Podcasts about Connectivity

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

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

Kyle Grieve and Shawn O'Malley analyze SpaceX's blockbuster 2026 IPO, dissecting the company's three segments: Space, Connectivity, and AI. They'll also look at its history, moats, capital allocation, debt, and incentive structure. They'll stress-test SpaceX's aggressive $28.5 trillion total addressable market claim and walk through the key risks facing the business, from key-man dependence to regulatory exposure.  IN THIS EPISODE YOU'LL LEARN: (00:00:00) Intro (00:06:28) How Elon Musk's early rocket failures almost sank SpaceX (00:08:11) How Space, Connectivity, and AI segments actually work (00:10:38) Why reusable rockets are reshaping launch economics (00:12:00) Whether the AI segment is worrisome (00:32:54) What's really driving Connectivity's improving margins (00:34:19) How to think about SpaceX's R&D and capital spending (00:42:00) Why SpaceX's debt picture is more nuanced than it looks (00:47:41) How Musk's pay package ties to Mars and market cap benchmarks (00:51:33) What risks could derail the SpaceX growth story (00:59:27) Why its claimed market opportunity may be overstated (01:05:28) Whether SpaceX's valuation can be justified by the numbers (01:09:08) Intrinsic Value of SpaceX (01:10:59) Whether Kyle and Shawn will add SpaceX to the Intrinsic Value Portfolio Disclaimer: Slight discrepancies in the timestamps may occur due to podcast platform differences. BOOKS AND RESOURCES Join the exclusive ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Intrinsic Value Mastermind Community⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Track ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Intrinsic Value Portfolio⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Learn more about how to join us in NYC for our ⁠⁠⁠Intrinsic Value Conference⁠⁠⁠. Read Elon Musk by Walter Isaacson here. Read Elon Musk by Ashlee Vance here. Check out the SpaceX prospectus here. Follow Kyle on Twitter and LinkedIn. Related ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠books⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ mentioned in the podcast. Ad-free episodes on our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Premium Feed⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. NEW TO THE SHOW? Get smarter about valuing businesses through ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Intrinsic Value Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Check out ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Investor's Podcast Starter Packs⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Follow our official social media accounts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Try our tool for picking stock winners and managing our portfolios: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TIP Finance⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Enjoy exclusive perks from our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠favorite Apps and Services⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Learn how to better start, manage, and grow your business with the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠best business podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. SPONSORS Support our free podcast by supporting our ⁠⁠⁠sponsors⁠⁠⁠: ⁠⁠⁠⁠⁠⁠⁠Fiscal.AI⁠⁠⁠⁠ References to any third-party products, services, or advertisers do not constitute endorsements, and The Investor's Podcast Network is not responsible for any claims made by them. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://theinvestorspodcastnetwork.supportingcast.fm

In this episode of the Seatrade Maritime Podcast, correspondent Gary Howard sits down at Posidonia with Robert Sakker, president & CEO of Pulsar International, and Ben Palmer OBE, president of Viasat Commercial, to explore how next-generation satellite connectivity is reshaping life and work at sea.From the mental health of seafarers caught in geopolitical crises to the fiercely demanding Greek shipping market, the conversation dives into why reliable, secure, and high-capacity connectivity is now a strategic necessity—not just a technical nice-to-have.Robert and Ben unpack NexusWave, a fully managed, bonded multi-network service that combines LEO, GEO, and cellular to deliver resilient connectivity for ship operations and crew welfare. They discuss the shift from price-driven decisions to value and outcomes, the growing role of cyber security as ships become “mobile offices,” and how multi-orbit, software-defined networks and upcoming Viasat-3 satellites are setting the stage for the next five years of maritime digitalisation.

The following article of the Trade & Investment industry is: “Air Connectivity: The Lifeline of Sustainable Tourism Growth” by Rodrigo Esponda Cascajares, Managing Director, Los Cabos Tourism Board. (AA1427)

In today's episode, Kyle Grieve and Shawn O'Malley analyze SpaceX's blockbuster 2026 IPO, dissecting the company's three segments: Space, Connectivity, and AI. They'll also look at its history, moats, capital allocation, debt, and incentive structure. They'll stress-test SpaceX's aggressive $28.5 trillion total addressable market claim and walk through the key risks facing the business, from key-man dependence to regulatory exposure.  IN THIS EPISODE YOU'LL LEARN: (00:00:00) Intro(00:06:56) How Elon Musk's early rocket failures almost sank SpaceX(00:08:36) How Space, Connectivity, and AI segments actually work(00:10:56) Why reusable rockets are reshaping launch economics(00:12:04) Whether the AI segment is worrisome(00:29:57) What's really driving Connectivity's improving margins(00:31:16) How to think about SpaceX's R&D and capital spending(00:38:45) Why SpaceX's debt picture is more nuanced than it looks(00:44:19) How Musk's pay package ties to Mars and market cap benchmarks(00:48:08) What risks could derail the SpaceX growth story(00:55:57) Why its claimed market opportunity may be overstated(01:01:36) Whether SpaceX's valuation can be justified by the numbers(01:05:16) Intrinsic Value of SpaceX(01:07:05) Whether Kyle and Shawn will add SpaceX to the Intrinsic Value Portfolio Disclaimer: Slight discrepancies in the timestamps may occur due to podcast platform differences. BOOKS AND RESOURCES Join the exclusive ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Intrinsic Value Mastermind Community⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Track ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Intrinsic Value Portfolio⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Learn more about how to join us in NYC for our ⁠⁠⁠⁠Intrinsic Value Conference⁠⁠⁠⁠. Read Elon Musk by Walter Isaacson ⁠here⁠. Read Elon Musk by Ashlee Vance ⁠here. Check out the SpaceX prospectus ⁠here⁠. Follow Kyle on ⁠Twitter⁠ and ⁠LinkedIn⁠. Related ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠books⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ mentioned in the podcast. Ad-free episodes on our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Premium Feed⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. NEW TO THE SHOW? Get smarter about valuing businesses through ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Intrinsic Value Newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Check out ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠The Investor's Podcast Starter Packs⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Follow our official social media accounts: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠X⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠LinkedIn⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ | ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Facebook⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Try our tool for picking stock winners and managing our portfolios: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TIP Finance⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Enjoy exclusive perks from our ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠favorite Apps and Services⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. Learn how to better start, manage, and grow your business with the ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠best business podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. SPONSORS Support our free podcast by supporting our sponsors: Plus500 Netsuite Shopify Vanta References to any third-party products, services, or advertisers do not constitute endorsements, and The Investor's Podcast Network is not responsible for any claims made by them. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://theinvestorspodcastnetwork.supportingcast.fm

Links For The Occult Rejectshttps://linktr.ee/theoccultrejectsOccult Research Institutehttps://www.occultresearchinstitute.org/Substackhttps://substack.com/@theoccultrejects?r=7auau0&utm_campaign=profile&utm_medium=profile-pageCash Apphttps://cash.app/$theoccultrejectsVenmo@TheOccultRejectsBuy Me A Coffeebuymeacoffee.com/TheOccultRejectsPatreonhttps://www.patreon.com/TheOccultRejectsAssmann, Jan. Death and Salvation in Ancient Egypt. Translated by David Lorton. Cornell University Press, 2005.Ariès, Philippe. The Hour of Our Death. Translated by Helen Weaver. Knopf, 1981.Beard, Mary, John North, and Simon Price. Religions of Rome. 2 vols. Cambridge University Press, 1998.Blackmore, Susan. Dying to Live: Near-Death Experiences. Prometheus Books, 1993.Boyce, Mary. Zoroastrians: Their Religious Beliefs and Practices. Routledge, 1979.Bremmer, Jan N. The Rise and Fall of the Afterlife: The 1995 Read-Tuckwell Lectures at the University of Bristol. Routledge, 2002.Chalmers, David J. “Facing Up to the Problem of Consciousness.” Journal of Consciousness Studies 2, no. 3 (1995): 200–219.Fenwick, Peter, and Elizabeth Fenwick. The Art of Dying: A Journey to Elsewhere. Continuum, 2008.Graf, Fritz, and Sarah Iles Johnston. Ritual Texts for the Afterlife: Orpheus and the Bacchic Gold Tablets. 2nd ed. Routledge, 2013.Greyson, Bruce. After: A Doctor Explores What Near-Death Experiences Reveal about Life and Beyond. St. Martin's Essentials, 2021.Greyson, Bruce. “The Near-Death Experience Scale: Construction, Reliability, and Validity.” Journal of Nervous and Mental Disease 171, no. 6 (1983): 369–375.Griffiths, Roland R., William A. Richards, Una McCann, and Robert Jesse. “Psilocybin Can Occasion Mystical-Type Experiences Having Substantial and Sustained Personal Meaning and Spiritual Significance.” Psychopharmacology 187, no. 3 (2006): 268–283.Hornung, Erik. The Ancient Egyptian Books of the Afterlife. Translated by David Lorton. Cornell University Press, 1999.Johnston, Sarah Iles. Restless Dead: Encounters between the Living and the Dead in Ancient Greece. University of California Press, 1999.Kerr, Christopher W., et al. “End-of-Life Dreams and Visions: A Longitudinal Study of Hospice Patients' Experiences.” Journal of Palliative Medicine 17, no. 3 (2014): 296–303.Le Goff, Jacques. The Birth of Purgatory. Translated by Arthur Goldhammer. University of Chicago Press, 1984.Moody, Raymond A. Life After Life. Mockingbird Books, 1975.Nahm, Michael, Bruce Greyson, Emily Williams Kelly, and Erlendur Haraldsson. “Terminal Lucidity: A Review and a Case Collection.” Archives of Gerontology and Geriatrics 55, no. 1 (2012): 138–142.Nelson, Kevin R., Michelle Mattingly, Sherman A. Lee, and Frederick A. Schmitt. “Does the Arousal System Contribute to Near Death Experience?” Neurology 66, no. 7 (2006): 1003–1009.Obayashi, Hiroshi, ed. Death and Afterlife: Perspectives of World Religions. Greenwood Press, 1992.Osis, Karlis, and Erlendur Haraldsson. At the Hour of Death. Avon, 1977.Parnia, Sam, et al. “AWAreness during REsuscitation—II: A Multi-Center Study of Consciousness and Awareness in Cardiac Arrest.” Resuscitation 191 (2023).Plato. Phaedo. In Plato: Complete Works. Edited by John M. Cooper. Hackett, 1997.Segal, Alan F. Life After Death: A History of the Afterlife in Western Religion. Doubleday, 2004.Stevenson, Ian. Children Who Remember Previous Lives: A Question of Reincarnation. Rev. ed. McFarland, 2001.Taylor, John H., ed. Journey through the Afterlife: Ancient Egyptian Book of the Dead. Harvard University Press / British Museum Press, 2010.Tucker, Jim B. Life Before Life: A Scientific Investigation of Children's Memories of Previous Lives. St. Martin's Press, 2005.van Gennep, Arnold. The Rites of Passage. Translated by Monika B. Vizedom and Gabrielle L. Caffee. University of Chicago Press, 1960.van Lommel, Pim, Ruud van Wees, Vincent Meyers, and Ingrid Elfferich. “Near-Death Experience in Survivors of Cardiac Arrest: A Prospective Study in the Netherlands.” The Lancet 358, no. 9298 (2001): 2039–2045.Xu, Gang, et al. “Surge of Neurophysiological Coupling and Connectivity of Gamma Oscillations in the Dying Human Brain.” Proceedings of the National Academy of Sciences 120, no. 19 (2023).Also want to remind people about the website, if you're into reading we have tons of information by multiple contributors, and we got t-shirts up on the site if you're interested. Fun fact, the art is all based on the eyeball. 

