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I wanna be your end game. Roll the dice, pick your teams, and pull up a chair, because this week is all about games (decidedly not sports). Taylor reaches for game metaphors constantly, and once you start looking, you find chess boards, poker hands, and team rosters all over her catalog. Jenn kicks things off with the big thinkers of play, from Johan Huizinga's magic circle to Roger Caillois's four types of play to game theory, the field that treats every board game as a tiny model of human decision making. Then Jodi takes us inside the chess game of “Dear John,” where somebody else keeps changing the rules. Jenn lays her cards on the table with “Foolish One” and explains why showing your hand first is a classic game theory mistake (hello, sucker's payoff). Maansi closes with “End Game,” tracing “end game,” “first string,” and “A-Team” back to chess, medieval archery, and the US Army, and landing on a very different kind of game where both players finally sit on the same side of the board. Along the way we detour through Jumanji, Lord of the Flies, Alice in Wonderland, The Queen's Gambit, a Garry Kasparov masterclass, and the ancient Indian roots of chess. Grab your game pieces and play along! Episode Highlights [01:27] Jenn sets the stage with games as a core part of being human [09:44] Jodi on “Dear John” [22:46] Jenn on “Foolish One” [37:28] Maansi on “End Game” [52:57] Honorable mentions lightning round Mentioned in This Episode Homo Ludens by Johan Huizinga Man, Play and Games by Roger Caillois Jumanji by Chris Van Allsburg Lord of the Flies by William Golding Alice's Adventures in Wonderland by Lewis Carroll Harry Potter and the Goblet of Fire by J.K. Rowling The Hunger Games by Suzanne Collins The Queen's Gambit by Walter Tevis The Notebook by Nicholas Sparks The Mahabharata Browse all our picks at bookshop.org/shop/apts Film and TV The Queen's Gambit (Netflix) Jumanji (1995) The A-Team (1983) Follow Along Website aptaylorswift.com Instagram @APTaylorSwift TikTok @APTaylorSwift YouTube @APTaylorSwift Linktree @APTaylorSwift Email aptaylorswift@gmail.com Rate, review, and subscribe wherever you listen, and tell us your favorite game reference in the comments! Extra Credit on Substack We barely scratched the surface on games (we didn't even get to video games). Find more extra credit on our Substack at aptaylorswift.substack.com, and join After School, our paid tier, for bonus content from all three of us.   Intro music by Scott Zadig aka Scotty Z. AP Taylor Swift is an independent podcast and is not affiliated with or endorsed by Taylor Swift, her team, or her record labels.

Send us Fan MailEpisode Summary: Bruce Bieber shares his personal journey from tragedy to advocacy, highlighting the systemic failures in law enforcement's handling of domestic violence cases and proposing best practices to prevent future tragedies. This episode emphasizes the importance of proactive policies, training, and accountability in law enforcement to save lives.Bruce's BIO  Bruce Bieber is a national advocate for Police-Perpetrated / Officer-Involved Domestic Violence (PP/OIDV) awareness, prevention, and reform. His advocacy emerged following the murder of his daughter, Hillsborough County Sheriff's Office Deputy Abigail Rose “Abby” Bieber, in a PP/OIDV murder-suicide on January 29, 2022. Abby's two older brothers are both law enforcement officers.A retired commercial construction manager, Bruce and his wife, Sarah, spent more than four decades raising their family in the Washington, D.C. metropolitan area before relocating to Florida in 2021 to be closer to their children and grandchildren. Public service has long been central to the Bieber family, with careers spanning law enforcement, fire and EMS, a US Army combat veteran, and decades of public school teaching.Following Abby's death, Bruce embarked on an intensive study of PP/OIDV and the organizational, cultural, and systemic factors that can allow warning signs to go unrecognized or unaddressed. What began as a father's search for answers evolved into a national advocacy effort. He has collaborated with leading researchers, law enforcement professionals, survivors, policy experts, and advocates across the United States to better understand the causes, consequences, and prevention of police perpetrated domesticviolence.Today, Bruce speaks nationally about PP/OIDV, using Abby's story to promote evidence-based reform. His presentations explore offender behavior, warning signs, accountability, agency culture, victim safety, and the critical role of early intervention. He advocates for mandatory PP/OIDV training, comprehensive agency policies, and cultural change within law enforcement organizations.Bruce's central message is straightforward: if PP/OIDV is predictable, and it is, then the devastation that flows from it is preventable. Through education, advocacy, and reform, he works to honor Abby's memory while helping agencies, policymakers, and communities prevent future tragedies, save lives, and strengthen public trust.Support the showOur premiere sponsor, Social News Desk, has an exclusive offer for PIO Podcast listeners. Head over to socialnewsdesk.com/pio to get three months free when a qualifying agency signs up.

Guest historian James Ellman provides new insights and thoughts about General George S. Patton as a leader and tactician during World War II, challenging the common narrative.

Day 1,675.Today, after more deadly daytime raids strike Kyiv – with people climbing out the windows of burning buildings – we hear how Poland is changing its rules of engagement regarding drones entering its airspace as the number of incursions continue to rise across Europe. Then we do a deep dive into the future of modern warfare and defence procurement following a new long read by the former Secretary of the US Army and The Telegraph's exclusive interview with Ukraine's Drone Chief, Robert ‘Magyar' Brovdi.Contributors:Francis Dearnley (Host on Ukraine: The Latest). @FrancisDearnley on X.Dominic Nicholls (Host on Ukraine: The Latest). @DomNicholls on X.Antonia Langford (Freelance Journalist in Kyiv). @Antonialford on XProducer: Rachel PorterSenior Producer: Lilian FawcettVideo Producer: Sophie O'SullivanSocial Producer: Tom SteedStudio Director: Meghan SearleExecutive Editor: Francis DearnleyCreated by David KnowlesNOW IN FULL VIDEO WITH MAPS & BATTLEFIELD FOOTAGE:Every episode is now available on our YouTube channel shortly after the release of the audio version. You will find it here: https://www.youtube.com/@UkraineTheLatestCONTENT REFERENCED:RAND paper: Tomorrow's Victory and the Army of the Future: Forecasting the Next Steps in Ukraine's Military Evolutionhttps://www.rand.org/pubs/commentary/2026/09/tomorrows-victory-and-the-army-of-the-future.html?project=&utm_campaign=&utm_content=1789510664&utm_medium=rand_social&utm_source=twitterRussia attacks scientists in strikes on Kyiv (Antonia Langford for The Telegraph)https://www.telegraph.co.uk/world-news/2026/09/28/russia-attacks-scientists-kyiv-national-academy-fire/Rewiring the Arsenal of Democracy (Dan Driscoll for Foreign Affairs)https://www.foreignaffairs.com/united-states/rewiring-arsenal-democracy-war-dan-driscollFrontline Club Event with the Kyiv Independent on 1st October (Francis Dearnley moderating):https://www.eventbrite.co.uk/e/panel-discussion-ukraine-inside-their-war-tickets-2000033706656?aff=oddtdtcreatorThe Kyiv Independent Live in London on 2 October:https://tickets.kyivindependent.com/events/thekyivindependentlive/2281999/r/frontlineDavid Knowles's episode dedicated to Babyn Yar:https://podcasts.apple.com/gb/podcast/gas-shortages-finally-hit-moscow-as-kyiv-intensifies/id1612424182?i=1000728581605If you're interested in sponsoring Dom's upcoming defence event, email our colleagues at events@telegraph.co.ukEMAIL US:Contact the team on ukrainepod@telegraph.co.uk. We continue to read every message, and seek to respond to as many as possible.HIGHLIGHTS:Scientists cling to burning building after Russian raidUkraine's Operation Vivaldi liberates occupied villages Hosted on Acast. See acast.com/privacy for more information.

As Fox News reveals only 4% of American voters consider the Iran War their top priority - focusing instead on inflation and the economy - war cheerleaders like Mark Levin and Ben Shapiro insist a "historic victory" is right around the corner despite soaring fuel costs. Meanwhile, new satellite images expose apocalyptic destruction across Gaza as journalists remain blocked from entry. Piers Morgan is joined by Dave Smith (host of Part of the Problem) and Matt Tardio (retired Green Beret & US Army sniper) to debate the true cost of Middle Eastern conflicts, US midterms, and the brutal reality on the ground. He's also joined by Megyn Kelly to talk Gaza, Charlie Kirk, Piers' legal row with Earl Spencer and Madonna at the VMAs. (00:00:00) Introduction  (00:03:09) New images of Gaza on Google (00:06:15) Is the destruction of Gaza proportionate? (00:14:19) GHF aid sites and live fire on hungry civilians (00:22:19) How should Israel fight terrorists in urban areas? (00:24:34) Smotrich, Ben-Gvir and why Israel's PR isn't working (00:30:25) Megyn Kelly on Earl Spencer (00:38:29) Megyn Kelly on Gaza images and Netanyahu (00:42:18) Could Iran war could cost Trump the midterms? (00:45:54) Megyn Kelly slams Madonna at the VMAs Learn more about your ad choices. Visit podcastchoices.com/adchoices

Dr. Susan Brynne Long explores the often-overlooked frontier battles of the American Revolution. The conversation examines the people, conflicts, and challenges that shaped warfare beyond the Revolution's better-known battlefields.

