Podcasts about Slaughter

This week on Regional Rasslin', we get the ball rolling with the AWA on ESPN project, After a super fun debut edition where we set the stage, this week we dive into the very first episode of AWA Championship Wrestling from August 27, 1985 taped at Atlantic City's Tropicana Hotel & Casino! Guest Roman Gomez joins host Ray Russell to discuss Sgt. Slaughter and his Americas Title vs. the debuting evil foreign Russian menace known as Boris Zhukov. Plus, 6-Man action with the Fabulous Freebirds vs. Curt Hennig, Tom Zenk, & Buck Zumhofe, Tag Champs The Road Warriors vs. Bill & Scott Irwin, Larry Zbyszko debuts his Talk Show segment "In This Corner" with Guest AWA Champ Rick Martel (but why is Larry Nelson there?), RAMBO Greg Gagne steps in the ring vs. Kahlua, "Gorgeous" Jimmy Garvin & Precious return from "suspension", we discuss the dangers of the Sleeper hold, Verne Gagne pats himself on the back, Nick Bockwinkel & Ray Stevens speak, and much more!If you're enjoying WrestleCopia and interested in helping us continue to grow, please consider Subscribing to our Patreon to help us cover some of our costs! https://www.patreon.com/wrestlecopiaYOU CAN ALSO GIFT SOMEONE A PATREON MEMBERSHIP (OR ASK THEM TO GIFT YOU ONE) AT https://www.patreon.com/WrestleCopia/giftIncludes the $5 “All Access” Tier $9 "VIP Superfan" Tier, and "The ULLLTIMATE Tier", featuring our various VIDEO-CAST Series, Early Show Releases, our insanely detailed show notes (for the Grenade, Monday Warfare, Regional Rasslin, Puro Academy, & Retro Re-View), monthly DIGITAL DOWNLOADS for your viewing and reading pleasure, & more!HELP SUPPORT THE SELF-FUNDED WRESTLECOPIA BRAND, CONSIDER DONATING TO OUR PAYPALWRESTLECOPIA MERCHANDISE - https://www.teepublic.com/user/wrestlecopiaVisit the WrestleCopia Podcast Network https://wrestlecopia.comFollow WrestleCopia on “X” (Formerly Twitter) @RasslinGrenadeFollow & LIKE our FACEBOOK PAGE – https://www.facebook.com/RasslinGrenadeSubscribe to the WrestleCopia Youtube Channel at https://www.youtube.com/RasslinGrenade ★ Support this podcast on Patreon ★

Las Vegas Rockers GENERATION LANDSLIDE release new album “EXISTENCE” via RFK MEDIAGeneration Landslide, led by former MCA recording artist/singer/guitarist Anthony White, will deliver their new album “Existence” worldwide via Ron Keel's RFK Media on July 3rd. The powerful single “Runnin' Out Of Time” will lead the way and is available as an instant download when you pre-order the digital album on iTunes or Amazon.Based in Las Vegas, Generation Landslide has proven their appeal coast to coast in, from a co-headline spot at the M3 Festival Pre Party in Columbia, Maryland to the legendary Whisky A Go Go in Hollywood.Anthony White's rock roots run deep. He powered Xcursion with bandmate Mark Slaughter prior to the singer's platinum success with Slaughter, was a member of the first officially sanctioned KISS tribute band Cold Gin with future KISS guitarist Tommy Thayer and signed with MCA Records as a founding member of Cold Sweat.“The whole idea is to try and bring back all those elements of listening to an album from top to bottom, taking the fans on a musical journey,” explains White. RFK Media's Aaron Fischer describes Generation Landslide's sound as “arena rock, heavily influenced by early KISS, Thin Lizzy, and Alice Cooper, which we love.”Become a supporter of this podcast: https://www.spreaker.com/podcast/arroe-collins-like-it-s-live--4113802/support.

Episode 676. For over a decade, Three Sides of the Coin has been the home for passionate KISS fans, but it's time for the next chapter. In this episode, we explain why we're expanding beyond KISS to include more bands, more albums, more concerts, and more conversations from across the world of hard rock and heavy metal—while making it clear that KISS isn't going anywhere. We'll share what inspired this change, what you can expect from future episodes, and how this evolution will allow us to bring you even more great interviews, reviews, and discussions. Join us as we talk openly about the future of Three Sides of the Coin and why we believe this is the right move for both the show and our incredible community. Three Sides of the Coin https://linktr.ee/ThreeSidesoftheCoin Three Sides of the Coin has moved to its own YouTube Channel, don't miss any future episodes click the link below and click SUBSCRIBE… so easy! Subscribe –    / @threesidesofthecoinkisspodcast   Press requests please contact Michael Brandvold at www.michaelbrandvold.com Since launching in 2012 Three Sides of the Coin has been viewed or listened to over 6,000,000 times. Three Sides of the Coin has been joined by special guests including former KISS lead guitarist Bruce Kulick, Eddie Trunk, AEW Superstar and lead singer of Fozzy Chris Jericho, Angel lead guitarist Punky Meadows, Five Finger Death Punch guitarist Jason Hook, Vinnie Vincent Invasion and Slaughter lead singer Mark Slaughter, Twisted Sister's Dee Snider, comedian Craig Gass, KISS' former business manager Chris Lendt, the Black Veil Brides’ Andy Biersack, Frank Munoz associate producer for Ace Frehley’s Anomaly album, award winning songwriter Adam Mitchell, Ed Kanon (Peter Criss’ drum tech), Kevin Valentine (drummer on KISS’ Psycho Circus album). Three Sides of the Coin was picked (October 2013) as a ‘What’s Hot’ podcast by Apple’s iTunes. In the early ’90s, Michael Brandvold launched the fifth ever website on the Internet devoted to KISS, KISS Otaku. He built, launched and maintained Kissonline.com (KISS’ official web presence). He now owns Michael Brandvold Marketing, providing marketing services and digital strategy to musicians. Tommy Sommers spent 15 years on the record show circuit collecting, trading and selling memorabilia / Kiss merchandise. He is now a successful residential Real Estate agent in the Minneapolis / St. Paul area. Tommy has also produced a KISS song For The Oddfathers and is the owner of Rock Steady Digital Photography. Mark Cicchini, is a world renown KISS collector. KISS have used parts of Mark's vast KISS collection for audio, video & print materials including their book NOTHIN TO LOSE, CD re release of the LOVE GUN album & the VH1 Ultimate Album KISS ALIVE! special as well as many other KISS projects. His wife also makes a mean meatloaf!!! It’s only our opinion… it’s neither right nor wrong. Three Sides of the Coin Radio: www.threesidesofthecoinradio.com Facebook: facebook.com/threesidesofthecoin Twitter: twitter.com/threesidescoin Spotify: spotify.threesidesofthecoin.com YouTube: youtube.threesidesofthecoin.com iHeartRadio: iheartradio.threesidesofthecoin.com Spreaker: spreaker.threesidesofthecoin.com iTunes: itunes.threesidesofthecoin.com TuneIn: tunein.threesidesofthecoin.com Stitcher Radio: stitcher.threesidesofthecoin.com SoundCloud: @michaelbrandvoldmarketing Web: threesidesofthecoin.com Merchandise: shop.threesidesofthecoin.com Three Sides Of The Coin is unofficial & unsanctioned and has no affiliation with the band KISS. MichaelBrandvold.com Three Sides of the Coin Monthly Option 1 : $1.99 USD – monthlyOption 2 : $5.00 USD – monthlyOption 3 : $9.99 USD – monthly If you would rather make a one time donation of any amount, please use the Donate button below.

Welcome to this episode of Monday Night Project, this week we cover WWF Superstars from May 25th 1991 where we will see :- Jim Evans vs. Mr. Perfect (w/Bobby Heenan) Tugboat vs. Warren Bianchi Col. Mustafa (w/Gen. Adnan & Sgt. Slaughter) vs. George Anderson Bret Hart vs. Gary Wilde Buck Zumhofe & Red Tyler vs. The Nasty Boys (Brian Knobbs & Jerry Sags) (w/Jimmy Hart) The Mountie (w/Jimmy Hart) vs. Ricky Rice Al Burke & Bob Bradley vs. The Rockers (Marty Jannetty & Shawn Michaels) Ko-fi.com/memphiscast to buy the show a coffee Patreon.com/memphiscast & youtube.com/@memphiscast as we convert VHS to PC, its free to join and you might see something you've never seen before You can watch the show https://www.patreon.com/MemphisCast/posts/wwf-superstars-161669897?utm_medium=clipboard_copy&utm_source=copyLink&utm_campaign=postshare_creator&utm_content=join_link

When Odysseus finally returns to Ithaca, his homecoming turns into a ruthless reckoning. Tristan Hughes and Dr. Emily Hauser dive into the shocking climax of Homer's Odyssey, where hospitality, vengeance and survival collide in a blood-soaked finale.What drives Odysseus to unleash such fury, and what does the massacre reveal about power, justice and ancient heroism?We're going on *TOUR* to Australia and New Zealand! - final tickets are available here.The Ancients is now on YouTube! Watch here: @TheAncientsPodcastPresented by Tristan Hughes. The editor is Natasha Hughes. The video producer is McKenna Fernandez, producer is Joseph Knight. The senior producer is Anne-Marie Luff.All music courtesy of Epidemic SoundsThe Ancients is a History Hit podcast.Watch Tristan Hughes and Dan Snow retrace the Odyssey in Greece in a new documentary on History Hit TV! Sign up to History Hit for hundreds of hours of original documentaries, with a new release every week PLUS early access, ad-free podcasts and exclusive subscriber episodes. Sign up at https://www.historyhit.com/subscribe.  Hosted on Acast. See acast.com/privacy for more information.

