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Michael Saylor's "never sell" era is OVER. Strategy sold 3,588 BTC (~$216M) at a 20% loss to cover $1.8B in dividend obligations — and Canadian pensions are holding close to $1B of MSTR stock. On June 29, Strategy's board adopted its "Digital Credit Capital Framework": $1B stock buybacks, a 12% STRC dividend, and a $1.25B "BTC Monetization Program" authorizing Bitcoin sales "when strategic." CEO Phong Le calls it "evolving from one-way capital issuance to active capital management." The mNAV premium that financed five years of buying has collapsed from 2.66x to around 1x — and one in three Bitcoin treasury companies now trades below the value of its coins. In this episode of the Canadian Bitcoiners Podcast:- Strategy's pivot: the mNAV death spiral, coins sold at a 20% realized loss, insider selling, and JPMorgan's $2.8B-$11.6B index-exclusion warning- The Canada connection: CPPIB, AIMCo, National Bank, RBC and HOOPP hold ~$1B of MSTR — your pension bought the wrapper trade- A quantum-proof recovery tool that works for everyone except Satoshi's 1.1M BTC- OkoBot: malware that fakes your Ledger/Trezor recovery screen- Global hashrate is shrinking — but Pakistan is up 733%- CleanSpark signs a $6.6B, 20-year AI data center lease- Canada bans crypto political donations under Bill C-25- Clown World North: Stan Cho's $16,203 hotel bill, Canada Post's $30.8M in bonuses against a $1.57B loss, and $159,800 in flight catering- The BIS confirms Canada's housing crash is the biggest on record as 56,400 Canadians leave in a year The leverage cycle is unwinding — the conviction cohort isn't. Long-term holders just hit a record 14.85M BTC. ETF outflows and treasury-company stress are paper Bitcoin changing hands; the base layer doesn't care. Hold your own keys. — Canadian Bitcoiners Podcast- Website: https://canadianbitcoiners.com- X: @CanadianBTCPod- Subscribe & turn on notifications ————————————————————————————————SPONSORS

Parce que… c'est l'épisode 0x31E! Shameless plug 19 septembre 2026 - Bsides Montréal 20 au 26 septembre 2026 - BruCON 13 novembre 2026 - DEATHCon 16 au 19 novembre - European Cyber Week 1 au 3 décembre 2026 - Forum INCYBER - Canada 2026 24 et 25 février 2027 - SéQCure 2027 Notes IA ou Ghost in the shell MCP Rethinking MCP Security: A Large-Scale Study of Runtime MCP Servers and Security Scanner Reliability State of MCP Security 2026 Someone Is Scanning for Your MCP Servers and AI Assistant Credentials Auto pentest Rethinking Penetration Testing for AI-Enabled Systems: From Resource Compromise to Behavioral Objective Violation Hugging Face Confirms AI-Driven Breach: Attackers used Autonomous Agents, defenders countered with AI Vibe for the fail Setup Complete, Now You Are Compromised: Weaponizing Setup Instructions Against AI Coding Agents AI-generated code has made security debt a governance problem Injection pour le bien et le mal 1M+ Emails Use Hidden Text to Dupe AI Security Filters How I tricked Claude into leaking your deepest, darkest secrets Prompt Injection Attacks Are Thwarting AI Hacking Agents Recherche A Fraud-Detection-Inspired Framework for LLM Agents Security xAI can't deny Grok makes CSAM anymore. So it's suing users. Agentic AI: Taming the Unpredictable You Cannot Defend What You Cannot Inspect Microsoft Patches a Record 570 Security Flaws Google fixing Android lock screen bug that lets Gemini send SMS without a PIN La guerre, la guerre, c'est pas une raison pour se faire mal! Adam Shostack :donor: :rebelverified:: “If we bomb Iranian water facil…” - Infosec Exchange Souveraineté ou vive le numérique libre! How Microsoft's ‘Little Workaround' Created a Major Threat to America's Defense Department South Korea making its own security-centric AI model Privacy ou cachez ces informations que je ne saurais voir A Video Screen That Is Also a Camera I am the law Blocage for the fail Contourner un géoblocage via VPN n'a rien d'illégal, dit la CJUE La Belgique bloque wawacity.pizza, mais les pirates se sont déjà mis au poker France Doubles Down On Restricting Access To Polymarket Le blocage DNS casse tout sauf le piratage (dixit Google) Media pas si social Why the Government's Plan for a Social Media Ban in Bill C-34 Is Unconstitutional The infinite scroll may become endangered if controversial Calif. law Social media limits are coming for teens across Europe Senator calls on Rubio, Blanche to push back against Canadian surveillance legislation It's official: EU will force Google to share search data and open up AI on Android San Francisco orders Apple, Google to remove nudify apps from app stores FAA lets Boeing issue 737 Max, 787 airworthiness certificates again Germany set to restrict its Freedom of Information Act UK's Burnham drops digital ID scheme to prioritise cost of living, say allies Red ou tout ce qui est brisé Microsoft's Secure Boot has been broken for a decade and no one noticed until now Cursor 0day: When Full Disclosure Becomes the Only Protection Left Weak Security Continues to Fuel Russian Cyberattacks 6 GHz Wi-Fi Flaws Could Disrupt Critical Systems Are There Cybersecurity Risks in Over-the-Air Tech Used in Autos? Windows 10 refuses to die, and the security bill is coming due LG monitors silently install software through Windows Update without user consent Blue ou tout ce qui améliore notre posture Qubes OS Security in the Public Record Microsoft Entra ID gets passkeys default authentication starting September Kevin Beaumont: “Remarkable transparency from C…” - Cyberplace Divers ou parce que j'ai aucune idée où les placer Trump Media to sell fast feed of ‘market-moving' posts to Wall Street Microsoft Restores Player's Hacked 25-Year-Old Account With Son's Baby Photos Collaborateurs Nicolas-Loïc Fortin Crédits Montage par Intrasecure inc Locaux réels par Intrasecure inc

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

The entire technology world has, for decades, treated the IP address as a shorthand host identifier. This is clearly not the way IP was designed, but what are our other choices? In this episode of the Hedge, Scott Robohn joins Russ And Tom to discuss a recent paper arguing cryptographic keys should be the primary host identifier, and another article on the centrality of DNS to the Internet.

Egyre többen csekkolnak ki a közösségi médiából Az Mi adatközpontok új generációját hozza el a Schneider Electric és a Foxconn Veszélyes vírus fenyegeti az androidos telefonokat, a bankszámlánk a tét Még rejtélyesebb lett a neandervölgyiek kihalása: a DNS-ük szerint meglepően jó egészségi állapotban voltak nem sokkal azelőtt, hogy végleg eltűntek Így kalkulálhatja ki helyesen, milyen méretű tévére van szüksége Visszaállította a felhasználó online fiókját a Microsoft, akinek 25 évnyi anyaga veszett oda azzal Microsoft-partneri minősítést szerzett a 4iG Nem bízzák az AI-ra az utazástervezést a fiatalok Veszélyes a Google AI-alapú keresője a gyerekeknek? A további adásainkat keresd a podcast.hirstart.hu oldalunkon. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Egyre többen csekkolnak ki a közösségi médiából Az Mi adatközpontok új generációját hozza el a Schneider Electric és a Foxconn Veszélyes vírus fenyegeti az androidos telefonokat, a bankszámlánk a tét Még rejtélyesebb lett a neandervölgyiek kihalása: a DNS-ük szerint meglepően jó egészségi állapotban voltak nem sokkal azelőtt, hogy végleg eltűntek Így kalkulálhatja ki helyesen, milyen méretű tévére van szüksége Visszaállította a felhasználó online fiókját a Microsoft, akinek 25 évnyi anyaga veszett oda azzal Microsoft-partneri minősítést szerzett a 4iG Nem bízzák az AI-ra az utazástervezést a fiatalok Veszélyes a Google AI-alapú keresője a gyerekeknek? A további adásainkat keresd a podcast.hirstart.hu oldalunkon. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

In this episode of All Hands on Tech, we sit down with Cynthia Giles, CEO of Capstone Project Solutions, to discuss some of the complex technology and infrastructure projects shaping communities across Canada.As Capstone approaches its 10-year anniversary, Cynthia shares insights from leading large-scale digital transformation initiatives, including Canada's transition to Next Generation 9-1-1 (NG9-1-1). The conversation explores what it takes to modernize critical public safety systems, where AI is creating real value for organizations and how technology can help build more connected, resilient communities. Cynthia also offers a behind-the-scenes look at the challenges of implementing large-scale modernization projects that most Canadians rely on every day without ever seeing.

