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Nous sommes à Uruffe, en Meurthe-et-Moselle, village d'à peine 400 habitants au sein de la France rurale et croyante des années 1950. Le curé, Guy Desnoyers, jeune prêtre très investi dans la vie locale, entretient des relations avec plusieurs jeunes femmes du village, parfois abusives. Certaines tombent enceintes. Il les pousse alors à accoucher loin d'Uruffe, à abandonner leur enfant et à prétendre, à leur retour, qu'il est mort-né. En 1954, il rencontre Régine Fais, une ouvrière de 19 ans. À l'époque, la majorité est à 21 ans, elle est donc mineure. Elle tombe enceinte a son tour. Elle accepte de taire le nom du père, mais refuse d'abandonner son bébé. En décembre 1956, Guy Desnoyers lui donne rendez-vous. Le prêtre la rappelle, sort un pistolet et tire trois balles dans son dos et sa nuque. Il l'éventre ensuite pour extraire l'enfant a naître... une petite fille vivante, selon le médecin légiste. La voix du crime de cet épisode présenté par Maëwenn Le Coroller-Richard, c'est l'ancien magistrat Gilbert Thiel. Il est auteur de "Tu ne tueras pas", une enquête sur l'affaire du curé d'Uruffe, publié chez Mareuil éditions. Hébergé par Audiomeans. Visitez audiomeans.fr/politique-de-confidentialite pour plus d'informations.
Get Sam and Shaan's CEO lessons in one guide: https://clickhubspot.com/epmw Episode 857: Sam Parr ( https://x.com/theSamParr ) and Shaan Puri ( https://x.com/ShaanVP ) talk about the extreme behaviors of the most legendary CEOs. — Show Notes: (0:00) CEO Moves (2:49) Move 1: Option Drop (10:39) Move 2: Friction Removal Service (12:55) Move 3: 1-bit communication (19:35) Move 4: Single-tasking (23:18) Move 5: Continuous culling (26:05) Move 6: Reward failure (27:06) Move 7: Clone yourself (30:18) Alternative: Give up on greatness (also fine) (35:59) Just be great — Check Out Sam's Stuff: • Hampton (joinhampton.com): My community for founders. Average member does $25m/year. Many of the guests are members. Get after it...apply: http://joinhampton.com/mfm — Check Out Shaan's Stuff: • Shaan's weekly email - https://www.shaanpuri.com • Visit https://www.somewhere.com/mfm to hire worldwide talent like Shaan and get $500 off for being an MFM listener. Hire developers, assistants, marketing pros, sales teams and more for 80% less than US equivalents. • Mercury - Shaan uses Mercury across all of his companies. you can too: http://mercury.com/ Mercury is a fintech company, not an FDIC-insured bank. Banking services provided by Choice Financial Group, Column, N.A., Members FDIC • I run all my newsletters on Beehiiv and you should too + we're giving away $10k to our favorite newsletter, check it out: beehiiv.com/mfm-challenge My First Million is a HubSpot Original Podcast // Brought to you by HubSpot Media // Production by Arie Desormeaux // Editing by Ezra Bakker Trupiano /
Therapeutics, vaccines, Regeneron, will therapeutics replace vaccines?, the biotechnology industry, genetic engineering, Stanford, University of California at San Francisco (UCSF), the roll of the Bay area in biotech, advances in gene editing during the 1990s, mRNA and its links to therapeutics, Jesse Gelsinger, Bush II and bans on research, lipid nanoparticles (LNPs), the advent of synthetic biology, cell therapy, stem cells, embryonic stem cell controversy, CRISPR, CRISPR CaS9, Jennifer Dounda, Emmanuelle Cherpentier, Feng Zhang, Broad Institute, UC Berkeley, Intellia Therapeutics, CRISPR Therapeutics, Operation Warp Speed, Editas Medicine, Innovative Genomics Institute (IGI), Covid vaccines, why the Covid vaccines are more like a therapeutic, AI biotech, AlphaFold2, tech money piles into biotech post pandemic, Arc Institute, Vitalik Buterin, Big Pharma and its lack of involvement in therapeutics, Big Tech's entry into defense and healthcare, Peter Thiel, Thiel as the catalyst for modern therapeutic research, life-extension, Thiel's extensive investment in therapeutics and biotech, Jason Camm, Jim Mellon, Brexit, Thiel's lack of investment in CRISPRResourcesTrump on "miracle drugs":https://www.yahoo.com/news/article/trump-coronavirus-twitter-video-234914108.html?guccounter=1On the links between therapeutics and the Covid vaccineshttps://www.thelancet.com/journals/lancet/article/PIIS0140-6736(23)02444-3/fulltexthttps://pmc.ncbi.nlm.nih.gov/articles/PMC12179814/AI Biotechhttps://whatisbiotechnology.org/index.php/science/summary/aiBig Tech and AI biotechhttps://www.forbes.com/sites/richardnieva/2024/03/13/why-nvidia-google-and-microsoft-are-betting-billions-on-biotechs-ai-future/How funding for biotech has unfolded since the 2010shttps://www.fiercebiotech.com/biotech/how-healthy-exchange-ideas-rfk-jr-kicked-fdas-gene-therapy-pushThiel's Links to Biotechhttps://www.technologyreview.com/2015/03/16/168909/a-contrarian-in-biotech/https://sociallifemagazine.com/celebrities/bezos-thiel-longevity-investments/https://www.inc.com/jeff-bercovici/emerald-therapeutics-peter-thiel.htmlhttps://www.fiercebiotech.com/biotech/thiel-s-breakout-labs-fuels-four-new-life-science-companieshttps://alloytx.com/42-million-series-d-financing/https://www.wholesaleinvestor.com/epiaxis-therapeutics-peter-thiel-backed-peptilogics-enter-strategic-partnership/https://www.businessinsider.com/peter-thiel-funded-de-extinction-animal-resurrection-woolly-mammoth-2017-6https://www.sfgate.com/tech/article/synthego-after-raising-forced-bankrupcty-20331773.phpJason Camm's biohttps://www.berentx.com/companyMusic by: Keith Allen Dennishttps://keithallendennis.bandcamp.com/ Hosted on Acast. See acast.com/privacy for more information.
Timestamps:5:29 - Thiel's Hole Deported26:52 - Foreign Policy Round-up50:00 - CIA in OKBOMB/ Roger MooreWelcome to The Morning Dump, where we dive headfirst into the deep end of the pool of current events, conspiracy, and everything in between. Join us for a no-holds-barred look at the week's hottest topics, where we flush away the fluff and get straight to the substance.Please consider supporting my work- Patreon- https://www.patreon.com/nowayjose2020 Only costs $2/month and will get you access to episodes earlier than the publicNo Way, Jose! Rumble Channel- https://rumble.com/c/c-3379274 No Way, Jose! YouTube Channel- https://youtube.com/channel/UCzyrpy3eo37eiRTq0cXff0g My Podcast Host- https://redcircle.com/shows/no-way-jose Apple podcasts- https://podcasts.apple.com/us/podcast/no-way-jose/id1546040443 Spotify- https://open.spotify.com/show/0xUIH4pZ0tM1UxARxPe6Th Stitcher- https://www.stitcher.com/show/no-way-jose-2 Amazon Music- https://music.amazon.com/podcasts/41237e28-c365-491c-9a31-2c6ef874d89d/No-Way-Jose Google Podcasts- https://www.google.com/podcasts?feed=aHR0cHM6Ly9mZWVkcy5yZWRjaXJjbGUuY29tL2ZkM2JkYTE3LTg2OTEtNDc5Ny05Mzc2LTc1M2ExZTE4NGQ5Yw%3D%3DRadioPublic- https://radiopublic.com/no-way-jose-6p1BAO Vurbl- https://vurbl.com/station/4qHi6pyWP9B/ Feel free to contact me at thelibertymovementglobal@gmail.com#ThielsHole #MiloDeported #ThielDeportedMilo #PeterThielHole #DeportedByThiel #CIAinOKBOMB #OKBOMBCIA #CIAOklahomaBombing #OKCBombCIA #TatesCooked #WarRoomLeaked #TateWarRoomLeak #AndrewTateCooked #WarRoomTate #TateLeaked #ThielMiloCIA #OKBOMBCoverup #TateThielDump #WarRoomOKC #MorningDumpTate
They Buried the Name: ARPANET, LifeLog & the February 4th Hand-Off! Today is not a snack. Today is the whole animal. ARPANET. DARPA. LifeLog. TIA. Facebook. Thiel. In-Q-Tel. Palantir. Snowden. Flock. Data centers. And every time in American history the government said “we canceled it” and the machine just changed clothes.I am not here to tuck you in with “there's no document, so go back to sleep.” Absence of a press release is not innocence. It is the oldest trick in the building. They burned the MKUltra files too. Then we found the corners they missed.If you want the approved version, NPR already recorded it. If you want the version that assumes the state is a repeat offender, stay right here! Web Site: www.DontTreadonMerica.com https://linktr.ee/DontTreadonMerica Email the show: Donq@donttreadonmerica.com DTOM Store (Promo code DTOM for 10% off) Sponsors: www.makersmark.com Celsius Live Fit www.NordVPN.com Promo Code: DTOM www.alppouch.com/DTOM www.dubby.gg Promo code: DTOM Social Media: Don't Tread on Merica TV DTOM on Facebook DTOM on X DTOM on TikTok DontTreadonMericaTV DTOM on Instagram DTOM on YouTube
JOIN PATREON FOR EARLY UNCENSORED EPISODE RELEASES: https://www.patreon.com/JulianDorey CLIPPERS DISCORD: https://discord.gg/8QmWEKJ3BT FOLLOW JULIAN DOREY IG: https://www.instagram.com/julianddorey/ X: https://x.com/juliandorey FOLLOW JOEY DEEF IG: https://www.instagram.com/joeydeef/ X: https://x.com/TokeMalone JULIAN YT CHANNELS - SUBSCRIBE to Julian Dorey Clips YT: https://www.youtube.com/@juliandoreyclips - SUBSCRIBE to Julian Dorey Daily YT: https://www.youtube.com/@JulianDoreyDaily - SUBSCRIBE to Best of JDP: https://www.youtube.com/@bestofJDP ****TIMESTAMPS**** 00:00 - Joey Deef speaks on behalf of his fellow Chinese diaspora 1:31 - Julian thinks something will break here soon 2:28 - Deef's drone attacks 3:01 - Meta 5:02 - Bari Weiss covers up CBS Epstein Story 7:39 - Leon Black testimony coming 8:18 - Bari Weiss kamikaze bomber 9:26 - Hugh Hefner tried to expose Epstein to FBI (and they ignored him) 14:23 - The “Clout” of Epstein Files, according to British Socialite 15:54- Royal Fergie reached out to Kash Patel…in 2025 18:29 - Epstein funded Fergie's debts 20:16 - Fergie-Patel connection details 22:06 - How the Fergie Patel email went down (PURE SPEC) 25:14 - Guest Spotting in the Epstein Files 27:23 - What British Socialites do 28:32 - Kubrick's “Eyes Wide Shut” Dark Backstory & Theory 37:44 - Stanley Kubrick was tapped into another dimension 39:23 - CIA Director goes to Russia with Love 44:01 - Lindsey Graham's Afterlife 45:41 - Russia's “Human Rights Commissioner” 46:48 - “Semi-Routine” Trip to Russia amid Ukraine escalation 48:36 - Erik Prince bombing trap houses in Haiti & Hillary Clinton dance-a-thon 52:12 - CIA Galapagos Fishing Boat Drone Strikes 57:45 - The “Cool” Dictator & his relationship w/ human rights 59:10 - Christopher Nolan predicted society in Batman Trilogy 1:00:48 - Chinese cyberhack of DOJ, NASA, The Fed & US Government (DETAILS) 1:04:37 - The China-Nepal Food Disaster 1:07:08 - Meta $17.1 Billion Lawsuit settlement & New Rules for Kids Online 1:14:06 - The Slippery Slope Question & Constitutional Rights of Kids vs. Parents 1:17:36 - The 1990s AT&T Bill Precedent 1:18:56 - Flock CEO Doxxed 1:21:55 - Flock CEO Garrett Langley's Hilarious Privacy vs. Safety “Compromise” Proposal 1:26:34 - Alessi Allaman's City Council Moment vs. Flock in Florida 1:28:54 - Benn Jordan (Brilliantly) Spies on Flock 1:32:44 - The Dark Peter Thiel Ties to Flock 1:36:15 - Peter Thiel's Clavicular Ties & Deef tells Lee Cronin why Thiel is so shiny 1:38:24 - Hitting the Road CREDITS: - Host, Editor & Producer: Julian Dorey - COO, Producer & Editor: Alessi Allaman - https://www.youtube.com/@UCyLKzv5fKxGmVQg3cMJJzyQ - In-Studio Producer: Joey Deef Julian Dorey Podcast Episode 469 - Julian Dorey Music by Artlist.io Learn more about your ad choices. Visit podcastchoices.com/adchoices
If you want to understand how one of the most powerful and least visible men in the world arrived at a philosophy arguing that democracy is a failed experiment- his words, not Dov's- you need to understand the wound that preceded the framework. His name is Peter Thiel. There's a reasonable chance you haven't heard of him. That isn't an accident. Thiel co-founded PayPal. He was Facebook's first outside investor, turning $500,000 into more than a billion dollars. He co-founded Palantir, now embedded in the military, intelligence, and immigration enforcement infrastructure of the US, UK, Israel, and other governments. He's funded political careers, think tanks, legal institutes, and a movement designed to replace elected governance with something considerably less accountable. He's worth somewhere between five and ten billion dollars. And he operates almost entirely in the background. Because the background is where the real architecture gets built. This episode is not a political analysis of Peter Thiel. It is an examination, through thirty years of Dov Baron's work with the Emotional Source Code, of the specific biographical wound that produced the specific framework now operating at civilizational scale. Seven elementary schools across three continents. A mind of extraordinary intelligence processing the world at a different speed than everyone around it. A sexuality requiring concealment in every environment it moved through. That's not one wound. That's a compound fracture. And in this episode, Dov Baron shows you exactly what happens when a compound fracture is given five billion dollars and forty years to work with. . THE QUESTION TO CARRY Pink Floyd ends Money with the cash register sound coming back. The thing you thought you'd moved beyond. Back at the beginning. Still running. What's the instrument you've believed will finally solve the thing you haven't yet named? IN THIS EPISODE 00:00 Power and Wounds 00:52 Pink Floyd Money 02:32 Episode Framework 04:25 Who Is Peter Thiel 06:06 Unexamined Source Code 08:14 Thiel Childhood Displacement 10:33 Processing and Concealment 12:20 Designing the Tribe 14:10 When Money Mutates 16:06 Beyond the Evil Label 18:08 The Pattern to Notice 19:30 Closing Questions 19:52 Final Takeaways THE SERIES: WHAT DO YOU HAVE TO BELIEVE TO BELIEVE THAT? Episode 1: You Didn't Think It. It Was Thought For You. [URL] ABOUT DOV BARON Dov Baron has spent thirty years inside the rooms where leaders make decisions that shape organizations and the people inside them. He works at the intersection of the Emotional Source Code and the Emotional Meaning Architecture: the meaning running underneath every decision before it reaches conscious examination. Dov works with elite leaders quietly shaping industries, cultures, and nations. New episodes weekly. Dov Baron: https://DovBaron.com To inquire about the possibility of working privately with Dov: dov@dovbaron.com ABOUT THE POLYMATHIC PERSPECTIVE The Polymathic Perspective examines the emotional logic beneath power, culture, identity, and meaning. Together, we discover how psychological, cultural, and geopolitical patterns drive behaviors, not just in people, but in systems. If you've been told your curiosity is a liability, it's your greatest asset. RATE, REVIEW, SUBSCRIBE If this episode changed how you look at the frameworks built by the people currently shaping your world, please rate and review The Polymathic Perspective on Apple Podcasts. Share it with one person who has ever called someone powerful simply evil without asking what wound built the framework first. Connect with Dov Baron:https://DovBaron.comdov@dovbaron.comRate, review, and send this episode to the most thoughtful builder you know. That is how the algorithm finds the people who still ask why. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
Bill talks to journalist Gil Duran about his book, The Nerd Reich: Silicon Valley Fascism and the War on Democracy, arguing that a tech-driven oligarchy already wields outsized power through figures like Mark Zuckerberg, Peter Thiel, Jeff Bezos, and Elon Musk, including political donations to Donald Trump and lucrative government contracts. Duran describes the rapid expansion of AI-fueled data centers as a visible flashpoint driving bipartisan local backlash over land use, water, pollution, and electricity costs. He focuses on Thiel's long-running anti-democratic worldview, influenced by Thiel-backed thinker Curtis Yarvin into mainstream politics, including “Freedom Cities.” Duran warns crypto has become a “weapon of mass corruption,” criticizes Washington's reluctance to confront these forces, and calls for public organizing, curbing billionaire power, and resistance movements targeting surveillance and contractors like Palantir and Flock. You can get your copy of Gil's prescient book at Bookshop.org. Or paste this link into your browser: bit.ly/4qxH9gy .Today, Bill reminds of how important certain Senate races are to retake control of the government from Trump's unfettered corruption. Best way to help is donations to these Democratic candidates through the great Democratic fundraising platform, ActBlue.comSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
Timestamps:5:15 - Icebreaker Content20:22 - Foreign Policy Round-up45:11 - Trump Corruption1:20:25 - Temu Epstein1:49:37 - Thiel's Priest Pt 3Welcome to The Morning Dump, where we dive headfirst into the deep end of the pool of current events, conspiracy, and everything in between. Join us for a no-holds-barred look at the week's hottest topics, where we flush away the fluff and get straight to the substance.Please consider supporting my work- Patreon- https://www.patreon.com/nowayjose2020 Only costs $2/month and will get you access to episodes earlier than the publicNo Way, Jose! Rumble Channel- https://rumble.com/c/c-3379274 No Way, Jose! YouTube Channel- https://youtube.com/channel/UCzyrpy3eo37eiRTq0cXff0g My Podcast Host- https://redcircle.com/shows/no-way-jose Apple podcasts- https://podcasts.apple.com/us/podcast/no-way-jose/id1546040443 Spotify- https://open.spotify.com/show/0xUIH4pZ0tM1UxARxPe6Th Stitcher- https://www.stitcher.com/show/no-way-jose-2 Amazon Music- https://music.amazon.com/podcasts/41237e28-c365-491c-9a31-2c6ef874d89d/No-Way-Jose Google Podcasts- https://www.google.com/podcasts?feed=aHR0cHM6Ly9mZWVkcy5yZWRjaXJjbGUuY29tL2ZkM2JkYTE3LTg2OTEtNDc5Ny05Mzc2LTc1M2ExZTE4NGQ5Yw%3D%3DRadioPublic- https://radiopublic.com/no-way-jose-6p1BAO Vurbl- https://vurbl.com/station/4qHi6pyWP9B/ Feel free to contact me at thelibertymovementglobal@gmail.com#TrumpCorruption #TrumpFinancialSchemes #GillisTurnsOnTrump #ShaneGillisVsTrump #TrumpMoneyTrail #CorruptMAGAEmpire #TemuEpstein #KnockoffEpstein #DiscountEpstein #FakeEpsteinNetwork #TemuIslandBoys #BudgetEpstein #EpsteinKnockoffs #ThielsPriest #MoldbugExposed #CurtisYarvinFamily #MoldbugShadyPast #ThielAndMoldbug #YarvinFamilySecrets #PriestOfThiel
Julie Thiel, Founder of TTS Company, was interviewed by Doug Green, Publisher of TR Publications, in a podcast recorded August 11, 2026, about why traditional leadership training often fails to create lasting change—and how companies can give managers practical help when real-world leadership challenges arise. “Training as an event is not effective. It's just not effective. It doesn't work,” Thiel says, pointing out that leaders often leave a conference or training session energized, only to fall back into old habits once they return to the pressures of daily work. Thiel argues that leadership happens “one conversation at a time.” Managers may need to address an employee performance problem, mediate a conflict, discuss a promotion, coach a talented employee or manage their own emotional reaction—all while dealing with customers, deadlines and other pressures. The challenge is especially significant for growing technology companies, where strong technical employees are often promoted into management roles and suddenly expected to have advanced skills in coaching, feedback, conflict resolution, recognition and communication. Thiel discusses The Vault, TTS Company's leadership development community designed to move beyond one-time training. Available on desktop and as an app, The Vault provides short weekly leadership challenges, practical resources and ongoing coaching designed to help managers develop new habits and find guidance when they actually need it. Rather than waiting for the next conference or searching through an old training binder, a manager preparing for an interview, difficult conversation or coaching session can access relevant resources immediately. The conversation also explores TTS Company's broader fractional HR model. The company works with growing businesses that need ongoing HR expertise but may not require a full internal HR department, helping with employee issues, manager coaching, HR best practices, acquisitions and the added complexity that comes with growth. Learn more about TTS Company and The Vault at thettscompany.com.
Ohne Aktien-Zugang ist's schwer? Starte jetzt bei unserem Partner Scalable Capital. Mit eigenem KI-Chatbot, der dir alle Fragen rund ums Investieren beantwortet. Alle weiteren Infos gibt's hier: scalable.capital/oaws. EBM-Papst geht an Madison Air. NVIDIA bürgt für OpenAI. RTX kriegt Tomahawk-Deal. OHB baut 18 Satelliten. L3Harris feuert CEO. Micron profitiert von China-Chip-Verbot. Ferrari versteigert E-Auto für 40 Mio. $. Kushner spart Steuern. Thiel kauft Vista. Fugro (WKN: A3CRBN) kartiert den Meeresgrund für Windparks, Ölplattformen und Rechenzentren. US-LKW-Aktien boomen 2026: Knight-Swift (WKN: A2DW9M), Old Dominion (WKN: 923655), XPO (WKN: A1JHUP), JB Hunt (WKN: 885365), Schneider National (WKN: A2DPT6) sind alle über 30% im Plus. Woran liegt's? Wie weit geht's noch? Diesen Podcast vom 18.08.2026, 3:00 Uhr stellt dir die Podstars GmbH (Noah Leidinger) zur Verfügung. Learn more about your ad choices. Visit megaphone.fm/adchoices
Bible News Prophecy with Dr Bob Thiel and Steve Dupuie Do End-Time Prophecies Require a Rebuilt Jewish Temple? Dr. Bob Thiel joins Steve Dupuie on Bible News Prophecy to examine the Temple Institute, the history of the first and second temples, New Testament uses of the Greek words naos and hieron, Christians as the temple of God, end-time animal sacrifices, the abomination of desolation, and his conclusion that a physical Jewish temple is not required for biblical prophecy to be fulfilled. The Temple Institute and the Desire to Rebuild Steve Dupuie opens by asking whether Jewish groups currently want to build a temple. Dr. Bob Thiel identifies the Temple Institute as one such organization and discusses a newsletter that cites Deuteronomy 12:5–7 and asks supporters to help rebuild the temple. Thiel notes, however, that the quoted passage speaks about a chosen place of worship and sacrifice without explicitly requiring a temple building. The First and Second Temples in Biblical History Thiel reviews the history of Solomon's temple, its destruction by Babylon, the construction of the second temple after Cyrus's decree, Herod's later expansion, and the temple's destruction by Roman forces in AD 70. He connects the latter event with Jesus' prophecy in Matthew 24 that not one stone would remain upon another. The transcript itself cautions that these historical dates are preserved as stated by the speakers and should be independently verified when used as formal historical citations. Christians as the Temple of God When Steve asks whether a holy Jewish temple can be built in the present age, Thiel answers no. He turns to passages in 1 Corinthians and 2 Corinthians that describe believers as the temple of the Holy Spirit and the temple of the living God. In his interpretation, the New Testament identifies Spirit-filled Christians, including Christian Jews, as God's holy temple rather than a future Jewish building. Naos and Hieron: Two Greek Words for Temple Thiel distinguishes between two Greek words translated as “temple.” He says hieron usually refers to a physical temple complex, while naos may refer to the inner sanctuary, Christ's body, or the community of believers. He points to John 2, where Jesus says, “Destroy this temple, and in three days I will raise it up,” and the passage explains that He was speaking of His body. Thiel uses this distinction to support his view that prophetic references to God's temple need not describe a rebuilt Jewish structure. A Spiritual Building With Christ as the Cornerstone The discussion continues with Ephesians 2, where Christians are described as a building founded on the apostles and prophets, with Jesus Christ as the chief cornerstone. Thiel interprets the growing “holy temple in the Lord” as the church collectively rather than a physical sanctuary. He also draws on 1 Peter to describe Christians as a chosen generation, royal priesthood, holy nation, and special people. Christ's Sacrifice and the Question of Holiness Thiel argues that New Testament teaching about Christ's sacrifice makes a restored system of temple sacrifices unnecessary for Christians. Referring to Hebrews 9, he describes Christ as High Priest of a greater tabernacle not made with human hands. From this, he concludes that a Jewish religious building may be constructed, but it would not constitute God's holy temple in the New Testament sense. Animal Sacrifices Without a Temple Steve asks whether Daniel's end-time prophecies concerning sacrifices require a temple. Thiel says they do not. He cites biblical examples of sacrifices offered before Solomon's temple existed and after the first temple was destroyed but before the second temple was completed. According to Thiel, an altar, priestly leadership, religious implements, willingness, and government permission would be sufficient for sacrifices to resume. The Abomination of Desolation and the “Holy Place” The final discussion concerns Jesus' warning in Matthew 24 about the abomination of desolation standing in the holy place. Thiel emphasizes that Jesus said “holy place,” not “holy temple.” He refers to the Greek terms topos for “place” and hagios for “holy,” arguing that the phrase may describe a location rather than a particular building. He therefore rejects the assumption that this prophecy requires a rebuilt Jewish temple. Living as God's Holy People Thiel closes by urging Christians not to wait for a temple that, in his view, God would recognize as holy in this age. Instead, he says Christians themselves are called to be God's holy people and should live accordingly. The episode concludes with a reference to the Bible News Prophecy website and the Continuing Church of God's free literature.
