Podcasts about Electricity

Electricity plays an important role in our everyday lives, including allowing our bodies to communicate internally. But some research claims electricity may be used to diagnose and treat disease? Could electric pulses one day replace medications? We speak with experts about the growing field of bioelectric medicine and the evidence for electricity's healing abilities. Their comments may shock you. Guests: Sally Adee – Science journalist, author of “We Are Electric: Inside the 200-Year Hunt for Our Body's Bioelectric Code, and What the Future Holds" Samantha Payne – Assistant Professor of Biomedical Sciences at University of Guelph Kevin Tracey – Neurosurgeon and President of the Feinstein Institutes at Northwell Health Descripción en español originally aired June 5, 2023 Featuring music by Dewey Dellay and Jun Miyake Big Picture Science is part of the Airwave Media podcast network. Please contact advertising@airwavemedia.com to inquire about advertising on Big Picture Science. You can get early access to ad-free versions of every episode by joining us on Patreon. Thanks for your support! Learn more about your ad choices. Visit megaphone.fm/adchoices

Electricity plays an important role in our everyday lives, including allowing our bodies to communicate internally. But some research claims electricity may be used to diagnose and treat disease? Could electric pulses one day replace medications? We speak with experts about the growing field of bioelectric medicine and the evidence for electricity's healing abilities. Their comments may shock you. Guests: Sally Adee – Science journalist, author of “We Are Electric: Inside the 200-Year Hunt for Our Body's Bioelectric Code, and What the Future Holds" Samantha Payne – Assistant Professor of Biomedical Sciences at University of Guelph Kevin Tracey – Neurosurgeon and President of the Feinstein Institutes at Northwell Health Descripción en español originally aired June 5, 2023 Featuring music by Dewey Dellay and Jun Miyake Big Picture Science is part of the Airwave Media podcast network. Please contact advertising@airwavemedia.com to inquire about advertising on Big Picture Science. You can get early access to ad-free versions of every episode by joining us on Patreon. Thanks for your support! Learn more about your ad choices. Visit megaphone.fm/adchoices

Nosipho Radebe speaks to Prof. Samson Mamphweli, Head of the Energy Secretariat at South African National Energy Institute (SANEDI)See omnystudio.com/listener for privacy information.

Electricity and Energy Minister Kgosientsho Ramokgopa is leading a high-level South African delegation to China this week to attract investment in electricity infrastructure and new generation projects. The visit follows Cabinet's approval of key electricity market reforms and comes as government begins implementing the Integrated Resource Plan 2025. South Africa's transmission expansion programme is expected to require more than R2.2 trillion in investment, with discussions focusing on financing and strategic partnerships. Sakina Kamwendo spoke to SABC reporter Katlego Legodi

John Maytham speaks to Matthew Cruise, Energy Analyst at IMPOWER. He'll explain how Eskom's evolving pricing model fits into the broader restructuring process, whether greater competition could ease pressure on electricity tariffs over the long term, and what South Africans should realistically expect as the country's electricity market transitions to a new operating model. Presenter John Maytham is an actor and author-turned-talk radio veteran and seasoned journalist. His show serves a round-up of local and international news coupled with the latest in business, sport, traffic and weather. The host’s eclectic interests mean the program often surprises the audience with intriguing book reviews and inspiring interviews profiling artists. A daily highlight is Rapid Fire, just after 5:30pm. CapeTalk fans call in, to stump the presenter with their general knowledge questions. Another firm favourite is the humorous Thursday crossing with award-winning journalist Rebecca Davis, called “Plan B”. Thank you for listening to a podcast from Afternoon Drive with John Maytham Listen live on Primedia+ weekdays from 15:00 and 18:00 (SA Time) to Afternoon Drive with John Maytham broadcast on CapeTalk https://buff.ly/NnFM3Nk For more from the show go to https://buff.ly/BSFy4Cn or find all the catch-up podcasts here https://buff.ly/n8nWt4x Subscribe to the CapeTalk Daily and Weekly Newsletters https://buff.ly/sbvVZD5 Follow us on social media: CapeTalk on Facebook: https://www.facebook.com/CapeTalk CapeTalk on TikTok: https://www.tiktok.com/@capetalk CapeTalk on Instagram: https://www.instagram.com/ CapeTalk on X: https://x.com/CapeTalk CapeTalk on YouTube: https://www.youtube.com/@CapeTalk567 See omnystudio.com/listener for privacy information.

The cost of electricity seems to be affecting loads of you this winter ... actually not only the cost .. many of you were told to conserve power this week after the cold weather almost overloaded the grid. It certainly seems like something has to give. A just released report shows expansion of flexible electricity use and batteries could deliver some hefty energy savings. EECA and the BusinessNZ Energy Council have been crunching the numbers, using an internationally recognised modelling platform. They say these savings could be between $5.4 and $20.8 billion through to 2050. Mike Casey, Chief Executive of Rewiring Aotearoa, joins Jesse to discuss.

In this week's Talking Money, Kieran discusses the government's new cut to VAT on electricity, and why the saving may be a drop in the ocean compared to the deluge of bill hikes to come.

President Ramaphosa has endorsed the Phase I report of the Eskom Restructuring Task Team (ERTT), setting the stage to restructure South Africa's electricity sector to create competition, unlock investment, reduce electricity prices and ensure energy security for sustained economic growth and job creation. The report sets out recommendations for establishing an independent Transmission System Operator separate from Eskom. Sakina Kamwendo spoke to Professor Vally Padayachee, Power and Energy Expert and a former Executive Manager of Eskom and a former Senior Executive of City Power JHB

Join Jim and Greg for the Thursday 3 Martini Lunch as they dive into reports that Iran and Russia are suffering from severe energy crises, the U.S. economy growing less than expected in the second quarter, 12-day sprint to the GOP South Carolina Senate primary, and the trans community getting furious over donuts.First, they talk about reports that Iran is having to implement rolling blackouts, partly from 120-degree summer temperatures but also because some of it's electrical grid has been damaged in the war. They're also promising long lines at gas stations. Russia is also experiencing an energy crisis. But does this meaningfully weaken either of these regimes?Next, they're disappointed to see lower than expected economic growth in the second quarter. The economy grew by 1.5 percent. It's still positive territory but the cost of gasoline and other essentials are dragging the number lower. What will the impact of this be in November?Then, they dissect the 12-day, 12-candidate sprint for the Republican U.S. Senate primary in South Carolina. Both Jim and Greg think voters deserve much more detail on every issue from Sen. Darline Graham if she wants a six-year term. They also weigh on on the candidacies of Reps. Ralph Norman and Russell Fry and former Gov. Mark Sanford.Finally, they shake their heads as the Tim Horton's chain takes heat from what's now being called the 2SLGBTQ+ community because Tim Horton's plans to create Harry Potter-themed treats next month.Please visit our great sponsors:OneSkinGet 15% off OneSkin Summer Bundles with promo code 3ML at https://oneskin.co/3mlQuoMoney is on the line. Always say hello with QUO. Try QUO for FREE PLUS get 20% off your first 6 months when you go to https://Quo.com/3MLHomeServeProtect your home through HomeServe.  For 50% less your first year, visit https://HomeServe.com/Martini  for the plan that's right for you. Savings compared to renewal price. Void in Florida.New episodes every weekday. 

