Podcasts about flock safety

Flock cameras can help police solve crimes. The hosts argue that the same network can also build a searchable picture of ordinary people's movements. And the proposed "solution" of giving Washington more control may be even worse. Nate and Chuck examine Flock Safety cameras, automated license plate readers, police surveillance, privacy rights, and government accountability. They discuss Thomas Massie's proposal to block federal funding for municipalities that use Flock cameras. They also compare local accountability with federal surveillance programs, revisit the abuses revealed by Edward Snowden, and ask how this technology might have been used during COVID lockdowns. The central question is simple: How much freedom should people surrender for another promise of safety? Chapters 00:00 Concert banter and the Flock setup 02:15 Flock cameras at the neighborhood gate 04:15 Thomas Massie on freedom vs. false security 08:15 The COVID surveillance test 12:00 Private profit vs. authoritarian surveillance 17:30 Local abuse vs. federal accountability 25:00 Officers face allegations, but who checks the feds? 29:15 Federal regulation could entrench Flock 33:00 The libertarian answer 35:15 Drones, safety, and the 1984 problem 38:15 The abyss of total surveillance 43:00 Deflock.org and final thoughts Links Watch All Episodes: https://www.youtube.com/playlist?list=PLi78svKlBr_8o0dDOX8DxO_Wwxu6WYhhA Watch Host Favorites: https://www.youtube.com/playlist?list=PLi78svKlBr__Zu40RL7mWxCuOOe54zgy2 Join the Fed Haters Club @ https://www.goodmorningliberty.us/fedhatersclub Join GML: https://joingml.com [Martens Minute]: https://martensminute.podbean.com/ All links @ gml.bio.link Subscribe, like the video, and tell us in the comments where public safety ends and the surveillance state begins. Share this with someone who still believes "nothing to hide" is a good argument. Follow the podcast and leave a rating and review.

────────────────────────────────────────[00:02:15]Gen Z Leaving Churches Over Trump Support — Knight: The Zionism Is the Hypocrisy They Can SmellYou can call yourself pro-life on abortion while cheering the targeting of a civilian population for land theft; by their fruit you will know them.────────────────────────────────────────[00:07:59]Flock Cameras Have Not Reduced Crime in Atlanta — FBI Statistics Prove ItThe hometown of Flock Safety shows no improvement; not safe for liberty, not effective against crime — same verdict as the jab.────────────────────────────────────────[00:09:33]Massey's Approach Is Better Than Burchett's — Cut Funding to Any Town That Uses FlockBurchett's bill requires deletion in 30 days; Massey's bill pulls funding entirely; Knight: that's why Massey's won't get to the floor.────────────────────────────────────────[00:17:44]Marsha Blackburn Calls Data Centers a Local Decision — Thinks It's About Storing Telephone DataEither dangerously stupid or completely misinformed; data centers are surveillance centers, not telephone storage; communities overwhelmingly oppose them.────────────────────────────────────────[00:53:58]Flock Funding Traces Back Through Thiel's Founders Fund to a Former Israeli PM and Jeffrey Epstein's MoneyChina is not allied with Palantir; Israel is; the narrative that China is behind the surveillance opposition is the inversion of the truth.────────────────────────────────────────[00:58:09]Google Tracked Two Phones With No SIM Cards, No Wi-Fi, One in Airplane Mode — Sent 300 Kilobytes on ReconnectThe airplane mode phone logged more locations than the connected one; every stop tracked including a children's hospital and a private school.────────────────────────────────────────[01:05:03]Caitlin Johnstone: They're Amputating Our Humanity and Selling It Back as a Digital ProsthesisThe AI business model is selling freedom from discomfort — learning, risk, relating; all the best things in life sit on the other side of discomfort.────────────────────────────────────────[01:15:17]Border Patrol Seized Max Blumenthal's Phones After Laura Loomer Targeted Him — Judge Says Government Must Prove It Didn't Break InBlumenthal covered the Ayatollah's funeral; a federal judge ruled advanced cell phone searches require a warrant under 4th Circuit case law.────────────────────────────────────────[01:51:40]Trump's Aluminum Tariffs Have Not Produced More Aluminum in Eight Years — His Own Commerce Secretary Admits ItLutnick says domestic supply is still insufficient; Trump's solution is more tariffs; Knight: he is a New York City Democrat taxing his way to prosperity.────────────────────────────────────────[01:57:07]Trump Tariff Refunds Go to Walmart ($10B), Target, Costco, Nike — Households Don't Get Their $1,900 BackMassey retweeted: over $100 billion in corporate profit was created when tariffs were collected and refunded to large companies while households get nothing. ──────────────────────────────────────── 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.

────────────────────────────────────────[00:02:15]Gen Z Leaving Churches Over Trump Support — Knight: The Zionism Is the Hypocrisy They Can SmellYou can call yourself pro-life on abortion while cheering the targeting of a civilian population for land theft; by their fruit you will know them.────────────────────────────────────────[00:07:59]Flock Cameras Have Not Reduced Crime in Atlanta — FBI Statistics Prove ItThe hometown of Flock Safety shows no improvement; not safe for liberty, not effective against crime — same verdict as the jab.────────────────────────────────────────[00:09:33]Massey's Approach Is Better Than Burchett's — Cut Funding to Any Town That Uses FlockBurchett's bill requires deletion in 30 days; Massey's bill pulls funding entirely; Knight: that's why Massey's won't get to the floor.────────────────────────────────────────[00:17:44]Marsha Blackburn Calls Data Centers a Local Decision — Thinks It's About Storing Telephone DataEither dangerously stupid or completely misinformed; data centers are surveillance centers, not telephone storage; communities overwhelmingly oppose them.────────────────────────────────────────[00:53:58]Flock Funding Traces Back Through Thiel's Founders Fund to a Former Israeli PM and Jeffrey Epstein's MoneyChina is not allied with Palantir; Israel is; the narrative that China is behind the surveillance opposition is the inversion of the truth.────────────────────────────────────────[00:58:09]Google Tracked Two Phones With No SIM Cards, No Wi-Fi, One in Airplane Mode — Sent 300 Kilobytes on ReconnectThe airplane mode phone logged more locations than the connected one; every stop tracked including a children's hospital and a private school.────────────────────────────────────────[01:05:03]Caitlin Johnstone: They're Amputating Our Humanity and Selling It Back as a Digital ProsthesisThe AI business model is selling freedom from discomfort — learning, risk, relating; all the best things in life sit on the other side of discomfort.────────────────────────────────────────[01:15:17]Border Patrol Seized Max Blumenthal's Phones After Laura Loomer Targeted Him — Judge Says Government Must Prove It Didn't Break InBlumenthal covered the Ayatollah's funeral; a federal judge ruled advanced cell phone searches require a warrant under 4th Circuit case law.────────────────────────────────────────[01:51:40]Trump's Aluminum Tariffs Have Not Produced More Aluminum in Eight Years — His Own Commerce Secretary Admits ItLutnick says domestic supply is still insufficient; Trump's solution is more tariffs; Knight: he is a New York City Democrat taxing his way to prosperity.────────────────────────────────────────[01:57:07]Trump Tariff Refunds Go to Walmart ($10B), Target, Costco, Nike — Households Don't Get Their $1,900 BackMassey retweeted: over $100 billion in corporate profit was created when tariffs were collected and refunded to large companies while households get nothing. ──────────────────────────────────────── 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.