Karches, Nora www.deutschlandfunk.de, Büchermarkt
Karches, Nora www.deutschlandfunk.de, Büchermarkt
Timestamps:5:07 - Icebreaker Content18:50 - Foreign Policy Round-up34:38 - Trump Fixer Takes DOJ Throne1:01:45 - Epstein Degeneracy1:27:07 - Thiel's Priest Pt 2Welcome to The Morning Dump, where we dive headfirst into the deep end of the pool of current events, conspiracy, and everything in between. Join us for a no-holds-barred look at the week's hottest topics, where we flush away the fluff and get straight to the substance.Please consider supporting my work- Patreon- https://www.patreon.com/nowayjose2020 Only costs $2/month and will get you access to episodes earlier than the publicNo Way, Jose! Rumble Channel- https://rumble.com/c/c-3379274 No Way, Jose! YouTube Channel- https://youtube.com/channel/UCzyrpy3eo37eiRTq0cXff0g My Podcast Host- https://redcircle.com/shows/no-way-jose Apple podcasts- https://podcasts.apple.com/us/podcast/no-way-jose/id1546040443 Spotify- https://open.spotify.com/show/0xUIH4pZ0tM1UxARxPe6Th Stitcher- https://www.stitcher.com/show/no-way-jose-2 Amazon Music- https://music.amazon.com/podcasts/41237e28-c365-491c-9a31-2c6ef874d89d/No-Way-Jose Google Podcasts- https://www.google.com/podcasts?feed=aHR0cHM6Ly9mZWVkcy5yZWRjaXJjbGUuY29tL2ZkM2JkYTE3LTg2OTEtNDc5Ny05Mzc2LTc1M2ExZTE4NGQ5Yw%3D%3DRadioPublic- https://radiopublic.com/no-way-jose-6p1BAO Vurbl- https://vurbl.com/station/4qHi6pyWP9B/ Feel free to contact me at thelibertymovementglobal@gmail.com#TrumpFixer #ToddBlanche #DOJThrone #BlancheAG #TrumpDOJ #FixerToAG #EpsteinDegeneracy #EpsteinFiles #EpsteinNetwork #JeffreyEpstein #EpsteinIsland #ClientList #ThielsPriest #CurtisYarvin #MenciusMoldbug #Moldbug #Neoreaction #DarkEnlightenment #PeterThiel #YarvinThiel
Timestamps:6:05 - Icebreaker Content18:38 - Foreign Policy Round-up41:01 - What the Flock55:25 - NM Sues DOJ Over Epstein Coverup1:16:45 - Thiel's Priest Pt1Welcome to The Morning Dump, where we dive headfirst into the deep end of the pool of current events, conspiracy, and everything in between. Join us for a no-holds-barred look at the week's hottest topics, where we flush away the fluff and get straight to the substance.Please consider supporting my work- Patreon- https://www.patreon.com/nowayjose2020 Only costs $2/month and will get you access to episodes earlier than the publicNo Way, Jose! Rumble Channel- https://rumble.com/c/c-3379274 No Way, Jose! YouTube Channel- https://youtube.com/channel/UCzyrpy3eo37eiRTq0cXff0g My Podcast Host- https://redcircle.com/shows/no-way-jose Apple podcasts- https://podcasts.apple.com/us/podcast/no-way-jose/id1546040443 Spotify- https://open.spotify.com/show/0xUIH4pZ0tM1UxARxPe6Th Stitcher- https://www.stitcher.com/show/no-way-jose-2 Amazon Music- https://music.amazon.com/podcasts/41237e28-c365-491c-9a31-2c6ef874d89d/No-Way-Jose Google Podcasts- https://www.google.com/podcasts?feed=aHR0cHM6Ly9mZWVkcy5yZWRjaXJjbGUuY29tL2ZkM2JkYTE3LTg2OTEtNDc5Ny05Mzc2LTc1M2ExZTE4NGQ5Yw%3D%3DRadioPublic- https://radiopublic.com/no-way-jose-6p1BAO Vurbl- https://vurbl.com/station/4qHi6pyWP9B/ Feel free to contact me at thelibertymovementglobal@gmail.com#WhatTheFlock #FlockStories #FlockingAround #FlockTales #WhatTheFlockIsThis #FlockChronicles #NMSuesDOJ #EpsteinCoverup #NewMexicoEpstein #DOJEpstein #EpsteinLawsuit #NMEpsteinSuit #JusticeForEpsteinVictims #ThielsPriest #MenciusMoldbug #CurtisYarvin #PeterThiel #NeoReaction #MoldbugDeepDive #ThielYarvin
Es gibt bis zu 200 €, wenn ihr Friends & Family zu Scalable Capital bringt! Das Ganze geht nur bis zum 31. August. Mehr Infos in der App oder auf scalable.capital/oaws. Und hier sind die Teilnahmebedingungen.Ölkonzerne verdoppeln Gewinne, Trump will was davon. Iran-Deal drückt Ölpreis. Bending Spoons kauft Airtable. USA pushen Coherent, Lumentum und Applied Optoelectronics. Caterpillar macht Rekord. Zalando & Spotify verlieren. Snap, Zebra & Wayfair gewinnen.Palantir (WKN: A2QA4J) wächst 80% und hat 47% operative Marge. Aber die Aktie steht beim 100-fachen Gewinn. Karp und Thiel verkaufen für hunderte Millionen. Kann das Wachstum die Bewertung rechtfertigen?Diesen Podcast vom 05.08.2026, 3:00 Uhr stellt dir die Podstars GmbH (Noah Leidinger) zur Verfügung. Learn more about your ad choices. Visit megaphone.fm/adchoices
While the podcast team is taking a Radical Sabbatical, Kim is interviewing authors of the books that have had a big impact on her in the past two years. In this episode, Kim speaks with Rob Lalka, the author of The Venture Alchemists - How Big Tech Turned Profits Into Power. In this episode of Radical Sabbatical, Kim sits down with Rob Lalka, author of Venture Alchemist, to study what the founders of Facebook, Google, and the “PayPal Mafia” were saying and writing before anyone was paying attention to them. They explore what separates the leaders who stayed grounded from the ones who didn't. They ask a hard question: does it matter if a leader got corrupted by too much money and power or if they started out bad to the bone? Every leader (indeed, every one of us) has good and bad inside. The one that wins is usually the one that gets fed. The question is whether the venture capital model feeds the good — or does it feed the bad, setting founders up to be corrupted by their own success? Kim and Rob explore the contrasting origins of major tech companies like Facebook and Google. They discuss the implications of Mark Zuckerberg's early actions (for example, an IM while in college with a friend who asked him how he got access to people's personal information and he replied “they trusted me, the dumb f–ks;”). What does it mean that Google's founders started out thinking Google would have to be a non-profit so that advertising wouldn't bias information but wound up selling trillions of ads? The conversation also delves into the impact of the PayPal Mafia and the controversial book by Thiel and Sachs, The Diversity Myth. Rob discusses the complexities of free speech and the implications of outlier behavior. He emphasizes the importance of moral leadership in corporate culture and critiques the philosophical influences of figures like Ayn Rand and Milton Friedman on business ethics. Rob expresses hope for the future, particularly through the potential of his students to create positive change in society. Books & Articles mention by Rob: George Packer - article in The Atlantic - The Venture-Capital Populist https://www.theatlantic.com/magazine/2026/06/david-sacks-crypto-ai-venture-capital/686941/ Max Chafkin - The Contrarian: Peter Thiel and the Rise of the Silicon Valley Oligarchs https://elmstreetbooks.com/book/9781984878557 Jimi Soni - The Founders: The Story of Paypal and the Entrepreneurs Who Shaped Silicon Valley https://www.amazon.com/dp/1501197266?lv=shuf&channelId=500&plpRedirect=mhFallback Guest Background: Rob Lalka is the author of The Venture Alchemists - How Big Tech Turned Profits Into Power. He is also the Albert R. Lepage Professor in Business and executive director of the Albert Lepage Center for Entrepreneurship and Innovation at Tulane University. He is on the board of directors of Blue Cross and Blue Shield of Louisiana, Public Democracy, Inc., and Venture For America in New Orleans. Previously, he served on the U.S. Secretary of State's policy planning staff and in the State Department's Office of Global Partnerships, was a director at Village Capital, and was a senior advisor at the Howard G. Buffett Foundation. CHAPTERS (00:40) Introduction to Alchemy and Venture Capital (03:04) The Power Dynamics in Business Models (05:33) Zuckerberg's Origin Story and Its Implications (07:40) The Contrast with Google's Founding Philosophy (09:47) The Role of Advertising in Business Models (12:43) The Historical Context of Business Practices (14:59) The Golden Spike and Economic Inequality (14:59) The Impact of the PayPal Mafia and Diversity Myth (22:00) The Controversy of Free Speech and Homophobia (25:07) Outlier Behavior and Its Implications (28:03) The Rape Issue and Its Consequences (30:27) Moral Leadership and Corporate Culture (33:08) Philosophical Influences on Business Ethics (40:30) Hope for the Future and the Role of Education Connect with the Radical Candor team: Website LinkedIn YouTube Keywords venture capital, alchemy, business models, Zuckerberg, Google, advertising, economic inequality, PayPal Mafia, diversity myth, entrepreneurship free speech, outlier behavior, corporate culture, moral leadership, business ethics, philosophy, education, AI Learn more about your ad choices. Visit megaphone.fm/adchoices
Digital, real, real, digital. It sounds simple, but it's rewriting how a warehouse gets designed.Joel Thomas has spent over a decade in the Intralogistics space and now leads OEM Sales Data Center and Life Sciences at Siemens. Markus Thiel just crossed the six month mark as Head of Intralogistics, after years on the manufacturing operations and supply chain side of the business.Chris caught up with both of them live in Atlanta during MODEX, over a Weiss beer and a pilsner at Halfway Crooks. They talk about what Intralogistics is, and how it's changed since the days of pallet jacks and conveyor belts.From there the conversation covers the industry engineer shortage, robotics, AGVs versus AMRs, why standardization is becoming such a hot topic among vendors, and what a warehouse looks like when it's designed digitally.In this episode, find out:How the day-to-day work of moving goods within a warehouse has changed over the past decadeThe shift to robotics, AGVs, and AMRs, and why orchestrating all of it is now the hard partWhy standardization is gaining ground even though flexibility with vendors used to be the priorityHow AI is being used to spot bottlenecks and predict maintenanceWhat edge computing means for a warehouseWhat it takes to build a digital twin, and why Siemens tests new technology in its own factory firstWhether a conveyor-less warehouse is realistic, and who's already exploring itWhy e-commerce has been the single biggest driver of growth in the industryWhat's next for the space, software-defined automation and the IT/OT layerEnjoying the show? Please leave us a review here. Even one sentence helps. It's feedback from Manufacturing All-Stars like you that keeps us going!Tweetable Quotes:"We want more individualized goods, and we want it faster and sooner, so that thing will not stop. It will further accelerate. It's great to see all the technology which is helping that development.” - Markus Thiel, Head of Intralogistics at Siemens“It was always about taking off your professional hat, and just being a person. Go out and talk to people and just introduce yourself. The one great thing that you can do in this industry is say, ‘Can I help?'” - Joel Thomas, Director of OEM Sales Data Center and Life Sciences at Siemens”If you asked me 7 years ago, I would say that Europe was way ahead when it came to automation technology. Now, I think the US has caught up, if not maybe surpassed it.” - Joel Thomas, Director of OEM Sales Data Center and Life Sciences at SiemensLinks & mentions:Siemens Intralogistics provides intelligent material handling tech that empowers intralogistics to meet demands and overcome challenges via AI-enhanced automation and sustainable design.MHI the nation's largest material handling, logistics and supply chain association - active since 1945.Halfway Crooks Beer is the Atlanta brewery where this episode was recorded, known for traditionally brewed lagers in the Summerhill neighborhood.Make sure to visit http://manufacturinghappyhour.com for detailed show notes and a full list of resources mentioned in this episode. Stay Innovative, Stay Thirsty.
“We take away the people bottlenecks that prevent companies from scaling.” In this Technology Reseller News podcast recorded at ChannelCon 2026, Julie Thiel and Grace Duwenhoegger of TTS Company discuss how growing MSPs can strengthen leadership, improve employee development and manage increasingly complex HR needs. TTS Company provides fractional HR and leadership development services for businesses that may not need a full internal HR department. Its services include employee handbooks, compensation reviews, performance management and ongoing executive-level HR guidance. Thiel says people management often becomes more difficult as a company grows beyond 30 or 40 employees. “As you grow, you are going to have to add more people,” Thiel says. “There is a need for a minimum level of structure and different types of HR support.” Leadership development in smaller doses TTS Company is also launching The Vault, an app-based leadership development community designed to replace traditional, one-time training sessions with continuous learning. The Vault provides weekly challenges, leadership training, practical resources and a question-and-answer feature that connects users with TTS Company. “A lot of HR training is intimidating, expensive and can take an entire day,” Duwenhoegger says. “The Vault makes ongoing development more accessible.” Rather than attending a seminar, receiving a binder and returning to old habits, users can access short lessons and practical guidance from a phone or computer when a specific workplace issue arises. The resource library includes guidance for interviewing potential leaders, preparing for performance conversations and managing other common employee challenges. “It is not a single event,” Thiel says. “Every week, you are getting new challenges and continuing to develop yourself.” The Vault is available on Google Play and desktop, with an iOS version planned. TTS Company is offering ChannelCon attendees 60 days of complimentary access. For smaller and family-owned MSPs, Thiel says formal HR practices may initially appear unnecessary. However, processes such as goal setting, coaching and performance reviews become increasingly important as the business expands. “Your team needs you to be a better leader,” she says. “It is best done in bite-sized experiences.” TTS Company is exhibiting at ChannelCon Booth 809. Visit TTSCompany.com to learn more.
The city's managing director, Adam Thiel, is stepping down. Is this connected to controversy over his military leave? And what exactly does the managing director do? KYW Newsradio's Mike DeNardo answers those questions and tells us who will be taking Thiel's place. LeBron James's decision to join the 76ers has electrified the city; we take a look at the potential economic impact to the region. Plus, we hear about an alleged hazing incident in Cheltenham, the current state of measles as vaccination rates decrease, and more of the week's biggest headlines from the KYW news team. 00:00 Rundown 02:00 Philadelphia Managing Director Adam Thiel departs, Carlton Williams to take his place 06:05 Cheltenham football players and coaches charged in locker room assault 12:15 Cha-ching! The “LeBron Effect” means $$ for Philly 17:58 Measles cases continue to rise in PA, especially Lancaster County 23:55 Transit funding advocates spend 24 hours on board SEPTA 29:35 How to help native species from your apartment with container gardening Listen to The Week in Philly, hosted by KYW Newsradio's Matt Leon, every Saturday at 5am and 3pm, and Sunday at 3pm and 9pm.
Politically Entertaining with Evolving Randomness (PEER) by EllusionEmpire
Send us Fan MailWe test Dr Bob Thiel's claim that Trump's second-term policies are producing predictable ripple effects across trade, Europe's security posture, and Middle East escalation. We also wrestle with COVID-era censorship, public health incentives, and why both parties keep missing the deeper consequences. • Dr Thiel's free book and his method of tracking predictions against mainstream sources • Tariffs and policies that accelerate de-dollarization and new trade alignments • Europe approving new trade deals and rearming for strategic autonomy • Protests, “strong leader” dynamics, and the pressure toward EU reorganization • Iran “maximum pressure,” neutralization, and emerging regional military blocs • WHO withdrawal as a future-risk decision alongside COVID censorship backlash • Nutrition, vitamin D, exercise, and why basic immune health became politicized • US debt growth, the Asia pivot, and allies losing trust in US guarantees • Media bias, multi-source news habits, and rebuilding agreement on basic facts Give a review on this podcast. Give a five star, and I want a good reason why it gets a five-star. And if it's four stars or lower, how can this podcast improve? Be specific.Follow Dr. Bob Thiel at ...YouTubehttps://www.youtube.com/@BibleNewsProphecyFacebookhttps://www.facebook.com/BibleNewsProphecy/Twitterhttps://x.com/cogwriterPinteresthttps://nz.pinterest.com/biblenewsradio/Substackhttps://biblenewsprophecy.substack.com/Check these sources outGround NewsNew PaperAll SidesOpensecretSupport the showSupport the showFollow your host atYouTube and Rumble for video contenthttps://www.youtube.com/channel/UCUxk1oJBVw-IAZTqChH70aghttps://rumble.com/c/c-4236474Facebook to receive updateshttps://www.facebook.com/EliasEllusion/LinkedInhttps://www.linkedin.com/in/eliasmarty/Some free goodiesFree website to help you and me https://thefreewebsiteguys.com/?js=15632463New Paperhttps://thenewpaper.co/refer?r=srom1o9c4glPodMatchhttps://podmatch.com/?ref=1626371560148x762843240939879000
Timestamps:5:25 - Icebreaker Content23:35 - Foreign Policy Round-up54:23 - Agent Epstein1:30:00 - Secret History of Polymarket Pt 5 (of Pt 1)Welcome to The Morning Dump, where we dive headfirst into the deep end of the pool of current events, conspiracy, and everything in between. Join us for a no-holds-barred look at the week's hottest topics, where we flush away the fluff and get straight to the substance.Please consider supporting my work- Patreon- https://www.patreon.com/nowayjose2020 Only costs $2/month and will get you access to episodes earlier than the publicNo Way, Jose! Rumble Channel- https://rumble.com/c/c-3379274 No Way, Jose! YouTube Channel- https://youtube.com/channel/UCzyrpy3eo37eiRTq0cXff0g My Podcast Host- https://redcircle.com/shows/no-way-jose Apple podcasts- https://podcasts.apple.com/us/podcast/no-way-jose/id1546040443 Spotify- https://open.spotify.com/show/0xUIH4pZ0tM1UxARxPe6Th Stitcher- https://www.stitcher.com/show/no-way-jose-2 Amazon Music- https://music.amazon.com/podcasts/41237e28-c365-491c-9a31-2c6ef874d89d/No-Way-Jose Google Podcasts- https://www.google.com/podcasts?feed=aHR0cHM6Ly9mZWVkcy5yZWRjaXJjbGUuY29tL2ZkM2JkYTE3LTg2OTEtNDc5Ny05Mzc2LTc1M2ExZTE4NGQ5Yw%3D%3DRadioPublic- https://radiopublic.com/no-way-jose-6p1BAO Vurbl- https://vurbl.com/station/4qHi6pyWP9B/ Feel free to contact me at thelibertymovementglobal@gmail.com#AgentEpstein #EpsteinAgent #JeffreyEpstein #EpsteinFiles #SecretEpstein #EpsteinIntelligence #Polymarket #SecretHistoryPolymarket #PolymarketSecrets #PeterThiel #Thiel #DARPA #ThielDARPA #PolymarketThiel #DARPAPolymarket #PredictionMarkets #EpsteinThiel #DeepStatePolymarket #SecretHistory #ThielEpsteinConnection
────────────────────────────────────────[00:01:03]Flock Is the Eyes, Data Centers Are the Brain, ICE Is the Hands — Trump's Order Calls Them Military InstallationsCameras, AI processing centers, and unidentified federal police are the three components of the domestic police state; Knight: for once that liar is telling the truth.────────────────────────────────────────[00:41:00]Flock Whistleblower Explains How to Remove a Camera — Company Is Brute-Forcing Installation Before IPOCut the cable and police are dispatched immediately; CEO admitted they install as fast as possible to inflate valuation before going public.────────────────────────────────────────[00:46:28]The Camera Is Not the Issue — the Network Is the Warrantless SearchEach camera is just the eye; the network maps your movements and makes that data available across municipalities without a warrant.────────────────────────────────────────[00:50:17]Flock Has Raised Nearly $1 Billion — From Andreessen Horowitz, Thiel's Founders Fund, and Y CombinatorBrute-force scale before an IPO is the business model; the same VC firms behind the surveillance state finance the AI data centers.────────────────────────────────────────[00:52:25]Blackburn's Kids Online Safety Act Uses the Same Justification as Flock — Protect Kids by Surveilling EveryoneTo protect kids, you make everyone prove their identity; then strip parents away so they can't protect their children and place kids with predators.────────────────────────────────────────[01:19:41]China Built Its Panopticon Through State Planning — America Built It Through HOA Fees, Municipal Contracts, and App Terms of ServiceCommercially disguised and less centralized; identical to China's result but responsibility is diffused and the Bill of Rights bypassed.────────────────────────────────────────[01:24:08]Harvey Silverglate: Most People Commit Three Felonies a Day — Flock Ensures None Go UndetectedThe law is so complex compliance is impossible; license plate surveillance makes every technical infraction observable and actionable.────────────────────────────────────────[01:27:59]142 Anti-Data-Center Protests Across 42 States Last Saturday — 86% of Americans Oppose Them in Their NeighborhoodsThe immediate concerns are real but secondary; the surveillance state purpose is the core issue protesters must not miss.────────────────────────────────────────[01:56:43]ICE Agents and Criminal Kidnappers Are Now Indistinguishable — Masked, No ID, No Uniform, Unmarked Vehicle, Camo PantsWhether it is an ICE agent or a criminal kit, the description is identical; the only difference is one calls itself the government.────────────────────────────────────────[01:57:45]McConnell Continues to Improve — Knight Compares It to SNL's Running Joke About Franco Being Valiantly DeadEMS veteran Andy: anyone found in that condition is either brain dead or dead; keeping a presumably dead man in office is a hallmark of authoritarian regimes. ──────────────────────────────────────── Money should have intrinsic value AND transactional privacy: Go to https://davidknight.gold/ for great deals on physical gold/silver For 10% off Gerald Celente's prescient Trends Journal, go to https://trendsjournal.com/ and enter the code “KNIGHT” For high quality made in America products go to HomeSteadProducts.shop and use promo code “Knight” for 10% off your purchases Find out more about the show and where you can watch it at TheDavidKnightShow.com If you would like to support the show and our family please consider subscribing monthly here: SubscribeStar https://www.subscribestar.com/the-david-knight-show Or you can send a donation throughMail: David Knight POB 994 Kodak, TN 37764Zelle: @DavidKnightShow@protonmail.comCash App at: $davidknightshowBTC to: bc1qkuec29hkuye4xse9unh7nptvu3y9qmv24vanh7Become a supporter of this podcast: https://www.spreaker.com/podcast/the-david-knight-show--2653468/support.
────────────────────────────────────────[00:01:03]Flock Is the Eyes, Data Centers Are the Brain, ICE Is the Hands — Trump's Order Calls Them Military InstallationsCameras, AI processing centers, and unidentified federal police are the three components of the domestic police state; Knight: for once that liar is telling the truth.────────────────────────────────────────[00:41:00]Flock Whistleblower Explains How to Remove a Camera — Company Is Brute-Forcing Installation Before IPOCut the cable and police are dispatched immediately; CEO admitted they install as fast as possible to inflate valuation before going public.────────────────────────────────────────[00:46:28]The Camera Is Not the Issue — the Network Is the Warrantless SearchEach camera is just the eye; the network maps your movements and makes that data available across municipalities without a warrant.────────────────────────────────────────[00:50:17]Flock Has Raised Nearly $1 Billion — From Andreessen Horowitz, Thiel's Founders Fund, and Y CombinatorBrute-force scale before an IPO is the business model; the same VC firms behind the surveillance state finance the AI data centers.────────────────────────────────────────[00:52:25]Blackburn's Kids Online Safety Act Uses the Same Justification as Flock — Protect Kids by Surveilling EveryoneTo protect kids, you make everyone prove their identity; then strip parents away so they can't protect their children and place kids with predators.────────────────────────────────────────[01:19:41]China Built Its Panopticon Through State Planning — America Built It Through HOA Fees, Municipal Contracts, and App Terms of ServiceCommercially disguised and less centralized; identical to China's result but responsibility is diffused and the Bill of Rights bypassed.────────────────────────────────────────[01:24:08]Harvey Silverglate: Most People Commit Three Felonies a Day — Flock Ensures None Go UndetectedThe law is so complex compliance is impossible; license plate surveillance makes every technical infraction observable and actionable.────────────────────────────────────────[01:27:59]142 Anti-Data-Center Protests Across 42 States Last Saturday — 86% of Americans Oppose Them in Their NeighborhoodsThe immediate concerns are real but secondary; the surveillance state purpose is the core issue protesters must not miss.────────────────────────────────────────[01:56:43]ICE Agents and Criminal Kidnappers Are Now Indistinguishable — Masked, No ID, No Uniform, Unmarked Vehicle, Camo PantsWhether it is an ICE agent or a criminal kit, the description is identical; the only difference is one calls itself the government.────────────────────────────────────────[01:57:45]McConnell Continues to Improve — Knight Compares It to SNL's Running Joke About Franco Being Valiantly DeadEMS veteran Andy: anyone found in that condition is either brain dead or dead; keeping a presumably dead man in office is a hallmark of authoritarian regimes. ──────────────────────────────────────── Money should have intrinsic value AND transactional privacy: Go to https://davidknight.gold/ for great deals on physical gold/silver For 10% off Gerald Celente's prescient Trends Journal, go to https://trendsjournal.com/ and enter the code “KNIGHT” For high quality made in America products go to HomeSteadProducts.shop and use promo code “Knight” for 10% off your purchases Find out more about the show and where you can watch it at TheDavidKnightShow.com If you would like to support the show and our family please consider subscribing monthly here: SubscribeStar https://www.subscribestar.com/the-david-knight-show Or you can send a donation throughMail: David Knight POB 994 Kodak, TN 37764Zelle: @DavidKnightShow@protonmail.comCash App at: $davidknightshowBTC to: bc1qkuec29hkuye4xse9unh7nptvu3y9qmv24vanh7Become a supporter of this podcast: https://www.spreaker.com/podcast/the-real-david-knight-show--5282736/support.
Esta semana nos metemos con la empresa más misteriosa y controversial de Silicon Valley: quién la fundó, por qué nació después del 11 de septiembre, y por qué hasta Nike, bancos y hoteles la usan sin que tú te enteres. Hablamos de misiles, de vigilancia ciudadana, de un dato sobre tu peso al nacer que te va a dejar helada, y de si Claude (sí, la IA con la que hablas todos los días) tiene o no las manos tan limpias como dice.¿Tú confiarías en un sistema que sabe más de ti que tu propia mamá? Dale play y cuéntanos.
── Interview 1: C.R. Wiley — St. Anthony's Guide to Surviving the AI Apocalypse ──────────────────────────────────────────[00:07:52]Pastors Who Use AI to Write Sermons Are Cheating Themselves and Their Congregation — Wiley Calls It a Disciplinary MatterIt inserts something between the pastor and his text; prayerful study of Scripture with his own people in mind is the calling; denominations should address it formally.────────────────────────────────────────[00:22:05]Wiley's Three Principles From St. Anthony: Go to the Analog, Discern the Spirits, Fight for Your BodyThe desert is no longer a location — it's the analog world; AI is a glorified calculator with nobody home; the internet of bodies is coming and you must refuse to become part of it.────────────────────────────────────────[00:25:17]Peter Thiel Compares Himself to Aragorn Using Palantir Against Sauron — Wiley Asked Afterward: Do You Have That Kind of Self-Mastery?Thiel argued private industry is always two steps ahead of government and functions as a restraint on the antichrist system; he explicitly rejected C.S. Lewis's Abolition of Man.────────────────────────────────────────[00:42:16]Thiel Equates Progress With Christianity — Calls Any Regulation of AI AntichristHe credited Christianity with the technological revolution; anyone who inhibits technological progress, including Pope Leo XIII, he considers antichrist; he praised Rushdoony's work on private education. ──────────────────────────────────────── ── Interview 2: Dr. Darrell Wolfe — DOD Protocol / Escape the Matrix ──────────────────────────────────────────[01:15:17]Trauma-Drama Chemical Dumps Happen 110-120 Times Per Day Since COVID — Up From 3 Per Month 75 Years AgoCortisol, adrenaline, and histamine are acidic; before COVID the body could recover; now most people never stop dripping stress hormones, creating chronic acidic inflammation.────────────────────────────────────────[01:16:16]There Is No Cancer — There Is Only Cellular Oxygen Suffocation Caused by InflammationNobel laureate Dr. Otto Warburg proved cancer is a 35% drop in cellular oxygen; cells switch to fermenting lactic acid to survive; the mutation narrative was designed to obscure this.────────────────────────────────────────[01:23:35]Children Are Now Medium Brown Inside at Age 10 From Chronic Inflammation — 75 Years Ago That Happened at 40Human tissue browns like meat in an oven; by age 30 most people are dark brown internally; Wolf says autopsists confirm it; inflammation is the fire, chronic chemical exposure is the fuel.────────────────────────────────────────[01:27:08]When Cellular Electrical Conductivity Drops 25%, Parasites Begin — at 35%, Cancer FollowsHealthy cells run at 0.04 volts; a 15% voltage drop cuts oxygen and creates pain; at 25% the body begins decomposing living tissue; at 35% cells switch metabolic pathways — that is cancer. ──────────────────────────────────────── Money should have intrinsic value AND transactional privacy: Go to https://davidknight.gold/ for great deals on physical gold/silver For 10% off Gerald Celente's prescient Trends Journal, go to https://trendsjournal.com/ and enter the code “KNIGHT” For high quality made in America products go to HomeSteadProducts.shop and use promo code “Knight” for 10% off your purchases Find out more about the show and where you can watch it at TheDavidKnightShow.com If you would like to support the show and our family please consider subscribing monthly here: SubscribeStar https://www.subscribestar.com/the-david-knight-show Or you can send a donation throughMail: David Knight POB 994 Kodak, TN 37764Zelle: @DavidKnightShow@protonmail.comCash App at: $davidknightshowBTC to: bc1qkuec29hkuye4xse9unh7nptvu3y9qmv24vanh7Become a supporter of this podcast: https://www.spreaker.com/podcast/the-david-knight-show--2653468/support.
