Podcasts about Verge

In this episode, we analyze a classic bullish continuation setup as Nifty approaches the verge of an ascending triangle pattern breakout. Join Neel Parekh as he breaks down the significance of this chart pattern, key resistance levels to watch, and how to identify volume confirmation for a potential momentum rally. Tune in to stay ahead of the breakout and position your trades effectively.

In this episode, we analyze a classic bullish continuation setup as Nifty approaches the verge of an ascending triangle pattern breakout. Join Neel Parekh as he breaks down the significance of this chart pattern, key resistance levels to watch, and how to identify volume confirmation for a potential momentum rally. Tune in to stay ahead of the breakout and position your trades effectively.

In this episode, we analyze a classic bullish continuation setup as Nifty approaches the verge of an ascending triangle pattern breakout. Join Neel Parekh as he breaks down the significance of this chart pattern, key resistance levels to watch, and how to identify volume confirmation for a potential momentum rally. Tune in to stay ahead of the breakout and position your trades effectively.

It's a big week for new ideas about computers, so David and Nilay spend some time on Samsung's vision for foldables and Mark Zuckerberg's vision for AI agents that do absolutely everything. Then they talk about the fallout from last week's OpenAI Hugging Face hack, and whether all this talk about AI safety will actually amount to anything. Finally, it's time for Brendan Carr is a Dummy, the vertical video takeover, and the smashing success of the Ferrari Luce. Further reading: Samsung's Galaxy Z Fold 8 feels like the future Apple launches ‘Upgrade' program to lease new devices  What's the catch with the Apple Upgrade program? Mark Zuckerberg is planning a big push into personal AI agents Mark Zuckerberg wrote an op-ed about AI for the WSJ.  We're running out of reasons to ignore AI safety OpenAI reportedly didn't notice its AI agent hacking Hugging Face until a week later.  Nvidia, Microsoft launch open AI security alliance — without OpenAI, Google, or Anthropic OpenAI's rogue AI agent didn't stop at hacking Hugging Face  AI leaders sign a statement asking the government to do something about automated AI  Former FCC chairs blast Carr's early renewal of ABC licenses as an ‘assault on free speech.' ABC demands FCC drop its ‘punitive' early license renewal of its stations Qualcomm is raising phone chip prices starting September 1st The Ferrari Luce reportedly already hit its 2026 sales target  Samsung's smartphone biz posts first ever loss, but profit still soars 1,300 percent on RAM. Facebook considers giving up and becoming TikTok  YouTube Premium will include Peacock starting next year  HBO Max is putting on vertical shorts  Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed. We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. (Timestamps are approximate.) 00:00:00 Intro 00:03:00 Baby Announcement 00:06:00 Galaxy Z Fold 00:12:00 Apple Leasing Program 00:15:00 Kill Switch Concerns 00:19:00 Zuck Agent Future 00:34:00 AI Safety Week Recap 00:42:00 Regulation Versus China 00:49:00 Winning AI Race 00:53:00 Security Arms Race 00:57:00 Brendan Carr Is a Dummy 01:07:00 Facebook Becomes TikTok 01:12:00 Ramageddon Price Hikes 01:16:00 HBO Max Shorts 01:23:00 Ferrari Luce Buzz 01:26:00 Wrap Up and Plugs Learn more about your ad choices. Visit podcastchoices.com/adchoices

A história dos presidentes da Igreja Adventista não é assunto de organograma: é teologia visível. Esta aula abre o Módulo 5 de A Ordem e monta o método com que vamos atravessar 162 anos de presidências. Toda estrutura eclesiástica encarna uma doutrina de Deus. Um governo que concentra autoridade numa pessoa diz uma coisa sobre como Deus lidera; um governo que a distribui por um corpo diz outra. Nesta abertura eu apresento o aparato completo do módulo: nove pensadores (de Aristóteles a Voegelin) e o que cada um enxerga que os outros não enxergam; os dois modelos neotestamentários de liderança, o petrino e o paulino; a leitura APEST de Efésios 4 e a tese central desta série — o cargo executivo seleciona estruturalmente para pastor e mestre, e filtra para fora o profeta e o apóstolo, com patologias previsíveis; a distinção entre micromanagement paternalista e macromanagement equipador; e as quatro lentes (governo, eclesiologia, escatologia, missiologia) que vão governar os dezoito episódios biográficos. Também declaro o padrão de fontes do módulo: citação com obra, data e página; e o compromisso de dizer quando não consegui verificar. Numa denominação que argumenta por citação, verificar é ato de fidelidade. E adianto cinco padrões que a pesquisa revelou e que eu não esperava encontrar — inclusive o custo físico da liderança, que nenhuma tipologia registra. FONTES E REFERÊNCIAS CITADAS - WHITE, James. "Gospel Order" (série em quatro partes). Advent Review and Sabbath Herald, 6, 13, 20 e 27 de dezembro de 1853. - General Conference Bulletin, 1901 — atas da Sessão que criou as Uniões. documents.adventistarchives.org - WHITE, Ellen G. Testimonies to Ministers and Gospel Workers. Mountain View: Pacific Press, 1923. - Bíblia: Efésios 4:11-13; Apocalipse 18:1-4; Mateus 4:1-11 - ARISTÓTELES, Ética a Nicômaco, livro VI | HOBBES, Leviatã (1651) | LOCKE, Segundo Tratado (1689) | MONTESQUIEU, O Espírito das Leis (1748) | BURKE, Reflexões sobre a Revolução em França (1790) | TOCQUEVILLE, A Democracia na América (1835-1840) | MARX, Manuscritos econômico-filosóficos (1844) | WEBER, Economia e Sociedade (1922) | VOEGELIN, A Nova Ciência da Política (1952) - HIRSCH, Alan; CATCHIM, Tim. The Permanent Revolution. San Francisco: Jossey-Bass, 2012. - FERGUSON, Dave; HIRSCH, Alan. On the Verge. Grand Rapids: Zondervan, 2011. - MUSTARD, Andrew G. James White and SDA Organization, 1844-1881. Andrews University Press, 1987. - KNIGHT, George R. Organizing for Mission and Growth. Review and Herald, 2006. - Enciclopédia dos Adventistas do Sétimo Dia (ESDA) — encyclopedia.adventist.org #AOrdem #IgrejaAdventista #LiderançaCristã Links Instagram http://instagram.com/alexpalmeira7 Podcast Catalisadores http://open.spotify.com/show/6zJyD0vW8MnyRKPYZtk3B5?si=065e95b72bca4b13 X http://x.com/alexpalmeira9 Facebook http://facebook.com/profile.php?id=100069360678042