This week on The Necessary Conversation, Chad, Haley,  and Mary Lou discuss week 23 of Trump's illegal war with Iran, and the possibility that it could be the beginning of World War 3.

CreepGeeks Podcast Episode 365 INTRO  You're listening to CreepGeeks Podcast! This is Season 10, Episode 365 Jimothy, Ancient Swords Everywhere, Adversarial Clothing, Flock Cameras, Ghost House-Sitting in Japan, and Sharkzilla. Welcome to CreepGeeks Podcast! We broadcast paranormal news and share our strange experiences from our underground bunker in the mountains of Western North Carolina.  THIS EPISODE IS BROUGHT TO YOU BY BARLEY'S BITES Barley's Bites Barley's Bites is dedicated to providing top-quality, home-made dog treats for every doggo to enjoy. Our treats are made with fresh, healthy ingredients and no harmful chemicals, ensuring your pet receives the best possible nutrition.  Jack loves them, and the dog neighbors approve. Made in New Mexico! Thanks, Kristen and Dave, for sending Jack and us some tasty treats! 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Listener Messages- Hey y'all, American married to a Scot here, just wanted to offer my two cents about allergies and the U.K. Allergies are indeed a thing over there. Even with all the rain and lack of sun, allergies exist. Most of the allergies are to the trees, grass, and the mold (from all the moisture). While they do not have the yellow bomb that we get here in the U.S., it manifests in its own hellish way. The Scotsman and the kiddos cannot tolerate trees and grass. I erroneously thought when I moved over there that my American-borne allergies would decrease - @#$% that...nope. Something that makes the allergies worse is that many have allergy-induced asthma (mostly with the damp and cold weather). Last Episode Follow-Up:  Campbell's Soup, No Artificial Meat!  WORLD NEWS: Man finds 2,700 yr old sword sticking upright in Poland's forests 6 yr old finds ancient viking sword upright in field (Norway) Hiker finds 1500 yr old gold sword under tree WEIRD NEWS: 'Adversarial clothing': are garments designed to confuse facial recognition systems about to go mainstream? How you could live to 190: Scientists discover the ultimate limit of the human lifespan  Paranormal: Would you spend the night inside a haunted house for 88000 yen? Inside the world of Japan's ghost real estate industry CRYPTID:  UFO /UAP:  SCI-FI NEWS: SCIENCE: AI audit shows over 20 Georgia Police officers misusing FLOCK Cameras Georgia FBI investigates A Virginia engineer, Jeffrey Scott Sovern, has pleaded not guilty after being accused of destroying 13 AI-powered license plate reader cameras operated by Flock Safety. Rutherfordton Cameras Damaged, $3500 to replace, tax payers overwhelming voted against and are being asked to pay for Man Goes Viral for Arrest Relating to Destruction of FLOCK Cameras: "He couldn't have done it" Scientists Have Made a Sweet Discovery in Interstellar Space, Offering Clues to Mystery of Life's Origins - The Debrief  TECH AI: TIKTOK: NATURE: Video: Strange Raccoon Dubbed 'Jimothy' Becomes Viral Sensation  Monster 'Sharkzilla' leaves trail of carnage off New York coast as scientists probe nuclear mutant theory | Daily Mail Online  *AD BREAK* READ: If you like this podcast, subscribe on YouTube, follow on Spotify, review on Apple Podcasts, support on Patreon, and connect with us on Facebook, Twitter, and Instagram @CreepGeeks.  LIBSYN AD *AD BREAK* Bumper Music- SHOW TOPICS: AD- Want to Start your own podcast? https://signup.libsyn.com/?promo_code=CREEP  Looking for something unique and spooky? 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03:48 Homan clashes with CNN's criticisms over fatal ICE shootings 18:31 Officer arrested for using Flock Safety info and giving it to drug target 24:54 Officers fatally shoot man who shot ex-wife 30:43 UK officers sprayed in the face with pepper spray by suspect in wild video 41:31 Cop wins after court rules his firing was not warranted based on a mistake LEO Round Table (law enforcement talk show) Season 11, Episode 152 (2,720) filmed on 07/31/2026 1. https://www.tampafp.com/border-czar-tom-homan-clashes-with-cnns-bash-over-fatal-ice-shootings/ https://www.syracuse.com/politics/cny/2026/07/madison-county-sheriff-will-defy-ny-ags-warning-im-still-going-to-work-with-ice.html https://fox17.com/news/local/we-gotta-ban-these-dadgum-things-congressman-criticizes-flock-cameras-police-respond 2. https://www.wbtv.com/2026/07/30/arrested-charlotte-mecklenburg-police-officer-accused-giving-information-investigation-target/ 3. https://rumble.com/v7dgyik-officers-justified-in-the-fatal-shooting-of-javier-albriza-jara-after-he-sh.html?e9s=src_v1_upp_a 4. https://rumble.com/v7dgyc0-suspect-arrested-after-spraying-policewoman-with-pepper-spray.html?e9s=src_v1_upp_a 5. http://www.metnews.com/articles/2026/officerreinstated_072926.htm Show Panelists and Personalities: Chip DeBlock (Host and retired police detective) Chief Joel F. Shults, Ed.D. (retired chief and author) Randy Sutton (retired police Lieutenant) Sponsors: Galls - Proud to serve America's public safety professionals https://www.galls.com/leo Use 15% OFF Code: RADIO15 Compliant Technologies - Cutting-edge non-lethal tools to empower and protect those who serve https://www.complianttechnologies.net/ The International Firearm Specialist Academy - The New Standard for Firearm Knowledge https://www.gunlearn.com/ MyMedicare.live - save money in Medicare insurance options from the experts http://www.mymedicare.live/ Related Events, Organizations and Books: Force Science Training and Conference Information: Get Ready—Early Registration for Force Science 2026 Conference ​September 22 - 24, 2026 Austin Metro, TX Save $100! Use Code: earlybird26 Also, Connect with Von Kliem on LinkedIn: linkedin.com/in/vonkliemconsulting Ask for the discount code for 15% off online FS courses which can be found at: https://www.forcescience.com/online-courses/ Retired DEA Agent Robert Mazur's works: Interview of Bryan Cranston about him playing Agent Robert Mazur in THE INFILTRATOR film https://vimeo.com/channels/1021727 Trailer for the new book, THE BETRAYAL https://www.robertmazur.com/wp-content/uploads/2023/05/The-Betrayal-trailer-reMix2.mp4 Everything on Robert Mazur https://www.robertmazur.com/ The Wounded Blue - Lt. Randy Sutton's charity https://thewoundedblue.org/ Rescuing 911: The Fight For America's Safety - by Lt. Randy Sutton (Pre-Order) https://rescuing911.org/ Books by panelist and retired Lt. Randy Sutton: https://www.amazon.com/Randy-Sutton/e/B001IR1MQU%3Fref=dbs_a_mng_rwt_scns_share They're Lying: The Media, The Left, and The Death of George Floyd - by Liz Collin (Lt. Bob Kroll's wife) https://thelieexposed.com/ Lt. Col. Dave Grossman - Books, Newsletter, Presentations, Shop, Sheepdogs https://grossmanontruth.com/ Sheriff David Clarke - Videos, Commentary, Podcast, Shop, Newsletter https://americassheriff.com/ Content Partners: Red Voice Media - Real News, Real Reporting https://www.redvoicemedia.com/shows/leo/ ThisIsButter - One of the BEST law enforcement video channels https://rumble.com/user/ThisIsButter The Free Press - LEO Round Table is in their Cops and Crimes section 5 days a week https://www.tampafp.com/ https://www.tampafp.com/category/cops-and-crime/ Video Show Schedule On All Outlets: http://leoroundtable.com/home/syndication/ Syndicated Radio Schedule: http://leoroundtable.com/radio/syndicated-radio-stations/