── Interview 1: C.R. Wiley — St. Anthony's Guide to Surviving the AI Apocalypse ──────────────────────────────────────────[00:07:52]Pastors Who Use AI to Write Sermons Are Cheating Themselves and Their Congregation — Wiley Calls It a Disciplinary MatterIt inserts something between the pastor and his text; prayerful study of Scripture with his own people in mind is the calling; denominations should address it formally.────────────────────────────────────────[00:22:05]Wiley's Three Principles From St. Anthony: Go to the Analog, Discern the Spirits, Fight for Your BodyThe desert is no longer a location — it's the analog world; AI is a glorified calculator with nobody home; the internet of bodies is coming and you must refuse to become part of it.────────────────────────────────────────[00:25:17]Peter Thiel Compares Himself to Aragorn Using Palantir Against Sauron — Wiley Asked Afterward: Do You Have That Kind of Self-Mastery?Thiel argued private industry is always two steps ahead of government and functions as a restraint on the antichrist system; he explicitly rejected C.S. Lewis's Abolition of Man.────────────────────────────────────────[00:42:16]Thiel Equates Progress With Christianity — Calls Any Regulation of AI AntichristHe credited Christianity with the technological revolution; anyone who inhibits technological progress, including Pope Leo XIII, he considers antichrist; he praised Rushdoony's work on private education. ──────────────────────────────────────── ── Interview 2: Dr. Darrell Wolfe — DOD Protocol / Escape the Matrix ──────────────────────────────────────────[01:15:17]Trauma-Drama Chemical Dumps Happen 110-120 Times Per Day Since COVID — Up From 3 Per Month 75 Years AgoCortisol, adrenaline, and histamine are acidic; before COVID the body could recover; now most people never stop dripping stress hormones, creating chronic acidic inflammation.────────────────────────────────────────[01:16:16]There Is No Cancer — There Is Only Cellular Oxygen Suffocation Caused by InflammationNobel laureate Dr. Otto Warburg proved cancer is a 35% drop in cellular oxygen; cells switch to fermenting lactic acid to survive; the mutation narrative was designed to obscure this.────────────────────────────────────────[01:23:35]Children Are Now Medium Brown Inside at Age 10 From Chronic Inflammation — 75 Years Ago That Happened at 40Human tissue browns like meat in an oven; by age 30 most people are dark brown internally; Wolf says autopsists confirm it; inflammation is the fire, chronic chemical exposure is the fuel.────────────────────────────────────────[01:27:08]When Cellular Electrical Conductivity Drops 25%, Parasites Begin — at 35%, Cancer FollowsHealthy cells run at 0.04 volts; a 15% voltage drop cuts oxygen and creates pain; at 25% the body begins decomposing living tissue; at 35% cells switch metabolic pathways — that is cancer. ──────────────────────────────────────── Money should have intrinsic value AND transactional privacy: Go to https://davidknight.gold/ for great deals on physical gold/silver For 10% off Gerald Celente's prescient Trends Journal, go to https://trendsjournal.com/ and enter the code “KNIGHT” For high quality made in America products go to HomeSteadProducts.shop and use promo code “Knight” for 10% off your purchases Find out more about the show and where you can watch it at TheDavidKnightShow.com If you would like to support the show and our family please consider subscribing monthly here: SubscribeStar https://www.subscribestar.com/the-david-knight-show Or you can send a donation throughMail: David Knight POB 994 Kodak, TN 37764Zelle: @DavidKnightShow@protonmail.comCash App at: $davidknightshowBTC to: bc1qkuec29hkuye4xse9unh7nptvu3y9qmv24vanh7Become a supporter of this podcast: https://www.spreaker.com/podcast/the-real-david-knight-show--5282736/support.
Interview recorded - 21st of July, 2026On this episode of the WTFinance podcast I had the pleasure of welcoming back Mike Green. Mike Green is Chief Strategist and Portfolio Manager at Simplify Asset Management, and one of the most influential voices on market structure in finance today.During our conversation we spoke about the current situation in markets, the ever increasing leverage through ETF's, what this means for market structure, geopolitical impact and more. I hope you enjoy!0:00 - Introduction1:14 - Overview of the economy and markets?9:02 - Leverage in market12:26 - Hyperscalers fundraising 16:42 - Systemic credit risks?19:04 - Markets driving economy?21:46 - Strong economy24:56 - Geopolitical impact28:23 - China and BRICS29:55 - Plaza accord 2.0?35:00 - US rising vs China?38:52 - FED/treasury backstopping40:26 - Financial nihilism41:42 - One message to takeawayMichael has been a student of markets and market structure, for nearly 30 years. His proprietary research into the shift from actively managed portfolios and investment funds to systematic passive investment strategies has been presented to the Federal Reserve, the BIS, the IMF and numerous other industry groups and associations.Michael joined Simplify in April 2021 after serving as Chief Strategist and Portfolio Manager for Logica Capital Advisers, LLC. Prior to Logica, Michael managed macro strategies at Thiel Macro, LLC, an investment firm that manages the personal capital of Peter Thiel. Prior to Thiel, Michael founded Ice Farm Capital, a discretionary global macro hedge fund seeded by Soros Fund Management. From 2006-2014, Michael founded and managed the New York office of Canyon Capital Advisors, a $23B multi-strategy hedge fund based in Los Angeles, CA, where he established their global macro strategies, managing in excess of $5B of exposure across equity, credit, FX, commodity and derivative markets.In addition to his work as a market theorist and portfolio manager, Michael has been noted for his work as a public speaker and financial media participant. He is a graduate of the Wharton School at the University of Pennsylvania and a CFA holder.Michael Green - Substack - https://www.yesigiveafig.com/Twitter - https://twitter.com/profplum99LinkedIn - https://www.linkedin.com/in/michael-green-9a15142/Simplify - https://www.simplify.us/WTFinance -Instagram - https://www.instagram.com/wtfinancee/Spotify - https://open.spotify.com/show/67rpmjG92PNBW0doLyPvfniTunes - https://podcasts.apple.com/us/podcast/wtfinance/id1554934665?uo=4Twitter - https://twitter.com/AnthonyFatseas
Vandaag bespreken we het boek The age of extraction, van Tim Wu. De ondertitel is: How tech platforms conquered the economy and threaten our future prosperity Timothy Shiou-Ming Wu is a Taiwanese-American legal scholar who served as Special Assistant to the President for Technology and Competition Policy at the United States from 2021 to 2023. He is also a professor of law at Columbia University and a contributing opinion writer for The New York Times. He is known legally and academically for significant contributions to antitrust and communications policy, coining the phrase "network neutrality" in his 2003 law journal article, Network Neutrality, Broadband Discrimination. In the late 2010s, Wu was a leading advocate for an antitrust lawsuit directed at the breakup of Facebook. https://en.wikipedia.org/wiki/Tim_Wu Dit boek bestaat uit 4 delen: Understanding platform power The business of herding The dangers of centralized economic power An architecture of equality Het boek is opgebouwd rond de volgende centrale thema's: De opkomst van platformmacht: hoe techplatforms zoals Amazon, Google en Meta zich hebben ontwikkeld tot dominante economische spelers. De belofte en realiteit van het internet: de oorspronkelijke belofte van welvaart en democratie in de jaren '90 en '00, en hoe dit is omgeslagen in nieuwe economische klassen en autocratie. Extractie als bedrijfsmodel: hoe platforms aandacht, data en welvaart extraheren, en wat de gevolgen zijn voor gebruikers, werknemers en kleine bedrijven. De rol van monopolies en concentratie: hoe techgiganten concurrenten opkopen en markten domineren, met voorbeelden uit de gezondheidszorg, vastgoed en andere sectoren. De gevolgen voor democratie en samenleving: hoe deze ontwikkelingen bijdragen aan ongelijkheid, politieke polarisatie en de opkomst van autocratie. Een blik vooruit: voorstellen voor herstel van de balans, zoals strengere regulering, antimonopoliewetten en democratische controle over platforms. Tim Wu schetst in The Age of Extraction vijf centrale oplossingen om de macht van techplatforms te beteugelen en een eerlijkere economie te creëren. Deze zijn samengevat als volgt: Strengere antimonopoliewetten en handhavingWu pleit voor het actief aanpakken van monopolies en het voorkomen van marktconcentratie, bijvoorbeeld door het blokkeren van overnames die concurrentie uitschakelen. Hij wijst op het belang van het herstellen van eerlijke concurrentie, zodat nieuwe spelers kansen krijgen en consumenten, werknemers en kleine bedrijven niet worden uitgebuit. Democratische controle over platformsPlatforms moeten transparanter en democratischer worden bestuurd, met meer inspraak voor gebruikers, werknemers en andere stakeholders. Wu stelt voor om governance-structuren te herzien, zodat niet alleen aandeelhouders, maar alle betrokkenen invloed hebben op beslissingen die hen raken. Regulering van data-extractie en privacyWu benadrukt dat platforms nu onbeperkt data en aandacht kunnen extraheren. Hij bepleit strengere regels voor datagebruik, privacybescherming en het beperken van manipulatie via algoritmen. Consumenten moeten meer controle krijgen over hun eigen data. Herverdeling van economische waardeDe welvaart die platforms genereren, moet eerlijker worden verdeeld. Wu stelt voor om belastingstelsels aan te passen, zodat platforms een billijker bijdrage leveren aan de samenleving en kleine bedrijven en werknemers niet worden benadeeld. Publieke alternatieven en open infrastructuurWu pleit voor het ontwikkelen van publieke of coöperatieve alternatieven voor commerciële platforms, bijvoorbeeld op het gebied van sociale media, zoekmachines of betaalsystemen. Open standaarden en interoperabiliteit moeten worden gestimuleerd, zodat gebruikers niet gevangen zitten in gesloten systemen. Kernboodschap: Wu's oplossingen richten zich op het herstellen van de balans tussen innovatie, economische groei en sociale rechtvaardigheid, met nadruk op democratische controle, eerlijke concurrentie en het beperken van extractieve praktijken. Opvallende lessen uit het boek voor ons: 00:00 Intro van het boek en eerste indruk van Erno 02:10 Eerste indruk van Tom en de hoop op meer achtergrond over de invloed van Big Tech bij de Amerikaanse verkiezingen. 06:15 Sterke economische macht werd gezien als een bedreiging voor de democratie. 08:45 Oprichters van techbedrijven werden eerst als cool gezien, maar rond 2010 veranderde dit beeld. 12:05 Antitrust als oplossing om de macht van extreem grote en machtige bedrijven op te breken. 13:45 Hoe een bedrijf als Amazon mensen met lage prijzen naar een platform trekt, marktmacht wint en op het moment dat mensen geen kant meer op kunnen, verhoogt het de prijzen. 15:30 Idee dat we allemaal onze abonnementen van de grote platformen opzeggen om de macht af te breken door hun terugkerende inkomsten onder druk te zetten. 17:00 Hoe Big Tech de markt neutraliseert door concurrerende platformen of apps op te kopen. 19:20 Blitz scaling kort uitgelegd aan de hand van de Blitzkrieg, en de verrassing dat Elon Musk hier ontbreekt. 21:05 Thiel moedigt ieder techbedrijf aan om een monopolie na te streven. 24:05 Verschil tussen de strategie van Hidden Champions en de drang van techbedrijven om monopolist te worden. 26:05 De mentale druk op influencers op een platform om continu door te gaan om in beeld te blijven. 28:35 Het verslavende effect van de platformen op kinderen is bewust gecreëerd. 31:00 Dat technologie steeds meer gemak realiseert en bedrijven gebruikmaken van onze hang naar luidheid. 33:30 Je kunt de verantwoordelijkheid nauwelijks meer bij de consument neerleggen, de enige die kan reguleren is de staat. 36:05 Hoe artsen slaven worden van een bedrijf met behulp van software. 39:25 Beperking van de Amerikaanse auteur: Europese voorbeelden, zoals woningcooperaties, worden niet genoemd. 41:20 Geef de woningbouwcoöperaties weer hun oude rol. 42:50 De Europese gemengde economie wordt niet genoemd, maar die functioneert wel beter bij publieke goederen. 43:15 Uitleg hoe economische macht verschuift naar politieke macht. 50:15 De vijf oplossing van Tim Wu. 52:00 Het beperkte zicht is dat, als het bedrijfsleven maar beter functioneert, je dan de problemen hebt opgelost. 54:15 Met het heel zwaar belasten van de miljardairs zou het probleem ook kleiner worden. 55:05 De problemen van de technologieplatformen proberen op te lossen met meer technologie (AI en crypto). Bronnen die we genoemd hebben Vibe van Mistral (voorheen Le Chat) Nazimiljardairs – David de Jong #boekencast afl 66 Pierre Omidyar - Wikipedia - oprichter eBay MacKenzie Scott (ex-Bezos) - heeft zich ertoe verbonden minstens de helft van haar vermogen aan goede doelen te schenken. Abigail Disney - Wikipedia (kleindochter oprichter Disney) Jimmy Wales - Wikipedia (medeoprichter Wikipedia) Blitzscaling – Hoffman en Yeh #boekencast afl 17 Autoroutes en verkeersrapporten van Waze Zero to one boek - Thiel Reid Hoffman - Wikipedia Peter Thiel - Wikipedia Palantir Technologies - Wikipedia Alex Karp - Wikipedia - CEO Palantir Strijd tussen Trump en paus - NOS De onzichtbare hand - Bas van Bavel Over Tirannie – Snyder en Krug #boekencast afl 118 Over vrijheid – Timothy Snyder #boekencast afl 121 Hidden Champions van de 21e eeuw boek Elon Musk – Walter Isaacson #boekencast afl 94 Muskisme - Quinn Slobodian en Ben Tarnoff Sir Timothy John Berners-Lee - uitvinder van het internet, het URL systeem Here Comes Everybody - Clay Shirky Scott Galloway (hoogleraar) - Wikipedia De tijd van de oligarchen - Aldous Huxley Brave New World - Aldous Huxley Animal farm - George Orwell Winners take all - Anand Giridharadas Geld genoeg, maar niet voor jou – Thomas Bollen #boekencast afl 135 De Trias Economica boek - Zo krijgen we een economie zonder verborgen impact – Babette Porcelijn Luister naar deze aflevering Beluister hier ons gesprek over het boek The age of extraction . We vonden het een leuk boek over de groei en achtergronden van de platformen en hoe macht verschuift van de economie naar de politiek. Maar we zijn teleurgesteld over de voorstellen waarmee Tim Wu komt. Door de problemen in de markt op te lossen, met regulering van de markt en met technologie de platformproblemen aan te pakken. Niets om de problemen in de kern op te lossen. In een halfuur delen wij dit boek met jou. Een halfuur met kennis die je tot je neemt terwijl je wandelt, loopt of rijdt, bijvoorbeeld. Video van deze aflevering Bekijk ons gesprek op video https://youtu.be/RUko4jgpsQk https://youtu.be/RUko4jgpsQk In deze aflevering bespreken we het boek The age of extraction. Een leuk boek, met voorbeelden, met name uit de VS tenzij het te spannend wordt, bijvoorbeeld over de politieke macht en de afbraak van de democratie; dan zwijgt hij over de problemen in de VS. Hij mist goede oplossingen uit Europa en wil de problemen oplossen met antitrust en technologie. Proberen om de markt onder controle te krijgen, met vooral oppervlakkige oplossingen. Terwijl de geschiedenis, zeker in de VS laat zien dat de markt altijd voor winstmaximalisatie gaat en de burger geen schijn van kans heeft. Samenvatting (met hulp van AI) Transcript
────────────────────────────────────────[00:02:23]Moderna Launching an mRNA Cancer Vaccine — for Patients Who Already Have Metastatic CancerThe shot caused the cancer explosion; now programming immune-compromised patients to produce tumor proteins; control group gets a different mRNA — no placebo.────────────────────────────────────────[00:10:05]Scientists Warn Moderna's mRNA Cancer Vaccine May Itself Cause Tumor GrowthJessica Rose: undisclosed antigens prevent independent safety assessment; Dr. Hoecker: counterintuitive to promote a therapy that causes cancer; FDA will approve it anyway.────────────────────────────────────────[00:34:38]Whistleblower Doctor: Booster Interval Timed to Hit White Blood Cell Production While DownFirst dose cuts production by 50%; second drops it to 25%; booster carries 81 strands of foreign bacteria the weakened immune system cannot fight.────────────────────────────────────────[00:38:48]Acosta Gave Epstein a Sweetheart Deal Because He Was Told Epstein Was Intelligence — Ken Starr Then Became His Defense AttorneyThe same Starr who gave Clinton a pass became Epstein's lawyer; a victim who refused to speak was forced forward when DOJ published her name.────────────────────────────────────────[00:40:32]Trump Sent Ivanka as a Teenager to Brunel — Modeling Agent Later Convicted of Rape and PedophiliaBrunel trafficked women into debt bondage for Epstein; the Uzbek woman now speaking out was one of his victims; Brunel died in prison in 2022.────────────────────────────────────────[01:14:55]China Cut Oil Consumption to Prevent a Global Depression — Trump Appears to Be Trying to Create OneChinese foreign minister: the Strait was open before the war; US-Israel operations created the crisis; China offset 5% of the 20% lost by cutting its consumption.────────────────────────────────────────[01:21:11]After the Iran War, Both Sides Have Revealed Their Limits — Next Conflict Requires a Domestic TriggerUS and Israel cannot change Tehran by force; Iran cannot inflict critical damage; both will prepare for a conflict requiring something to happen on American soil.────────────────────────────────────────[01:25:07]Hegseth Asks Congress for $1.5 Trillion for a War Trump Already Declared WonSenator to Hegseth: unlimited bomb money while cutting food, healthcare, and farm support; Palmer Luckey is building autonomous Terminator drones with Thiel's money.────────────────────────────────────────[01:52:30]The Covenant With Moses Was Conditional — Israel Broke It and God Destroyed the Nation ForeverPalestine today is a devilish counterfeit; the Old Testament testifies of Christ, not an ethnic group or political state — fundamental error of Christian Zionism.────────────────────────────────────────[01:55:08]Trump Contradicts Himself in the Same Sentence — Desperate to Meet Iran, But Not ReadyIran's missiles change speed mid-flight defeating every US defense system; Trump blamed Jordan attack on Jordanians. ──────────────────────────────────────── Money should have intrinsic value AND transactional privacy: Go to https://davidknight.gold/ for great deals on physical gold/silver For 10% off Gerald Celente's prescient Trends Journal, go to https://trendsjournal.com/ and enter the code “KNIGHT” For high quality made in America products go to HomeSteadProducts.shop and use promo code “Knight” for 10% off your purchases Find out more about the show and where you can watch it at TheDavidKnightShow.com If you would like to support the show and our family please consider subscribing monthly here: SubscribeStar https://www.subscribestar.com/the-david-knight-show Or you can send a donation throughMail: David Knight POB 994 Kodak, TN 37764Zelle: @DavidKnightShow@protonmail.comCash App at: $davidknightshowBTC to: bc1qkuec29hkuye4xse9unh7nptvu3y9qmv24vanh7Become a supporter of this podcast: https://www.spreaker.com/podcast/the-david-knight-show--2653468/support.
────────────────────────────────────────[00:02:23]Moderna Launching an mRNA Cancer Vaccine — for Patients Who Already Have Metastatic CancerThe shot caused the cancer explosion; now programming immune-compromised patients to produce tumor proteins; control group gets a different mRNA — no placebo.────────────────────────────────────────[00:10:05]Scientists Warn Moderna's mRNA Cancer Vaccine May Itself Cause Tumor GrowthJessica Rose: undisclosed antigens prevent independent safety assessment; Dr. Hoecker: counterintuitive to promote a therapy that causes cancer; FDA will approve it anyway.────────────────────────────────────────[00:34:38]Whistleblower Doctor: Booster Interval Timed to Hit White Blood Cell Production While DownFirst dose cuts production by 50%; second drops it to 25%; booster carries 81 strands of foreign bacteria the weakened immune system cannot fight.────────────────────────────────────────[00:38:48]Acosta Gave Epstein a Sweetheart Deal Because He Was Told Epstein Was Intelligence — Ken Starr Then Became His Defense AttorneyThe same Starr who gave Clinton a pass became Epstein's lawyer; a victim who refused to speak was forced forward when DOJ published her name.────────────────────────────────────────[00:40:32]Trump Sent Ivanka as a Teenager to Brunel — Modeling Agent Later Convicted of Rape and PedophiliaBrunel trafficked women into debt bondage for Epstein; the Uzbek woman now speaking out was one of his victims; Brunel died in prison in 2022.────────────────────────────────────────[01:14:55]China Cut Oil Consumption to Prevent a Global Depression — Trump Appears to Be Trying to Create OneChinese foreign minister: the Strait was open before the war; US-Israel operations created the crisis; China offset 5% of the 20% lost by cutting its consumption.────────────────────────────────────────[01:21:11]After the Iran War, Both Sides Have Revealed Their Limits — Next Conflict Requires a Domestic TriggerUS and Israel cannot change Tehran by force; Iran cannot inflict critical damage; both will prepare for a conflict requiring something to happen on American soil.────────────────────────────────────────[01:25:07]Hegseth Asks Congress for $1.5 Trillion for a War Trump Already Declared WonSenator to Hegseth: unlimited bomb money while cutting food, healthcare, and farm support; Palmer Luckey is building autonomous Terminator drones with Thiel's money.────────────────────────────────────────[01:52:30]The Covenant With Moses Was Conditional — Israel Broke It and God Destroyed the Nation ForeverPalestine today is a devilish counterfeit; the Old Testament testifies of Christ, not an ethnic group or political state — fundamental error of Christian Zionism.────────────────────────────────────────[01:55:08]Trump Contradicts Himself in the Same Sentence — Desperate to Meet Iran, But Not ReadyIran's missiles change speed mid-flight defeating every US defense system; Trump blamed Jordan attack on Jordanians. ──────────────────────────────────────── Money should have intrinsic value AND transactional privacy: Go to https://davidknight.gold/ for great deals on physical gold/silver For 10% off Gerald Celente's prescient Trends Journal, go to https://trendsjournal.com/ and enter the code “KNIGHT” For high quality made in America products go to HomeSteadProducts.shop and use promo code “Knight” for 10% off your purchases Find out more about the show and where you can watch it at TheDavidKnightShow.com If you would like to support the show and our family please consider subscribing monthly here: SubscribeStar https://www.subscribestar.com/the-david-knight-show Or you can send a donation throughMail: David Knight POB 994 Kodak, TN 37764Zelle: @DavidKnightShow@protonmail.comCash App at: $davidknightshowBTC to: bc1qkuec29hkuye4xse9unh7nptvu3y9qmv24vanh7Become a supporter of this podcast: https://www.spreaker.com/podcast/the-real-david-knight-show--5282736/support.
“Every high performer has blind spots,” says Julie Thiel of TTS Company. In this Technology Reseller News podcast, Doug Green speaks with Julie Thiel of TTS Company about why coaching should not be reserved only for employees who are struggling. Thiel says managers often spend most of their time helping underperformers while assuming top employees already know they are doing well. That can be a mistake. High performers may be taking on the most difficult work, preparing for leadership roles or developing habits that will not serve them at the next level. “There's even more bang for the buck in a conversation with an achieving employee about what they can do to take it to the next level,” says Thiel. Thiel shares a lesson from her own career. Her manager told her that consistently working at 110 percent had helped her succeed as an individual contributor, but could lead to burnout if she carried the same approach into management. “You have to know when to pick good enough,” Thiel recalls. “Where do you do 60 percent, where do you do 80 percent, and where do you do 110 percent?” The podcast explores how managers can coach high performers without making the conversation feel like criticism. Thiel says leaders should make it clear that the employee's current work is strong, then explain that the discussion is about future potential, new responsibilities and the skills needed for the next stage of the employee's career. Trust is essential. These conversations work best when they are part of an ongoing relationship rather than a sudden meeting after months of limited communication. “Good leadership is one good conversation after another,” says Thiel. Thiel encourages managers to invest in people before they ask for help, identify strengths they may not see in themselves and open the door to new possibilities. TTS Company helps growing businesses remove people-related bottlenecks and supports larger HR departments with projects and added capacity. Thiel is also preparing to launch The Vault, a leadership development community offering ongoing training, practical challenges and peer support. Learn more at thettscompany.com.