For nearly two weeks, thousands of Calgarians joined the search for Parker Wells. Millions of Canadians hoped and prayed the missing 11-year-old would be discovered alive and well. That hope was shattered when police confirmed Parker's body had been found. Calgary Mayor Jeromy Farkas joins us (7:25) to reflect on the tragedy that gripped the city, the extraordinary community response, and what's next as investigators continue their work. Feature interviews on Real Talk are presented by Mercedes-Benz Edmonton West.  THIS EPISODE IS PRESENTED BY RapidEX FINANCIAL. THE CRYPTO WORLD MOVES FAST, AND YOUR TRUST IN AN EXCHANGE SHOULDN'T BE A GAMBLE. RapidEX IS SECURE, FINTRAC-REGISTERED, AND NON-CUSTODIAL. SAVE 50% ON FEES ON ONLINE INTERAC E-TRANSFER TRADES WITH PROMO CODE RYAN50 AT https://rapidexfinancial.com/. 21:00 | Calgary's sending certified forestry crews and specialized equipment to Edmonton, as Alberta's capital recovers from a series of destructive thunderstorms. Could this lead to stronger municipal cooperation across Canada?  31:00 | Real Talkers share their thoughts (and calls for more support) in the wake of Parker Wells' death. Real Talk's Live Chat is powered by Park Power.  SAVE on INTERNET, ELECTRICITY, and NATURAL GAS: https://parkpower.ca/ 42:10 | Pima County Sheriff Chris Nanos says FBI Director Kash Patel has "hurt the case" re: the disappearance of Nancy Guthrie, telling journalist Wyatt Sharpe Patel was "misinformed," and has not spoken to local law enforcement. Wyatt takes us behind the scenes of his remarkable interview with Sheriff Nanos.  SUBSCRIBE TO  @TheSharpeExchange  on YOUTUBE 52:30 | Animal rights protections are unravelling in Canada with industry lobbying winning out over animal welfare, says Jessica Scott-Reid. She takes us into her feature in The Globe & Mail. READ JESSICA'S STORY: https://www.theglobeandmail.com/opinion/article-canadas-progress-on-protecting-animals-is-unravelling/ FOLLOW JESSICA ON INSTAGRAM: https://www.instagram.com/jesslsr 1:14:30 | We've got ranchers in our Live Chat. We've got vegans in our Live Chat. Real Talkers, Jespo, and Johnny respond to Jessica's comments. 1:33:00 | Crazy Fast Eddy takes toilet talk to a whole new level with his climate change commentary, Sheldon D has questions about that $13B AI data centre, Gail says people are missing the point about the "Fuck Your Fascist Pancakes" movement, Tyler's got thoughts on our July 23 AI interview, AJ's sick of selfish hikers, and Neil's looking for balance on "restaurants closing" coverage in Edmonton. It's The Flamethrower presented by the DQs of Northwest Edmonton and Sherwood Park!  WHEN YOU VISIT THE DQs in PALISADES, NAMAO, NEWCASTLE, WESTMOUNT, and BASELINE ROAD, BE SURE TO TELL THEM REAL TALK SENT YOU!  REAL TALK'S LIVE STREAM IS PRESENTED BY CALIFORNIA CLOSETS. BOOK YOUR FREE CONSULTATION: https://californiaclosets.ca/ REAL TALK HIGHLIGHTS ARE PRESENTED BY KUBY ENERGY AND CANADIAN GREEN TECH. If you're looking for solar, visit https://kuby.ca/solar and Costco. SIGN UP for YEGplus, CANADA'S FIRST AIRPORT REWARDS PROGRAM: https://yegplus.com/realtalk SAVE 10% on ONLINE MEN'S CLOTHING PURCHASES at THE HELM with promo code REALTALK: https://thehelmclothing.com/ FOLLOW US ON TIKTOK, X, INSTAGRAM, and LINKEDIN: @realtalkrj & @ryanjespersen JOIN US ON FACEBOOK: @ryanjespersen REAL TALK MERCH: https://ryanjespersen.com/merch RECEIVE EXCLUSIVE PERKS - BECOME A REAL TALK PATRON: patreon.com/ryanjespersen THANK YOU FOR SUPPORTING OUR SPONSORS! https://ryanjespersen.com/sponsors The views and opinions expressed in this show are those of the host and guests and do not necessarily reflect the position of Relay Communications Group Inc. or any affiliates.

INTERVIEW: Gareth Thomas on solo single 'Lilly Knows Electricity" by Lily Jane on Radio One 91FM Dunedin

What does "off the grid" actually mean — and is anyone ever truly disconnected? In this episode of the Jon Myer Podcast, JD, founder of CommandProm, breaks down what life is really like living off-grid on unzoned land in the Rocky Mountains of Montana.JD walks through how a school-bus RV "snowbirding" habit turned into a permanent, mortgage-free life off-grid: buying raw land on a whim, converting a one-room cabin into a full living space, and building a solar power system from scratch — all without giving up modern tech like Starlink internet, an Xbox, a 4K TV, or even AC.

What does "off the grid" actually mean — and is anyone ever truly disconnected? In this episode of the Jon Myer Podcast, JD, founder of CommandProm, breaks down what life is really like living off-grid on unzoned land in the Rocky Mountains of Montana.JD walks through how a school-bus RV "snowbirding" habit turned into a permanent, mortgage-free life off-grid: buying raw land on a whim, converting a one-room cabin into a full living space, and building a solar power system from scratch — all without giving up modern tech like Starlink internet, an Xbox, a 4K TV, or even AC.

The UK is heavily exposed to global energy markets and has some of the highest electricity prices in Europe. At the same time, vast amounts of heat generated across industry and infrastructure go unused. Whether it should be called "waste" is a matter of debate, but could making better use of the energy we already produce be one of the biggest untapped opportunities in the energy transition? This week, Michael Liebreich is joined by Jonathan Maxwell, founder and CEO of SDCL, a specialist investment firm focused on energy efficiency. They explore why energy efficiency should be treated as a strategic resource, why “waste” heat could become one of Europe's most overlooked energy resources, and how Europe and the UK can strengthen its energy resilience following renewed tensions in the Strait of Hormuz.   They discuss the economics of gas versus electricity, the rapid growth of AI-driven data centres and their power requirements, and how long-term infrastructure investment can help build a more resilient, affordable and efficient energy system. Topics covered in this episode: The Strait of Hormuz and Europe's energy security The UK's energy system and the cost of electrification Gas versus electricity pricing Debating “waste” heat and energy efficiency AI, data centres and growing power demand Powering and cooling next-generation infrastructure Infrastructure investment and portfolio management Europe's energy transition beyond the AI boom Leadership Circle: Cleaning Up is proud to be supported by its Leadership Circle. The members are Actis, Alcazar Energy, Arup, Copenhagen Infrastructure Partners, Cygnum Capital, Davidson Kempner, EcoPragma Capital, EDP, Eurelectric, the Gilardini Foundation, KKR, Mitsubishi Heavy Industries, National Grid, Octopus Energy, Quadrature Climate Foundation, Schneider Electric, SDCL and Wärtsilä. For more information about the Leadership Circle, visit cleaningup.live Links: Jonathan Maxwell's bio: https://www.linkedin.com/in/jonathan-maxwell-a121a533/ Jonathan on Cleaning Up 2024: https://www.youtube.com/watch?v=vN2YWPqBPHk Jonathan on Cleaning Up 2023: https://www.youtube.com/watch?v=1OTbyOxYUpg Jonathan on Cleaning Up 2020: https://www.youtube.com/watch?v=Wqrtr2lePM8 Jonathan's substack: https://jonathanmaxwell.substack.com/ The Edge by Jonathan Maxwell: https://the-edge-book.com/product/the-edge-by-jonathan-maxwell/ SDCL: https://www.sdclgroup.com/ Ed Conway on Cleaning Up: https://www.youtube.com/watch?v=VhvEExdYeEU Robert Dunn on Cleaning Up: https://www.youtube.com/watch?v=juAyLAUmU3w  Subscribe to our newsletter: https://cleaninguppod.substack.com/  Acronyms: LNG: Liquified Natural Gas JCPOA: Joint and Comprehensive Plan of Action CHP: Combined Heat and Power PUE: Power Usage Effectiveness CCHP: Combined Cooling Heat and Power EBITDA: Earnings before interest, taxes, depreciation, and amortisation Chapters: 00:00 - Europe's Energy Security 05:11 - Strait of Hormuz Impact 15:39 - Electrifying the UK 23:14 - Gas vs Electricity 28:56 - Waste Heat Debate 32:14 - Powering Data Centres 42:20 - AI Investment 46:42 - Cooling Data Centres 52:16 - Managing Energy Assets 01:06:47 - Outro