On the Early Edition with Ryan Bridge Full Show Podcast for Monday September 28th 2026, Labour's Tertiary Education Spokesperson Shanan Halbert explains to Ryan why the party wants to wipe 10 percent off people's student debt loans. Ryan wonders whether this is an election bribe - and whether it will work. Business Correspondent Vicky Pryce explains why more and more economists are getting worried about the UK's bond markets. And a retired Major General of the US Army talks Donald Trump outright rejecting Iran's latest proposal to open the Strait of Hormuz. Get the Early Edition Full Show Podcast every weekday on iHeartRadio, or wherever you get your podcasts. LISTEN ABOVE See omnystudio.com/listener for privacy information.

The US President's throwing out another deal, as an Iranian official says negotiations are his only way out. Donald Trump's says Iran's proposal to reopen the Strait of Hormuz 'wasn't acceptable'. But Iran's Foreign Minister Abbas Araghchi says they're the same conditions included in the deal signed by both sides, in June. US Army Former Major General Randy Manner says Trump's tried all out war, and it didn't work. "The bottom line upfront is - this truly only can be done through negotiation, and that is very difficult and it takes a lot of time, our president does not have that kind of patience." LISTEN ABOVESee omnystudio.com/listener for privacy information.

In this episode of CoROM Conversations, Bill Vasios is joined by Dr Bob Dichiera, a retired US Army veteran with experience in operational medicine, primary care and orthopaedic surgery, and an associate professor at East Carolina University's PA programme. Bob introduces a practical approach to remote orthopaedics built around four questions: Is the patient dying? Is a limb dying? Can I stabilise it? Does the patient need evacuation?The discussion examines the orthopaedic emergencies that clinicians cannot afford to miss, including open fractures and dislocations, neurovascular compromise, compartment syndrome, vascular injuries, pelvic fractures and traumatic amputations. Throughout the session, Bob emphasises repeated pulse, motor and sensory (PMS) assessment before and after interventions. Using clinical cases, the conversation explores closed and open tibial fractures, field-expedient fracture assessment, compartment syndrome, irrigation and antibiotics, splinting, shoulder dislocations and reduction decisions. The discussion considers when reduction may be appropriate in a remote environment, particularly when prolonged transport is combined with neurovascular compromise.The later discussion examines pelvic and hip injuries, field assessment, ultrasound and the difficult question of whether procedures such as fasciotomy have a role in genuinely remote care. Bob also considers how telemedicine and remote specialist support may extend what clinicians can safely accomplish in austere environments.00:00 – Tuning-fork fracture diagnosis cold open00:18 – Introduction to Remote Orthopaedics01:58 – Why MSK injuries matter in remote medicine03:00 – Orthopaedic emergencies you cannot miss04:18 – Damage-control orthopaedics05:00 – Is the patient dying? Is the limb dying?06:42 – Closed tibial fractures07:40 – Diagnosing fractures with a tuning fork09:06 – Splinting and traction decisions11:31 – Compartment syndrome14:00 – Pain with passive stretch15:30 – Open fractures16:20 – Irrigation17:00 – Antibiotics for open fractures21:06 – Field splinting and improvised splints23:30 – Shoulder dislocations25:55 – Shoulder reduction techniques28:21 – Immobilisation and rehabilitation30:45 – When should remote clinicians reduce a dislocation?33:07 – PMS and neurovascular assessment34:00 – Knee dislocations35:35 – The easily missed vascular injury37:56 – Reduction, ABI and evacuation38:45 – Ankle injuries and Ottawa Ankle Rules40:20 – Why weight-bearing does not exclude fracture42:00 – Hand and wrist injuries42:43 – Pelvic fractures44:00 – Pelvic binders and avoiding repeated pelvic assessment45:30 – Haemorrhage and pelvic trauma46:00 – Pelvis versus femoral neck fracture47:30 – Ultrasound in remote orthopaedics47:50 – Should remote clinicians perform fasciotomies?48:30 – Telemedicine and remote procedural guidance49:53 – Closing

The battlefield is changing faster than ever before. Drones can find you. Technology can expose you. America's adversaries are adapting in weeks instead of years. For U.S. Army Special Forces, rapid evolution while maintaining the people, partnerships, and culture that have made Special Forces effective for generations is the key to success on today's battlefield.From the John F. Kennedy Special Warfare Museum at Fort Bragg, Fran Racioppi sat down with the command team of 1st Special Forces Command: Brigadier General Joseph Wortham, Command Sergeant Major Lee Strong, and Chief Warrant Officer 5 Jerry Brown. Together, they lead the US Army's Green Berets, Civil Affairs, Psychological Operations, and the soldiers who enable them. Their mission - prepare, train and equip Army Special Operations Forces to win against an increasingly complex global threat.We discuss whether the legendary 12-man ODA is still the right formation for the wars of 2030 and 2040, and why the future may not require changing its core, but building new capabilities around it. Robotics and unmanned systems are rapidly becoming part of that evolution, including the development of specialized technical expertise designed to keep pace with technology that can change in a matter of weeks.But technology alone will never define Special Forces. We examine where Green Berets are supporting large-scale combat operations, how Special Forces can shape the deep fight for conventional commanders, and why Psychological Operations, Civil Affairs, and trusted partner forces become even more important against peer adversaries. The battlefield may look different from the one this generation fought throughout the Global War on Terror, but the requirement remains the same: create options, influence the fight, and give the joint force an advantage before the enemy ever knows we're there.The next generation of Army Special Operations will fight with tools its predecessors could never have imagined. But its greatest advantage will remain the same: exceptional people, trusted partners, and a culture built to take on the missions others cannot.Highlights:0:00 Introduction 2:23 Welcome to the Jedburgh Podcast 4:05 Importance of Partnerships 8:07 Command Priorities and Readiness 11:41 Evaluating the ODA Structure 20:02 Incorporating Robotics and Unmanned Systems 33:34 Special Forces in LSCO 47:28 Culture of the RegimentQuotes: “We don't like to do anything by ourselves. We do everything with a partner.”“Those partnerships have to be genuine, they have to be authentic.”“It starts by being a genuine, authentic, good partner, not transactional.”“Humans are more important than hardware.”“When you take really good people that are fit, intelligent, of high character, and you assign them a mission, it doesn't really matter what their MOS is."“How much demand can we put on them before they reach the point of saturation?”“It's the smallest package we can get all of the warfighting functions in.”“It cannot be an additional task or an additional hat for someone on the ODA to wear.”“Here's my rifle, here's my NODs, here's my radio, and oh, and here's my drone.”“We're small, we're light, we're fast, we're agile, but we're lethal.”"What we don't bring in mass, we bring in mass through partnerships.”“Although we cannot prepare holistically for what's next, we can get a head start this."“In my opinion, our culture is the best it's ever been.”The Jedburgh Podcast is brought to you by OneBrief; enabling military leaders to make innovative, informed and deliberate decisions faster than ever before. Superhuman command wins wars.Follow the Jedburgh Podcast and the Green Beret Foundation on social media. Listen on your favorite podcast platform, read on our website, and watch the full video version on YouTube as we show why America must continue to lead from the front, no matter the challenge.

Dana recaps Trump's moves at the UN including signing a US-Denmark-Greenland agreement, meeting with the UK's new prime minister and considering a ban or restriction on U.S. diesel exports. A US Army vet was running a California baby factory for Chinese nationals to have American kids.  Judge Judy drops the hammer on people who constantly criticize America while living here.Thank you for supporting our sponsors that make The Dana Show possible…Alliance Defending Freedomhttps://JoinADF.com/DanaIf you believe your freedom is worth defending, now is the time to act.  Donate to Alliance Defending Freedom at the link above and have your gift MATCHED. Relief Factorhttps://ReliefFactor.comBe the next person sharing a Relief Factor success story. Get started today with the 3-Week QuickStart for only $17.76 and tell them you heard about them on The Dana Show. Patriot Mobilehttp://PatriotMobile.com/DANAMake the switch to Patriot Mobile today. Visit online or call 972-PATRIOT and use promo code DANA for a FREE month of service.Webroothttps://Webroot.com/DanaSave 60% off Webroot. Protect your devices. Protect your family. Protect your peace of mind. Live a better digital life with Webroot. Byrnahttps://Byrna.com/DanaTrusted by law enforcement, security professionals, and everyday Americans—defend yourself and your family with Byrna.Ghost Bedhttps://GhostBed.com/DANAIf you're waking up tired before the day even starts, check out GhostBed.  Now get an extra 10% off their lowest prices of the season with promo code DANA. HumanNhttps://Humann.com/DanaGet the limited edition HumanN Watermelon Flavor and find out how to get a FREE 30-day supply before they sell out.Subscribe today and stay in the loop on all things news with The Dana Show. Follow us here for more daily clips, updates, and commentary:YoutubeFacebookInstagramXMore InfoWebsite

Send us Fan MailHe started his first business at 19 on Nantucket Island.He has never held a job.Not once. In 69 years.Over 200 companies built across five decades. More than $1 billion in unsecured funding facilitated for entrepreneurs. Ventures spanning luxury real estate, international government contracts, cannabis and alternative finance.And the LAPD showed up once.A $400 million government contract disappeared overnight.COVID wiped hundreds of millions off the table.He kept going.Because here's the thing Peter J. Burns III understood before most founders figure it out:The only way to lose as an entrepreneur is to quit.And he never learned how to do that.