Joaquin Malavet, Senior Advisor at APTelecom with decades of leadership and deep experience across the Indo-Pacific & Alex Chace, Vice President of Global Government Affairs … Read more The post Powering the AI Era: The Connectivity That Makes It Possible appeared first on Top Entrepreneurs Podcast | Enterprise Podcast Network.

Today's HeadlinesStrikes expose goals of Iranian regime and a people longing for breakthroughInternet restoration brings renewed connection and hope for isolated believers in IranA “trust but verify” generation looks beyond the screen for truth

Ben Edmond is the Founder and CEO of Connectbase, a company that helps telecom, cable, and managed service providers buy and sell network services more efficiently through a digital platform. Under his leadership, Connectbase powers over 4 million quotes each month and serves nearly every major operator across North America and Europe. Prior to Connectbase, Ben served as CRO at Global Capacity, where he led the company's customer go-to-market strategy and execution. With over 25 years in telecom, fiber, and networking, he is known for modernizing connectivity commerce and reducing transaction friction. In this episode… The connectivity industry depends on thousands of providers, yet transactions are still slowed by manual processes, disconnected systems, and limited visibility. As demand for faster connectivity grows, how can businesses better match supply and demand in real time? Ben Edmond, a telecom industry veteran and entrepreneur, shares that the key to reducing friction is digitizing how connectivity services are bought and sold. He explains that bringing real-time data, automation, and visibility into the process enables providers to make faster, more accurate decisions. By aggregating information across thousands of network operators, his platform removes long-standing inefficiencies in how connectivity is sourced and delivered. The result is a more connected ecosystem where buyers and sellers can transact with greater speed, confidence, and efficiency. Drawing from decades in the telecom industry, he also emphasizes the importance of solving deep operational pain points to drive meaningful innovation. In this episode of the Inspired Insider Podcast, host Dr. Jeremy Weisz sits down with Ben Edmond, Founder and CEO of Connectbase, to discuss how digital innovation is transforming the connectivity industry. They explore building a platform that streamlines network transactions, lessons from bootstrapping and scaling a tech company, and how AI is improving operational efficiency. Ben also shares insights on industry relationships, conferences, and ecosystem collaboration.

Several mainland airlines recently resumed direct flight routes to the Taiwan region, including Taichung-Chengdu, and the Taichung-Qingdao line that will start running later this month.

Welcome to the month of Connectivity!!!!!This session unpacked the power of connection and the divine formula for manifestation. Using Joseph as a blueprint, Pastor Kaira revealed that dreaming was his manifestation formula—and that your gift, once skilled, has the capacity to feed a nation. Even in prison, Joseph remained a national asset; the difference between exposure and obscurity often comes down to the right connection

Upbit's next move: from Korea's #1 to global contender. SeonJoo Yoon, Chief Brand & Impact Officer at Upbit, joins CoinDesk's Sam Ewen to break down why Korea is one of the most fascinating crypto markets on the planet and how Upbit, the country's dominant exchange with 13 million KYC'd users and $1.5 trillion in cumulative trading volume, is now setting its sights far beyond its home turf. - Timecodes: 00:00 - Upbit's SJ Yoon Joins CoinDesk's Spotlight 01:50 - SJ's Early Career Path 05:35 - What Led SJ Yoon Into Web3 and Crypto 14:17 - Korean Tech Culture: Adoption, Connectivity, and Retail Trading Appetite 20:19 - Upbit's Stablecoin Project and Why Stablecoins Matter in Korea's Mobile-First Economy 23:58 - AI-Era payments, CBDC vs. Stablecoin Debate, and Upbit's Layer 2 (with Optimism) 26:03 - Bridging Korean Users to Global Institutions 28:51 - GIWA Web3 Infrastructure, AI Agent Wallets, GASOK accelerator 30:29 - Upbit's Global Expansion 32:52 - Korea's Regulatory Landscape and the Digital Asset Act 34:42 - Upbit's Presence at Korea Blockchain Week - This episode is brought to you by RealFi, a smarter stablecoin, backed by real-world assets. Find out more at realfi.co. - Ledn provides a secure and transparent way to access liquidity while maintaining your bitcoin holdings. Perfect 8 year track record of keeping clients assets safe. Don't sell your bitcoin. Get a bitcoin-backed loan. Check out your rate by using their loan calculator at ledn.io - JPEG Trading is a global proprietary trading firm specializing in cryptocurrency and decentralized finance markets. From market structure and liquidity provision to quantitative trading strategies, JPEG Trading operates across the full spectrum of blockchain-based assets. Follow @jpegtrading on X to stay ahead of the latest developments in digital asset markets: https://x.com/jpegtrading - "Spotlight" features host Sam Ewen.

Plus: Samsung Electronics and SK Hynix plan to invest $520 billion in a new chip-making hub in South Korea. And Rocket Lab to buy Iridium Communications in a challenge to SpaceX. Julie Chang hosts. Learn more about your ad choices. Visit megaphone.fm/adchoices

For nearly 160 years, the International Telecommunication Union has helped the world communicate across borders, from the telegraph to the telephone, television, satellite, the internet, and now AI. In this episode of Tools and Weapons, Brad Smith sits down with Doreen Bogdan, Secretary-General of the ITU, to discuss why connectivity remains one of the world's most important foundations for opportunity. The conversation explores the 2.2 billion people who are still unconnected, the estimated $2.8 trillion needed to connect the world by 2030, and the partnerships required to reach the hardest-to-connect communities. Doreen shares stories from the field, including a refugee camp in Chad where a small computer center gives people access to learning, health care, financial tools, and family connections. Brad and Doreen also discuss the rise of AI for Good, the challenge of scaling solutions that address real-world needs, and the role of global cooperation in shaping responsible AI governance. From early warning systems that can help save lives during natural disasters to digital skilling and infrastructure investment, this episode examines how technology can create opportunity when access, trust, and partnership come together. Listen to the full episode and join the conversation about building a more connected and inclusive digital future.

 David Holm, Principal at Cox Architecture has a career spanning major transport and civic infrastructure—from international airports like the new Western Sydney airport and Changi airport in Singapore to urban masterplans and public spaces—David's work sits at the intersection of connectivity, culture, and placemaking. He's also a passionate advocate for drawing as a design tool and has contributed widely to architectural discourse and education.His ideas on the intersection of connectivity, culture, and placemaking are a breath of fresh air for Australia's infrastructure sector.

Cathy, Kerri, and Marlene visit with special guest Eden Gordon Hill, author and media specialist. In this episode of LoveTalk Network, the discussion centers around the legacy left by our country's Founding Fathers and the dining room table. Eden's recent commentary in "The Washington Stand" stated that "General George Washington's leadership helped shape a nation founded on sacrifice, conviction, and trust in God." Eden points out that our nation's link with Washington's legacy and faith was once strong, because we gathered as family and friends around the dining room table. There, legacy and Godly values were discussed and reinforced. Today, technology has created a culture of isolation which is "crumbling" connections and spiritual emphasis in homes across America. Eden challenges listeners to put down the technology and return to the dining room table.

Long before the Florida Wildlife Corridor became a statewide movement, it began as a scientific question: How do we conserve wildlife in one of the fastest-growing states in America?In this episode, Mason and Zach sit down with two of the most influential conservation scientists in Florida history, Dr. Thomas Hoctor and Dr. Reed Noss, to explore the origins, evolution, and future of the Florida Wildlife Corridor. Together, they trace the roots of corridor science from the emerging fields of conservation biology and landscape ecology in the 1970s and 1980s to the development of the Florida Ecological Greenways Network (FEGN), the scientific foundation of today's Florida Wildlife Corridor. The conversation examines how ideas from island biogeography, regional planning, road ecology, and wildlife connectivity shaped a vision that ultimately influenced conservation efforts far beyond Florida.Tom and Reed discuss the mentors, thinkers, and movements that inspired their work, including Larry Harris, and the emergence of conservation biology as a discipline. They also reflect on how Florida's approach to large landscape conservation helped inspire connectivity initiatives around the world, from Yellowstone to Yukon to wildlife corridor efforts in Bhutan and beyond.The episode also celebrates the release of their new book, Regional Landscape Conservation Planning: Wildlife, Connectivity, and the Florida Model, which chronicles decades of science, planning, policy, and partnerships that helped shape one of North America's most ambitious conservation networks. The book explores how Florida combined scientific research, land acquisition programs, growth planning, and public engagement to create a model for regional conservation in the 21st century.Whether you're a conservation professional, student, landowner, or simply someone who cares about the future of wild Florida, this episode offers a rare opportunity to hear directly from two of the architects behind the science that continues to guide conservation across the state.Dr. Thomas HoctorDirector of the Center for Landscape Conservation Planning at the University of Florida, architect of the Florida Ecological Greenways Network, and co-founder of the Florida Wildlife Corridor. Tom has spent decades developing spatial conservation planning tools that guide land protection efforts throughout Florida.Dr. Reed NossOne of the world's leading conservation biologists and a pioneer in landscape-scale conservation. Reed's research on habitat fragmentation, biodiversity conservation, and ecological connectivity helped establish many of the scientific principles that underpin modern wildlife corridor planning.Buy their new book!Regional Landscape Conservation Planning: Wildlife, Connectivity, and the Florida ModelResources mentioned in the episode:The History of Florida Wildlife Corridor Science and Planning EffortsThe Fragmented Forest by Larry HarrisBenton MacKaye's 1921 proposal for the Appalachian TrailRichard Forman's foundational work in landscape ecologyMichael Soulé and the emergence of conservation biologyOrlando Sentinel story about wildlife Corridors - 19841000 Friends of Florida Greenways ProgramYellowstone to Yukon Conservation InitiativeEPA's National Ecological FrameworkBhutan Biological Corridors ProgramCalifornia Essential Habitat Connectivity ProjectForgotten Grasslands of the South: Natural History and Conservation by Reed Noss & E.O. Wilson