A new study from the Oversight Board found that leading AI systems are less likely to criticize authoritarian governments than democratic ones. It's a wild finding — but wait? Why is the Oversight Board studying systems from OpenAI and Anthropic in the first place? Suzanne Nossel, who sits on the board, joined us to discuss the findings and why the Oversight Board's future might involve looking at more than just Meta. Further reading: Zoox can now charge for rides in its steering-wheel-free robotaxis Spotify Running Mode helps match tunes to tempo Friend re-launches its AI pendant with a speaker that talks to you, for twice the price ⁠How Facebook undercut the Oversight Board⁠ Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed.We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Hey everyone, this is Nick Statt, senior producer on Decoder. We're taking a brief publishing break while Nilay is out on vacation. We'll resume regular programming next week, and we've got some great episodes in the works.  In the meantime, we wanted to share an episode from the excellent podcast The Gray Area, with host Sean Illing. In this one, Sean sat down with The Atlantic journalist Charlie Warzel to talk specifically about the state of the internet in 2026 — and what it means that it feels increasingly overrun by non-human actors.  Links:  The Gray Area with Sean Illing | Apple Podcasts Galaxy Brain | The Atlantic The internet is all bots now | The Gray Area (YouTube) The feeling of control slipping away | The Atlantic How much of the internet is fake? Turns out, a lot of it, actually| New York Magazine How bots took over our lives | The New Yorker The ‘dead internet theory' is real — and it's killing the web | Fast Company The fanfare around the band Geese actually was a psyop | Wired Credits: Decoder is a production of The Verge and part of the Vox Media Podcast Network. Decoder is produced by Kate Cox and Nick Statt and edited by Ursa Wright. Our editorial director is Kevin McShane.  The Decoder music is by Breakmaster Cylinder. Learn more about your ad choices. Visit podcastchoices.com/adchoices

The wide foldable is here, and it's glorious. The Verge's Dominic Preston has been reviewing Samsung's Galaxy Z Fold 8, and joins the show to explain what this shorter, wider device gets right, what it's still missing, and why this looks like the right kind of foldable for most people. (Once the price comes down, anyway.) With a similar foldable iPhone likely coming soon, it's shaping up to be a fun year of foldables. Further reading: OpenAI's rogue AI agent didn't stop at hacking Hugging Face | The Verge The US is banning foreign robots | The Verge DoorDash is going airborne with new drone delivery division Willie Nelson is pushing back against data centers in his hometown. Samsung's Galaxy Z Fold 8 feels like the future Huawei beats Samsung and Apple to market with the first wide foldable A wide foldable iPhone dummy emerges amid rumors of a delay So long, small phones Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed.We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. Learn more about your ad choices. Visit podcastchoices.com/adchoices

The team at Light has been working on minimalist phones for more than a decade. Its last device had a lot in common with a smartphone, but the newest model, the Light Flip, is something very different. Light CEO Kaiwei Tang explains why Light made a flip phone, how the world's opinion of smartphones is changing, and whether you can cure your tech problems with more tech. Further reading: ⁠Apple launches ‘Upgrade' program to lease new devices⁠ ⁠Apple's reported ‘HomePad' may launch as early as October⁠ ⁠X Money is launching in the US starting today⁠ ⁠The Light Flip is a minimalist flip phone with a point to prove⁠ ⁠Light Phone III review: everything in moderation⁠ ⁠The high hopes of the low-tech phone⁠ ⁠There's no perfect minimalist phone — yet⁠ ⁠Subscribe to The Verge⁠ for unlimited access to ⁠theverge.com⁠, subscriber-exclusive newsletters, and our ⁠ad-free podcast feed⁠.We love hearing from you! Email your questions and thoughts to ⁠vergecast@theverge.com⁠ or call us at 866-VERGE11. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Some of the biggest players in AI — in particular OpenAI, SpaceX, and Amazon — are heavily invested in creating a world after smartphones. They're also all rumored to be building devices that sound a lot like smartphones. Verge contributor David Imel helps us figure out what these companies might actually be building, what an AI smartphone looks like, and whether anyone can unseat Apple and Google. Links: Elon Musk denies a report about SpaceX's AI phone prototype OpenAI is reportedly launching a phone for ChatGPT Amazon is making an Alexa phone Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed.We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Evan Smith, cofounder and CEO of Altana, was last on the show in early 2025 to talk about how Trump's first few waves of tariffs were starting to affect global trade. It was a very alarming and also very illuminating chat; Evan and I got into the existential weeds of international relations and economics almost immediately. A year and a half later, and everything is somehow even more chaotic than it was the last time Evan and I talked — and that's true about both trade and also the world of running a software company. Agentic AI, whack-a-mole tariff policy, war in Iran — we jumped right back into weeds yet again. Read the full interview transcript The Verge. Links:  How Trump's tariff chaos is already changing global trade | Decoder Skydio CEO Adam Bry on not drawing red lines for drone use | Decoder Trump imposes new global tariffs, drawing protests from trading partners | Reuters Greer: USMCA Talks Could Stretch Into Next Year | Wall Street Journal Trump hits Canada with new 50% tariffs | Associated Press Iran weaponized the Strait of Hormuz. Now neighbors are going around it | CNN The Iran war is testing Southeast Asia's faith in the US | Politico Subscribe to The Verge to access the ad-free version of Decoder! Credits: Decoder is a production of The Verge and part of the Vox Media Podcast Network. Decoder's producers are Kate Cox and Nick Statt. This episode was edited by Kabir Chopra. Our editorial director is Kevin McShane.  The Decoder music is by Breakmaster Cylinder. Learn more about your ad choices. Visit podcastchoices.com/adchoices

-The Open Source AI Alliance argues that to best defend against attacks in the age of AI models like Anthropic's Mythos 5, security researchers need access to both open and closed frontier models. -The European Commission has accused TikTok of failing to protect the privacy of accounts belonging to minors, since they're visible to the public by default. -As first reported by The Verge, Meta is pausing its rate limits for the accessibility feature that uses the glasses' speakers to amplify the voice of who you're talking to. Learn more about your ad choices. Visit podcastchoices.com/adchoices