The Cheat Sheet is The Murder Sheet's segment breaking down weekly news and updates in some of the murder cases we cover. In this episode, we'll talk about cases from Indiana, West Virginia, Texas, and London, England. The BBC's article on Johannes Kongsnes Natland and the Foxtrot Network: https://www.bbc.com/news/articles/cwyqggvyp1doEuropol's statement on Johannes Kongsnes Natland and the Foxtrot Network: https://www.europol.europa.eu/how-we-work/operations/operational-taskforce-grimmABC's article on Johannes Kongsnes Natland and the Foxtrot Network: https://abcnews.com/International/wireStory/norwegian-teenager-convicted-role-murder-hire-ordered-iran-135193057WTOV-9 on the murder of Donna Barger and the arrest of David Barger: https://wtov9.com/news/local/weirton-police-conducting-murder-investigationThe Intelligencer-Wheeling News Register on the murder of Donna Barger and the arrest of David Barger: https://www.theintelligencer.net/news/top-headlines/2026/07/murder-investigation-under-way-in-weirton-one-woman-dead/The Electronic Frontier Foundation's report on Johnson County, Texas and Flock cameras: https://www.eff.org/deeplinks/2025/10/flock-safety-and-texas-sheriff-claimed-license-plate-search-was-missing-person-it404 Media's report on Johnson County, Texas and Flock cameras: https://www.404media.co/a-texas-cop-searched-license-plate-cameras-nationwide-for-a-woman-who-got-an-abortion/Check out our upcoming book events and get links to buy tickets here: https://murdersheetpodcast.com/eventsPre-order our book on Delphi here: https://bookshop.org/p/books/shadow-of-the-bridge-the-delphi-murders-and-the-dark-side-of-the-american-heartland-aine-cain/21866881?ean=9781639369232Or here: https://www.simonandschuster.com/books/Shadow-of-the-Bridge/Aine-Cain/9781639369232Or here: https://www.amazon.com/Shadow-Bridge-Murders-American-Heartland/dp/1639369236Join our Patreon here! https://www.patreon.com/c/murdersheetSupport The Murder Sheet by buying a t-shirt here: https://www.murdersheetshop.com/Check out more inclusive sizing and t-shirt and merchandising options here: https://themurdersheet.dashery.com/Send tips to murdersheet@gmail.com.The Murder Sheet is a production of Mystery Sheet LLC.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Read more from VPM News:  Spanberger has restored voting rights to more than 66,000 Virginians  Virginia 'assault weapons' ban on hold until US Supreme Court hears gun cases    Other links:  Backers of Family Justice Center to seek $2 million from city for startup costs next year (The Richmonder)  Virginia's disability services gap persists despite progress, leaves young adults vulnerable (Virginia Mercury)  Harrisonburg City Council votes to end contract with Flock Safety (29News)  Report reveals cause of fireworks malfunction at Flying Squirrels game (WTVR)  Ticks are taking over in Virginia. Could ODU's 'tick robot' help? (WHRO)  *This outlet uses a paywall.  Our award-winning work is made possible with your donations. Visit vpm.org/donate to support local journalism.

Tech News and Commentary Dave and Chris discuss the largest copyright settlement in U.S. history, National Highway Traffic Safety Administration directive to autonomous vehicle developers regarding interference with first responders and law enforcement, Howard Stern fans canceling SiriusXM subscriptions, Los Angeles Police Department’s suspension of surveillance tech from Flock Safety due to privacy concerns, and […]

El Cerrito police say all Flock Safety license plate-reader cameras in the city are being removed after the City Council chose not to renew its contract with the company, largely due to privacy concerns. The removal process is expected to be completed by August 18, 2026. Flock Safety's automated license plate reader (ALPR) cameras, already controversial because of privacy concerns, are now facing criticism from roadway safety advocates who say some installations may create hazards for motorists Please Like, Comment and Follow 'Philip Teresi on KMJ' on all platforms: --- Philip Teresi on KMJ is available on the KMJNOW app, Apple Podcasts, Spotify, YouTube or wherever else you listen to podcasts. -- Philip Teresi on KMJ Weekdays 2-6 PM Pacific on News/Talk 580 AM & 105.9 FM KMJ | Website | Facebook | Instagram | X | Podcast | Amazon | - Everything KMJ KMJNOW App | Podcasts | Facebook | X | Instagram See omnystudio.com/listener for privacy information.

El Cerrito police say all Flock Safety license plate-reader cameras in the city are being removed after the City Council chose not to renew its contract with the company, largely due to privacy concerns. The removal process is expected to be completed by August 18, 2026. Flock Safety's automated license plate reader (ALPR) cameras, already controversial because of privacy concerns, are now facing criticism from roadway safety advocates who say some installations may create hazards for motorists Please Like, Comment and Follow 'Philip Teresi on KMJ' on all platforms: --- Philip Teresi on KMJ is available on the KMJNOW app, Apple Podcasts, Spotify, YouTube or wherever else you listen to podcasts. -- Philip Teresi on KMJ Weekdays 2-6 PM Pacific on News/Talk 580 AM & 105.9 FM KMJ | Website | Facebook | Instagram | X | Podcast | Amazon | - Everything KMJ KMJNOW App | Podcasts | Facebook | X | Instagram See omnystudio.com/listener for privacy information.

Flock Safety cameras are popping up in communities across the country, but their use has sparked controversy over privacy and public safety. A new bill from Rep. Thomas Massie would block federal funding for cities and police departments that use the controversial license-plate reader technology, arguing it goes too far. Supporters say the cameras help solve crimes and keep communities safer, while critics worry they create a system of constant surveillance. Dan talked with Flock Safety’s Chief Legal Officer, Dan Haley.See omnystudio.com/listener for privacy information.

See omnystudio.com/listener for privacy information.