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

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

Adam White, Jace Lington, and Bennett Nuss analyze the recent Supreme Court decisions in Trump v. Slaughter and Trump v. Cook, focusing on the implications for executive power, administrative agency independence, and the future of administrative law. Adam White in SCOTUSblog Aditya Bamzai & Aaron Nielson on the Fed and Article II at The Cornell […]

The Clay Edwards Show – Episode 1256: FAFO Friday On this FAFO Friday, Clay kicks things off with some real talk about his TRT journey — building muscle like never before, feeling unstoppable at nearly 50, and why he calls it the fountain of youth (with the caveat that you still gotta put in the work). Clay then shifts gears for a much-needed mental break from the culture wars, opening the floor to listeners about their best concerts ever. He shares his unforgettable experience at the Rock Never Stops tour featuring Quiet Riot, Slaughter, and Warrant — a high-energy night that reignited his lifelong love for 80s hair metal. Expect plenty of nostalgia, stories about the resurgence of rock, grunge discoveries, and classic tales from Lollapalooza, Family Values Tour, and more. Later, Clay dives back into heavier topics: the ongoing Nolan Wells case and his frustration with race-baiters, conspiracy theories, and endless Emmett Till comparisons that cheapen real history. He also breaks down Donald Trump's recent comments on China's role in the 2020 election theft, voter data breaches, and why the evidence keeps getting buried by the mainstream. Unfiltered, no sugar added, and all over the map — just how the show should be. Strap in for laughs, music memories, accountability, and straight talk.

Adam White, Jace Lington, and Bennett Nuss analyze the recent Supreme Court decisions in Trump v. Slaughter and Trump v. Cook, focusing on the implications for executive power, administrative agency independence, and the future of administrative law.Adam White in SCOTUSblogAditya Bamzai & Aaron Nielson on the Fed and Article II at The Cornell Law Review

The Supreme Court just made it easier to fire SEC and CFTC commissioners. Katherine, Jessi, and Vy on why that could reset who controls crypto policy. Plus, the UK's new rulebook. ======================================================== Thank you to our sponsor! ⁠⁠Cape⁠⁠: Your biggest crypto vulnerability isn't your wallet, it's your phone number. Cape is America's privacy-first mobile carrier that rotates your SIM identity daily and blocks SIM swaps before they happen. Get 33% off your first six months at https://cape.co/unchained (use code: UNCHAINED). ======================================================== The Supreme Court just tore up a 90-year-old precedent that kept independent-agency commissioners safe from a president's whims, and almost no one in crypto is talking about what it means for the SEC and the CFTC. Katherine Kirkpatrick Bos, Jessi Brooks, and Vy Le trace how the ruling in Trump v. Slaughter changes who actually controls financial regulation. Then they cross the Atlantic to the UK's sweeping new crypto rulebook and the European Commission's move to expand MiCA just as its first version fully takes effect. They also dig into a Cambridge report showing fighters from one of the world's most brutal terror groups using chatbots to troubleshoot weapons and plan attacks, and ask why there's no Section 230 for crypto or AI, only a growing pile of civil lawsuits testing where liability lands. Jessi Brooks argues crypto's decade of learning to police neutral technology might be the only playbook AI has left to borrow. Host: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Katherine Kirkpatrick Bos⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, General Counsel. Previously held senior legal roles across DeFi and centralized exchanges. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jessi Brooks⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, General Counsel at Ribbit Capital⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Vy Le⁠⁠⁠⁠⁠⁠ - Co-host of DEX in the City and General Counsel of Veda Timestamps

Send us Fan MailWelcome to the Serious Privacy podcast, where Paul Breitbarth, Ralph O'Brien, and Dr. K Royal, discuss a week in privacy. Let's be honest though - it's really the US Supreme Court reent decisions in Slaughter and Chatrie. Tune in for a lievely discussion. Oh - and we're also on YouTube https://www.youtube.com/@seriousprivacypodcastChatrie v. United States (25-112): Police officers conducted a Fourth Amendment search when they acquired Okello Chatrie's location data from Google because an individual has a reasonable expectation of privacy in his cell-phone location information. Trump v. Slaughter (25-332): The Federal Trade Commission's for-cause removal provision, 15 U. S. C. §41, is contrary to the separation of powers enshrined in the Constitution. If you have comments or questions, find us on LinkedIn and Instagram @seriousprivacy, and on BlueSky under @seriousprivacy.eu, @europaulb.seriousprivacy.eu, @heartofprivacy.bsky.app and @igrobrien.seriousprivacy.eu, and email podcast@seriousprivacy.eu. Rate and Review us! From Season 6, our episodes are edited by Fey O'Brien. Our intro and exit music is Channel Intro 24 by Sascha Ende, licensed under CC BY 4.0. with the voiceover by Tim Foley.

The award-winning Compliance into the Weeds is the only weekly podcast that takes a deep dive into a compliance-related topic, literally going into the weeds to explore it in greater depth. Looking for some hard-hitting insights on compliance? Look no further than Compliance into the Weeds! In this episode of Compliance into the Weeds, Tom Fox and Matt Kelly discuss the June 29 Supreme Court decision in Trump v. Slaughter. This decision upheld the president's power to fire independent agency commissioners at will (with a carve-out for the Federal Reserve), overturning long-standing protections from Humphrey's Executor. Kelly argues the ruling will politicize and degrade regulatory agencies, deter qualified minority-party commissioners, increase rulemaking volatility, and shift power away from Congress toward courts as rules are challenged. As an example, they cite the SEC's proposal to allow semi-annual rather than quarterly reporting, which drew about 80,000 comments, with roughly 99% opposed, yet they predict it may proceed and later be reversed, creating compliance burdens. They then cover Georgia author Jean Wilson, sentenced to 10 years for a $66 million Medicare fraud scheme while writing healthcare compliance books. Key highlights: The Slaughter Ruling Regulatory Volatility Ahead Who Will Serve as Commissioners Fed Carve-out and Court Power Compliance Impact and No Easy Answers Healthcare Compliance Fraud Story (Or is it from The Onion?)  Resources: Matt in Radical Compliance  Tom Instagram Facebook YouTube Twitter LinkedIn A multi-award-winning podcast, Compliance into the Weeds was most recently honored as one of the Top 25 Regulatory Compliance Podcasts, a Top 10 Business Law Podcast, and a Top 12 Risk Management Podcast. Compliance into the Weeds has been conferred the Davey, Communicator, and W3 Awards, all for podcast excellence. Learn more about your ad choices. Visit megaphone.fm/adchoices

Congressional Democrats are holding ICE's feet to the fire over that shooting in Houston as the congressional Hispanic caucus will hold a hearing in Houston next week and congresswoman Sylvia Garcia says they need the public's input because the agency is not releasing details, Austin-area state rep. and Democrat candidate for lieutenant governor Vikki Goodwin is calling on governor Greg Abbott to get lawmakers back at the capitol for a special session on data centers, and Goodwin was joined at a press conference yesterday by various local elected officials from Austin, San Marcos, and Hays county, the Central Texas Regional Mobility Authority is still planning a major expansion of Mopac south between Cesar Chavez and Slaughter lane, but the cost of the project has been jumping way up, raising questions from some people who often use toll roads in the area.See omnystudio.com/listener for privacy information.

Adam White hosts Chief Judge Susan G. Braden (Ret.) to discuss the Supreme Court's decision in Trump v. Slaughter, which held the Federal Trade Commission's statutory independence unconstitutional and explicitly overruled Humphrey's Executor. Braden argues the ruling will ripple across administrative law by treating agencies with authority to file lawsuits on behalf of the United […]

In this week's main episode, Matthew chats with Angie Von Slaughter and Britney Shawley about how to find our authentic selves in the midst of a culture that doesn't always reward self-discovery. If you want to call in to the Bonus Show, leave a voicemail at (530) 332-8020. We'll get to your calls on next Friday's Bonus Show. Or, you can email Matthew at matthew@quoir.com. Join The Quollective today! Use code "matthew50" to save 50% off a yearly subscription. Pick up Keith's and Matt's book, Reading Romans Right, today! Please consider signing up to financially support the Network: QuoirCast on Patreon If you want to be a guest on the show, email keith@quoir.com. LINKS QuoirCast on PatreonQuoirCast on Patheos Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