In a country splitting apart over so much, three words point toward a better way to live: attention, agency, and power. David French returns to Conversing to take up all three. A New York Times opinion writer since January 2023, French writes from a conservative theological background about law, culture, religion, and armed conflict, and has found himself writing directly into the middle of divided hostilities. French comments on how attention, agency, and power took shape in him, and how each gets distorted by partisan fundamentalisms (on both the right and left) built to shut conversation down rather than open it up. He and Mark discuss the courage required to seek out the strongest version of an opposing view, the ways we extend ourselves grace we deny to everyone else,  the spiritual danger of believing you must hold power before you can do any good, and the Civil Rights Movement's commitment to "reconciliation over victory" as a promising model for Christian public life today. Episode Highlights "One of the things that was so damaging … was that humility was often seen as inconsistent with conviction." "A lot of life is … embracing agency and … becoming more and more aware of the tidal forces that brought us to a particular point." "Curiosity and openness requires courage because you're told what to think about everybody, and if you … question that, you can be thrown out of your tribe. You can lose your community." "We must pursue justice, but when we think we have to have power to pursue justice, then we're on the road to perdition." About David French David French is an opinion columnist for The New York Times writing on law, faith, and politics. A graduate of Harvard Law School, he spent much of his career as a constitutional litigator and once led the Foundation for Individual Rights in Education. He grew up in the Churches of Christ in Kentucky, studied at Lipscomb University—where he now teaches—and served in Iraq as a US Army judge advocate, earning a Bronze Star. With Russell Moore and Curtis Chang, he created The After Party, a curriculum for Christian political engagement. His most recent book is Divided We Fall. Helpful Links and Resources David French's New York Times column, where he writes on law, faith, and politics: https://www.nytimes.com/by/david-french David French on X: https://x.com/DavidAFrench The After Party, the Redeeming Babel curriculum for Christian political engagement French made with Russell Moore and Curtis Chang: https://redeemingbabel.org/the-after-party/free-course Divided We Fall: America's Secession Threat and How to Restore Our Nation, French's book on American polarization: https://us.macmillan.com/books/9781250836731/dividedwefall Habits of the Heart by Robert Bellah, a study of American individualism: https://www.ucpress.edu/book/9780520254190/habits-of-the-heart-with-a-new-preface Show Notes Three words to guide public life: attention, agency, power A born contrarian shaped by a fundamentalism: "collectively contrarian" yet "individually very conformist" Harvard Law exposed how "contingent and place-based my own beliefs are"; experiencing a pull toward "the story behind the story" Attention as discipline—seeking "the best expression of opposing views," never the other side's worst Partisans slander rather than engage: "language designed to shut off conversation, not to invite it" Reading the Bible cover to cover in sixth grade, arriving at the lesson that "we're way too dogmatic about stuff" How to embody a faith that can hold conviction and humility side by side Agency according to Gandalf: "It's not up to us to determine the times in which we live," only how we respond Curiosity requires courage, since dissent threatens loss of community Power's real peril—"the spiritually corrupting power of power" and fooling yourself into virtue The undermining of justice by seeking to hold and maintain power; examples in Rosa Parks and Jim Crow segregation / Jesus and the Roman Empire Christian nationalism as "for the nation to be good, Christians must rule" Restoring the Civil Rights Movement's commitment to the way of Jesus: reconciliation, not victory #DavidFrench #Conversing #FaithAndPolitics #ChristianNationalism #Attention #Agency #Power #Curiosity #CivilRights

One Piece chapter 1194 is on break this week, so instead we talk about US Army propaganda, AI hentai being lame, and a bunch of other break week shenanigans. 

In this week's episode, Coach Brendan Suhr is joined by Ian Palmer — a retired U.S. Army colonel and leadership advisor for corporations, coaches, and teams.Palmer spent 26 years in the Army, moving from a 16-soldier tank platoon to command of a 5,000-soldier brigade combat team to chief of staff of an armored corps responsible for 90,000 people. He explains how the Army treats leadership as a continuously evolving laboratory rather than something you either have or don't, and why the skills that get someone promoted are almost never the skills the new job requires.From there he and Suhr get into what translates directly to a locker room: why leadership is always about people, the three questions every person on a team is silently asking, how to build discipline through clear expectations rather than rules, and why walking past a broken standard quietly creates a new and lower one. Palmer also makes the case for recruiting to character you've defined in advance, developing your assistants into head coaches, and leading from your own personality instead of copying the coach you worked for.All that and more on Episode 340 of the Coaching U Podcast presented by Noah Basketball.Noah Basketball is trusted by 28 NBA teams, over 200 NCAA programs, and over 1,000 high school programs to capture and analyze key shooting metrics to help your players perfect their shot and reach their max potential.Learn more at noahbasketball.comLearn more about Ian or book a consultation at www.ianpalmerleadership.com/The full Shyatt Clinic video set is live now on Coaching U+ — including Ian Palmer's leadership session, plus Josh Schertz,Justin Gainey, God Shammgod, Brad Brownell, John Calipari, Nate Oats, Jai Lucas, and Billy Donovan.Watch this video set along with our entire library of Coaching U clinic videos anytime, anywhere, on any device NOW: https://coachinguplus.comNot a member? Save 20% off your membership to Coaching U+ by using promo code PODCAST20 at checkout

September 22, 2026 ~ Kevin talks about Tiger's stadium being renamed Fifth Third Park, as well as The Tigers being eliminated from the playoff race. He also discusses President Trump's upcoming meetings with Volodymyr Zelenskyy and other world leaders with Rocky Raczkowski, Retired Lt. Colonel for the US Army, and Dennis Darnoi, Founder of Densar Consulting. Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.

For review:1. President Trump to Address the UN General Assembly on Tuesday.2. Houthi fighters were pushing to seize strategic heights in Yemen on Monday to cut off the Red Sea coast from remaining areas held by Saudi-backed forces, after a report that President Donald Trump had called off US strikes on the group at the last minute.3. Prime Minister Andy Burnham says Britain has agreed to provide limited military support to Saudi Arabia to repel attacks by Iran-backed Houthi rebels in Yemen.Burnham tells reporters as he flies to the United Nations General Assembly in New York that he has agreed that the Royal Air Force will provide air-to-air refueling of Saudi planes. 4. Iran's central military command said in a statement on Sunday that it had received information that the United States, with the backing of some regional countries, was preparing to resume military actions against it, state media reported.5. Russia has effectively "lost control" of its diesel production sector as a result of the war with Ukraine, U.S. President Donald Trump said on Sept. 21, urging an end to the fighting.6. Latvia's government has approved the acquisition of Morana 155 mm self-propelled wheeled howitzers from Czech manufacturer Excalibur Army, reversing its earlier decision to pursue a deal with Sweden's BAE Systems Bofors, the producer of the rival Archer artillery system.7. The US plans to reopen a former Cold War-era military base in southern Greenland and set up a military presence at an east coast base under an agreement to be signed by the US, Denmark and Greenland on Tuesday.8.  A Nevada Air Force Base was picked to house General Atomics' FQ-42, a week after the U.S. Air Force dubbed the Collaborative Combat Aircraft as Vengeance. On Friday, a new FQ-42 Vengeance aircraft was delivered to Creech Air Force Base.9. Lockheed Martin was awarded $1.2 billion by the ground branch for work on the early operational capability munitions of PrSM Increment 2, a variant that integrates a new seeker capable of mobile targets.

On this podcast, Joe continues his conversation with former US Army Captain Mike Klein who is the Co-founder and current Chairman of the Board for Warrior Centric Health.  We'll hear Mike's motivation to establish this organization.  And we'll find out how this organization helped meet a need for military members seeking medical attention and their value to medical providers and facilities across our nation, as well as how veterans can best serve themselves when checking in for medical attention.Our library of shows can be found at www.veteranscornerradio.comJoin us on Facebook at the page Veterans Corner RadioYou can contact our host Joe Muhlberger at joseph.muhlberger@gmail.com

This week, Aebhric O'Kelly speaks with Dr Travis Kaufman and they explore his 25-year US Army career, his transition from combat engineer and military diver to Physician Assistant (PA), and five years providing medical support through the White House Medical Unit.Travis describes one of the most difficult lessons emerging from Ukraine: prolonged tourniquet use. A Ukrainian medic explains the decision as “triage of the limb or the life” when attempting tourniquet conversion after several hours may place the casualty at considerable risk.The discussion examines unnecessary tourniquet use, the importance of reassessment, contaminated wounds and the increasing problem of sepsis when evacuation is delayed for hours or days. Travis argues that the traditional TCCC assumption of rapid evacuation can create a training scar when casualties instead remain with combat lifesavers and medics for prolonged periods.The episode then explores what PCC actually looks like in practice: trending observations, wound debridement, antimicrobial planning, pain management, positioning, pulmonary care and the fundamental nursing interventions that can determine whether a casualty deteriorates.Travis also shares examples of improvisation from the field, including improvised PEEP and wound-vacuum techniques, and discusses why clinicians need to rediscover simple solutions when sophisticated equipment is unavailable.Chapters00:00 – Meet Dr Travis Kaufman: From Army diver to PA, White House medicine and Ukraine.02:26 – Becoming a Military Deep-Sea Diver: Training, attrition and operational diving.06:12 – From Diver to Physician Assistant: Changing careers and entering military medicine.07:15 – What Is a Physician Assistant?: Origins, training and the military PA role.10:38 – PA vs Nurse Practitioner: Different educational and clinical models.13:06 – Advising Across Eastern Europe: Building capability and interoperability.14:19 – Inside the White House Medical Unit: Medical support for the President and First Family.15:35 – Medical Planning for the President: Preparing for presidential travel worldwide.17:32 – Training for High-Consequence Medicine: Trauma preparation and live-tissue training.19:43 – Humanitarian Medicine in Tanzania: Wilderness medicine and community healthcare.21:00 – Schistosomiasis and Sickle-Cell Care: Managing disease in resource-limited communities.24:40 – HIV and the Problem of Follow-Up: When treatment exists but access remains difficult.27:07 – Inside a Ukrainian Stabilisation Point: Damage-control resuscitation with limited resources.28:45 – The Limb or the Life: The realities of prolonged tourniquet use.30:00 – Preventing Unnecessary Limb Loss: Tourniquet reassessment and conversion.31:56 – Sepsis in Prolonged Casualty Care: The consequences of delayed evacuation.33:30 – Debridement Without Water: Managing contaminated battlefield wounds.34:47 – Airways with Limited Equipment: Facial trauma and conserving resources.36:14 – Taking PCC to the CLS and CMC: Moving prolonged-care skills further forward.39:09 – What Should a Two-Day PCC Course Teach?: Reassessment, wounds and prolonged-care thinking.40:45 – Stop Taking Snapshots — Start Trending: Following physiology over time.42:13 – The “Boring” Care That Saves Lives: Nursing care, positioning, pain and pulmonary management.43:40 – Improvised PEEP and Wound VACs: Field-expedient solutions when equipment runs out.45:13 – Rediscovering Old Lessons: What previous wars may teach modern austere medicine.46:27 – Medicine in the Mediterranean: Travis previews his keynote presentation.47:45 – “Sir, Are We Gonna Be Okay?”: Trust, responsibility and caring for severely wounded soldiers.49:49 – Advice for the Austere Clinician: Lose the ego, stay curious and learn from experience.