In Italia non si fanno più figli, e il Dossier natalità 2026 presentato a Roma lo conferma con numeri durissimi: 355mila nascite nel 2025, nuovo minimo storico, e oltre sei italiani su dieci che dichiarano di aver rinunciato a un figlio per ostacoli economici e sociali. Poi voliamo a Cupertino, dove Apple lancia il noleggio degli iPhone: si chiama Apple Upgrade e trasforma lo smartphone in un abbonamento mensile, come Netflix. Infine una storia americana che riguarda i pali della luce: le telecamere di Flock Safety leggono le targhe di ogni auto di passaggio, e decine di poliziotti le hanno usate per pedinare partner ed ex. Quando ogni lampione diventa un occhio, chi controlla chi guarda? Learn more about your ad choices. Visit megaphone.fm/adchoices

Elon Musk’s bold predictions about AI, humanoid robots, and the future of work. Plus, the controversy surrounding the DSA, Fauci’s diary revelations, Thomas Massie’s fight over Flock Safety cameras, the balance between privacy and security, and a look back at Atlanta’s 1996 Olympic bombing. Also featuring birthdays, history, movies, and Pete’s geography challenge.See omnystudio.com/listener for privacy information.

Stu Burguiere and Dave Landau react to the rising concern for Flock Safety cameras across the country. Do we still have time to protect our privacy, or are we too far gone? Lauren Fix, automotive expert and co-host of “The Drive with Lauren and Karl,” joins the guys to discuss how far Flock Safety has gone. Then, Journey's Jonathan Cain is tired of hearing Bruce Springsteen complain about problems in the USA. TODAY'S SPONSORS REAL ESTATE AGENTS I TRUSTFor more information, please visithttp://www.realestateagentsitrust.com Frontier Frontier magazine is a tangible, lasting record of the people, places, traditions, and ideas that make America worth remember. Visit BlazeUnlimited.com/STU and use the promo code FRONTIER40 to get $40 off, including a special bonus. Learn more about your ad choices. Visit megaphone.fm/adchoices

It's 910 days until the legally defined end of the 47th Presidency, but the merit of upcoming elections becomes more suspect as time goes on. In the meantime, we're back in the bunker! We discuss the long term harm of Donald Trump's policies, international travel, and food-borne illness. Cook your lettuce! Other Titles Considered: 47th Rule of Aquisition Spherical Bastard Buddy Dyer's Eldritch Voice Special Show Links: Science: A New Golden Age https://www.whitehouse.gov/science/ Trump Invents the Corporate Pardon https://newrepublic.com/article/213393/trump-corporate-pardons-rise Microsoft intervenes after LG gets caught installing McAfee adware onto Windows 11 PCs via their monitors https://www.windowscentral.com/microsoft/windows-11/microsoft-intervenes-after-lg-gets-caught-installing-mcafee-adware-onto-windows-11-pcs-via-their-monitors Flock Safety and Texas Sheriff Claimed License Plate Search Was for a Missing Person. It Was an Abortion Investigation. https://www.eff.org/deeplinks/2025/10/flock-safety-and-texas-sheriff-claimed-license-plate-search-was-missing-person-it

LAPD suspended its relationship with Flock Safety because of unresolved concerns about data privacy, ownership, and sharing. Flock CEO Garrett Langley says the cameras simply photograph vehicles and license plates, do not use facial recognition, and have helped solve serious crimes. While privacy advocates remain concerned about surveillance and data use, both Flock and LAPD say they are working toward a new agreement that could restore the partnership. GV Wire reports that Fresno police conduct thousands of Flock camera searches every month, but department audits reportedly review only three searches for compliance. Critics say that may not be enough oversight for a powerful surveillance tool, while police maintain the cameras have helped solve homicides and shootings and remain an important public-safety resource. Please Like, Comment and Follow 'Philip Teresi on KMJ' on all platforms: --- Philip Teresi on KMJ is available on the KMJNOW app, Apple Podcasts, Spotify, YouTube or wherever else you listen to podcasts. -- Philip Teresi on KMJ Weekdays 2-6 PM Pacific on News/Talk 580 AM & 105.9 FM KMJ | Website | Facebook | Instagram | X | Podcast | Amazon | - Everything KMJ KMJNOW App | Podcasts | Facebook | X | Instagram See omnystudio.com/listener for privacy information.

LAPD suspended its relationship with Flock Safety because of unresolved concerns about data privacy, ownership, and sharing. Flock CEO Garrett Langley says the cameras simply photograph vehicles and license plates, do not use facial recognition, and have helped solve serious crimes. While privacy advocates remain concerned about surveillance and data use, both Flock and LAPD say they are working toward a new agreement that could restore the partnership. GV Wire reports that Fresno police conduct thousands of Flock camera searches every month, but department audits reportedly review only three searches for compliance. Critics say that may not be enough oversight for a powerful surveillance tool, while police maintain the cameras have helped solve homicides and shootings and remain an important public-safety resource. Please Like, Comment and Follow 'Philip Teresi on KMJ' on all platforms: --- Philip Teresi on KMJ is available on the KMJNOW app, Apple Podcasts, Spotify, YouTube or wherever else you listen to podcasts. -- Philip Teresi on KMJ Weekdays 2-6 PM Pacific on News/Talk 580 AM & 105.9 FM KMJ | Website | Facebook | Instagram | X | Podcast | Amazon | - Everything KMJ KMJNOW App | Podcasts | Facebook | X | Instagram See omnystudio.com/listener for privacy information.

Americans are looking for safety in an increasingly chaotic country. Mass immigration, collapsing social trust, and weakening civic bonds have transformed many communities from places where neighbors knew one another into anonymous zones governed by suspicion. Technology promises an escape from the consequences of those political and cultural failures. Flock Safety cameras appear to offer law and order at the push of a button. In the hands of the ruling class that manufactured the crisis, however, they are more likely to produce tyranny for citizens. Support me and this channel by subscribing to BlazeTV Today and Get $20 off your annual subscription: https://blazetv.com/Auron Follow on: Apple: https://podcasts.apple.com/us/podcast/the-auron-macintyre-show/id1657770114 Spotify: https://open.spotify.com/show/3S6z4LBs8Fi7COupy7YYuM?si=4d9662cb34d148af Substack: https://auronmacintyre.substack.com/ Twitter: https://twitter.com/AuronMacintyre Gab: https://gab.com/AuronMacIntyre YouTube:https://www.youtube.com/c/AuronMacIntyre Rumble: https://rumble.com/c/c-390155 Odysee: https://odysee.com/@AuronMacIntyre:f Instagram: https://www.instagram.com/auronmacintyre/ Learn more about your ad choices. Visit megaphone.fm/adchoices