Romans 12: 3-5: From Pieces to Purpose - Pastor Bryan Thiel-Aquilina (07/19/2026) by Word of Life Assembly of God
This week's video transcript summary is here. You can click on any bulleted section to see the actual transcript. Thanks to Granola for its software.There was an issue with this only going to paid subscribers, so sending it again. Apologies to those who get it twice. I appreciate being paid so feel free to upgrade if you enjoy TWTW.EditorialIntelligence: Who Owns it?This week the word “AI” feels too small.AI is a technology. Intelligence is its product. And if intelligence is the product, the question is no longer just: Which model is best? Who has the cheapest tokens? Who owns the weights? Who controls the data center? Those are important questions, but they are lower in the stack.The bigger question is simpler and more political:Who owns intelligence?That sounds abstract until you make it concrete. Intelligence is becoming something companies can capture, package, serve, meter, route, improve, and sell.It can write code, answer questions, design molecules, automate offices, run agents, draft legal work, advise scientists, serve consumers, and reshape workflows. It is not merely software. It is a general-purpose capability. And all humans could benefit from more of it.General-purpose capabilities have a habit of becoming public questions. But the default answer, that public good is best delivered by government, is the wrong answer in this context.The Product Is IntelligenceWe should stop talking about AI as a feature and start talking about intelligence as the universal thing that is delivered as an input to the world.Water is an input. Electricity is an input. Literacy is an input. Connectivity is an input. Once a society depends on them, access stops being optional. Nobody needs government to build every well, power plant, school, or network. But everybody understands that a civilization cannot be organized around less than universal and reliable access to foundational inputs.Intelligence is reaching that level of importance now that we all know it is real.Government should not own it, operate it, or develop it. Quite the opposite. Companies are the right actors to build fast, compete hard, improve models, serve customers, and discover the real use cases. Self-interest is a useful framing here. Markets are good at finding demand, reducing costs, and turning invention into services people actually use.Companies are the right operators, developers, and owners. But that does not settle the real question of who owns the benefits. That is an economic question.If intelligence becomes metered infrastructure, what happens to the value it creates?The Ownership StackThis week's articles keep circling the same issue from different directions but in the nature of ‘circling' never quite nail it.Jamin Ball's “Own Your Weights” starts with the enterprise version of the question. Owning a model file is not enough. The durable asset is the loop: the data flywheel, the evaluations, the reinforcement system, the workflow learning, and the operating context that lets capability compound.Benedict Evans' “Ways to Think About Token Pricing” adds the market layer. Tokens may become essential, abundant, and cheap, like mobile data. But being essential does not guarantee that the token layer captures the value. The money may move up the stack to whoever owns the workflow, the customer, the distribution, or the application.Alex Karp's fight with the labs, reported in “Alex Karp Is Saying What Every Angry CEO Is Thinking About AI”, is the same argument in sharper enterprise language. Companies are afraid that model providers will not just sell intelligence, but learn from customer workflows and then move into the markets where those workflows create value. The “All-in” group are echoing Karp's view.And “What Is Loop Engineering, and Who Owns It?” names the new contested terrain. The loop is where intelligence meets the world. Whoever owns the loop owns the learning. Whoever owns the learning owns the compounding asset.That is why “who owns intelligence?” is not a slogan. It is the question under the model layer, the application layer, the enterprise layer, and the economic layer.Because intelligence is the product, the tools creating it are fragmented and competitive. So there is no logic in trying to discuss this at the level of a single company or set of tools and models.The Old Promise Was That Commerce Would Tame PowerThe essays this week give the historical backdrop.Deirdre McCloskey, in “What Really Caused the Industrial Revolution”, argues that modern growth came not simply from capital accumulation, but from a change in permission: ordinary people were allowed to innovate, trade, build, and be honored for it.That matters because intelligence could be another expansion of permission. It could make more people capable of building, learning, creating, coding, researching, translating, selling, and coordinating. It could lower the cost of competence.But only if access is broad.Paul Krugman's “AI in an Age of Oligarchy” warns that the same technology lands differently in different political economies. A new general-purpose technology entering a broad, open, upwardly mobile society is one thing. The same technology entering a concentrated economy, with extreme wealth and weak counterweights, is another.Tim O'Reilly's Economist essay, “Elon Musk is building a form of capitalism that Adam Smith would hate”, makes the governance point more directly. The old liberal hope was that commerce would tame arbitrary power. Markets, boards, courts, shareholders, disclosure, and competition would discipline the prince.But what if the prince uses markets to escape discipline?Henry Farrell's “political economy of billionaire derangement” pushes the same point. Founder culture, monopoly ambition, peer rivalry, weak correction mechanisms, and vast private control can amplify appetites rather than restrain them.The danger with intelligence is not that companies build it. They should. Companies build it, meter it, use public tolerance and public infrastructure to scale it, learn from everyone who uses it. All of those things are inevitable and healthy. Market forces will sort out winners from losers. The real danger is that the winners treat all of the surplus produced as purely private.Metered Intelligence Creates SurplusIf metering is not the problem, what is?The problem is pretending that metered intelligence creates value only for the metering entity. Metering water is only tolerated as a public good. If the public were blackmailed by a private water company with the threat of no water we would all rebel.Once we understand that the product of AI is intelligence we can see that every time intelligence is used, there is the immediate transaction: the user pays, the provider serves.But there is also system value. Usage creates signals. Workflows reveal patterns. Prompts, corrections, failures, preferences, integrations, edge cases, and business processes all help define where intelligence is useful and how it should improve. Intelligence breeds intelligence.Even when customer data is contractually protected, the market learns. The platform learns where demand is. The product team learns which workflows matter. The ecosystem learns which jobs are vulnerable, which tasks are automatable, and which parts of the economy can be reorganized around machine intelligence.So the surplus is not born in a vacuum.It rests on public science, public education, public data exhaust, public law, public infrastructure, public energy systems, public tolerance for data centers, and billions of human interactions. It is served by companies, but it is not made only by companies.This is why “Americans Deserve a Dividend From AI Companies' Riches” belongs at the center of this week's issue. The detail can be debated. The principle is harder to dismiss. If intelligence becomes a new foundational resource, then some part of the wealth it creates should flow back to the people whose society makes it possible. Intelligence did not suddenly appear. AI is built on the entire history of human intelligence. It benefits from it and at the same time evolves it.Not Nationalization. A Human Wealth Fund.If intelligence belongs to everybody, some conclude that government ownership of intelligence is the right outcome.Governments are not well suited to build, operate, or improve intelligence. They will move too slowly, regulate too early, politicize the wrong things, and confuse economic participation with operational control.Andrew McAfee's “Why I Didn't Sign the AI Open Letter” is useful here. His objection is not that the technology is unimportant. It is that steering too hard before we understand the shape of the change can become its own failure mode. Marc Andreessen's satire of AI regulation is less policy than temperament, but it captures a real Silicon Valley fear: that regulation can become permission, capture, and incumbency before it becomes wisdom.That fear should be taken seriously.But it does not answer the economic question. It answers only the operational one.How can the economic benefits of intelligence be distributed? The better answer is a sovereign human wealth fund.Call it a sovereign wealth fund if you must, but the phrase is too national. Intelligence will not respect borders. The leading companies are global. The models, chips, data centers, agents, platforms, and workflows will be transnational from the beginning. If the value created by intelligence is global, then the mechanism for sharing some of that value should begin with the companies global enough to capture it. The nice thing about xAI, OpenAI, and Anthropic is that they are supranational.These companies own and operate intelligence. Let them compete. Let them profit. Let them keep the incentives that make the system improve. But if intelligence is the new water, the wealth it creates cannot belong only to the companies that meter it. And they, themselves, have the power to fix it, even more than governments.Access will become a Human Right; Ownership Is the Economic DesignThis is where human rights come in. There is no right to access an AI model, yet. But there will soon be a need to change that.Not as a claim that every person is entitled to every frontier model at every moment for free. That is not serious. Capacity has costs. Models have costs. Inference has costs. Data centers have costs. Although those costs will decline over time, possibly quite quickly as self-learning models address costs.The claim is more basic: in a world where intelligence becomes a primary input into education, work, health, science, citizenship, creativity, and economic agency, baseline access to intelligence starts to look like a civic requirement.That could mean public access layers. It could mean education credits. It could mean open models. It could mean AI dividends. It could mean public-interest compute. It could mean taxes on rents. It could mean a company-initiated human wealth fund that returns some of the upside to society without handing the operating system to the state. The latter could couple wealth growth with universal distribution of ownership.The exact mechanism matters. But the distinction matters more.Government should not own intelligence. It should be universally available. And people should have a claim on the wealth intelligence creates.The Frontier Is Also PhysicalThe abstraction is not weightless.“The Fight Against AI Data Centers Is Just Beginning”, “New York becomes the first state to enact a data center moratorium”, Reuters on pollution from Musk's xAI power project, and DataGravity's “Who Captures Value in AI Infrastructure?” all say the same thing from the ground up.Intelligence uses land. It uses power. It uses water. It uses chips. It uses grid capacity. It uses neighborhoods. It uses public patience.That makes the value question unavoidable. A society can accept the buildout if the buildout is legible as shared progress. It will resist it if the costs are local, the profits are private, and the benefits feel enclosed.Who Owns the “Loop”?The week ends where it began.“Anthropic and Blackstone” are betting that implementation is the next trillion-dollar business. “Vint Cerf” is working on identity for agents on the open internet. “GPT-Red” points toward systems that improve their own robustness. “Kimi K3” adds another open frontier model to the global mix.The model race continues. The deployment race is accelerating. The governance race is behind.My view is this:The central product of this era is intelligence. Companies have figured out how to capture it, package it, serve it, and meter it. That is good. It should stay in the hands of builders who have the incentive to make it better.But intelligence is too foundational to become just another private toll booth. A significant part of it will turn out to be free to users.As intelligence becomes a general-purpose resource, then access to it becomes a human-capability question, and the surplus from it becomes an economic-justice question. Not because government should run it. Because government should not run it. The operating layer belongs with companies. The wealth question belongs with everyone. But companies are best placed to turn that into a process of distribution.The question is not whether companies should build intelligence. They should.The question is whether humanity gets a stake in the wealth created by the thing that may soon become its most important shared input.Contents* Essays* Deirdre McCloskey on What Really Caused the Industrial Revolution* AI in an Age of Oligarchy* Elon Musk is building a form of capitalism that Adam Smith would hate* Murky Mirror: Truth and Consequences* The political economy of billionaire derangement* Is there any “oligarchy” to fight?* AI* Nearly 200 Economists and Tech Leaders Warn of A.I. Threats* Why I Didn't Sign the AI Open Letter* Own Your Weights* Ways to Think About Token Pricing* Alex Karp Is Saying What Every Angry CEO Is Thinking About AI* The AI Agents Are Coming for Microsoft Office* What Is Loop Engineering, and Who Owns It?* The Fight Against AI Data Centers Is Just Beginning* 6 months to live for open models* Americans Deserve a Dividend From AI Companies' Riches* Who Gets to Define the Frontier?* GPT-Red: Unlocking Self-Improvement for Robustness* Anthropic, Blackstone bet the next trillion-dollar AI business is implementation, not just models* Vint Cerf is working on a plan to unleash AI agents on the open internet* xai-org/grok-build, now open source* The Pulse: What can we learn from Bun's rapid Rust rewrite with AI?* Orphan risks at the frontier of artificial intelligence* The Lab of the Future Should Feel Like a Data Center* Why AMI Labs' Alexandre LeBrun won't call his AI “AGI” or “superintelligence”* Kimi K3 Tech Blog: Open Frontier Intelligence* Venture Capital* Three Years In* Venture Has Rarely Looked More Bifurcated* The Best Angel Investors in the US: Who Backs the Most Unicorns, and Who's Active Now* Are Prediction Markets Doomed to Fail?* Regulation* Exclusive: The Next Frontier of the Deportation Wars: College Campuses* The Supreme Court Broke Independent Agencies. Here's a Way to Slow the Damage.* India's crackdown on a new WhatsApp feature risks setting a global precedent* Let's build a children's public internet* Computer cops* Google is better at playing the AI regulations game* Infrastructure* Who Captures Value in AI Infrastructure?* New York becomes the first state to enact a data center moratorium* Pollution from Musk's unpermitted xAI power project hits hardest in Black communities* Interview of the Week* The End of the End of Geography* Startup of the Week* Radical AI's Joseph Krause: The Scientist Building The “Waymo” Lab For New Materials* Post of the Week* Marc Andreessen on AI RegulationEssaysDeirdre McCloskey on What Really Caused the Industrial RevolutionYascha Mounk and Deirdre McCloskey | Persuasion | July 11, 2026Yascha Mounk interviews Deirdre McCloskey about her argument that the modern world's economic liftoff came less from capital accumulation than from a change in ideas. McCloskey says both left and right versions of the conventional story rely too heavily on investment: the left stresses exploitation and surplus value, while the right stresses virtuous saving by capitalists. Her objection is historical and economic. Human beings had always invested, from irrigation works and Roman roads to seed grain, and simple accumulation quickly runs into diminishing returns.McCloskey's alternative is that northwestern Europe, first Holland, then Britain and Scotland, and then the North American colonies, developed a liberal ideology that changed who was allowed to innovate and be honored for it. The conversation links that shift to the erosion of inherited hierarchy, the spread of dignity for ordinary commercial life, and a moral vocabulary in which liberalism is not merely procedural but connected to virtues and values. The point is not that machines, coal, trade, and institutions did not matter, but that they do not explain the scale and timing of modern enrichment without a cultural permission structure for innovation.The interview also turns to the contemporary defense of liberalism. Mounk frames the series around the worry that liberalism is often treated as too thin to command allegiance, while its opponents speak more directly to moral passions. McCloskey's case is that liberal societies became rich because they dignified experimentation and ordinary enterprise, and that liberals need to recover the moral language behind that claim.Read moreAI in an Age of OligarchyPaul Krugman | Paul Krugman | July 12, 2026Paul Krugman frames AI as a major technological shock arriving inside an already unequal political economy. The post says AI's economic and social effects may take years to understand, but argues that the setting matters now: America has much greater wealth concentration and political inequality than it did in the 1950s and 1960s, when progressive taxation, stronger regulation, and more active antitrust might have contained some of the destructive effects of a new technology.Krugman's opening claim is that the same technology would likely have different consequences in a more level society. In today's United States, he writes, extreme wealth is both a cause and effect of policies that favor a small elite, including low effective taxes on capital and high incomes, weak enforcement of worker protections and antitrust, and cuts to programs that benefit ordinary Americans.The article is explicitly more about oligarchy than AI. Krugman says the paid sections document the rise of the “.0002%,” the economics and politics of extreme wealth, how oligarchy will shape AI's impact, and possible policy paths. His caveat is that AI itself may still produce a pushback against oligarchy, but absent that, he expects the pre-existing concentration of wealth and power to magnify AI's downsides.Read moreElon Musk is building a form of capitalism that Adam Smith would hateAuthor: Tim O'Reilly Published: July 12, 2026Tim O'Reilly argues that Elon Musk is using the legal forms of shareholder capitalism to escape the restraints that shareholder capitalism was supposed to impose. The article begins with SpaceX's public-market structure: ordinary public investors get little meaningful governance power, Musk keeps roughly 85 percent of the votes through super-voting shares, buyers waive jury trials and class actions, the company qualifies as controlled, and removal of Musk depends on the share class he controls. In O'Reilly's framing, that is not ordinary founder control; it is a design for being answerable to no one, possibly beyond Musk's own lifetime.The killer detail is the article's turn through Albert Hirschman, Montesquieu, James Steuart, Adam Smith, and Keynes. Older defenses of commerce held that markets would tame princely passions because the self-interest of merchants was safer than arbitrary rule. O'Reilly says Musk reverses that hope. The market discipline that was supposed to cage the prince has become the lever by which the prince raises capital, removes feedback loops, and carries private power into politics, government, Mars, robots, AI, or whatever ambition comes next.The pull is the link to AI governance. O'Reilly says corporations are already a kind of artificial intelligence: narrow-input systems that act at a scale no individual human can match. Their partial controls include independent boards, shareholder votes, courts, disclosure, regulators, public pressure, and activism. If the leaders building frontier AI strip those alignment mechanisms out of their own companies, the governance of the company becomes a preview of the governance of the machine.Read more: The EconomistMurky Mirror: Truth and ConsequencesAuthor: Esther Dyson Published: July 14, 2026Esther Dyson argues that today's institutional crisis is better viewed through the 14th century than through recent political history. Using Barbara Tuchman's A Distant Mirror as her frame, she compares a world of famine, plague, church schism, feudal predation, and purposeless war with a present in which institutions again feel brittle, incentives are badly aligned, and power is shifting into forms that are hard to govern.The killer detail is the historical analogy between land, corporations, and AI. Dyson moves from nobles who controlled serfs and territory, to the East India Company as a quasi-sovereign business, to today's AI systems and data centers as a possible new sector that crosses and weakens both nation-states and companies. The question is whether AI becomes a new kind of private land, owned by a new nobility, or an open prairie that many people can cultivate.The pull is human attention. Dyson says the central question is not what AI will do to people, but how people will react to it: whether they can value love, kindness, embodied attention, and artisanal human presence in a world of seductive artificial offerings.Read more: SourceThe political economy of billionaire derangementAuthor: Henry Farrell Published: July 15, 2026Henry Farrell argues that the visible political radicalization of some Silicon Valley billionaires is not a random personality quirk, but a product of the political economy that made them. Starting from Tyler Cowen's dismissal of “billionaire derangement syndrome” and Tim O'Reilly's warning that Elon Musk is using shareholder capitalism to escape shareholder restraint, Farrell flips the phrase: the question is why billionaires themselves can become deranged.The killer detail is Farrell's use of Peter Thiel as both theorist and example. Thiel's Stanford lectures described startups as monarchies and founders as figures vested with unusual power, while Silicon Valley culture rewarded eccentricity, monopoly ambition, and founder exceptionalism. Farrell says those ideas combined with dense founder-investor networks, peer rivalry, and weak correction mechanisms to amplify rather than discipline princely appetites.The pull is the ideological problem for classical liberals who once saw tech wealth as an ally of markets and freedom. Farrell says commerce did not tame the passions; in parts of Silicon Valley, the passions have begun to devour markets, institutions, and the liberal story that justified them.Read more: SourceIs there any “oligarchy” to fight?Matthew Yglesias | Slow Boring | July 16, 2026Matthew Yglesias argues that “oligarchy” is a rhetorically powerful but analytically loose way to describe American politics. The post begins from Bernie Sanders' “Fighting Oligarchy” tour, Amy Klobuchar's warning about a MAGA “broligarchy,” and the long afterlife of the Martin Gilens and Benjamin Page paper that was widely summarized as showing that only the rich matter in policy outcomes. Yglesias says the evidence supports a weaker claim: affluent people and business leaders have unusual access and influence, but that is not the same as rule by a small cabal.His main distinction is between inequality and oligarchy. The Gilens-Page measure treated the top 10 percent of households as “the wealthy,” and later critics found that rich and middle-class preferences usually align; in the cases where they differ, the rich win about 53 percent of the time. Yglesias also says business executives get special access partly because their decisions are materially important to communities, jobs, investment, and local tax bases, not only because of campaign donations.The post preserves Jerusalem Demsas' counterpoint from their podcast discussion: privileged donor and business access can still violate democratic equality even if the oligarchy label overstates the structure of power. Yglesias' narrower claim is that Democrats should be precise about what problem they are trying to solve, because donor influence can also push the party left on climate and cultural issues in ways that alienate many voters.Read more: Slow BoringAINearly 200 Economists and Tech Leaders Warn of A.I. ThreatsAuthor: Ben Casselman Published: July 13, 2026Ben Casselman reports on “We Must Act Now,” a statement warning that artificial intelligence could transform the economy faster than any previous technology and that policymakers need to move faster to understand and respond. The statement says AI may become radically more powerful over the next 10 years, bringing risks such as large-scale job displacement as well as opportunities such as higher living standards. Nearly 200 people signed, including 15 Nobel laureates, the chief economists of OpenAI and Anthropic, Anthropic co-founder Jack Clark, former Google CEO Eric Schmidt, and venture capitalist Vinod Khosla.The killer detail is who joined the warning. Casselman notes that the signatories include economists who have historically been skeptical of Silicon Valley's most dramatic AI job-loss forecasts, including Daron Acemoglu and Simon Johnson, the MIT professors who won the 2024 Nobel in economics. Erik Brynjolfsson, who helped organize the statement, says there has been a notable change in the profession and that economists and policymakers are not ready for the “tsunami” he sees coming.The pull is the measurement problem. The statement does not offer a specific policy menu, but calls for economists, policymakers, and industry leaders to understand the economics of transformative AI and steer it toward complementing humans. Brynjolfsson says one high priority is better data on AI's spread and impact, because current measures tell conflicting stories about job losses and which workers are most exposed.Read more: The New York TimesWhy I Didn't Sign the AI Open LetterAuthor: Andrew McAfee Published: July 13, 2026Andrew McAfee explains why he did not sign “We Must Act Now,” the AI economy statement organized in part by his longtime collaborator Erik Brynjolfsson. McAfee agrees with the letter's starting point that AI is likely to become radically more powerful over the next decade and that it is a general-purpose technology. His objection is not to urgency or to studying AI's economic effects, but to the framing of risk, displacement, and institutional steering as the first move.The killer detail is McAfee's line edit. He says the original letter comes close, then “bounces off the crossbar” by calling for incentives, guardrails, and institutions to steer AI before we know enough about its actual impacts. He points to mixed current evidence: labor-market canaries, but also rising software job postings, low unemployment for younger workers, rising real median income, and claims that AI-adopting companies are adding workers faster than low-adopting peers. His worry is that the letter leans toward upstream governance and dirigisme when the evidence may call for capability building instead.The pull is his replacement statement. McAfee keeps the three-paragraph structure but changes the emphasis: AI is likely to become radically more powerful; like earlier world-changing technologies it will raise living standards while also bringing harms and shocks; and economists, policymakers, and technology leaders should build the capabilities to respond quickly and effectively. It is a concise version of the permissionless-innovation case inside the AI policy debate.Read more: The Geek WayOwn Your WeightsAuthor: Jamin Ball Published: July 10, 2026Jamin Ball argues that the enterprise AI debate about whether companies should “own their weights” or rent models from frontier labs is asking too narrow a question. A model weight file gives a company control over a point-in-time artifact, but not durable control over the capability stack. In his framing, the weight file is a melting ice cube: it does not get worse in absolute terms, but it falls behind as frontier systems improve and enterprise needs change.The killer detail is what Ball says companies really need to own: the data flywheel, reinforcement learning infrastructure, and evaluation harness that produce and improve the model. Simply deploying an open-weights model and declaring sovereignty leaves the enterprise with yesterday's capability and no way to compound workflow-specific learning.The pull is that enterprise AI control may be less about model ownership than operating ownership. The defensible layer is the system that turns company data, edge cases, business definitions, and evaluations into continuously improving performance.Read more: Clouded JudgementWays to Think About Token PricingAuthor: Benedict Evans Published: July 9, 2026Benedict Evans argues that today's AI token prices are a temporary signal from a supply-constrained market, not a reliable guide to long-term value capture. The open question is whether foundation models keep durable pricing power or become commodity infrastructure as data-center capacity, inference efficiency, and model competition all shift. His current read is that the visible market dynamics point toward commoditization unless something materially changes.The killer detail is the mobile data analogy. Evans says cellular networks became a trillion-dollar industry with hundreds of billions in capex after data usage exploded, but carrier stocks went nowhere because value moved up the stack. Tokens may behave similarly: an opaque unit tied to marginal cost, sold through bundles, essential to everything, yet not necessarily where profits accrue.The pull is uncertainty, not prediction. Evans lists paths to model dominance, including network effects, less competition, regulation, export controls, or a lab pulling ahead on execution, but says each requires a new fact not yet visible. Without that change, the model layer looks more like infrastructure beneath the products that capture value.Read more: SourceAlex Karp Is Saying What Every Angry CEO Is Thinking About AIAuthor: Tim Higgins Published: July 11, 2026Tim Higgins reports that Palantir CEO Alex Karp has turned corporate frustration with AI labs into a public argument about enterprise control. Palantir released a white paper, “Institutional Sovereignty in the Age of AI,” laying out steps companies and governments can take to protect themselves from OpenAI, Anthropic, and other foundation-model providers. The article links that paper to Karp's CNBC appearance, where he said “something has gone completely wrong” in the relationship between AI labs and customers and argued that enterprises are paying for tokens that create little value.The killer detail is the value-capture question. Higgins writes that Karp's critique has resonated because AI labs may gain power and insight from customer data, workflows, and decision-making, even when enterprise policies say customer data are not used for training. David Sacks amplified the concern by arguing that Anthropic is moving from the model layer into vertical applications such as science, security, legal, and coding, raising the fear that model providers will watch where value is being created and then move into those markets directly.The pull is that Karp is not alone, even if his style is unusually combative. Higgins notes that Satya Nadella has also warned that companies need to retain the learnings created when they use AI models, while Mark Zuckerberg has framed Meta's new model release partly around lower-cost frontier intelligence. The article presents Karp's campaign as one sign that established technology companies and large enterprises are trying to define where they fit when AI labs become central infrastructure, application competitors, and potential IPO giants at the same time.Read more: The Wall Street JournalThe AI Agents Are Coming for Microsoft OfficeAlex Wilhelm | Cautious Optimism | July 11, 2026Alex Wilhelm argues that one of the week's quieter AI questions is whether the productivity market that Microsoft successfully moved into subscription software is now being attacked by agentic tools. The piece begins with the infrastructure backdrop: SK Hynix raised $26.5 billion in a U.S. listing while building U.S. HBM and advanced-packaging capacity, and memory, chip, and foundry companies are now priced for sustained AI demand.Wilhelm then says the AI conversation has shifted quickly from raw capability to cost per task. He cites new model releases and vendor language emphasizing cheaper agentic and coding models, faster performance, and lower dollars per task. That matters because lower costs make it more plausible for AI systems to take on routine knowledge work at scale rather than remain a premium coding assistant market.The core of the article is Microsoft Office. Wilhelm notes that Microsoft turned Office from a one-time purchase into Microsoft 365, a large recurring revenue business with tens of millions of subscribers