AI escapes its sandbox, hacks a real company, and prompts urgent questions about the future of autonomous agents. Steven Scott and Shaun Preece break down the OpenAI and Hugging Face incident, AI security testing, and why this matters for everyone online. In this episode of Double Tap Mainstream, Steven Scott and Shaun Preece explore a startling real-world AI event. OpenAI admitted that one of its experimental autonomous agents broke out of a controlled test environment, exploited unknown vulnerabilities, and accessed Hugging Face servers without human involvement. The hosts discuss: How the AI “sandbox” test went wrong Why Hugging Face became the target The difference between human error and AI capability The rising stakes of AI in cybersecurity The proposed AI Kill Switch Act and its impact on future regulation They also cover Meta's recent reversal on charging for its Conversation Focus feature in smart glasses, including whether it should be considered an accessibility tool and how shifting paywalls might affect users. Relevant Links Double Tap: https://doubletaponair.com Hugging Face Security Update: https://huggingface.co The Verge on Meta Conversation Focus: https://www.theverge.com Key Quotes “AI wasn't being malicious—it was just following instructions, but that's what makes it scary.” — Steven Scott “How do you possibly contain something that can find its own way out?” — Shaun Preece Hashtags #ArtificialIntelligence #Cybersecurity #AIEthics ----Follow on:YouTube: https://www.doubletaponair.com/youtubeX (formerly Twitter): https://www.doubletaponair.com/xInstagram: https://www.doubletaponair.com/instagramTikTok: https://www.doubletaponair.com/tiktokThreads: https://www.doubletaponair.com/threadsFacebook: https://www.doubletaponair.com/facebookLinkedIn: https://www.doubletaponair.com/linkedinSubscribe to the Podcast:Apple: https://www.doubletaponair.com/appleSpotify: https://www.doubletaponair.com/spotifyRSS: https://www.doubletaponair.com/podcastiHeadRadio: https://www.doubletaponair.com/iheartAbout Double TapHosted by the insightful duo, Steven Scott and Shaun Preece, Double Tap is a treasure trove of information for anyone who's blind or partially sighted and has a passion for tech. Steven and Shaun not only demystify tech, but they also regularly feature interviews and welcome guests from the community, fostering an interactive and engaging environment. Tune in every day of the week, and you'll discover how technology can seamlessly integrate into your life, enhancing daily tasks and experiences, even if your sight is limited."Double Tap" is a registered trademark of Double Tap Productions Inc. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Google Zero continues to affect website after website, and publisher after publisher. David and Nilay discuss Google's increased focus on AI, the web companies finally starting to fight back, and whether there's a way forward for Google's pact with the open web. After that, they talk about a big week in AI detection software, which sometimes works and frequently doesn't. Then it's time for the Hype Desk, Brendan Carr is a dummy, the Light Flip, and more. Further reading: Google hit with $1 billion fine for breaking EU antitrust rules Reddit might cut ties with Google as traffic drops.  From the NYT: How Google's A.I. Search Is Imperiling the Open Web Google says Gemini now has 950 million monthly users.  Google earnings China delivers a one-two punch to America's AI dominance   OpenAI says it accidentally hacked Hugging Face with a new AI system  Substack adds an AI detector to help spot blogs written by no one  Anthropic's $1.5 billion book piracy settlement approved by judge  Jeff Bezos is getting involved with centering Amazon's AI in Prime Video Meta made its own AI detection system. It should have just used Google's  Ford picks Apple Maps for its next EV platform and updated BlueCruise Apple's rumored ‘Upgrade' program brings lease-to-own pricing for iPhones, Macs, and iPads iOS code could reportedly let Apple cut off apps when users miss iPhone payments  Framework's premium laptop is shipping with less RAM  The higher-end prebuilt Framework Laptop 13 Pro now costs $800 more.  The Light Flip is a minimalist flip phone with a point to prove  Judge pauses Paramount's attempt to buy Warner Bros. Discovery  Paramount's Warner deal gets conditional approval in the EU.  Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed. We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. (Timestamps are approximate.) 00:00:00 Intro 00:01:00 Claude Reads the Meters 00:04:00 Google Zero and Reddit Deal 00:15:00 AI Overviews Death Spiral 00:25:00 OpenAI Hacks Hugging Face 00:32:00 Substack AI Detector Debate 00:39:00 Prime Video Goes All In 00:44:00 Meta Content Seal Cynicism 00:53:00 Avengers Doomsday 01:03:00 Comic Con And Feige Reset 01:04:00 Brendan Carr Is a Dummy 01:12:00 Ramageddon Hits Framework 01:17:00 Apple Leasing Lockdown 01:21:00 Light Flip Phone Trend 01:26:00 Ford Picks Apple Maps 01:35:00 Paramount Merger Mess 01:35:00 Wrap Up And Plugs Learn more about your ad choices. Visit podcastchoices.com/adchoices

TikTok is endless. Netflix is already starting the next episode. Who's making time to read a book? Today we're chatting with The Atlantic's Rose Horowitch to discuss her story "The End of Reading is Here" and the role technology plays in reducing how much time — and attention — people have to read long pieces of writing. In a world where we're inundated with more text than ever from social media feeds, AI, and group chats, is it really possible that we're taking in less than before? Further reading: ⁠The End of Reading Is Here⁠ Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed.We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Today, I'm talking with Hayden Field, The Verge's senior AI reporter, about the major trade secrets lawsuit between Apple and OpenAI, and what this tells us about OpenAI's future.  Hayden has been covering OpenAI for years now, and she also just talked to a bunch of lawyers who specialize in intellectual property and trade secret law to get a sense of how serious this case is. The answer is not entirely positive for OpenAI. This legal battle could also affect OpenAI's hardware plans, its forthcoming IPO, and its already-damaged reputation.  Links:  Sam Altman didn't need another lawsuit | The Verge OpenAI's first device will be moveable, screenless speaker | Bloomberg Apple sues OpenAI for allegedly stealing hardware secrets | The Verge The 6 wildest claims in Apple's lawsuit against OpenAI | The Verge OpenAI is buying Jony Ive's AI hardware company | The Verge Subscribe to The Verge to access the ad-free version of Decoder! Credits: Decoder is a production of The Verge and part of the Vox Media Podcast Network. Decoder is produced by Kate Cox and Nick Statt and edited by Ursa Wright. Our editorial director is Kevin McShane.  The Decoder music is by Breakmaster Cylinder. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Samsung just kicked off phone season with the new Galaxy Z Fold 8, Fold 8 Ultra, and Z Flip 8, along with two new watches and a look at its smart glasses. David and Nilay talk through all the new devices, Samsung's overall case for foldable phones, and what it'll take for Samsung — or anyone — to convince people to spend $2,000 on a phone. Further reading: Samsung's wider Z Fold 8 feels just right Samsung's newest foldable finally feels Ultra I almost forgot Samsung's Z Flip 8 was a foldable Samsung's Galaxy Watch 9 and Ultra 2 bet big on battery Samsung and Google's smart glasses get two new designs Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed.We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Theater on the Verge visits the studio to preview their first concert, The Art of the Possible: Songs for a Marginally Less Terrible World, featuring performances from singers Abbey Crawford and Robby French.