From Election Fraud to Military Mergers — The Hidden Powers Revealed You're listening to Right On Radio with Jeff. In this wide-ranging episode (recorded July 23), Jeff returns after a short illness to stitch together a rapid-fire collection of clips, guests and commentary focused on the intersections of intelligence agencies, election integrity, global finance and spiritual warfare. Topics covered include former President Trump's recent address and the SAVE Act; allegations tying election fraud to U.S. intel agencies and international partners; the role of major media outlets in shaping public perception; and the long-running claim that elections in Western nations have been controlled for decades. Jeff walks listeners through how local municipal-level fraud feeds a larger top-down system and why proposed reforms may face resistance in Congress and the states. The episode features and analyzes a number of curated clips and guests: coverage of Madison Marquette's conviction and fall from the whistleblower scene; a dramatized “cabal” expose excerpt from The Blacklist; reporting and commentary from alternative media figures such as Greg Reese; and segments on cymatics and frequency healing, including historical references to Chladni and modern claims about Operation Lazarus and DARPA. Jeff also investigates geopolitics and security: excerpts about Israel, potential U.S.–Israeli military and intelligence integration in recent defense legislation, warnings about foreign influence on Western politicians, and the possible erosion of national sovereignty. He examines rising public outrage over surveillance technologies (Flock Safety cameras, AI/predictive policing, vehicle AI systems) and the push toward automated enforcement and digital wallets tied to administrative fines. Spiritual and historical themes run through the show as well: Jeff highlights biblical passages and older translations (Geneva Bible vs. King James), reflections on principalities and powers, and how spiritual narratives intersect with political events. He ties these to long-term networks of financial families, London-centric power structures, and the idea of an exposed “cabal.” What to expect: a collage-format episode combining Jeff's host commentary, multiple sourced clips, investigative threads on election integrity and surveillance, debate about medical suppression vs. emerging frequency-based therapies, and warnings about how top-down power consolidations could affect civil liberties. Jeff closes with community info (website changes, link tree, prayer meetings) and asks listeners for feedback and support as he teases more coverage to come. Listeners should leave prepared for a fast-paced, opinionated program that blends conspiracy-focused analysis, sourced clips, political criticism and spiritual framing—designed to map connections between intelligence agencies, global finance, surveillance technology and cultural control. A study through the bible verse by verse and chapter by chapter. with host Jeff Shepherd. Want to Understand and Explain Everything Biblically? Click Here: Decoding the Power of Three: Understand and Explain Everything or go to www.rightonu.com and click learn more. Use coupon code MAY50 for $50. value savings until May 31st.. Thank you for Listening to Right on Radio. Prayerfully consider supporting Right on Radio. Click Here for all links, Right on Community ROC, Podcast web links, Freebies, Products (healing mushrooms, EMP Protection) Social media, courses and more...https://linktr.ee/RightonRadio Live Right in the Real World! We talk God and Politics, Faith Based Broadcast News, views, Opinions and Attitudes We are Your News Now. Keep the Faith

On Hashtag Trending for Thursday, July 23, 2026, host Jim Love covers billionaire Mark Cuban's warning that today's massive AI data centers could become obsolete as AI chips and models rapidly improve. He also examines a Nikkei analysis estimating that Alphabet, Amazon, Meta, Microsoft, and Oracle have committed about US$1.65 trillion in long-term AI infrastructure contracts that don't appear as debt on their balance sheets but remain legally binding obligations. The episode also looks at Substack's new AI detection tools, developed with Pangram, which estimate how much text was written by humans versus AI. Readers gain more transparency, while writers can disclose how they use AI, scan drafts before publishing, appeal inaccurate results, or disable AI detection. Finally, Jim reports on growing tensions between publishers and AI search as companies including Reddit, Reuters, Politico, The Economist, and Gannett consider blocking Google's AI-generated search summaries following steep declines in referral traffic. He also covers a report from 404 Media about a town that covered controversial Flock Safety license-plate reader cameras with black garbage bags because contract terms prevented removing them. Timestamps 00:00 Headlines And Intro 00:27 Mark Cuban AI Bubble Warning 02:11 Substack AI Detection Tool 05:06 Publishers Versus Google AI Search 06:55 License Plate Cameras Covered Up

Inside the growing U.S.–Israeli military partnership, AI surveillance technology, data centers, cybersecurity firms, and political lobbying are becoming increasingly connected. In this episode, investigative journalist and YouTube creator Tommy G discusses the proposed expansion of U.S.–Israel defense integration, the role of artificial intelligence and cyber warfare, Israeli settlements in the West Bank, surveillance companies such as Palantir and Flock Safety, and concerns about privacy, censorship, and government overreach. Tommy also explains why he expanded his reporting beyond crime and street documentaries to cover Gaza, Palestine, Israel, foreign influence in American politics, AIPAC campaign spending, AI-generated political propaganda, license-plate tracking, and the rapid growth of the surveillance state. Topics discussed include: • U.S.–Israel military and technology integration • AI surveillance and cyber warfare • Palantir, Flock Safety, and data privacy • Israeli cybersecurity companies and U.S. data centers • AIPAC lobbying and campaign spending • Gaza, Palestine, and West Bank settlements • Government surveillance and constitutional rights • Artificial intelligence in modern warfare • Free speech, censorship, and political influence • Whether public pressure can still change government policy This conversation contains strong opinions, allegations, and disputed claims from the participants. Viewers are encouraged to research the legislation, statistics, companies, and historical events discussed and reach their own conclusions. Go Support Tommy! YouTube: @TommyGMcGee Podcast: @thetommygshow IG: https://www.instagram.com/tommygmcgee/ Join The Patreon For Bonus Content! https://www.patreon.com/theconnectshow 00:00 Opening: Anti-Israel Sentiment & US-Israel Alliance 03:30 Concerns Over Merging US and Israeli Militaries 05:30 Spying, Surveillance Tech, and US Risks 08:00 Tommy G's Background: Hustle, Work Ethic, and YouTube 10:30 Why Talk About Politics and Current Events? 13:20 Facing Backlash and Threats for Speaking Out 15:30 Confronting Propaganda and Irreconcilable Bubbles 18:00 Defining Truth Amid the US-Israel Debate 21:30 Land Theft and Settlements in the West Bank 27:00 Historical Parallels: Land Theft and Modern Day Policies 30:00 Government Policies and Systemic Oppression 32:45 Why Americans Should Care About Palestine 35:00 Testing Surveillance State in Palestine & Its Spread 39:00 US Politics, Data Centers, & Israeli Tech Influence 43:30 Flock Cameras and Surveillance Concerns in the US 47:30 Government Overreach, Privacy, and Rights Erosion 51:00 Slippery Slope: Surveillance and Citizen Rights 54:00 Big Government, Corruption, and Propaganda 57:00 Hope, Pressure, and The Power of Social Change 59:00 Closing Remarks & Tommy G's Impact Learn more about your ad choices. Visit podcastchoices.com/adchoices

FLOCK CAMERAS: SAFETY MEASURE OR SURVEILLANCE STATE? This morning we walk into the two rooms nobody voted to build, one a bathroom designed to kill your grandmother and one a hundred thousand camera network watching every road in America, and we ask how both of them got assembled while everybody was looking somewhere else. We break down why forty-three thousand seniors died from falls last year in houses the code book says are perfectly safe, then we follow Flock Safety from a solar panel on a pole in your subdivision to a server in Atlanta that five thousand police agencies can search without a warrant. Then Camellia Peterson walks us through the August 4 ballot and the strangest primary season in modern memory, and voice actress Mary McDonald-Lewis tells us what happened when she declined to say things she does not believe.