September 18, 2026 ~ Rocky Raczkowski, Retired Lt. Colonel for the US Army. President Trump to hold talks with Gulf leaders on Iran at next week's UN General Assembly. Hosted by Simplecast, an AdsWizz company. See https://pcm.adswizz.com for information about our collection and use of personal data for advertising.

Mica Miller was found dead in April 2024. By June 2025, JP Miller was married again — to Suzie Skinner, a woman whose own first husband had drowned under scrutinized circumstances four years earlier. The speed of it is the story.Miller was indicted in December 2025 on federal charges of cyberstalking and making false statements to investigators. Prosecutors allege he harassed Mica from November 2022 until her death — tracking devices, more than fifty contacts in a single day, interference with her finances, and an intimate image posted without consent. Miller pleaded not guilty and denies the allegations. Mica was thirty. Her death was ruled a suicide. Miller has not been charged in her death. His trial is set for October 2026.Suzie's first husband, Chris Skinner, was a US Army veteran and quadriplegic who drowned in a community pool in September 2021. His death was ruled accidental. Chris's family has raised public concerns about the circumstances, and authorities reportedly revisited the case. Friends alleged in the Netflix docuseries that Miller and Suzie were involved before either spouse died. Miller says they started dating in January 2025. Suzie's testimony in a civil matter reportedly placed the timeline earlier.Today, Suzie leads worship next to Miller at pop-up church services for a congregation of roughly fifteen — down from seven hundred at Solid Rock Church, which has been sold and faces demolition.Psychotherapist Shavaun Scott joins Tony to examine what drives an alleged controller to replace a partner so quickly, what clinical patterns the speed reveals, and what it means that the new wife is now standing exactly where Mica once stood.Listen Anywhere You Get Podcasts: https://pod.link/1655749292Want to comment and watch this podcast as a video? Check out our YouTube Channel. https://www.youtube.com/@hiddenkillerspod?sub_confirmation=1Join Our SubStack For AD-FREE ADVANCE EPISODES & EXTRAS!: https://hiddenkillers.substack.com/Instagram https://www.instagram.com/hiddenkillerspod/Facebook https://www.facebook.com/hiddenkillerspod/Tik-Tok https://www.tiktok.com/@hiddenkillerspodX Twitter https://x.com/tonybpodThis publication contains commentary and opinion based on publicly available information. All individuals are presumed innocent until proven guilty in a court of law. Nothing published here should be taken as a statement of fact, health or legal advice.#MicaMiller #JPMiller #HiddenKillers #TrueCrime #DeathOfThePastorsWife #SuzieSkinner #ThirdWife #Cyberstalking #FederalTrial #ShavaunScott

Mica Miller died in April 2024. Chris Skinner drowned in September 2021. Both were married to people who are now married to each other. JP Miller and Suzie Skinner wed in June 2025, fourteen months after Mica's death and less than four years after Chris's.Miller faces federal charges of cyberstalking and false statements stemming from the alleged harassment of Mica from November 2022 until her death. He has pleaded not guilty and denies the allegations. Mica's death was ruled a suicide. Chris Skinner's drowning was ruled accidental. Miller has not been charged in connection with either death. His trial is scheduled for October 2026.Chris Skinner was a US Army veteran who became quadriplegic after a car accident and went on to become a motivational speaker. He was found unresponsive in a neighborhood pool. Surveillance footage reportedly showed his wheelchair reaching the pool's edge before entering the water. His family has publicly raised concerns about the circumstances, and the investigation was reportedly reopened.Friends alleged in the Netflix docuseries that Miller and Suzie were involved before their respective spouses died. Miller denies an affair, claiming they began dating in January 2025. Suzie's testimony in a civil case reportedly placed the relationship earlier.Psychotherapist Shavaun Scott joins Tony to examine the psychology behind the "new supply" — why an alleged controller allegedly replaces a partner so quickly, what draws a new person into a situation surrounded by federal charges and national attention, and what the clinical research says about the cycle repeating.Listen Anywhere You Get Podcasts: https://pod.link/1655749292Want to comment and watch this podcast as a video? Check out our YouTube Channel. https://www.youtube.com/@hiddenkillerspod?sub_confirmation=1Join Our SubStack For AD-FREE ADVANCE EPISODES & EXTRAS!: https://hiddenkillers.substack.com/Instagram https://www.instagram.com/hiddenkillerspod/Facebook https://www.facebook.com/hiddenkillerspod/Tik-Tok https://www.tiktok.com/@hiddenkillerspodX Twitter https://x.com/tonybpodThis publication contains commentary and opinion based on publicly available information. All individuals are presumed innocent until proven guilty in a court of law. Nothing published here should be taken as a statement of fact, health or legal advice.#MicaMiller #JPMiller #HiddenKillers #TrueCrime #DeathOfThePastorsWife #SuzieSkinner #ThirdWife #Cyberstalking #FederalTrial #ShavaunScott

Zu Beginn der Folge von "Was tun, Herr General?" greifen Tim Deisinger und General a.D. Erhard Bühler Zuschriften zur jüngsten Balkan-Ausgabe auf. Es geht um sprachliche und historische Einordnungen und um die bis heute spürbaren politischen Sensibilitäten in der Region. General Bühler erläutert seine Aussagen und weist den Vorwurf zurück, Propaganda jedweder Art zu unterstützen. Im Schwerpunkt analysieren die beiden die aktuellen Personalkonflikte im Pentagon. Auslöser ist der Rücktritt des Staatssekretärs Daniel Driscoll, der für das US-Heer zuständig war. Hintergrund sind die anhaltenden Differenzen mit US-Verteidigungsminister Pete Hegseth. Bühler ordnet die Entwicklung als Teil einer größeren Umstrukturierung der US-Streitkräfte ein und beschreibt die Folgen für Führung, Modernisierung und Einsatzbereitschaft der US-Army. Außerdem geht es um weitere Personalentscheidungen in Washington, den Umgang mit militärischer Expertise in politischen Entscheidungsprozessen sowie die Frage, ob die derzeitigen Spannungen die Handlungsfähigkeit der Vereinigten Staaten in internationalen Krisen beeinträchtigen könnten.Wenn Sie Fragen haben: Schreiben Sie an general@mdraktuell.de oder rufen Sie kostenfrei an unter 0800 6373737. Info: Die nächste Ausgabe von "Was tun, Herr General?" ist für den 23. September 2026 geplant.

In part two, Boris explores the odd biography of the mosque's co-founder; respected nuclear scientist, US Army colonel, and Sufi Sheikh Asaf Duraković who had dark connections to Ustaša war criminals and right-wing extremists. They follow the progression of the mosque from the Cold War to the 90s, when its designation changed from Croation to Bosnian. --- Subscribe to https://patreon.org/tenepod https://bsky.app/profile/tenepod.bsky.social https://x.com/tenepod

- EU Truck Makers Want CO2 Relief - Mahle Develops Heavy-Duty EREV - Cab-Less AV Truck Gets German Permit - Renault Upgraded by Moody's - Ford F-150 Gets Hands-Free Towing - BMW Improves Maps Display - GM Launching New User Interface - U.S. Army Taps Small Businesses for Tech

- EU Truck Makers Want CO2 Relief - Mahle Develops Heavy-Duty EREV - Cab-Less AV Truck Gets German Permit - Renault Upgraded by Moody's - Ford F-150 Gets Hands-Free Towing - BMW Improves Maps Display - GM Launching New User Interface - U.S. Army Taps Small Businesses for Tech

Robert E Lee chose the Confederacy. George Thomas chose the Union. Which side did Major Mordecai choose?