Antares just closed a massive $470M Series C, was welcomed to the Oval Office by President Trump to celebrate becoming the first startup to achieve reactor criticality under the Department of Energy's reactor pilot program, and is now racing toward delivering the first commercial microreactors to the U.S. military. Just three years after being founded, the company expects to surpass $1B in defense contracts while attempting to restart America's nuclear industrial base. CEO Jordan Bramble joins Valley of Depth to unpack what it actually took to build and operate a nuclear reactor in under a year, why Antares believes the military (not hyperscale data centers) is the fastest path to commercial nuclear power, and how microreactors could fundamentally reshape everything from missile defense and remote military installations to space exploration. We also cover: Why achieving reactor criticality is a historic milestone for American nuclear energy How Antares compressed decades of nuclear development into a startup timeline Why the company chose defense as its beachhead market instead of AI data centers The manufacturing, regulatory, and supply chain strategy behind scaling microreactors How nuclear power could enable Golden Dome, space infrastructure, and the next era of national security • Chapters • 00:00 - Trailer 00:54 – Jordan at the White House 02:57 – What does criticality mean? 04:29 – How hard is reaching criticality? 08:48 – What $600M in fundraising will allow Antares to do 09:58 – How did Antares get to criticality first? 12:55 – How the government's approach to nuclear has changed since Jordan's time at the Office of Management & Budget 15:25 – How small modular reactors fit in the nuclear tech landscape 19:02 – Space-based civilian use cases for nuclear 20:57 – Antares's approach to fuel availability and supply chains 25:56 – Electricity in 2027 27:14 – Regulatory hurdles 30:12 – The production line Antares is building 31:33 – The road to 30 reactors a month 33:22 – The data center component 37:22 – Is it just a coincidence that 4 companies reached criticality by the July 4th deadline? 39:48 – How would an investor know if a nuclear company is on the right path? 43:09 – What would Jordan have done differently with Antares? 44:36 – What will Jordan be most proud of about Antares when he's 80?   • Show notes • Antares' website — https://antaresindustries.com/ Jordan's socials — https://x.com/jordanbramble Mo's socials — https://x.com/itsmoislam Payload's socials — https://x.com/payloadspace /  https://www.linkedin.com/company/payloadspace Ignition's socials — https://x.com/ignitionnuclear / https://www.linkedin.com/company/ignition-nuclear/ Tectonic's socials  — https://x.com/tectonicdefense / https://www.linkedin.com/company/tectonicdefense/ Valley of Depth archive — Listen: https://pod.payloadspace.com/   • About us • Valley of Depth is a podcast about the technologies that matter — and the people building them.  Brought to you by Arkaea Media, the team behind Payload (space), Ignition (nuclear energy), Decoding Bio (biotech) and Tectonic (defense tech), this show goes beyond headlines and hype. We talk to founders, investors, government officials, and military leaders shaping the future of national security and deep tech. From breakthrough science to strategic policy, we dive into the high-stakes decisions behind the world's hardest technologies. Payload: www.payloadspace.com Tectonic: www.tectonicdefense.com Ignition: www.ignition-news.com Decoding Bio: www.decodingbio.com

Three months out from Alberta's referendum, the campaign to keep the province in Canada is shifting into high gear. Forever Canadian founder Thomas Lukaszuk joins us in the Real Talk studio (3:00) before taking the Unity Bus back on the road. He explains why his organization isn't taking a position on Premier Danielle Smith's separation question. We also dig into concerns about foreign interference, the implications of Alberta's voter list leak, the cast of characters (and criminals) fronting the "leave" movement, and why First Nations leaders say Treaty rights are central to the referendum debate. Real Talk feature interviews are presented by Mercedes-Benz Edmonton West.  THIS EPISODE IS PRESENTED BY HANSEN DISTILLERY. ROOTED IN PRAIRIE GRIT AND A REBELLIOUS SPIRIT, HANSEN IS KNOWN FOR AUTHENTIC, SMALL-BATCH WHISKY AND OTHER SPIRITS CRAFTED WITH LOCAL ALBERTA INGREDIENTS. LEARN MORE: https://hansendistillery.com/ MBEW: https://www.mercedes-benz-edmontonwest.ca/ TELL US WHAT YOU THINK: talk@ryanjespersen.com  46:00 | Ahead of August Long Weekend, Jespo shares some of his favourite Jasper summer activities in a special edition of #MyJasper Memories presented by our friends at Tourism Jasper. PLAN YOUR JASPER ADVENTURE: https://www.jasper.travel/ 51:30 | Real Talkers have their say after the Lukaszuk interview in our Live Chat powered by Park Power. SAVE on INTERNET, ELECTRICITY, and NATURAL GAS: https://parkpower.ca/ 59:15 | Are you encouraged by the results from the Council of the Federation meetings in PEI? Alberta Chambers president and CEO Shauna Feth has her Eye on Alberta Business after attending the Chambers of the Federation meetings, also in PEI.  ALBERTA CHAMBERS of COMMERCE: https://www.abchamber.ca/ 1:25:00 | We jump back into the Live Chat, and Jespo offers a passionate response to pointed criticism from Real Talker IvanC (lol).  REAL TALK'S LIVE STREAM IS PRESENTED BY CALIFORNIA CLOSETS. BOOK YOUR FREE CONSULTATION: https://californiaclosets.ca/ REAL TALK HIGHLIGHTS ARE PRESENTED BY KUBY ENERGY AND CANADIAN GREEN TECH. If you're looking for solar, visit https://kuby.ca/solar and Costco. SIGN UP for YEGplus, CANADA'S FIRST AIRPORT REWARDS PROGRAM: https://yegplus.com/realtalk SAVE 10% on ONLINE MEN'S CLOTHING PURCHASES at THE HELM with promo code REALTALK: https://thehelmclothing.com/ FOLLOW US ON TIKTOK, X, INSTAGRAM, and LINKEDIN: @realtalkrj & @ryanjespersen JOIN US ON FACEBOOK: @ryanjespersen REAL TALK MERCH: https://ryanjespersen.com/merch RECEIVE EXCLUSIVE PERKS - BECOME A REAL TALK PATRON: patreon.com/ryanjespersen THANK YOU FOR SUPPORTING OUR SPONSORS! https://ryanjespersen.com/sponsors The views and opinions expressed in this show are those of the host and guests and do not necessarily reflect the position of Relay Communications Group Inc. or any affiliates.

For Wednesday 29 July 2026, Carl Munson's Good Morning Portugal! news highlights that the Portuguese passport retains its position as one of the world's most powerful, offering extensive visa-free access.Other headlines include Lisbon emerging as a top-tier European data-centre hub (driven by renewable energy and strategic location), AIMA shifting residence-permit renewals to an online portal, proposals for special courts to handle AIMA legal cases, calls for mandatory building insurance by condominium managers, lower electricity prices for regulated-market households, reduced fuel prices in the Azores, new elevators at key Lisbon Metro stations, foreign residents now eligible to donate blood, the new Lisbon airport projected to cost €8.5 billionFirefighting snapshot: Nearly 1,200 operatives with 368 vehicles and 3 aircraft currently tackling 28 active wildfires (https://fogosagora.pt/).Become a supporter of this podcast: https://www.spreaker.com/podcast/the-good-morning-portugal-podcast-with-carl-munson--2903992/support.Get help moving to and living in Portugal

Today, we're serving up rolling brownouts, data centers, dismay over Nebraskans getting off food stamps, and eggnog!