This is the WFHB Local News for Wednesday, July 22nd, 2026. In today's newscast, Correspondent Elena Bai looks into the city's contracts with Flock Safety, speaking with two members of Bloomington Democratic Socialists of America’s Solid State Working Group, about concerns over surveillance technology. More in today's featured interview. Also coming up in the next …

This episode digs into Flock Safety's AI-powered license-plate cameras and audio sensors, examining how they work, where they're deployed, and why residents are alarmed. The hosts and callers debate the tradeoffs between crime-fighting benefits and risks of mass surveillance, misuse by authorities and private actors, AI errors, vandalism and the local status of cameras at UND and in Grand Forks. #FlockSystem #JoinTheFlock #FlockCommunity #GrowTogether #BuiltToScale #SmarterSystems #WorkSmarter #BusinessGrowth #SuccessSimplified

This week, the team discusses the White House's Initiative Gold Eagle and its implications for cybersecurity information sharing, an unexpectedly positive development involving Flock Safety, and the latest wave of AI news. The conversation also explores evolving AI model capabilities, security guardrails, open-weight Chinese models, and how AI is changing offensive and defensive security. Along the way, the hosts examine recent vulnerability research, industry reactions, and other cybersecurity headlines from the week.Join us LIVE on Mondays, 4:30pm EST.A weekly Podcast with BHIS and Friends. We discuss notable Infosec, and infosec-adjacent news stories gathered by our community news team.https://www.youtube.com/@BlackHillsInformationSecurityChat with us on Discord! - https://discord.gg/bhis

The merging of big-technology with the CIA, and general intelligence community, alongside of social and mainstream media, is well-established in both fact and conspiracy lore. However, tracking down the origins of companies like Palantir, Axonius, OpenAI, ShieldAI, Flock Safety, etc., traces the origin of this system of total surveillance mostly to Israel, though countries like China play a role too - though they have worked heavily with Google. Many of the companies involved also derive their names from mythical realms and draw upon the inspiration of the all-seeing eye. Now that eye is infiltrating classrooms. Nvidia-backed Figure AI has been pushed by the White House directly, with its humanoid robot. Now the New York State Salamanca City Central School District is introducing Sally, a lifelike silicone teacher who will know students not by name but ID number. Sally is made by Reealbotix, which draws heavily from the language models of OpenAI, Meta and Google. Two are their hyper-realistic robots were given Hebrew names: Aria and David. Besides robotics, the U.S. has spent $30 billion to replace paper with digital devices in schools. This has reportedly led to a noticeable decline in cognitive ability among Gen Z. Although countries like Japan are famous for electronics, and have implemented similar policies in schools, Japanese students still outperform American students in most areas. Could this mean that perhaps the issue is far more related to effort and study than it is to technology? Then again, according to PISA (Programme for International Student Assessment), Japan had the lowest of all OECD (Organisation for Economic Co-operation and Development) countries for screen time. A study form the University of Tokyo also found that using paper strengthened brain activity more than screens, which has contributed to some schools taking a hybrid approach -- just like with gasoline and electric vehicles.*The is the FREE archive, which includes advertisements. If you want an ad-free experience, subscribe below.

Government's digital police state continues its steady march forward at the hands of Flock Safety and their mass surveillance technology.

When San Francisco police drone video surveillance was accidentally livestreamed on the internet last month, it revealed how extensively, and at what great detail, the city is watched from above. The use of surveillance technology is rapidly growing in the Bay Area, with increasing drone and AI-powered surveillance networks partnering with local law enforcement and government agencies. In 2024, the SFPD launched the Real Time Investigation Center, which included major investments in license plate readers, safety cameras and a drone program and Alameda County just approved the renewal of a $2.25 million contract with Flock Safety. It's all raising concerns about privacy, data leaks, civil liberty infringements and the use of the technology to aid immigration deportations. We'll discuss the state of surveillance tech in the Bay Area, and what it means for public safety and privacy. Learn more about your ad choices. Visit megaphone.fm/adchoices

Send us Fan MailThis week on Two Nobodies Who Know Nothing, Wes Tankersley and Robert Watson tackle three topics that are becoming impossible to ignore:

Welcome to The Daily Wrap Up, an in-depth investigatory show dedicated to bringing you the most relevant independent news, as we see it, from the last 24 hours (7/20/26). As always, take the information discussed in the video below and research it for yourself, and come to your own conclusions. Anyone telling you what the truth is, or claiming they have the answer, is likely leading you astray, for one reason or another. Stay Vigilant. !function(r,u,m,b,l,e){r._Rumble=b,r[b]||(r[b]=function(){(r[b]._=r[b]._||[]).push(arguments);if(r[b]._.length==1){l=u.createElement(m),e=u.getElementsByTagName(m)[0],l.async=1,l.src="https://rumble.com/embedJS/u2q643"+(arguments[1].video?'.'+arguments[1].video:'')+"/?url="+encodeURIComponent(location.href)+"&args="+encodeURIComponent(JSON.stringify([].slice.apply(arguments))),e.parentNode.insertBefore(l,e)}})}(window, document, "script", "Rumble");   Rumble("play", {"video":"v7aual6","div":"rumble_v7aual6"}); Source Links (In Chronological Order): (9) Barchart on X: "U.S. Debt now exceeds 100% of GDP for the first time since World War 2

Send us Fan MailIn this week's episode we discussed the growing controversy surrounding Flock Safety cameras and the debate over privacy, surveillance, and public safety. We discuss why many people see these license plate readers as an invasion of privacy, the concerns over how the data is collected and used, and the efforts by communities pushing to remove them.Our Links:Retrospect

Text the show! Did America ever agree to becoming one of the most surveilled societies in history?Today there are more than 76,000 automated license plate readers operating across the United States, collecting roughly 20 billion vehicle scans every month.Most of them arrived without public hearings, ballot measures, or meaningful public debate.In this Sequel Sunday investigation, Chad Law follows the paper trail behind America's rapidly expanding surveillance infrastructure—not to argue whether the technology works, but to ask a much more important constitutional question:When did government stop asking?From Dayton's now-famous trash bag solution to Cleveland, Denver, El Paso, and beyond, this episode examines how surveillance systems spread, why transparency often arrives only after installation, and why consent—not efficiency—is the real foundation of American government.Rather than choosing sides in the privacy debate, this episode asks whether citizens still possess the ability to see what government is doing—and to stop it when necessary.Because if you can't see it...and you can't stop it...did you ever really consent?

Discover the truth about Flock Safety Cameras in this revealing video. Learn how these cameras are being used to promote community safety and prevent crime. We'll delve into the features and benefits of Flock Safety Cameras, and explore the impact they're having on neighborhoods and communities. If you're considering investing in a Flock Safety Camera for your home or community, this video is a must-watch. Get the inside scoop on the technology behind these cameras and find out if they're really worth the investment. Whether you're a homeowner, a community leader, or simply a concerned citizen, this video will provide you with the information you need to make informed decisions about Flock Safety Cameras.