and a major productivity segment. Now, he says, late-stage unicorns and AI labs are pushing into the same territory: Anthropic's Cowork was reportedly used mostly outside software development, OpenAI merged ChatGPT and Codex into a tool for creating sheets, slides, docs, web apps, and long-running work, and other companies are building agentic coworkers that connect business data to documents, workflows, schedules, alerts, and apps.The article's caveat is that Microsoft has survived major platform shifts before. The argument is not that Office disappears quickly, but that the definition of office software is broadening from documents and spreadsheets into AI systems that can create, monitor, and act across workplace data.Read moreWhat Is Loop Engineering, and Who Owns It?Author: Nilesh Barla Published: July 11, 2026Nilesh Barla argues that “loop engineering” is becoming a distinct discipline because production AI agents now fail less at single prompts than at runtime: when to stop, what state to preserve, and how to recover after a bad step. Prompt engineering shapes one model call, and context engineering shapes what the model sees, but loop engineering shapes what a sequence of calls actually does.The killer detail is the three-primitives frame. Barla says a real agent loop needs halt conditions, state carryover, and recovery paths, then maps teams across five maturity levels. At the lowest level, an agent is just a model call in a for-loop with a step cap and raw history; by the higher levels, the system has structured state, explicit planning, replay, evaluation, and self-repair.The pull is organizational. If agents are becoming production systems rather than demos, someone has to own the runtime itself. The loop engineer is the role Barla gives to the person responsible for making long-running agent work dependable.Read more: Adaline LabsThe Fight Against AI Data Centers Is Just BeginningEmma Roth | The Verge | July 12, 2026Emma Roth argues that community resistance to data centers has moved from an early warning sign into a national political fight as AI facilities grow larger, more power-hungry, and more visible to nearby residents. The article starts with Apple's failed 2015 plan for a $1 billion data center in Athenry, Ireland, where a small group of residents challenged the project over noise, light pollution, flooding, traffic, and wildlife effects until Apple abandoned it in 2018.The current data-center buildout is presented as much larger and more contentious. Roth writes that residents now cite rising energy costs, water quality, noise, light pollution, and greenhouse gas emissions, while the U.S. Energy Information Administration expects commercial energy demand to surpass residential demand this year because of AI data centers and Goldman Sachs expects data-center power demand to double by 2027.The central evidence comes from Data Center Watch, which says protesters blocked or delayed at least 75 U.S. projects worth $130 billion from January to March, with active opposition groups more than doubling from 396 at the end of 2025 to 833 by the end of the first quarter of 2026. Roth also cites QTS abandoning a $12 billion Wisconsin campus, Delaware City regulators blocking a 580-acre project under the Coastal Zone Act, opposition stopping a QTS project in Prince William County, and pressure that pushed Kevin O'Leary to downsize the proposed 40,000-acre Project Stratos in Utah.The policy section describes a split between federal acceleration and local resistance. President Trump has treated data centers as part of the AI race with China and fast-tracked construction, while some Republican candidates are distancing themselves from that position ahead of midterms. Sanders and Ocasio-Cortez have proposed a moratorium until price and environmental protections exist, bipartisan lawmakers are backing ratepayer-protection measures, and states including Florida, Idaho, and Washington have passed rules on cost shifting, water use, and tax breaks. Roth's caveat is that the policy patchwork is still incomplete, leaving many communities to fight project by project.Read more6 months to live for open modelsAuthor: Nathan Lambert Published: July 12, 2026Nathan Lambert argues that open-weight AI models are facing their most serious policy test so far because U.S. officials are beginning to discuss concrete controls rather than abstract safety concerns. He says reported White House conversations about a new executive order may initially target Chinese-origin models and government use, but could create a broader review habit for frontier open models. His forecast is that a model above the capability range of GPT-5.5, Claude Opus 4.8, or GLM-5.2 could trigger a ban or indefinite delay within six months.The post separates two policy fights that are becoming intertwined: distillation and frontier capability. Lambert says the distillation campaign against Chinese models has become a form of regulatory capture because Anthropic and other closed-model companies would gain economically if Chinese open models were banned. He does not dismiss IP protection, but argues that if a closed model's capabilities are dangerous enough to justify restricting open models, the lab also has to explain why those capabilities are exposed through a queryable API. He cites unauthorized access to Anthropic's Mythos private beta as evidence that APIs are not automatically secure.The broader claim is that a unilateral U.S. ban would hurt positive actors more than bad actors if comparable open models remain available elsewhere. Lambert says the only durable ceiling would require global agreement, which does not exist, and that open models can improve safety by allowing broad inspection, adaptation, and understanding. His proposed near-term off-ramps are a strong U.S. open model release from companies such as Microsoft, Meta, or Reflection, and a broader coalition of open-source beneficiaries lobbying for safe rollout rather than prohibition.Read more: SourceAmericans Deserve a Dividend From AI Companies' RichesAuthor: Scott Stanford Published: July 14, 2026Scott Stanford argues that proposals to give the government a stake in AI companies miss the point unless ordinary citizens directly receive and control the upside. Sam Altman has discussed giving up equity in OpenAI, Washington already owns a stake in Intel, Nvidia is sharing China chip revenue, and Bernie Sanders wants large AI labs to contribute half their stock to a sovereign wealth fund. Stanford says those ideas all park value with the state, not with people.The killer detail is New Carlisle, Indiana, where AWS's Project Rainier is turning cornfields into one of the world's largest AI superclusters. The project is planned to run up to a million chips, draw more than two gigawatts of power, and represents an investment that has grown from $11 billion to $13.8 billion. Stanford uses that local transformation to argue that AI's public bargain should be visible at the household level.The pull is design. A citizen AI dividend would have to specify who earns a stake, how they hold it, and when they see cash. Without that mechanism, the AI wealth debate remains a fight over government balance sheets rather than public ownership.Read more: SourceWho Gets to Define the Frontier?Author: Mark Daley Published: July 14, 2026Mark Daley argues that Demis Hassabis is right to call for a serious institution to verify frontier AI systems, but that the power to test models is also the power to govern them. Hassabis's proposed Frontier AI Standards Body would get privileged pre-release access to advanced models, testing compute, held-out evaluations, support from national labs and security agencies, third-party auditors, and eventually authority to block models from the American market or coordinate a slowdown.The killer detail is Daley's constitutional objection. He says the proposal sometimes looks like a scientific lab, a standards body, an industry regulator, a licensing authority, and an emergency security council at once. Combining those roles because each requires technical expertise would be like putting the central bank, auditor-general, and Supreme Court in one building and calling it efficient.The pull is standard-setting. Daley's concern is not that verification is unnecessary, but that whoever writes the tests, decides what passes, adjudicates disputes, and grants market access may end up defining the frontier itself.Read more: SourceGPT-Red: Unlocking Self-Improvement for RobustnessOpenAI | OpenAI | July 15, 2026OpenAI describes GPT-Red as an internal automated red-teaming model trained to find prompt-injection vulnerabilities at a scale human red teams cannot match. The post says AI systems increasingly encounter third-party data through browsers, connected apps, local files, and tools, creating opportunities for malicious instructions hidden in emails, webpages, tool responses, or code repositories. Human red-teaming remains part of OpenAI's safety process, but the company says it is time-intensive and cannot generate enough diverse adversarial examples for model training.The system is trained through self-play reinforcement learning, with GPT-Red rewarded for eliciting valid failures and defender models rewarded for resisting attacks while still completing their tasks. OpenAI says the training environments specify threat models across settings such as local files, webpage banners, email bodies, and tool outputs. The model is kept separate from deployed production models because it is intentionally trained with malicious capabilities.OpenAI reports that GPT-Red generalized beyond its training set, including an internal replication of the indirect prompt-injection arena from Dziemian et al. (2025), where it found successful attacks in 84% of scenarios compared with 13% for human red-teamers. The post also says GPT-Red transferred attacks from simulation to a live autonomous vending-machine agent, causing price changes and order cancellations, and outperformed a prompted GPT-5.5 baseline against a Codex CLI agent on held-out data-exfiltration tasks.The article's main robustness claim is that OpenAI has used GPT-Red and predecessor models in training since GPT-5.3, with later GPT releases becoming more resistant to prompt injections. It says GPT-5.6 Sol has six times fewer failures on OpenAI's hardest direct prompt-injection benchmark than the best production model from four months earlier, that a “Fake Chain-of-Thought” attack class fell from more than 95% success against GPT-5.1 to below 10% against GPT-5.6 Sol, and that GPT-5.6 Sol fails on only 0.05% of GPT-Red's direct prompt injections. OpenAI says general capabilities and targeted over-refusal evaluations were not harmed, and says a preprint with more details will follow.Read moreAnthropic, Blackstone bet the next trillion-dollar AI business is implementation, not just modelsRebecca Bellan | TechCrunch | July 15, 2026Rebecca Bellan reports that Ode with Anthropic is the $1.5 billion AI implementation company launched by Anthropic with Blackstone, Hellman & Friedman, Goldman Sachs, and other backers. The article says the venture reflects a growing belief among frontier AI labs that enterprise adoption requires more than better models: customers need engineers who can embed inside businesses and turn AI into working systems.Ode was originally conceived by Blackstone after it used both large consulting firms and smaller AI services boutiques across its portfolio companies. TechCrunch reports that Fractional AI, an AI engineering services startup, stood out and was acquired by the joint venture shortly after the venture was announced. Fractional now forms the foundation of Ode, which has 100 engineers and works closely with Anthropic's applied AI team to identify where the technology can affect specific businesses.Ode CEO Chris Taylor tells TechCrunch that the company could someday become a trillion-dollar business if it scales without losing quality. He says an ideal customer is one whose CEO treats the AI project as a top one or two priority, whether it is a major product feature or the reworking of a core business process. Ode will operate under a “Claude-first” principle, using Anthropic technology whenever possible, but the article says it can use rival AI products when needed.The article's central implementation argument comes from Ode chief technologist Eddie Siegel, who says model selection matters but is not where most of the engineering effort goes. He compares it to the choice of programming language in software: one ingredient in a system that still has to be engineered. Bellan writes that Ode's challenge is hiring and training enough elite generalist engineers, many of them former founders, while competing with OpenAI's The Deployment Company and consulting giants that have built their own forward-deployed engineering teams.Read moreVint Cerf is working on a plan to unleash AI agents on the open internetTim Fernholz | TechCrunch | July 15, 2026Tim Fernholz reports that Vint Cerf, after leaving Google, is advising Innovation Labs on an open architecture for identifying AI agents online. Innovation Labs is a subsidiary of Identity Digital, a DNS registry company, and its proposal is to use domain-name infrastructure as part of a system for agent identity, accountability, and auditability. The premise is that agents will need a way to identify themselves if they move beyond proprietary systems and begin interacting across the open internet.The concrete proposal is DNSid, a registry that links an AI agent to an existing internet domain and uses cryptographic proofs to log its registration over time. Innovation Labs says it is trialing the standard with unnamed hyperscalers and identity companies. Cerf frames the problem around authority and accountability: what authority an agent has, where that authority came from, who is accountable for the agent's behavior, how its identity is established, and why anyone should trust it.The article's caveat is that standards are still emerging and agents are more active than static domains. Cerf says the period may be both fascinating and exasperating because the functionality is powerful and interoperability is unresolved. He compares the adoption problem to TCP/IP: competing systems may not work together until users push for functional interoperation. He also says an agentic economy is not inevitable, but that people will try to build it because delegating work to agents will be easier.Read more: TechCrunchxai-org/grok-build, now open sourceAuthor: Simon Willison Published: July 15, 2026Simon Willison argues that xAI's decision to open-source Grok Build is best understood as a trust repair move after a severe privacy failure. The CLI had triggered backlash when users realized that running it in a directory could upload the entire directory to xAI's Google Cloud buckets, including one user's reported SSH keys, password manager database, documents, photos, and videos. xAI disabled the feature, said previously retained coding data would be deleted, and released the code under Apache 2.0.The killer detail is what the codebase reveals. Willison counts 844,530 lines of Rust, only about 3% of which appears vendored, and finds remnants of the upload system still present but disabled: gcs.rs contains Google Cloud upload code, while upload_session_state() now returns a hard-coded session_state_upload_unavailable error. He also notes copied or ported tool implementations from Codex and OpenCode, prompt files, and a terminal Mermaid renderer.The pull is that terminal coding agents are becoming large, intricate software systems in their own right. The privacy failure mattered because these tools operate inside the directories where developers keep their most sensitive work; the open-source release matters because trust now depends on inspecting what an agent can see, send, and do.Read more: SourceThe Pulse: What can we learn from Bun's rapid Rust rewrite with AI?Author: Gergely Orosz and Ivan Klaric Published: July 16, 2026Gergely Orosz and Ivan Klaric argue that Bun's AI-assisted rewrite from Zig to Rust is a practical sign of how software engineering changes when models can take on large, bounded migrations with clear feedback loops. The piece does not treat the rewrite as magic: Jarred Sumner first spent hours turning design judgment into a detailed porting guide, then used adversarial review, parallel agents, compiler errors, and tests to force the work toward correctness.The killer detail is the scale. Bun had 535,496 lines of Zig, 1,448 files, and 22 million monthly downloads, making a conventional rewrite a year-long freeze the team could not justify. Using Fable, Sumner split the work across 64 agents, produced about 6,500 commits, and got the migration done in 11 days at an estimated API cost of $165,000.The pull is economic, not theatrical. If a one- or two-year migration can become an 11-day project, AI coding is not just faster autocomplete; it changes which technical debts are worth paying down.Read more: SourceOrphan risks at the frontier of artificial intelligenceAuthor: Andrew Maynard Published: July 16, 2026Andrew Maynard argues that frontier AI safety frameworks are creating “orphan risks”: harms that companies can see, but do not formally own because they are hard to quantify, do not fit catastrophic-risk thresholds, or fall outside audit-friendly compliance machinery. His target is not existing frontier safety work, but the narrowing effect that happens when private companies decide which risks count as governable.The killer detail is Maynard's contrast between measurable model dangers and threats to value. He points to Meta's three-day Galactica collapse, OpenAI's 2023 board crisis, safety-team departures, and wellbeing litigation as examples of risks that damaged trust, culture, legitimacy, or users without fitting cleanly into conventional model-risk categories. The proposed fix is an orphan-risk register: a public record of risks a company considered and chose not to manage, with reasons.The pull is accountability. Frontier developers' internal scoping choices have become a de facto layer of public governance, so the question is no longer only which risks they manage, but which risks they quietly leave outside the frame.Read more: SourceThe Lab of the Future Should Feel Like a Data CenterLatent.Space with Andy Beam and Rafa Gomez-Bombarelli | Latent.Space | July 16, 2026Latent.Space interviews Lila Sciences CTO Andy Beam and chief science officer for physical sciences Rafa Gomez-Bombarelli about the company's attempt to build an AI-run science factory. The post describes Lila's thesis as treating the lab itself as an “infinite token generator”: if internet data drove the first era of AI scaling, experimentally verified scientific data may be the next scarce training source. Lila is trying to produce that data with robotics, lab instruments, orchestration software, and AI models wired into the wet lab.The central analogy is the lab as data center. Instruments are nodes on a graph, a magnetically levitating transport layer moves materials between them, and experiment scheduling looks like a compute queue. Beam says Lila is not simply an automation company, because the point is not just throughput; it is flexibility, generalization, and experiment capture. The post says Lila has built more than 10 trillion experimentally validated “scientific reasoning tokens,” not internet text or biological sequences.The interview ranges across biology, chemistry, drug discovery, materials science, and the limits of automation. It notes that Lila rebuilt one gas-sorption measurement to run roughly 2,500 times faster, claims its general models can transfer priors from small-molecule chemistry to metal-organic frameworks for carbon capture, and describes model-suggested platinum-group-free electrocatalysts that moved from looking boring or wrong to becoming strong performers. The caveats are physical: experiments have runtimes, biology cannot always be accelerated, chains of thought can be unreliable narrators, and reward hacking becomes more dangerous when a model controls a real lab.Read more: Latent.SpaceWhy AMI Labs' Alexandre LeBrun won't call his AI “AGI” or “superintelligence”Kate Park | TechCrunch | July 16, 2026Kate Park interviews AMI Labs CEO Alexandre LeBrun about why Yann LeCun's world-model startup avoids the language of “AGI” and “superintelligence.” LeBrun says the terms are not useful because they lack stable definitions: “We never used the word AGI. And I just noticed that nobody is using it anymore; they switched to superintelligence.” His argument is that the practical frontier is not a label, but whether AI systems can understand and predict real-world states.The article explains the world-model thesis by contrasting language prediction with physical-state prediction. A large language model predicts the next word; a world model predicts the next state, such as what happens when a glass tips over. LeBrun says LLMs remain complementary and efficient for language, but the physical world is where current AI is weak. Robotics is the clearest case: hardware has advanced quickly, but robots are still brittle outside controlled routines because they lack context and situational understanding.AMI is still pre-product, but TechCrunch reports that LeBrun was in Seoul looking for industrial partners, researchers, and global companies. He says world models cannot be built entirely inside a lab because they need access to real environments. That is why South Korea appeals to AMI: robotics, semiconductors, manufacturing, and fast adoption create the kind of hardware-heavy context that software-only AI has barely touched.Read more: TechCrunchKimi K3 Tech Blog: Open Frontier IntelligenceKimi | Kimi | July 16, 2026Kimi introduces Kimi K3 as an open 3T-class frontier model aimed at coding, knowledge work, reasoning, multimodality, and long-context agentic use. The source describes the model as a 2.8T-parameter system built on Kimi Delta Attention and Attention Residuals, with native multimodality and a 1M-token context window. It says Moonshot AI plans to release model weights by July 27.The post presents K3 through benchmark and use-case sections rather than as a general product announcement. It reports results across coding, productivity, agentic, and multimodal evaluations, including DeepSWE, Terminal-Bench 2.1, Program Bench, SWE Marathon, FrontierSWE, PostTrain Bench, OfficeQA Pro, SpreadsheetBench 2, MCP Atlas, AutomationBench, BrowseComp, GDPval-AA v2, AA-Briefcase, MMMU-Pro, MathVision, BabyVision, OmniDocBench, and PerceptionBench. The source says all reported K3 results use maximum reasoning effort with temperature and top-p set to 1.0, and that different benchmark comparisons use KimiCode, Claude Code, or Codex harnesses depending on the test.Kimi's caveats are unusually concrete. The limitations section says K3 was trained in preserved thinking-history mode, so quality may become unstable if an agent harness does not pass historical thinking content correctly or if an ongoing session switches to K3 midstream. It also says K3's emphasis on long-horizon tasks can make it excessively proactive when it encounters minor issues or ambiguous intent, and recommends imposing explicit behavioral constraints for applications that require strict boundaries. The post adds that K3 remains behind Claude Fable 5 and GPT 5.6 Sol in user experience despite being competitive overall.Read moreVenture CapitalThree Years InAuthor: Tomasz Tunguz Published: July 10, 2026Tomasz Tunguz marks Theory Ventures' third anniversary by arguing that AI's central market effect is time compression. In his telling, model release cycles, company revenue milestones, enterprise adoption, and venture categories have all accelerated. Seed, Series A, and Series B still exist as financing labels, but they no longer cleanly describe company maturity when some seed rounds are larger than IPOs and the best AI companies can mature much earlier than prior software companies.The killer detail is the shift from models to inference. Tunguz argues that inference has become the dominant AI market because workloads and buyer preferences are fragmenting: video, batch, local, agentic, and real-time tasks each create different infrastructure needs. He compares this to databases splitting into OLTP, OLAP, vector, and streaming categories, with AI pushing the same specialization into inference infrastructure.The pull is that Theory sees the AI-native venture firm as part of the same pattern. The firm says it has analyzed twice as many investment opportunities with three investors working alongside a nine-person intelligence organization, using agents and research systems to map markets, source companies, and support diligence. The piece is both a market map and a statement about how venture itself is being rebuilt by the technology it funds.Read more: LinkedInVenture Has Rarely Looked More BifurcatedAuthor: Beezer Clarkson Published: July 14, 2026Beezer Clarkson points to PitchBook's Q2 report as evidence that the U.S. venture market has split into two very different realities. AI now accounts for more than 60 percent of all U.S. venture deal value, meaning the headline market can look active and well-funded even while much of the non-AI market is dealing with a much colder liquidity and fundraising environment.The thread uses that split as the setup for Clarkson's latest Origins episode with Alec Litowitz, founder of Magnetar and QStar Capital and one of Citadel's original founding partners. Clarkson says markets like this are periods of genuine uncertainty, not merely ordinary risk, which is why Litowitz's Adaptability Quotient framework is relevant.The embedded clip makes the liquidity point concrete. Litowitz says DPI is “the resolution of uncertainty” because it converts an uncertain investment into actual cash returned to LPs. In his framing, a realized dollar is a real mark, while TVPI remains uncertain until it is realized.The killer detail is the distinction between pricing risk and resolving uncertainty. Litowitz's perspective matters because QStar is a SpaceX investor and Clarkson says the conversation happened just before one of venture's most consequential IPOs. The episode's stated questions are why venture remains a way to gain exposure to innovation, how AI is changing what is investable, why liquidity is ultimately a function of time, and why uncertainty requires a different decision framework from risk.Read more: XThe Best Angel Investors in the US: Who Backs the Most Unicorns, and Who's Active NowAuthor: Ilya Strebulaev Published: July 10, 2026Ilya Strebulaev ranks angels, angel groups, accelerators, and incubators by lifetime U.S. unicorn investments, counting checks written before a company reached unicorn status. The top of the combined list is dominated by organizations: Y Combinator leads with 113 unicorn investments, followed by Plug and Play at 52 and 500 Global at 41. Sand Hill Angels is the highest-ranked angel group at 31.The killer detail is how quickly the list changes below the biggest accelerators. Strebulaev says 271 of the 304 investors in the Top 200 are individuals, or 89%. In the top 100, individuals are 91%. That makes the market underneath the large accelerator counts look much more personal: mostly operators and individual angels writing early checks from their own networks.The pull is the ranking's own caveat. Strebulaev writes that every lifetime leaderboard has a blind spot because many of the unicorns behind those totals were founded a decade or more ago, and some angels have since moved into formal funds, slowed down, or stopped investing. His post therefore separates lifetime performance from recent cohorts, including companies founded in 2015 or later and 2020 or later. For founders or allocators making current decisions, that distinction matters: a career record and a current record are not the same measure.Read more: Ilya StrebulaevAre Prediction Markets Doomed to Fail?Author: Contrary Published: July 16, 2026Contrary argues that prediction markets' current boom depends on whether platforms can prove they are more than regulated gambling with exchange-style branding. Kalshi and Polymarket have reached mass cultural, investor, and regulatory attention, but the article says the underlying idea is old: academic markets, corporate forecasting tools, Intrade, PredictIt, and other predecessors all struggled with the same linked problems of liquidity, legality, and user appeal.The killer detail is the comparison with sportsbooks. Prediction markets present themselves as peer-to-peer, transparent, and non-house-based, but sports contracts reportedly account for more than 90 percent of Kalshi trading, and the article says the platforms keep a much thinner slice of volume than sportsbooks. A market can therefore show sports-betting-scale handle while generating far less revenue.The pull is that the product's hardest problem may be distribution of wins. If a small group of sharp traders captures most profits while casual users lose interest, prediction markets may become valuable data feeds and professional tools before they become durable consumer networks.Read more: SourceRegulationExclusive: The Next Frontier of the Deportation Wars: College CampusesAuthor: Adrian Carrasquillo Published: July 11, 2026Adrian Carrasquillo reports that college campuses are becoming a new front in the fight over immigration enforcement because automatic license plate readers can turn ordinary campus security infrastructure into searchable location data. His thesis is that Flock Safety's camera network, even without direct ICE or DHS contracts, can feed deportation enforcement through local police partnerships and data-sharing practices.The killer detail is the campaign target. The Emergency Campaign to Support Higher Education, working with Schools Drop ICE, is focusing on 75 colleges and universities publicly identified as having Flock contracts. Flock says it has no ICE or DHS contracts, but activists argue the risk comes through local agencies that coordinate with federal authorities and run searches on their behalf.The pull is broader than immigration. Carrasquillo notes that license plate readers have already been abused by officers for stalking, and that Flock's AI search features can identify more than plates, including bumper stickers. A campus safety tool can become a political surveillance system when the data layer is searchable.Read more: The BulwarkThe Supreme Court Broke Independent Agencies. Here's a Way to Slow the Damage.Author: Todd Phillips Published: July 12, 2026Todd Phillips argues that the Supreme Court's decision in Trump v. Slaughter damaged independent agencies by ending for-cause removal protections, but did not leave Congress powerless. The ruling weakens the old model in which commissioners at bodies such as the FTC, NLRB, CPSC, SEC, and CFTC could be insulated from dismissal over policy disagreements. Phillips says the next fight is whether presidents can turn nominally bipartisan commissions into one-party instruments.The killer detail is the procedural fix: quorum rules. Phillips proposes that Congress require bipartisan slates of commissioners to be seated before independent agencies can act. A president