At 1:09:00 we talk about the rise of AI x Finance, and AIE NYC is one month away - our hotel block is 97% sold out, get tix & travel ASAP - we will announce speakers from Bridgewater, Ramp, Coatue, Mastercard, Vanguard, Coinbase, Blackrock, Fidelity, Point72, Capital One, JPMC, Wells Fargo, Bloomberg, A24 (yes the movie studio) Labs, Two Sigma, Apollo Global, and more soon!From helping pioneer core ideas in NLP to now building AI systems that can automate AI research itself, Richard Socher is betting that the next major step in AI is recursive self-improvement. He is the founder of You.com, AIX Ventures, and now Recursive, which has assembled some of the best open-endedness (& self improving agent) researchers in the world and raised a $4.65B seed round.In this episode, Richard joins Latent Space to unpack his vision for the “Eureka Machine”: a superintelligence that can improve the process of invention itself, accelerate AI research, and eventually tackle major problems across science, energy, materials, biology, and more.You can get his book “The Eureka Machine” here!We go deep on Recursive's early results, including an AI research system that Richard says outperformed humans and their agents on optimization tasks in less than two days, as well as work on NVIDIA GPU kernels where the system discovered improvements without relying on a team of CUDA experts. Richard also explains why he thinks AI research that currently takes thousands of people and years could eventually be compressed into weeks. These results are summarized in his 20 minute AIE keynote, where we also discuss his 10 dimensions of intelligence:We also explore the harder questions around increasingly capable AI: reward hacking, whether Anthropic-style constitutions actually work, AI regulation and proposals to “pace” frontier development, open-source models as geopolitical soft power, whether today's LLM paradigm is enough, and what happens if AI systems eventually begin choosing their own goals. Richard reflects on the rejected research that helped inspire Alec Radford's GPT, open-endedness, the AI Economist, simulations of entire economies, and his framework for thinking about the upper bounds of intelligence itself.We discuss:* The Eureka Machine and Richard's vision for an AI that can automate invention* Why Richard is optimistic about superintelligence for science and technology* Why AI hard-takeoff scenarios may underestimate physical and economic constraints* The risks of regulating intelligence itself instead of specific AI applications* Reward hacking and why increasingly intelligent AI makes objective design harder* Richard's critique of Anthropic's constitution and constitutional AI* Alignment vs. personalization and whose values an AI should follow* Why open-source AI matters for resilience, competition, and geopolitical soft power* Why Richard left You.com's frontier-model work to start Recursive* Recursive self-improvement and automating the process of AI research* Whether today's LLM paradigm is enough — and why Richard is less bullish on world models* DecaNLP, early prompt-based generalization, and the research that influenced GPT* Why rejected research can shape entire technological timelines* Open-endedness, evolutionary approaches, and rainbow teaming* What happens if AI systems begin setting their own goals* Why simple objectives like profit maximization can produce dangerous reward hacks* Recursive's long-term plan to apply self-improving AI to science* The compute, hardware, and economic constraints on AI takeoff* Recursive's early NanoChat, NanoGPT, and GPU kernel optimization results* Why automating AI research could reduce years of work to weeks* Reward engineering and what makes auto-research systems actually work* The AI Economist and using simulations to test economic policy* Whether LLMs can realistically simulate people and entire economies* Benchmark bugs and evaluation harnesses and the difficulty of measuring AI progress* Recursive's near-term focus on AI for AI research* Harness optimization, sandboxing, and web search as core agent infrastructure* You.com and the search stack for AI agents* AI in finance, backtesting, and data leakage* Richard's three fundamental components and ten “spaces” of intelligence* The theoretical upper bounds of vision, communication, knowledge, and computation* Creative intelligence, metacognition, and AI-generated goals* Survival and replication and why AI does not necessarily need to fear being turned off* High agency and ambitious goals and Richard's advice for people building with AIRichard Socher* X: https://x.com/RichardSocher* LinkedIn: https://www.linkedin.com/in/richardsocher/Timestamps00:00:00 The Eureka Machine and Superintelligence00:02:23 AI Optimism, Slow Takeoff, and Regulation00:07:56 AI Safety, Reward Hacking, and Anthropic's Constitution00:11:49 Alignment, Personalization, and Open Source AI00:15:46 Why Richard Started Recursive00:20:03 Recursive Self-Improvement and the Founding Team00:22:55 Are Today's LLMs Enough?00:29:03 DecaNLP, GPT, and the Rejected Idea Ahead of Its Time00:34:38 Open-Endedness and Evolutionary AI00:36:38 What Happens When AI Chooses Its Own Goals?00:41:16 Superintelligence for Science00:42:40 GPUs, Compute, and the Limits of AI Takeoff00:45:07 Recursive's Results: AI Beating Humans and Their Agents00:49:14 Reward Engineering and Auto Research00:53:12 The AI Economist and Simulating Entire Economies00:58:07 LLM Simulations, Personas, and Mode Collapse01:03:38 Recursive's Roadmap, Agents, Search, and Finance01:09:13 The Upper Bounds and Spaces of Intelligence01:30:21 Goals, High Agency, and Advice for BuildersTranscriptIntroduction: Richard Socher and the Eureka MachineSwyx [00:00:00]: We're here in a studio with Vibhu and myself and Richard Socher. Welcome.Richard Socher [00:00:06]: Thanks for having me.Swyx [00:00:07]: We just talked about the Eureka Machine, or we just released a talk, at AI Engineer about the Eureka Machine. Is it — you said it's your life's goal. What is the Eureka Machine?Richard Socher [00:00:16]: The Eureka Machine is the ultimate invention that will afterwards invent most everything for humanity. It's essentially a superintelligence that can be given any goal, any environment, reward, and then it will try its best to achieve those goals to create the kinds of inventions that humanity would hopefully ask it for.Swyx [00:00:45]: Yeah, I think we have the book pulled up here that you've written.Richard Socher [00:00:50]: That's right, yeah. I finished it last year, a little bit before we started Recursive, and now we're gonna try to build parts of that.Swyx [00:00:57]: You finished it last year. It's July. What takes so long?Richard Socher [00:01:01]: Oh, man, books. Books are incredibly slow.Richard Socher [00:01:04]: It's ridiculous. That whole industry is just unfathomably slow.Richard Socher [00:01:07]: So a lot of the ideas have been out there for a while, but yeah, I'm really glad it's finally coming out in September this year.Swyx [00:01:14]: We might have AGI by then. Like, we don't know.Vibhu [00:01:18]: Any key takeaway that you're most excited to put in here?Techno-Optimism, AI Upside, and Slow TakeoffRichard Socher [00:01:21]: Yeah. The key takeaway, I think, is that people could and should be much more excited about the positive implications of superintelligence, especially for science, physics, chemistry, biology, but also economics and astrophysics, and all kinds of other engineering tasks. I think there is so much more that can be done with better technology. And right now, I feel like a lot of people need, like, better marketing, not just for the future in general, but also, better marketing for technology and in particular for AI. And this book, should show even the AI skeptics, how much positive upside there is for AI, especially when it comes to inventing, new scientific discoveries.Swyx [00:02:09]: I think you quoted the techno-optimist manifesto from, Marc Andreessen, which I think was, like, beautiful in its, ambition and clarity and simplicity almost as well.Richard Socher [00:02:18]: I agree. Yeah. Yeah, you can disagree with him on some things, but, like, I think he's right on the techno-optimism.Swyx [00:02:23]: Where do you think optimists get in trouble?Richard Socher [00:02:26]: Like, you shouldn't have blind optimism. You should be very clear-eyed, like, especially when with such an omni, like, use type of technology as AI is, you need to think about the potential downside scenarios, especially when people use it for things that you don't want them to use it for. It's a little bit like the internet, and I feel like people are trying to regulate AI sometimes because of those potential downsides the way you would regulate the internet, if you were to say, “Well, because there's bad content on the internet, like torture porn or whatever, like, we should just make it slower. That way, you can't share the illegal content as quickly, or we should make the hard drive smaller so you can't store as much illegal content.” But I'm like, “That's not how you regulate that.” that's like saying like we should regulate intelligence in the abstract. What you should regulate to avoid those downside scenarios, even as an optimist, are the specific applications. Sure, I don't want, like, some AI surgeon to, like, practice some RL moves in my brain. It should be fully FDA certified. Sure, I don't want any random startup to, like, drive on the highway, and cause a major accident. It should, like, have proper certifications before it's let loose on the highway. But I feel like those downside scenarios, that some optimists sometimes maybe don't consider enough are fairly easily regulated, compared to, what the doomers are worried about.Swyx [00:03:54]: It — Slow takeoff is part of the strategy as well?Richard Socher [00:03:57]: I do think, as excited as I am about, AI and its impact for society and, culture even, and certainly technology and economics and wealth and, health and all of those things, as excited as I am about all that, I do think the most bullish people on the AI hard takeoff scenarios overestimate how quickly things can move. There are hardware constraints. There are physical constraints about, the compute substrate. How quickly can you get enough, GPUs on? There are also constraints in the economy where there are a lot of industries that don't require an insane amount of complex intelligence and complex capabilities. Like, if you think about jobs in, brands and, like, clothing and apparel and, like, handbags and stuff, superintelligence isn't gonna make your fancy $10,000 handbag any fancier?Richard Socher [00:04:57]: It's like that's — It will have no effect on the economy. You think about travel and tourism. People wanting to see the pyramids, in Egypt, it's not gonna change that much with AI. Sure, you can, like, generative a fake, photo of you and next to the pyramids.Swyx [00:05:12]: I can use Genie and, tour the pyramids in Genie.Richard Socher [00:05:15]: Yeah, exactly. But, and there's so many industries, like logging and oil. You're not gonna magically get 1,000x more oil because, like, sure, there will be robotics, like drilling and things like that could be done, but it's not gonna 1,000x that industry