American history is riddled with collisions between legally defensible rulings and morally costly outcomes. Still, "the purpose of law in any society is to embody a moral framework in practice," says Yuval Levin, who joins Mark Labberton to explore the moral architecture in the foundation of the American legal system, as they review the most recent rulings of the U.S. Supreme Court. The Court has just closed one of the most consequential terms in recent memory, articulating the tension between faithfulness to the Constitution and enacting justice and morality. Together they reflect on why and how a system founded on equality must be both majoritarian and counter-majoritarian at once; why a judge's job is to articulate their legal (rather than their moral) opinion; the rise of Constitutional originalism; why pre-Trump conservative arguments win at this Court while "Trumpy" ones lose; the contemporary relevance of the Federalist Papers; what recourse citizens have when they believe the Court has done wrong; and why the American legal system's worst failures still cluster around race. They explore several of the 2025-26 rulings of the Supreme Court, including imposition of tariffs, immigration enforcement, and birthright citizenship, and the Voting Rights Act. Episode Highlights "The purpose of law in any society is to embody a moral framework in practice." "This is a very good time to get to know The Federalist Papers." "The role of the judge in the American system is to apply the law, not to find the moral answer per se. We hope the law does that, though it doesn't always and we know it." "The American system of government, very much for moral reasons, is expected to be both majoritarian and counter-majoritarian." [Regarding Justice Gorsuch and Justice Kavanaugh] "They grew up in the same place. They literally went to the same high school and had the same history teacher. Their mothers knew each other … They agreed with each other 52% of the time in this last term of the Supreme Court." [Courts to Trump] "You are in charge of the executive branch, but the executive branch is not in charge of the American government." "If you come to this court with a pre-Trump conservative legal argument, you're going to win. If you come to this court with a Trumpy legal argument, you're going to lose." "We experienced the high water mark of executive power about a year ago, and it is now receding." "The areas where it has failed most are concentrated around questions of race. That has been true from the beginning. It is thankfully less true than it used to be, but it is still true, and I think we have to be uniquely sensitive to those questions for that reason." About Yuval Levin Yuval Levin is a senior fellow at the American Enterprise Institute, where he holds the Beth and Ravenel Curry Chair in Public Policy and directs Social, Cultural, and Constitutional Studies. He founded and edits National Affairs, and he is a senior editor at The New Atlantis and a contributing editor at National Review. His books include "The Great Debate," "The Fractured Republic," "A Time to Build," and most recently, "American Covenant." He served on the White House domestic policy staff under George W. Bush and earned his PhD at the University of Chicago's Committee on Social Thought. Helpful Links and Resources Yuval Levin at the American Enterprise Institute: https://www.aei.org/profile/yuval-levin/ National Affairs, the publication Levin founded and edits: https://nationalaffairs.com/authors/detail/yuval-levin American Covenant, by Yuval Levin: https://www.hachettebookgroup.com/titles/yuval-levin/american-covenant/9780465040742/?lens=basic-books A Time to Build, by Yuval Levin: https://www.hachettebookgroup.com/titles/yuval-levin/a-time-to-build/9781541699281/?lens=basic-books The Federalist Papers, full text at the Library of Congress: https://guides.loc.gov/federalist-papers Trump v. Slaughter, the decision overturning Humphrey's Executor (June 29, 2026): https://www.supremecourt.gov/opinions/25pdf/25-332_qn12.pdf Learning Resources, Inc. v. Trump, the IEEPA tariffs decision (February 20, 2026): https://www.supremecourt.gov/opinions/25pdf/24-1287_4gcj.pdf Louisiana v. Callais, the Voting Rights Act decision (April 29, 2026): https://www.supremecourt.gov/opinions/25pdf/24-109_21o3.pdf Coverage of the birthright citizenship ruling in Trump v. Barbara, SCOTUSblog: https://www.scotusblog.com/2026/06/supreme-court-strikes-down-trumps-order-ending-birthright-citizenship/ Show Notes Yuval Levin's legal/constitutional frame: The law exists to put a society's moral convictions into workable practice. On "All men are created equal": If no one has natural authority over anyone else, we decide by majority vote—but equality also means the minority keeps its rights no matter who wins The Constitution assigns those two jobs to different institutions and lets them fight: Congress and the president answer to majorities, the courts deliberately do not Life tenure and fixed salaries exist so justices can protect minority rights without fear of majority reprisal A judge's job is to say what the law is, not to reach the most just result; therefore good judges regularly land where they might wish they didn't. What citizens can do when the Court rules wrongly: If it misread a statute, Congress can rewrite it. Constitutional rulings are harder to undo, but examples include the 16th Amendment (re: income tax) and the 14th Amendment (re: black citizenship, answering the Court directly) The pro-life movement's 50-year strategy to overturn Roe v. Wade Levin on the difficulty of simply being in the political minority, and why the system tries to make everyone a winner sometimes Originalism began as a limit on judicial power and judges' preferences Legal originalism looks for original public meaning, not the drafters' intent Parallel to biblical interpretation, where faithful readers reach wildly different conclusions The challenge of interpreting and applying the Constitution to matters of freedom and democracy today With Congress mostly absent, the Court is now deciding questions of executive power the Federalist Papers were written about Justices Kavanaugh and Gorsuch: Same age, same hometown, same high school history teacher, agreed only 52% of the time this term Trump v. Slaughter ends the independent agency: the Court overturned Humphrey's Executor, and the president can now fire FTC-style commissioners at will 2026 Court rulings also told the president no: on tariffs, on the National Guard in Illinois without the governor's consent, and on birthright citizenship Levin's rule of thumb: Pre-Trump conservative arguments win at this Court, Trumpy arguments lose Yuval Levin: Executive power peaked about a year ago and is now receding. Louisiana v. Callais guts Section 2 of the Voting Rights Act by requiring proof of racial intent A legal bind: Black voters vote Democratic by 90% in the South, so a racist map and a purely partisan map look identical Levin defends the ruling as law and grieves it as outcome—several Black-held Southern seats will likely be redistricted away Why he opposes reauthorizing the VRA with race-based set-aside districts, and where he thinks change should come from instead Software now lets parties gerrymander voter by voter—in New England, Trump won 35% and Republicans hold zero House seats The deceptions of the human heart Does constitutional structure just launder self-interest? The system's deepest failures have always clustered around race Gratitude for the Constitution in America's 250th year #SupremeCourt #Constitution #VotingRights #Originalism #ExecutivePower #FaithAndPolitics #YuvalLevin #Conversing Production Credits Conversing is produced and distributed in partnership with Comment Magazine and Fuller Seminary.

In Trump v. Slaughter, the Supreme Court held 6-3 that the Federal Trade Commission's (FTC) statutory for-cause removal protection violates the separation of powers, overruling Humphrey's Executor. The Court reasoned that subordinates who exercise the President’s power are subject to removal by him. Thus, because the FTC exercises executive power, its Commissioners must be removable by the President at will.Yet in Trump v. Cook, the Court, 5-4, denied the government’s request to stay an injunction blocking the removal of Federal Reserve Governor Lisa Cook. The Court held that a president’s asserted “for cause” statutory basis for removing a Federal Reserve governor is judicially reviewable and that Cook was entitled to notice and an opportunity to respond before removal. Writing for the Court, Chief Justice Roberts reasoned that the statute was enacted against the backdrop of the common law, and that any definition of “cause” in this context must reflect the Federal Reserve’s unique historical status and role.Join us for a webinar breaking down both decisions, the separate opinions, and what they may mean for presidential removal power, independent agencies, the Federal Reserve, and the future of the administrative state.Featuring:Erin M. Hawley, Supreme Court & Appellate Litigation Chair, Lex Politica; Of Counsel, Alliance Defending FreedomAdam White, Laurence H. Silberman Chair in Constitutional Governance and Senior Fellow, American Enterprise Institute; Co-Director, Antonin Scalia Law School’s C. Boyden Gray Center for the Study of the Administrative State

Episode 675. Alice Cooper has always been the undisputed master of theatrical rock, but after seeing the new Alice Cooper & Criss Angel show, we think live rock entertainment just took a major step forward. In this episode of Three Sides of the Coin, we review the concert and discuss why this collaboration feels so fresh, exciting, and unlike anything else on the road today. From the incredible stage production and mind-bending illusions to Alice's timeless performance and the way the show reinvents the concert experience, we break down what works, what surprised us, and why this may be a glimpse into the future of live rock shows. If you're an Alice Cooper fan—or simply love seeing artists push creative boundaries—you won't want to miss this discussion. Three Sides of the Coin https://linktr.ee/ThreeSidesoftheCoin Three Sides of the Coin has moved to its own YouTube Channel, don't miss any future episodes click the link below and click SUBSCRIBE… so easy! Subscribe –    / @threesidesofthecoinkisspodcast   Press requests please contact Michael Brandvold at www.michaelbrandvold.com Since launching in 2012 Three Sides of the Coin has been viewed or listened to over 6,000,000 times. Three Sides of the Coin has been joined by special guests including former KISS lead guitarist Bruce Kulick, Eddie Trunk, AEW Superstar and lead singer of Fozzy Chris Jericho, Angel lead guitarist Punky Meadows, Five Finger Death Punch guitarist Jason Hook, Vinnie Vincent Invasion and Slaughter lead singer Mark Slaughter, Twisted Sister's Dee Snider, comedian Craig Gass, KISS' former business manager Chris Lendt, the Black Veil Brides’ Andy Biersack, Frank Munoz associate producer for Ace Frehley’s Anomaly album, award winning songwriter Adam Mitchell, Ed Kanon (Peter Criss’ drum tech), Kevin Valentine (drummer on KISS’ Psycho Circus album). Three Sides of the Coin was picked (October 2013) as a ‘What’s Hot’ podcast by Apple’s iTunes. In the early ’90s, Michael Brandvold launched the fifth ever website on the Internet devoted to KISS, KISS Otaku. He built, launched and maintained Kissonline.com (KISS’ official web presence). He now owns Michael Brandvold Marketing, providing marketing services and digital strategy to musicians. Tommy Sommers spent 15 years on the record show circuit collecting, trading and selling memorabilia / Kiss merchandise. He is now a successful residential Real Estate agent in the Minneapolis / St. Paul area. Tommy has also produced a KISS song For The Oddfathers and is the owner of Rock Steady Digital Photography. Mark Cicchini, is a world renown KISS collector. KISS have used parts of Mark's vast KISS collection for audio, video & print materials including their book NOTHIN TO LOSE, CD re release of the LOVE GUN album & the VH1 Ultimate Album KISS ALIVE! special as well as many other KISS projects. His wife also makes a mean meatloaf!!! It’s only our opinion… it’s neither right nor wrong. Three Sides of the Coin Radio: www.threesidesofthecoinradio.com Facebook: facebook.com/threesidesofthecoin Twitter: twitter.com/threesidescoin Spotify: spotify.threesidesofthecoin.com YouTube: youtube.threesidesofthecoin.com iHeartRadio: iheartradio.threesidesofthecoin.com Spreaker: spreaker.threesidesofthecoin.com iTunes: itunes.threesidesofthecoin.com TuneIn: tunein.threesidesofthecoin.com Stitcher Radio: stitcher.threesidesofthecoin.com SoundCloud: @michaelbrandvoldmarketing Web: threesidesofthecoin.com Merchandise: shop.threesidesofthecoin.com Three Sides Of The Coin is unofficial & unsanctioned and has no affiliation with the band KISS. MichaelBrandvold.com Three Sides of the Coin Monthly Option 1 : $1.99 USD – monthlyOption 2 : $5.00 USD – monthlyOption 3 : $9.99 USD – monthly If you would rather make a one time donation of any amount, please use the Donate button below.