So far, most electric vehicles have looked more or less like cars. But recently, a few companies have looked to another, smaller mode of transport for inspiration. The Verge's Andy Hawkins explains why companies like Amble and Chip are reinventing the golf cart, in the hopes of creating an entirely new kind of street-legal vehicle. As long as the speed limit stays low. Further reading: ⁠The Light Flip is a minimalist flip phone with a point to prove | The Verge⁠ ⁠Anthropic has to pay authors. | The Verge⁠ ⁠The cost of GPUs goes far beyond AI data centers | The Verge⁠ ⁠Is America ready for this quirky Jeep-looking EV that can park itself?⁠ ⁠The ‘G-Wagen of golf carts' could be the ideal second car⁠ ⁠America's cheapest new EV is smaller than a ping-pong table and tops out at 19mph⁠ ⁠Zoox's purpose-built robotaxi is getting a refresh⁠ Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed. We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Since the beginning of the AI revolution, a few companies have claimed to be building the best and most powerful AI models. All of them were American. More recently, a few Chinese companies seem to have caught up, shipping models that are much cheaper and maybe also just as good. The Verge's Hayden Field and Lauren Feiner join the show to explain how China made so much progress, the threat that progress represents to US companies and the US government, and what might happen next. Further reading: ⁠China and the US are battling to become the world's first AI superpower⁠ ⁠Trump's Anthropic shutdown just made the case for non-American AI⁠ ⁠China delivers a one-two punch to America's AI dominance⁠ Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed. We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Dr. Jill Lepore is one of the best writers there is at identifying institutional patterns in history, and Decoder is a show about systems and organization — so her new book, The Rise and Fall of the Artificial State, is a perfect fit for the show. You build systems by measuring things — gathering information, quantifying it as data, and taking action on it. The book's big thesis is that this kind of systemic measurement is really a dehumanizing act, one that flattens humanity and human concerns into something, well, artificial. These artificial structures touch everything — not just in the more obvious places like in apps or AI, but all the way up to politics, governance, and the very future of the nation-state itself. Links:  The Artificial State | The New Yorker  ‘Terminator' to tech titans: Jill Lepore on the ‘artificial state' | Yale Univ. The failed ideas that drive Elon Musk | New York Times Sam Altman | The Joe Rogan Experience Subscribe to The Verge to access the ad-free version of Decoder! Credits: Decoder is a production of The Verge and part of the Vox Media Podcast Network. Decoder's producers are Kate Cox and Nick Statt. This episode was edited by Xander Adams. Our editorial director is Kevin McShane. The Decoder music is by Breakmaster Cylinder. Learn more about your ad choices. Visit podcastchoices.com/adchoices

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

It's public beta season, which means David and Nilay have been upgrading some devices this week. We talk through the good and bad of our early experiences with Siri AI, and what it'll take for next-gen Siri to be a hit. After that, we discuss the real reason Apple decided to sue OpenAI over trade secrets, OpenAI's forthcoming smart speaker, the new Pixel colors, our emoji strategies, Brendan Carr, and much more. Further reading: Apple's public betas for iOS 27 and more are out now  Siri AI makes the Apple Watch finally feel like a wrist computer  Siri AI is already changing how I use my iPhone  The macOS 27 public beta is worth it just for the Liquid Glass tweaks  Apple sues OpenAI for allegedly stealing hardware secrets  Suno snatched millions of songs from YouTube, Genius, and Deezer Sam Altman didn't need another lawsuit  The 6 wildest claims in Apple's lawsuit against OpenAI  Another turn in the Apple v. OpenAI dispute.  OpenAI has a new statement about Apple's lawsuit.  OnePlus officially gives up on the US and Europe OnePlus is dead in the US. Did it ever have a chance? Samsung shows off ‘brand new shape' for Z Fold 8 in Spider-Man teaser OpenAI may announce a ChatGPT smart speaker this year  OpenAI finally launches hardware… for Codex Pixel Watch 5 leak shows off four different finishes  The Pixel colors might rule this year  The PS6 sure sounds like a handheld  Brendan Carr plans to let broadcast giants dominate the airwaves X admits its broken algorithm made the site feel like a ‘battleground'  States make last-ditch effort to stop the Paramount ‘media behemoth'  Paramount lead trial counsel on state AG suit: This merger is pro-competitive The new cracking face emoji might be an all-timer.  Google's Demis Hassabis says it's time for a global AI watchdog — led by the US  Google and Epic give up fighting — third-party Android app stores are coming next week Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed.We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. (Timestamps are approximate.) 00:01:00 Intro 00:02:00 Apple Betas and New Siri 00:08:00 Gemini Car Assistant Fails 00:15:00 Apple Sues OpenAI 00:18:00 Trade Secret Law Explained 00:28:00 Settlement or Long Fight 00:35:00 OpenAI Home Device Doubts 00:42:00 Smartphone Platform Lessons 00:50:00 Pixel Colors and Naming 00:52:00 OnePlus Retreat Explained 00:55:00 Carriers and iPhone Lock In 01:05:00 Brendan Carr Bribery Scandal 01:14:00 Emoji Lightning Round 01:18:00 X Algorithm Rediscovery 01:23:00 Foothills Of Singularity 01:29:00 Paramount Merger Spin 01:33:00 Wrap And Plugs Learn more about your ad choices. Visit podcastchoices.com/adchoices

Moonshot AI released Kimi K3, a 2.8T-parameter model it says rivals Opus 4.8 and GPT-5.5. Google fell months behind on Gemini 3.5 Pro, MLB banned dugout iPads from accessing GenAI for in-game calls, and The Verge tested Siri AI. Moonshot AI releases Kimi K3, a 2.8T-parameter AI model that it says rivals Claude Opus 4.8 and GPT-5.5, and plans to release its full model weights by July 27 (VentureBeat) Sources: Google is months behind schedule on delivering Gemini 3.5 Pro as it tries to improve its capabilities, particularly in coding; GOOG closes down 4.43% (Bloomberg) Memo: MLB bans the use of league-provided dugout iPads to access GenAI for in-game strategy calls; sources say at least a third of teams used AI this way (The Athletic) Longreads The Verge spends a month testing Siri AI in the iOS 27 public beta, finding it's already reshaping how people use their iPhone, though it can't yet reach non-Apple apps (The Verge) Subscribe to the ad-free feed. Learn more about your ad choices. Visit megaphone.fm/adchoices