As consumers adopt penny-pinching habits to offset the rising cost of living, financial journalist Michelle Baltazar shares practical tips to stretch household budgets across groceries and energy. - Habang patuloy magkumahog para masabayan ang tumataas na cost of living, nagrekomenda ng mga praktikal na payo ang financial journalist na si Michelle Baltazar para makatipid sa grocery at kuryente.

Alberta separation. "Elbows Up". Wildfires and climate change. AI data centres. Media layoffs. Veteran broadcaster (now podcaster) Lynda Steele (3:45) gets into it all in our feature interview presented by Mercedes-Benz Edmonton West.  THIS EPISODE IS PRESENTED BY RapidEX FINANCIAL. THE CRYPTO WORLD MOVES FAST, AND YOUR TRUST IN AN EXCHANGE SHOULDN'T BE A GAMBLE. RapidEX IS SECURE, FINTRAC-REGISTERED, AND NON-CUSTODIAL. SAVE 50% ON FEES ON ONLINE INTERAC E-TRANSFER TRADES WITH PROMO CODE RYAN50 AT https://rapidexfinancial.com/. CHECK OUT LYNDA'S NEW PODCAST "CHANGE MY MIND": https://open.spotify.com/show/1oEou13SuTb3wCPwcXYpbk SUBSCRIBE TO LYNDA'S YOUTUBE CHANNEL:  @changemymindwithlyndasteele   TELL US WHAT YOU THINK: talk@ryanjespersen.com 1:09:00 | Real Talkers tell us where they stand on AI data centres in our Live Chat powered by Park Power. SAVE on INTERNET, ELECTRICITY, and NATURAL GAS: https://parkpower.ca/ REAL TALK'S LIVE STREAM IS PRESENTED BY CALIFORNIA CLOSETS. BOOK YOUR FREE CONSULTATION: https://californiaclosets.ca/ REAL TALK HIGHLIGHTS ARE PRESENTED BY KUBY ENERGY AND CANADIAN GREEN TECH. If you're looking for solar, visit https://kuby.ca/solar and Costco. SIGN UP for YEGplus, CANADA'S FIRST AIRPORT REWARDS PROGRAM: https://yegplus.com/realtalk SAVE 10% on ONLINE MEN'S CLOTHING PURCHASES at THE HELM with promo code REALTALK: https://thehelmclothing.com/ FOLLOW US ON TIKTOK, X, INSTAGRAM, and LINKEDIN: @realtalkrj & @ryanjespersen JOIN US ON FACEBOOK: @ryanjespersen REAL TALK MERCH: https://ryanjespersen.com/merch RECEIVE EXCLUSIVE PERKS - BECOME A REAL TALK PATRON: patreon.com/ryanjespersen THANK YOU FOR SUPPORTING OUR SPONSORS! https://ryanjespersen.com/sponsors The views and opinions expressed in this show are those of the host and guests and do not necessarily reflect the position of Relay Communications Group Inc. or any affiliates.

Artificial intelligence is changing how we work, how businesses grow and how countries compete. When you look back at history, every generation has a technology that changes everything. Steam. Electricity. The Internet. So technology transformation isn't new. But as we face the latest challenge, is the UK ready? In this series finale of The Green Room, we bring together experts from past episodes to explore what readiness really means. For people, for organisations and for the country as a whole. From skills and trust to energy, infrastructure and investment, this episode looks beyond the hype to the choices that will shape the UK's AI future. Tune in to find out: Why AI readiness is about more than technology How businesses can move from experimentation to adoption at scale Why trust, leadership and skills could decide how much value AI creates Why compute, energy and infrastructure are central to the UK's AI ambitions What it will take for people, businesses and regions across the UK to benefit This episode is the finale of The Green Room's series exploring the AI opportunity for the UK. Listen back to the full series wherever you get your podcasts, starting with our 100th episode: What will be the last job on earth? Visit our website to learn more about this topic and find suggestions for other episodes: deloitte.co.uk/greenroompodcasts Featuring guests: Anne-Marie Malley, Ben Legg, Bruce Daisley, Kate Sweeney, Sharon Hague, Oliver Seal, Mike Manby, Kate O'Neill, Julia Lo Bue-Said, Tom Astill, Simon McDougall, Avtar Benning, Caroline Brown, Tom Cope, Carol Yan and Tom Harris. Host: Jenny Haskel Original music: Ali Barrett This episode was recorded in London on 13 July 2026. Featuring clips from episode 94 (recorded November 2025) and episodes 100 to 106 (recorded between February and July 2026) – all recorded in London.

With smart meters more available and power rates rising, are campgrounds going to stop including the cost of electricity in your nightly stay? Jason takes a look at the issues involved. Plus misconceptions about RV manufacturers eliminating propane, and debunking some misleading headlines. In the interview portion, Remote Vans CEO Daryn Hillhouse joins us, along with new President Andrew Cooley, to talk about RV quality, pricing pressures, dealer relationships, and improving the customer buying and service experience. *Get links and more in the show notes at https://RVMiles.com/420 *Support RV Miles and independent RV journalism

What are the two hardest things in life to measure—and why does that simple question reveal so much about human nature?  In this entertaining episode of Kent Hance: The Best Storyteller in Texas, Kent Hance takes listeners on another unforgettable journey through history, humor, current events, and the timeless wisdom that has made him one of Texas' most beloved storytellers.  Using a classic saying as a launching point, Kent explores everything from small-town philosophy and life lessons to international affairs, education, personal responsibility, and the quirks of modern society. As always, his observations are packed with wit, common sense, and stories that will leave listeners laughing while giving them plenty to think about.  This episode features Kent's unique perspective on:  The wisdom hidden in everyday sayings and small-town characters  The lasting impact of the Korean War and its lessons for today  International headlines and global political challenges  How innovation creates unexpected business opportunities  Strange legal cases and unbelievable news stories from around the world  Why people often stay in jobs they don't enjoy  The importance of education, career preparation, and workforce opportunities  Consumer behavior, impulse buying, and modern decision-making  What international visitors really think about America  Along the way, Kent shares hilarious stories involving borrowed electricity, colorful Texas personalities, unusual animal encounters, and some of the most entertaining examples of human behavior you'll hear anywhere. His trademark storytelling style transforms everyday events into memorable lessons about life, leadership, and common sense.  Memorable Quotes  "The hardest thing to measure in life is love and electricity."  "He's late to the wreck. He can't get there fast enough."  Why You'll Want to Listen  Whether he's discussing history, education, innovation, or the funny side of human nature, Kent has a remarkable ability to connect big ideas with relatable stories. This episode captures everything listeners love about Kent Hance: The Best Storyteller in Texas—humor, wisdom, practical insights, and unforgettable storytelling. 

Artificial Intelligence is transforming the world... But there's one major problem almost nobody is talking about. Where is all the electricity going to come from? Every new AI model, hyperscale data center, semiconductor fabrication plant, and electric vehicle places an even greater strain on an aging U.S. power grid. Electricity demand is rising at its fastest pace in decades, yet much of America's energy infrastructure wasn't built for the world we're rapidly entering. The challenge isn't just producing more power—it's producing it reliably, affordably, and fast enough to keep up with an economy that's becoming increasingly dependent on electricity. In today's episode, we'll take a deep dive into the future of America's energy market and explore the technologies and industries that may define the next decade of investing. We'll discuss: Why AI and data centers are causing electricity demand to surge The growing strain on America's aging power grid Whether nuclear power is poised for a major comeback Why natural gas may remain the bridge fuel for years to come The role of renewables, battery storage, and next-generation energy technologies Which companies and sectors stand to benefit from the massive wave of infrastructure investment We'll also answer the most important question for investors: How can you position your portfolio to profit from one of the largest infrastructure buildouts in decades? From utilities and pipeline operators to uranium producers, power equipment manufacturers, and grid infrastructure companies, the energy transition is creating opportunities far beyond traditional oil and gas. Because the next great investment theme may not be artificial intelligence itself... It may be the energy required to power it. Listen now:

Chair Tawney discusses her path to being a regulator, the challenges and opportunities of meeting rising demand in Oregon, and how it relates to knitting!