At the center is a lawsuit Donald Trump filed against the IRS and the Treasury Department after a contractor leaked his tax information. As Hawk lays out, the suit appears to have been time-barred by a two-year statute of limitations, sought far more than the roughly $10,000 the statute allowed, and pitted Trump against agencies he controls, meaning there was no genuine adversity between the parties. The judge, joined by a brief from 35 former federal judges, described it as a fraud on the court. The collusive settlement reportedly created a large compensation fund and an addendum, signed by Blanche, granting Trump and his associates immunity from IRS investigations. Hawk compares it to the ABC and Disney defamation payout, connects it to Trump v. Slaughter, and argues the DOJ's credibility with judges is collapsing. SUPPORT & CONNECT WITH HAWK- Support on Patreon: https://www.patreon.com/mdg650hawk - Hawk's Merch Store: https://hawkmerchstore.com - Connect on TikTok: https://www.tiktok.com/@mdg650hawk7thacct - Connect on TikTok: https://www.tiktok.com/@hawkeyewhackamole - Connect on BlueSky: https://bsky.app/profile/mdg650hawk.bsky.social - Connect on Substack: https://mdg650hawk.substack.com - Connect on Facebook: https://www.facebook.com/hawkpodcasts - Connect on Instagram: https://www.instagram.com/mdg650hawk - Connect on Twitch: https://www.twitch.tv/mdg650hawk ALL HAWK PODCASTS INFO- Additional Content Available Here: https://www.hawkpodcasts.comhttps://www.youtube.com/@hawkpodcasts- Listen to Hawk Podcasts On Your Favorite Platform:Spotify: https://spoti.fi/3RWeJfyApple Podcasts: https://apple.co/422GDuLYouTube: https://youtube.com/@hawkpodcastsiHeartRadio: https://ihr.fm/47vVBdPPandora: https://bit.ly/48COaTB

Adam White hosts Chief Judge Susan G. Braden (Ret.) to discuss the Supreme Court's decision in Trump v. Slaughter, which held the Federal Trade Commission's statutory independence unconstitutional and explicitly overruled Humphrey's Executor. Braden argues the ruling will ripple across administrative law by treating agencies with authority to file lawsuits on behalf of the United States as executive agencies subject to presidential control, and by limiting “independent” agencies to advisory roles.Sign up for email updates from the Gray Center hereJudge Braden's paper on the future of the FTCAdam White's analysis of Slaughter and Cook in SCOTUSblog

Slaughter, McMahon, Single Elim, Double Elim, Swiss, Fold… what does it all mean?? Let's review tournament formats so you can be a tournament-savvy Go player!Join the Discord⁠Support Star Point⁠The Star Point Store

The investigation fractures when the Wardens discover that one of their captives has vanished into the night—taking what little certainty they had with him.Forced to divide their efforts, the group follows diverging paths. When the trail finally converges, the answers waiting there are anything but reassuring.About:Remnants of Rimidalv is a gothic horror actual play podcast focused on supernatural investigation, monster-of-the-week mysteries, and dark fantasy storytelling, powered by the Daggerheart™ ruleset and brought to life by the cast of Missing Roll Player Found.Support Us:Want to continue the investigation?Patrons get access to additional episodes of Remnants of Rimidalv, including content released ahead of the public feed.Links:Website: https://missingrollplayerfound.com/Patreon: https://patreon.com/missingrollplayerfoundLinktree: https://linktr.ee/rollfoundMusic Attribution:Michael GhelfiLink: https://www.patreon.com/MichaelGhelfiMonument StudiosLink: https://www.monumentstudios.net/Other Music and Sounds by Syrinscape Link: https://syrinscape.com/?att_missing_roll_player_found Because Epic Games Need Epic Sounds Support this podcast at — https://redcircle.com/rollfound/donations

Jon Herold and Chris Paul open the Saturday show with a livestreamer guest who sat through the entire Tyler Robinson preliminary hearing, breaking down the evidence, the courtroom optics, and why the "case closed" narrative circulating online doesn't hold up the way people think. They dig into the shaky video evidence, draw uncomfortable parallels to a past politically charged trial everyone remembers, and call out the same familiar faces steering the narrative in a suspiciously convenient direction. Second half shifts gears into election territory: redistricting fights breaking out across multiple states, voter ID and mail in ballot battles tied to the Slaughter decision, and whispers about what the midterms could actually look like, including some uncomfortable "what if they just cancel them" talk. Add in a fresh round of Iran and Strait of Hormuz headlines for good measure. Heavy topics, but handled with the show's usual mix of skepticism and dark humor.

The Supreme Court just wrapped one of its most consequential terms in decades—and Amicus brought together three heavyweight legal experts to break down the damage. Their conversation centers on the biggest themes of the recent term: Congress has been sidelined completely; the Court is the final arbiter of all things; hubris has become the methodology, and the midterms should worry us all. Dahlia Lithwick and Mark Joseph Stern are joined by civil rights lawyer Sherrilyn Ifill, legal historian Nikolas Bowie, and Supreme Court expert Stephen Vladeck. The panel dissects a term defined by judicial supremacy: the gutting of the Voting Rights Act in Callais and Milligan, the “unitary executive” power grab in Trump v. Slaughter, the birthright citizenship fight that never should have been argued, and a shadow docket that increasingly infects the merits docket. They trace how the court has hollowed out Congress' power to legislate, rewritten the meaning of the Reconstruction Amendments, and applied its own rules with striking inconsistency—all while shrugging off any need to justify itself.The conversation closes with a hard question: What can actually be done about a court that's this unaccountable? The panel offers concrete ideas, from congressional hearings on court reform to a new Voting Rights Act—and the hosts preview Amicus' upcoming series, By the People.This is part of Opinionpalooza, Slate's coverage of the major decisions from the Supreme Court. The best way to support our work is by joining Slate Plus. (If you are already a member, consider a donation or merch!)Want more Amicus? Join Slate Plus to unlock weekly bonus episodes with exclusive legal analysis. Plus, you'll access ad-free listening across all your favorite Slate podcasts. You can subscribe directly from the Amicus show page on Apple Podcasts and Spotify. Or, visit slate.com/amicusplus to get access wherever you listen. Hosted on Acast. See acast.com/privacy for more information.

The Supreme Court just wrapped one of its most consequential terms in decades—and Amicus brought together three heavyweight legal experts to break down the damage. Their conversation centers on the biggest themes of the recent term: Congress has been sidelined completely; the Court is the final arbiter of all things; hubris has become the methodology, and the midterms should worry us all. Dahlia Lithwick and Mark Joseph Stern are joined by civil rights lawyer Sherrilyn Ifill, legal historian Nikolas Bowie, and Supreme Court expert Stephen Vladeck. The panel dissects a term defined by judicial supremacy: the gutting of the Voting Rights Act in Callais and Milligan, the “unitary executive” power grab in Trump v. Slaughter, the birthright citizenship fight that never should have been argued, and a shadow docket that increasingly infects the merits docket. They trace how the court has hollowed out Congress' power to legislate, rewritten the meaning of the Reconstruction Amendments, and applied its own rules with striking inconsistency—all while shrugging off any need to justify itself.The conversation closes with a hard question: What can actually be done about a court that's this unaccountable? The panel offers concrete ideas, from congressional hearings on court reform to a new Voting Rights Act—and the hosts preview Amicus' upcoming series, By the People.This is part of Opinionpalooza, Slate's coverage of the major decisions from the Supreme Court. The best way to support our work is by joining Slate Plus. (If you are already a member, consider a donation or merch!)Want more Amicus? Join Slate Plus to unlock weekly bonus episodes with exclusive legal analysis. Plus, you'll access ad-free listening across all your favorite Slate podcasts. You can subscribe directly from the Amicus show page on Apple Podcasts and Spotify. Or, visit slate.com/amicusplus to get access wherever you listen.Need to set up your Slate Plus feed? If you subscribed through Slate.com, check out our FAQ at slate.com/podcastfaqs for easy instructions. Members subscribed via Apple Podcasts get automatic access—no setup required. Hosted on Acast. See acast.com/privacy for more information.