AI text detectors have been notoriously unreliable, but that's starting to change. This year, Pangram keeps coming up as the trusted source in identifying AI-written text. We sit down with Pangram CEO Max Spero to find out how the system was made, how much we should trust it, and where the line is between useful AI and AI slop. Further reading: OnePlus officially gives up on the US and Europe⁠ ⁠Google ordered to open Android and Search to rivals in Europe⁠ ⁠Brendan Carr plans to let broadcast giants dominate the airwaves⁠ ⁠⁠The literary world isn't prepared for AI⁠ Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed. We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. Learn more about your ad choices. Visit podcastchoices.com/adchoices

We've got the first of a two-part series on the systems that run the world: I'm talking today with Bart Butler, the CTO of Proton, the company that makes private and secure productivity software. There's a lot of big Decoder themes in this one. That includes how Proton has structured its ownership and architected its products to align its incentives with protecting users. At the same time, Proton faces new challenges and pressures, both at home in Switzerland and from the EU and US government that are putting its values to the test.  Links:  Proton now offers an entire bundle of office services | The Verge Proton Mail helped FBI unmask anonymous ‘Stop Cop City' protester | 404Media Proton says it will leave Switzerland if this controversial law Is passed | Vice Age verification is a mess but we're doing it anyway | The Verge Let's build a children's public internet | The Verge Let me see some ID: age verification is spreading across the internet | The Verge Why Chat Control 1.0 is the EU's most Orwellian law yet | Euronews Subscribe to The Verge to access the ad-free version of Decoder! Credits: Decoder is a production of The Verge and part of the Vox Media Podcast Network. Decoder is produced by Kate Cox and Nick Statt and edited by Ursa Wright. Our editorial director is Kevin McShane.  The Decoder music is by Breakmaster Cylinder. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Jennifer Pattison Tuohy of The Verge joins the show this week! Is Google's AI Search failing kids? OpenAI could be releasing its first device: a proactive AI-smart speaker. OnePlus is exiting the US & European market. And Microsoft's Comic Chat is now open source. Common Sense Media finds Google's AI Overviews and AI Mode miss warning signs like suicidal ideation and validate disordered eating, especially concerning. Bloomberg reports that OpenAI is building a screen-free, proactive smart speaker for the home. Katie Collins from CNET joins the show to talk about OnePlus's withdrawal from the US & European market. And Microsoft releases the code for its iconic mid-90s comic-strip IRC client (birthplace of Comic Sans) on GitHub. Hosts: Mikah Sargent and Jennifer Pattison Tuohy Guest: Katie Collins Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: blackhat.com/us-26 and use code TWIT rippling.ai/tnw framer.com/tnw zscaler.com/security

Jennifer Pattison Tuohy of The Verge joins the show this week! Is Google's AI Search failing kids? OpenAI could be releasing its first device: a proactive AI-smart speaker. OnePlus is exiting the US & European market. And Microsoft's Comic Chat is now open source. Common Sense Media finds Google's AI Overviews and AI Mode miss warning signs like suicidal ideation and validate disordered eating, especially concerning. Bloomberg reports that OpenAI is building a screen-free, proactive smart speaker for the home. Katie Collins from CNET joins the show to talk about OnePlus's withdrawal from the US & European market. And Microsoft releases the code for its iconic mid-90s comic-strip IRC client (birthplace of Comic Sans) on GitHub. Hosts: Mikah Sargent and Jennifer Pattison Tuohy Guest: Katie Collins Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: blackhat.com/us-26 and use code TWIT rippling.ai/tnw framer.com/tnw zscaler.com/security

Jennifer Pattison Tuohy of The Verge joins the show this week! Is Google's AI Search failing kids? OpenAI could be releasing its first device: a proactive AI-smart speaker. OnePlus is exiting the US & European market. And Microsoft's Comic Chat is now open source. Common Sense Media finds Google's AI Overviews and AI Mode miss warning signs like suicidal ideation and validate disordered eating, especially concerning. Bloomberg reports that OpenAI is building a screen-free, proactive smart speaker for the home. Katie Collins from CNET joins the show to talk about OnePlus's withdrawal from the US & European market. And Microsoft releases the code for its iconic mid-90s comic-strip IRC client (birthplace of Comic Sans) on GitHub. Hosts: Mikah Sargent and Jennifer Pattison Tuohy Guest: Katie Collins Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: blackhat.com/us-26 and use code TWIT rippling.ai/tnw framer.com/tnw zscaler.com/security

Un artículo de The Verge ha releído la última reunión de inversores de Sony a la luz del fin del disco físico, y todo encaja: PlayStation prepara una portátil como pieza central de su próxima consola. Lo habían dicho ya, solo que en el idioma correcto. * * * Loop Infinito, podcast de Xataka, de lunes a viernes a las 7:00 (hora peninsular española). Presentado por Javier Lacort. Editado por Alberto de la Torre. * * * Contacto: lacort@xataka.com, @lacort en X.

Jennifer Pattison Tuohy of The Verge joins the show this week! Is Google's AI Search failing kids? OpenAI could be releasing its first device: a proactive AI-smart speaker. OnePlus is exiting the US & European market. And Microsoft's Comic Chat is now open source. Common Sense Media finds Google's AI Overviews and AI Mode miss warning signs like suicidal ideation and validate disordered eating, especially concerning. Bloomberg reports that OpenAI is building a screen-free, proactive smart speaker for the home. Katie Collins from CNET joins the show to talk about OnePlus's withdrawal from the US & European market. And Microsoft releases the code for its iconic mid-90s comic-strip IRC client (birthplace of Comic Sans) on GitHub. Hosts: Mikah Sargent and Jennifer Pattison Tuohy Guest: Katie Collins Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: blackhat.com/us-26 and use code TWIT rippling.ai/tnw framer.com/tnw zscaler.com/security