Did Canada strike a smart deal with the U.S. over the Gordie Howe International Bridge, or give away too much? Supriya Dwivedi joins Jespo (3:00) to unpack the conflicting claims from Donald Trump and Mark Carney, and what the dispute reveals about the future of Canada-U.S. relations, in our feature interview presented by Mercedes-Benz Edmonton West. THIS EPISODE IS PRESENTED BY HANSEN DISTILLERY. ROOTED IN PRAIRIE GRIT AND A REBELLIOUS SPIRIT, HANSEN IS KNOWN FOR AUTHENTIC, SMALL-BATCH WHISKY AND OTHER SPIRITS CRAFTED WITH LOCAL ALBERTA INGREDIENTS. LEARN MORE: https://hansendistillery.com/ MBEW: https://www.mercedes-benz-edmontonwest.ca/ 29:00 | We recap the White House Correspondents' Dinner, including POTUS poking fun at Kaitlan Collins. Supriya gives us her takeaway from the First Ministers' Meetings in PEI (46:30), including Premier Doug Ford's comments about "dismantling the U.S." TELL US WHAT YOU THINK: talk@ryanjespersen.com 1:07:00 | Were you hit by that wild storm over the weekend? Real Talkers tell us about losing trees and fences in our Live Chat powered by Park Power.  SAVE on INTERNET, ELECTRICITY, and NATURAL GAS: https://parkpower.ca/ REAL TALK'S LIVE STREAM IS PRESENTED BY CALIFORNIA CLOSETS. BOOK YOUR FREE CONSULTATION: https://californiaclosets.ca/ REAL TALK HIGHLIGHTS ARE PRESENTED BY KUBY ENERGY AND CANADIAN GREEN TECH. If you're looking for solar, visit https://kuby.ca/solar and Costco. SIGN UP for YEGplus, CANADA'S FIRST AIRPORT REWARDS PROGRAM: https://yegplus.com/realtalk SAVE 10% on ONLINE MEN'S CLOTHING PURCHASES at THE HELM with promo code REALTALK: https://thehelmclothing.com/ FOLLOW US ON TIKTOK, X, INSTAGRAM, and LINKEDIN: @realtalkrj & @ryanjespersen JOIN US ON FACEBOOK: @ryanjespersen REAL TALK MERCH: https://ryanjespersen.com/merch RECEIVE EXCLUSIVE PERKS - BECOME A REAL TALK PATRON: patreon.com/ryanjespersen THANK YOU FOR SUPPORTING OUR SPONSORS! https://ryanjespersen.com/sponsors The views and opinions expressed in this show are those of the host and guests and do not necessarily reflect the position of Relay Communications Group Inc. or any affiliates.

Wisconsin's state FFA officer team is fresh off a leadership conference in Washington, D.C.. While learning the ropes to policy development was part of their goal, honing how to advocate for ag education and agriculture in general was also a major point. Cheryl Zimmerman, Executive Director of the Wisconsin FFA Association tells Pam Jahnke about the investment being made in these young leaders. No rain in sight. Not what a lot of Wisconsin farmers or gardeners want to hear. Stu Muck explains why we can't seem to wring a bit of moisture out of the atmosphere right now. Everybody likes to get a gift, and our Wisconsin agriculture teachers are no exception. Teri Barr explains how saying thank you to agriculture instructors and helping them start the new school year prepared, inspired a Pennsylvania company. Dairy Leaders of Tomorrow and the Dairy Excellence Foundation teamed up to offer anyone a chance to "gift" a box to an agriculture instructor anywhere. How much energy does the average 500 cow dairy operation use in a hot month like July? You might be surprised! Pam Jahnke talks with Matt Redetzke of No Joke Dairy in Stratford about that expense. It's just one motivating point that encouraged the hosts of this year's WI Farm Technology Days to partner with Focus on Energy. Kevin Weiler, one of four Focus on Energy advisors in the state says Marathon County has been taking advantage of the partnership! Paid for by Focus on Energy.See omnystudio.com/listener for privacy information.

Evan Ellis reports Cuba faces a severe humanitarian crisis with failing electricity, yet the communist regime maintains tight control. A recent State Department report labels Cuba the "capital of 21st-century communism," citing its subversion of Latin American democracies and involvement in left-wing political terrorism. Meanwhile, in Nicaragua, Daniel Ortega and Rosario Murillo have officially abolished future elections, claiming the opposition seeks to "capture power" through voting. This moves the country toward becoming a "hermit kingdom." (2)1880

China is manufacturing solar panels at a scale that has transformed the economics of the global market. High-efficiency panels leaving China are currently priced at roughly eleven cents per watt. Some domestic Chinese prices are even lower.That sounds extraordinarily cheap. But the panel is only one component of a solar installation.The proper analysis begins with the building's hourly electrical load, not its annual utility bill.Two buildings can consume the same amount of electricity annually and have very different solar economics. A warehouse operating primarily during daylight hours may consume solar power as it is generated. An apartment building may experience its highest common-area loads during the evening, after solar production has declined.Electricity consumed directly inside the building is usually more valuable than electricity exported to the grid. Export compensation can be materially lower than the retail price, depending on the utility tariff.So, is a ten-year break-even compelling?Usually, not by itself.A ten-year payback represents an approximate unlevered return of ten percent before degradation, maintenance, equipment replacement and execution risk. It may still make sense for an owner with a long holding period, a newly replaced roof, strong tax benefits and confidence that the building will remain occupied.A five-year break-even is different. That implies roughly a twenty-percent simple return before considering residual value. For a durable system producing predictable savings, that can be highly attractive.------------**Real Estate Espresso Podcast:** Spotify: [The Real Estate Espresso Podcast](https://open.spotify.com/show/3GvtwRmTq4r3es8cbw8jW0?si=c75ea506a6694ef1)   iTunes: [The Real Estate Espresso Podcast](https://podcasts.apple.com/ca/podcast/the-real-estate-espresso-podcast/id1340482613)   Website: [www.victorjm.com](http://www.victorjm.com)   LinkedIn: [Victor Menasce](http://www.linkedin.com/in/vmenasce)   YouTube: [The Real Estate Espresso Podcast](http://www.youtube.com/@victorjmenasce6734)   Facebook: [www.facebook.com/realestateespresso](http://www.facebook.com/realestateespresso)   Email: [podcast@victorjm.com](mailto:podcast@victorjm.com)  **Y Street Capital:** Website: [www.ystreetcapital.com](http://www.ystreetcapital.com)   Facebook: [www.facebook.com/YStreetCapital](https://www.facebook.com/YStreetCapital)   Instagram: [@ystreetcapital](http://www.instagram.com/ystreetcapital)  