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

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

Angel Studios https://Angel.com/TODD Storm the theaters and help make Young Washington the #1 movie in America. Join the Angel Guild today for $15/month and receive two free tickets to see Young Washington this Independence Day. Alan's Soap https://AlansSoaps.com/Todd  Honor John's memory and the legacy he created for Ian and Alan with Alan's Artisan Soaps “John's Favorites” bundle.  Get one bar of each of his favorites for only $28.99.  Absolute Ministries https://AMgive.org/TODD Your gift helps people overcome addiction, find hope and purpose, and experience lasting change through a Christ-centered system of care. Together, we can support sustainable transformation that goes far beyond temporary sobriety.  Bulwark Capital https://KnowYourRiskPodcast.com Be confident in your portfolio with Bulwark! Schedule your free Know Your Risk Portfolio review. Go to KnowYourRiskPodcast.com today.  Renue Healthcare https://Renue.Healthcare/Todd Your journey to a better life starts at Renue Healthcare. Visit https://Renue.Healthcare/Todd  Bonefrog https://BonefrogCoffee.com/Todd Get the new limited release, The Sisterhood, created to honor the extraordinary women behind the heroes. Use code TODD at checkout to receive 10% off your first purchase and 15% on subscriptions. LISTEN and SUBSCRIBE at: The Todd Herman Show - Podcast - Apple Podcasts The Todd Herman Show | Podcast on Spotify WATCH and SUBSCRIBE at:  Todd Herman - The Todd Herman Show - YouTubeFLOCK IS ACTUAL FASCISM - NOT THE PRETEND KIND. There is a tiny little rebellion building up against actual fascism. As a Christian, I cannot advocate for breaking the law, but it brings me joy to see people standing up to “Flock Safety”, because their business model is literal fascism. It's a constitutional fact.

Peach farmers in the Central Valley have had to pull their crops and are facing financial hardship. They're hoping a new farm bill will help keep them going. Reporter: Claudia Brancart, North State Public Radio A bill to cut red tape and make affordable housing easier and cheaper to build just became law Monday. It focuses on a controversial mechanism. Reporter: Adhiti Bandlamudi, KQED The Los Angeles Police Department will not be renewing its contract with the surveillance company Flock Safety. Reporter: Billy Cruz, The California Report Learn more about your ad choices. Visit megaphone.fm/adchoices

Flock cameras are all the new rage. We have finally forgotten or lost interest in smart meters, Stingray, Dirtbox, PRISM, etc. Flock Safety systems are being installed without consultation of the public, and sometimes reinstalled without permission from local authorities. Sometimes they're randomly placed. These cameras and sensors are supposed to keep communities safer, but what they ultimately do, even according to law-enforcement, is create a dragnet surveillance grid in local communities. They've already been used to fine and jail people for crimes that they did not commit. Perhaps the worst part, but not unlike Axonius, Palantir, Waze, ShieldAI, and so forth, is that the two primary investors are the Peter Thiel group and Andreessen Horowitz, a company directly rooted in Israel. Furthermore, resistance to these cameras being installed is being labeled terrorism. It's also not out of the realm of possibility that many of the cameras that have been cut down, have been removed by law-enforcement, community officials, or the company itself in order to paint the technology as a victim of ignorant and violent citizens.*The is the FREE archive, which includes advertisements. If you want an ad-free experience, subscribe below.

-Governor Kathy Hochul signed an executive order pausing environmental permits for large data centers (consuming more than 50 megawatts) for up to a year. -Google has struck a deal to purchase a major solar project's entire electrical output to offset its fossil fuel emissions. -The Los Angeles Police Department has suspended its use of controversial surveillance tech from Flock Safety. Learn more about your ad choices. Visit podcastchoices.com/adchoices

This Week In Startups is made possible by: Quo https://quo.com/TWiST PayPal Open https://paypalopen.com Northwest Registered Agent https://northwestregisteredagent.com/twist Today's show: *Jason spent $11 building out PodMeme, an AI tool that tracks down the best segments from top podcasts about a specific topic, then stitches them together into a single stream. His post laying out how he did it, featuring a simple screenshot of the product, got all the way to 1.1M views in just a few days. It's a simple fact: builders love to see what other people are building, and growing your new project "in public," sharing your journey on social media, is a great way to develop buzz around your product before it even exists. Today's guest Thibault "Tibo" Louis-Lucas walks us through how he grew products like Tweet Hunter and Taplio on his social media account, using social media buzz and a focus on tools for creators to very quickly expand to over $1M ARR. PLUS why Apple would only sue OpenAI if they knew they had them dead to rights… why Uber and Waymo are fighting over DC robotaxis… Jason's response to the public backlash against surveillance startup Flock Safety… and the guys remember iconic New Zealand actor Sam Neill. Guest: Tibo Louis-Lucas on X: https://x.com/tibo_maker Revid.ai: https://www.revid.ai/ Tweet Hunter: https://tweethunter.io/ Taplio: https://taplio.com/ Relevant Links: Lemlist: https://www.lemlist.com/ GRIN influencer marketing: https://grin.co/ TechCrunch: "Apple Sues OpenAI": https://techcrunch.com/2026/07/10/apple-sues-openai-over-alleged-trade-secret-theft/ We Must Act Now statement: https://www.wemustactnow.ai/ TechCrunch: "Uber's Robotaxi Lobbying Effort": https://techcrunch.com/2026/07/13/ubers-robotaxi-lobbying-effort-has-put-it-on-a-collision-course-with-waymo/ DC Autonomous Vehicle Deployment Authorization Amendment of 2026: https://www.billtrack50.com/billdetail/2003462 DoorDash: Meet Dot: https://about.doordash.com/en-us/dot Flock Safety: https://www.flocksafety.com/ DeFlock: https://deflock.org/ Gigazine: Flock accuses Deflock of being a "terrorist org": https://gigazine.net/gsc_news/en/20260209-flock-ceo-deflock/#gsc.tab=0 Unifi AI Security Systems: https://ui.com/physical-security Jason's PodMeme post: https://x.com/Jason/status/2076231055443440105 Jason responds to Justine Bateman: https://x.com/Jason/status/2076326740050206959 NYT Sam Neill obituary: https://www.nytimes.com/2026/07/13/movies/sam-neill-dead.html "Possession" trailer: https://www.youtube.com/watch?v=aLXW-oVbTxE FanEdit: https://fanedit.org/forums/news-publisher/ "Manhunter" trailer: https://www.youtube.com/watch?v=cLqHlg2fAnE HBO "The Man Will Burn" trailer: https://www.youtube.com/watch?v=kRhUYPtp6Ao Timestamps: 0:00 There's no air conditioning in Paris 7:27 Tibo Maker's "ship 1 product a week" challenge 9:24 The power of building products in public 10:59 Quo (formerly OpenPhone) - Quo gives you a clean, modern way to handle every customer call, text, and thread all in one place. Try it free at https://quo.com/TWiST 12:04 Excitement for JCal's "PodMeme" set-up 15:40 Compounding an audience and enlisting influencers 19:13 Your follower count is not important any more 20:59 PayPal - Built for payments, growth, and agentic. Paypal Open, built for all business. Visit https://paypalopen.com to get started 22:28 How Tibo got banned on LinkedIn twice 28:48 Apple sues OpenAI 30:59 Northwest Registered Agent - Get more when you start your business with Northwest. In 10 clicks and 10 minutes, you can form your company and walk away with a real business identity — Learn more at https://northwestregisteredagent.com/twist 38:44 How OpenAI should have handled the New York Times 45:10 DC's new robotaxi bill 52:06 Managing the AV and delivery-bot transition 53:23 Economists warn of AI job displacement 1:07:00 How Jason would fix Flock's messaging 1:17:26 Remembering Sam Neill 1:23:05 Lon's Dream AI edit 1:26:35 HBO's Burning Man docuseries   Subscribe to the TWiST500 newsletter: https://ticker.thisweekinstartups.com Check out the TWIST500: https://www.twist500.com Subscribe to This Week in Startups on Apple: https://rb.gy/v19fcp   Follow Lon: X: https://x.com/lons   Follow Alex: X: https://x.com/alex LinkedIn: ⁠https://www.linkedin.com/in/alexwilhelm   Follow Jason: X: https://twitter.com/Jason LinkedIn: https://www.linkedin.com/in/jasoncalacanis   Check out all our partner offers: https://partners.launch.co/   Great TWIST interviews: Will Guidara, Eoghan McCabe, Steve Huffman, Brian Chesky, Bob Moesta, Aaron Levie, Sophia Amoruso, Reid Hoffman, Frank Slootman, Billy McFarland   Check out Jason's suite of newsletters: https://substack.com/@calacanis   Follow TWiST: Twitter: https://twitter.com/TWiStartups YouTube: https://www.youtube.com/thisweekin Instagram: https://www.instagram.com/thisweekinstartups TikTok: https://www.tiktok.com/@thisweekinstartups Substack: https://twistartups.substack.com  

