, D Love, and Tugboat!

Tonight's edition of The Mark White Show focuses on an issue affecting healthcare workers across America: workplace violence in hospitals and healthcare settings. As someone who has served on the Athens-Limestone Hospital Patient & Family Advisory Council (PFAC) since 2023, this conversation hits especially close to home for me. It's interesting timing that tomorrow's PFAC meeting will include discussion surrounding workplace violence, while tonight's show addresses the growing concerns nurses and healthcare workers are facing every day. With this also being National Nurses Week, the conversation feels even more important. Joining me tonight are John Voight, Vice President and Chief Nursing Officer at Memorial Hermann The Woodlands Medical Center, and Mike Shore, Senior Vice President and General Manager of Enterprise at Axon. We'll discuss the realities healthcare workers are facing, how workplace violence impacts staffing and patient care, and what steps can help create safer environments for the people serving on the front lines of healthcare. Healthcare workers show up for people during some of the hardest moments of life. They deserve support, protection, and appreciation for the work they do every single day. Real stories. Real people. Real impact. News That Unites!™️

What I learned from rereading Shoe Dog: A Memoir by the Creator of Nike for the 3rd or 4th time. Made possible by: Ramp:⁠ https://ramp.com⁠ Axon by Applovin: ⁠https://axon.ai/founders⁠ Vanta: ⁠https://vanta.com/founders

May 6, 2026: The Wall Street Journal reports a genuine split emerging among CEOs — Coinbase and PayPal cutting aggressively while Spotify, IBM, and Axon hold headcount and bet on growth instead. Business Insider goes inside Disney and JPMorgan to show how AI adoption pressure has shifted from C-suite memos to manager dashboards and performance reviews — and why measuring token usage instead of outcomes may be building a very expensive illusion. And author David Epstein, writing for Fast Company, makes the case that AI's real danger isn't replacing workers — it's making it almost free to imagine new work while doing nothing to help you decide what should never have been started. The bottleneck isn't ideas anymore. It's execution.

01. Kesha - Take It Off (Dave Summer Edit) 02. Deadmau5 - Ghosts N Stuff (LUKE ALEXANDER Remix) 03. Wax Motif, Ty Dolla $ign - Bad & U know It (Seb C & Olly Watt Remix) 04. ANOTR ft. 54 Ultra - Talk To You (Aurelios Remix) 05. Usher - Yeah (JVST PHIL & Benjiro's Minimal Bass Remix) 06. DJ Nejtrino - I Like It 07. Quad City DJ's - WORK BABY WORK (Kelland x Cheyenne Giles Remix) 08. Vion Konger In My Mind (Kernkraft + Goosebumps Edit) 09. Chapter & Verse - Hands Up 10. Sunday Scaries - Pick N Choose (Jay Lowside Remix) 11. Alok, Sophiegrophy, Walker & Royce - My Own Thang (To The Beat) 12. Odd Mob, Luciana - Rock The Rhythm (I Like That) 13. James Hype - Trigger Finger 14. Chris Avantgarde - Concrete Professional 15. Beltran, The Flirts - Passion (R U Satisfied) 16. Fred Again.. - Baby Again...(AXON & HayaT Remix) 17. Alok, Khalid - Dive Into Me (Club Mix) 18. Swedish House Mafia, Laidback Luke - Leave The World Behind (Henry Himself Remix)

The nation was shocked when 95-year-old Clare Nowland died after being tasered by a NSW police officer at an aged care facility in 2023. While police forces defend their policies and training, there are concerns that officers draw the weapon too quickly, not just when danger is imminent. There's also a controversial medical diagnosis called “excited delirium” that's been used to explain why it's not the device that's causing deaths. Are the devices really as safe as their maker insists?Today, reporter Grace Tobin on her Four Corners investigation into the multi-billion-dollar Taser industry. Featured: Grace Tobin, ABC investigative reporter

Fuck Star Wars. All my homies hate Star War and the tauntaun he rode in on. Join Spencer, Ty, and Andy as they pit fighters from all around the globe against each other, in a battle royale far, far away... Support us on Patreon for $5, $7, or $10: www.patreon.com/tgofv. TGOFV Theme by World Record Pace. A big shout-out to our $10/month patrons: Celeste, Yung Zoe, Dane Stephen, Weedworf, James Lloyd-Jones, Sam Thomas, Josh O'Brien, Kilo, David, Sam, T, Rach, Tomix, Adam W, L M, Revidicism, Jennifer Knowles, Jeremy-Alice, Louis Ceresa, Charles Doyle, Dean, Axon, Themandme, Raouldyke, Stephen Tucker, Lawrence, Rebecca Kimpel, Malek Douglas, Jacon Sauber-Cavazos, Bernventers, William Copping, NewmansOwn, Heather-Pleather, Bunknown, Dinosarden, Bedi, Francis Wolf, King Krang, Anthony C, ASDF, Buffoonworld, Bavbiff, D Love, and Tugboat!