On January 1st a new EU law switched on across 27 countries — and it reports exactly how much Bitcoin you own.Europe's DAC8 turned "Know Your Customer" into what Bull Bitcoin calls "Kill Your Customer" — so the Canadian exchange just filed the first legal challenge to strike it down. We get into all of it: Tennessee becoming the 2nd US state to ban Bitcoin ATMs, Trump's disclosure showing $1.4B in crypto income while his own team writes the rules, Kraken reportedly chasing a full EU bank license — and the feel-good one, a single $150 home miner that beat billion-dollar farms to win an entire block worth ~$200,000. Then north of the border: KPMG says nearly half of Canadian manufacturers have moved or are eyeing a move to the US, Ottawa tells the UAE it has no "shovel-ready" projects for C$70B, and more.Canadian Bitcoiners PodcastWebsite: https://canadianbitcoiners.comX: @CanadianBTCPodSubscribe & turn on notifications so you never miss an episode. ————————————————————————————————SPONSORS

On January 1st a new EU law switched on across 27 countries — and it reports exactly how much Bitcoin you own.Europe's DAC8 turned "Know Your Customer" into what Bull Bitcoin calls "Kill Your Customer" — so the Canadian exchange just filed the first legal challenge to strike it down. We get into all of it: Tennessee becoming the 2nd US state to ban Bitcoin ATMs, Trump's disclosure showing $1.4B in crypto income while his own team writes the rules, Kraken reportedly chasing a full EU bank license — and the feel-good one, a single $150 home miner that beat billion-dollar farms to win an entire block worth ~$200,000. Then north of the border: KPMG says nearly half of Canadian manufacturers have moved or are eyeing a move to the US, Ottawa tells the UAE it has no "shovel-ready" projects for C$70B, and more.Canadian Bitcoiners PodcastWebsite: https://canadianbitcoiners.comX: @CanadianBTCPodSubscribe & turn on notifications so you never miss an episode. ————————————————————————————————SPONSORS

A weekly live show covering all things Freedom Tech with Max, Q and Seth.GO TO https://radar.chat/ for more information [[BILLLKEONNE]]TO DONATE TO ROMAN'S DEFENSE FUND: https://freeromanstorm.com/donateVALUE FOR VALUEThanks for listening you Ungovernable Misfits, we appreciate your continued support and hope you enjoy the shows.You can support this episode using your time, talent or treasure.TIME:- create fountain clips for the show- create a meetup- help boost the signal on social mediaTALENT:- create ungovernable misfit inspired art, animation or music- design or implement some software that can make the podcast better- use whatever talents you have to make a contribution to the show!TREASURE:- BOOST IT OR STREAM SATS on the Podcasting 2.0 apps @ https://podcastapps.com- DONATE via Monero @ https://xmrchat.com/ugmf- BUY SOME STICKERS @ https://www.ungovernablemisfits.com/shop/FOUNDATIONhttps://foundation.xyz/ungovernableFoundation builds Bitcoin-centric tools that empower you to reclaim your digital sovereignty.As a sovereign computing company, Foundation is the antithesis of today's tech conglomerates. Returning to cypherpunk principles, they build open source technology that “can't be evil”.Thank you Foundation Devices for sponsoring the show!Use code: Ungovernable for $10 off of your purchaseCAKE WALLEThttps://cakewallet.comCake Wallet is an open-source, non-custodial wallet available on Android, iOS, macOS, and Linux.Features:- Built-in Exchange: Swap easily between Bitcoin and Monero.- User-Friendly: Simple interface for all users.Monero Users:- Batch Transactions: Send multiple payments at once.- Faster Syncing: Optimized syncing via specified restore heights- Proxy Support: Enhance privacy with proxy node options.Bitcoin Users:- Coin Control: Manage your transactions effectively.- Silent Payments: Static bitcoin addresses- Batch Transactions: Streamline your payment process.Thank you Cake Wallet for sponsoring the show!MYNYMBOXhttps://mynymbox.ioYour go-to for anonymous server hosting solutions, featuring: virtual private & dedicated servers, domain registration and DNS parking. We don't require any of your personal information, and you can purchase using Bitcoin, Lightning, Monero and many other cryptos.Explore benefits such as No KYC, complete privacy & security, and human support.

In this episode, we continue our exploration of vibe coding, this time we build a prompt for installing Digital Rebar. We test and refine the prompt across multiple runs, focusing on readiness checks, firewall ports, SSH keys, license file handling, and keeping the model within the provided instructions.We also look at where the install keeps failing, including NAT gateway setup, DNS configuration, key selection, and bootstrap completion, and use those failures to make the instructions more explicit. Finally, we discuss using prompts as install instructions for an agent system and how the same approach could apply to other complex setups like as OpenShift. Transcript: https://otter.ai/u/usI73DAlEbWw-3ukeN-wpYSobng?utm_source=copy_url

Graham Platner pulls out of Maine senate race, the DNS party (Democrat Narcissistic Sociopath Party), U.S. pummels Iranian targets, and Trump flys original AF 1.

More Odd DNS Records: NIMLOC https://isc.sans.edu/diary/More%20Odd%20DNS%20Records%3A%20NIMLOC/33128 From Invoice to AnyDesk: Uncovering a Phishing Campaign Targeting Russian Aerospace Organizations https://www.seqrite.com/blog/from-invoice-to-anydesk-uncovering-a-phishing-campaign-targeting-russian-aerospace-organizations/ Tenda firmware (multiple versions) contains hidden authentication backdoor https://kb.cert.org/vuls/id/213560 GitLost: GitHub AI Agent Leak https://noma.security/wp-content/uploads/GitLostWorkflow_2.gif My Upcoming Classes https://www.sans.org/profiles/dr-johannes-ullrich

77 Bitcoin kidnappings logged in France since January — and Canada isn't immune. A Toronto CEO was ransomed for $1M. Saylor sells $216M in Bitcoin. Carney admits climate defeat. CUSMA gets rejected. This week on the Canadian Bitcoiners Podcast: French Interior Minister Laurent Nuñez confirms 77 kidnappings and extortions targeting Bitcoin holders since January 2026 — already past all of 2025. Ledger co-founder David Balland had a finger severed by his kidnappers. Then it hits home: Toronto's WonderFi CEO was forced into a car during rush hour for a $1 million ransom, and a B.C. family was held hostage overnight. Joey and Len break down why being loud about your Bitcoin stack is now a physical security problem — and what actually protects you. In this episode of the Canadian Bitcoiners Podcast:- The global Bitcoin kidnapping wave - France's 77 cases and the Canadian parallel nobody's talking about- Strategy (MicroStrategy) sells $216M in Bitcoin - is Saylor's playbook cracking, or is this just treasury management?- K Wave Media's 10,000 BTC dream collapses to zero - the corporate Bitcoin treasury reckoning is here- Mark Carney concedes emissions targets will not be met, pivots to a new energy plan and a west coast pipeline- CUSMA joint review: the U.S. declines to renew, and what it means for Canadian trade- Toronto's FIFA World Cup bill: FIFA cashes out, taxpayers cover $380 million for six games- An Ontario judge exposes CBSA's 577,739-case deportation backlog through one repeat LCBO thief- Plus: a Brampton Ponzi scheme, Montreal's rental relief, BTCPay's new tap-to-pay terminal, Wasabi Wallet's mandatory upgrade, and a clipboard-hijacking cautionary tale Bitcoin doesn't create the incentive to overpromise and quietly walk it back - governments and corporate copycats do that fine on their own. Self-custody still means being your own bank. Just don't be a loud one about it. Sources: BeInCrypto, CoinDesk, CBC News, CTV News, Global News, The Epoch Times, The Globe and Mail, Global Affairs Canada, Parliamentary Budget Officer — Canadian Bitcoiners PodcastWebsite: https://canadianbitcoiners.comX: @CanadianBTCPodSubscribe & turn on notifications so you never miss an episode. ————————————————————————————————SPONSORS

In Episode 108 of the Cybersecurity Readiness Podcast Series, Dr. Dave Chatterjee is joined by Scott Harrell, President and Chief Executive Officer of Infoblox and former leader of Cisco's $20 billion enterprise networking business — to examine one of the most consequential security blind spots in modern enterprise governance: the foundational network infrastructure layer that every other security investment depends on, and that almost no organization actively governs.The episode opens with the October 2025 Amazon Web Services outage, in which a single automated misconfiguration in a core routing service triggered a global cascade that took down AI services, financial platforms, and consumer applications worldwide, producing an estimated $581 million in losses. The cause was not a sophisticated cyber attack. It was a governance decision that had never been made — nobody was actively watching the foundational layer. That event becomes the opening frame for a conversation about DNS, DHCP, and IP address management: the three-part infrastructure, collectively known as DDI, that assigns every device an address, maps every application name to a network location, and routes every piece of digital traffic to its destination. When it works, it is invisible. When it fails — or when an attacker exploits it — everything built on top of it stops.Harrell's central argument is structural: 92% of all malware relies on DNS for its initial call-out to attacker-controlled infrastructure. The first thing any malware does when it lands on a network is resolve a malicious domain — and if that DNS request is blocked, the entire incident cascade never occurs. The payload is never downloaded. Lateral movement never begins. Privilege escalation never follows. The problem is that most enterprise security stacks are built to detect and respond to malware after it has activated — not to intercept the first domain resolution that enables everything that follows. This is the difference between reactive and preemptive security, and it is a governance choice that shows up in budget allocations: currently, only 5% of enterprise security spending goes to preemptive activities, with 95% consumed by detection and response. Gartner projects that organizations will need to reach a 50/50 split by 2030.The conversation addresses how to make the governance case for foundational infrastructure investment, what differentiated DNS security looks like, how agentic AI is about to make network complexity exponentially harder to manage, and what three metrics every senior leader should be demanding from their security teams. Analyzed through Dr. Chatterjee's Commitment–Preparedness–Discipline (CPD) Framework, the episode reframes network infrastructure security from an IT operational matter into a board-level governance imperative. The episode's core message is neither technical nor vendor-specific: the organizations that will withstand the next breach are not those with the most sophisticated detection tools — they are those that have decided to govern the layer on which everything else depends.To access and download the entire podcast summary with discussion highlights - https://www.dchatte.com/episode-108-the-invisible-foundation-why-dns-security-is-the-governance-gap-no-one-is-watching/Connect with Host Dr. Dave ChatterjeeLinkedIn: https://www.linkedin.com/in/dchatte/ Website: https://dchatte.com/Books PublishedThe DeepFake ConspiracyCybersecurity Readiness: A Holistic and High-Performance ApproachArticles & Cases PublishedChatterjee, D. (2026). The Cryptographic Reckoning: Why Quantum Readiness Begins with Agility, Not Algorithms, The INFORMS Analytics Magazine, June 26, 2026Chatterjee, D. (2026). The New Digital Fragility: How AI-Enhanced Cyber Threats Are Reshaping Operational Resilience, The INFORMS Analytics Magazine, March 4, 2026Chatterjee, D. (2026). Root: Automating the Remediation Gap, Ivey Publishing, Jan 7, 2026.Ramasastry, C. and Chatterjee, D. (2025). Trusona: Recruiting For The Hacker Mindset, Ivey Publishing, Oct 3, 2025.Chatterjee, D. and Leslie, A. (2024). “Ignorance is not bliss: A human-centered whole-of-enterprise approach to cybersecurity preparedness,” Business Horizons, Accepted on Oct 29, 2024.Isik, O., Chatterjee, D., and Lourenco, D.A. (2024). “Getting Cybersecurity Right,” California Management Review — Insights, Accepted for Publication, July 8, 2024. Chatterjee, D. (2023). “Mission critical – How American Cancer Society successfully and securely migrated to the cloud amid the pandemic,” I by IMD, March 13, 2023.Chatterjee, D. (2022). “Preventing security breaches must start at the top,” I by IMD, September 28, 2022, Institute for Management Development, Lausanne, SwitzerlandChatterjee, D. (2022). “Making Cybersecurity Readiness Mainstream,” Executive Blog Post, NETSPI, March 1, 2022Benz, M. and Chatterjee, D. (2020). “Calculated Risk? A Cybersecurity Evaluation Tool for SMEs,” Business Horizons, available online from May 4, 2020Chatterjee, D. (2019). “Should Executives Go To Jail Over Cyber Attacks,” Journal of Organizational Computing and Electronic Commerce, Vol