As Alberta's independence referendum nears, there's a fundamental question most separatists (and arguably the provincial government) hasn't answered: what about First Nations' treaty rights? As a group of First Nations chiefs calls for an RCMP investigation into allegations of treason involving Danielle Smith, warning they're prepared to physically resist a separation referendum, journalist Brandi Morin (4:15) digs into who has the legal and moral authority to redraw Canada's map. Feature interviews on Real Talk are presented by Mercedes-Benz Edmonton West.  THIS EPISODE IS PRESENTED BY HANSEN DISTILLERY. ROOTED IN PRAIRIE GRIT AND A REBELLIOUS SPIRIT, HANSEN IS KNOWN FOR AUTHENTIC, SMALL-BATCH WHISKY AND OTHER SPIRITS CRAFTED WITH LOCAL ALBERTA INGREDIENTS. LEARN MORE: https://hansendistillery.com/ MBEW: https://www.mercedes-benz-edmontonwest.ca/ BRANDI'S SUBSTACK: https://indigenousinsider.substack.com/ 1:05:00 | Grande Prairie is re-launching photo radar enforcement, this time in-house. Mayor Jackie Clayton explains why, and updates us on the city's transition away from the RCMP.  TELL US WHAT YOU THINK: leave a comment below or email talk@ryanjespersen.com 1:18:00 | Real Talkers have their say on photo radar in our Live Chat powered by Park Power.  SAVE on INTERNET, ELECTRICITY, and NATURAL GAS: https://parkpower.ca/ 1:39:40 | Mikayla Resists, the inspiration behind the "Fuck Your Fascist Pancakes" meme, tells us why she confronted Premier Danielle Smith in that pancake breakfast line.  1:45:15 | It's an all-Ambassador edition of The Flamethrower, as Real Talkers James from Ontario, Fat Dave, Julie, Anne, Joe from Alliston formerly Airdrie, Robert, and Keith sound off on our July 20 interview with Pete Hoekstra. The Flamethrower is proudly presented by the DQs of Northwest Edmonton and Sherwood Park.  THE NEXT TIME YOU VISIT DQ IN PALISADES, NAMAO, NEWCASTLE, WESTMOUNT, OR BASELINE ROAD, BE SURE TO TELL 'EM REAL TALK SENT YOU!  REAL TALK'S LIVE STREAM IS PRESENTED BY CALIFORNIA CLOSETS. BOOK YOUR FREE CONSULTATION: https://californiaclosets.ca/ REAL TALK HIGHLIGHTS ARE PRESENTED BY KUBY ENERGY AND CANADIAN GREEN TECH. If you're looking for solar, visit https://kuby.ca/solar and Costco. SIGN UP for YEGplus, CANADA'S FIRST AIRPORT REWARDS PROGRAM: https://yegplus.com/realtalk SAVE 10% on ONLINE MEN'S CLOTHING PURCHASES at THE HELM with promo code REALTALK: https://thehelmclothing.com/ FOLLOW US ON TIKTOK, X, INSTAGRAM, and LINKEDIN: @realtalkrj & @ryanjespersen JOIN US ON FACEBOOK: @ryanjespersen REAL TALK MERCH: https://ryanjespersen.com/merch RECEIVE EXCLUSIVE PERKS - BECOME A REAL TALK PATRON: patreon.com/ryanjespersen THANK YOU FOR SUPPORTING OUR SPONSORS! https://ryanjespersen.com/sponsors The views and opinions expressed in this show are those of the host and guests and do not necessarily reflect the position of Relay Communications Group Inc. or any affiliates.

On Aug. 1, electricity prices are set to go up in New Hampshire, and the Boston Hunters women's baseball league kick off their inaugural season.

Demand for electricity in the mid-Atlantic region is growing faster than supply, putting pressure on prices. the results of the most recent procedure used to ensure a reliable grid. A system wide fare increase took effect this week for riders of RabbitTransit.  Executive Director Richard Farr says the changes affect Capitol region, Gettysburg, Shippensburg and Rork fixed route service, along with Rabbit Express, capital region commuter routes, stop hopper and shared ride services.Governor Josh Shapiro this week visited the YWCA for Carlisle and Cumberland County. the Governor highlighted nearly doubled state funding for rape crisis centers included in this year's approved budget.Two men have been charged in connection with a $52 million COVID-19 tax credit fraud conspiracy. Christopher Slater, of California, was indicted by a grand jury in Harrisburg.PennDOT has announced the awarding of 1.1 million dollars to 16 schools and transportation providers in 19 counties. The funds will be used to enhance school bus safety, including the training of 430 new school bus drivers. It's been one year since public media's federal funding was revoked. Thanks to our community, we're still here for you and looking toward the future. Join the thousands of members who are building a stronger WITF. Go to www.witf.org/givenow. And thank you.

Before science was invented, things were confusing. And, to be fair, for several decades into the birth of science, it was still confusing. Don't believe us? Check out Scientific American magazines from the late 1800s — especially this one article about scientists tasting Mezcal and Tequila for the first time. Agave Road Trip is a critically acclaimed, award-winning podcast that helps gringx bartenders better understand agave, agave spirits, and rural Mexico. This episode is hosted by Lou Bank with special guest Linda Sullivan‍ ‍of seynasecreto. Episode Notes Read Scientific American, No. 1096,January 2, 1897, for the source of the epic quote in this episode: Not only does the maguey plant give the sap for the drink pulque, but its roots , distilled, yield much more powerful intoxicants, mescal and tequila. And the heart of another variety of the same plant is cut out, roasted and put through a process of distillation to make still another drink. Mescal is described as tasting like a mixture of gasoline, gin and electricity, Tequila is even worse, and is said to incite murder, riot and revolution. A very small quantity of tequila is a drink. Experts advise it to be taken with a grain of salt, literally — the salt to be placed on the tongue first. Several Michigan editors who lately visited the sister republic wandered into a "cantina" in the city of Puebla one evening and called for a drink apiece of the tequila. Each took a taste, felt his hair stand erect, his toes curl up and his skin wrinkle all over his body and was wise enough to leave the glass unfinished. Not one of them wished that time that Providence had endowed him with greater capacity. Shout outs this episode to Jeppson's Malort, Vienna Beef hot dogs, Cocktail MD Ryan Aycock, and Metsal inventor, Enrique Martinez!

Plus, the US postal service is investigating the death of a Little Elm postal carrier, President Trump has a new warning for Iran, The Carrollton community is preparing to honor one of its own after Army Private First Class Isabella Gonzales was killed while serving overseas, and more!

The workplace is changing fast, and we're digging into it from two very different perspectives. First, we revisit the debate over Return to Office mandates (10:30) following our July 22 conversation on downtown vibrancy. Then, AI educator Ruth Orekogbe explains the skills and mindset that can help future-proof your career in the age of artificial intelligence. THIS EPISODE IS PRESENTED BY RapidEX FINANCIAL. THE CRYPTO WORLD MOVES FAST, AND YOUR TRUST IN AN EXCHANGE SHOULDN'T BE A GAMBLE. RapidEX IS SECURE, FINTRAC-REGISTERED, AND NON-CUSTODIAL. SAVE 50% ON FEES ON ONLINE INTERAC E-TRANSFER TRADES WITH PROMO CODE RYAN50 AT https://rapidexfinancial.com/. 37:00 | It's not just Canadians pushing back on Donald Trump's tariffs. We hear from Meidas Touch's Brett Meiselas and Congressman Adam Smith (along with B.C. premier David Eby) on the heels of our July 20 interview with Ambassador Pete Hoekstra.  TELL US WHAT YOU THINK: talk@ryanjespersen.com  47:20 | Are you concerned AI is going to take your job? Are you looking for the best way to integrate AI into your business? Are you starting from square one, using AI in your personal life? AI educator Ruth Orekogbe lays out her AI for All strategy and offers tips to AI-proof your career in our feature interview presented by Mercedes-Benz Edmonton West.  MBEW: https://www.mercedes-benz-edmontonwest.ca/ SAVE on INTERNET, ELECTRICITY, and NATURAL GAS: https://parkpower.ca/ TELL US WHAT YOU THINK: leave a comment below or email talk@ryanjespersen.com REAL TALK'S LIVE STREAM IS PRESENTED BY CALIFORNIA CLOSETS. BOOK YOUR FREE CONSULTATION: https://californiaclosets.ca/ REAL TALK HIGHLIGHTS ARE PRESENTED BY KUBY ENERGY AND CANADIAN GREEN TECH. If you're looking for solar, visit https://kuby.ca/solar and Costco. SIGN UP for YEGplus, CANADA'S FIRST AIRPORT REWARDS PROGRAM: https://yegplus.com/realtalk SAVE 10% on ONLINE MEN'S CLOTHING PURCHASES at THE HELM with promo code REALTALK: https://thehelmclothing.com/ FOLLOW US ON TIKTOK, X, INSTAGRAM, and LINKEDIN: @realtalkrj & @ryanjespersen JOIN US ON FACEBOOK: @ryanjespersen REAL TALK MERCH: https://ryanjespersen.com/merch RECEIVE EXCLUSIVE PERKS - BECOME A REAL TALK PATRON: patreon.com/ryanjespersen THANK YOU FOR SUPPORTING OUR SPONSORS! https://ryanjespersen.com/sponsors The views and opinions expressed in this show are those of the host and guests and do not necessarily reflect the position of Relay Communications Group Inc. or any affiliates.