In this April 2026 Mailbag, Jason and Jeff tackle a massive listener question about portfolio concentration in retirement, debating the merits of holding onto tiny "VC-minded" positions like Warby Parker and QuantumScape versus consolidating into bigger winners. They also provide an update on the "boring" but beautiful Brookfield Infrastructure, exploring its pivot toward modern assets like semiconductor fabs and its impressive 17-year streak of dividend increases. Later, they unpack the nuances of the private credit scare—and why major banks might have more exposure than investors realize. 00:35 Spotify Review Challenge04:43 Retirement Portfolio Breakdown06:20 Concentration vs Diversification10:54 Options Income Bucket12:49 Trim Small Positions17:58 Enjoy Investing vs Indexing19:57 Taxes and Ezra Klein Plug20:55 Brookfield Infrastructure Update22:52 Modern Infrastructure Shift23:21 Intel Ohio Fab Deal23:47 Energy Pivot Opportunities24:35 Leadership Sam Pollock26:38 Market Sensitivity Brookfield28:35 Dividend Yield Return Math30:45 Private Credit Reality Check37:06 Risk Discounting Framework38:35 AI Prompts Investing Workflow40:41 AI Bias And Transcript Shortcuts46:52 Comment Of The Month WrapCompanies mentioned: ADBE, AXON, BAM, BIP, BIPC, INTC, JPM, NVDA, OWL, QS, ROKU, SOFI, WFC, WRBY, ZMFind where to listen & subscribe,  portfolio contests, and contact information at https://investingunscripted.com*****************************************To get 15% off any paid plan at fiscal.ai, visit https://fiscal.ai/unscriptedListen to the Chit Chat Stocks Podcast for discussions on stocks, financial markets, super investors, and more. Follow the show on Spotify, Apple Podcasts, or YouTube*****************************************Join our PatreonSubscribe to our portfolio on Savvy Trader

Union workers at Alamo Drafthouse in Sloan's Lake are walking out today over frustrations with the company's move to a QR code-based food ordering system, saying it overcomplicates interactions with customers. Contributor Michelle Jackson joins host Bree Davies and producer Paul Karolyi to discuss what it means for a theater chain that built a brand on being aggressively anti-phone. Plus they discuss the latest news in the saga of disgraced Mesa County clerk Tina Peters, what this joke map of RTD's light rail stops says about how we view Denver, and of course, our wins and fails of the week.  Bree talked about the new Gems & Minerals Hall coming to the Museum of Nature and Science, the ongoing JBS strike, and Denver City Council's vote for a new contract with Axon. Paul quoted numbers from this Westword report on the local Alamo unions and discussed this statement from the company about the QR ordering change; he also talked about Copper Kettle Brewing's impending closure and Jersey Mike's downhill slide. Michelle mentioned Mo'Betta Greens.  For even more news from around the city, subscribe to our morning newsletter at denver.citycast.fm. Follow us on Instagram: @citycastdenver Chat with other listeners on reddit: r/CityCastDenver Support City Cast Denver by becoming a member: membership.citycast.fm What do you think? Text or leave us a voicemail with your name and neighborhood, and you might hear it on the show: 720-500-5418 Learn more about the sponsors of this April 3rd episode: Multipass Looking to advertise on City Cast Denver? Check out our options for podcast and newsletter ads at citycast.fm/advertise

Harbingers of dystopia or the hottest trend in tech — Kalshi, Polymarket, and other prediction market platforms have come for local politics. You can right now bet on buzzy issues the hotly contested race to represent Colorado's 8th Congressional District, but also on the utterly banal, like the temperature in Denver today. City Cast Denver contributor and founder of investigative journalism site The Lever David Sirota joins host Bree Davies and producer Paul Karolyi to dissect the local prediction markets. Plus, City Council approves Mayor Mike Johnston's new contract for Axon license plate readers, and Sirota's got a rec for the best pet supply store in town.  Subscribe to “Keep It Local,” our new Thursday afternoon shopping guide for curated recommendations of local small businesses. Paul also mentioned the podcast Election Profit Makers and our recent episode with Dr. Paul Teske of CU Denver's School of Public Affairs. Do you have a gambling problem? In Colorado, you call the 24/7 confidential hotline or text 1-800-GAMBLER For even more news from around the city, subscribe to our morning newsletter at denver.citycast.fm. Follow us on Instagram: @citycastdenver Chat with other listeners on reddit: r/CityCastDenver Support City Cast Denver by becoming a member: membership.citycast.fm What do you think about the prediction markets for local issues? We want to hear your take on Kalshi and Polymarket! Text or leave us a voicemail with your name and neighborhood, and you might hear it on the show: 720-500-5418 Learn more about the sponsors of this April 2nd episode: Multipass Looking to advertise on City Cast Denver? Check out our options for podcast and newsletter ads at citycast.fm/advertise