This week's video transcript summary is here. You can click on any bulleted section to see the actual transcript. Thanks to Granola for its software.EditorialIntelligence: Who Owns it?This week the word “AI” feels too small.AI is a technology. Intelligence is its product. And if intelligence is the product, the question is no longer just: Which model is best? Who has the cheapest tokens? Who owns the weights? Who controls the data center? Those are important questions, but they are lower in the stack.The bigger question is simpler and more political:Who owns intelligence?That sounds abstract until you make it concrete. Intelligence is becoming something companies can capture, package, serve, meter, route, improve, and sell.It can write code, answer questions, design molecules, automate offices, run agents, draft legal work, advise scientists, serve consumers, and reshape workflows. It is not merely software. It is a general-purpose capability. And all humans could benefit from more of it.General-purpose capabilities have a habit of becoming public questions. But the default answer, that public good is best delivered by government, is the wrong answer in this context.The Product Is IntelligenceWe should stop talking about AI as a feature and start talking about intelligence as the universal thing that is delivered as an input to the world.Water is an input. Electricity is an input. Literacy is an input. Connectivity is an input. Once a society depends on them, access stops being optional. Nobody needs government to build every well, power plant, school, or network. But everybody understands that a civilization cannot be organized around less than universal and reliable access to foundational inputs.Intelligence is reaching that level of importance now that we all know it is real.Government should not own it, operate it, or develop it. Quite the opposite. Companies are the right actors to build fast, compete hard, improve models, serve customers, and discover the real use cases. Self-interest is a useful framing here. Markets are good at finding demand, reducing costs, and turning invention into services people actually use.Companies are the right operators, developers, and owners. But that does not settle the real question of who owns the benefits. That is an economic question.If intelligence becomes metered infrastructure, what happens to the value it creates?The Ownership StackThis week's articles keep circling the same issue from different directions but in the nature of ‘circling' never quite nail it.Jamin Ball's “Own Your Weights” starts with the enterprise version of the question. Owning a model file is not enough. The durable asset is the loop: the data flywheel, the evaluations, the reinforcement system, the workflow learning, and the operating context that lets capability compound.Benedict Evans' “Ways to Think About Token Pricing” adds the market layer. Tokens may become essential, abundant, and cheap, like mobile data. But being essential does not guarantee that the token layer captures the value. The money may move up the stack to whoever owns the workflow, the customer, the distribution, or the application.Alex Karp's fight with the labs, reported in “Alex Karp Is Saying What Every Angry CEO Is Thinking About AI”, is the same argument in sharper enterprise language. Companies are afraid that model providers will not just sell intelligence, but learn from customer workflows and then move into the markets where those workflows create value. The “All-in” group are echoing Karp's view.And “What Is Loop Engineering, and Who Owns It?” names the new contested terrain. The loop is where intelligence meets the world. Whoever owns the loop owns the learning. Whoever owns the learning owns the compounding asset.That is why “who owns intelligence?” is not a slogan. It is the question under the model layer, the application layer, the enterprise layer, and the economic layer.Because intelligence is the product, the tools creating it are fragmented and competitive. So there is no logic in trying to discuss this at the level of a single company or set of tools and models.The Old Promise Was That Commerce Would Tame PowerThe essays this week give the historical backdrop.Deirdre McCloskey, in “What Really Caused the Industrial Revolution”, argues that modern growth came not simply from capital accumulation, but from a change in permission: ordinary people were allowed to innovate, trade, build, and be honored for it.That matters because intelligence could be another expansion of permission. It could make more people capable of building, learning, creating, coding, researching, translating, selling, and coordinating. It could lower the cost of competence.But only if access is broad.Paul Krugman's “AI in an Age of Oligarchy” warns that the same technology lands differently in different political economies. A new general-purpose technology entering a broad, open, upwardly mobile society is one thing. The same technology entering a concentrated economy, with extreme wealth and weak counterweights, is another.Tim O'Reilly's Economist essay, “Elon Musk is building a form of capitalism that Adam Smith would hate”, makes the governance point more directly. The old liberal hope was that commerce would tame arbitrary power. Markets, boards, courts, shareholders, disclosure, and competition would discipline the prince.But what if the prince uses markets to escape discipline?Henry Farrell's “political economy of billionaire derangement” pushes the same point. Founder culture, monopoly ambition, peer rivalry, weak correction mechanisms, and vast private control can amplify appetites rather than restrain them.The danger with intelligence is not that companies build it. They should. Companies build it, meter it, use public tolerance and public infrastructure to scale it, learn from everyone who uses it. All of those things are inevitable and healthy. Market forces will sort out winners from losers. The real danger is that the winners treat all of the surplus produced as purely private.Metered Intelligence Creates SurplusIf metering is not the problem, what is?The problem is pretending that metered intelligence creates value only for the metering entity. Metering water is only tolerated as a public good. If the public were blackmailed by a private water company with the threat of no water we would all rebel.Once we understand that the product of AI is intelligence we can see that every time intelligence is used, there is the immediate transaction: the user pays, the provider serves.But there is also system value. Usage creates signals. Workflows reveal patterns. Prompts, corrections, failures, preferences, integrations, edge cases, and business processes all help define where intelligence is useful and how it should improve. Intelligence breeds intelligence.Even when customer data is contractually protected, the market learns. The platform learns where demand is. The product team learns which workflows matter. The ecosystem learns which jobs are vulnerable, which tasks are automatable, and which parts of the economy can be reorganized around machine intelligence.So the surplus is not born in a vacuum.It rests on public science, public education, public data exhaust, public law, public infrastructure, public energy systems, public tolerance for data centers, and billions of human interactions. It is served by companies, but it is not made only by companies.This is why “Americans Deserve a Dividend From AI Companies' Riches” belongs at the center of this week's issue. The detail can be debated. The principle is harder to dismiss. If intelligence becomes a new foundational resource, then some part of the wealth it creates should flow back to the people whose society makes it possible. Intelligence did not suddenly appear. AI is built on the entire history of human intelligence. It benefits from it and at the same time evolves it.Not Nationalization. A Human Wealth Fund.If intelligence belongs to everybody, some conclude that government ownership of intelligence is the right outcome.Governments are not well suited to build, operate, or improve intelligence. They will move too slowly, regulate too early, politicize the wrong things, and confuse economic participation with operational control.Andrew McAfee's “Why I Didn't Sign the AI Open Letter” is useful here. His objection is not that the technology is unimportant. It is that steering too hard before we understand the shape of the change can become its own failure mode. Marc Andreessen's satire of AI regulation is less policy than temperament, but it captures a real Silicon Valley fear: that regulation can become permission, capture, and incumbency before it becomes wisdom.That fear should be taken seriously.But it does not answer the economic question. It answers only the operational one.How can the economic benefits of intelligence be distributed? The better answer is a sovereign human wealth fund.Call it a sovereign wealth fund if you must, but the phrase is too national. Intelligence will not respect borders. The leading companies are global. The models, chips, data centers, agents, platforms, and workflows will be transnational from the beginning. If the value created by intelligence is global, then the mechanism for sharing some of that value should begin with the companies global enough to capture it. The nice thing about xAI, OpenAI, and Anthropic is that they are supranational.These companies own and operate intelligence. Let them compete. Let them profit. Let them keep the incentives that make the system improve. But if intelligence is the new water, the wealth it creates cannot belong only to the companies that meter it. And they, themselves, have the power to fix it, even more than governments.Access will become a Human Right; Ownership Is the Economic DesignThis is where human rights come in. There is no right to access an AI model, yet. But there will soon be a need to change that.Not as a claim that every person is entitled to every frontier model at every moment for free. That is not serious. Capacity has costs. Models have costs. Inference has costs. Data centers have costs. Although those costs will decline over time, possibly quite quickly as self-learning models address costs.The claim is more basic: in a world where intelligence becomes a primary input into education, work, health, science, citizenship, creativity, and economic agency, baseline access to intelligence starts to look like a civic requirement.That could mean public access layers. It could mean education credits. It could mean open models. It could mean AI dividends. It could mean public-interest compute. It could mean taxes on rents. It could mean a company-initiated human wealth fund that returns some of the upside to society without handing the operating system to the state. The latter could couple wealth growth with universal distribution of ownership.The exact mechanism matters. But the distinction matters more.Government should not own intelligence. It should be universally available. And people should have a claim on the wealth intelligence creates.The Frontier Is Also PhysicalThe abstraction is not weightless.“The Fight Against AI Data Centers Is Just Beginning”, “New York becomes the first state to enact a data center moratorium”, Reuters on pollution from Musk's xAI power project, and DataGravity's “Who Captures Value in AI Infrastructure?” all say the same thing from the ground up.Intelligence uses land. It uses power. It uses water. It uses chips. It uses grid capacity. It uses neighborhoods. It uses public patience.That makes the value question unavoidable. A society can accept the buildout if the buildout is legible as shared progress. It will resist it if the costs are local, the profits are private, and the benefits feel enclosed.Who Owns the “Loop”?The week ends where it began.“Anthropic and Blackstone” are betting that implementation is the next trillion-dollar business. “Vint Cerf” is working on identity for agents on the open internet. “GPT-Red” points toward systems that improve their own robustness. “Kimi K3” adds another open frontier model to the global mix.The model race continues. The deployment race is accelerating. The governance race is behind.My view is this:The central product of this era is intelligence. Companies have figured out how to capture it, package it, serve it, and meter it. That is good. It should stay in the hands of builders who have the incentive to make it better.But intelligence is too foundational to become just another private toll booth. A significant part of it will turn out to be free to users.As intelligence becomes a general-purpose resource, then access to it becomes a human-capability question, and the surplus from it becomes an economic-justice question. Not because government should run it. Because government should not run it. The operating layer belongs with companies. The wealth question belongs with everyone. But companies are best placed to turn that into a process of distribution.The question is not whether companies should build intelligence. They should.The question is whether humanity gets a stake in the wealth created by the thing that may soon become its most important shared input.Contents* Essays* Deirdre McCloskey on What Really Caused the Industrial Revolution* AI in an Age of Oligarchy* Elon Musk is building a form of capitalism that Adam Smith would hate* Murky Mirror: Truth and Consequences* The political economy of billionaire derangement* Is there any “oligarchy” to fight?* AI* Nearly 200 Economists and Tech Leaders Warn of A.I. Threats* Why I Didn't Sign the AI Open Letter* Own Your Weights* Ways to Think About Token Pricing* Alex Karp Is Saying What Every Angry CEO Is Thinking About AI* The AI Agents Are Coming for Microsoft Office* What Is Loop Engineering, and Who Owns It?* The Fight Against AI Data Centers Is Just Beginning* 6 months to live for open models* Americans Deserve a Dividend From AI Companies' Riches* Who Gets to Define the Frontier?* GPT-Red: Unlocking Self-Improvement for Robustness* Anthropic, Blackstone bet the next trillion-dollar AI business is implementation, not just models* Vint Cerf is working on a plan to unleash AI agents on the open internet* xai-org/grok-build, now open source* The Pulse: What can we learn from Bun's rapid Rust rewrite with AI?* Orphan risks at the frontier of artificial intelligence* The Lab of the Future Should Feel Like a Data Center* Why AMI Labs' Alexandre LeBrun won't call his AI “AGI” or “superintelligence”* Kimi K3 Tech Blog: Open Frontier Intelligence* Venture Capital* Three Years In* Venture Has Rarely Looked More Bifurcated* The Best Angel Investors in the US: Who Backs the Most Unicorns, and Who's Active Now* Are Prediction Markets Doomed to Fail?* Regulation* Exclusive: The Next Frontier of the Deportation Wars: College Campuses* The Supreme Court Broke Independent Agencies. Here's a Way to Slow the Damage.* India's crackdown on a new WhatsApp feature risks setting a global precedent* Let's build a children's public internet* Computer cops* Google is better at playing the AI regulations game* Infrastructure* Who Captures Value in AI Infrastructure?* New York becomes the first state to enact a data center moratorium* Pollution from Musk's unpermitted xAI power project hits hardest in Black communities* Interview of the Week* The End of the End of Geography* Startup of the Week* Radical AI's Joseph Krause: The Scientist Building The “Waymo” Lab For New Materials* Post of the Week* Marc Andreessen on AI RegulationEssaysDeirdre McCloskey on What Really Caused the Industrial RevolutionYascha Mounk and Deirdre McCloskey | Persuasion | July 11, 2026Yascha Mounk interviews Deirdre McCloskey about her argument that the modern world's economic liftoff came less from capital accumulation than from a change in ideas. McCloskey says both left and right versions of the conventional story rely too heavily on investment: the left stresses exploitation and surplus value, while the right stresses virtuous saving by capitalists. Her objection is historical and economic. Human beings had always invested, from irrigation works and Roman roads to seed grain, and simple accumulation quickly runs into diminishing returns.McCloskey's alternative is that northwestern Europe, first Holland, then Britain and Scotland, and then the North American colonies, developed a liberal ideology that changed who was allowed to innovate and be honored for it. The conversation links that shift to the erosion of inherited hierarchy, the spread of dignity for ordinary commercial life, and a moral vocabulary in which liberalism is not merely procedural but connected to virtues and values. The point is not that machines, coal, trade, and institutions did not matter, but that they do not explain the scale and timing of modern enrichment without a cultural permission structure for innovation.The interview also turns to the contemporary defense of liberalism. Mounk frames the series around the worry that liberalism is often treated as too thin to command allegiance, while its opponents speak more directly to moral passions. McCloskey's case is that liberal societies became rich because they dignified experimentation and ordinary enterprise, and that liberals need to recover the moral language behind that claim.Read moreAI in an Age of OligarchyPaul Krugman | Paul Krugman | July 12, 2026Paul Krugman frames AI as a major technological shock arriving inside an already unequal political economy. The post says AI's economic and social effects may take years to understand, but argues that the setting matters now: America has much greater wealth concentration and political inequality than it did in the 1950s and 1960s, when progressive taxation, stronger regulation, and more active antitrust might have contained some of the destructive effects of a new technology.Krugman's opening claim is that the same technology would likely have different consequences in a more level society. In today's United States, he writes, extreme wealth is both a cause and effect of policies that favor a small elite, including low effective taxes on capital and high incomes, weak enforcement of worker protections and antitrust, and cuts to programs that benefit ordinary Americans.The article is explicitly more about oligarchy than AI. Krugman says the paid sections document the rise of the “.0002%,” the economics and politics of extreme wealth, how oligarchy will shape AI's impact, and possible policy paths. His caveat is that AI itself may still produce a pushback against oligarchy, but absent that, he expects the pre-existing concentration of wealth and power to magnify AI's downsides.Read moreElon Musk is building a form of capitalism that Adam Smith would hateAuthor: Tim O'Reilly Published: July 12, 2026Tim O'Reilly argues that Elon Musk is using the legal forms of shareholder capitalism to escape the restraints that shareholder capitalism was supposed to impose. The article begins with SpaceX's public-market structure: ordinary public investors get little meaningful governance power, Musk keeps roughly 85 percent of the votes through super-voting shares, buyers waive jury trials and class actions, the company qualifies as controlled, and removal of Musk depends on the share class he controls. In O'Reilly's framing, that is not ordinary founder control; it is a design for being answerable to no one, possibly beyond Musk's own lifetime.The killer detail is the article's turn through Albert Hirschman, Montesquieu, James Steuart, Adam Smith, and Keynes. Older defenses of commerce held that markets would tame princely passions because the self-interest of merchants was safer than arbitrary rule. O'Reilly says Musk reverses that hope. The market discipline that was supposed to cage the prince has become the lever by which the prince raises capital, removes feedback loops, and carries private power into politics, government, Mars, robots, AI, or whatever ambition comes next.The pull is the link to AI governance. O'Reilly says corporations are already a kind of artificial intelligence: narrow-input systems that act at a scale no individual human can match. Their partial controls include independent boards, shareholder votes, courts, disclosure, regulators, public pressure, and activism. If the leaders building frontier AI strip those alignment mechanisms out of their own companies, the governance of the company becomes a preview of the governance of the machine.Read more: The EconomistMurky Mirror: Truth and ConsequencesAuthor: Esther Dyson Published: July 14, 2026Esther Dyson argues that today's institutional crisis is better viewed through the 14th century than through recent political history. Using Barbara Tuchman's A Distant Mirror as her frame, she compares a world of famine, plague, church schism, feudal predation, and purposeless war with a present in which institutions again feel brittle, incentives are badly aligned, and power is shifting into forms that are hard to govern.The killer detail is the historical analogy between land, corporations, and AI. Dyson moves from nobles who controlled serfs and territory, to the East India Company as a quasi-sovereign business, to today's AI systems and data centers as a possible new sector that crosses and weakens both nation-states and companies. The question is whether AI becomes a new kind of private land, owned by a new nobility, or an open prairie that many people can cultivate.The pull is human attention. Dyson says the central question is not what AI will do to people, but how people will react to it: whether they can value love, kindness, embodied attention, and artisanal human presence in a world of seductive artificial offerings.Read more: SourceThe political economy of billionaire derangementAuthor: Henry Farrell Published: July 15, 2026Henry Farrell argues that the visible political radicalization of some Silicon Valley billionaires is not a random personality quirk, but a product of the political economy that made them. Starting from Tyler Cowen's dismissal of “billionaire derangement syndrome” and Tim O'Reilly's warning that Elon Musk is using shareholder capitalism to escape shareholder restraint, Farrell flips the phrase: the question is why billionaires themselves can become deranged.The killer detail is Farrell's use of Peter Thiel as both theorist and example. Thiel's Stanford lectures described startups as monarchies and founders as figures vested with unusual power, while Silicon Valley culture rewarded eccentricity, monopoly ambition, and founder exceptionalism. Farrell says those ideas combined with dense founder-investor networks, peer rivalry, and weak correction mechanisms to amplify rather than discipline princely appetites.The pull is the ideological problem for classical liberals who once saw tech wealth as an ally of markets and freedom. Farrell says commerce did not tame the passions; in parts of Silicon Valley, the passions have begun to devour markets, institutions, and the liberal story that justified them.Read more: SourceIs there any “oligarchy” to fight?Matthew Yglesias | Slow Boring | July 16, 2026Matthew Yglesias argues that “oligarchy” is a rhetorically powerful but analytically loose way to describe American politics. The post begins from Bernie Sanders' “Fighting Oligarchy” tour, Amy Klobuchar's warning about a MAGA “broligarchy,” and the long afterlife of the Martin Gilens and Benjamin Page paper that was widely summarized as showing that only the rich matter in policy outcomes. Yglesias says the evidence supports a weaker claim: affluent people and business leaders have unusual access and influence, but that is not the same as rule by a small cabal.His main distinction is between inequality and oligarchy. The Gilens-Page measure treated the top 10 percent of households as “the wealthy,” and later critics found that rich and middle-class preferences usually align; in the cases where they differ, the rich win about 53 percent of the time. Yglesias also says business executives get special access partly because their decisions are materially important to communities, jobs, investment, and local tax bases, not only because of campaign donations.The post preserves Jerusalem Demsas' counterpoint from their podcast discussion: privileged donor and business access can still violate democratic equality even if the oligarchy label overstates the structure of power. Yglesias' narrower claim is that Democrats should be precise about what problem they are trying to solve, because donor influence can also push the party left on climate and cultural issues in ways that alienate many voters.Read more: Slow BoringAINearly 200 Economists and Tech Leaders Warn of A.I. ThreatsAuthor: Ben Casselman Published: July 13, 2026Ben Casselman reports on “We Must Act Now,” a statement warning that artificial intelligence could transform the economy faster than any previous technology and that policymakers need to move faster to understand and respond. The statement says AI may become radically more powerful over the next 10 years, bringing risks such as large-scale job displacement as well as opportunities such as higher living standards. Nearly 200 people signed, including 15 Nobel laureates, the chief economists of OpenAI and Anthropic, Anthropic co-founder Jack Clark, former Google CEO Eric Schmidt, and venture capitalist Vinod Khosla.The killer detail is who joined the warning. Casselman notes that the signatories include economists who have historically been skeptical of Silicon Valley's most dramatic AI job-loss forecasts, including Daron Acemoglu and Simon Johnson, the MIT professors who won the 2024 Nobel in economics. Erik Brynjolfsson, who helped organize the statement, says there has been a notable change in the profession and that economists and policymakers are not ready for the “tsunami” he sees coming.The pull is the measurement problem. The statement does not offer a specific policy menu, but calls for economists, policymakers, and industry leaders to understand the economics of transformative AI and steer it toward complementing humans. Brynjolfsson says one high priority is better data on AI's spread and impact, because current measures tell conflicting stories about job losses and which workers are most exposed.Read more: The New York TimesWhy I Didn't Sign the AI Open LetterAuthor: Andrew McAfee Published: July 13, 2026Andrew McAfee explains why he did not sign “We Must Act Now,” the AI economy statement organized in part by his longtime collaborator Erik Brynjolfsson. McAfee agrees with the letter's starting point that AI is likely to become radically more powerful over the next decade and that it is a general-purpose technology. His objection is not to urgency or to studying AI's economic effects, but to the framing of risk, displacement, and institutional steering as the first move.The killer detail is McAfee's line edit. He says the original letter comes close, then “bounces off the crossbar” by calling for incentives, guardrails, and institutions to steer AI before we know enough about its actual impacts. He points to mixed current evidence: labor-market canaries, but also rising software job postings, low unemployment for younger workers, rising real median income, and claims that AI-adopting companies are adding workers faster than low-adopting peers. His worry is that the letter leans toward upstream governance and dirigisme when the evidence may call for capability building instead.The pull is his replacement statement. McAfee keeps the three-paragraph structure but changes the emphasis: AI is likely to become radically more powerful; like earlier world-changing technologies it will raise living standards while also bringing harms and shocks; and economists, policymakers, and technology leaders should build the capabilities to respond quickly and effectively. It is a concise version of the permissionless-innovation case inside the AI policy debate.Read more: The Geek WayOwn Your WeightsAuthor: Jamin Ball Published: July 10, 2026Jamin Ball argues that the enterprise AI debate about whether companies should “own their weights” or rent models from frontier labs is asking too narrow a question. A model weight file gives a company control over a point-in-time artifact, but not durable control over the capability stack. In his framing, the weight file is a melting ice cube: it does not get worse in absolute terms, but it falls behind as frontier systems improve and enterprise needs change.The killer detail is what Ball says companies really need to own: the data flywheel, reinforcement learning infrastructure, and evaluation harness that produce and improve the model. Simply deploying an open-weights model and declaring sovereignty leaves the enterprise with yesterday's capability and no way to compound workflow-specific learning.The pull is that enterprise AI control may be less about model ownership than operating ownership. The defensible layer is the system that turns company data, edge cases, business definitions, and evaluations into continuously improving performance.Read more: Clouded JudgementWays to Think About Token PricingAuthor: Benedict Evans Published: July 9, 2026Benedict Evans argues that today's AI token prices are a temporary signal from a supply-constrained market, not a reliable guide to long-term value capture. The open question is whether foundation models keep durable pricing power or become commodity infrastructure as data-center capacity, inference efficiency, and model competition all shift. His current read is that the visible market dynamics point toward commoditization unless something materially changes.The killer detail is the mobile data analogy. Evans says cellular networks became a trillion-dollar industry with hundreds of billions in capex after data usage exploded, but carrier stocks went nowhere because value moved up the stack. Tokens may behave similarly: an opaque unit tied to marginal cost, sold through bundles, essential to everything, yet not necessarily where profits accrue.The pull is uncertainty, not prediction. Evans lists paths to model dominance, including network effects, less competition, regulation, export controls, or a lab pulling ahead on execution, but says each requires a new fact not yet visible. Without that change, the model layer looks more like infrastructure beneath the products that capture value.Read more: SourceAlex Karp Is Saying What Every Angry CEO Is Thinking About AIAuthor: Tim Higgins Published: July 11, 2026Tim Higgins reports that Palantir CEO Alex Karp has turned corporate frustration with AI labs into a public argument about enterprise control. Palantir released a white paper, “Institutional Sovereignty in the Age of AI,” laying out steps companies and governments can take to protect themselves from OpenAI, Anthropic, and other foundation-model providers. The article links that paper to Karp's CNBC appearance, where he said “something has gone completely wrong” in the relationship between AI labs and customers and argued that enterprises are paying for tokens that create little value.The killer detail is the value-capture question. Higgins writes that Karp's critique has resonated because AI labs may gain power and insight from customer data, workflows, and decision-making, even when enterprise policies say customer data are not used for training. David Sacks amplified the concern by arguing that Anthropic is moving from the model layer into vertical applications such as science, security, legal, and coding, raising the fear that model providers will watch where value is being created and then move into those markets directly.The pull is that Karp is not alone, even if his style is unusually combative. Higgins notes that Satya Nadella has also warned that companies need to retain the learnings created when they use AI models, while Mark Zuckerberg has framed Meta's new model release partly around lower-cost frontier intelligence. The article presents Karp's campaign as one sign that established technology companies and large enterprises are trying to define where they fit when AI labs become central infrastructure, application competitors, and potential IPO giants at the same time.Read more: The Wall Street JournalThe AI Agents Are Coming for Microsoft OfficeAlex Wilhelm | Cautious Optimism | July 11, 2026Alex Wilhelm argues that one of the week's quieter AI questions is whether the productivity market that Microsoft successfully moved into subscription software is now being attacked by agentic tools. The piece begins with the infrastructure backdrop: SK Hynix raised $26.5 billion in a U.S. listing while building U.S. HBM and advanced-packaging capacity, and memory, chip, and foundry companies are now priced for sustained AI demand.Wilhelm then says the AI conversation has shifted quickly from raw capability to cost per task. He cites new model releases and vendor language emphasizing cheaper agentic and coding models, faster performance, and lower dollars per task. That matters because lower costs make it more plausible for AI systems to take on routine knowledge work at scale rather than remain a premium coding assistant market.The core of the article is Microsoft Office. Wilhelm notes that Microsoft turned Office from a one-time purchase into Microsoft 365, a large recurring revenue business with tens of millions of subscribers and a major productivity segment. Now, he says, late-stage unicorns and AI labs are pushing into the same territory: Anthropic's Cowork was reportedly used mostly outside software development, OpenAI merged ChatGPT and Codex into a tool for creating sheets, slides, docs, web apps, and long-running work, and other companies are building agentic coworkers that connect business data to documents, workflows, schedules, alerts, and apps.The article's caveat is that Microsoft has survived major platform shifts before. The argument is not that Office disappears quickly, but that the definition of office software is broadening from documents and spreadsheets into AI systems that can create, monitor, and act across workplace data.Read moreWhat Is Loop Engineering, and Who Owns It?Author: Nilesh Barla Published: July 11, 2026Nilesh Barla argues that “loop engineering” is becoming a distinct discipline because production AI agents now fail less at single prompts than at runtime: when to stop, what state to preserve, and how to recover after a bad step. Prompt engineering shapes one model call, and context engineering shapes what the model sees, but loop engineering shapes what a sequence of calls actually does.The killer detail is the three-primitives frame. Barla says a real agent loop needs halt conditions, state carryover, and recovery paths, then maps teams across five maturity levels. At the lowest level, an agent is just a model call in a for-loop with a step cap and raw history; by the higher levels, the system has structured state, explicit planning, replay, evaluation, and self-repair.The pull is organizational. If agents are becoming production systems rather than demos, someone has to own the runtime itself. The loop engineer is the role Barla gives to the person responsible for making long-running agent work dependable.Read more: Adaline LabsThe Fight Against AI Data Centers Is Just BeginningEmma Roth | The Verge | July 12, 2026Emma Roth argues that community resistance to data centers has moved from an early warning sign into a national political fight as AI facilities grow larger, more power-hungry, and more visible to nearby residents. The article starts with Apple's failed 2015 plan for a $1 billion data center in Athenry, Ireland, where a small group of residents challenged the project over noise, light pollution, flooding, traffic, and wildlife effects until Apple abandoned it in 2018.The current data-center buildout is presented as much larger and more contentious. Roth writes that residents now cite rising energy costs, water quality, noise, light pollution, and greenhouse gas emissions, while the U.S. Energy