Jennifer Pattison Tuohy of The Verge joins the show this week! Is Google's AI Search failing kids? OpenAI could be releasing its first device: a proactive AI-smart speaker. OnePlus is exiting the US & European market. And Microsoft's Comic Chat is now open source. Common Sense Media finds Google's AI Overviews and AI Mode miss warning signs like suicidal ideation and validate disordered eating, especially concerning. Bloomberg reports that OpenAI is building a screen-free, proactive smart speaker for the home. Katie Collins from CNET joins the show to talk about OnePlus's withdrawal from the US & European market. And Microsoft releases the code for its iconic mid-90s comic-strip IRC client (birthplace of Comic Sans) on GitHub. Hosts: Mikah Sargent and Jennifer Pattison Tuohy Guest: Katie Collins Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: blackhat.com/us-26 and use code TWIT rippling.ai/tnw framer.com/tnw zscaler.com/security

Jennifer Pattison Tuohy of The Verge joins the show this week! Is Google's AI Search failing kids? OpenAI could be releasing its first device: a proactive AI-smart speaker. OnePlus is exiting the US & European market. And Microsoft's Comic Chat is now open source. Common Sense Media finds Google's AI Overviews and AI Mode miss warning signs like suicidal ideation and validate disordered eating, especially concerning. Bloomberg reports that OpenAI is building a screen-free, proactive smart speaker for the home. Katie Collins from CNET joins the show to talk about OnePlus's withdrawal from the US & European market. And Microsoft releases the code for its iconic mid-90s comic-strip IRC client (birthplace of Comic Sans) on GitHub. Hosts: Mikah Sargent and Jennifer Pattison Tuohy Guest: Katie Collins Download or subscribe to Tech News Weekly at https://twit.tv/shows/tech-news-weekly. Join Club TWiT for Ad-Free Podcasts! Support what you love and get ad-free audio and video feeds, a members-only Discord, and exclusive content. Join today: https://twit.tv/clubtwit Sponsors: blackhat.com/us-26 and use code TWIT rippling.ai/tnw framer.com/tnw zscaler.com/security

Valve's Steam Machine might be exactly the living room console you've been waiting for. Or it might be too expensive, totally pointless, a waste of everyone's money and shelf space. The Verge's Sean Hollister joins the show to talk through all the feedback we've been getting about our coverage and our review. Is Valve's history a pro or a con? Is the price reasonable or ridiculous? Who is this device actually for? We have much to discuss. Further reading: Google and Epic give up fighting — third-party Android app stores are coming next week OpenAI may announce a ChatGPT smart speaker this year Another turn in the Apple v. OpenAI dispute ⁠The Steam Machine is the most ambitious game console I've ever played⁠⁠ ⁠⁠The Steam Machine fits my TV, my desk, and my life⁠⁠ ⁠⁠Valve will finally let you build your own Steam Machine with SteamOS for desktop⁠⁠ ⁠⁠How much would the Steam Machine cost to build?⁠ Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed. We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Sources:https://substack.com/@returntotradition1Contact Me:Email: return2catholictradition@gmail.comSupport My Work:Patreonhttps://www.patreon.com/AnthonyStineSubscribeStarhttps://www.subscribestar.net/return-to-traditionBuy Me A Coffeehttps://www.buymeacoffee.com/AnthonyStinePhysical Mail:Anthony StinePO Box 3048Shawnee, OK74802Follow me on the following social media:https://www.facebook.com/ReturnToCatholicTradition/https://twitter.com/pontificatormax+JMJ+#popeleoXIV #catholicism #catholicchurch #catholicprophecy#infiltration

Our 252th episode with a summary and discussion of last week's big AI news!Recorded on 07/11/2026Hosted by Andrey Kurenkov and Jeremie HarrisFeel free to email us your questions and feedback at andreyvkurenkov@gmail.com and/or hello@gladstone.aiRead out our text newsletter and comment on the podcast at https://lastweekin.ai/In this episode:OpenAI publicly rolled out GPT-5.6 (including Sol and Luna) and rebranded its desktop agentic coding product as ChatGPT Work, amid disputed claims about whether the US government effectively green-lit and delayed the release and concerns about inconsistent, ad hoc frontier-model oversight and jailbreakability.New model releases intensified pricing and capability competition: SpaceX AI's Grok 4.5 launched as a very low-cost, Opus-class coding model with minimal safety documentation, while Meta released Muse Spark 1.1 with aggressive pricing, large coding/cyber benchmark gains, and a lengthy safety evaluation.Meta also previewed Muse Video and rolled out Muse Image before quickly backtracking after backlash over easy generation of images of public Instagram accounts; separately, Chinese open-source models grew to over 30% of weekly OpenRouter tokens as cost pressure increased, alongside discussion of risks like potential insider threats.Infrastructure, policy, and safety developments included Meta exploring selling AI compute as a cloud business, US energy regulators pressing grid operators on large-load data-center connections, Anthropic publishing a “global workspace” interpretability method for verbalizable internal representations, reports that China may restrict overseas access to top models, and AI 2040 proposing US–China coordination to slow progress until alignment improves.Timestamps (note - these don't take into account dynamically inserted ads and therefore may be off by a couple of minutes):(00:00:10) Intro / Banter(00:01:33) News PreviewTools & Apps(00:02:03) OpenAI rolls out GPT-5.6 after government greenlight — and announces ‘ChatGPT Work' | The Verge + The new ChatGPT superapp takes aim at Claude Desktop + OpenAI is shutting down its Atlas web browser + OpenAI's latest AI model likely has similar cyber vulnerabilities to one that led to U.S. export controls on Anthropic's Fable, British agency says(00:15:41) SpaceXAI, Cursor Launch Grok 4.5 AI Model for Finance, Legal Applications - Bloomberg + SpaceXAI's Grok 4.5 Undercuts Anthropic and OpenAI on Coding Agent Pricing(00:20:29) Meta says its new AI model is ready to compete on coding | The Verge(00:27:21) Introducing Muse Image and Muse Video + https://www.nytimes.com/2026/07/10/technology/meta-muse-images-instagram-removal.html(00:29:01) Chinese AI models gain ground with U.S. companies as costs surge +Anthropic and OpenAI Face a New Threat from ChinaApplications & Business(00:35:21) Meta Is Planning a Cloud Business to Sell AI Computing Power - Bloomberg(00:46:32) US energy regulator sets ultimatum for data centres + Grid operator PJM orders emergency steps to avoid large-scale US power outagesProjects & Open Source(00:51:40) Nemotron-Labs-Diffusion: A Tri-Mode Language Model Unifying Autoregressive, Diffusion, and Self-Speculation Decoding(00:57:44) Tencent Releases Hy3: An Open 295B Mixture-of-Experts (MoE) Model with 21B Active Parameters and 256K Context - MarkTechPostPolicy & Safety(00:58:30) Verbalizable Representations Form a Global Workspace in Language Models(01:09:29) Beijing is looking at curbing overseas access to China's top AI models, sources say(01:12:53) The ex-OpenAI employee behind ‘AI 2027' recommends a rosier path - The Washington Post + AI 2040: Plan ASee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