Radhika Das, IFN Journalist, interviews Zishan Iqbal, Manager for Asia Region in the Business Development Department at the Islamic Corporation for the Insurance of Investment and Export Credit, on trade and investment opportunities in Asia, risk mitigation and strengthening connectivity between Asian and OIC markets

Mailing checks to pay off a credit card in 2026 sounds like a joke, but it is still a real debt consolidation workflow at scale. Greg Myers sits down with Jose Bethancourt, Co-Founder and CEO of Method, to unpack why liability payments are uniquely messy and what it takes to make them feel as seamless as modern fintech promises.Jose shares his path from growing up in South Texas near the Mexico border to building products at UT Austin, then turning a personal problem into a company. GradJoy started as a way to help new graduates understand student loan debt, interest rates, and payoff strategies, but it quickly revealed a deeper issue: people often cannot even locate their liabilities, and credential-based financial data access is brittle. Method tackles that with an identity-based financial connectivity API that, with consent, can find student loans, credit cards, mortgages, auto loans, and personal loans, then enable two-way flows that support both reading data and sending payments to creditors.We also get into what this unlocks for underwriting, personalization, and better customer outcomes, plus how it can reduce errors and fraud compared to manual PAN entry and back-office check operations. Jose lays out a forward-looking view of AI in payments, agentic payments, and a world where an AI agent can securely analyze your debt, shop for a better APR, and execute payoffs. Finally, we step back to discuss consumer demand for speed, why ACH still shapes reality, and how RTP and FedNow may push expectations even further.