Information Administration expects commercial energy demand to surpass residential demand this year because of AI data centers and Goldman Sachs expects data-center power demand to double by 2027.The central evidence comes from Data Center Watch, which says protesters blocked or delayed at least 75 U.S. projects worth $130 billion from January to March, with active opposition groups more than doubling from 396 at the end of 2025 to 833 by the end of the first quarter of 2026. Roth also cites QTS abandoning a $12 billion Wisconsin campus, Delaware City regulators blocking a 580-acre project under the Coastal Zone Act, opposition stopping a QTS project in Prince William County, and pressure that pushed Kevin O'Leary to downsize the proposed 40,000-acre Project Stratos in Utah.The policy section describes a split between federal acceleration and local resistance. President Trump has treated data centers as part of the AI race with China and fast-tracked construction, while some Republican candidates are distancing themselves from that position ahead of midterms. Sanders and Ocasio-Cortez have proposed a moratorium until price and environmental protections exist, bipartisan lawmakers are backing ratepayer-protection measures, and states including Florida, Idaho, and Washington have passed rules on cost shifting, water use, and tax breaks. Roth's caveat is that the policy patchwork is still incomplete, leaving many communities to fight project by project.Read more6 months to live for open modelsAuthor: Nathan Lambert Published: July 12, 2026Nathan Lambert argues that open-weight AI models are facing their most serious policy test so far because U.S. officials are beginning to discuss concrete controls rather than abstract safety concerns. He says reported White House conversations about a new executive order may initially target Chinese-origin models and government use, but could create a broader review habit for frontier open models. His forecast is that a model above the capability range of GPT-5.5, Claude Opus 4.8, or GLM-5.2 could trigger a ban or indefinite delay within six months.The post separates two policy fights that are becoming intertwined: distillation and frontier capability. Lambert says the distillation campaign against Chinese models has become a form of regulatory capture because Anthropic and other closed-model companies would gain economically if Chinese open models were banned. He does not dismiss IP protection, but argues that if a closed model's capabilities are dangerous enough to justify restricting open models, the lab also has to explain why those capabilities are exposed through a queryable API. He cites unauthorized access to Anthropic's Mythos private beta as evidence that APIs are not automatically secure.The broader claim is that a unilateral U.S. ban would hurt positive actors more than bad actors if comparable open models remain available elsewhere. Lambert says the only durable ceiling would require global agreement, which does not exist, and that open models can improve safety by allowing broad inspection, adaptation, and understanding. His proposed near-term off-ramps are a strong U.S. open model release from companies such as Microsoft, Meta, or Reflection, and a broader coalition of open-source beneficiaries lobbying for safe rollout rather than prohibition.Read more: SourceAmericans Deserve a Dividend From AI Companies' RichesAuthor: Scott Stanford Published: July 14, 2026Scott Stanford argues that proposals to give the government a stake in AI companies miss the point unless ordinary citizens directly receive and control the upside. Sam Altman has discussed giving up equity in OpenAI, Washington already owns a stake in Intel, Nvidia is sharing China chip revenue, and Bernie Sanders wants large AI labs to contribute half their stock to a sovereign wealth fund. Stanford says those ideas all park value with the state, not with people.The killer detail is New Carlisle, Indiana, where AWS's Project Rainier is turning cornfields into one of the world's largest AI superclusters. The project is planned to run up to a million chips, draw more than two gigawatts of power, and represents an investment that has grown from $11 billion to $13.8 billion. Stanford uses that local transformation to argue that AI's public bargain should be visible at the household level.The pull is design. A citizen AI dividend would have to specify who earns a stake, how they hold it, and when they see cash. Without that mechanism, the AI wealth debate remains a fight over government balance sheets rather than public ownership.Read more: SourceWho Gets to Define the Frontier?Author: Mark Daley Published: July 14, 2026Mark Daley argues that Demis Hassabis is right to call for a serious institution to verify frontier AI systems, but that the power to test models is also the power to govern them. Hassabis's proposed Frontier AI Standards Body would get privileged pre-release access to advanced models, testing compute, held-out evaluations, support from national labs and security agencies, third-party auditors, and eventually authority to block models from the American market or coordinate a slowdown.The killer detail is Daley's constitutional objection. He says the proposal sometimes looks like a scientific lab, a standards body, an industry regulator, a licensing authority, and an emergency security council at once. Combining those roles because each requires technical expertise would be like putting the central bank, auditor-general, and Supreme Court in one building and calling it efficient.The pull is standard-setting. Daley's concern is not that verification is unnecessary, but that whoever writes the tests, decides what passes, adjudicates disputes, and grants market access may end up defining the frontier itself.Read more: SourceGPT-Red: Unlocking Self-Improvement for RobustnessOpenAI | OpenAI | July 15, 2026OpenAI describes GPT-Red as an internal automated red-teaming model trained to find prompt-injection vulnerabilities at a scale human red teams cannot match. The post says AI systems increasingly encounter third-party data through browsers, connected apps, local files, and tools, creating opportunities for malicious instructions hidden in emails, webpages, tool responses, or code repositories. Human red-teaming remains part of OpenAI's safety process, but the company says it is time-intensive and cannot generate enough diverse adversarial examples for model training.The system is trained through self-play reinforcement learning, with GPT-Red rewarded for eliciting valid failures and defender models rewarded for resisting attacks while still completing their tasks. OpenAI says the training environments specify threat models across settings such as local files, webpage banners, email bodies, and tool outputs. The model is kept separate from deployed production models because it is intentionally trained with malicious capabilities.OpenAI reports that GPT-Red generalized beyond its training set, including an internal replication of the indirect prompt-injection arena from Dziemian et al. (2025), where it found successful attacks in 84% of scenarios compared with 13% for human red-teamers. The post also says GPT-Red transferred attacks from simulation to a live autonomous vending-machine agent, causing price changes and order cancellations, and outperformed a prompted GPT-5.5 baseline against a Codex CLI agent on held-out data-exfiltration tasks.The article's main robustness claim is that OpenAI has used GPT-Red and predecessor models in training since GPT-5.3, with later GPT releases becoming more resistant to prompt injections. It says GPT-5.6 Sol has six times fewer failures on OpenAI's hardest direct prompt-injection benchmark than the best production model from four months earlier, that a “Fake Chain-of-Thought” attack class fell from more than 95% success against GPT-5.1 to below 10% against GPT-5.6 Sol, and that GPT-5.6 Sol fails on only 0.05% of GPT-Red's direct prompt injections. OpenAI says general capabilities and targeted over-refusal evaluations were not harmed, and says a preprint with more details will follow.Read moreAnthropic, Blackstone bet the next trillion-dollar AI business is implementation, not just modelsRebecca Bellan | TechCrunch | July 15, 2026Rebecca Bellan reports that Ode with Anthropic is the $1.5 billion AI implementation company launched by Anthropic with Blackstone, Hellman & Friedman, Goldman Sachs, and other backers. The article says the venture reflects a growing belief among frontier AI labs that enterprise adoption requires more than better models: customers need engineers who can embed inside businesses and turn AI into working systems.Ode was originally conceived by Blackstone after it used both large consulting firms and smaller AI services boutiques across its portfolio companies. TechCrunch reports that Fractional AI, an AI engineering services startup, stood out and was acquired by the joint venture shortly after the venture was announced. Fractional now forms the foundation of Ode, which has 100 engineers and works closely with Anthropic's applied AI team to identify where the technology can affect specific businesses.Ode CEO Chris Taylor tells TechCrunch that the company could someday become a trillion-dollar business if it scales without losing quality. He says an ideal customer is one whose CEO treats the AI project as a top one or two priority, whether it is a major product feature or the reworking of a core business process. Ode will operate under a “Claude-first” principle, using Anthropic technology whenever possible, but the article says it can use rival AI products when needed.The article's central implementation argument comes from Ode chief technologist Eddie Siegel, who says model selection matters but is not where most of the engineering effort goes. He compares it to the choice of programming language in software: one ingredient in a system that still has to be engineered. Bellan writes that Ode's challenge is hiring and training enough elite generalist engineers, many of them former founders, while competing with OpenAI's The Deployment Company and consulting giants that have built their own forward-deployed engineering teams.Read moreVint Cerf is working on a plan to unleash AI agents on the open internetTim Fernholz | TechCrunch | July 15, 2026Tim Fernholz reports that Vint Cerf, after leaving Google, is advising Innovation Labs on an open architecture for identifying AI agents online. Innovation Labs is a subsidiary of Identity Digital, a DNS registry company, and its proposal is to use domain-name infrastructure as part of a system for agent identity, accountability, and auditability. The premise is that agents will need a way to identify themselves if they move beyond proprietary systems and begin interacting across the open internet.The concrete proposal is DNSid, a registry that links an AI agent to an existing internet domain and uses cryptographic proofs to log its registration over time. Innovation Labs says it is trialing the standard with unnamed hyperscalers and identity companies. Cerf frames the problem around authority and accountability: what authority an agent has, where that authority came from, who is accountable for the agent's behavior, how its identity is established, and why anyone should trust it.The article's caveat is that standards are still emerging and agents are more active than static domains. Cerf says the period may be both fascinating and exasperating because the functionality is powerful and interoperability is unresolved. He compares the adoption problem to TCP/IP: competing systems may not work together until users push for functional interoperation. He also says an agentic economy is not inevitable, but that people will try to build it because delegating work to agents will be easier.Read more: TechCrunchxai-org/grok-build, now open sourceAuthor: Simon Willison Published: July 15, 2026Simon Willison argues that xAI's decision to open-source Grok Build is best understood as a trust repair move after a severe privacy failure. The CLI had triggered backlash when users realized that running it in a directory could upload the entire directory to xAI's Google Cloud buckets, including one user's reported SSH keys, password manager database, documents, photos, and videos. xAI disabled the feature, said previously retained coding data would be deleted, and released the code under Apache 2.0.The killer detail is what the codebase reveals. Willison counts 844,530 lines of Rust, only about 3% of which appears vendored, and finds remnants of the upload system still present but disabled: gcs.rs contains Google Cloud upload code, while upload_session_state() now returns a hard-coded session_state_upload_unavailable error. He also notes copied or ported tool implementations from Codex and OpenCode, prompt files, and a terminal Mermaid renderer.The pull is that terminal coding agents are becoming large, intricate software systems in their own right. The privacy failure mattered because these tools operate inside the directories where developers keep their most sensitive work; the open-source release matters because trust now depends on inspecting what an agent can see, send, and do.Read more: SourceThe Pulse: What can we learn from Bun's rapid Rust rewrite with AI?Author: Gergely Orosz and Ivan Klaric Published: July 16, 2026Gergely Orosz and Ivan Klaric argue that Bun's AI-assisted rewrite from Zig to Rust is a practical sign of how software engineering changes when models can take on large, bounded migrations with clear feedback loops. The piece does not treat the rewrite as magic: Jarred Sumner first spent hours turning design judgment into a detailed porting guide, then used adversarial review, parallel agents, compiler errors, and tests to force the work toward correctness.The killer detail is the scale. Bun had 535,496 lines of Zig, 1,448 files, and 22 million monthly downloads, making a conventional rewrite a year-long freeze the team could not justify. Using Fable, Sumner split the work across 64 agents, produced about 6,500 commits, and got the migration done in 11 days at an estimated API cost of $165,000.The pull is economic, not theatrical. If a one- or two-year migration can become an 11-day project, AI coding is not just faster autocomplete; it changes which technical debts are worth paying down.Read more: SourceOrphan risks at the frontier of artificial intelligenceAuthor: Andrew Maynard Published: July 16, 2026Andrew Maynard argues that frontier AI safety frameworks are creating “orphan risks”: harms that companies can see, but do not formally own because they are hard to quantify, do not fit catastrophic-risk thresholds, or fall outside audit-friendly compliance machinery. His target is not existing frontier safety work, but the narrowing effect that happens when private companies decide which risks count as governable.The killer detail is Maynard's contrast between measurable model dangers and threats to value. He points to Meta's three-day Galactica collapse, OpenAI's 2023 board crisis, safety-team departures, and wellbeing litigation as examples of risks that damaged trust, culture, legitimacy, or users without fitting cleanly into conventional model-risk categories. The proposed fix is an orphan-risk register: a public record of risks a company considered and chose not to manage, with reasons.The pull is accountability. Frontier developers' internal scoping choices have become a de facto layer of public governance, so the question is no longer only which risks they manage, but which risks they quietly leave outside the frame.Read more: SourceThe Lab of the Future Should Feel Like a Data CenterLatent.Space with Andy Beam and Rafa Gomez-Bombarelli | Latent.Space | July 16, 2026Latent.Space interviews Lila Sciences CTO Andy Beam and chief science officer for physical sciences Rafa Gomez-Bombarelli about the company's attempt to build an AI-run science factory. The post describes Lila's thesis as treating the lab itself as an “infinite token generator”: if internet data drove the first era of AI scaling, experimentally verified scientific data may be the next scarce training source. Lila is trying to produce that data with robotics, lab instruments, orchestration software, and AI models wired into the wet lab.The central analogy is the lab as data center. Instruments are nodes on a graph, a magnetically levitating transport layer moves materials between them, and experiment scheduling looks like a compute queue. Beam says Lila is not simply an automation company, because the point is not just throughput; it is flexibility, generalization, and experiment capture. The post says Lila has built more than 10 trillion experimentally validated “scientific reasoning tokens,” not internet text or biological sequences.The interview ranges across biology, chemistry, drug discovery, materials science, and the limits of automation. It notes that Lila rebuilt one gas-sorption measurement to run roughly 2,500 times faster, claims its general models can transfer priors from small-molecule chemistry to metal-organic frameworks for carbon capture, and describes model-suggested platinum-group-free electrocatalysts that moved from looking boring or wrong to becoming strong performers. The caveats are physical: experiments have runtimes, biology cannot always be accelerated, chains of thought can be unreliable narrators, and reward hacking becomes more dangerous when a model controls a real lab.Read more: Latent.SpaceWhy AMI Labs' Alexandre LeBrun won't call his AI “AGI” or “superintelligence”Kate Park | TechCrunch | July 16, 2026Kate Park interviews AMI Labs CEO Alexandre LeBrun about why Yann LeCun's world-model startup avoids the language of “AGI” and “superintelligence.” LeBrun says the terms are not useful because they lack stable definitions: “We never used the word AGI. And I just noticed that nobody is using it anymore; they switched to superintelligence.” His argument is that the practical frontier is not a label, but whether AI systems can understand and predict real-world states.The article explains the world-model thesis by contrasting language prediction with physical-state prediction. A large language model predicts the next word; a world model predicts the next state, such as what happens when a glass tips over. LeBrun says LLMs remain complementary and efficient for language, but the physical world is where current AI is weak. Robotics is the clearest case: hardware has advanced quickly, but robots are still brittle outside controlled routines because they lack context and situational understanding.AMI is still pre-product, but TechCrunch reports that LeBrun was in Seoul looking for industrial partners, researchers, and global companies. He says world models cannot be built entirely inside a lab because they need access to real environments. That is why South Korea appeals to AMI: robotics, semiconductors, manufacturing, and fast adoption create the kind of hardware-heavy context that software-only AI has barely touched.Read more: TechCrunchKimi K3 Tech Blog: Open Frontier IntelligenceKimi | Kimi | July 16, 2026Kimi introduces Kimi K3 as an open 3T-class frontier model aimed at coding, knowledge work, reasoning, multimodality, and long-context agentic use. The source describes the model as a 2.8T-parameter system built on Kimi Delta Attention and Attention Residuals, with native multimodality and a 1M-token context window. It says Moonshot AI plans to release model weights by July 27.The post presents K3 through benchmark and use-case sections rather than as a general product announcement. It reports results across coding, productivity, agentic, and multimodal evaluations, including DeepSWE, Terminal-Bench 2.1, Program Bench, SWE Marathon, FrontierSWE, PostTrain Bench, OfficeQA Pro, SpreadsheetBench 2, MCP Atlas, AutomationBench, BrowseComp, GDPval-AA v2, AA-Briefcase, MMMU-Pro, MathVision, BabyVision, OmniDocBench, and PerceptionBench. The source says all reported K3 results use maximum reasoning effort with temperature and top-p set to 1.0, and that different benchmark comparisons use KimiCode, Claude Code, or Codex harnesses depending on the test.Kimi's caveats are unusually concrete. The limitations section says K3 was trained in preserved thinking-history mode, so quality may become unstable if an agent harness does not pass historical thinking content correctly or if an ongoing session switches to K3 midstream. It also says K3's emphasis on long-horizon tasks can make it excessively proactive when it encounters minor issues or ambiguous intent, and recommends imposing explicit behavioral constraints for applications that require strict boundaries. The post adds that K3 remains behind Claude Fable 5 and GPT 5.6 Sol in user experience despite being competitive overall.Read moreVenture CapitalThree Years InAuthor: Tomasz Tunguz Published: July 10, 2026Tomasz Tunguz marks Theory Ventures' third anniversary by arguing that AI's central market effect is time compression. In his telling, model release cycles, company revenue milestones, enterprise adoption, and venture categories have all accelerated. Seed, Series A, and Series B still exist as financing labels, but they no longer cleanly describe company maturity when some seed rounds are larger than IPOs and the best AI companies can mature much earlier than prior software companies.The killer detail is the shift from models to inference. Tunguz argues that inference has become the dominant AI market because workloads and buyer preferences are fragmenting: video, batch, local, agentic, and real-time tasks each create different infrastructure needs. He compares this to databases splitting into OLTP, OLAP, vector, and streaming categories, with AI pushing the same specialization into inference infrastructure.The pull is that Theory sees the AI-native venture firm as part of the same pattern. The firm says it has analyzed twice as many investment opportunities with three investors working alongside a nine-person intelligence organization, using agents and research systems to map markets, source companies, and support diligence. The piece is both a market map and a statement about how venture itself is being rebuilt by the technology it funds.Read more: LinkedInVenture Has Rarely Looked More BifurcatedAuthor: Beezer Clarkson Published: July 14, 2026Beezer Clarkson points to PitchBook's Q2 report as evidence that the U.S. venture market has split into two very different realities. AI now accounts for more than 60 percent of all U.S. venture deal value, meaning the headline market can look active and well-funded even while much of the non-AI market is dealing with a much colder liquidity and fundraising environment.The thread uses that split as the setup for Clarkson's latest Origins episode with Alec Litowitz, founder of Magnetar and QStar Capital and one of Citadel's original founding partners. Clarkson says markets like this are periods of genuine uncertainty, not merely ordinary risk, which is why Litowitz's Adaptability Quotient framework is relevant.The embedded clip makes the liquidity point concrete. Litowitz says DPI is “the resolution of uncertainty” because it converts an uncertain investment into actual cash returned to LPs. In his framing, a realized dollar is a real mark, while TVPI remains uncertain until it is realized.The killer detail is the distinction between pricing risk and resolving uncertainty. Litowitz's perspective matters because QStar is a SpaceX investor and Clarkson says the conversation happened just before one of venture's most consequential IPOs. The episode's stated questions are why venture remains a way to gain exposure to innovation, how AI is changing what is investable, why liquidity is ultimately a function of time, and why uncertainty requires a different decision framework from risk.Read more: XThe Best Angel Investors in the US: Who Backs the Most Unicorns, and Who's Active NowAuthor: Ilya Strebulaev Published: July 10, 2026Ilya Strebulaev ranks angels, angel groups, accelerators, and incubators by lifetime U.S. unicorn investments, counting checks written before a company reached unicorn status. The top of the combined list is dominated by organizations: Y Combinator leads with 113 unicorn investments, followed by Plug and Play at 52 and 500 Global at 41. Sand Hill Angels is the highest-ranked angel group at 31.The killer detail is how quickly the list changes below the biggest accelerators. Strebulaev says 271 of the 304 investors in the Top 200 are individuals, or 89%. In the top 100, individuals are 91%. That makes the market underneath the large accelerator counts look much more personal: mostly operators and individual angels writing early checks from their own networks.The pull is the ranking's own caveat. Strebulaev writes that every lifetime leaderboard has a blind spot because many of the unicorns behind those totals were founded a decade or more ago, and some angels have since moved into formal funds, slowed down, or stopped investing. His post therefore separates lifetime performance from recent cohorts, including companies founded in 2015 or later and 2020 or later. For founders or allocators making current decisions, that distinction matters: a career record and a current record are not the same measure.Read more: Ilya StrebulaevAre Prediction Markets Doomed to Fail?Author: Contrary Published: July 16, 2026Contrary argues that prediction markets' current boom depends on whether platforms can prove they are more than regulated gambling with exchange-style branding. Kalshi and Polymarket have reached mass cultural, investor, and regulatory attention, but the article says the underlying idea is old: academic markets, corporate forecasting tools, Intrade, PredictIt, and other predecessors all struggled with the same linked problems of liquidity, legality, and user appeal.The killer detail is the comparison with sportsbooks. Prediction markets present themselves as peer-to-peer, transparent, and non-house-based, but sports contracts reportedly account for more than 90 percent of Kalshi trading, and the article says the platforms keep a much thinner slice of volume than sportsbooks. A market can therefore show sports-betting-scale handle while generating far less revenue.The pull is that the product's hardest problem may be distribution of wins. If a small group of sharp traders captures most profits while casual users lose interest, prediction markets may become valuable data feeds and professional tools before they become durable consumer networks.Read more: SourceRegulationExclusive: The Next Frontier of the Deportation Wars: College CampusesAuthor: Adrian Carrasquillo Published: July 11, 2026Adrian Carrasquillo reports that college campuses are becoming a new front in the fight over immigration enforcement because automatic license plate readers can turn ordinary campus security infrastructure into searchable location data. His thesis is that Flock Safety's camera network, even without direct ICE or DHS contracts, can feed deportation enforcement through local police partnerships and data-sharing practices.The killer detail is the campaign target. The Emergency Campaign to Support Higher Education, working with Schools Drop ICE, is focusing on 75 colleges and universities publicly identified as having Flock contracts. Flock says it has no ICE or DHS contracts, but activists argue the risk comes through local agencies that coordinate with federal authorities and run searches on their behalf.The pull is broader than immigration. Carrasquillo notes that license plate readers have already been abused by officers for stalking, and that Flock's AI search features can identify more than plates, including bumper stickers. A campus safety tool can become a political surveillance system when the data layer is searchable.Read more: The BulwarkThe Supreme Court Broke Independent Agencies. Here's a Way to Slow the Damage.Author: Todd Phillips Published: July 12, 2026Todd Phillips argues that the Supreme Court's decision in Trump v. Slaughter damaged independent agencies by ending for-cause removal protections, but did not leave Congress powerless. The ruling weakens the old model in which commissioners at bodies such as the FTC, NLRB, CPSC, SEC, and CFTC could be insulated from dismissal over policy disagreements. Phillips says the next fight is whether presidents can turn nominally bipartisan commissions into one-party instruments.The killer detail is the procedural fix: quorum rules. Phillips proposes that Congress require bipartisan slates of commissioners to be seated before independent agencies can act. A president could still fire commissioners, as the Court now permits, but if those firings broke quorum, the agency would be unable to proceed until replacements were confirmed. The guardrail would
JOIN PATREON FOR EARLY UNCENSORED EPISODE RELEASES: https://www.patreon.com/JulianDorey CLIPPERS DISCORD: https://discord.gg/8QmWEKJ3BT (***TIMESTAMPS in Description Below) ~ Fat Electrician and Veteran w/ a Sign are both veterans and YouTube creators. They have their own channels and multiple podcasts including "Unsubscribe Podcast" & "Underwhelming Podcast." FAT ELECTRICIAN's LINKS: - YT: https://www.youtube.com/@the_fat_electrician - POD: https://www.youtube.com/@unsubscribepodcast - IG: https://www.instagram.com/the_fat_electrician/?hl=en VETERAN w/ A SIGN's LINKS: - IG: https://www.instagram.com/veteranwithasign/?hl=en - POD: https://www.youtube.com/@UnderwhelmingPodcast FOLLOW JULIAN DOREY INSTAGRAM (Podcast): https://www.instagram.com/juliandoreypodcast/ INSTAGRAM (Personal): https://www.instagram.com/julianddorey/ X: https://twitter.com/julianddorey JULIAN YT CHANNELS - SUBSCRIBE to Julian Dorey Clips YT: https://www.youtube.com/@juliandoreyclips - SUBSCRIBE to Julian Dorey Daily YT: https://www.youtube.com/@JulianDoreyDaily - SUBSCRIBE to Best of JDP: https://www.youtube.com/@bestofJDP ****TIMESTAMPS**** 0:00 - Live podcasting and military transition 11:23 - Aldi, Poisoned American food & politics 26:19 - Agriculture, Iowa cancer & NJ Pumping Gas Argument 42:02 - AI, Thiel & skilled trades 53:18 - Trades, YouTube & corporate inefficiency 1:02:50 - Social security & opioid crisis 1:13:10 - Boomers, democracy flaws, voting barriers 1:22:56 - Voting tests and civil service 1:33:00 - Poverty, 9/11 & joining military 1:42:02 - Afghanistan deployment & Marja invasion 1:54:00 - Combat losses & supportive wives 2:07:55 - Marrying your high school sweetheart 2:08:57 - Logan Weston: The Fighting Preacher 2:23:08 - Merrill Marauders & bayonet charges 2:24:40 - Military history & political wars 2:43:35 - Afghanistan withdrawal & veteran healing 2:58:20 - Meeting online & veteran PTSD 3:08:18 - Systemic abuse & Afghan reality 3:26:49 - Fat Electrician & VWAS's Work CREDITS: - Host, Editor & Producer: Julian Dorey - COO, Producer & Editor: Alessi Allaman - https://www.youtube.com/@UCyLKzv5fKxGmVQg3cMJJzyQ - In-Studio Producer: Joey Deef Julian Dorey Podcast Episode 446 - Fat Electrician & Veteran w/ a Sign Music by Artlist.io Learn more about your ad choices. Visit podcastchoices.com/adchoices
Dear Elon,Congratulations on your initial public offering of SPCX.Google's AI says, “The blockbuster debut briefly made Elon Musk the world's first trillionaire on paper.”The words “briefly” and “on paper” dim the dazzling brightness of the word “trillionaire” a little, but still, it's a pretty big deal.I'm sure that Errol and Maye are super-proud.You've come a long way since you started Zip2 with your brother, Kimball, in 1995.Who would have ever thought that a company that created online city guides for newspapers would sell for $307 million after just 3 and 1/2 years in business?Your 7% was only worth $22 million, but still, that's a lot of pocket money for a 27-year-old boy.Your decision to partner up with Ed Ho, Harris Fricker, and Christopher Payne to create “X,” and then merge with your biggest competitor so that all of you could survive the bursting of the dotcom bubble, well, that was another brilliant move.It worked out well for Max Levchin and Peter Thiel, too. You and Thiel and Ho, Fricker, Payne and Max created Paypal at exactly the right time.Well done, all of you!But of all your accomplishments, the one that impresses me the most is the frictionless website that you built to sell cars.Every Tesla owner that I have ever met has admitted to being marveled by how easy it was to buy a new Tesla. Five minutes online and $500 on a credit card leaves the customer sitting there, mildly stunned, asking themselves. “Did I really just buy a car? Can it really be that easy?”Elon, when people marvel at something, the thing that marvels them can rightfully be called marvelous.Elon, your Tesla website is marvelous.And the car is marvelous.Except for one thing. Can we talk about that one thing for a moment?Shortly after my wife Pennie bought her Tesla, I saw that we had a sheet rock screw embedded in the center of the tread in the right rear tire.Pennie said, “No problem, Tire Service is one of the things that my Tesla app says they can do right in our driveway.”So she pulled out her phone and quickly ordered and paid for Tire Service.When the tire guy showed up he said, “Yep. That's definitely a sheet rock screw and it's definitely an easy fix, but I can only do tire rotations. Take this to the Tesla service center and I'm sure they will do it for free.”When Pennie got back from the service center, she said that your service manager told her that the tire could not be fixed because it had a scuff on the sidewall, so he sold her a $400 new tire.Obviously, I should have gone with her.Was she cheated out of $400? Yes. In my opinion, she was cheated out of four hundred dollars.Have we been cheated by other people for more money than that? Yes.Life goes on.Elon, you and I both know that no car on earth – not even your Tesla – is equipped with onboard sensors that can monitor the depth of the tire tread on a tire. So I can only assume that this annoying “tire tread” warning light that has been front-and-center on our dash ever since she visited your service center was most likely put there by the same aggressive salesman who already sold my wife a tire that she did not need. I'm sure you can understand why I will never visit another Tesla service center.Can we resolve this like honorable men?Elon, I will Venmo you another $400 if you will tell your service manager to press the button that will make the annoying “tire tread warning” light disappear from the dash of my wife's car.You can keep the tire. I don't need it, just like I didn't need the first one. But I really do need that annoying dash light to go away.I will even Paypal you the $400 if you prefer.Again, congratulations on briefly becoming the world's first “on paper” trillionaire.– Roy H. Williams