In this episode of PING, we talk with Willem Toorop about a measurement of 6 choices for naming the root servers of the global DNS. This measurement was motivated by RSSAC 028, a 2017 technical analysis for ICANN of the naming scheme used by the root DNS servers. Root name servers are part of the global DNS system, and they provide basic bootstrapping for every other DNS resolver and authoritative name server worldwide. This is their primary role, but they also handle query load relating to the global DNS system all day and every day. There are 13 distinctly named root servers, each one identified by a letter from A to M under the domain root-servers.net. Although there are only 13 distinct "labels" there are in fact thousands of machines providing this service as independently operated clusters behind each of these letters, using the BGP "anycast" method we have discussed on PING before. The special zone, root servers.net was instantiated in 1995. It's delegated as normal under the .net zone, which in turn delegates from the root "dot" zone. If you are bootstrapping a new resolver, to find a root server you appear to need to know about the delegation of .net in order to find root servers.net, to find the given server. This is a circular dependency because you don't know how to find .net until you have asked a root server instance. The circular dependency is resolved by the contents of an initial "priming" response. This response provides the additional "glue" information to seed direct knowledge of how to find each of these named root servers as is, without all the intermediate logic of the circular dependency. This glue is inherently not signed in DNSSEC. It's insecure. The priming response is very carefully curated for both its size and the content but it would be good to give it some content security and increase trust in the message. RSSAC 028 explored the impact of applying DNSSEC over this domain, which in turn would add DNSSEC signatures to the priming response and impact a goal of keeping this a small 512 byte backwards compatible UDP packet. By keeping this response small, it would continue to work on all legacy systems worldwide. Nothing happens quickly in DNS evolution, and this naming question has now been under consideration for almost a decade. Willem and his colleagues at NLNet Labs and SIDN produced two reports reflecting on the candidate naming schemes, application of DNSSEC, and the impact on the bootstrap fetch. There are some surprising outcomes!

RCS and DNS: The NAPTR Record https://isc.sans.edu/diary/RCS%20and%20DNS%3A%20The%20NAPTR%20Record/33124 OpenSSH 10.4 released https://seclists.org/oss-sec/2026/q3/62 Beyond Trust Advisory CVE-2026-40138 CVE-2026-40139 https://www.beyondtrust.com/trust-center/security-advisories/bt26-03 PolinRider: North Korea-Linked Supply Chain Campaign https://socket.dev/blog/polinrider-north-korea-linked-supply-chain-campaign-expands My Upcoming Classes https://www.sans.org/profiles/dr-johannes-ullrich

77 Bitcoin kidnappings logged in France since January — and Canada isn't immune. A Toronto CEO was ransomed for $1M. Saylor sells $216M in Bitcoin. Carney admits climate defeat. CUSMA gets rejected. This week on the Canadian Bitcoiners Podcast: French Interior Minister Laurent Nuñez confirms 77 kidnappings and extortions targeting Bitcoin holders since January 2026 — already past all of 2025. Ledger co-founder David Balland had a finger severed by his kidnappers. Then it hits home: Toronto's WonderFi CEO was forced into a car during rush hour for a $1 million ransom, and a B.C. family was held hostage overnight. Joey and Len break down why being loud about your Bitcoin stack is now a physical security problem — and what actually protects you. In this episode of the Canadian Bitcoiners Podcast:- The global Bitcoin kidnapping wave - France's 77 cases and the Canadian parallel nobody's talking about- Strategy (MicroStrategy) sells $216M in Bitcoin - is Saylor's playbook cracking, or is this just treasury management?- K Wave Media's 10,000 BTC dream collapses to zero - the corporate Bitcoin treasury reckoning is here- Mark Carney concedes emissions targets will not be met, pivots to a new energy plan and a west coast pipeline- CUSMA joint review: the U.S. declines to renew, and what it means for Canadian trade- Toronto's FIFA World Cup bill: FIFA cashes out, taxpayers cover $380 million for six games- An Ontario judge exposes CBSA's 577,739-case deportation backlog through one repeat LCBO thief- Plus: a Brampton Ponzi scheme, Montreal's rental relief, BTCPay's new tap-to-pay terminal, Wasabi Wallet's mandatory upgrade, and a clipboard-hijacking cautionary tale Bitcoin doesn't create the incentive to overpromise and quietly walk it back - governments and corporate copycats do that fine on their own. Self-custody still means being your own bank. Just don't be a loud one about it. Sources: BeInCrypto, CoinDesk, CBC News, CTV News, Global News, The Epoch Times, The Globe and Mail, Global Affairs Canada, Parliamentary Budget Officer — Canadian Bitcoiners PodcastWebsite: https://canadianbitcoiners.comX: @CanadianBTCPodSubscribe & turn on notifications so you never miss an episode. ————————————————————————————————SPONSORS

You learn at least five new things every episode, and this one stacks them fast. Roll your Apple Watch crown instead of tapping it to keep Sleep mode from searing your eyes, then hit Command-Shift-F in the Finder to jump straight to Recents when a saved file vanishes into the void. When a listener asks how to archive iMessages, you’ll meet iMazing, Shottr’s scrolling screenshots, privacy.apple.com, and a public-key-encryption rabbit hole that explains why even Apple can’t hand your texts back. You’ll also learn to Control-click the Printers list to reset the entire CUPS printing system, and to check every app’s Rosetta versus Apple Silicon status before sluggish performance quietly fools you, because Rosetta survives macOS 27 but finally bows out in fall 2027, so audit those Intel holdouts now. Then the questions roll in. You’ll troubleshoot a PDF that downloads on one Mac but stalls on another (think DNS blocks, CDN handoffs, stale session cookies, and a fast browser swap), wrestle Apple TV lip-sync into line by killing soundbar processing and matching frame rates, and chase a self-dimming iPad back to its ambient-light sensor and screen protector. Cool Stuff Found delivers a Beelink dock that sidesteps Apple’s storage surcharges and Pixette for reviving an ancient iPad as a photo frame. And when refurb Mac minis sell out in two hours and Apple nudges prices up overnight? Don’t Get Caught letting hope prevail like Dave did, grab it the moment you see it, because that cart won’t hold it for you. 00:00:00 Mac Geek Gab 1149 for Monday, July 6th, 2026 July 6th: National Air Traffic Control Day 00:02:47 A quick video from Dave's daughter's wedding MGG Monthly Giveaway – Win a license to Mole Quick Tips 00:00:01 Jan Landy-QT-Roll Your Apple Watch crown in Sleep Mode to go easy on your eyes 00:06:36 Claire-QT-To Find something you just added, Command-Shift-F in Finder for your Recents list 00:11:02 GW-I wish Apple had a way to archive Messages iMazing (and formerly PhoneView) Remember privacy.apple.com 00:19:09 Message in iCloud and Public Key Encryption Shottr's scrolling screenshots 00:23:33 WillRun4Fun-QT-Control-click in Printers list to Reset Printing System Enable CUPS web page on your Mac Visit https://localhost:631/printers/ If that fails, open Terminal and run “cupsctl WebInterface=yes” to enable it 00:26:14 TheDaveAbides-QT-Check your apps’ Rosetta/Apple Silicon status 00:35:28 Andrew-QT-Buy your refurbs immediately…don’t just leave in your cart Refurb Tracker RefurbMe AppTamer Sponsors 00:40:49 SPONSOR: Keeper. Right now, Keeper is offering our listeners 60% off personal and family plans at https://Keepersecurity.com/MGG. This offer is only for podcast listeners! 00:42:10 SPONSOR: Even Realities G2. Use promo code MGG at evenrealities.com to get 10% off Even Ring 1 and/or Even Clip when you add them to your Even G2 order. 00:43:48 SPONSOR: Decagon. Ready to transform your customer support? Decagon helps companies create personalized, concierge-style customer experiences with AI agents across chat, email, voice, and SMS. Go to https://decagon.ai/MGG to get a personalized demo and see what Decagon can do for your team. Your Questions Answered and Tips Shared! 00:45:16 Mike-Why can I download a pdf on ONE computer, but not another? 00:53:01 David-How do I resolve Apple TV lip sync issues? YouTube A/V sync videos AWOL 2500 Projector Sonos Soundbars 01:04:52 Larry-iPad Dims When I don't want it to Cool Stuff Found 01:12:44 Mike-CSF-Belkin Beelink Mac mini storage dock (and others like it) 01:14:24 Greg-CSF-1147-Pixette for displaying photos on an old iPad 01:16:55 MGG 1149 Outtro MGG Monthly Giveaway Bandwidth Provided by CacheFly Pilot Pete's Aviation Podcast: So There I Was (for Aviation Enthusiasts) The Debut Film Podcast – Adam's new podcast! Dave's Business Brain (for Entrepreneurs) and Gig Gab (for Working Musicians) Podcasts MGG Merch is Available! Mac Geek Gab iOS app Mac Geek Gab YouTube Page Mac Geek Gab Live Calendar This Week's MGG Premium Contributors MGG Apple Podcasts Reviews feedback@macgeekgab.com 224-888-GEEK Active MGG Sponsors and Coupon Codes List BackBeat Media Podcast Network