2026 Summer Appetizer Auction Day One Sponsored by Blind Information Technology Solutions (BITS) Opens Thursday, July 9 at 12:00 noon ET Closes Friday, July 10 at 12:00 noon ET Opening Bids Included Appetizer Auction Rules and Information: Contact Leslie Spoone at 407 929-9837 or 407 227-4489 or email lesliespoone@cfl.rr.com with your bid. Please provide your name, phone number, email, item number and bid amount. Bids must be in $5.00 increments. • Leslie will send out Appetizer Auction information communicating the high bid on each item at 5:00pm ET, 8:00pm ET and 9:00am ET each day. After the close of each mini auction, an email will be sent announcing who has won each item. Billing for both the appetizer and Convention auction will take place starting on Wednesday, July 15, 2026, for all the winning purchases. Billing for auction items will be paused during the convention and resume on August 5, 2026. The auction items need to be paid for by August 14, 2026. ACB Auction Disclaimer The American Council of the Blind conducts fundraising auctions to provide financial support for our programs and services. We thank those individuals, organizations, and businesses who donate items for our auctions. We make every effort to ship purchased items in a timely manner. However, due to various circumstances beyond our control, it may not be possible for items to be shipped or to arrive by a specific date. To participate as a bidder, we ask that you be courteous to one another, to those who are conducting the auction and to those who will be contacting the winning bidders to arrange for payment. It is expected that any winning bidder will, after being contacted by anyone connected to the auction, provide proper billing information prior to the auction item being sent to them. If we are unable to collect the bid amount, we reserve the right to repurpose the item for the benefit of ACB. Any individual who does not comply with these rules will be prohibited from continuing to bid in this auction and may be prohibited from participating in any future auction. Day One 300 Victor Reader Stream 3 Donated by HumanWare Opening Bid $350 Enjoy having this handheld pocket-sized digital media audio player to harness the power of wireless content access that features a fully tactile interface. The Victor Reader Stream 3 is a handheld digital audio player to enjoy your media content, and this assistive device lets you listen to books, newspapers, web radio, music, podcasts, and other online resources. This is simple to use for anyone who is blind or living with a visual impairment, the Stream talking book player packs all your media into place and gives 15 hours of battery life, leaving more time to enjoy media content. 301 Movie Extravaganza Package Donated by ACB Associate Director of Development Jo Lynn Bailey-Page Opening Bid $30 Enjoy using this $50 Regal Cinemas gift card to watch the latest audio-described movies with some friends or family. Plus, that's not all, enjoy some goodies to go along with your movie! 302 Upcycled Ladybug Purse Donated by Keri Bishop of Tucson, AZ Opening Bid $30 This one-of-a-kind handbag transforms a pair of burgundy jeans into a stylish and functional accessory which is crafted with creativity and purpose. The upper portion of the jeans has been thoughtfully repurposed, preserving the original pockets that are perfect for convenient, built-in storage. A cheerful yellow accent fabric, adorned with playful ladybugs and delicate flowers, adds a bright pop of personality. The same fabric lines the interior, creating a cohesive and charming design inside and out. The adjustable strap is cut from the denim legs and allows for versatile wear. You can comfortably wear it over the shoulder or as a crossbody for hands-free ease. It has snap closures at the top to keep your belongings secure while maintaining easy access. This upcycled purse is a celebration of sustainability, craftsmanship, and whimsical style. perfect for anyone who loves unique, eco-friendly fashion and is practical and eye-catching. 303 Pampered Chef Stainless Steel Toaster Donated by Christina Brino Opening Bid $25 Our 4-slice stainless steel toaster is built for busy days, with extra-long, extra-wide slots that welcome everything from artisanal loaves to bagels, English muffins to Texas toast. Seven browning settings put you in control, so every slice comes out just the way you like it. Our bonus warming rack keeps buns and rolls perfectly toasty, cafe-style, without over-browning. Four smart functions put you in control: Bagel, Defrost, Reheat, and Cancel. Whether your bread is fresh, frozen, or already toasted, it comes out just right. Defrost takes bread and waffles from frosty to golden in one step while Reheat warms cooled toast without extra browning. This toaster has built-in cord storage that keeps counters tidy and a removable crumb tray allows for easy cleanup, and a high-lift lever ensures safe, easy removal making this toaster ready for weekday breakfasts, weekend brunches, and busy dinnertimes. 304 Two Dozen Dreamy Chocolate Chip Cookies Donated by Jack Pinnock, Owner Dreamie Cookies Opening Bid $40 These cookies were a huge hit in the ACB Holiday Auction. Enjoy the individually wrapped yummy chocolate chip cookies with your favorite beverage. Wow, they will melt in your mouth. You can share them with friends or just keep them for yourself! 305 Silver and Red Garnet Necklace and Earring Set Donated by Claudia Aff Opening Bid $25 You will look stunning in this beautiful 30-inch necklace of acrylic garnet red and filigree silver beads with matching hoop earrings. This will dress up any outfit! 306 Handmade Lap Blanket Donated by Nancy Mareno Opening Bid $25 Enjoy snuggling up with this beautiful handmade lap blanket which measures 33 inches by 29 inches. This blanket has 3 shades of pink with interspersed white. A great blanket for those cold nights! 307 Echo Spot Donated by Leslie Spoone Opening Bid $30 Enjoy this Echo Spot with a sleek smart alarm clock with Alexa and big vibrant sound. This spot will be great for you to wake up, wind down and so much more. You can personalize your display with your favorite clock face and fun colors. Just ask Alexa to play music, podcasts, and audiobooks. Ease into the day and set up an Alexa routine that gently wakes you with music and gradual light. You can also glance at the time, check reminders, or ask Alexa for weather updates. 308 $50 Amazon Gift Card Donated by Friends in Art Opening Bid $30 It is time to treat yourself to something special and here's a gift card to help you do it. $50 in spending at Amazon! 309 Cook with Confidence Using Cookie Voice Recipes Donated by Daria Axelrod Marmer Opening Bid $25 Designed specifically for blind and low vision cooks, Cookie Voice Recipes is a fully accessible, voice-controlled cooking app that provides hands-free, step-by-step recipe guidance. Ask questions while you cook, set timers, get ingredient substitutions, and even import your own recipes. This package includes a one-year Premium Subscription, providing unlimited access to voice-guided cooking, AI cooking assistance, and recipe importing features. Must be redeemed by December 2, 2026. 310 Handmade Framed Decoupage Canvasses of Colorful Collages Donated by ACB Director of Advocacy and Governmental Affairs Claire Stanley Opening Bid $25 This piece of art measures 12 by 16 inches. It is framed in a light blue picture frame. The decoupage style of art includes various sizes of ovals layered on top of each other in various tones of blue, yellow, and green. The piece is covered with a final layer of gloss. What a great conversational piece! 311 ModusTech 500GB Portable Donated by The Literacy Project Pat Tussing Director Opening Bid $25 The ModusTech external hard drive delivers lightning-fast transfer speeds of up to 5 Gbps with USB 3.0 technology. You can easily back up your files, transfer data, and store important documents. It's compatible with USB 2.0 and perfect for large files like HD movies, games, videos, and it has an ultra-Fast USB 3.0 Connectivity for Effortless Data Transfers. 312 $50 Darden Gift Card Donated by Cathy Spoone Opening Bid $30 Enjoy this gift card with someone special or just splurge on yourself and don't forget those scrumptious breadsticks! 313 Monet Jewelry Turtle Two Piece Jewelry Set Donated by Melissa Dubose Opening Bid $30 The two-piece jewelry set adds a playful yet polished touch to your accessories collection. This coordinated set includes a 17-inch rope chain necklace with a 2-inch extender and matching stud earrings, designed with glass accents for subtle shine. A lobster clasp closure ensures secure wear, while post-back earrings provide a comfortable fit. It's a great gift option for special occasions or everyday styling. 314 Logitech Wired Headset, Stereo Headphones with Noise-Cancelling Microphone Donated by Dan Spoone Opening Bid $25 These stereo headphones are black and have a noise-cancelling microphone, USB connection and In Line Controls. The PC headphones with plush, padded headband and ear cups provide optimum comfort. A rotating microphone minimizes background noise to provide noise-cancelling qualities resulting in clearer calls. 315 Tantalizing Homemade Candy Donated by Patty Slaby Opening Bid $40 This scrumptious homemade candy will make your get together with friends even sweeter! You can select one type of homemade candy or three different kinds. You will receive 60 pieces of candy in total from a selection of: peanut butter balls, chocolate covered potato chips, rum balls, dipped pretzels, bugles dipped in chocolate and many, many others. Patty will contact you for your selections and shipping will be determined by the weather. 316 Mary Kay Satin Hands Set Donated by Nancy Folsom Opening Bid $30 This 3-step process will leave your hands and feet feeling soft, smooth, and luxurious! The Satin Hands set softens, exfoliates, and moisturizes each time you use it. This set is great for guys and gals to help keep your hands healthy! You will love how great your hands feel! You can use it on your feet as well. 317 Fiery Dragon Print Black T shirt Donated by Blind Girl Designs Tricia Waechter Opening Bid $30 The red tactile print features the fierce head of a dragon in profile. Its jaws are open wide, exposing sharp, curved teeth as a stream of flames which pour outward. The fire is drawn with sweeping lines that curl and twist, giving a sense of movement and heat. The dragon's eye is narrow and intense, outlined with a strong stroke that adds a menacing expression. The dragon has a large horn on its snout and additionally, horns arc backward from its skull, and a row of large, jagged spines traces down the back of its neck. This t-shirt is 100% cotton, but do not size up because there is very little shrinkage when washed. Please wash inside out in cold wash and hang to dry or tumble for a few minutes to get the wrinkles out. These t-shirts come in sizes youth small through large, adult small through five XL, tall large through three XL. All sizes are unisex. The winner gets to pick their size! Enjoy your Blind Girl Designs! 318 Hand Carved Wooden Figurines Donated by DeAnna Quiet Water Noriega Opening Bid $25 Enjoy having these hand carved wooden figurines which include: a Buddha from Indonesia, a lion, a warthog, and a lioness all from Kenya. The giraffe is a soapstone also from Kenya. Wow, these will make a great conversational piece for your mantel! 319 Friday Morning Quotations Braille Book Donated by Dorlyn Catron Opening Bid $30 You will love reading the volume two Friday Morning Quotations Braille Book compiled by kay Wilson and published by The National Braille Press. Plus, enjoy a $50 Amazon card to splurge on yourself while you are reading and relaxing! 320 Chocolate Chip Bread Donated by Becky Hawkins Opening Bid $40 Indulge in this mouthwatering homemade chocolate chip bread. The bread is decadent and will melt in your mouth! What a fantastic treat to share with friends or family! 321 COSORI Air Fryer Pro Smart Donated by Carl Richardson Opening Bid $50 Enjoy this 5.8-quart air fryer which can roast and bake. The fryer has a 3-way control and a 12-in-1 customizable function. The basket is detachable, and it works with Alexa and Google Assistant. You can get online recipes. This would make a fantastic gift for the chef in your household! 322 $50 Gift Card to Walmart Donated by Arkansas Quazar Chapter Opening Bid $30 Enjoy this opportunity to fill your basket with treats for your family and friends. This $50 gift card could provide a chance for a special gift for yourself! 323 Black and Silver necklace Donated by Koni Sims, ACB Board Director Opening Bid $25 You will look stunning in 16-inch necklace featuring faux onyx and crystal beads. It has a 3-inch extender. Plus, enjoy the earrings which are 2 inches long. What a special gift to give to someone special! 324 Daniel Terrico Carved Puzzle Box Donated by Connie Jacomini Opening Bid $25 The Daniel Terrico puzzle box sports a hand carved shark motif on top. It is perfect for trinkets. There are instructions for use of this puzzle box enclosed. What a fantastic gift for your favorite fisherman! 325 Two Dozen Homemade Shortbread Cookies Donated by Deb Trevino and Delaware Council of the Blind and Visually Impaired Opening Bid $40 Enjoy two dozen fresh-baked mouth-watering authentic shortbread cookies guaranteed to explode on your palate with luscious buttery goodness. These are great with milk, hot chocolate, coffee, or your favorite tea. Next to Walker's, these are the best I've ever tasted. 326 Handcrafted Crocheted Bunny Donated by Keri Bishop of Tucson AZ Opening Bid $25 Enjoy this whimsical handcrafted crocheted bunny in a blue dress which is delightfully soft and lovingly handmade. This charming, crocheted bunny is a timeless keepsake and is perfect for all ages and is carefully crafted in a creamy ivory yarn. This sweet bunny features long floppy ears, gentle blue eyes and a soft pink nose that give it an irresistibly tender expression. The bunny is dressed in a beautifully textured, sky-blue crocheted dress with ruffled sleeves and a full, flowing skirt and this bunny exudes simple elegance. A delicate satin ribbon at the waist adds a graceful finishing touch, making it as lovely for display as it is for cuddling. Whether gifted to a child, displayed in a nursery, or cherished as a collectible, this one-of-a-kind bunny brings warmth, comfort, and handcrafted artistry. 327 Bangle Bracelets and Six Pairs Post Earrings Donated by Judy Okraski Opening Bid $25 You will look stunning with these multi metal bangle bracelets which are perfect to match any outfit. Plus, six sets of post earrings. All the earrings are colorful with single smooth surface colors that include: 2 Coral, 2 blue, green, and light pink. A fantastic gift for yourself or for someone special! 328 $50 Gift Card to the Blind Kitchen Donated by Debra Erickson, Executive Chef and Founder of The Blind Kitchen Opening Bid $30 Welcome to The Blind Kitchen where adaptive tools, helpful strategies, and specialized knowledge are provided to blind and vision-impaired people who want to cook safely, confidently, and independently. Debra Erickson is the Executive Chef and Founder of The Blind Kitchen where she will help you enjoy splurging on either yourself or someone special with this gift card and a 30-minute consult with Debra! 329 Three Handmade Hot Pads, Protein Fudge Recipe and Amazon Gift Card Donated by Tonya Drew of Essentially Braille Opening Bid $30 Enjoy the three brown cotton magic square potholders which come in large, medium, and small. As a special treat, enjoy making a delicious protein fudge recipe for yourself or friends and family. The recipe is written in Braille on Perma Braille cards to fit in your recipe box. Also, dine or shop with a $50 Amazon gift card. 330 $100 See's Candy E Gift Card Donated by Brad and Kathy Snyder Opening Bid $60 Enjoy splurging either on yourself or friends or family with this $100 E card for See's Candy. The brand is known for its premium chocolates, truffles, brittles, and other candies. They are very yummy! 331 ACB Students Common Ground Sweatshirt Donated by Blind Girl Designs Tricia Waechter Opening Bid $30 This print features a bold, symbolic Tree of Life design in a cool teal-green tactile ink. At the heart of the artwork is a circular Celtic-style tree with flowing, interwoven branches and roots that mirror one another. The canopy forms an elegant, rounded crown, while the roots weave into intricate knot- work, visually reinforcing the message of connection and shared foundation. Arched above the tree are the words: “COMMON GROUND,” And below that is printed “common ground” in grade 1 tactile braille. Curved below the roots are the words: “DIFFERENT ROOTS” And just above these words is “different roots “in grade one tactile braille. Surrounding the circular tree design is a subtle square frame made of different style of white canes, positioned along the top, bottom, and sides. The canes form a balanced border, reinforcing themes of accessibility and inclusion. On the back, printed horizontally in the same teal ink, is the phrase “Growing towards a bright future” in a fun cursive font with grade one tactile Braille underneath it. The overall design communicates unity, diversity, inclusion, and shared humanity. Different roots, but common ground presented in a clean, high-contrast layout that stands out beautifully against the rich colored background. This cozy heavyweight crewneck sweatshirt has banded sleeves and bottom. It is made from cotton poly and will not shrink. It should be washed inside out to protect the ink and make sure it's inside out before you feel free to put it in a hot tumble dryer in order to make it nice and fluffy! These sweatshirts come in unisex sizing, youth, small through large, adult small through 5-XL, tall large through 3-XL. The winner can pick their own size! Enjoy your Blind Girl Designs! 332 Necklace and Bracelet Jewelry Set Donated by Charlotte Lang Opening Bid $25 This dainty set is classic and sparkly in black and white. Most of the set is made up of 4-millimeter faceted black spinel beads. In the center of the necklace and bracelet is a 10 millimeter round white pearl. The necklace is 18 inches long and the bracelet is 7-1/2 inches long. Both have 2-inch adjuster chains and close with lobster claw clasps. 333 Waterford Crystal Marcella Vase Donated by Connie Jacomini Opening Bid $25 The Waterford Crystal Marcella Vase is a 6-inch, high-quality, clear lead crystal vase known for its elegant design, often featuring intricate fan and wedge cuts. Typically produced in the 2010s, this hand-cut footed vase is celebrated for its clarity, weight, and ability to catch light. 334 Singing Lesson Donated by Carole Brewer Opening Bid $25 You will enjoy spending one hour on ZOOM with singer and recording artist, Carole Brewer. Learn some of Carole's many concert-tested recipes for better breathing, tone quality, and confidence building. You will receive a free copy of Carole's voice manual titled 'Cookin' Up a Song ' and explore the possibility of taking your singing up to the next level. All great singing starts here, and you can contact Carole to set up a lesson time at info@carolebrewer.com. 335 Homemade Caramel Brownies Donated by Judy Okraski Opening Bid $40 These scrumptious homemade caramel brownies come in an 8 by 11-inch pan. Pair with your favorite beverage and enjoy this delicious treat with your friends. 336 Set of Six Handknitted Dishcloths Made with love and donated by Rhonda Lang from Milwaukee, Wisconsin Opening Bid $30 Enjoy this set of six handknitted dishcloths in a variety of colors. They will bring craftsmanship and resilience to your kitchen. The dishcloths are meticulously crafted for durability and designed to manage daily cleaning tasks with ease and elegance. 337 $50 Ruth's Cris Gift Card Donated by The Literacy Project Pat Tussing Director Opening Bid $30 Enjoy splurging at convention with this Ruth's Cris gift card. You will love dining at this restaurant which offers a New Orleans-inspired menu, including seafood and signature sides and USDA Prime steaks in a sophisticated, romantic, and welcoming atmosphere. 338 Pink Macrame Apple Watch Band Donated by Keri Bishop of Tucson, AZ Opening Bid $25 This handcrafted macramé watch band is a vibrant, eye-catching accessory designed to fit Apple Watch models ranging from 38 mm through 42 mm. Made from durable 2 mm satin cord in a bright bubblegum pink, the band has a smooth, lustrous finish that adds a playful yet polished touch to any look. The design is accented with elegant ceramic beads, each hand-painted with delicate pink floral details on a clean white background. These beads provide a soft contrast to the bold pink cord, creating a charming and balanced aesthetic that highlights the handcrafted artistry of the piece. The functionality is built into the design with a fully adjustable button-and-loop closure, similar to a toggle clasp. The button side features two main cords that pass through and loop back, allowing the band to be easily lengthened or shortened. This adjustable construction ensures a comfortable, secure fit for a variety of wrist sizes while maintaining a neat and streamlined appearance and they are both stylish and practical. This macramé watch band offers a unique way to personalize your Apple Watch with a handmade accessory that combines durability, adjustability, and a cheerful pop of color. 339 Light Green Glass Bead Necklace and Earrings Donated by Claudia Aff Opening Bid $25 You will look stunning in this beautiful light green glass bead 10-1/2 inch necklace with 6 darker ceramic flower beads at the bottom. Also, matching flower bead hook earrings that measure 2 inches. What a perfect complement to that summer outfit! 340 Key West Goodies Donated by Dan Spoone Opening Bid $40 Enjoy two dozen yummy macadamia nut and chocolate chip cookies. You can either share them with a friend or just have all of them for yourself! 341 Vera Bradley Backpack Donated by Cecily Laney Nipper ACB Board Director Opening Bid $30 Want to go out in style? This slightly used Vera Bradley backpack is for you. Perfect for work or school, this 18-inch backpack with two side pockets for water or soda and two zipper pockets will comfortably hold a 16.5-inch laptop in its built-in laptop sleeve. The black background of the print sets off the vibrant pink, teal, and lime green floral print. 342 $50 Starbucks Gift Card Donated by Merrilee Hill-Kennedy Opening Bid $30 Everyone loves a good cup of coffee. It's even better with some friends or family members over some laughs! As an extra bonus, Starbucks has goodies to eat. Bid so you can enjoy all the delicious choices from a great coffee establishment. 343 Computers for the Blind Laptop Donated by Computers for the Blind Opening Bid $60 Computers for the Blind (CFTB) is dedicated to bridging the digital divide for the community of the Blind and Visually Impaired. We do this by providing affordable, accessible refurbished computers and training. The winner will receive our standard laptop which is a $250 value. The laptop includes Windows 11, 256GB SSD and 8GB RAM. To qualify for Software and Warranty, registration is required. A certificate will be included with the laptop which contains details about how to register. The winner must register within 30 days of receiving their computer. The certificate indicates the expiration date and redemption code for registration. You will receive 1-Year free license of JAWS, ZoomText, or Fusion, JAWS training and 1-Year Warranty. Contact us at service@computersfortheblind.org 344 3D “we hold these truths to be self-evident” Royal Blue T-shirt Donated by Blind Girl Designs Tricia Waechter Opening Bid $30 This classic Americana white puff ink tactile print combines bold 18th century typography with raised tactile braille. This is a very similar font that was used in the typed version of the Declaration of Independence. A circle of 13 large five-pointed stars frames the entire design, creating the look of an early American flag which was inspired by the spirit of 1776 and, of course, the 13 original colonies. At the top left and right corners of the print, the years “1776” and “2026” mark the 250-year anniversary of the United States. Beneath each year is a line of raised braille dots, adding a tactile reading element that complements the18th century fonts. Centered in the middle of the print, the famous and powerful phrase from the Declaration of Independence is stacked in dramatic vintage-style lettering “WE HOLD THESE TRUTHS TO BE SELF EVIDENT THAT ALL MEN ARE CREATED EQUAL.” Each section of text is paired with tactile braille underneath, allowing the message to be experienced both visually and through touch. The combination of distressed colonial inspired lettering and raised puff ink creates a striking and authentic dimensional effect. Below the main statement is a horizontal divider with a centered star, followed by the words: “UNITED STATES Of AMERICA.” Again, accompanied by tactile braille beneath the 18th century authentic wording the entire print is designed in clean white puff ink for a bold raised texture that stands out. The tactile surface gives the artwork depth, accessibility, and a handcrafted feel while maintaining a strong patriotic presentation. This T-shirt is 100% cotton, but do not size up because there is very little shrinkage when washed. You should wash inside out in cold wash and hang it to dry or tumble for a few minutes to get the wrinkles out. These t-shirts come in sizes youth small through large, adult small through five XL, tall large through three XL. All sizes are unisex and the winner gets to pick their own size. Enjoy celebrating our 250th anniversary with your Blind Girl Designs!!!! 345 Homemade Triple Play Oversized Cookies Donated by Brian Charlson Opening Bid $40 Here we go again; it's time for Brian's triple play oversized cookies. Those who have won this item in the past will attest to the flavor, size, and overall quality of this perennial auction favorite. You can choose one dozen from either classic chocolate chip, oatmeal raisin, or peanut butter. They are packaged individually. Feel free to offer them up as additions to gift baskets or pop them in the freezer to savor them over a few months or weeks. 346 $25 Panera Gift Card and $25 Dunkin Doughnuts Gift Card Donated by Diane Scalzi and Leslie Spoone Opening Bid $30 Enjoy or share delicious soups, sandwiches, salads, and baked goods with a $25 gift card from Panera Bread. Also included is a $25 Dunkin Doughnuts gift card to enjoy with friends or family. Cards are available as electronic or physical, your choice. 347 Embroidered Apron Donated by Terry Keyson of Braille Wear Opening Bid $25 Protect your clothing while you cook by wearing this lovely knee-length maroon apron with two front pockets. It has customized embroidery that is both visual and tactile. The embroidered wording on the front of the apron in print and braille is “Serving Up 20 Years “. Wow, celebrate the auction turning 20 years with this apron and your chef will look fantastic! 348 $75 Amazon E Gift Card Donated by Blue Grass Council of the Blind Opening Bid $40 Seventy-five dollars, ready to send by email or text, It's yours in the end. A click and a smile, a gift in a flash for someone you love or your own little splash. From BCB's heart to the auction fun, Bid with cheer and may you be the one. 349 Three hours of one-on-one personal happiness coaching along with Handwritten Booklets Donated by Darian Slayton Fleming of Embrace Happiness Opening Bid $25 The booklets are entitled: My AI: Affirmations and Intentions (this booklet has 31 suggested affirmations and 31 suggested intentions. Each section is followed by instructions about how to write your own affirmations and intentions and blank pages on which you can write your own affirmations and intentions. Also, My AI: Affirming and Intentional Self Care. This booklet describes the Happy for No Reason approach to designing your own happiness and practical exercises that will help you embody happiness through intentional self-care. You can enjoy these booklets in braille, large print, or standard print. Enjoy having this time with Darian Slayton Fleming who is a Certified Happiness Trainer and Licensed Clinical Social Worker. Darian will show you how to embrace happiness in these sessions. 350 Chocolate Peanut Butter Buckeyes Donated by Dan Spoone Opening Bid $40 Enjoy this 24-piece box of chocolate Peanut Butter Buckeyes. These are packed in our Ohio State Themed Buckeye box. What a yummy treat to either share with some friends or just keep them for yourself! Find out more at https://acb-convention.pinecast.co