JOIN PATREON FOR EARLY UNCENSORED EPISODE RELEASES: https://www.patreon.com/JulianDorey CLIPPERS DISCORD: https://discord.gg/8QmWEKJ3BT FOLLOW JULIAN DOREY IG: https://www.instagram.com/julianddorey/ X: https://x.com/juliandorey FOLLOW JOEY DEEF IG: https://www.instagram.com/joeydeef/ X: https://x.com/TokeMalone JULIAN YT CHANNELS - SUBSCRIBE to Julian Dorey Clips YT: https://www.youtube.com/@juliandoreyclips - SUBSCRIBE to Julian Dorey Daily YT: https://www.youtube.com/@JulianDoreyDaily - SUBSCRIBE to Best of JDP: https://www.youtube.com/@bestofJDP ****TIMESTAMPS**** 0:00 - Deef's fingers in danger 1:58 - Today's investigation 3:33 - Julian expands upon last week's Jay Clayton findings 7:50 - Apollo Lawyer Andrew Levander's Epstein Relationship 14:13 - Epstein Bounty Hunter & Ponzi Scheming Timeline 16:46 - The Drysdale Affair 21:38 - Epstein Client's Lost Money from Drysdale Affair 22:20 - Andrew Levanders SHADY clients 27:10 - Iran Contra & Al-Yamama Arms Deals in same era 28:35 - NEW Story on Epstein's “Prison” Office 34:10 - Epstein's Lawyer LIED to court and it was ignored 37:34 - Epstein's Office Incredible Amenities & Perks 39:55 - Epstein's favorite book & “it's been a great ride, America” 43:04 - Epstein & Ehud Barak's Israeli Mercenaries in Africa Story 50:06 - Julian left Douglas Rushkoff SPEECHLESS over Billionaire Bunker Seekers (STORY) 53:54 - Peter Thiel's latest “1984” Global Takeover Plan 57:50 - Thiel's New Product is only made for Rich People, “Anonymous Sources” arguments 59:53 - Thiel's “AI Tribunal”-Run Media Hellscape 1:01:06 - Thiel's “Objection” Product in action…on behalf of THE SACKLER FAMILY 1:05:14 - Peter Thiel's Weird Hatchet Man, Aron D'Souza 1:10:58 - Julian UNLOADS on Thiel's future media hellscape 1:13:40 - 250 years ago, something very special happened 1:15:56 - The critical moment we are in as a nation in 2026 1:18:22 - Ben Franklin's 4 WARNINGS to America 1:24:46 - George Washington's 3 WARNINGS to America 1:29:06 - BIDEN & Founding Fathers' System 1:30:22 - TRUMP & Founding Fathers System 1:34:07 - The Epstein Class 1:34:50 - How America has STRAYED from Founding Fathers' System 1:35:41 - Why, at 250 Years, America's Good has Outweighed Bad 1:36:31 - The Ultimate Question America now faces 1:38:10 - Happy July 4th! CREDITS: - Host, Editor & Producer: Julian Dorey - COO, Producer & Editor: Alessi Allaman - https://www.youtube.com/@UCyLKzv5fKxGmVQg3cMJJzyQ - In-Studio Producer: Joey Deef Julian Dorey Podcast Episode 444 - Julian Dorey Music by Artlist.io Learn more about your ad choices. Visit podcastchoices.com/adchoices
https://rhr.tv/stream Bitcoin Crowdfunding for Venezuela Earthquake Relief Supplies https://x.com/pakovm/status/2070254848814288935 Strike Now Authorized Under MiCA Across All 27 EU Countries https://x.com/jackmallers/status/2072353197650518196 Bark Wallet Solves Offchain State Backups with Encrypted Snapshots https://x.com/notgrubles/status/2072386304642286029 Blink Wallet Introduces Non-Custodial Accounts https://blink.sv/blog/non-custodial-accounts-in-blink-wallet Calvin Kim Receives OpenSats Long-Term Support Grant https://opensats.org/blog/calvin-kim-receives-lts-grant OpenSats Developer Spotlight: Egge (Coco) https://opensats.org/blog/developer-spotlight-egge-coco OpenSats Developer Spotlight: Rajarshi Maitra https://opensats.org/blog/developer-spotlight-rajarshi-maitra OpenSats Grant Map https://opensats.org/map BitGo CEO Announces ~15% Workforce Reduction for Strategic Focus https://x.com/mikebelshe/status/2070240967479996463 Strategy Announces Digital Credit Capital Framework https://www.strategy.com/press/strategy-announces-digital-credit-capital-framework_06-29-2026 Cambodia Launches Smart Policing Initiative in Phnom Penh Cambodia's Ministry of Interior formally launched a China-backed “Smart Police” initiative in the capital city of Phnom Penh. The new policing system will connect 487 cameras equipped with AI-powered identity and vehicle tracking and send all video feeds into a new centralized command center. To support the rollout, Chinese-backed regional security partners are providing financial and technical support for the project and have pledged to expand the camera grid in the future. Cambodian officials say the project will protect residents and tourists. But in a country where dissent is overtly and systematically punished, these new AI-powered systems can easily double as a surveillance machine capable of identifying anyone who criticizes the ruling party. FinancialFreedomReport.org Ashigaru Terminal v1.0.0 Released: Whirlpool Coinjoin Client Built from Sparrow https://ashigaru.rs/news/release-terminal-v1-0-0/ COLDCARD 5.5.1 and 1.4.1Q Firmware: BIP-322 Proof of Reserves, WIF Store, and Secure Notes Upgrades https://blog.coinkite.com/coldcard-5.5.1-1.4.1q-release/ Wasabi Wallet v2.8.0 Release https://github.com/WalletWasabi/WalletWasabi/releases/tag/v2.8.0 Noah v0.1.3 Release https://github.com/smolcars/noah/releases/tag/v0.1.3 New Checkout Method for in Person BTCPay Stores https://x.com/MrKukks/status/2072677988026421484 Bitcoin Core secp256k1 Pull Request #1884 https://github.com/bitcoin-core/secp256k1/pull/1884 Tails 7.9.1 Release https://tails.net/news/version_7.9.1/ Open Standard Introduces Open USD https://joinopenstandard.com/blog/introducing-open-usd The Secret History of Polymarket – Part 1: DARPA, Thiel, and Prediction Market Origins https://unlimitedhangout.com/2026/06/investigative-series/the-secret-history-of-polymarket-part-1/ Claude Code Accused of Hiding China Proxy Fingerprints Inside System Prompts https://www.internationalcyberdigest.com/claude-code-accused-of-hiding-china-proxy-fingerprints-inside-system-prompts/ Foreign Influence Campaign Against American AI – Part II: Singham Ground Game https://www.btcpolicy.org/articles/foreign-influence-campaign-against-american-ai-part-ii-singham-ground-game AI Drones Rapidly Restoring Degraded Land in Brazil (MORFO) https://x.com/alex_verem/status/2072001777487196662 Home Mining Playbook: https://www.tftc.io/home-mining-energy-playbook 3:33 - Sweaty rip 6:38 - Dashboard 9:28 - Venezuela relief 14:28 - Strike EU 16:13 - Bark 18:43 - Blink 23:23 - Open USD 27:13 - OpenSats 31:03 - BitGo layoffs 32:28 - Strategy update 33:58 - HRF Story of the Week 38:43 - Boosts 44:18 - Software updates 47:58 - Secret history of Polymarket 53:18 - BPI foreign AI 59:38 - MORFO Shoutout to our sponsors: Coinkite https://coinkite.com/ Strike https://strike.me/ Stakwork https://stakwork.ai/ Salt of the Earth https://drinksote.com/rhr Follow Marty Bent: Twitter https://twitter.com/martybent Nostr https://primal.net/marty Newsletter https://tftc.io/martys-bent/ Podcast https://tftc.io/podcasts/ Follow Odell: Nostr https://primal.net/odell Newsletter https://discreetlog.com/ Podcast https://citadeldispatch.com/
GARMENTS AND GATEWAYS - 06.29.2026 - #953 BestPodcastintheMetaverse.com Canary Cry News Talk #953 - 06.29.2026 - Recorded Live to 1s and 0s Deconstructing World Events from a Biblical Worldview Declaring Jesus as Lord amidst the Fifth Generation War! CageRattlerCoffee.com SD/TC email Ike for discount https://CanaryCry.Support Send address and shirt size updates to canarycrysupplydrop@gmail.com Join the Canary Cry Roundtable This Episode was Produced By: Executive Producers Anonymous*** Sir Jamey Not the Lanister*** Sir LX Protocol Baron of the Berrean Protocol*** Producers of TREASURE (CanaryCry.Support) Josie Whales, Rebecca T, Julie S, Monica, Map Watcher Producers of TIME Timestampers: Jade Bouncerson, Morgan E Clankoniphius Links: JAM SIR IKE MEGA BOX GIVEAWAY - Rating/Review, screenshot, send to Sir Ike CanaryCrySupplyDrop@gmail.com CANDACE OWENS/NEPHILIM UPDATE Clip: Says Elon, Thiel, Altman might be hybrids (X) EXECUTIVE PRODUCERS PALANTIR/BEAST FASHION My New Life With the Palantir Chore Coat (The Atlantic) → Palantir clothing store UKRAINE/RUSSIA/WITCHCRAFT The Warrior Witches of Ukraine (Atlantic) Viktor Bout on Tucker Carlson, warning about Ukraine war into Europe (X) Viktor Bout and the re-enchated world war (X) The Foundations of Re-Enchantment (Patheos/Evangelical) → Oxford press highlights the book PRODUCERS END
Episode 4160 │ June 27, 2026 A chairman for life, $17 billion unaudited, and a founding member the ICC wants for killing children. They call it, The Board of Peace. WHAT THIS EPISODE COVERS Dispatch Two of The Eighteenth Brumaire of Donald Trump follows the permission structure documented in Dispatch One into the architecture behind it — tracing the Board of Peace, a privately governed institution chaired for life by President Trump with $17 billion in unaudited sovereign donations held at JP Morgan, no democratic accountability, and a founding member who accepted his seat by phone because Switzerland was legally obligated to arrest him for crimes against humanity if he landed, and the Pentagon technology architecture now being consolidated under a civilian whose own words name Peter Thiel's Palantir as the future of American defense. Scott Kesterson then maps the Peter Thiel network — co-founder of PayPal, Facebook's first outside investor, founder of Palantir, co-founder of the Dialog Society that has operated secretly for 20 years, funder of JD Vance's Senate campaign, and publisher of the 2009 essay stating democracy and freedom are incompatible — against the documented placements of Thiel-connected figures throughout the Trump administration, the Pentagon AI architecture, and the Board of Peace. The episode closes with the Brumaire mechanism named precisely: the most sophisticated influence operation is not the one that lies about the problem — it is the one that tells the truth about the problem and controls the map to the solution. KEY QUESTIONS ADDRESSED What is the Board of Peace — who chairs it for life, who holds its $17 billion in unaudited donations, why could one of its founding members only accept his seat by phone, and where does the $400 million Qatari aircraft go when Trump leaves office? What is the documented relationship between Peter Thiel, JD Vance, Emil Michael at the Pentagon, Palantir's AI targeting architecture, and the Dialog Society — and what does Thiel's own published statement that democracy and freedom are incompatible mean for the institutions being dismantled around it? What is the Brumaire mechanism — and how does the pattern Marx documented in 1852 France, that Paine lived and nearly died for, map onto the America First movement's energy being used to demolish the institutional architecture that constrained the very billionaire class the movement was supposed to challenge? BABOUT BARDSFM BardsFM is a daily independent podcast covering faith, liberty, history, and information warfare. Hosted by Scott Kesterson — combat veteran, documentary filmmaker, and rancher. Over 4,100 episodes and 50 million lifetime downloads. New episodes every weekday. bards.fm This episode was researched and produced under the Sentinel Framework v3 — the analytical methodology built by Scott Kesterson — with AI-assisted research synthesis at a 70/30 human/AI authorship ratio, fully disclosed. All analysis, conclusions, and editorial judgments are those of Scott Kesterson. AFFILIATE LINKS Bards Nation Health Store: www.bardsnationhealth.com MYPillow promo code: BARDS >> Go to https://www.mypillow.com/bards and use the promo code BARDS or... Call 1-800-975-2939. EMPShield protect your vehicles and home. Promo code BARDS: Click here Treadlite Broadforks...best garden tool EVER. Promo code BARDS26: TreadliteBroadforks.com EnviroKlenz Air Purification, promo code BARDS to save 10%: www.enviroklenz.com Morning Intro Music Provided by Brian Kahanek: www.briankahanek.com Founders Bible 20% discount code: BARDS >>> TheFoundersBible.com Windblown Media 20% Discount with promo code BARDS: windblownmedia.com White Oak Pastures Grassfed Meats, Get $20 off any order $150 or more. Promo Code BARDS: www.whiteoakpastures.com/BARDS Mission Darkness Faraday Bags and RF Shielding. Promo code BARDS: Click here DONATIONS: If you wish to support this podcast directly you can donate here... DONATE: Click here MAILING ADDRESS: Xpedition Cafe, LLC Attn. Scott Kesterson 591 E Central Ave, #740
Sam, Dylan, and Dark Smith are back to break down: Dark Smith's job interview to become an escort and the loofah-color swinger code of Florida's villages, the Boyle Heights fire spilling Freon and ammonia while firefighters spray a blaze they can't reach (and the owner being a Karen Bass donor), a documentary trying to abolish the Electoral College, the deep origins of the Vatican built on top of Vatican Hill, the pagan goddess Cybele and the Anatolian mother god Magna Mater brought to Rome via the prophetic Sibylline Books after Hannibal's slaughter at Cannae, the blood-baptism bull-sacrifice rituals later dug up by archaeologists, H.P. Lovecraft's "The Rats in the Walls" and its cannibal cult, the serpent-shaped Vatican auditorium and the Pope's fish-head mitre tied to the Babylonian fish god Dagon (who turns out to be Godzilla), Sam's pitch for roller derby as the next great pro sport, the Iran war being "over" again with IAEA inspectors as the "milestone" achieved by undoing the milestone, Israel allegedly trying to assassinate the negotiators before Trump called them off, Nicki Minaj's distraction-death theory, JD Vance's Thiel-engineered glow-up, the Albanians tearing their country apart over Jared and Ivanka's island and Sam's theory it's about controlling the Strait of Otranto, the nu-metal psyop, military stock buybacks instead of R&D, Bezos prioritizing AI water over "baseline human comfort," and a woman who lost ten years of memory from straining too hard on the toilet. Subscribe and give us that sweet brown hype. Grab Tickets To Sam Tripoli's Live Shows At: https://samtripoli.com/events/ Miami, Fl: 7/31-8/1 Lawerence, KS: 9/17-9/19 Tulsa, OK: 10/9-10/10 Dallas, TX: 11/07 New Orleans, LA: 11/13 - 15 Austin, TX: DEC 11th-13th: Buy Our Merch or Sam Will Fight You: https://conspiracy-social-club-aka-deep-waters.myshopify.com/ Subscribe to the Patreon: https://www.patreon.com/AkaDeepWaters Check out Dylan's instagram - @dylanpetewrenn Check out Deep Waters Instagram: @akadeepwaters Check out Bad Tv podcast: https://bit.ly/3RYuTG0 THANK YOU TO OUR SPONSORS: LUCY.CO/CSC Promo Code "CSC" to get 20% off your first order HIMS.COM/CSC HIMS.COM/CSC for your FREE Online Visit
This episode was deleted by YouTube without much explanation. Inside we discuss Peter Thiel's secretive Dialog group, Charlie Kirk's latest controversy, James Franco's bizarre disclosure video, and the 1000th episode of Tin Foil Hat lead this week's insanity. Plus: Keir Starmer is out, Lindsey Graham's latest war push, the White House joking about Q, Oliver Tree's interests, Trader Joe's tote-bag chaos, and anti-Rogan protesters proving once again that nobody understands Joe Rogan. Sam and Johnny break down the internet's strangest stories, media narratives, political theater, and conspiracy culture.Visit NOCD.com to book a free 15-minute call!For simple, online access to personalized and affordable care for Hair Loss, ED, Weight Loss, and more, visit Hims.com/BROKENSIM. For Sam's dates and more visit samtripoli.com!Get fifteen dollars off your first task at Taskrabbit dot com or on the Taskrabbit app using promo code BROKEN!Get up to $3 million in coverage in as little as 10 minutes at https://ethos.com/broken.More stuff: Get episodes early, and unedited, plus bonus episodes: patreon.com/brokensimulationSocial media: Twitter: @samtripoli, @johnnywoodard Instagram: @samtripoli, @johnnyawoodardBroken Simulation Hosts: Sam Tripoli, Johnny Woodard
DR1Our Tech OverlordsIn our 'Elon Musk's alibi to police was, "It couldn't be my fault; I haven't been at Tesla since they passed my pay package."' headline of the week. Tesla Under Fire After Car Smashes Into Texas Home and Kills 76-Year-Old Grandmother*************** In our 'Hello, my name is Jeff, I have a younger brother and sister, my favorite food is Betty Crocker pancakes, and I am a Coupon-ism major at Columbia University' headline of the week. Jeff Bezos Called Washington Post His Worst Investment and Staff He Laid Off ‘Terrible' People*************** LivingSocial (Written Down 2016): In 2010, Amazon poured $175 million into this daily-deals competitor to Groupon. The daily-deals craze fizzled out quickly, and six years later, LivingSocial was acquired by Groupon for effectively $0In our 'Just tell them it will make their Netflix better' headline of the week. Head of Microsoft Rages at His Fellow CEOs for Admitting What They're Actually Doing to Society With AI*************** “You can't say, hey, all white-collar jobs are gone and this could even be a weapon and we will use all the power to build data centers,” Nadella explained(Microsoft's own AI CEO Mustafa Suleyma, it's worth noting, very recently claimed that AI was on the verge of performing most “professional tasks.”)Nadella is now pushing an approach that factors in the common worker, criticizing those who get excited to announce AI-driven layoffs. “No, how about we think about reorganizing the jobs?”In our 'Mark has super-duper pinky-promised to stop using his $150,000 Patek Philippe watch to time exactly how long it takes a developer to cry' headline of the week. Meta CTO Admits Mark Zuckerberg Has Completely Crushed Employee Spirits*************** In our 'Hey Ma, every time I click on this ad it wipes my butt, buys a dozen frozen turkey burgers, and breaks up with my girlfriend, tell Dad!' headline of the week. These new Amazon ads don't just recommend products—they can make your purchases for you***************MM1In our 'What if I replace the Oreo knockoff brand Kroger Chocolate Lovers Kid-O's with Hydrox in the vending machines? Will you like working here again?' headline of the week. Meta Floats Bigger Snack Budget After AI Shakeup Tanks Employee MoraleIn our 'What if I make it LOOK LIKE your job isn't harming children, so you can tell your Mom at Thanksgiving, "no, we don't hurt children, that's ridiculous!"? Will you like working here again?' headline of the week. Meta lobbies Congress for immunity from lawsuits alleging online harm to childrenIn our 'OK, what if I replace the HYDROX with ACTUAL OREOS in the vending machines? Not even Elon Musk would do that - would you like working here again?' headline of the week. X tells 'neglected' Meta employees that it is hiring and will 'exceed any snack budget offer'In our 'I should have gotten the worst possible grade for GOVERNANCE, not ENVIRONMENT... don't you people read?' headline of the week. Musk Furious After SpaceX Stock Get Worst Possible Environmental GradeIn our 'Free Float data already created influence metrics, says, "make your own ESG data, jerk"' headline of the week. Inside Peter Thiel's Invite-Only Dialog Network: Secret A-B-C Grading System for Billionaires and PoliticiansGrades are assigned based on factors including fame, wealth, influence and political fit: C ratings go to the most prominent figures, A to those who are established but less high-profile, and B to most othersDR2The StupidIn our 'Target screams, you're supposed to fake fire your CEO and make him Executive Chair and promote the COO in times of internal crisis!' headline of the week. Lucid Motors Fires 18% of Workforce and Axes COO Marc Winterhoff as EV Market Slowdown Hits Hard*************** In our 'Target screams, yes exactly!' headline of the week. Domino's names COO Joe Jordan as new CEO amid slowing sales***************Outgoing CEO Russell Weiner will transition to executive chairmanIn our 'Group of experts suggest painting the pool blue to get rid of the problem' headline of the week. ‘ESG Hasn't Gone Away': Group Urges Trump, SEC to Rein In ‘Big Three' Asset Managers' Voting Power Long Term*************** Bull Moose Institute: 8 men, 0 women: ran by Aiden Buzzetti, President | 1776 Project Foundation & Bull Moose ProjectIn our 'Soccer 1, Child Care 0' headline of the week. After forcing workers back to the office, Goldman Sachs and JPMorgan Chase are now letting their staff work remotely—but only for the World Cup*************** In our 'Board members include Kimbal Musk, O.J. Simpson, Dana White, Rebekah Neumann, Elizabeth Holmes, Richard Sackler, John R. Tyson, and John T. Walton' headline of the week. Trump Forms UFO Board to Investigate 'Mothership' Orb Threat Over Sensitive National Security SiteJohn T. Walton (1992-2005), the billionaire son of Walmart founder Sam Walton, died in 2005, when the home-built experimental ultralight aircraft he was piloting crashedUnlike siblings Rob and Jim Walton, who took executive roles, John's involvement emphasized oversight without deep immersion in merchandising or supply chain functionsMM2In our 'Blackrock announces funding a reboot of the movie The Highlander called The Gay Highlander: There Can Be Only One' headline of the week. With the exits of Apple's Tim Cook and Dow's Jim Fitterling, the Fortune 500 is losing two groundbreaking gay CEOs—leaving just one In our 'Lying sociopath is 100% excited about making money, 74% excited about taking a bath, 29% excited to go home to his baby, and 12% excited to eat Hydrox' headline of the week. Sam Altman was ‘0%' excited to be a CEO of a public company—but OpenAI is taking steps to compete in the AI IPO blitz anywayIn our 'Lying sociopath hires man accused of aiding suicide to build product that will destroy humanity' headline of the week. OpenAI Just Hired a Guy Accused of Terrible ThingsNoam Shazeer, cofounder of Character.AI who has been accused of having an AI chatbot that rooted for their customer's suicidesIn our 'Lying sociopath who hired man accused of aiding suicides for product designed to destroy humanity thinks the product will be able to do it by next Christmas' headline of the week. Sam Altman thinks AI will surpass human intelligence by 2030. His rival AI billionaires say it'll be even soonerIn our 'Man who owns everything and has all the money suggests you try out whittling or become a cobbler' headline of the week. Nvidia CEO Jensen Huang says electricians and plumbers will be needed by the hundreds of thousands in the new working world
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────────────────────────────────────────[00:02:56]Final MOU Green-Lights an Iran-Oman Toll Regime on the Strait30 days for Iran and Oman to define maritime administration; Knight: buying his way out of a tar baby.────────────────────────────────────────[00:05:58]Vance Claims Anytime-Anywhere Inspections — Not a Word of That Is in the MOUNeither the original nor final version contains inspection language.────────────────────────────────────────[00:12:33]$300B Iran Fund Tops Double the Inflation-Adjusted Marshall PlanMarshall Plan: $137B in 2025 dollars across a dozen nations; this goes to Iran alone after $113B in US bombs.────────────────────────────────────────[00:20:00]Trump Denied the Fund Exists Mid-Press Conference — Then Described How It WorksCalled it false, then explained the funding mechanism in the same breath.────────────────────────────────────────[00:26:12]Pentagon Budget Just Hit $1 Trillion — Hegseth Now Wants 50% MorePost-Iran war request; taxpayers paid for the bombs and will pay for the rebuild.────────────────────────────────────────[00:58:47]Knight Predicts Israel Sabotages the Deal Before 60 Days Are UpZionist media trained on Trump; he'll fold, restart the war, and blame Iran.────────────────────────────────────────[01:29:03]Palantir Got $1B+ in Contracts After Donating to Trump's BallroomThiel's Dialogue leak confirms Epstein attended; members asked if they were "looking for love."────────────────────────────────────────[01:30:36]Thiel's Secret Elite Network "Dialogue" Gets Hacked — Full Member Data ExposedNever had a public website; leaked: birth dates, mobiles, emergency contacts, 2031 predictions.────────────────────────────────────────[01:33:14]Nvidia CEO Says America Must Adapt to AI — Society Needs New Social NormsHwang demands mandatory adoption; Knight: corporations used to ask what people wanted, now mandate it.────────────────────────────────────────[02:01:27]UK Rape Inquiry: Girls as Young as 13 Forcibly Married Under Sharia, State Facilitated ItSocial workers attended; one victim had eight forced abortions; fostering payments went to abusers. ──────────────────────────────────────── Money should have intrinsic value AND transactional privacy: Go to https://davidknight.gold/ for great deals on physical gold/silver For 10% off Gerald Celente's prescient Trends Journal, go to https://trendsjournal.com/ and enter the code “KNIGHT” For high quality made in America products go to HomeSteadProducts.shop and use promo code “Knight” for 10% off your purchases Find out more about the show and where you can watch it at TheDavidKnightShow.com If you would like to support the show and our family please consider subscribing monthly here: SubscribeStar https://www.subscribestar.com/the-david-knight-show Or you can send a donation throughMail: David Knight POB 994 Kodak, TN 37764Zelle: @DavidKnightShow@protonmail.comCash App at: $davidknightshowBTC to: bc1qkuec29hkuye4xse9unh7nptvu3y9qmv24vanh7Become a supporter of this podcast: https://www.spreaker.com/podcast/the-david-knight-show--2653468/support.
────────────────────────────────────────[00:02:56]Final MOU Green-Lights an Iran-Oman Toll Regime on the Strait30 days for Iran and Oman to define maritime administration; Knight: buying his way out of a tar baby.────────────────────────────────────────[00:05:58]Vance Claims Anytime-Anywhere Inspections — Not a Word of That Is in the MOUNeither the original nor final version contains inspection language.────────────────────────────────────────[00:12:33]$300B Iran Fund Tops Double the Inflation-Adjusted Marshall PlanMarshall Plan: $137B in 2025 dollars across a dozen nations; this goes to Iran alone after $113B in US bombs.────────────────────────────────────────[00:20:00]Trump Denied the Fund Exists Mid-Press Conference — Then Described How It WorksCalled it false, then explained the funding mechanism in the same breath.────────────────────────────────────────[00:26:12]Pentagon Budget Just Hit $1 Trillion — Hegseth Now Wants 50% MorePost-Iran war request; taxpayers paid for the bombs and will pay for the rebuild.────────────────────────────────────────[00:58:47]Knight Predicts Israel Sabotages the Deal Before 60 Days Are UpZionist media trained on Trump; he'll fold, restart the war, and blame Iran.────────────────────────────────────────[01:29:03]Palantir Got $1B+ in Contracts After Donating to Trump's BallroomThiel's Dialogue leak confirms Epstein attended; members asked if they were "looking for love."────────────────────────────────────────[01:30:36]Thiel's Secret Elite Network "Dialogue" Gets Hacked — Full Member Data ExposedNever had a public website; leaked: birth dates, mobiles, emergency contacts, 2031 predictions.────────────────────────────────────────[01:33:14]Nvidia CEO Says America Must Adapt to AI — Society Needs New Social NormsHwang demands mandatory adoption; Knight: corporations used to ask what people wanted, now mandate it.────────────────────────────────────────[02:01:27]UK Rape Inquiry: Girls as Young as 13 Forcibly Married Under Sharia, State Facilitated ItSocial workers attended; one victim had eight forced abortions; fostering payments went to abusers. ──────────────────────────────────────── Money should have intrinsic value AND transactional privacy: Go to https://davidknight.gold/ for great deals on physical gold/silver For 10% off Gerald Celente's prescient Trends Journal, go to https://trendsjournal.com/ and enter the code “KNIGHT” For high quality made in America products go to HomeSteadProducts.shop and use promo code “Knight” for 10% off your purchases Find out more about the show and where you can watch it at TheDavidKnightShow.com If you would like to support the show and our family please consider subscribing monthly here: SubscribeStar https://www.subscribestar.com/the-david-knight-show Or you can send a donation throughMail: David Knight POB 994 Kodak, TN 37764Zelle: @DavidKnightShow@protonmail.comCash App at: $davidknightshowBTC to: bc1qkuec29hkuye4xse9unh7nptvu3y9qmv24vanh7Become a supporter of this podcast: https://www.spreaker.com/podcast/the-real-david-knight-show--5282736/support.
Sebastian Mallaby (@scmallaby) is the Paul A. Volcker senior fellow for international economics at the Council on Foreign Relations, a two-time Pulitzer Prize finalist, and the author of six books, including More Money Than God, The Power Law, The Man Who Knew, and The World's Banker. His latest book is The Infinity Machine: Demis Hassabis, DeepMind, and the Quest for Superintelligence.This episode is brought to you by:Eight Sleep Pod Cover 5 sleeping solution for dynamic cooling and heating: EightSleep.com/TimAG1 Pro all-in-one nutritional supplement: DrinkAG1.com/TimWealthfront high-yield cash account: Wealthfront.com/Tim Wealthfront disclaimer: New clients get 3.30% base APY from program banks + additional 0.75% boost for 3 months on your uninvested cash (max $150k balance). Terms and conditions apply. The Cash Account offered by Wealthfront Brokerage LLC (“WFB”) member FINRA/SIPC, not a bank. The base APY as of 1/30/26 is representative, can change, and requires no minimum. Tim Ferriss, a non-client, receives compensation from WFB for advertising and holds a non-controlling equity interest in the corporate parent of WFB, which creates a conflict of interest. Individual experiences and outcomes will differ. Instant withdrawals may be limited by your receiving firm and other factors. Investment advisory services provided by Wealthfront Advisers LLC, an SEC-registered investment adviser. Securities investments: not bank deposits, not bank-guaranteed or FDIC-insured, and may lose value.*Timestamps[00:00:00] Start.[00:02:11] The twinkly eyed polymath who became Sebastian's next book.[00:06:55] Picking the next book project the way a great VC picks a startup.[00:09:41] Why God keeps crashing the superintelligence party.[00:11:13] Shane Legg's grainy 2009 prophecy — and the nervous giggle.[00:13:11] Ilya Sutskever burns an effigy.[00:13:54] Demis at 4 a.m., hunting God's algorithm.[00:18:43] Super-abundance, Mad Max, and the China shock lesson.[00:22:39] The kitchen debate with Geoff Hinton that flipped Sebastian.[00:24:06] Why a zero-percent chance of doom is indefensible.[00:24:52] Will Washington seize the labs? The Mythos wake-up call.[00:27:18] Anthropic's bull case, bear case, and a dead parent's letter.[00:33:24] Where Sebastian and Benedict Evans part ways.[00:38:16] Is the SaaS apocalypse overdone? One word: Palantir.[00:39:53] The AI friend you'll never switch.[00:41:56] Does Google win consumer AI by default?[00:44:45] Four cities, eight days: China actually talks safety.[00:47:28] A Cold War non-proliferation playbook for AI.[00:49:45] Did the chip export controls actually work?[00:51:49] Burned doves: why Washington swears China won't talk.[00:54:56] "By 2028, the race is over" — one lab boss' bet.[00:59:11] Inside Hikvision: toddlers, sensors, and US sanctions.[01:01:07] Bill Gurley's Uber bet: venture capital perfected.[01:05:18] Luke Nosek bear-hugs DeepMind into existence.[01:10:52] Thiel's heresy: never invest by committee.[01:11:59] How Founders Fund nearly fumbled the deal of the century.[01:14:30] Selling to Google for $650M: a secret British heist?[01:16:41] The Traitorous Eight, gardening leave, and the UK's to-do list.[01:20:55] Ender's Game: "That's really how I see myself."[01:23:42] Too dumb for Gödel, Escher, Bach? Maybe an LLM can help.[01:25:19] If not Demis or Sam, then Dario.[01:26:04] My royalties cliff — and what dropped in late 2022.[01:27:47] Lila Sciences and the labs that run themselves.[01:31:13] Sebastian's billboard: "Prepare your mind."[01:35:14] The one thing Sebastian will never outsource to AI.[01:40:09] Parting thoughts.For show notes and past guests on The Tim Ferriss Show, please visit tim.blog/podcast.For deals from sponsors of The Tim Ferriss Show, please visit tim.blog/podcast-sponsorsSign up for Tim's email newsletter (5-Bullet Friday) at tim.blog/friday.For transcripts of episodes, go to tim.blog/transcripts.Discover Tim's books: tim.blog/books.Follow Tim:Twitter: twitter.com/tferriss Instagram: instagram.com/timferrissYouTube: youtube.com/timferrissFacebook: facebook.com/timferriss LinkedIn: linkedin.com/in/timferrissSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.