Show DescriptionChris & Dave have been challenged to not talk about AI this episode - do they succeed? How do I optimize tracking pixels in my web app, what's the best book on CMS and authoring experiences, picking the best tooling in Rails that won't be obsolete, SPF, DNS, and D-Marc, adding dark mode to a website, and dealing with good old fashioned F.A.R.T. Listen on WebsiteWatch on YouTubeLinks Vizio accidentally made the best dumb TV on the market | The Verge Window: queueMicrotask() method - Web APIs | MDN Jake Archibald on the web browser event loop, setTimeout, micro tasks, requestAnimationFrame, ... - YouTube Designing Content Authoring Experiences Ruby on Rails: Accelerate your agents with convention over configuration Secure AI Agent & User Authentication | Auth0 next.js TanStack | The open-source application stack for the web. RedwoodSDK: A simple framework for humans Heroku | The Cloud Application Platform For Developers Push your ideas to the web | Netlify Agentic Infrastructure - Vercel Astro Jekyll • Simple, blog-aware, static sites | Transform your plain text into static websites and blogs Nuxt: The Full-Stack Vue Framework SendGrid Email API and Email Marketing Campaigns | Twilio Email · The email API for developers who ship the rest of the message too — Bird Cloudflare: Build for the agent era CSS Analytics - Project Wallace Flash of inAccurate coloR Theme (FART) | CSS-Tricks

On this episode of DNS, Dave Crosland and Scott McNally answer listener questions covering Testosterone Isocaproate, injection frequency, cycle design, HGH, peptides, heart health, Clenbuterol, TRT, and much more. 0:00 Dave is a Ray of F'ing Sunshine 0:40 Support the show with our advertisers 2:00 Scott's frustration talking about the PED market 7:00 More Horn Talk 17:00 Heart Health Tests for Steroid Users 19:00 Testosterone Isocaproate Explained 19:40 Daily vs Weekly Injections for Long Esters 24:00 Best Testosterone, Deca & Masteron Ratio 25:40 Planning Your Second Steroid Cycle 30:00 Domestic Source Package Seized 33:00 HGH Secretagogues for Older Lifters 35:00 Best Time to Take HGH Before Bed? 37:00 Coming Off PPI Medications Safely 41:15 Peptide-Only Cycle: Does It Work? 42:50 Depression After Long-Term Steroid Use 44:45 Clenbuterol: Split Doses or All at Once? 47:10 Testosterone-Induced Folliculitis 50:00 Using Pharma Testosterone Ampules 56:45 German Autobahn vs Detroit Freeways 1:01:10 Omnadren vs Sustanon 1:05:00 Dave the Felon: Life After Prison 1:26:00 Behind the Scenes UK Blood Work Get your Labs done by Dave in the UK : https://evalbloodanalysis.com/home/ Support the Podcast Patreon — Help keep the show growing. Even $5/month makes a difference. https://www.patreon.com/thinkbigbodybuilding Sponsors TRUE NUTRITION — Custom supplements for serious lifters Use code THINK to save https://www.truenutrition.com/THINK STROM SPORTS — Performance supplements trusted by athletes UK: https://tinyurl.com/ydmbfa54 US: https://stromsportsus.com Supplement Source Canada — Top brand supplements with fast shipping http://www.supplementsource.ca Merch Official THINK BIG Merch — Train, represent, support the brand https://think-big.printify.me/products

A weekly live show covering all things Freedom Tech with Max, Q and Seth.Archipelago Foundation: https://www.archipelago-foundation.org/ Archipelago OS Demo: https://demo.archipelago-foundation.org/[[BILLLKEONNE]]TO DONATE TO ROMAN'S DEFENSE FUND: https://freeromanstorm.com/donateVALUE FOR VALUEThanks for listening you Ungovernable Misfits, we appreciate your continued support and hope you enjoy the shows.You can support this episode using your time, talent or treasure.TIME:- create fountain clips for the show- create a meetup- help boost the signal on social mediaTALENT:- create ungovernable misfit inspired art, animation or music- design or implement some software that can make the podcast better- use whatever talents you have to make a contribution to the show!TREASURE:- BOOST IT OR STREAM SATS on the Podcasting 2.0 apps @ https://podcastapps.com- DONATE via Monero @ https://xmrchat.com/ugmf- BUY SOME STICKERS @ https://www.ungovernablemisfits.com/shop/FOUNDATIONhttps://foundation.xyz/ungovernableFoundation builds Bitcoin-centric tools that empower you to reclaim your digital sovereignty.As a sovereign computing company, Foundation is the antithesis of today's tech conglomerates. Returning to cypherpunk principles, they build open source technology that “can't be evil”.Thank you Foundation Devices for sponsoring the show!Use code: Ungovernable for $10 off of your purchaseCAKE WALLEThttps://cakewallet.comCake Wallet is an open-source, non-custodial wallet available on Android, iOS, macOS, and Linux.Features:- Built-in Exchange: Swap easily between Bitcoin and Monero.- User-Friendly: Simple interface for all users.Monero Users:- Batch Transactions: Send multiple payments at once.- Faster Syncing: Optimized syncing via specified restore heights- Proxy Support: Enhance privacy with proxy node options.Bitcoin Users:- Coin Control: Manage your transactions effectively.- Silent Payments: Static bitcoin addresses- Batch Transactions: Streamline your payment process.Thank you Cake Wallet for sponsoring the show!MYNYMBOXhttps://mynymbox.ioYour go-to for anonymous server hosting solutions, featuring: virtual private & dedicated servers, domain registration and DNS parking. We don't require any of your personal information, and you can purchase using Bitcoin, Lightning, Monero and many other cryptos.Explore benefits such as No KYC, complete privacy & security, and human support.

US Puts $10M Bounty on Russian Hackers, Supreme Court Limits Geofence Warrants, New phishing campaign targets hotels, AI Coding Agents Tricked into Malware and Canada's Electronic Spies Go After Ransomware Gangs.  The episode covers the US State Department's up to $10 million reward for information on Russia-linked hacker groups UNC 5792 and UNC 4221 tied to phishing campaigns that compromise Signal and WhatsApp accounts by stealing Signal backup recovery keys.  It also explains a US Supreme Court 6–3 ruling limiting geofence warrants by recognizing Fourth Amendment privacy protections for phone location data and requiring probable cause and narrower requests.  Mozilla ODIN researchers demonstrate a proof of concept where a clean GitHub repo can cause AI coding agents to run an init command that executes attacker-controlled code via DNS and opens a reverse shell. A hotel-focused phishing campaign using Calendly and Google redirects delivers ZIP files that install the Tonrat implant through PowerShell and a user-space Node.js runtime.  Finally, Canada's CSE says it disrupted infrastructure used by 10 major ransomware groups and reports incident volumes rising nearly 26% year over year. 00:24 Top Headlines Rundown 00:54 10 Million Bounty Russian Hackers 02:42 Supreme Court Limits Geofence Warrants 03:56 AI Coding Agent Repo Trap 05:31 Listener Thanks And Reviews 05:51 Hotel Front Desk Phishing Attack 08:01 Canada Disrupts Ransomware Gangs 09:45 Closing And Sign Off

Bitcoin just crashed below $60,000 to a 20-month low - the worst first half on record - with the Fear & Greed Index at 18 (Extreme Fear). Is the bull market over, or is this the bottom smart money is buying? Plus: a deepfake of PM Carney drains a senior's $900K, Strategy's leverage cracks, and Bull Bitcoin beats MiCA. This is the Canadian Bitcoiners Podcast.Bitcoin closed a brutal first half - down ~22% in Q1 and ~12% in Q2, a rare back-to-back losing quarter - on record US spot-ETF outflows, a hawkish Fed, and a strong dollar. But under the panic is a divergence: price held the June 26 lows for three sessions while sentiment bottomed, and Strive bought 759 BTC into the fear. We break down whether this is capitulation or the start of something worse - and why self-custodied, unleveraged holders are the only ones not being forced to sell.In this episode of the Canadian Bitcoiners Podcast:Bitcoin below $60K: 20-month low, Extreme Fear at 18, and the contrarian caseThe AI-deepfake-of-Carney scam that drained an 86-year-old's $900KStrategy (MSTR) under a securities probe as 'guaranteed' STRC preferred hits record lowsBull Bitcoin secures MiCA in France with self-custody intact - while Binance exits the EUThe CLARITY Act's Senate coin-flip and what it means for BitcoinBank of Canada holds at 2.25% as oil and the Iran war stoke inflationFranklin's Bitcoin DRIP ETFs, Hut 8's $2.35M settlement, and an OKX prize disputeNotable North: a halved carjacking sentence, the door-kick challenge, 24 Sussex, the $1T grid plan, and CUSMACanadian Bitcoiners PodcastWebsite: https://canadianbitcoiners.comX: @CanadianBTCPodSubscribe & turn on notificationsThe throughline: the leverage and the custodians break in a crash - the protocol doesn't. Lower fiat price is not a broken Bitcoin. Extreme Fear is where conviction gets bought.Sources: CoinDesk, Fortune, Yahoo Finance, Bitcoin Magazine, The Block, CP24, CTV News, National Post, CBC, Bank of Canada, Congress.gov, Al Jazeera.This week's crash coverage is brought to you by the people who think your money should be yours - especially when everyone else is panicking.————————————————————————————————SPONSORS