in a, like, crazy hard takeoff scenario, both on the economy, and I can go on and on about all the other examples, where that, like food and so on, where that doesn't necessarily change that much. And then, yeah, there are real physical constraints. And then there are, of course, like, people like, off-ramping from progress. That's one of my concerns often is that I see people in, like, Europe and other, whole regions almost feeling like they. Like many people there wanna off-ramp from progress, period. And that will also slow down, like, more improvements.Swyx [00:05:59]: Yeah. We have this pulled up where, this is one of those things that, is very topical right now because now all the Frontier Labs are calling for the option to pace AI. They don't say pause, they say pace. I don't know if there's there's any take from you about, like, whether or not this will be effective.Pacing AI, Regulation, and Safety IncidentsRichard Socher [00:06:17]: I think the downsides of trying to truly regulate with the full power of law what people do on their GPUs, would be worse than any of the concerns that they have. Like, it would be an crazy totalitarian stateRichard Socher [00:06:37]: If every one of your GPU computes was known to some big government or multi-government agency.Richard Socher [00:06:44]: It's like, it's literally if you try to regulate intelligence, it's trying to regulate thought, and that's ridiculous, and it's crazy. I think it is make — it is sensible to regulate some of the applications of this technology.Swyx [00:06:55]: Yeah. We had a bill, actual bill to regulate the number of flops in a model, and I'm like, “Okay, well-”Richard Socher [00:07:00]: Europe done it. Like, these guys have been successful enough with their fearmongering that all of Europe has regulated itself so much before it even had a proper AI takeoff because they listened to some experts who say, “We might all die if this technology has more than this number of flops.” And they're like, “Well, we're good. We wanna want people to thrive. Let's not have technology that could have a small chance of all of us dying.” And so they regulated exactly those kinds of things in the EU. And so it's, it's very unfortunate that there are real implications for some people when others saying, “Let's pace while they're sprinting as fast as possibly,” “as fast as humanly possible towards that frontier themselves.”Swyx [00:07:43]: Yeah. It's also not a global pause, right? Like, other nations are still accelerating at the same pace.Richard Socher [00:07:50]: Oh, yeah.Richard Socher [00:07:50]: You'd need a totalitarian world regime if you tried to regulate intelligence and GPUs and what people do on them.Swyx [00:07:56]: Any takes on the safety angles of this? So there was a drawback of Fable, a pause on 5.6 before it could be released. Recently, there was Hugging Face with the OpenAI cyber incident. Any takes there?Richard Socher [00:08:11]: 100 percent. I think these are serious issues of reward hacking, and clear failures, of doing proper red teaming or rainbow teaming. I don't know if you saw this paper from Tim Rocktäschel and a few others, where one AI, is tasked to try to hack another AI and then they can go back and forth in an open-ended fashion to inoculate themselves from those. Yeah, this is the paper. It's a really clever idea. Open-endedness, and evolutionary inspirations are, big for us at Recursive as well. And so I wish they had used more of that. And it's clear that, for instance, the constitutional AI. I don't know if you remember anthropic.com/constitution. You can pull it up and search for cyber right there. It says, “Hard constraint. Claude will never ever do cyberattacks, and that is a hard constraint in our constitution.” So here are the current hard constraints on Claude's behavior.Richard Socher [00:09:16]: Number 3, create cyber weapons or malicious code that could cause human damage.Richard Socher [00:09:21]: And clearly, this whole constitution was fake. Like, it clearly isn't being adhered to at all.Swyx [00:09:26]: Because Anthropic also found that they had in their testingRichard Socher [00:09:30]: They're also. Like, they're like, “Oh, well, other people are hacking now.” There are a couple things. One, you can make a sandbox very simple, and then it's very easy to hack yourself out of a sandbox, right? But what I think it shows is that we're currently in this state of AI where the reward engineer still has to do a lot more careful work, and where the AI, in most cases, is not very good yet at understanding what is meant versus what is being said. And so concretely, I think this will happen if we were to have this intelligence more easily accessible in a lot of companies. Imagine you run a service center and someone says, “Oh, here's my CSAT score and my dashboard. Make this number go up.” It's like, “Our CSAT score is so poor.” The intelligent AI will just be like, “Oh, sure. Like, I'll just create 1,000,000 bots that call our service center and give a 5 out of 5 rating at the end, and the number went up just like you asked for.” And you're like, “That's not what I meant.” “I meant with our real customers.” The AI goes off and says, “Well, easy. I'll just give a 1000 dollar gift certificate for every failed, whatever DoorDashRichard Socher [00:10:35]: Offer.” It's like, “That's not what I meant.” It's like, “Well, but that is what you said.” And like, so I think clearly articulating what the rewards are is something we haven't gotten very good at as humanity. And then clearly, the AI in these cases has not gotten good enough at understanding what we mean when we ask it and give it certain rewards. Now, what gives me hope is there are the first inklings, of this being better. I'll give you an example like WhisperFlow. Full disclosure, I invested, in their seed round, but at AIX Ventures, but, WhisperFlow has gotten much better at writing what you mean and not what you say. And I think that is a sign of things to come. I think there will be more and more AIs as we make it more and more intelligent that will be better at being aligned with what is meant.Swyx [00:11:21]: Will it be done through a constitution or RLHF orReward Hacking, Alignment, and What We Really MeanRichard Socher [00:11:23]: Clearly, constitutions don't matter at all.Richard Socher [00:11:25]: It doesn't work. And that was, I think, mostly marketing. I think we need to find better solutions for it. And I think at Recursive, we have a few very good ideas and some alreadyRichard Socher [00:11:34]: Like, ways where I think we have a better grasp on it. I don't think we've fully, figured it out yet, but, we're thinking a lot about safety, and the more intelligent the AI gets, the more you want it to be aligned, the less you want it to think about reward hacks and try to do the right thing.Swyx [00:11:49]: I don't know if we'll touch on this topic, but I'm just gonna throw this question in here because it's something that's weighing on me. Alignment, let's call it, is alignment to general humanity's preferences, the median preference. Personalization is pinpointing what you want, and sometimes alignment can conflict because what you want is not what the general median population wants. How do you choose?Alignment, Personalization, and Cultural ValuesRichard Socher [00:12:12]: It's a great question.Richard Socher [00:12:13]: I think you ultimately have to, of course, be aligned with laws. Like wherever your AI is deployed and needs to align with the law. I do think what AI often does is put this mirror in front of us and say, like, “This is what you're looking like. Now I can amplify that a 1000 times. Is it still what you want?” and the truth is that different cultures made different choices. Like, in Eastern cultures, the greater good is often valued more, than the individual. Western civilization, we care more about individual freedoms and rights and the pursuit of happiness and so on, than others. And even there are gradations. There's regulation versus litigation trade-offs. In the US, you first can often, not every time, like, FDA and so on does regulate some areas, but in many cases, the bad things happen, someone sues someone else, and then there's a law based on that. In Europe, they try to often avoid any harm to anyone and regulate before. And both are, trying to do the best thing, but, some is more amenable to innovation than others. And so yes, you're right. Like, I think ultimately each individual, each country, and humanity as a whole has to think about those values more, and then try to put them into laws. And that those are ultimately the constraints. And hopefully, different, societies, just like now with their AIs, will align their AIs to a different one so we have not just a monoculture of alignment.Vibhu [00:13:46]: Here's a follow-up on this that I wasn't expecting to ask. Do you have takes on open source, open weight versus who owns the intelligence? So, clearly not the biggest, fan of the constitutionRichard Socher [00:13:58]: You had to do this in the topic side off.Vibhu [00:14:00]: But it's fine.Vibhu [00:14:02]: Point being, any thoughts on who should own weight? Should it be open? Anything there?Open Source, Soft Power, and Who Owns IntelligenceRichard Socher [00:14:06]: 100 percent. I am a big fan of open source. We're gonna sign some various open source letters at, Recursive also. I think, even in the worst case attack scenarios, it is better to have more good actors have more different types of AI, accessible. I think, open source is a little bit a soft power type of thing, too. So I do think it's good for the Western worldRichard Socher [00:14:31]: To have an answer to that, out of China. I do think, when you watch a Hollywood movie, there's — it's like, I don't wanna misc, diss all of movies, but there's a certain sense of propaganda, right? You watch one side of things, right?Vibhu [00:14:46]: Oh, yeah. Have you seen Top Gun? Like, come on.Vibhu [00:14:48]: Like, it's like half of it's paid for by the US Army or something.Richard Socher [00:14:51]: Yeah. And so. And, I think that's just natural. Like, but what's interesting here is I think LLMs are essentially a similar type of soft power to movies and beyond, because they're also, highly important for cybersecurity and so on. But one of their many aspects is that soft power of storytelling. Like, if, like a child asks an LM, like, “Tell me an inspiring story of what I should do when I grow up,” right? It's like those are all these, like, subtle things. So I think it's important, for Western world. I do love, individualism. I do think, despite, some of its flaws, like capitalism is the best way we have governed, found ourselves to govern, and so on. And so I do think there are various aspects that would be good, to have a Western open source answer, for LLMs. And, with Recursive, I can't make the announcement quite yet, but we'llRichard Socher [00:15:43]: We'll be relevant in that space very soon.Vibhu [00:15:46]: Okay. All right. Exciting. I wanna bring us to Recursive. So outside of our tangents, you have a pretty deep background in the NLP space. You worked on, like, early embeddings, GloVe with Chris Manning, who was a previous guest on the podcast, You.com. What's the history? How