Episode 435 of The VentureFizz Podcast features Kojo Osei, Partner at Matrix. The venture capital industry originated back in 1946 in the Boston area, when The American Research and Development Corporation was founded by MIT president Karl Compton and Harvard professor Georges Doriot. From that point, an industry was born, and firms were created, but very few have had the lasting impact and track record as Matrix, one of the OG firms that helped institutionalize this industry. The firm has a tremendous track record through the years making investments in legendary companies like Apple and FedEx… plus category creators like HubSpot, Zendesk, and Oculus… or current investments like Canva, Suno, GOAT, and Flock Safety. Matrix is investing out of its 12th fund, an $800M fund for seed and Series A investments, and the firm continues to have a strong presence on both coasts. Kojo is a Stanford grad, who was the Head of Product at Sirona Medical, the AI operating system for radiologists, before becoming a VC. Now based in NYC, Kojo has been an investor with Matrix for over five years. Some areas of interest these days for investments include agent-driven commerce, how the software infrastructure is getting rebuilt for agents, and model application integrated companies. His investments include companies like Channel3, BoldVoice, Ampersand, and LM Studios. Chapters: 00:00 Introducing Kojo Osei, Partner at Matrix 03:24 What is Agent Driven Commerce 09:45 Koji's background & Early Career 13:20 Joining Matrix as a VC 14:37 Advice for Aspiring Venture Capitalists 17:05 The First Year in Venture Capital 20:26 Details about Matrix's 25:01 Investment Areas of Interest for Kojo 27:48 The Art of the Cold Email to a VC 34:17 Exploring the 'Why Now' Philosophy 37:59 AI: Current State and Predictions 42:06 Common Mistakes Founders Make 44:23 GTM for Developer Products 48:11 Leveraging AI in Daily Workflow 49:23 Kojo's Recommendation & Personal Interests Podcast Sponsor: This podcast is brought to you by one of the strongest longtime supporters of the local startup ecosystem, Silicon Valley Bank, a division of First Citizens Bank. With more than 1,500 bankers and relationship advisors and $44B in loans as of Q4 2025 – SVB delivers expert guidance, specialized products and a team that knows the innovation economy inside and out. Learn more at SVB.com.

Joining me today is Derrick Broze, here to discuss an update in his in-depth TLAV series surrounding David Leavitt, David Lee Hamblin, and the investigation into ritualistic child sexual abuse conducted by the Utah County Sheriff's Office. We also discuss how license plate readers and cell towers were used to track down and charge the alleged January 6 pipe bomber—despite the numerous discrepancies and inconsistencies in the evidence that suggest he was not the one responsible—as well as the larger Flock camera revolution now underway. !function(r,u,m,b,l,e){r._Rumble=b,r[b]||(r[b]=function(){(r[b]._=r[b]._||[]).push(arguments);if(r[b]._.length==1){l=u.createElement(m),e=u.getElementsByTagName(m)[0],l.async=1,l.src="https://rumble.com/embedJS/u2q643"+(arguments[1].video?'.'+arguments[1].video:'')+"/?url="+encodeURIComponent(location.href)+"&args="+encodeURIComponent(JSON.stringify([].slice.apply(arguments))),e.parentNode.insertBefore(l,e)}})}(window, document, "script", "Rumble");   Rumble("play", {"video":"v7abe46","div":"rumble_v7abe46"}); Source Links: Derrick Broze, Author at The Last American Vagabond - The Conscious Resistance Network Join Us for The Activation Tour 2026! New Tab (21) More Perfect Union on X: "The Trump administration approved three new “forever chemical”-based pesticides last week for use on food crops, including corn and soybeans — the most widely grown crops in the country — as well as wheat, kiwi, oats, peas, broccoli and coffee. These new chemicals —" / X Federal Court Overturns Historic Fluoride Ruling as Trump Admin Fights to Keep Fluoride in the Water Lawsuit Reveals "Cruel" Experiments on Kittens Continue Under Kennedy and Trump MAHA Bait and Switch? Trump's EPA Calls for Review of Fluoride Science While Ignoring Historic Ruling on Fluoride Trump's FCC Seeks to Strip Even More Local Control Over 5G Rollout Here Are 18 Ways Trump Supported The Swamp During His Presidency The Ongoing Engineered Division Of The United States: Fake Patriots vs Fake Patriots Welcome to 2030: I Own Land, Live Among Like Minded People, and Life Has Never Been Better New Tab (21) Thomas Massie on X: "It's a travesty of justice that this autistic suspect will be behind bars for over a year without trial just so @FBIDirectorKash can say he solved the case and hope to extract a plea deal. And it's criminal that the real instigators are still roaming free after 6 years." / X What we know about the suspect in January 2021 D.C. pipe bomb case, DOJ says dl You Are A Terrorist If You Resist Data Centers & Israel's Infiltration Of Flock and AI Surveillance ELSAG Integrated Signal Intelligence Platform Leonardo signs two agreements with Israeli Innovation Authority and Ramot Tel Aviv University in the field of innovation (21) Military Arms on X: "Check this out, a @Flock_Safety system captured this lady driving with her phone on her lap (face down) and the state mailed her a $1251 ticket... because "public safety"! #deflockme https://t.co/3ppZFarOAQ" / X Milwaukee police detective charged with misusing Flock surveillance cameras (21) The Last American Vagabond on X: "@EricLDaugh Tell us what you THINK about this Eric? Odd that you guys keep leaving out the commentary (you always include) when covering this topic. I wonder why? Could it be that the vast majority of Americans support this action, but the establishment team you gaslight for does not?

A massive political powerhouse falls!

The American economy is roaring back as U.S. manufacturing completely catches fire!

The tide is turning in the fight for election integrity!

The corporate media is playing games, global tensions are reaching a boiling point, and the fight for the American republic is being fought inch by inch!