Eric Sirion, Joscha, and Hermann join to discuss Fedimint being used in the wild in South Africa. We get into Bitcoin Ekasi's live five-of-seven federation, running guardians on Start9, how Iroh removes DNS and networking pain, backups, uptime, and why federated custody can be a powerful middle ground between self custody and custodial wallets. We discuss Lightning gateways, Conduit wallet, MoneyBadger payments, eCash privacy, zero-fee internal transactions, on-chain UTXO consolidation, and why Fedimint may become a key tool for Bitcoin communities around the world.Starting your own federation: https://fedimint.org/guardians/Setup/overviewConduit Wallet: https://joschisan.github.io/conduitFedimint on X: https://x.com/fedimintBitcoin Ekasi on X: https://x.com/BitcoinEkasiBitcoin Ekasi on Nostr: https://primal.net/bitcoinekasiEPISODE: 206BLOCK: 956087PRICE: 1714 sats per dollarmore info on the show: https://citadeldispatch.comlearn more about me: https://odell.xyzmonitor the situation: https://citadelwire.comten31: https://ten31.xyzopensats: https://opensats.org

In this episode of Fraudology, Karisse Hendrick provides a comprehensive debrief following the massive shifts in the world of artificial intelligence and digital fraud. Karisse shares her highlights and lowlights from navigating the industry's rapid evolution, cutting through the future-looking hype to provide practical insights for fraud and payments professionals.The conversation explores the evolving mechanics of Agentic AI in commerce, detailing how partnerships like the new Visa and OpenAI infrastructure are designed to make AI commerce a reality. Karisse provides an inside look at why OpenAI previously shelved its original agentic project to avoid becoming a merchant of record, shifting away from full structural ownership due to complex liability rules and low initial adoption.We also explore the "hot topics" dominating the fraud landscape today:The VAMP Threshold "Cliff": How Visa's monitoring programs offer no "trial" or "safety" months anymore, immediately penalizing merchants the first month they cross thresholds with instant fines and fees per chargeback and TC40.The Complexity of Agentic Chargebacks: Real-world examples of "authorized" AI purchases where merchants are automatically losing disputes because card brands do not yet have established "compelling evidence" rules or representment provisions for AI agents.The Hook of Cloned Sites: Why AI models looking purely for the "best deal" are inadvertently leading consumers straight into elaborate, cloned phishing websites that harvest credit card data and trigger fraudulent descriptors.Additionally, Karisse dives into the latest real-world data from a recent UK case study highlighting how fraudulent duplicate sites for household brands appeared directly inside ChatGPT's search indexes. We break down the immediate operational steps fraud leaders must take to protect their customer service channels and coordinate with IT to combat malicious DNS activity before these automated losses skyrocket.

Bitcoin just crashed below $60,000 to a 20-month low - the worst first half on record - with the Fear & Greed Index at 18 (Extreme Fear). Is the bull market over, or is this the bottom smart money is buying? Plus: a deepfake of PM Carney drains a senior's $900K, Strategy's leverage cracks, and Bull Bitcoin beats MiCA. This is the Canadian Bitcoiners Podcast.Bitcoin closed a brutal first half - down ~22% in Q1 and ~12% in Q2, a rare back-to-back losing quarter - on record US spot-ETF outflows, a hawkish Fed, and a strong dollar. But under the panic is a divergence: price held the June 26 lows for three sessions while sentiment bottomed, and Strive bought 759 BTC into the fear. We break down whether this is capitulation or the start of something worse - and why self-custodied, unleveraged holders are the only ones not being forced to sell.In this episode of the Canadian Bitcoiners Podcast:Bitcoin below $60K: 20-month low, Extreme Fear at 18, and the contrarian caseThe AI-deepfake-of-Carney scam that drained an 86-year-old's $900KStrategy (MSTR) under a securities probe as 'guaranteed' STRC preferred hits record lowsBull Bitcoin secures MiCA in France with self-custody intact - while Binance exits the EUThe CLARITY Act's Senate coin-flip and what it means for BitcoinBank of Canada holds at 2.25% as oil and the Iran war stoke inflationFranklin's Bitcoin DRIP ETFs, Hut 8's $2.35M settlement, and an OKX prize disputeNotable North: a halved carjacking sentence, the door-kick challenge, 24 Sussex, the $1T grid plan, and CUSMACanadian Bitcoiners PodcastWebsite: https://canadianbitcoiners.comX: @CanadianBTCPodSubscribe & turn on notificationsThe throughline: the leverage and the custodians break in a crash - the protocol doesn't. Lower fiat price is not a broken Bitcoin. Extreme Fear is where conviction gets bought.Sources: CoinDesk, Fortune, Yahoo Finance, Bitcoin Magazine, The Block, CP24, CTV News, National Post, CBC, Bank of Canada, Congress.gov, Al Jazeera.This week's crash coverage is brought to you by the people who think your money should be yours - especially when everyone else is panicking.————————————————————————————————SPONSORS

Thank you for joining us for our 2nd Cabral HouseCall of the weekend!   I'm looking forward to sharing with you some of our community's questions that have come in over the past few weeks…   Amy: Hi Dr Cabral. Many thanks for all that you do for this community! I'd love your advice on anal fissures. I had one recently that had begun healing. My doctor gave me Diltiazem/Lidocaine cream that I used 2x day and my fissure closed and developed healing/scar tissue. However, less than 2 months later, it's opened again. His suggestions previously involved either Botox injections or surgery if the cream had not worked and I would prefer to try and address it more naturally. Do you have any suggestions about what I can do to get this fissure to heal and stay healed naturally? I'm working on diet/fiber but that doesn't seem to be enough. One bad bout of constipation and it seems to undo anything I've done to help. Thanks!       Anonymous: Hi Dr. Cabral. This is a bit of an intimate question. I'm having some sort of reaction after I have sexual intercourse. I get a prickly, itchy, warm sensation in my vagina, on my legs and stomach. Sometimes red bumps appear on my skin. Almost like I'm having an allergic reaction. Symptoms continue on and off for about 3 or 4 days then everything calms down and goes back to normal. It seems to happen more around ovulation and menstruation but recently happening anytime of the month. Any idea what is happening to me and what I can do to heal it?! To note, I'm 40 years old, still getting regular periods. Thank you for your help!       Mke: Hi Dr Cabral, would love your thoughts. I have known for a year I've had silicosis & PMF (progressive massive fibrosis) I was misdiagnosed for the last 15 years they've told me I've had sarcoidosis. My wife is an IHP, and we have been doing foundational protocols/DNS/detoxes/heavy metal detox/saunas/coffee enemas etc for the past 3 years. I have a very physical job and do keep my cardio fitness up, which seems to help my breathing. We have just invested in a home soft shell hyperbaric chamber after speaking to a guy in the US who's lung function has dramatically improved (he has silicosis but not PMF) as well as investing in a rife machine. Do you have any advice, thoughts or info on slowing down or reversing scarring or anything that might help?       Jamie: My daughter, nearly seven, has developed severe hay fever this year in the UK. She is constantly sneezing, has dark circles under her eyes, looks exhausted for almost three months, and her sleep, breathing, concentration and focus seem affected. She may also have a mild dairy intolerance, possibly linked to eczema in her inner elbows, though otherwise she is active and well. We also suspect slightly restricted sinus passages and mouth-breathing, and are considering seeing a functional-medicine-style dentist to support facial/skull development. Could you advise on practical ways to help her and whether any allergy or other tests would be worthwhile at her age to identify the root cause? Any initial guidance hugely welcome. Massive thank you to you your family and your team.      Sarah: Last year I was diagnosed with stage 4 grade 3 endometrial cancer. I underwent six rounds of chemotherapy: Paclitaxel and carboplatin along with immunotherapy; jemperli. I also had a complete hysterectomy after the third round. Prior to treatment I had regular bowel movements. Now they are loose and very dark brown. I have very limited resources currently. What do you suggest I do to heal my gut?    Thank you for tuning into this weekend's Cabral HouseCalls and be sure to check back tomorrow for our Mindset & Motivation Monday show to get your week started off right! - - - Show Notes and Resources: StephenCabral.com/3796 - - - Get a FREE Copy of Dr. Cabral's Book: The Rain Barrel Effect - - - Join the Community & Get Your Questions Answered: CabralSupportGroup.com - - - Dr. Cabral's Most Popular At-Home Lab Tests: > Complete Minerals & Metals Test (Test for mineral imbalances & heavy metal toxicity) - - - > Complete Candida, Metabolic & Vitamins Test (Test for 75 biomarkers including yeast & bacterial gut overgrowth, as well as vitamin levels) - - - > Complete Stress, Mood & Metabolism Test (Discover your complete thyroid, adrenal, hormone, vitamin D & insulin levels) - - - > Complete Food Sensitivity Test (Find out your hidden food sensitivities) - - - > Complete Omega-3 & Inflammation Test (Discover your levels of inflammation related to your omega-6 to omega-3 levels) - - - Get Your Question Answered On An Upcoming HouseCall: StephenCabral.com/askcabral - - - Would You Take 30 Seconds To Rate & Review The Cabral Concept? The best way to help me spread our mission of true natural health is to pass on the good word, and I read and appreciate every review!  