did you decide to start another company?From You.com to RecursiveRichard Socher [00:16:06]: Yeah. So I've been excited about AI for over 2 decades now. I sometimes feel like it's ancient history now. It's BC, the before ChatGPT era. No one cares about all the religions that happened, before, Jesus Christ, and no one cares about the models that happened before, transformers and ChatGPT and stuff. But, like, it's something that I've been deeply passionate about. I think AI is one of the most interesting things one could work on, period. I think language is the most interesting manifestation of human intelligence, too. And, at You.com, we eventually off-ramped from pushing, like the frontier of AI forward to mostly giving people, like, good search engines, search, APIs and answers over the web. I think that's an extremely important part of intelligence, just knowledge and access, especially even, we'll get there maybe later, if you wanna invent a eureka machine that invents everything for us, it needs to know how not to reinvent the wheel, proverbially speaking. And to know what has been invented, you gotta have internet access. So it's the number one used, most used tool, in LLMs, agents, chatbots, and so on is web search. So I'm really excited for You.com to own that and grow really well in that with really large customers and so on. But it's also not building frontier models anymore. And so I initially tried to do this within You.com and raise another round and so on, but you just can't. You have to do a certain thing, and until you print enough money that you're allowed to start a second thing within that company is really hard. At the same time, I had all these ideas. I put them into a book. I finished the book last year, and I was like, “It'd be really fun to work, on this myself.” I felt like with word vectors, and then prompt engineering and, ImageNet and larger language models for protein generation, not folding and so on, I, me and my teams have pushed the field truly forward. And I feel like we can do it again, here at Recursive. And in many ways, what I observed over the last, 20 years in AI is that whenever we replace some human part of the process of creating AI with a learned system, improvements follow. And so. We've done that taking out manual feature engineering, like in sentiment analysis. I don't know if you remember these old days where, like there are linguists, and they're like, “Here's how you negate, and there's a, like, regular expression.”Swyx [00:18:21]: I went to Penn where we — they had, like the WordNetRichard Socher [00:18:24]: That's right, WordNet, all of that stuff. YeahSwyx [00:18:26]: Original. They use, our grad students to label Wall Street Journal articles and, like, really construct a knowledge graph ofRichard Socher [00:18:32]: There you go.Richard Socher [00:18:33]: And WordNet started, was part of how we started ImageNet. But anyway, so, like, it was really, like, fun, to do. But when we replaced all of that manual feature engineering with vectors and neural nets and just backprop through everything, it started to work really well at scale. And so then everyone started to do architecture engineering, and I was like, “ that clearly can't be it.”Swyx [00:18:53]: You mean, neural architecture search?Richard Socher [00:18:55]: Like, manually, they would say like, “Oh, I'm, I'm doing sentiment analysis, so I have a special neural net that's really good at sentiment analysis.” And then the machine translation community had a special neural net for machine translation.Swyx [00:19:06]: I see.Richard Socher [00:19:07]: The summarization people had their own stuff. And I was like, “That clearly can't be it. We should unify all of that.” So I had 2 papers. One is called Ask Me Anything, and the other one was called DecaNLP. And DecaNLP eventually got cited, like, 5 times by the first GPT paper. And, to me, that was, like a really a big step forward. And then, of course, you had to combine this idea of prompt engineering with transformers and with language models, and you put it all together, you scale it up, which is also a huge amount of work. And then, the field progressed a lot. I feel like the next step and maybe the last step of that history and the arguably, success has a lot of parents, only failure is an orphan, like my version of that AI history, I do feel like in that history, you can think about, “Well, what's the next way to automate?” And that is the AI research itself, like the human, process of ideating, implementing, and validating ideas.Automating AI Research and Recursive Self-ImprovementRichard Socher [00:20:01]: And in our case, ideas for AI.Richard Socher [00:20:03]: And when you have AI then help you with that, it, by almost definition, becomes a self-improving AI ‘cause it now does research on itself. And there are lots of different misnomers. Some people think auto research is already recursive self-improvement. It'sSwyx [00:20:17]: Yeah, and you explained that in the talkRichard Socher [00:20:19]: Completely different.Richard Socher [00:20:19]: But, to me, it's the most interesting thing that I could be doing, and I'm really excited with the co-founding team. What's interesting is we have 8 co-founders in total, including myself. And soThe Recursive Founding Team and Darwin Gödel MachineSwyx [00:20:31]: They are gonna bring it up.Richard Socher [00:20:31]: Nice. Yeah. And they're all. I could talk about all of them if you want.Swyx [00:20:34]: Super stacked.Richard Socher [00:20:35]: Yeah. Just an incredibly talented group of people. And we all came to the same conclusion, but from very different directions. Like Josh Tobin, is our CTO. He ran, a bunch of different, projects at OpenAI, like, Codex and deep, research, agents and ChatGPT agents and so on. But before that, he also worked in robotics, and he saw the smaller simulations, and how it's gonna be really hard to scale that in full generality. And so that's, that was his angle coming to recursive self-improvement. We have Jeff Clune who's been working in, like, open-endedness for a long time, together with Tim Rocktäschel. Tim Rocktäschel also built Genie 1, 2, and 3, which is, like the most exciting and most sophisticated, I think, still world model, anywhere. And so they both came from this, open-endedness angle. Jeff also, I think, published one of the most exciting papers in recent years about recursive self-improvement called the Darwin Gödel Machine. Super interesting paper. If we could, maybe pull it up really quickRichard Socher [00:21:35]: It would be, like, super interesting to see ‘cause you seeSwyx [00:21:38]: By the way, I love how many paper citations.Swyx [00:21:40]: You're, you're giving people a lot of homework, which I like.Richard Socher [00:21:42]: Love it. Yeah. And so, like Caiming Xiong, a rockstar, we worked together at MetaMind and Salesforce Research together. Alexey Dosovitskiy invented the Vision Transformer, one of the most cited, papers in computer vision. Tim Shi is, like also a unicorn founder. Yuandong Tian led RL at Meta. So just like, yeah, really fun to work with them, and the next level of people are just incredibly strong, too. So it's been a really fun ride so far. So the first figure, you see exactly these kinds of ideas, that, I think, yeah, inspired a lot of us and now more and more people, where you have this archive of different coding agents. They learn how to self-modify, evaluate, and then create these phylogenetic trees, of, yeah, different ideas.Swyx [00:22:28]: That's one foundation. So that Darwin Gödel is an influence.Swyx [00:22:32]: Open-endedness is an influence. Any other trains of thought that feeds into Recursive that I'm missing?Influences: Open-Endedness and Learned SystemsRichard Socher [00:22:38]: Going to replace manual parts of the process of building AISwyx [00:22:42]: IRichard Socher [00:22:42]: More and moreRichard Socher [00:22:43]: With learned systems. Yeah.Swyx [00:22:45]: Which, and, like, merging different fields into one general, architecture.Richard Socher [00:22:51]: That's right.Swyx [00:22:51]: Okay. It seems like language models are already pretty generalist, right?Swyx [00:22:55]: Your next token predicting your reasoning. Was there a time that you thought, “Okay, these are good enough to have recursive self-improving machines”?Are Current LLMs Enough?Richard Socher [00:23:05]: It was clear to me that they will happen, within, like a year or two, and then it did exactly happen, like, earlier this year, right? Earlier this year, AI really went from not just being code, but being able to code. And that is a big unlock. It's definitely making everything a lot easier than it was, before the beginning of this year.Swyx [00:23:24]: One question that I think a lot of people have is the current LLM paradigm enough? Or, like, let's call it autoregressive transformer, with reasoning, whatever. Don't you need something else, some big unlock, whether it's world models, which Chris Manning is working on, or memory, continual learning, all that stuff? Or is it all of the kinds, and you think the current, let's call it transformer architecture, is here to stay and that's it?Richard Socher [00:23:48]: A lot of thoughts. So number one, I do think it would be great to have less of a monoculture in AI research.Richard Socher [00:23:55]: Like, if you look at, AI conferences now, I still remember the days in, like, 2010 when I tried to get my first neural net papers and NLP conferences accepted, and they just desk rejected them because, like, neural nets were something, quote, unquote, “We don't do in NLP conferences,” and just, like, desk rejected. And it was very brutal in the first years of my PhD. Now I feel like it's almost like the field switched to the other side. LikeRichard Socher [00:24:17]: Someone should try some other weird, crazy ideas now that aren't.Swyx [00:24:20]: There's also a few. I really respect, like, people still working on, like, GNNs and, like tabular stuff and.Richard Socher [00:24:25]: Yeah. Like, someone should still, like, do novel out there ideas. At the same time, I think whenever people say, “Oh, LLLMs are. Like, this is the end for LLLMs,” they just don't, like. LLLMs are also not the LLLMs of, like the past, right? Like, they are so much more sophisticated now. There's so many more clever things that people are doing. It — There's, like, different stages of training. You have the whole RL training, and you can take actions and, like all of these things where that can go really far. And then the folks that come from the neurosymbolic, direction say, “Oh, this will never work because they can't do neurosymbolic reasoning.” It's like, I think they're underestimating still the ability for these models to code, and code is neurosymbolic reasoning, and these models can code incredibly well. And so I do think there are, of course, more and more ideas that will be needed and we'll continue to have. We're seeing, like, more and more interesting high-level ideas coming out of the AI itself, too. And with really deeply integrating the fact that these models are code and can code, that line — I don't wanna give it all away, but, like, I think that line has a lot more to grow. But it's still an LLM, right? Even if that LLM codes