July 10, 2026Trump refuses to sign the bipartisan housing bill because the Senate won't pass the SAVE America Act, an act that will suppress voting, The housing bill was designed to address the housing crisis, Trump is making clear that his focus is not on governing, but on rigging the 2026 election, Trump's appointees in the Department of Justice have been trying to intimidate election officials, Trump has fired the last two Democratic members of the Election Assistance Commission, claiming he has the right to do so under the Slaughter decision, The White House is fortifying the North Portico entrance to the White House, covering the portico with scaffolding, The administration intends to put fencing around Lafayette Square and parts of Pennsylvania Avenue, suggesting to the nation and the world that the government is exclusive and fearful of its own citizens. Watch today's recording here: https://www.youtube.com/live/g9TUa1Rwd6U?si=T8_KKcHQZElhpnZ-Get full, free access to Letters from an American here: https://heathercoxrichardson.substack.com/subscribeYou can also find me:Bluesky: https://bsky.app/profile/hcrichardson.bsky.socialInstagram: https://www.instagram.com/heathercoxrichardson/?hl=enFacebook: https://www.facebook.com/heathercoxrichardson/YouTube: https://www.youtube.com/@heathercoxrichardson Get full access to Letters from an American at heathercoxrichardson.substack.com/subscribe

The Supreme Court just wrapped one of its most consequential terms in decades—and Amicus brought together three heavyweight legal experts to break down the damage. Their conversation centers on the biggest themes of the recent term: Congress has been sidelined completely; the Court is the final arbiter of all things; hubris has become the methodology, and the midterms should worry us all. Dahlia Lithwick and Mark Joseph Stern are joined by civil rights lawyer Sherrilyn Ifill, legal historian Nikolas Bowie, and Supreme Court expert Stephen Vladeck. The panel dissects a term defined by judicial supremacy: the gutting of the Voting Rights Act in Callais and Milligan, the “unitary executive” power grab in Trump v. Slaughter, the birthright citizenship fight that never should have been argued, and a shadow docket that increasingly infects the merits docket. They trace how the court has hollowed out Congress' power to legislate, rewritten the meaning of the Reconstruction Amendments, and applied its own rules with striking inconsistency—all while shrugging off any need to justify itself.The conversation closes with a hard question: What can actually be done about a court that's this unaccountable? The panel offers concrete ideas, from congressional hearings on court reform to a new Voting Rights Act—and the hosts preview Amicus' upcoming series, By the People.This is part of Opinionpalooza, Slate's coverage of the major decisions from the Supreme Court. The best way to support our work is by joining Slate Plus. (If you are already a member, consider a donation or merch!)Want more Amicus? Join Slate Plus to unlock weekly bonus episodes with exclusive legal analysis. Plus, you'll access ad-free listening across all your favorite Slate podcasts. You can subscribe directly from the Amicus show page on Apple Podcasts and Spotify. Or, visit slate.com/amicusplus to get access wherever you listen. Hosted on Acast. See acast.com/privacy for more information.

En este nonagésimo noveno episodio del ¡Bipartidismo Strikes Back! (una producción del #PodcastLaTrinchera), Christian Sobrino y Luis Balbino discuten los orígenes geográfico de Washington D.C., la comparecencia reciente de Pablo José Hernández en los podcasts Café En Mano y Puestos P'al Problema, lo más reciente de la saga épica entre el Secretario de la Gobernación Francisco Domenech versus el ex Secretario de Desarrollo Económico Sebastián Negrón Reichard, las implicaciones políticas y de gobernanza sobre la Gobernadora y el Partido Nuevo Progresista, el anuncio del Alcalde Miguel Romero de una emisión de deuda pública del Municipio de San Juan por ~$350 millones y su calificación crediticia para inversión por la casa acreditadora Fitch, los detalles regulatorios federales que nadie ha discutido del estacionamiento multipiso propuesto para el parque del Escambrón, las decisiones del Tribunal Supremo de los Estados Unidos sobre el poder de remoción de oficiales del Gobierno Federal en Trump v. Slaughter y Trump v. Cook, sus posibles implicaciones en la jurisprudencia constitucional local de Puerto Rico y mucho más.Este episodio es presentado a ustedes por:- San Juan Lincoln, donde encontrarán una exclusiva colección de vehículos de lujo diseñados para satisfacer todas sus expectativas. Allí descubrirán la presencia imponente de la Navigator, la elegancia dinámica de la Aviator, la sofisticación refinada de la Corsair y el diseño moderno de la Nautilus. Pueden visitarlos en la Avenida Kennedy en San Juan para explorar lo que una SUV de lujo debe ser. Su equipo está listo para ofrecerles una experiencia inigualable. Para más información u orientación, llamen al 787-331-5023.- La Tigre,  el primer destino en Puerto Rico para encontrar una progresiva selección de moda Italiana, orientada a una nueva generación de profesionales que reconocen que una imagen bien curada puede aportar a nuestro progreso profesional. Detrás de La Tigre, se encuentra un selecto grupo de expertos en moda y estilo personal, que te ayudarán a elaborar una imagen con opciones de ropa a la medida y al detal de origen Italiano para él, y colecciones europeas para ella. Visiten la boutique de La Tigre ubicada en Ciudadela en Santurce o síganlos en Instagram en @shoplatigre.Por favor suscribirse a La Trinchera con Christian Sobrino en su plataforma favorita de podcasts y compartan este episodio con sus amistades.Para contactar a Christian Sobrino y #PodcastLaTrinchera, nada mejor que mediante las siguientes plataformas:Facebook: @PodcastLaTrincheraTwitter: @zobrinovichInstagram: zobrinovichTikTok: @podcastlatrincheraYouTube: @PodcastLaTrinchera

This week, Stay Tuned listeners can hear a full episode of Preet Bharara and Joyce Vance's weekly Insider podcast. While Insider episodes are typically available only to subscribers, we're unlocking this one for everyone. To listen to future episodes, and get 25% off the Insider membership in honor of America's 250th anniversary, head to staytuned.substack.com/250.  In this episode, Preet and Joyce are joined by NYU Law professor and co-host of the Strict Scrutiny podcast Melissa Murray to break down some of the Supreme Court's most consequential decisions from their latest term: – Trump v. Barbara, where the Court struck down President Trump's executive order restricting birthright citizenship; – National Republican Senatorial Committee v. Federal Election Commission, where the Court struck down a federal law limiting the amount of money political parties can spend on a political candidate; – Trump v. Cook, where the Court prevented Trump from firing Fed Chair Lisa Cook; – Trump v. Slaughter, where the Court allowed Trump to fire the commissioner of the Federal Trade Commission; – Watson v. RNC, where the Court ruled that mail-in ballots that arrive a few days after Election Day can be counted; and – West Virginia v. B.P.J., where the Court upheld state bans on transgender athletes from women's and girls' school sports teams. This conversation was recorded on Tuesday, June 30. Special thanks to the Aspen Ideas Festival, where Melissa Murray recorded the podcast. Shop Stay Tuned merch and featured books by our guests in our ⁠Amazon storefront⁠. Have a question for Preet? Ask @PreetBharara on BlueSky, or Twitter with the hashtag #AskPreet. Email us at staytuned@cafe.com, or call 833-997-7338 to leave a voicemail. Stay Tuned with Preet is brought to you by ⁠CAFE⁠ and the Vox Media Podcast Network. Learn more about your ad choices. Visit podcastchoices.com/adchoices

This week, Scott sat down with his Lawfare colleagues Editor in Chief and co-host emeritus Benjamin Wittes and Senior Editors Anna Bower and Michael Feinberg to talk through the latest in national security news, including:“Humphrey's Executioner.” On June 29, the Supreme Court closed out its term with a trio of decisions on the president's power to fire officials at supposedly independent agencies. In Trump v. Slaughter, a 6–3 majority upheld Trump's firing of FTC Commissioner Rebecca Slaughter and overruled the 90-year-old precedent Humphrey's Executor, handing the president at-will removal power over roughly two dozen multimember agencies. The same day, in Trump v. Cook, the Court refused 5–4 to let Trump remove Federal Reserve Governor Lisa Cook, carving out a special exemption for the central bank. And a day later, in Blanche v. Perlmutter, the justices declined to let Trump oust Register of Copyrights Shira Perlmutter, whose office sits within the legislative branch. Taken together, what do these cases tell us about the unitary executive and the future of agency independence?“For Your Lies Only.” The Office of the Director of National Intelligence is in freefall. Since Bill Pulte—a housing-finance official with no intelligence background—took over as acting DNI on June 19, he has demanded a roster of every employee, fired the head of the office that oversees the President's Daily Brief, and all but liquidated the National Intelligence Council. The fight over his appointment has already cost the government its Section 702 surveillance authority, which lawmakers let lapse rather than leave in his hands, and Trump abruptly canceled the confirmation hearing for his own permanent nominee, Jay Clayton, to keep the “less shackled” Pulte in place. How did the nation's top intelligence coordinator get here—and how much damage can a politicized ODNI actually do?“Fixer Upper.” In one of the stranger turns of the Trump era, Michael Cohen—the former “fixer” whose testimony helped convict Trump of 34 felonies—says he and the president have reconciled. Cohen, who once vowed to flee the country if Trump won, said that the ice between them “didn't just melt, it broke,” and he is now taking a weekend slot on a conservative station with what he says was Trump's “glowing recommendation.” The thaw arrives as Trump's appeal of his New York conviction and related civil fraud judgment grind forward—and after Cohen publicly claimed he felt “pressured and coerced” to testify. What might Cohen's turn mean for that pending appeal?In object lessons, everyone is in a unifying mood. Ben demonstrates how RAGtime, his co-creation with AI overlord Claude to develop and analyze datasets, can find common cause between this week's co-hosts. Mike is enthusiastic about the new Criterion Collection bringing together all of Stanley Kubrick's works. Scott is reaching for perhaps humanity's greatest unifier—a certain beverage that can be enjoyed across political persuasions and coasts alike. And Anna is bringing us all to the world of personal essays with Jo Ann Beard's “The Fourth State of Matter.” To receive ad-free podcasts, become a Lawfare Material Supporter at www.patreon.com/lawfare. You can also support Lawfare by making a one-time donation at https://givebutter.com/lawfare-institute.Support this show http://supporter.acast.com/lawfare. Hosted on Acast. See acast.com/privacy for more information.