Welcome back to our weekend Cabral HouseCall shows!   This is where we answer our community's wellness, weight loss, and anti-aging questions to help people get back on track!   Check out today's questions:    Anonymous: I'm a 46-year-old female (163 cm, 81.5 kg) recent leg swelling, especially left leg with significant fluid from the knee into the foot. Blood clot + kidney issues are ruled out, but ALT is at 209 U/L (10–45). In January a doctor diagnosed lipedema stage 1–2 in legs and arms, left leg was not swollen like this then. My legs may swell slightly in heat, but not in Denmark. EquiLife labs are not possible here. I look 6–7 mths pregnant all day, not hard, no gas. Difficulty losing weight detoxes no longer effective. Diet smoothie (berries, kale, DNS, chia,psyllium,creatine,collagen), lunch cauliflower rice, chicken, arugula, dinner potatoes/meat/veg, pasta 1–2xweek, water + 1–2 drinks/week.I'm peri started bioidentical hormones in January hot flashes gone, mood improved. If I was your wife?      Sarah: Hello! I had a question about 'fascia blasting'. Despite doing everything you recommend for cellulite for years now, I still have it on my legs. For a few weeks ive been trying fascia blasting with  device and my legs have improved so much. They feel firmer, less painful to touch, and cellulite has improved. I cant believe the results. Curious what your thoughts are on this. Is it 'dangerous' (as some comments online say), is there any science behind it? My skin does bruise alot after I do it, but this doesnt bother me as the results I've been seeing are great. Always trust your imput, thanks so much!!       Trent: Hi, I have never had trouble sleeping up until around 6 weeks ago. When it first started, I started waking up in between 3-4am, having very deep vivid dreams every night. Most of the times I could get back to sleep not long after but sometimes if I wake at around 5am I stay awake. My sleep time does vary a bit but I usually get around on average 6.5-7 hours a night, sometimes more and sometimes less. Previously I had never had any troubles sleeping and would never consistently wake up at these times. 2 things I know I need to limit or stop doing is taking my laptop into bed and limit my sugar intake. I do not feel stressed at the moment but I do have some big decision to make this year that are always on my mind.       Sarah: Hello! I've recently been hearing about chlorine neutralizer sprays that some parents use on children before or after swimming. From what I understand, many contain vitamin C or similar ingredients that are supposed to neutralize chlorine or chloramines on the skin and hair to help reduce irritation or exposure. I wanted to ask your opinion on them. Do you think these sprays are actually beneficial or safe for regular use on children? Are they helpful for kids with sensitive skin, eczema, or allergies, or is rinsing/showering after swimming usually enough? I've also seen some claims online about reducing chlorine absorption into the body, and I'm not sure how accurate that is. Are there better natural approaches for protecting skin before or after swimming in chlorine pools? Thanks!       Audrey: Hi Dr. Cabral, Is greenhouse grown lettuce as nutritious as non greenhouse grown? The package states not sprayed with any pesticides. I try to get my lettuce from my local farmers market but sometimes I cannot make it there. The greenhouse grown seems to be much fresher and better quality than regular store lettuce       Thank you for tuning into today's Cabral HouseCall and be sure to check back tomorrow where we answer more of our community's questions!    - - - Show Notes and Resources: StephenCabral.com/3795 - - - Get a FREE Copy of Dr. Cabral's Book: The Rain Barrel Effect - - - Join the Community & Get Your Questions Answered: CabralSupportGroup.com - - - Dr. Cabral's Most Popular At-Home Lab Tests: > Complete Minerals & Metals Test (Test for mineral imbalances & heavy metal toxicity) - - - > Complete Candida, Metabolic & Vitamins Test (Test for 75 biomarkers including yeast & bacterial gut overgrowth, as well as vitamin levels) - - - > Complete Stress, Mood & Metabolism Test (Discover your complete thyroid, adrenal, hormone, vitamin D & insulin levels) - - - > Complete Food Sensitivity Test (Find out your hidden food sensitivities) - - - > Complete Omega-3 & Inflammation Test (Discover your levels of inflammation related to your omega-6 to omega-3 levels) - - - Get Your Question Answered On An Upcoming HouseCall: StephenCabral.com/askcabral - - - Would You Take 30 Seconds To Rate & Review The Cabral Concept? The best way to help me spread our mission of true natural health is to pass on the good word, and I read and appreciate every review!  

A weekly live show covering all things Freedom Tech with Max, Q and Seth.[[BILLLKEONNE]]TO DONATE TO ROMAN'S DEFENSE FUND: https://freeromanstorm.com/donateVALUE FOR VALUEThanks for listening you Ungovernable Misfits, we appreciate your continued support and hope you enjoy the shows.You can support this episode using your time, talent or treasure.TIME:- create fountain clips for the show- create a meetup- help boost the signal on social mediaTALENT:- create ungovernable misfit inspired art, animation or music- design or implement some software that can make the podcast better- use whatever talents you have to make a contribution to the show!TREASURE:- BOOST IT OR STREAM SATS on the Podcasting 2.0 apps @ https://podcastapps.com- DONATE via Monero @ https://xmrchat.com/ugmf- BUY SOME STICKERS @ https://www.ungovernablemisfits.com/shop/FOUNDATIONhttps://foundation.xyz/ungovernableFoundation builds Bitcoin-centric tools that empower you to reclaim your digital sovereignty.As a sovereign computing company, Foundation is the antithesis of today's tech conglomerates. Returning to cypherpunk principles, they build open source technology that “can't be evil”.Thank you Foundation Devices for sponsoring the show!Use code: Ungovernable for $10 off of your purchaseCAKE WALLEThttps://cakewallet.comCake Wallet is an open-source, non-custodial wallet available on Android, iOS, macOS, and Linux.Features:- Built-in Exchange: Swap easily between Bitcoin and Monero.- User-Friendly: Simple interface for all users.Monero Users:- Batch Transactions: Send multiple payments at once.- Faster Syncing: Optimized syncing via specified restore heights- Proxy Support: Enhance privacy with proxy node options.Bitcoin Users:- Coin Control: Manage your transactions effectively.- Silent Payments: Static bitcoin addresses- Batch Transactions: Streamline your payment process.Thank you Cake Wallet for sponsoring the show!MYNYMBOXhttps://mynymbox.ioYour go-to for anonymous server hosting solutions, featuring: virtual private & dedicated servers, domain registration and DNS parking. We don't require any of your personal information, and you can purchase using Bitcoin, Lightning, Monero and many other cryptos.Explore benefits such as No KYC, complete privacy & security, and human support.