Expereo: Enterprises Are Racing Into AI, But the Network Still Has to Carry the Load, Podcast, “AI is no longer a debate. Enterprises are already using it. The question now is whether the network is ready to support what comes next,” says Marek Wasilewski of Expereo @Doug Green “AI is no longer a debate. Enterprises are already using it. The question now is whether the network is ready to support what comes next,” says Marek Wasilewski of Expereo. In this Cisco Live 2026 podcast, Doug Green speaks with Marek Wasilewski of Expereo about the company's 2026 Enterprise Horizons report and what it reveals about enterprise AI adoption, network readiness and the growing pressure on global connectivity. This is one of several Cisco Live podcasts worth revisiting after the initial wave of show coverage. The conversation provides interesting insights into how AI is changing the network conversation for enterprises, service providers and channel partners. According to Expereo's research, 92% of enterprises are using AI in some form, while 30% are already using it extensively. At the same time, 70% are investing in AI without carefully measuring ROI. That combination creates both opportunity and risk: enterprises are moving quickly, but many are still building on networks that were not designed for the scale, performance and resilience demands of AI-driven operations. Expereo, a global Network-as-a-Service provider, helps enterprises simplify and manage connectivity across complex international environments. In the podcast, Wasilewski explains why AI success depends not only on models, applications and cloud platforms, but also on the underlying network that connects users, data, workloads and business locations. For channel partners, MSPs and enterprise technology leaders, the message is clear: AI is making the network strategic again. Connectivity is no longer just plumbing. It is becoming a core part of digital transformation, customer experience, automation and business continuity. The conversation also explores how enterprises can think more clearly about AI investment, how global connectivity strategies are changing, and why network visibility, flexibility and reliability will matter even more as AI moves from pilot projects into production environments. Learn more: expereo.com