This week, Scott sat down with his Lawfare colleagues Editor in Chief and co-host emeritus Benjamin Wittes and Senior Editors Anna Bower and Michael Feinberg to talk through the latest in national security news, including:“Humphrey's Executioner.” On June 29, the Supreme Court closed out its term with a trio of decisions on the president's power to fire officials at supposedly independent agencies. In Trump v. Slaughter, a 6–3 majority upheld Trump's firing of FTC Commissioner Rebecca Slaughter and overruled the 90-year-old precedent Humphrey's Executor, handing the president at-will removal power over roughly two dozen multimember agencies. The same day, in Trump v. Cook, the Court refused 5–4 to let Trump remove Federal Reserve Governor Lisa Cook, carving out a special exemption for the central bank. And a day later, in Blanche v. Perlmutter, the justices declined to let Trump oust Register of Copyrights Shira Perlmutter, whose office sits within the legislative branch. Taken together, what do these cases tell us about the unitary executive and the future of agency independence?“For Your Lies Only.” The Office of the Director of National Intelligence is in freefall. Since Bill Pulte—a housing-finance official with no intelligence background—took over as acting DNI on June 19, he has demanded a roster of every employee, fired the head of the office that oversees the President's Daily Brief, and all but liquidated the National Intelligence Council. The fight over his appointment has already cost the government its Section 702 surveillance authority, which lawmakers let lapse rather than leave in his hands, and Trump abruptly canceled the confirmation hearing for his own permanent nominee, Jay Clayton, to keep the “less shackled” Pulte in place. How did the nation's top intelligence coordinator get here—and how much damage can a politicized ODNI actually do?“Fixer Upper.” In one of the stranger turns of the Trump era, Michael Cohen—the former “fixer” whose testimony helped convict Trump of 34 felonies—says he and the president have reconciled. Cohen, who once vowed to flee the country if Trump won, said that the ice between them “didn't just melt, it broke,” and he is now taking a weekend slot on a conservative station with what he says was Trump's “glowing recommendation.” The thaw arrives as Trump's appeal of his New York conviction and related civil fraud judgment grind forward—and after Cohen publicly claimed he felt “pressured and coerced” to testify. What might Cohen's turn mean for that pending appeal?In object lessons, everyone is in a unifying mood. Ben demonstrates how RAGtime, his co-creation with AI overlord Claude to develop and analyze datasets, can find common cause between this week's co-hosts. Mike is enthusiastic about the new Criterion Collection bringing together all of Stanley Kubrick's works. Scott is reaching for perhaps humanity's greatest unifier—a certain beverage that can be enjoyed across political persuasions and coasts alike. And Anna is bringing us all to the world of personal essays with Jo Ann Beard's “The Fourth State of Matter.” To receive ad-free podcasts, become a Lawfare Material Supporter at www.patreon.com/lawfare. You can also support Lawfare by making a one-time donation at https://givebutter.com/lawfare-institute. Hosted on Acast. See acast.com/privacy for more information.

This week John Eastman, Founding Director at Claremont's Center for Constitutional Jurisprudence, joins the show to discuss recent landmark Supreme Court rulings. In Trump v. Slaughter, the Court ruled to hold executive agency heads accountable to the president. Meanwhile, delivering the Court's opinion in Trump v. Barbara, Chief Justice Roberts upheld a broad conception of birthright citizenship. Where do the conservative and progressive movements go from here?Recommended:1776, Not 1608: What the Supreme Court Got Wrong on Birthright Citizenship This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit claremontinstitute.substack.com/subscribe

In this episode, legal scholars Gillian Metzger, Julian Mortenson, and Ilya Somin discuss the Supreme Court's approach to executive power in recent decisions. Thomas Donnelly, lead scholar at the National Constitution Center, moderates. This conversation was recorded live in Philadelphia on July 7, 2026, as part of the National Constitution Center's 2026 Supreme Court Review, which is presented in partnership with the Center on the Structural Constitution at Texas A&M University School of Law. The program featured three panels with scholars of differing perspectives examining the Court's 2025-2026 term, its approach to executive power, and civil discourse within and concerning the Court.    Resources 2026 Supreme Court Review: Key Decisions, Executive Power, Civil Discourse, National Constitution Center  Learning Resources, Inc. v. Trump (2026) Trump v. Slaughter (2026) Trump v. Cook (2026) Trump v. Illinois (2025) Stay Connected and Learn More  Stay connected with We the People—follow, rate, and review the show wherever you listen.  Questions or comments? Email podcast@constitutioncenter.org.  Follow @ConstitutionCtr on social media and sign up to receive Constitution Weekly, our email roundup of constitutional news and debate.  Support our important work by making a donation today.  ⁠⁠⁠⁠Donate

Today on the show: The genocidal slaughter in illegally occupied Palestine continues. Our weekly segment PinkNotes/our collaboration with CodePink. We'll feature a special report on Dr Hussam Abu Safiya, Palestinian doctor currently near death and facing a continual program of Israeli torture and starvation. Our weekly news report from the Electronic Intifada with Nora Barrows Friedman. An award winning front-line investigative news magazine, that focuses on human, civil and workers right, issues of war and peace, Global Warming, racism and poverty, and other issues. Hosted by Dennis J. Bernstein. The post The Genocidal Slaughter in Illegally Occupied Palestine Continues appeared first on KPFA.

he Supreme Court ruled in two cases framing Unitary Executive theory.  So it's entirely appropriate that we have two great experts on the topic joining us.  Steve Calabresi literally wrote the book on this theory, and perhaps it's not surprising that he is more pure than the Court itself.  Meanwhile, Vik Amar has seen his theories concerning non-delegation and Congressional lock-in come up again and again this term - and here we see it again; if the agencies were meant by Congress to preserve its role in exercising certain powers, how can it reclaim those powers when the independence of the agencies is eliminated?  Meanwhile, Akhil, cited in the Slaughter case, reviews the originalism involved in the opinions, and puts the cases in an overall perspective of sorts.  All in all, an impressive resource for you to draw on.  Lawyers and Judges are eligible for Continuing Legal Education credit by visiting podcast.njsba.com after listening.

Author Liz Shipton joins us to talk about her new feminist dystopian fantasy novel Mother & Slaughter — a bold, genre-bending story set in a world where women are stripped of their magic at birth and forced to choose between two paths: mother or gladiator. In this author interview, Liz breaks down how she uses fantasy to explore heavy real-world themes, patriarchy, motherhood and choice, women's friendships, race, and trans rights, all without losing the dark humor and sharp banter she's known for. If you love feminist fantasy books, found family tropes, dystopian world-building, and authors unafraid to write politically charged fiction, this episode is for you. Fans of Margaret Atwood, Terry Pratchett, and dark, satirical fantasy will not want to miss this conversation. Sponsor: VIONIC Use code BOOKTALK at checkout for 15% off your entire order at www.vionicshoes.com when you log into your account. Share your thoughts for a chance to be featured! Submit them at ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠booktalkforbooktok.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ for a future mini-episode or exclusive Patreon discussion. Support the Show:  Patreon: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠patreon.com/booktalkforbooktok⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠  Merch: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Etsy Store⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow Us on Social: Instagram: @BookTalkForBookTok TikTok: @BookTalkForBookTok YouTube: @BookTalkForBookTok Topics covered: fantasy writing process, feminist dystopian fiction, women and motherhood, patriarchy in fiction, trans representation in books, female friendship in fiction, writing complex FMCs, book club discussion, author interview podcast. Learn more about your ad choices. Visit megaphone.fm/adchoices

In a live conversation on YouTube, Lawfare Editor in Chief Benjamin Wittes sat down with Senior Editors Eric Columbus, Kate Klonick, Molly Roberts, and Roger Parloff to discuss the Supreme Court's rulings in the birthright citizenship case and Slaughter, indictments over purported vandalism at the Reflecting Pool, former CIA Director John Brennan's civil suit against the Department of Justice, geofencing warrants, and more.You can find information on legal challenges to Trump administration actions here. And check out Lawfare's new homepage on the litigation, new Bluesky account, and new WITOAD merch.To receive ad-free podcasts, become a Lawfare Material Supporter at www.patreon.com/lawfare. You can also support Lawfare by making a one-time donation at https://givebutter.com/lawfare-institute.Support this show http://supporter.acast.com/lawfare. Hosted on Acast. See acast.com/privacy for more information.