PHP Podcast – June 25, 2026 Hosts: Eric Van Johnson & John Congdon Eric and John are back. Sara and Holly did a better job. Eric’s computer still hates him. Eric’s Connectivity Saga: A Possible Resolution For weeks, Eric has been dealing with a maddening streaming issue — he could see and hear everyone, but nobody could hear or see him. It only happened during Zoom, Slack huddles, and Restream sessions. No one could explain it, including Eric. The apparent fix came by accident: while helping his kid troubleshoot a similar issue, Eric pulled up his own DNS settings and discovered they were only pointing to his router with no upstream fallback. He manually added Google’s 8.8.8.8 and Cloudflare’s 1.1.1.1 — and for the first time in weeks, had zero issues all week. Does DNS explain streaming dropouts? Almost certainly not. Does it appear to have fixed it? So far, yes. Computers are stupid. Eric needs to retire and open a landscaping business. Two Weeks Off: Road Trip, Pittsburgh, and a Graduation John took the family on a road trip that included national park hikes, biking across the Golden Gate Bridge, and a swing through Universal Studios. Eric headed to Pittsburgh, technically West Virginia, for his niece’s high school graduation. Eric came away impressed with how much Pittsburgh has changed: what was once a gritty steel city has quietly become a genuinely beautiful place. He’s half-serious about looking at it as a future PHP Tek location. Sara and Holly: The Better Hosts Eric and John opened with a heartfelt thank-you to Sara Golemon and Holly Schilling for covering the last two weeks. John’s take: Sara and Holly showed up with documents, had a plan, and ran a tighter show. He’s joking about handing over the keys — mostly. PHP Architect Takes Over Laravel Magazine Here’s the announcement Eric was teasing before the break: PHP Architect has taken over the Laravel Magazine brand. It was originally a Statamic, which Eric rebuilt from scratch over the past couple of weeks. No plans to create a print magazine — it will remain a web-only publication. Eric is thinking about opening it to outside contributors, and there’s a real possibility of a dedicated Laravel column eventually appearing in the PHP Architect magazine. The new consulting section Eric built for the site looks sharp enough that John immediately pointed out it looks better than what’s currently on phparch.com. Foam Burner Feature: Proof of Concept Wars John got a big feature in Foam Burner across the finish line — or at least mostly across — recorded a screencast, and sent it off to the people who care. The immediate response: a list of compliance concerns and edge cases. This is a proof of concept. John is sympathetic, having just had to tell Eric the same thing about Laravel Magazine. The cycle of building something you’re proud of and then having someone find the things that aren’t done yet is a universal developer experience. Code Review in the Age of AI — What’s the Point? John is in a strange spot: he’s doing careful code review on pull requests written entirely by Claude, submitted by non-developers. His detailed, educational feedback — the kind meant to help a developer understand why something was done a particular way — is just being fed back into Claude to generate revisions. Nobody’s learning anything. An incident during his vacation reinforced why the reviews matter: someone deployed AI-generated code that wasn’t well reviewed, it broke overnight, and the team had to revert it the next morning. His position: keep reviewing, even if the audience is an AI. But the nature of what you’re reviewing for has to change — you’re no longer nurturing a developer; you’re being a gate. Eric’s broader point: if you’re a developer who cares about the craft, don’t let AI make you lazy. Learn from how it implements things. Ask it why. The thing that will differentiate developers when AI really matures is genuine understanding of what the code is doing — and that only comes from staying curious. PHP Generics RFC — Closed The Generics RFC was shut down while Eric and John were away, and Eric is genuinely disappointed. The proposal was for syntax-only generics: type annotations that static analyzers could read but that would be stripped at the opcode level, meaning no runtime performance impact. The goal was to standardize the generics syntax so PHPStan, Psalm, and other tools all read it the same way — right now they each implement their own dialect. Sara voted no (she explained her reasoning in the June 17 episode). Joe abstained. Whether an active abstain requires a deliberate action or is the default for a non-vote is apparently still a matter of some debate. PHP Tek 2026 Talks Now on PHP Tech TV Talks from PHP Tek 2026 are being uploaded to phptech.tv. Subscribers can watch the full library. Several speakers have given permission to make their talks free, and Ben Ramsey’s is one of them. John also added video progress tracking to the platform — it now remembers how far into a video you’ve watched. This Week in PHP Internals (Artisan Build) While looking for a PHP Internals podcast that Nuno appears to have started (possibly in connection with the PHP Foundation after PHPverse), Eric stumbled on a different show: This Week in PHP Internals, hosted on the Artisan Build site, with four episodes out. Eric doesn’t know who runs it but says it’s good — short, focused, and gets to the point. He’s also still looking for confirmation on what exactly Nuno’s new podcast is and who it’s for. For reference: the original PHP Internals podcast was Derick Rethans’ show, which he hasn’t updated in four or five years. The ecosystem growing new shows is a good sign. PHP Friends RFC — Under Discussion John has been watching the friends RFC, currently in the discussion phase. The idea: a class can explicitly declare another class as a “friend,” granting it access to private properties without requiring inheritance. The canonical use case is a builder pattern — a UserBuilder that needs to set private fields on User without a thousand public setters, and without making those fields non-private. Holly, in chat, noted that the friend model is a special case of a “surfaces” model she proposed a few years back. She also shared that Swift doesn’t have protected at all (just public and private) — something she initially found frustrating but has come to appreciate. Eric admits he’s been guilty of abusing inheritance over the years and is more thoughtful about it now. The RFC is still under discussion; no vote yet. Eric Drops PHPStorm — Falls Back in Love with Vim Eric canceled his JetBrains All Products subscription. Not because there’s anything wrong with PHPStorm — he’s explicit about that — but because he’s been doing so much work via Claude Code and making only targeted, smaller changes himself that the license fee no longer made sense. His replacement workflow: VS Code for some things, Vim for others. The Vim part was supposed to be supplemental. Instead, his terminal has taken over: it went from a panel alongside PHPStorm to taking up two-thirds of his screen to now living on its own separate virtual desktop. He’s running Spotify in the terminal. He briefly ran Slack in the terminal. He uses Tmux religiously. “I have problems,” he acknowledged. He would not take this back. Links from the show: Laravel Magazine — Now under PHP Architect PHP Tech TV — PHP Tek 2026 talks now uploading PHP RFC Wiki — All RFCs under discussion PHP Tek 2027 — April 27–29 (phptek.io) PHP Architect Discord Host: Eric Van Johnson X: @shocm Mastodon: @eric@phparch.social Bluesky: @ericvanjohnson.bsky.social PHPArch.me: @eric John Congdon X: @johncongdon Mastodon: @john@phparch.social Bluesky: @johncongdon.bsky.social PHPArch.me: @john Streams: Youtube Channel Twitch Connect & Hire PHP Architect Website Twitter/X Mastodon Hire PHP Developers Looking to hire PHP developers? Email support@phparch.com – Joe and the team are available for consulting, infrastructure work, Ansible playbooks, and code review. Partner This podcast is made a little better thanks to our partners Displace Infrastructure Management, Simplified Automate Kubernetes deployments across any cloud provider or bare metal with a single command. Deploy, manage, and scale your infrastructure with ease. https://displace.tech/ PHPScore Put Your Technical Debt on Autopay with PHPScore CodeRabbit Cut code review time & bugs in half instantly with CodeRabbit. Music Provided by Epidemic Sound https://www.epidemicsound.com/ Join Us Live Next Week Youtube Channel Got feedback? Join us on Discord at discord.phparch.com The post The PHP Podcast 2026.06.25 appeared first on PHP Architect.

Network Address Translation (NAT), a foundational element of IPv4, faces critical reassessment as IPv6 deployment shifts the landscape. Ed and Tom evaluate the evolving role of NAT, questioning whether traditional translation models remain necessary when stateful packet inspection offers more robust, transparent security solutions. Episode Links: “Fanboy” series – IPv6 and NATs – YouTube

Dr. Kevin Christie interviews Dr. Audra Lance, a Nashville-area chiropractor and owner of a cash-based clinic in Brentwood that treats high performers with longer appointments and individualized plans using techniques like DNS and ART. Dr. Lance shares her path from graduating National University of Health Sciences in 2013 to opening a practice immediately, including early financial hardship, slow growth, and building through mentorship, shadowing, certifications, and authentic community networking. She explains how word-of-mouth led to working with pro athletes and entertainers, and offers guidance on treating recognized clients professionally with flexibility and without being starstruck. The conversation covers the realities of cash practice scaling, clinical competence alongside positioning and marketing, associate vs. owner career paths, leadership and reinvestment in team benefits, and rebranding.

Network Address Translation (NAT), a foundational element of IPv4, faces critical reassessment as IPv6 deployment shifts the landscape. Ed and Tom evaluate the evolving role of NAT, questioning whether traditional translation models remain necessary when stateful packet inspection offers more robust, transparent security solutions. Episode Links: “Fanboy” series – IPv6 and NATs – YouTube

Network Address Translation (NAT), a foundational element of IPv4, faces critical reassessment as IPv6 deployment shifts the landscape. Ed and Tom evaluate the evolving role of NAT, questioning whether traditional translation models remain necessary when stateful packet inspection offers more robust, transparent security solutions. Episode Links: “Fanboy” series – IPv6 and NATs – YouTube

DNSimple has a CLI! Carl and Richard talk to DNSimple CEO Anthony Eden about the evolution of the DNSimple CLI in today's software market. DNSimple provides DNS, domain registrar, and certificate services - so why does it need a CLI? Anthony talks about earlier experiments with CLIs for folks who didn't want to use the web interface. But today, large language models change the game and work best with a CLI - those specific commands mean more accurate results from LLMs, which make for a powerful natural language interface experience. The conversation covers the new tooling around LLMs, how the registrar market has evolved, changes to certificates, and ICANN's recent announcement of new gTLDs. DNSimple continues to evolve with the times! Check the show notes for a link for ten dollars off anything at DNSimple!

Illinois just signed the most punitive digital asset tax in US history — a 0.2% fee on every Bitcoin transfer, purchase, and receipt. Effective January 1, 2027. No exemption for transfers to your own wallet. And out-of-state brokers serving Illinois residents are captured too. This week on Canadian Bitcoiners, we break down exactly what the Illinois Digital Asset Tax Act does, who it hits, and why the Crypto Council for Innovation called it "the only state to punitively tax customers simply for receiving digital asset activity."But Illinois isn't the only story. The Federal Reserve proposed bank-style KYC requirements for every stablecoin issuer on June 18 — five agencies, joint rulemaking, comments close August 21. Stablecoins are officially becoming banks. Microsoft disclosed a Tor-based clipper malware campaign (Trojan/CryptoBandits.A) that has been running since February 2026, stealing Bitcoin seed phrases from clipboards and redirecting wallet addresses to attacker wallets via USB worm propagation. If your seed phrase ever passed through a shared Windows machine, you need to hear this.On the Canadian side: Prime Minister Carney's first federal budget cancelled the luxury tax on private jets and yachts — the only item in his budget that makes something cheaper — while Durham Region closed a homeless shelter and homelessness spiked 77% in eight months. Strategy's preferred stock STRC hit a record low of $87 against $100 par. Binance exits the EU on July 1. Jack Mallers' $140M XXI stock option package gets scrutinized. Bitcoin mining difficulty dropped 10% in the 11th-largest downward adjustment in network history.The week's thesis: every financial instrument that isn't Bitcoin is being taxed, tracked, or banned. Illinois taxed transfers. The Fed KYC'd stablecoins. Binance got pushed out of the EU. Bitcoin is the last lane still open.⚡ Canadian Bitcoiners Podcast — Bitcoin news for Canadians, every week.————————————————————————————————SPONSORS

In recent PING episodes, APNIC Chief Scientist Geoff Huston has asserted that Internet routing has shifted away from traditional IP packet forwarding. Instead, it is increasingly driven by processes that map names to addresses. It's no longer just about your IP address or the specific endpoint you think you're connecting to, it's about your location and which intermediary services can most effectively handle your request. How does this actually work in practice? What processes determine where your request is served from, and who makes those decisions? In the latest episode of PING, we explore this topic. Of course, IP-level routing hasn't disappeared. For optimizing content delivery using a ‘closest' node model, anycast remains a critical technique, using BGP to direct traffic to the nearest available server, and it is widely deployed at scale. However, this approach is increasingly supplemented by name-based mechanisms, particularly those driven by DNS, to more precisely determine where requests should be directed. The way endpoints are identified in an Internet protocol exchange is changing, and this shift has broader implications for the nature of the network. As a result, we are seeing some trends emerge: Control over routing decisions for application content has shifted away from ISPs operating at the BGP layer and towards higher-level logistics functions in the stack. These decisions are now typically made by service providers offering optimized content delivery as a managed service. Provision of this optimization is typically carried out through DNS-based mechanisms. As a result, organizations often delegate their DNS to the same content delivery provider, allowing it to control request routing. This gives the intermediary significant influence over how and where traffic for a domain is directed. Together, these trends are likely to reinforce the growth of ‘walled garden' vertical markets. Application-specific delivery methods are increasingly positioned as competitive advantages over generic services (such as standard video streaming), meaning that both application choice and DNS-based steering can guide users into more closed, vertically integrated environments.