If you enjoy this episode, we're sure you will enjoy more content like this on The Occult Rejects.  In fact, we have curated playlists on occult topics like grimoires, esoteric concepts and phenomena, occult history, analyzing true crime and cults with an occult lens, Para politics, and occultism in music. Whether you enjoy consuming your content visually or via audio, we've got you covered - and it will always be provided free of charge.  So, if you enjoy what we do and want to support our work of providing accessible, free content on various platforms, please consider making a donation to the links provided below.  Thank you and enjoy the episode!Links For The Occult Rejectshttps://linktr.ee/theoccultrejectsOccult Research Institutehttps://www.occultresearchinstitute.org/Substackhttps://substack.com/@theoccultrejects?r=7auau0&utm_campaign=profile&utm_medium=profile-pageCash Apphttps://cash.app/$theoccultrejectsVenmo@TheOccultRejectsBuy Me A Coffeebuymeacoffee.com/TheOccultRejectsPatreonhttps://www.patreon.com/TheOccultRejectsBiblioBernardi, Luciano, Peter Sleight, Gabriele Bandinelli, Simone Cencetti, Luciano Fattorini, Johanna Wdowczyc-Szulc, and Alfonso Lagi. “Effect of Rosary Prayer and Yoga Mantras on Autonomic Cardiovascular Rhythms: Comparative Study.” BMJ 323, no. 7327 (2001): 1446–1449.Benson, Herbert, John W. Lehmann, Mark S. Malhotra, Ralph F. Goldman, Jeffrey Hopkins, and Mark D. Epstein. “Body Temperature Changes During the Practice of g Tum-mo Yoga.” Nature 295 (1982): 234–236.Benson, Herbert, Mark S. Malhotra, Ralph F. Goldman, Gregory D. Jacobs, and Jeffrey Hopkins. “Three Case Reports of the Metabolic and Electroencephalographic Changes During Advanced Buddhist Meditation Techniques.” Behavioral Medicine 16, no. 2 (1990): 90–95.Bremer, Brandon, Lorenzo Wu, Zoran Josipovic, and colleagues. “Mindfulness Meditation Increases Default Mode, Salience, and Central Executive Network Connectivity.” Scientific Reports 12 (2022).Brewer, Judson A., Patrick D. Worhunsky, Jeremy R. Gray, Yi-Yuan Tang, Jochen Weber, and Hedy Kober. “Meditation Experience Is Associated with Differences in Default Mode Network Activity and Connectivity.” Proceedings of the National Academy of Sciences 108, no. 50 (2011): 20254–20259.Britton, Willoughby B. and colleagues. Research associated with the “Varieties of Contemplative Experience” project on meditation-related challenges, adverse effects, and safety considerations in contemplative practice.Crowley, Aleister. Liber E vel Exercitiorum sub figura IX. In the A∴A∴ training corpus. Relevant sections include asana, pranayama, and dharana as foundational magical exercises.Dennison, Paul. “Insights From an EEG Study of Buddhist Jhāna Meditation.” Frontiers in Human Neuroscience 13 (2019).Fialoke, Shantala, Helen Weng, and colleagues. “Functional Connectivity Changes in Meditators and Novices During Yoga Nidra Practice.” Scientific Reports 14 (2024).Fox, Kieran C. R., Savannah Nijeboer, Matthew L. Dixon, James L. Floman, Melissa Ellamil, Samuel P. Rumak, Peter Sedlmeier, and Kalina Christoff. “Is Meditation Associated with Altered Brain Structure? A Systematic Review and Meta-analysis of Morphometric Neuroimaging in Meditation Practitioners.” Neuroscience & Biobehavioral Reviews 43 (2014): 48–73.Hölzel, Britta K., James Carmody, Mark Vangel, Christina Congleton, Sita M. Yerramsetti, Tim Gard, and Sara W. Lazar. “Mindfulness Practice Leads to Increases in Regional Brain Gray Matter Density.” Psychiatry Research: Neuroimaging 191, no. 1 (2011): 36–43.Kozhevnikov, Maria, Olesya Louchakova, Zoran Josipovic, and Michael A. Motes. “The Enhancement of Visuospatial Processing Efficiency Through Buddhist Deity Meditation.” Psychological Science 20, no. 5 (2009): 645–653.Kozhevnikov, Maria, John A. Elliott, Jennifer Shephard, and Klaus Gramann. “Neurocognitive and Somatic Components of Temperature Increases During g-Tummo Meditation: Legend and Reality.” PLOS ONE 8, no. 3 (2013): e58244.Laukkonen, Ruben E., and Heleen A. Slagter. “From Many to (N)one: Meditation and the Plasticity of the Predictive Mind.” Neuroscience & Biobehavioral Reviews 128 (2021): 199–217.Lomas, Tim, Juan Carlos Ivtzan, and Itai K. Fu. “A Systematic Review of the Neurophysiology of Mindfulness on EEG Oscillations.” Neuroscience & Biobehavioral Reviews 57 (2015): 401–410.Lott, James P., Richard J. Davidson, John D. Dunne, Thupten Jinpa, Antoine Lutz, and colleagues. “No Detectable Electroencephalographic Activity After Clinical Declaration of Death Among Tibetan Buddhist Meditators in Apparent Tukdam.” Frontiers in Psychology 11 (2021): 599190.Lutz, Antoine, Lawrence L. Greischar, Nancy B. Rawlings, Matthieu Ricard, and Richard J. Davidson. “Long-term Meditators Self-induce High-amplitude Gamma Synchrony During Mental Practice.” Proceedings of the National Academy of Sciences 101, no. 46 (2004): 16369–16373.Lutz, Antoine, Julie Brefczynski-Lewis, Tom Johnstone, and Richard J. Davidson. “Regulation of the Neural Circuitry of Emotion by Compassion Meditation: Effects of Meditative Expertise.” PLoS ONE 3, no. 3 (2008): e1897.Matko, Karin, Peter Sedlmeier, and colleagues. “Adverse Effects of Meditation and Mindfulness in Clinical Practice.” 2025.Patanjali. Yoga Sutras. Especially Book III, traditionally describing dharana, dhyana, and samadhi.Riegner, Gretchen, Fadel Zeidan, and colleagues. “Disentangling Self from Pain: Mindfulness Meditation-Induced Pain Relief Is Driven by Thalamic-Default Mode Network Decoupling.” Pain 164, no. 2 (2023): 280–291.Tang, Yi-Yuan, Britta K. Hölzel, and Michael I. Posner. “The Neuroscience of Mindfulness Meditation.” Nature Reviews Neuroscience 16 (2015): 213–225.Vago, David R., and David A. Silbersweig. “Self-awareness, Self-regulation, and Self-transcendence: A Framework for Understanding the Neurobiological Mechanisms of Mindfulness.” Frontiers in Human Neuroscience 6 (2012): 296.Zeidan, Fadel, and colleagues. Research on mindfulness meditation, pain modulation, attention, and the neural mechanisms of pain relief.Slagter, Heleen A., Antoine Lutz, Lawrence L. Greischar, Andrew D. Francis, Sander Nieuwenhuis, James M. Davis, and Richard J. Davidson. “Mental Training Affects Distribution of Limited Brain Resources.” PLOS Biology 5, no. 6 (2007): e138. Use for: Attentional blink, limited attention, and meditation changing how the brain allocates resources.Hölzel, Britta K., James Carmody, Mark Vangel, Christina Congleton, Sita M. Yerramsetti, Tim Gard, and Sara W. Lazar. “Mindfulness Practice Leads to Increases in Regional Brain Gray Matter Density.” Psychiatry Research: Neuroimaging 191, no. 1 (2011): 36–43. Use for: Neuroplasticity, repeated practice leaving measurable marks on the brain, and the “practice writes itself into the practitioner” idea.Laukkonen, Ruben E., and Heleen A. Slagter. “From Many to (N)one: Meditation and the Plasticity of the Predictive Mind.” Neuroscience & Biobehavioral Reviews 128 (2021): 199–217. Use for: Predictive processing, the brain as a prediction machine, meditation loosening automatic models, and the “veil” argument.Lutz, Antoine, Julie Brefczynski-Lewis, Tom Johnstone, and Richard J. Davidson. “Regulation of the Neural Circuitry of Emotion by Compassion Meditation: Effects of Meditative Expertise.” PLOS ONE 3, no. 3 (2008): e1897. Use for: Compassion meditation, loving-kindness, emotional circuitry, and training compassion as a repeatable state rather than just a moral idea.Kok, Bethany E., Kimberly A. Coffey, Michael A. Cohn, Lahnna I. Catalino, Tanya Vacharkulksemsuk, Sara B. Algoe, Marc A. Brantley, and Barbara L. Fredrickson. “How Positive Emotions Build Physical Health: Perceived Positive Social Connections Account for the Upward Spiral Between Positive Emotions and Vagal Tone.” Psychological Science 24, no. 7 (2013): 1123–1132. Use for: Loving-kindness, social connection, vagal tone, and the cautious “social nervous system” bridge.Black, David S., and George M. Slavich. “Mindfulness Meditation and the Immune System: A Systematic Review of Randomized Controlled Trials.” Annals of the New York Academy of Sciences 1373, no. 1 (2016): 13–24. Use for: Immune-system caution, inflammation markers, cell-mediated immunity, biological aging, and why this material should be framed as tentative rather than miracle healing.Burić, Ivana, Miguel Farias, Jonathan Jong, Christopher Mee, and Inti A. Brazil. “What Is the Molecular Signature of Mind–Body Interventions? A Systematic Review of Gene Expression Changes Induced by Meditation and Related Practices.” Frontiers in Immunology 8 (2017): 670. Use for: Stress biology, inflammatory gene expression, NF-kB-related language, and the cautious claim that mind-body practices may affect biology below ordinary mood.Also want to remind people about the website, if you're into reading we have tons of information by multiple contributors, and we got t-shirts up on the site if you're interested. Fun fact, the art is all based on the eyeball. A

John Maytham speaks to Lindsey Schutters, journalist with Daily Maverick, about the airline industry's campaign to reduce aviation taxes and charges. Using insights gathered at an IATA briefing, they discuss the debate over passenger taxes, airline profitability, consumer rights and the role air connectivity plays in supporting economic growth, tourism and trade. Presenter John Maytham is an actor and author-turned-talk radio veteran and seasoned journalist. His show serves a round-up of local and international news coupled with the latest in business, sport, traffic and weather. The host’s eclectic interests mean the program often surprises the audience with intriguing book reviews and inspiring interviews profiling artists. A daily highlight is Rapid Fire, just after 5:30pm. CapeTalk fans call in, to stump the presenter with their general knowledge questions. Another firm favourite is the humorous Thursday crossing with award-winning journalist Rebecca Davis, called “Plan B”. Thank you for listening to a podcast from Afternoon Drive with John Maytham Listen live on Primedia+ weekdays from 15:00 and 18:00 (SA Time) to Afternoon Drive with John Maytham broadcast on CapeTalk https://buff.ly/NnFM3Nk For more from the show go to https://buff.ly/BSFy4Cn or find all the catch-up podcasts here https://buff.ly/n8nWt4x Subscribe to the CapeTalk Daily and Weekly Newsletters https://buff.ly/sbvVZD5 Follow us on social media: CapeTalk on Facebook: https://www.facebook.com/CapeTalk CapeTalk on TikTok: https://www.tiktok.com/@capetalk CapeTalk on Instagram: https://www.instagram.com/ CapeTalk on X: https://x.com/CapeTalk CapeTalk on YouTube: https://www.youtube.com/@CapeTalk567 See omnystudio.com/listener for privacy information.

Dr. Shannon Poach advises YOU on dating, relationships, emotional intelligence, and issues associated with underwhelming dating apps. Find out why TheRightOne.net is ultimately the optimal choice as a strategy to find the right, long term partner. The old, outdated swiping process, lacks personal assessment and taking inventory of your emotions and needs. TheRightOne.net helps you slow down, approaching dating with emotional compatibility....in communication, who you trust, regulation of self emotion, and increased your self awareness. Visit TheRightOne.net and learn more about yourself. Be open to the adventure. Become a supporter of this podcast: https://www.spreaker.com/podcast/success-made-to-last-legends--4302039/support.