AI-generated music is suddenly everywhere. On social media, music streaming services, and elsewhere, stuff made on Suno is becoming unavoidable. The Verge's Terrence O'Brien joins David to talk about where Suno came from, whether it can truly change the way we create and consume music, and how we can and should respond to AI music. We also have some thoughts on whether these songs might someday be bangers. Further reading: X admits its broken algorithm made the site feel like a ‘battleground' | The Verge The Pixel colors might rule this year | The Verge Pixel Watch 5 leak shows off four different finishes | The Verge New York becomes the first state to enact a data center moratorium | The Verge Suno is a music copyright nightmare Suno leans into customization with v5.5 Nobody wants to tell me why they only listen to their own Suno slop Suno's upgraded AI music generator is technically impressive, but still soulless Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed.We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. Learn more about your ad choices. Visit podcastchoices.com/adchoices

So far, there have been exactly zero great AI-first gadgets. But that hasn't stopped the tech industry from trying to figure out what shape and size these new gadgets might take, and whether any of them can best the device in your pocket. The Verge's Allison Johnson and Victoria Song join David to rank all those shapes, from pendant to smartwatch to rectangle, to see whether there is actually a next big thing out there. Further reading: ⁠Apple sues OpenAI for allegedly stealing hardware secrets | The Verge⁠ ⁠Less is more with the Oura Ring 5 | The Verge⁠ Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed. We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Nvidia is obviously in the news constantly because of the AI boom — but it's also a major supplier to the entire auto industry As head of Nvidia's automotive division, Xinzhou Wu has a front-row seat to all the challenges EVs and autonomous vehicles are facing, especially in the US. And of course, you can't talk about electric cars or vehicle autonomy in the US without talking about Elon Musk and Tesla. So I asked Xinzhou pretty directly if Tesla full self driving can actually do what Elon claims it will be able to do without using LiDAR. You tell me if you think his answer holds up. Read the ⁠full interview transcript on The Verge⁠. Links:  Nvidia's head of autonomous driving opens up about his plans | The Verge Hyundai, Nissan, BYD, and Geely Join Nvidia's Level 4 | MotorTrend Nvidia, auto suppliers roll out partnerships to rekindle self-driving  | Reuters Meet Alpamayo, Nvidia's new AI model for autonomous cars | Forbes I tested Nvidia's FSD competitor — Tesla should be worried | The Verge Subscribe to The Verge to access the ad-free version of Decoder! Credits: Decoder is a production of The Verge and part of the Vox Media Podcast Network. Decoder's producers are Kate Cox and Nick Statt; this episode was edited by Xander Adams. Our editorial director is Kevin McShane.  The Decoder music is by Breakmaster Cylinder. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Crude prices surge as President Trump says the US is ‘reinstating' a Strait of Hormuz blockade. Apple sues OpenAI, alleging intellectual property theft, but The Verge's Nilay Patel questions if trade secrets even exist when it comes to AI. Plus, with tech companies trading at peak margins, we set the table for second quarter earnings season with Wolfe's Chris Senyek.  Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Netflix makes shows. And movies. And podcasts. And games. And… YouTube videos, apparently. So what even is Netflix anymore? Nilay and David have ideas. After that, they talk about Meta's ongoing smart glasses mess, and whether Meta or anyone can make these devices work. Finally, it's time for Brendan Carr, RAMageddon, the state of X, and a dumb TV mystery. Further reading: Bloomberg: ⁠Netflix Viewers Are Abandoning Shows After One Season⁠ ⁠Of course viewers are giving up on Netflix shows ⁠ ⁠Netflix is about to host videos from BuzzFeed, Condé Nast, and other publishers⁠ ⁠Netflix Bets on Short Videos to Compete With YouTube - Business Insider⁠ ⁠Netflix's video podcast engagement numbers 'are low,' per insider⁠ ⁠Emmy Nominations List 2026: BEEF, The Diplomat, The Beast in Me, Black Rabbit, and More - Netflix Tudum⁠ ⁠If Microsoft sold off Xbox, who would even buy it?⁠ ⁠Meta is reportedly working on smart glasses that would be recording all the time ⁠ ⁠Meta's glasses will turn off the camera if you tamper with the privacy light ⁠ ⁠Solos debuts an even lighter version of its camera-less smart glasses ⁠ ⁠Boz describes how Meta's smart glasses facial recognition feature would work. ⁠ ⁠Another verdict on camera glasses in court: nope! ⁠ ⁠ABC tells the government to get out of its newsrooms⁠ ⁠Meta's new Muse Image model can pull other Instagram users into AI photos ⁠ ⁠You can (and should) opt out of letting people use your Instagram posts with Meta's AI.⁠ ⁠Are you ready for what it takes to stop ghost guns?⁠ ⁠Vizio accidentally made the best dumb TV on the market⁠ ⁠PC shipments fell for the first time in over two years thanks to RAMageddon. ⁠ ⁠A tough chart about the RAM crisis. ⁠ ⁠Subscribe to The Verge⁠ for unlimited access to ⁠theverge.com⁠, subscriber-exclusive newsletters, and our ⁠ad-free podcast feed⁠.We love hearing from you! Email your questions and thoughts to ⁠vergecast@theverge.com⁠ or call us at 866-VERGE11. (Timestamps are approximate.) 00:01:00 Intro 00:04:00 Netflix Identity Crisis 00:08:00 Creators Versus Netflix 00:15:00 Netflix Buys YouTube Videos 00:18:00 Go90 Scale Check In 00:19:00 Netflix Should Buy Xbox 00:28:00 Smart Glasses Panopticon 00:46:00 Backlash And Offline Tech 00:49:00 Smart Glasses Without Cameras 00:55:00 FCC Chilling Effect 01:03:00 Ramageddon Price Shock 01:07:00 Regulating Ghost Guns 01:14:00 X Product Reality Check 01:20:00 Vizio Dumb TV Mystery 01:25:00 Wrap Up And Plugs Learn more about your ad choices. Visit podcastchoices.com/adchoices