After a quick check on the Nina Totenberg embargo kerfuffle and one more revelation from Justice Thomas's memoir, we devote the episode to Chatrie v. United States, the Court's first major Fourth Amendment decision in years. We trace how the geofence-warrant ruling builds on — and goes beyond — Katz, United States v. Jones, and Carpenter v. United States, and what's left of the third-party doctrine and the mosaic theory. Will explains the positive law model of the Fourth Amendment; Dan tries to claim Justice Gorsuch's separate opinion for his general-law approach. We close with the dissents, the advisory-opinion objection, and whether the Court should be saying more about the Fourth Amendment or less about everything. Along the way: Venmo heroin deals, smart microwaves, whether Will has genuinely forgotten his passcode, and a field-trip assignment for Chicagoland listeners.Highlights[00:00:21] Cold open: three recording sessions in three days, and the theories swirling around the Nina Totenberg screw-up[00:02:04] Justice Alito's embargo story: the press-room idea he liked until he learned they have to let the journalists out of the room[00:03:04] My Grandfather's Son follow-up: Justice Thomas's over-cautious marijuana confession[00:04:35] Cleanup-order watch: GVRs still owed in light of Slaughter, Landor, and B.P.J.[00:04:57] The main event: Chatrie v. United States, the geofence-warrant case — and why a 5-Justice Fourth Amendment majority is a good get for Justice Kagan[00:06:51] What a geofence actually is (there is no fence) and the three-step Google Location History protocol[00:13:52] General warrants, particularity, the University of Chicago backpacks hypo, and Ybarra v. Illinois — with a field-trip assignment to the Aurora Tap House[00:21:09] Three questions — search, reasonableness, exclusion — and the clever cert grant that fenced out the exclusionary rule[00:25:52] The setup: Jones and the two tracks of Fourth Amendment doctrine, step 0 (the third-party doctrine), then Carpenter[00:33:13] Will's positive law model of the Fourth Amendment, and Justice Gorsuch's Carpenter dissent[00:36:29] Orin Kerr's mosaic theory: "building out the mosaic Byzantine style, it starts to become searchier"[00:39:15] Kagan shuts the mosaic door: where the Fourth Amendment applies, it applies regardless of quantity — a fortiori from Carpenter[00:47:36] What survives of the third-party doctrine: Strava, public Venmo feeds, and the "For heroin" hypo[00:50:53] Why it's a big deal: the anti-mosaic holding, and a majority of Justices revealed as Carpenter people[00:54:48] Tangent: Face ID, the Fifth Amendment, Will's forgotten passcodes, and his enemies[00:56:55] Does the Stored Communications Act make all this academic?[00:58:34] The Jackson concurrence's particularity nudge, en banc remand practice, and Levy & Newman on unwritten circuit rules[01:00:43] The Gorsuch concurrence: papers, effects, property — Will disowns it and gives it to Dan's general-law approach[01:08:36] The Alito dissent: the advisory-opinion objection, footnote 4, the Davis carve-out, and the NRA v. Vullo precedent for a do-over remand[01:18:59] Justice Barrett's à-la-carte joins and her one-paragraph dissent — "we should have more dissents like this"[01:22:31] Two kinds of law professors, "The Supreme Court Flunks Trusts," and whether we're good on law[01:24:15] Sign-off: the rare promise of a schedule — a fourth recording session this weekRelevant linksCasesChatrie v. United States — slip opinionYbarra v. IllinoisUnited States v. JonesKatz v. United StatesSmith v. MarylandCarpenter v. United States — slip opinionFlorida v. JardinesDavis v. United StatesNRA v. VulloCommentary & articlesAmy Howe, "Court rules that law enforcement's use of 'geofence warrant' was a 'search'" (SCOTUSblog)Kate Shaw, Will Baude & Steve Vladeck, end-of-term Supreme Court roundtable (N.Y. Times, July 1, 2026) — the "hosannas" Will mentions on airWilliam Baude & James Y. Stern, "The Positive Law Model of the Fourth Amendment," 129 Harv. L. Rev. 1821 (2016)Danielle D'Onfro & Daniel Epps, "The Fourth Amendment and General Law," 132 Yale L.J. 910 (2023)Orin S. Kerr, "The Mosaic Theory of the Fourth Amendment," 111 Mich. L. Rev. 311 (2012)John H. Langbein, "The Supreme Court Flunks Trusts," 1990 Sup. Ct. Rev. 207OtherClarence Thomas, My Grandfather's Son (2007)Jon O. Newman & Marin K. Levy, Written and Unwritten: The Rules, Internal Procedures, and Customs of the United States Courts of Appeals (Cambridge 2024)

The Supreme Court's term just ended, and the results were mixed for voting rights. Democracy Docket founder Marc Elias breaks down the wins — including a 5-4 ruling protecting mail-in ballots postmarked by Election Day — and the losses, including Louisiana v. Callais, which gutted Section 2 of the Voting Rights Act, and the Slaughter case, which lets Trump fire independent agency officials at will (except at the Federal Reserve).  But there's no time to sit with these rulings. Trump doesn't accept a loss and move on. With 196 voting cases pending nationwide and the midterms just four months away, Marc explains why the pro-democracy movement needs to stay ready for what comes next.

Episode 674. Original KISS Catalog Consultant Robert V. Conte returns to Three Sides of the Coin this week to discuss the Anaheim Stadium 1976 concert about to be officially released after locating those tapes over three decades ago, some Dressed to Kill material that did not appear on the box set, and updates us on his forthcoming book, KISS FAN FOREVER! Visit: www.kissfanforever.com Three Sides of the Coin https://linktr.ee/ThreeSidesoftheCoin Three Sides of the Coin has moved to its own YouTube Channel, don't miss any future episodes click the link below and click SUBSCRIBE… so easy! Subscribe –    / @threesidesofthecoinkisspodcast   Press requests please contact Michael Brandvold at www.michaelbrandvold.com Since launching in 2012 Three Sides of the Coin has been viewed or listened to over 6,000,000 times. Three Sides of the Coin has been joined by special guests including former KISS lead guitarist Bruce Kulick, Eddie Trunk, AEW Superstar and lead singer of Fozzy Chris Jericho, Angel lead guitarist Punky Meadows, Five Finger Death Punch guitarist Jason Hook, Vinnie Vincent Invasion and Slaughter lead singer Mark Slaughter, Twisted Sister's Dee Snider, comedian Craig Gass, KISS' former business manager Chris Lendt, the Black Veil Brides’ Andy Biersack, Frank Munoz associate producer for Ace Frehley’s Anomaly album, award winning songwriter Adam Mitchell, Ed Kanon (Peter Criss’ drum tech), Kevin Valentine (drummer on KISS’ Psycho Circus album). Three Sides of the Coin was picked (October 2013) as a ‘What’s Hot’ podcast by Apple’s iTunes. In the early ’90s, Michael Brandvold launched the fifth ever website on the Internet devoted to KISS, KISS Otaku. He built, launched and maintained Kissonline.com (KISS’ official web presence). He now owns Michael Brandvold Marketing, providing marketing services and digital strategy to musicians. Tommy Sommers spent 15 years on the record show circuit collecting, trading and selling memorabilia / Kiss merchandise. He is now a successful residential Real Estate agent in the Minneapolis / St. Paul area. Tommy has also produced a KISS song For The Oddfathers and is the owner of Rock Steady Digital Photography. Mark Cicchini, is a world renown KISS collector. KISS have used parts of Mark's vast KISS collection for audio, video & print materials including their book NOTHIN TO LOSE, CD re release of the LOVE GUN album & the VH1 Ultimate Album KISS ALIVE! special as well as many other KISS projects. His wife also makes a mean meatloaf!!! It’s only our opinion… it’s neither right nor wrong. Three Sides of the Coin Radio: www.threesidesofthecoinradio.com Facebook: facebook.com/threesidesofthecoin Twitter: twitter.com/threesidescoin Spotify: spotify.threesidesofthecoin.com YouTube: youtube.threesidesofthecoin.com iHeartRadio: iheartradio.threesidesofthecoin.com Spreaker: spreaker.threesidesofthecoin.com iTunes: itunes.threesidesofthecoin.com TuneIn: tunein.threesidesofthecoin.com Stitcher Radio: stitcher.threesidesofthecoin.com SoundCloud: @michaelbrandvoldmarketing Web: threesidesofthecoin.com Merchandise: shop.threesidesofthecoin.com Three Sides Of The Coin is unofficial & unsanctioned and has no affiliation with the band KISS. MichaelBrandvold.com Three Sides of the Coin Monthly Option 1 : $1.99 USD – monthlyOption 2 : $5.00 USD – monthlyOption 3 : $9.99 USD – monthly If you would rather make a one time donation of any amount, please use the Donate button below.

The Supreme Court just wrapped the term with a blitz of extremely consequential decisions, and the smoke hasn't cleared yet. (In fact, it's looming like a dark storm cloud over our Fourth of July and America 250th festivities…) In this week's episode, cohosts Dahlia Lithwick and Mark Joseph Stern focus on two of the term's bleakest legacies: first, the court's catastrophically bad use of history and second, the demise of independent agencies. They discuss the court's 6–3 decision in Trump v. Slaughter, which was rooted in shoddy originalism and reckless disregard for how an accountable democratic government actually functions. Meanwhile, the dissenters in Trump v. Barbara would have weaponized bogus history to end birthright citizenship for millions. To unpack this, Dahlia and Mark sit down with two law professors: Sam Bagenstos of the University of Michigan and a former general counsel at the Department of Health and Human Services, and Jed Shugerman of Boston University (whom Justices Sonia Sotomayor and Ketanji Brown Jackson cited this week). They deconstruct the myriad ways in which the high court ultimately embarrassed itself, history, and truth, with decisions that will affect millions of Americans for years to come.Slate Plus members! Don't miss the Amicus Plus Breakfast Table on Friday, July 10th at noon EDT. Mark Joseph Stern and Dahlia Lithwick will be in conversation with Professors Steve Vladeck, Sherrilyn Ifill, and Niko Bowie. Our Pluskateers can sign up to be in the live, online audience for this special end-of-term conversation. Go to slate.com/breakfasttable to sign up for online access. (Psst: Submit your questions now to amicus@slate.com)This is part of Opinionpalooza, Slate's coverage of the major decisions from the Supreme Court. The best way to support our work is by joining Slate Plus. (If you are already a member, consider a donation or merch!)Want more Amicus? Join Slate Plus to unlock weekly bonus episodes with exclusive legal analysis. Plus, you'll access ad-free listening across all your favorite Slate podcasts. You can subscribe directly from the Amicus show page on Apple Podcasts and Spotify. Or, visit slate.com/amicusplus to get access wherever you listen. Hosted on Acast. See acast.com/privacy for more information.