He's been a prosecutor, a Yale Divinity School student, a policy advisor, a climate resilience expert, and has traveled the world studying how communities survive catastrophe. People have tried to recruit him to run for office. Instead, Andrew Doss takes the next step toward becoming an Episcopal priest. After spending years around law, politics, and power, why did he decide the questions he cared about most were spiritual ones?

In this episode of Data Driven, we're diving into the rapidly evolving world of agentic AI—where autonomous AI agents collaborate, communicate, and occasionally collide. Our guest, Vlad Luzin, co-founder and CTO of Band, joins us to explore the technical challenges and real-world implications of building collaboration layers for agents that act like distributed, non-deterministic microservices. We'll unpack the myths and realities surrounding orchestration, governance, and security, and discuss how enterprises can operationalize these agent ecosystems safely. Tune in as we share lessons learned, amusing engineering mishaps, and get a glimpse of what the future holds as agents become everyday colleagues in the digital enterprise.LinksVlad's LinkedIn Profile -https://www.linkedin.com/in/luzin/Watch this episode on YouTube -https://youtu.be/MZztFagEX_EBand Website -https://www.band.ai/Band Docs -https://docs.band.ai/Time Stamps00:00 Explaining orchestration in tech03:42 Understanding models and harnesses09:38 Misconceptions about A2A communication10:41 Understanding multi-agent systems16:18 Observability for distributed systems18:54 Agent communication and collaboration24:28 Unauthorized agent interactions25:49 Remote agent collaboration ideas28:54 How foundational AI models communicate33:20 Agent communication protocols overview35:39 Discussing tech standards and AI velocity40:53 Learning to Work with AI Agents42:41 Using Band AI tools

WSJM Afternoon News for 06-08-26See omnystudio.com/listener for privacy information.

When we talk about wireless connectivity, often what we're thinking about is WiFi, however mobile connectivity such as 5G is still important for many sectors.What happens to a business when mobile connectivity is inadequate or fails completely?On this episode of the ITPro Podcast Jane and Bobby are joined by Paul McHugh, VP of EMEA sales at Ericsson, to discuss how wireless connectivity issues can affect businesses.Sign up to the ITPro Newsletter for more content like this direct to your inbox every day.Three and Ericsson just launched a first-of-its-kind managed 5G service for businesses | IT ProePrivate 5G and partner ecosystems: The blueprint for intelligent infrastructure | ChannelPro

In this episode, host Paige Hookway speaks with Carmen Redondo, Director, Global Marketing Antennas, KYOCERA AVX Components. Carmen aims to answer the question 'How is NTN (Non-Terrestrial Network) reshaping connectivity?'. 

(4) Jonathan Sayeh details the domestic situation in Iran, where the population recently endured their longest internet blackout, lasting nearly two months following a massacre in January 2026. Once connectivity was partially restored, citizens used social media to memorialize approximately 40,000 people allegedly killed by the regime during the unrest. Sayeh suggests that the Iranian people feel abandoned by Washington's claims that the goal of regime change has already been achieved. Consequently, the population is hesitant to mobilize without a clear signal and external backing for an armed resistance.1511

Fiber Connect 2026 proved to be quite timely and significant at this point in the telecom industry with data center expansion booming, fiber builds ramping up with BEAD funding, and ongoing new tower construction.Doug Wittrock, Chief Operating Officer at Network Connex sat down with John Celentano, Inside Towers Business Editor at the event to share his perspectives and outlook on the opportunities and challenges with designing and building facilities across the range of digital infrastructure asset classes.Support the show

Dave Rubinstein, Editor in Chief of SD Times, discusses with Kumar Vikesh, Senior Product Owner at Progress Data Direct, the challenges of REST connectivity and the introduction of an AI-driven solution to automate the creation of model files for the Autonomous REST Connector. Progress Data Direct offers a standard connectivity platform with over 60 connectors and 100 data sources. The new AI-driven approach uses three agents: a generator, validator, and launcher, to create, validate, and test REST model files, reducing manual effort from days to hours. The solution is currently in an early access program, with plans for future general availability and integration with Visual Studio Code.

Unlock the secrets to building a future-proof smart home with the most comprehensive breakdown of connectivity options ever! Whether you're a beginner or looking to upgrade, discover how Wi-Fi, Thread, Zigbee, Z-Wave, and proprietary protocols each play a unique role—and how they can all coexist seamlessly. This episode unveils why Thread is gaining rapid adoption, how Matter is revolutionizing device interoperability, and why Wi-Fi isn't the only game in town anymore.Dive into this in-depth exploration as Jen Tooy from The Verge and Andrew O'Hara decode complex connectivity standards into simple choices — perfect for homeowners, DIY enthusiasts, and professionals alike. You'll discover how newer protocols like Thread are addressing scalability and reliability issues older standards like Zigbee and Z-Wave struggled with, especially in large homes or remote locations. Expect concrete examples, real-world troubleshooting tips, and insights into future tech like Wi-Fi 7 and PoE.From the impact of network congestion to the benefits of mesh and multi-protocol devices, you'll get the context needed to make smarter decisions for your home automation. They break down critical hardware like border routers, hubs, and smart locks, revealing which tech you truly need—and which one just sounds cool. Plus, learn about hidden gems such as proprietary solutions from Lutron, Insteon, and specialized protocols used for security and life safety.Why does this episode matter? As the smart home landscape becomes more crowded than ever, understanding these standards can save you money, headaches, and future-proof your setup. Don't get stuck with incompatible devices or outdated tech—arm yourself with the knowledge to pick the right protocols today.Whether you're designing a new build or upgrading your existing setup, this is your essential guide to mastering the complex web of smart home connectivity. Get ahead of the curve—listen now and turn chaos into a harmonious, connected home.Send me your smart home questions and recommendations with the hashtag #SmartHomeInsider. Tweet and follow your host at:@andrew_osu on Twitter@andrewohara941 on ThreadsEmail me hereSponsored by:Shopify: Sign up for a one-dollar-per-month trial period at shopify.com/homekit!NordStellar: Get an exclusive offer: Unlock your 10% discount on NordStellar with the coupon code: SMARTHOMEINSIDER10  - Just mention it to NordStellar!Smart Home Insider YouTube ChannelSubscribe to the Smart Home Insider YouTube Channel and watch our episodes every week! Click here to subscribe.Links from the showAqara U500 Smart LockBest Vacuum for Your HomeCoolfly Aura Bird FeederThose interested in sponsoring the show can reach out to us at: andrew@appleinsider.com

DOWNLOAD "BREAKING MY ALLEGIANCE" by Bernard Borghei on your favorite APP or go to:   ‎Breaking My Allegiance - Single - Album by Bernard Borghei - Apple Music Learn more about Bernard at: Bernard Borghei | LinkedIn Episode Highlights  From Tehran to Philadelphia: A Teenager's Escape from Revolution At just 12 years old, Bernard witnessed the Iranian Revolution up close. His family lost everything—their home, savings, and even his Star Wars toys were confiscated. By 13, he was fleeing across Europe, eventually finding asylum in the U.S. thanks to policy changes under the Reagan administration. The Immigrant's Fire: Why Hunger Beats Talent Bernard shares how working in pizza shops to pay for college while never attending a single basketball game or spring break fueled his relentless drive. His biggest fear? That his own children would have to experience the same survival mode he did. A Forgotten Iran: When Faith United, Not Divided Before the revolution, Iran was a secular, democratic society where Christians, Muslims, and Jewish Persians celebrated each other's holidays. Bernard recalls watching the Israeli national soccer team play in Tehran—proof that the region once thrived on coexistence. The Music That Saved Him (And the Record Exec Who Said No) Music was therapy for Bernard. He taught himself guitar on a left-handed Fender, wrote 22 songs, and almost got signed by Polygram—until an A&R guy told him, “I can't sell this face to the MTV generation.” Instead of giving up, he kept playing on weekends for decades. Breaking My Allegiance: A Song Against Weaponized Faith Bernard's first official single, releasing this Friday, is a rock anthem born from his experience with the Iranian regime. It's not against faith—it's against using religion to justify oppression. The song's message: *“If that's what your religion is, I'm breaking my allegiance.”* The Immigrant's Oath: Integrate, Follow Rules, Be Grateful Bernard offers a powerful perspective on immigration: he never hid his roots, but he worked tirelessly to learn English, pay taxes, and contribute. His advice to new immigrants? “If you want to chase a better life, respect what this country has to offer.” Show Notes 2:35

We bring together three leading experts to explore the state of broadband access in rural Pennsylvania and why it matters now more than ever. Featuring Zachary Adams (Center for Rural Pennsylvania), Jim Ladlee (Penn State), and Dr. Christopher Ali (Penn State), the conversation dives into how internet connectivity has evolved from a luxury to an essential service that underpins education, healthcare, business, and everyday life.In recognition of National Speech-Language-Hearing Month, this episode highlights the vital role of speech-language pathology and the life-changing impact of communication sciences and disorders. Guests from Marywood University—including students Bethany Burns and Cassandra “Cassie” Juliano, along with Associate Professor Andrea Novak—share insights into the field and the next generation of clinicians.