Read more from VPM News:  Local governments grapple with spiking energy costs   Other links:  Chesapeake Bay Watershed Agreement delays decision on including Virginia's tribes (Inside Climate News)  VA-01 Democrats escalate dispute with state party over primary neutrality (Virginia Mercury)  Seibert's Towing seeks fuel surcharge as costs rise, asks for $250 fee to handle damaged electric vehicles (The Richmonder)  Virginia lawmakers call for probe into Albemarle schools handling of child sex abuse cases (29 News)  Documents reveal details on several data center projects in Petersburg's pipeline (Richmond BizSense)*  Youth rescue camp aims to inspire Virginia's next generation of first responders (Cardinal News)  *This outlet uses a paywall.  Our award-winning work is made possible with your donations. Visit vpm.org/donate to support local journalism. 

The Battle of Starfall continues! Will Sam remember their spells this week? Tune in to find out!   We encourage you to check out our Patreon and/or Ko-Fi, as they've got sweet sweet benefits and also you can help support your favorite show. AND Our Store is a thing, with all your t-shirts, tote bags, stickers and more!   Background music and sound effects: Burning Village, and Windswept Plains Tabletop Audio https://tabletopaudio.com   Quiet Theme #4 (Looped) Andrew Sitkov   Sepulcrum, Torus, Outriders, and Catoptricon Zak     Email us at PodAgainsttheMachine@gmail.com Remember to check out https://podagainstthemachine.com for show transcripts, player biographies, and more. Stop by our Discord server to talk about the show: https://discord.gg/TVv9xnqbeW Follow @podvsmachine on Bluesky Find us on Reddit, Instagram, and Facebook as well. Original music by Marllon Silva (xDeviruchi)

This week on the EPRI Current, we explore one of the energy sector's most recently debated questions: Are data centers driving up electricity rates?     Host Samantha Gilman is joined by Geoff Blanford and Asa Watten of EPRI's Energy Systems and Climate Analysis team to discuss new research examining the relationship between data center growth and consumer electricity costs. Drawing on a decade of data, they examine why the relationship between rising demand and rising rates may be more complex than many assume, and why, in some cases, load growth can help improve affordability by spreading grid costs across more customers.     The conversation also looks ahead to the future of AI-driven electricity demand, the challenges of building grid infrastructure fast enough to keep pace, and how flexible demand initiatives like EPRI's DCFlex could help balance reliability, affordability, and growth. Tune in for a data-driven discussion that challenges conventional wisdom and offers fresh insight into one of the industry's most important debates.     Read the full working paper:  https://arxiv.org/pdf/2606.19777   Summary and key insights available here: https://restservice.epri.com/publicattachment/98650   Explore related EPRI research:  Win-Win Watts: https://winwin.epri.com/  Energy Wallet: https://energywallet.epri.com/   DCFlex Initiative: https://dcflex.epri.com/

At least 15 Edmonton restaurants have closed in 2026 alone. What's going on? Restauranteurs Kristina Botelho (kb&co), Chris Decock (GRETA), and Nate Box (Fox Burger, District) give us the lay of the land in our feature interview (3:00) presented by Mercedes-Benz Edmonton West.  THIS EPISODE IS PRESENTED BY HANSEN DISTILLERY. ROOTED IN PRAIRIE GRIT AND A REBELLIOUS SPIRIT, HANSEN IS KNOWN FOR AUTHENTIC, SMALL-BATCH WHISKY AND OTHER SPIRITS CRAFTED WITH LOCAL ALBERTA INGREDIENTS. LEARN MORE: https://hansendistillery.com/ MBEW: https://www.mercedes-benz-edmontonwest.ca/ TELL US WHAT YOU THINK: talk@ryanjespersen.com  58:30 | The Wedewer family from Aberdeen, Saskatchewan shares the highlights of their Jasper summer adventure in a special edition of #MyJasper Memories presented by Tourism Jasper.  PLAN YOUR JASPER ADVENTURE: https://www.jasper.travel/ 1:04:15 | Canadian stocks are booming. What's the best play? Marshall McAlister's in from North Road Investment Counsel with a fascinating case study. NORTH ROAD INVESTMENT COUNSEL: https://www.northroadic.com/ 1:27:30 | Jespo and Johnny debrief after the Edmonton Restaurants Round Table and see what Real Talkers are saying in our Live Chat powered by Park Power.  SAVE on INTERNET, ELECTRICITY, and NATURAL GAS: https://parkpower.ca/ TELL US WHAT YOU THINK: leave a comment below or email talk@ryanjespersen.com REAL TALK'S LIVE STREAM IS PRESENTED BY CALIFORNIA CLOSETS. BOOK YOUR FREE CONSULTATION: https://californiaclosets.ca/ REAL TALK HIGHLIGHTS ARE PRESENTED BY KUBY ENERGY AND CANADIAN GREEN TECH. If you're looking for solar, visit https://kuby.ca/solar and Costco. SIGN UP for YEGplus, CANADA'S FIRST AIRPORT REWARDS PROGRAM: https://yegplus.com/realtalk SAVE 10% on ONLINE MEN'S CLOTHING PURCHASES at THE HELM with promo code REALTALK: https://thehelmclothing.com/ FOLLOW US ON TIKTOK, X, INSTAGRAM, and LINKEDIN: @realtalkrj & @ryanjespersen JOIN US ON FACEBOOK: @ryanjespersen REAL TALK MERCH: https://ryanjespersen.com/merch RECEIVE EXCLUSIVE PERKS - BECOME A REAL TALK PATRON: patreon.com/ryanjespersen THANK YOU FOR SUPPORTING OUR SPONSORS! https://ryanjespersen.com/sponsors The views and opinions expressed in this show are those of the host and guests and do not necessarily reflect the position of Relay Communications Group Inc. or any affiliates.

Donald Trump is threatening Canada with 50% tariffs, citing "discriminatory trade policies" on American booze, dairy, and automobiles. How should Canada respond? Is this just another negotiation tactic by an erratic U.S. President, or further degradation of the Canada-U.S. relationship? We get into it with political scientist Dr. Duane Bratt (3:45) and Bianca Parsons of the Alberta Food Processors Association (37:30) in feature interviews presented by Mercedes-Benz Edmonton West.  THIS EPISODE IS PRESENTED BY RapidEX FINANCIAL. THE CRYPTO WORLD MOVES FAST, AND YOUR TRUST IN AN EXCHANGE SHOULDN'T BE A GAMBLE. RapidEX IS SECURE, FINTRAC-REGISTERED, AND NON-CUSTODIAL. SAVE 50% ON FEES ON ONLINE INTERAC E-TRANSFER TRADES WITH PROMO CODE RYAN50 AT https://rapidexfinancial.com/. MBEW: https://www.mercedes-benz-edmontonwest.ca/ AFPA: https://www.afpa.com/ 1:19:00 | Real Talkers have their say on tariff threats and the closure of a bunch of Edmonton restaurants in our Live Chat powered by Park Power. SAVE on INTERNET, ELECTRICITY, and NATURAL GAS: https://parkpower.ca/ TELL US WHAT YOU THINK: leave a comment below or email talk@ryanjespersen.com REAL TALK'S LIVE STREAM IS PRESENTED BY CALIFORNIA CLOSETS. BOOK YOUR FREE CONSULTATION: https://californiaclosets.ca/ REAL TALK HIGHLIGHTS ARE PRESENTED BY KUBY ENERGY AND CANADIAN GREEN TECH. If you're looking for solar, visit https://kuby.ca/solar and Costco. SIGN UP for YEGplus, CANADA'S FIRST AIRPORT REWARDS PROGRAM: https://yegplus.com/realtalk SAVE 10% on ONLINE MEN'S CLOTHING PURCHASES at THE HELM with promo code REALTALK: https://thehelmclothing.com/ FOLLOW US ON TIKTOK, X, INSTAGRAM, and LINKEDIN: @realtalkrj & @ryanjespersen JOIN US ON FACEBOOK: @ryanjespersen REAL TALK MERCH: https://ryanjespersen.com/merch RECEIVE EXCLUSIVE PERKS - BECOME A REAL TALK PATRON: patreon.com/ryanjespersen THANK YOU FOR SUPPORTING OUR SPONSORS! https://ryanjespersen.com/sponsors The views and opinions expressed in this show are those of the host and guests and do not necessarily reflect the position of Relay Communications Group Inc. or any affiliates.