The Supreme Court just wrapped the term with a blitz of extremely consequential decisions, and the smoke hasn't cleared yet. (In fact, it's looming like a dark storm cloud over our Fourth of July and America 250th festivities…) In this week's episode, cohosts Dahlia Lithwick and Mark Joseph Stern focus on two of the term's bleakest legacies: first, the court's catastrophically bad use of history and second, the demise of independent agencies. They discuss the court's 6–3 decision in Trump v. Slaughter, which was rooted in shoddy originalism and reckless disregard for how an accountable democratic government actually functions. Meanwhile, the dissenters in Trump v. Barbara would have weaponized bogus history to end birthright citizenship for millions. To unpack this, Dahlia and Mark sit down with two law professors: Sam Bagenstos of the University of Michigan and a former general counsel at the Department of Health and Human Services, and Jed Shugerman of Boston University (whom Justices Sonia Sotomayor and Ketanji Brown Jackson cited this week). They deconstruct the myriad ways in which the high court ultimately embarrassed itself, history, and truth, with decisions that will affect millions of Americans for years to come.Slate Plus members! Don't miss the Amicus Plus Breakfast Table on Friday, July 10th at noon EDT. Mark Joseph Stern and Dahlia Lithwick will be in conversation with Professors Steve Vladeck, Sherrilyn Ifill, and Niko Bowie. Our Pluskateers can sign up to be in the live, online audience for this special end-of-term conversation. Go to slate.com/breakfasttable to sign up for online access. (Psst: Submit your questions now to amicus@slate.com)This is part of Opinionpalooza, Slate's coverage of the major decisions from the Supreme Court. The best way to support our work is by joining Slate Plus. (If you are already a member, consider a donation or merch!)Want more Amicus? Join Slate Plus to unlock weekly bonus episodes with exclusive legal analysis. Plus, you'll access ad-free listening across all your favorite Slate podcasts. You can subscribe directly from the Amicus show page on Apple Podcasts and Spotify. Or, visit slate.com/amicusplus to get access wherever you listen.Need to set up your Slate Plus feed? If you subscribed through Slate.com, check out our FAQ at slate.com/podcastfaqs for easy instructions. Members subscribed via Apple Podcasts get automatic access—no setup required. Hosted on Acast. See acast.com/privacy for more information.

Started the 4 July weekend with 9 monks being run over and killed by a kid, and another skydiving disaster. Also SCOTUS birthright citizenship. decision, Greece bombings, Iran supreme leader funeral, Mexico crocodile fatality, and S. Africa cops arrests a guy accused of raping and murdering a dozen goats.

The Supreme Court just wrapped the term with a blitz of extremely consequential decisions, and the smoke hasn't cleared yet. (In fact, it's looming like a dark storm cloud over our Fourth of July and America 250th festivities…) In this week's episode, cohosts Dahlia Lithwick and Mark Joseph Stern focus on two of the term's bleakest legacies: first, the court's catastrophically bad use of history and second, the demise of independent agencies. They discuss the court's 6–3 decision in Trump v. Slaughter, which was rooted in shoddy originalism and reckless disregard for how an accountable democratic government actually functions. Meanwhile, the dissenters in Trump v. Barbara would have weaponized bogus history to end birthright citizenship for millions. To unpack this, Dahlia and Mark sit down with two law professors: Sam Bagenstos of the University of Michigan and a former general counsel at the Department of Health and Human Services, and Jed Shugerman of Boston University (whom Justices Sonia Sotomayor and Ketanji Brown Jackson cited this week). They deconstruct the myriad ways in which the high court ultimately embarrassed itself, history, and truth, with decisions that will affect millions of Americans for years to come.Slate Plus members! Don't miss the Amicus Plus Breakfast Table on Friday, July 10th at noon EDT. Mark Joseph Stern and Dahlia Lithwick will be in conversation with Professors Steve Vladeck, Sherrilyn Ifill, and Niko Bowie. Our Pluskateers can sign up to be in the live, online audience for this special end-of-term conversation. Go to slate.com/breakfasttable to sign up for online access. (Psst: Submit your questions now to amicus@slate.com)This is part of Opinionpalooza, Slate's coverage of the major decisions from the Supreme Court. The best way to support our work is by joining Slate Plus. (If you are already a member, consider a donation or merch!)Want more Amicus? Join Slate Plus to unlock weekly bonus episodes with exclusive legal analysis. Plus, you'll access ad-free listening across all your favorite Slate podcasts. You can subscribe directly from the Amicus show page on Apple Podcasts and Spotify. Or, visit slate.com/amicusplus to get access wherever you listen. Hosted on Acast. See acast.com/privacy for more information.

OA1275 - As June ends and another Supreme Court Season wraps, it is time to look back and survey the damage: significant blows to voting and trans rights, harder times for immigrants throughout the system, and a vast expansion of executive powers. But we also go beyond the headlines to see what has been going on with some of the Court's more routine business. What can we learn from their more mundane 9-0 decisions--and can we actually find some good news here among the wreckage? Matt does his best. Finally, in today's seasonal footnote: why the world believed for exactly five minutes that Samuel Alito had closed Supreme Court Season by announcing his retirement on Tuesday, and what we can learn from this weird mistake about how mainstream media covers the Supreme Court. Executive Power / Immigration Trump v. Barbara — 25-365 (June 30, 2026)(birthright citizenship) Learning Resources v. Trump — 24-1287  (Feb. 20, 2026) (IEEPA tariffs) Trump v. Cook — 25A312 (June 29, 2026) (Fed removal) Trump v. Slaughter — 25-332 (June 29, 2026) (FTC removal) Mullin v. Doe — 25-1083 (June 25, 2026) (TPS) Mullin v. Al Otro Lado — 25-5 (June 25, 2026) (asylum at the border) Blanche v. Lau — 25-429 (June 23, 2026)(LPRs at the border) Urias-Orellana v. Bondi — 24-777 (Mar. 4, 2026) (asylum standard of review) Criminal Law Barrett v. United States — 24-5774 (Jan. 14, 2026) (§924(c)/(j) stacking) Bowe v. United States — 24-5438 (Jan. 9, 2026) (successive §2255 petitions) Ellingburg v. United States — 24-482 (Jan. 20, 2026) (restitution / Ex Post Facto) Chatrie v. United States — 25-112 (June 29, 2026) (geofence / 4A) United States v. Hemani — 24-1234 (June 18, 2026) (cannabis & 2A rights) Hunter v. United States — 24-1063 (June 18, 2026) (appeal waivers) Pitchford v. Cain — 24-7351 (May 28, 2026) (Batson / AEDPA challenge) Olivier v. City of Brandon — 24-993 (Mar. 20, 2026) — (§1983 rights with prior conviction) Case v. Montana — 24-624 (Jan. 14, 2026) (emergency-aid / 4A) Villarreal v. Texas — 24-557 (Feb. 25, 2026) (counsel during recess) Clark v. Sweeney — 25-52 (Nov. 14, 2025) (habeas / new-trial reversal) Civil/Voting Rights Landor v. Louisiana DOC — 23-1197 (June 23, 2026) (RLUIPA damages)  Louisiana v. Callais — 24-109 (Apr. 29, 2026) (Voting Rights Act §2) West Virginia v. B.P.J. — 24-43 (June 30, 2026) (trans student athletes) Wolford v. Lopez — 24-1046 (June 25, 2026) (2A concealed carry) Chiles v. Salazar — 24-539 (Mar. 31, 2026) (conversion therapy) NRSC v. FEC — 24-621 (June 30, 2026) (1A / campaign finance) Procedural Issues Enbridge Energy v. Nessel — 24-783 (Apr. 22, 2026) (removal deadline)  Coney Island Auto Parts v. Burton — 24-808 (Jan. 20, 2026) (Rule 60(b)(4) finality) Other SCOTUSblog Stat Pack (2025-2026)[PDF] “NPR retracts story about Alito retirement,” Kelly McBride, NPR (June 30, 2026) Check out the OA Linktree for all the places to go and things to do!

Aside from the significant losses that were handed to him in a series of Supreme Court decisions, President Donald Trump did score one significant victory.The case in question was called Trump v. Slaughter, and the decision in that case bestowed significantly more power and authority not just to Trump, but to the office of the president itself—whoever that may be in the future.Let's go through the details of that case together.

This is The Briefing, a daily analysis of news and events from a Christian worldview.On today's edition of The Briefing, Dr. Mohler discusses SCOTUS's rulings on mail-in ballots, Trump's firing of the FTC Commissioner, the Federal Reserve, and the privacy of digital devices. He also discusses King Charles discarding of his role as defender of the faith, the end of Pride month, and the decrease of American support for same-sex marriage.Part I (00:14 – 13:50)Mail-in Voting, Trump's Firing of FTC Commissioner, the Federal Reserve, and the Privacy of Digital Devices: SCOTUS Dropped Many Important Decisions YesterdayWatson v. National Republic Committee by The Supreme Court of the United StatesTrump v. Slaughter by The Supreme Court of the United StatesCourt prevents Trump from firing Fed governor by SCOTUSblog (Amy Howe)Trump v. Cook by The Supreme Court of the United StatesChatrie v. United States by The Supreme Court of the United StatesPart II (13:50 – 22:18)King Charles Discards Role as Defender of the Faith: King Charles Attempts to Reshape Understanding of the Monarch in Light of His Postmodern WorldviewPart III (22:18 – 29:21)Pride 2026 Month Comes to an End and Organizers Are Worried – Americans are Rethinking Support for Same-Sex MarriagePride March Caps Joyous New York June, but Anxiety Tempers Hope by The New York Times (Liam Stack and Eliza Shapiro)Gay Marriage Is Dividing Republicans, Again by The New York Times (Sabrina Tavernise)Sign up to receive The Briefing in your inbox every weekday morning.Follow Dr. Mohler:X | Instagram | Facebook | YouTubeFor more information on The Southern Baptist Theological Seminary, go to sbts.edu.For more information on Boyce College, just go to BoyceCollege.com.To write Dr. Mohler or submit a question for The Mailbox, go here.