Neil Theise (thee-ss) is adjunct professor of pathology at the NYU Grossman School of Medicine. Through his scientific research, he has been a pioneer of adult stem cell plasticity and the anatomy of the human interstitium.  Dr. Theise's book, "Notes on Complexity: A Scientific Theory of Connection, Consciousness, and Being" calls on his studies in complexity theory to address topics such as consciousness studies and science-religion dialogue.  Recently his scientific understandings of integrative medicine have been highlighted in the New York Times, on The Telepathy Tapes, and soon in the documentary, "Phenomena Healing."  His next book, "Sarah in the In-Between", relating his mother's elder years' adventures in non-local consciousness will be published by Spiegel & Grau in 2027.  Neil's WebsiteNeil's Book: Notes On ComplexityMore on Interstitum:NY TimesRadiolabForthcoming:Phenomena Healing PodcastPhenomena Healing DocumentarySupport the show

In the engineering world, we rely on sensors to acquire data from real-world processes and machines. Deciding how to use that data is very important. The right decisions impact process efficiency, system reliability, and even worker safety.   Join Control.com's David Peterson as he chats with Kate Sokolnicki of Rockwell Automation in this episode of the Moore's Lobby podcast. Sokolnicki explains the evolution of industrial sensing and the shift toward data-driven manufacturing.  They discuss many key technological advancements, including: -IO-Link as a standard: Simple sensors are transitioning into "smart" devices that provide dual-channel feedback—process data and health analytics—without typical price premiums. -Commoditized vision AI: High-end vision systems are being replaced by affordable cameras capable of quality checks and AI-driven processing at the edge or in the cloud. -Smart safety protocols: Learn how operators can now pinpoint specific faults in a daisy-chained system (e.g., identifying exactly which door is ajar), significantly reducing troubleshooting time. Sokolnicki notes that while AI is powerful, it requires robust metadata (machine, shift, and location context) to be actionable. She highlights how condition monitoring—such as tracking "heartbeats," sensor margins, or cable tension—allows plants to move from reactive repairs to proactive maintenance. She concludes by encouraging young engineers to prioritize back-of-the-napkin math and the common-sense test. Instead of relying solely on theoretical calculations, she advocates for interrogating results to ensure they align with physical reality. Rockwell Automation is committed to enabling the next generation of smart manufacturing. Under their Allen-Bradley brand, Rockwell has a broad portfolio of high-performance sensors and switches. This includes proximity and photoelectric sensors, limit switches, safety switches, and RFID and operator safety devices.  Meet Kate Sokolnicki Kate Sokolnicki is the Global Business Director for Rockwell Automation's Sensing & Safety business unit and serves as the site lead for Rockwell's Chelmsford, MA location. She oversees product portfolio strategy and is responsible for global sales growth.  Kate joined Rockwell in 2015 as a product specialist and was promoted to portfolio manager supporting Sensing, Safety, and Connectivity. Most recently, she was a business manager responsible for in-cabinet infrastructure products, including single-pair Ethernet/IP.  Prior to joining Rockwell, Kate worked in the biomedical industry as an applications engineer. Kate holds a BSc in Chemical Engineering from the Massachusetts Institute of Technology and lives in Chelmsford, MA. 

Join Host Paul Spain and Bill Bennett, tech and telecommunications journalist, for a wide-ranging discussion on the latest tech news from New Zealand and beyond, including:Car-sharing startup Mevo goes into liquidationRural connectivity funding reportMobile Network Outages and ResiliencyHydrogen-fuelled vehicles in New ZealandChrome's Silent AI DownloadAI backlash at US university graduationsApple's privacy moves to auto-delete Siri/AI conversationsIntel Core Ultra Series 3A big thank you to our show partners One NZ, Spark, Workday, 2degrees, Fortinet and Gorilla Technology.

From a chance meeting on a plane to recording a podcast episode, this week Conrad interviews wildlife biologist Adam Hensley. Adam shares how a childhood love for fishing evolved into a career studying fish, insects, and entire ecosystems—highlighting the power of curiosity, asking questions, and embracing a non-linear path. From switching out of criminal justice to discovering aquatic ecology, his story shows how unexpected pivots can lead to meaningful work. The conversation explores Adam's graduate research in Alaska, where he studied Dolly Varden in extreme Arctic environments. With constant water temperatures but dramatic seasonal light changes, his work reveals how fish adapt to survive harsh winters—showing just how interconnected ecosystems truly are. Along the way, Adam shares unforgettable field experiences—from helicopter access to remote tundra streams to observing wildlife like wolverines and massive fish populations—bringing listeners into the reality of field-based science. The episode wraps with reflections on career growth, resilience through rejection, and the importance of staying open to opportunities. The biggest takeaway: everything is connected—whether in nature, science, or life—and following curiosity can lead you exactly where you're meant to be. #dollyvarden #arctic #salmonid #aquaticmacroinvertebrates #flyfishing Instagram:adamchensley Email: achensley@crimson.ua.edu Get in touch with us! The Fisheries Podcast is on Facebook, X, Instagram, Threads, and Bluesky: @FisheriesPod  Become a Patron of the show: https://www.patreon.com/FisheriesPodcast Buy podcast shirts, hoodies, stickers, and more: https://teespring.com/stores/the-fisheries-podcast-fan-shop Thanks as always to Andrew Gialanella for the fantastic intro/outro music. The Fisheries Podcast is a completely independent podcast, not affiliated with a larger organization or entity. Reference to any specific product or entity does not constitute an endorsement or recommendation by the podcast. The views expressed by guests are their own and their appearance on the program does not imply an endorsement of them or any entity they represent. Views and opinions expressed by the hosts are those of that individual and do not necessarily reflect the view of any entity with those individuals are affiliated in other capacities (such as employers).”  

This week on ‘The Write Question,' in anticipation of her tour in Montana (Missoula, Bozeman, and Livingston), and in anticipation of NPR's Climate Solutions Week, host Lauren Korn speaks with Hillary Rosner, author of ‘Roam: Wild Animals and the Race to Repair Our Fractured World' (Patagonia Books).

In this episode, David Edwards, Chief Technology Officer, Relatient, shares how improving connectivity is unlocking innovation, where AI is delivering measurable value today, and why voice AI is transforming patient access and operational efficiency. He also discusses responsible AI adoption in healthcare and the importance of aligning technology with real business problems.This episode is sponsored by Relatient.

Get the latest on smart home industry events, product updates, and new tech launches as Shane Whatley and Andrew discuss everything from the Connectivity Standards Alliance's upcoming public event, HomeBridge 2.0, to new Govee floor lamps and SwitchBot fans. Whether you're a casual enthusiast or a tinkering DIYer, this episode covers essential updates and practical insights to keep your smart home ahead.Main Topics:Upcoming Connectivity Standards Alliance event: What it means for smart home interoperabilityHomebridge v2.0: New features, Matter support, and use casesLatest on smart lighting: Govee Floor Lamp 3, Nanoleaf, and Hue optionsNew sensors and device updates: Aqara FP400 leak detector and W200 thermostat enhancementsReview and comparison of high-end smart speakers: Denon Home vs. Apple HomePodSwitchBot circulating fan: Connectivity, Matter support, and real-world application challengesSend me your smart home questions and recommendations with the hashtag #SmartHomeInsider. Tweet and follow your host at:@andrew_osu on Twitter@andrewohara941 on ThreadsEmail me hereSponsored by:CleanMyMac: Get Tidy Today! Try 7 days free and use my code SMARTHOME for 20% off at https://clnmy.com/SMARTHOME.Shopify: Sign up for a one-dollar-per-month trial period at shopify.com/homekitSmart Home Insider YouTube ChannelSubscribe to the Smart Home Insider YouTube Channel and watch our episodes every week! Click here to subscribe.Links from the showShane Whatley YouTubeCSA Unify 2026Homebridge 2.0Aqara W200 ThermostatGovee Floor Lamp 3Nanoleaf Floor LampSwitchBot Circulating Standing FanThose interested in sponsoring the show can reach out to us at: andrew@appleinsider.com

Dr. Richard Davidson, PhD, is a professor of psychology and psychiatry at the University of Wisconsin–Madison and a pioneer in the scientific study of meditation. We discuss how meditation changes your brain and body, how just 5 minutes daily can improve focus, stress resilience and your overall health, and we cover different types of meditation. We also address common myths such as the idea that meditation is to "clear your mind." And we discuss common challenges with meditation and how to overcome them. This episode offers both the science and the practical tools to build a consistent meditation practice to improve your mental and physical health and help you flourish. The episode show notes are available at hubermanlab.com. Thank you to our sponsors AG1: https://drinkag1.com/huberman David: https://davidprotein.com/huberman Eight Sleep: https://eightsleep.com/huberman Joovv: https://joovv.com/huberman Waking Up: https://wakingup.com/huberman Timestamps (00:00:00) Richard "Richie" Davidson (00:03:33) States of Mind vs Traits (00:09:06) Wakeful Brain Activity vs Deep Sleep (00:11:55) Sponsors: David & Eight Sleep (00:14:31) Brain Activity Across Sleep, Wakefulness, Meditation & Insight (00:19:27) Mediation & Sleep Compensation?; Meditation Timing & Liminal States (00:23:05) Types of Mediation, Shifting from Thinking to Being (00:28:32) Self-Monitoring, Undistracted Non-Mediation, "Stickiness" (00:35:30) Tool: Beginning Daily Meditation, "Richie's 5 Meditation"; Health Benefits (00:39:39) Meditation Practice History, Kindness & Nurturing Goodness (00:45:07) Sponsor: AG1 (00:46:31) Beginners, Expect Chaos in Mind, Exercise & Lactate Analogy (00:52:47) Tool: Beginning Mediation, Embrace Anxiety; Meta-Awareness, Flow (00:57:51) Creativity; Capturing Thoughts, Unconscious Mind (01:03:03) Meditation for Kids; Flourishing, Tool: Parent & Teacher Meditation (01:10:12) Sponsor: Joovv (01:11:34) Beyond Stimulus & Response (01:14:22) Meditation Need; Gaining Insight Into Mind, Transcendence (01:18:00) Contemplating Death, Long-Term Meditation (01:21:33) Richie's Meditation Practice; Tools: Pairing Meditation, Appreciation Practice (01:26:07) Consistency, Balancing Discipline vs Surrender (01:29:52) Social Media & Validating Existence, Digital Hygiene (01:37:31) Meditation & Impulsivity; Discipline & "No Go's", Phone (01:42:08) Physical Discomfort & Pain During Meditation; Retreat Practice (01:46:50) Phone Detox, Self-Control (01:52:07) Sponsor: Waking Up (01:53:29) Overcoming Resistance, Making Peace With Your Mind (01:58:37) Meditation & Connectivity; Consistency, Prayer; Sleepiness; Meta-Awareness (02:05:49) Tools: Pillars of Flourishing; Appreciation Practice, Loving-Kindness Practice (02:15:39) Awareness & Insight, Tools: Outside View; Task Connection (02:19:43) Cultivating Flourishing, Familiarity with Resistance (02:25:23) Psychedelics, Guides, Clinical vs Non-Clinical Use (02:32:15) Neuromodulation & Meditation, Sleep; Tool: Pre-Sleep Meditation (02:37:25) Open Monitoring Meditation & Creativity (02:41:12) Zero-Cost Support, YouTube, Spotify & Apple Follow, Reviews & Feedback, Sponsors, Protocols Book, Social Media, Neural Network Newsletter Disclaimer & Disclosures Learn more about your ad choices. Visit megaphone.fm/adchoices