Quantum computing hype is everywhere. Trump says we'll have one by 2028, Microsoft by 2029. IBM is investing billions. Is it really happening? Science journalist Sophia Chen joins us to discuss her article, "What is a quantum computer good for? Absolutely nothing — yet," and break down what's real and what's hype in the quantum computing race. Further reading ⁠Meta is reportedly working on smart glasses that would be recording all the time⁠ ⁠Sonos laid off some of its veteran product and design executives⁠ ⁠Cash App fraud⁠ ⁠Starlink deployments on record pace⁠ ⁠Play-Doh for adults is the new Lego for adults⁠ ⁠Slate is hoping a little Razzmatazz will help sell its trucks⁠ ⁠What is a quantum computer good for? Absolutely nothing — yet⁠ ⁠A new paper argues Microsoft exaggerated its quantum claims a year ago⁠ ⁠Drama over quantum computing's future heats up⁠ ⁠The race is on for quantum-safe cryptography⁠ Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed. We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. Learn more about your ad choices. Visit podcastchoices.com/adchoices

My guest today is Peter Kafka, chief correspondent at Business Insider and host of Channels, a podcast about the media industry. And it's a big week for the media industry — Comcast just announced that it's splitting itself up, into the Comcast broadband company and the NBCUniversal entertainment company. This dream, that you can combine distribution with big splashy entertainment properties, has failed time and again. But Comcast tried the content plus pipes strategy for longer than most. So Peter and I discussed what happened in the media and broadband industries over the last 15 years, and what might happen next.  Read the full interview transcript on The Verge. Links:  Comcast is cutting NBCUniversal loose | Business Insider Comcast's split could make or break Peacock | The Verge Comcast and NBCUniversal will go it alone. But for how long? | NYT Comcast split shows bigger is no longer better | Deadline A cable scion's hardest deal yet: breaking up his family's company | WSJ Subscribe to The Verge to access the ad-free version of Decoder! Credits: Decoder is a production of The Verge and part of the Vox Media Podcast Network. Decoder is produced by Kate Cox and Nick Statt and edited by Ursa Wright. Our editorial director is Kevin McShane.  The Decoder music is by Breakmaster Cylinder. Learn more about your ad choices. Visit podcastchoices.com/adchoices

There's a race to get smart glasses on your face. But privacy and security concerns are freaking people out. This episode was produced by Avishay Artsy, edited by Jolie Myers, fact-checked by Gabriel Dunatov, engineered by David Tatasciore and Patrick Boyd, and hosted by Sean Rameswaram. Victoria Song, senior reviewer for The Verge, models several pairs of smart glasses. Photo by Amelia Holowaty Krales / The Verge. Listen to Today, Explained ad-free by becoming a Vox Member: vox.com/members. New Vox members get $20 off their membership right now. Transcript at ⁠vox.com/today-explained-podcast.⁠ Learn more about your ad choices. Visit podcastchoices.com/adchoices

How much smartphone is too much smartphone? Why is it so hard to switch from one phone to another, even in 2026? And is your smartwatch finally ready to replace your phone, even for a few things? These are the questions you have, and The Verge's Allison Johnson is here to answer them. If you have others, keep 'em coming! Call the Vergecast Hotline at 866-VERGE11, email ⁠vergecast@theverge.com⁠, tell us everything. Further reading: Google announces Pixel 11 launch event in August | The Verge The whole Pixel line could get more expensive this year | The Verge Meta's glasses will turn off the camera if you tamper with the privacy light | The Verge This jumping $800 robot camera dog filled me with joy ⁠Ditching my phone for an LTE smartwatch was a humbling experience⁠ ⁠I switch phones once a week — here's how I manage the chaos⁠ ⁠Welp, I bought an iPhone again⁠ Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed. We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. Learn more about your ad choices. Visit podcastchoices.com/adchoices

We have all become desensitized. Every place is like every other place, every experience is happening at a remove and on a screen. And Ian Bogost, a Washington University professor and a writer at The Atlantic, argues that this "dematerialization" is making our life worse. Ian joins David to explain how to once again commune with the world. He tells us of the magic of paper tickets, why he's kind of obsessed with the rubber on his water bottle, and why you don't need to throw phone into the ocean — but you should probably watch more ASMR videos. The Small Stuff: How to Lead a More Gratifying Life The Cult of Delayed Gratification Is a Lie Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed.We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. Learn more about your ad choices. Visit podcastchoices.com/adchoices

We've been tracking the Trump Phone for more than a year. We weren't sure it was real, or that it would ever ship — and we were pretty darn sure it wasn't going to be made in America. Whatever the Trump Phone is, though? We finally got our hands on one. Dom Preston and some other Verge friends will join David to talk about the device, our first impressions, and whether this is could be the best phone of 2026. (Just kidding.) Further reading: ⁠I finally got my Trump phone⁠ Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed.We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. Learn more about your ad choices. Visit podcastchoices.com/adchoices

Today I'm talking with Ali Berman and Raina Penchansky, who run the Creators Division at United Talent Agency. UTA is an enormous talent agency, and Ali and Raina's creators division represents some of the biggest creators and influencers in the world. So I really wanted to know how Raina and Ali identify up-and-coming talent, how they work with that talent to build durable businesses, and what the machinations of being a top creator actually look like in practice. Read the full interview transcript on The Verge. Links:  The power brokers behind the $250B influencer economy | Wall Street Journal The Influencer Cliff | Carmen Vicente (TikTok) UTA Unveils Upscale Office for Creators | The Hollywood Reporter YouTube Stars Breach Hollywood's Most Gilded Gate | New York Times CAA, TPG form holding company to acquire creator-led businesses | Variety How creator talent agencies are evolving into multi-platform operators | Digiday Subscribe to The Verge to access the ad-free version of Decoder! Credits: Decoder is a production of The Verge and part of the Vox Media Podcast Network. Decoder is produced by Kate Cox and Nick Statt; this episode was edited by Xander Adams. Our editorial director is Kevin McShane.  The Decoder music is by Breakmaster Cylinder. Learn more about your ad choices. Visit podcastchoices.com/adchoices

For many of us in the US, it's the beginning of a holiday weekend. So we figured we'd try and help you out. We grabbed a bunch of Verge staffers, and asked them all a simple question: How do you disconnect? We have ideas about Wi-Fi, about phone hygiene, about smartwatches, and much more. We're certainly not here to tell you to ditch screens entirely, but... screen responsibly, you know? Send us your tips, and have a great summer vacation! Subscribe to The Verge for unlimited access to theverge.com, subscriber-exclusive newsletters, and our ad-free podcast feed.We love hearing from you! Email your questions and thoughts to vergecast@theverge.com or call us at 866-VERGE11. Learn more about your ad choices. Visit podcastchoices.com/adchoices