Andy Burnham unveils his new Labour Cabinet and scraps VAT on domestic energy bills — saving the average household just 86p a week. Julia Hartley-Brewer challenges Lord Foulkes over the Prime Minister's cost-of-living offer, defence spending, benefits reform and pledge to end rough sleeping. Tom Slater delivers his verdict on Burnham's “hope and change” agenda, Net Zero and Britain's soaring energy costs. Also, the latest on the death of Ann Widdecombe as Joshua Kerry is charged with murder. Julia Hartley-Brewer broadcasts on Talk from Monday to Thursday, 10AM to 1PM.Available on YouTube and streaming platforms, along with DAB+ radio and your smart speaker. Hosted on Acast. See acast.com/privacy for more information.

For this week's Ask the Expert, Andrea is joined by Darragh Cassidy from Bonkers.ie to answer all of your gas and electricity questions.

Canada's relationship with the United States is being tested like never before. Trade tensions, tariffs, defence spending, Arctic security, energy, and the rhetoric coming out of Washington, D.C. have left many Canadians asking what comes next. U.S. Ambassador to Canada Pete Hoekstra joins us for a wide-ranging conversation about the future of the Canada-U.S. relationship in an exclusive interview (1:30) presented by Mercedes-Benz Edmonton West. THIS EPISODE IS PRESENTED BY HANSEN DISTILLERY. ROOTED IN PRAIRIE GRIT AND A REBELLIOUS SPIRIT, HANSEN IS KNOWN FOR AUTHENTIC, SMALL-BATCH WHISKY AND OTHER SPIRITS CRAFTED WITH LOCAL ALBERTA INGREDIENTS. LEARN MORE: https://hansendistillery.com/ MBEW: https://www.mercedes-benz-edmontonwest.ca/ 40:00 | Supriya Dwivedi joins Jespo to debrief after the Hoekstra interview. Real Talkers have their say in the Live Chat powered by Park Power. SAVE on INTERNET, ELECTRICITY, and NATURAL GAS: https://parkpower.ca/ TELL US WHAT YOU THINK: leave a comment below or email talk@ryanjespersen.com REAL TALK'S LIVE STREAM IS PRESENTED BY CALIFORNIA CLOSETS. BOOK YOUR FREE CONSULTATION: https://californiaclosets.ca/ SIGN UP for YEGplus, CANADA'S FIRST AIRPORT REWARDS PROGRAM: https://yegplus.com/realtalk SAVE 10% on ONLINE MEN'S CLOTHING PURCHASES at THE HELM with promo code REALTALK: https://thehelmclothing.com/ FOLLOW US ON TIKTOK, X, INSTAGRAM, and LINKEDIN: @realtalkrj & @ryanjespersen JOIN US ON FACEBOOK: @ryanjespersen REAL TALK MERCH: https://ryanjespersen.com/merch RECEIVE EXCLUSIVE PERKS - BECOME A REAL TALK PATRON: patreon.com/ryanjespersen THANK YOU FOR SUPPORTING OUR SPONSORS! https://ryanjespersen.com/sponsors The views and opinions expressed in this show are those of the host and guests and do not necessarily reflect the position of Relay Communications Group Inc. or any affiliates.

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

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

Electricity demand in the U.S. is climbing faster than the grid can comfortably absorb, driven largely by AI data centers that need power 24 hours a day, seven days a week. The U.S. power system needs all the reliable clean energy it can get, and once-forgotten geothermal energy is one such resource. In the 1960s, the United States was a world leader in building large-scale geothermal power plants, but during the fracking boom of the mid-2000s, drillers turned their attention to oil and gas. As wind, solar and batteries got cheaper, bankers and developers put their money into those resources. Geothermal development around the world had flatlined, until a new generation of geothermal developers and entrepreneurs borrowed the horizontal drilling techniques that powered the fracking boom and used them to make geothermal viable in far more geographies One of those entrepreneurs is Tim Latimer, Co-Founder and CEO of Fervo Energy. Fervo Energy is a geothermal developer using advanced drilling techniques from fracking in the oil and gas industry to make it easier to find and harness heat underground. In our conversation, recorded in December 2021, Tim told me about how he combined his expertise in oil and gas drilling with a dedication to solving the climate crisis, and used his experience to break open an overlooked renewable resource. Tim predicted the 2020s would be "the geothermal decade," noting that we can't transition to a zero-carbon grid without round-the-clock clean energy resources to supplement intermittent renewables. Geothermal offers that always-on feature needed now more than ever. We're revisiting this conversation now in celebration of what Fervo has accomplished: signing hundreds of megawatts of power purchase agreements with hyperscalers and utilities alike, and recently completing the largest IPO of any clean energy company. About Powerhouse Innovation and Powerhouse Ventures Powerhouse Ventures backs seed stage founders building the future power system across energy, infrastructure, and AI. If you are thinking about building something in this space, get in touch with our team. Powerhouse Innovation is a best in class consulting firm, powered by the strongest energy innovation network, data and team in our industry. We partner with world's leading corporations, investors, and utilities to source and evaluate disruptive startups shaping the future of energy and industry. To hear more stories of founders building our energy abundant future, hit the “subscribe” button and leave us a review.

with Brad Friedman & Desi Doyen

The demand for power is growing, but the grid can't handle it. Now, the governors of 11 Western states are trying to move forward with a $60 billion plan to upgrade transmission lines. Joel Ferry, Utah's commissioner of the Department of Natural Resources, joins us to explain what the plan would do.Then, many teachers say performance pay unfairly pits teachers against one another. But two new studies say it could benefit students. Chalkbeat's Matt Barnum breaks down the controversy.And, The Hollywood Reporter's Gary Baum shares what he found in an investigation into Objection, a tech startup backed by Peter Thiel that holds artificial intelligence tribunals to scrutinize journalism.See pcm.adswizz.com for information about our collection and use of personal data for sponsorship and to manage your podcast sponsorship preferences.NPR Privacy Policy

The Invisible Power of Global Data Centers. Simon Constable. Data centers represent the digital future, with Virginiahousing the world's highest concentration for the federal government. Despite accounting for over 4% of U.S. electricity usage, a quiz reveals that a quarter of Americans know nothing about these facilities. The U.K. holds the second-highest number of data centers globally. (14)

Golf courses and factories use just as much water and electricity as data centers, yet only the latter draws local protests and construction bans. Cato's Rikki Schlott sits down with Travis Fisher and Jennifer Huddleston to make the case for energy abundance and technological advancement over fearmongering and warn that moratoriums could hand China the AI edge. Hosted on Acast. See acast.com/privacy for more information.