Favour Obasi-ike, MBA, MS breaks down the anatomy of a business website. He explains that owning a domain, hosting, and a mailbox are just the starting points; maintaining a website is like maintaining a house. Favour details the risks of platform lock-in (like the migration challenges with Squarespace and Bluehost) and emphasizes the importance of a standalone FAQ page to boost search impressions. He provides a checklist for website owners, covering image compression, canonical tags, and critical integrations like Google Search Console and Bing Webmaster Tools.>>

Illinois just signed the most punitive digital asset tax in US history — a 0.2% fee on every Bitcoin transfer, purchase, and receipt. Effective January 1, 2027. No exemption for transfers to your own wallet. And out-of-state brokers serving Illinois residents are captured too. This week on Canadian Bitcoiners, we break down exactly what the Illinois Digital Asset Tax Act does, who it hits, and why the Crypto Council for Innovation called it "the only state to punitively tax customers simply for receiving digital asset activity."But Illinois isn't the only story. The Federal Reserve proposed bank-style KYC requirements for every stablecoin issuer on June 18 — five agencies, joint rulemaking, comments close August 21. Stablecoins are officially becoming banks. Microsoft disclosed a Tor-based clipper malware campaign (Trojan/CryptoBandits.A) that has been running since February 2026, stealing Bitcoin seed phrases from clipboards and redirecting wallet addresses to attacker wallets via USB worm propagation. If your seed phrase ever passed through a shared Windows machine, you need to hear this.On the Canadian side: Prime Minister Carney's first federal budget cancelled the luxury tax on private jets and yachts — the only item in his budget that makes something cheaper — while Durham Region closed a homeless shelter and homelessness spiked 77% in eight months. Strategy's preferred stock STRC hit a record low of $87 against $100 par. Binance exits the EU on July 1. Jack Mallers' $140M XXI stock option package gets scrutinized. Bitcoin mining difficulty dropped 10% in the 11th-largest downward adjustment in network history.The week's thesis: every financial instrument that isn't Bitcoin is being taxed, tracked, or banned. Illinois taxed transfers. The Fed KYC'd stablecoins. Binance got pushed out of the EU. Bitcoin is the last lane still open.⚡ Canadian Bitcoiners Podcast — Bitcoin news for Canadians, every week.————————————————————————————————SPONSORS

A breach at market intelligence platform Klue allowed attackers to steal OAuth tokens linking Clue to customers' Salesforce environments, enabling quiet API-driven data extraction from firms including Huntress, Recorded Future, Tanium, and Jamf; Clue revoked tokens, removed the legacy integration credential involved, and engaged CrowdStrike as Icarus threatens extortion, echoing earlier Salesforce token-theft campaigns affecting nearly 1,000 companies.  Researchers also detail AriStinger, a new botnet infecting 4,000+ end-of-life D-Link routers to scan, proxy, tunnel, execute commands, and hijack DNS, with many infections in South Korea and China. The episode covers federal cyberstalking charges against Anthony Belford for allegedly using fake accounts and AI-generated nude images, and ESET's report that the "Gentleman" ransomware crew is developing modular EDR-killing tools to disable endpoint defenses. 00:00 Top Stories Teaser 00:29 Clue OAuth Token Breach 02:32 Salesforce Token Attack Trend 04:14 AryStinger Router Botnet 05:33 AI Deepfake Cyberstalking Case 07:50 Gentleman EDR Killer Arsenal 09:37 Wrap Up And Sign Off

Welcome back to our weekend Cabral HouseCall shows!   This is where we answer our community's wellness, weight loss, and anti-aging questions to help people get back on track!   Check out today's questions:    Lena: Hi Dr. Cabral, I absolutely love your podcast and listen to it every day! Thank you for everything you do to make us all healthy! My question is, how do you feel about taking supplements for 5 days and then not taking them for 2 days? Is this good for the body or is better to take them every day? Thank you so much!      Hilary: Hi Doc, Thank you for sharing your knowledge and wisdom with all of us! I recently started going to a biological dentist. He said that my gums are inflamed and gave me an ozone treatment. Is there a root cause or a way to find a root cause for inflamed gums?      Mohamed: Hello Dr.Cabral.. Ive been a daily viewer of your podcast for a few years now.. really struggling. I've watched all your blood pressure videos. Tried everything to lower my dad's Bp. Magnesium, Omega 3, DNS. To no avail. Ive also tried to increase his potassium. It's frustrating.. he takes a combo of Amplodine (CC blocker and Telmisartan ARB) Even that doesn't help.. what do you recommend. He did his minerals and metals lab. Potassium was green, sodium was borderline yellow at 11. Magnesium was a 5 (exactly green). Calcium 66 (green but close to orange). Ca/Mg ratio is high. Ca/K ratio which is elevated. Na/Mg is low. One thing we haven't tried was proteolytic enzymes.. honestly I think it's hardening of Arteries. He's late 60s. Thanks Doc       Karen: Hi, Dr. Cabral I have a lot of health issues: POTS, MCAS, very very low HRV, extreme postprandial heart elevation after eating, extreme fatigue, Ehlers Dahlos/hyper mobility. I saw a functional medicine doctor to try to get on a good health track but it became focused on elimination diet which became too extreme for me because I have a history of an eating disorder. (almost 10 years ago but still, I was losing too much weight for it to be healthy for me) Please advise where to start and if it is possible to get on track without doing elimination diet. Thank you!       Aidan: Hi Dr Cabral, roughly 9 months ago I was sick with mono for about 6 weeks. As my symptoms eased I began to notice a lot of tingling and numbness in my limbs, 90% in the left arm. As I returned to fitness and the feeling went away I found my pressing strength in the left side was very diminished. My tricep, left upper pec, and left lat lost a lot of size and I was unable to load them anywhere close to where I could prior. I went to the a neurologist and it was revealed through EMG I have a pinch in my elbow and neck. It is also suspected that I could have some kind of post viral neuropathy as ever since then I do experience lots of weird tingling in my arms and sometimes legs as well as the strength defect and I am struggling to get back. Looking for any advice, I feel like I'm losing hope       Thank you for tuning into today's Cabral HouseCall and be sure to check back tomorrow where we answer more of our community's questions!    - - - Show Notes and Resources: StephenCabral.com/3788 - - - Get a FREE Copy of Dr. Cabral's Book: The Rain Barrel Effect - - - Join the Community & Get Your Questions Answered: CabralSupportGroup.com - - - Dr. Cabral's Most Popular At-Home Lab Tests: > Complete Minerals & Metals Test (Test for mineral imbalances & heavy metal toxicity) - - - > Complete Candida, Metabolic & Vitamins Test (Test for 75 biomarkers including yeast & bacterial gut overgrowth, as well as vitamin levels) - - - > Complete Stress, Mood & Metabolism Test (Discover your complete thyroid, adrenal, hormone, vitamin D & insulin levels) - - - > Complete Food Sensitivity Test (Find out your hidden food sensitivities) - - - > Complete Omega-3 & Inflammation Test (Discover your levels of inflammation related to your omega-6 to omega-3 levels) - - - Get Your Question Answered On An Upcoming HouseCall: StephenCabral.com/askcabral - - - Would You Take 30 Seconds To Rate & Review The Cabral Concept? The best way to help me spread our mission of true natural health is to pass on the good word, and I read and appreciate every review!  

As director of Keyhole, Dave Lorenzini delivered the 3D Earth zooms that ran on CNN during the 2003 Iraq War — netting five million users in a month. Sergey Brin was one of them. Google bought the company and poured in billions to build, fuel, and serve maps. As Google Earth, it forever changed how we relate to space.From there: pioneering work on Google Glass, AR platforms, and running an immersive XR lab in Europe for Draw & Code exploring the future of spaces, places, and faces. Today Dave directs Quantum Studio, building World Agent and 4D ID — the "DNS for real space," an addressing layer where every place, object, and moment gets a name AI systems can agree on. His thesis: the next decade of AI won't run on better maps. AI needs an operating system for reality. Not a map. Not a database. A living, queryable foundation where every place on Earth answers for itself.AI XR News: The OpenAI vs. Musk trial continued with damaging testimony from Mira Murati and Greg Brockman. Anthropic struck an unholy alliance with xAI's Colossus compute. GameStop bid for eBay. Colin Angle is back with Familiar, an AI robot pet. Coinbase cut staff. Ask.com finally died. VRChat hit 100,000 concurrent daily users in Japan.Key Moments:[00:03:34] AWE Long Beach in 30 days: Dave on the board, Snap glasses expected, 400 speakers and 250 exhibitors[00:20:10] 30 AI glasses coming: why the near future belongs to audio-first, AI-powered smart glasses[00:25:34] Keyhole origin story: satellite imagery, $25K/sq mile, Sergey Brin, and a $500M/year acquisition[00:37:30] Google Glass, Luxottica, and why Google blinked when it could have been 10 years ahead of Meta[00:40:00] XR vs. rockets: why building for the human brain is harder than getting to MarsBrought to you by Zappar, the company behind Mattercraft — the leading visual development environment for immersive 3D web experiences. Start building at mattercraft.io.Subscribe to the AI XR Podcast wherever you listen to podcasts. Watch the full episode on YouTube: https://youtu.be/weNANIIo7EA Hosted on Acast. See acast.com/privacy for more information.