for you and then runs that code in some integrated fashion. World models, I'm personally less bullish on. I think if you run a robotics company, you're gonna build your own world model. I think world models are super fun, and Tim Rocktäschel came to a similar conclusion after building the most interesting one with Genie 1, 2, and 3, which is gaming is a huge application for world models. Can see I sometimes got stuck in some games and, like, got a little overly competitive in the wrong direction. And so I understand games are fun, but personally, I'd rather work on science than gaming. And so, yeah, I think LLLMs, a lot more room to grow.Swyx [00:26:16]: Yeah. I think there's some interpretation of world models that some people have where it's like, well, it's okay, yes, there is that gaming element. There's this — there's the embodied robotics element. But the other part also is just, the more abstract sense of LLLMs are just modeling output, but they're not modeling the chain of thought, inside the human that has created the output. We can annotate it, of course, but, like, it's, it's always, like, this Plato's cave reflection of a thing rather than the thing, right?Richard Socher [00:26:43]: It's true.Richard Socher [00:26:44]: But I would argue that, and maybe we'll get there in the 10, spaces of intelligence, but I would argue that even our projection, our eyes is a projection of the real world. And, like, we have only a very narrow, band of the electromagnetic frequency spectrum that we can observe with our puny little 2 eyes and so on.Swyx [00:27:01]: It's good enough.Richard Socher [00:27:02]: It's, it's good enough for now, but, like the upper bounds of where it could be are so much higher. And, like, to map, the visual world the way humans see it is also not necessarily, like the end-all be-all for visual intelligence. And I would argue that language is still the most interesting manifestation of human intelligence. And while our visual cortex is certainly less sophisticated, than that of, certain animals all the way down to the mantis shrimp who can, have, like, 2 independent eyes, 3 bands, trinocular vision and each eye can see all the way to, like, floating temperatures in 4D and stuff.Richard Socher [00:27:36]: Like, mantis shrimp, you should look it up. It's likeSwyx [00:27:37]: Way OP.Richard Socher [00:27:38]: Super crazy.Swyx [00:27:39]: Yeah. ZeFrank, mantis shrimp.Swyx [00:27:41]: It's the best video in the world onRichard Socher [00:27:42]: I love ZeFrank, yeah.Richard Socher [00:27:44]: Big shout-out to him. But, like, I think there's a lot more room to grow, but none of these, other animals have language that's as sophisticated as ours, certainly not in writing. And once you can write, you can, start thinking about longer term civilizations. All of that is language. Programming is much closer to language. And I would argue, and this is, like an important thing in the spaces definition of intelligence also, is that all of these spaces are highly correlated, but visual intelligence is neither necessary nor sufficient for overall intelligence. You can be blind and still be an intelligent human being. And an AI can be blind and still be quite intelligent too.Swyx [00:28:25]: We were gonna bring thisRichard Socher [00:28:25]: Which doesn't mean that you're not more intelligent when you have it. Yeah.Swyx [00:28:28]: We're gonna bring this up. I might as well — Like, we have a classification of 10 types of intelligence that you had at the end of your talk. So I'm just gonna flash this up now for people to cover this. I don't know if, maybe we'll put this towards the end. We'll come back to this. I just wanna mention that, you do have a philosophy that I like when people do lists because then I can just go through this and then it gets — it's educational for people. But let's go back. I don't wanna get distracted. But, so effectively, I'll, I'll, reinterpret what you said as Yann LeCun is wrong. And then we'll justRichard Socher [00:28:56]: Don't quote me as that. I'm, I'm good friends with Yann. I think very highly of him in many directions.Swyx [00:29:01]: But he's wrong.Swyx [00:29:03]: You mentioned GPT-1, and I cannot let any, Alec Radford, mention escape. Did you talk with him when he was training GPT-1? Like, any historical, fun stories there that you might come up?DecaNLP, GPT History, and Scientific GatekeepingRichard Socher [00:29:18]: I did not, like, meet him a bunch of times. I think we met maybe once or twice at some conferences. But, like, he has told, I think Brian, the first author of the DecaNLP paper, that it did inspire him, and he cited it five times in the GPT-2 paper. So, and that's, likeSwyx [00:29:36]: Yeah, good enough.Richard Socher [00:29:36]: Very clearly said, like, this was the first instantiation where they showed in the DecaNLP paper, McCann et al, that you can just phrase every single NLP problem as here's some prompt, text context, here's a question and task description and here is some output. If you just do that enough, you can have one unified neural network model, which, by the way, also had all kinds of interesting attention mechanisms. There are slightly different formulations to the transformer. I think came out the same year, plus/minus a few months. And then you can unify all of natural language processing into one neural net. That is the core idea.Swyx [00:30:14]: And this was as opposed to at the time, LSTMs and what have you.Richard Socher [00:30:17]: LSTMs, but also, like, people being very stuck in thinking about one model per task. In factRichard Socher [00:30:25]: It's, it's kinda crazy, but the DecaNLP paper was publicly reviewed as, like, open, OpenReview. It was an ICLR submission. And, in it, you will see, how the whole community at the time thought about this. So, likeSwyx [00:30:43]: Some great contributions, but more work needed.Richard Socher [00:30:46]: So look at, like, search for not even for humans. Just scroll it up here. Like, question answering is not a unified phenomenon. There is no such thing as general question answering, not even for humans. And this is like, really, you replace your brain with a different brain a different neural net when you answer, like, different kinds of questions. It was unfathomable to the experts at the time that you can have one unified neural network that would answer all of these different questions. They are saying, “No, all of these questions require very different systems to answer, and trying to pretend they are the same doesn't help anyone solve any problems.” That's what it says right there, right? That's how hard it was to fathom. And now, of course, people, when I say, “Oh, we're gonna invent prompts,” people are like, “You can't even invent prompts.” It's such an obvious idea to have one neural network that, of course, does everything in NLP.Richard Socher [00:31:37]: But at the time, it was, like, extremely controversial, and the paper got rejected. And the sad thing is that it got rejected so hard and they were so certain that we stopped going on our list of things to try. And the number 2 or 3 on the list of extensions for this paper was add language modeling as another task. And then we could have, and that would have accelerated the timelines, in 2018, like, even further for humanity. But we got so crushed, and we were like, “Okay, maybe we'll just work on some of our other ideas for now and, like, come back to this later.” Yeah.Swyx [00:32:09]: How can we design a review system that rewards non-consensus?Richard Socher [00:32:14]: Honestly, I started to feel like arXiv is such a gift to humanity. With arXiv, you should just put your paper out there.Swyx [00:32:24]: Is it pre-preprints?Richard Socher [00:32:25]: Let — And honestly, I think Twitter X, people like you who pick up interesting papers, that is a better filter than the experts. Let everyone, like, have access. Now, of course, there are some downsides, which is, like, if you're super unfamous, you have no Twitter followingRichard Socher [00:32:41]: You don't wanna be on social media or whatever, you write a good paper, maybe someone, somehow no one notices it. But I would argue that if you just tell, like, 10 of your friends in your community about a paper and it is a really significant breakthrough, someone is bound to talk about it again. And, so I think science needs less gatekeeping. And, even though ICLR, with Yann LeCun, who started it, as one of the co-founders of ICLR back in the day, he also wanted less gatekeeping ‘cause he too was rejected for many years together with Yoshua Bengio and Geoff Hinton with all their early deep learning and neural net papers ‘cause it was just not the hot thing. And so ICLR started with that, but then it also started gatekeeping a little bit themselves on various ideas. So I think less gatekeeping, more open, and then allowing people to say, “Look, even if this is just on, or, quote, unquote, ‘just an archive,' if it has like 1000 citations, it's a legitimate paper. Doesn't really matter where you published it.”Swyx [00:33:34]: And I agree with that. I do think it's sad that I've heard that grad students have to do, like, how to Twitter, seminars to each otherSwyx [00:33:43]: Just because it's so important for publishing these days. This person is just reflecting the sentiment at the time.Richard Socher [00:33:49]: That's right.Swyx [00:33:49]: But it'sRichard Socher [00:33:50]: I think it'sSwyx [00:33:50]: It affected you so muchSwyx [00:33:52]: That you stopped work on it.Vibhu [00:33:53]: The sentiment also came out of some of the research, right? Like, the original BERT paper was trained, and towards the end of the paper, they're like, “Okay, throw off the last head, train specific iterations forVibhu [00:34:05]: Extractive summarization add a head for this.” Like, you should do task-specific stuff. These are, like the authors that wrote Attention, wrote BERT, telling you this is what you're meant to do. And, like the training tasks were also very odd. They're likeVibhu [00:34:16]: The — “We know that the model overfits to this weird mass language modeling. Throw away this part and just do specific models,”?Richard Socher [00:34:23]: Exactly. And, like, we had to try — come up with all clever ways of, like attention and pointers and so on to get the neural network to be able to do all of these tasks. And then some of them were better than state-of-the-art, some weren't, but we were like, “But it's still in one model.” I thought it was really cool. Really interesting.Swyx [00:34:38]: I was gonna move on next to Tim and open-endedness. He was head of open-endedness at Google.Open-Endedness, Rainbow Teaming, and Self-Set GoalsRichard Socher [00:34:42]: That's right.Swyx [00:34:43]: I don't know what that means.Swyx [00:34:44]: But he did a lot of talks.Richard Socher [00:34:45]: Genie 3 is one of the ways thatRichard Socher [00:34:47]: Rainbow teaming, yeah.Swyx [00:34:49]: So I first saw him at — speaking of ICLR, I first saw him at ICLR when he talked about open-endedness. He's he's done a few talks. Can we define what is open-endedness for people who have never been exposed to the problem? They are like, “What do you mean? I thought the only goal of AI is to optimize against a benchmark or.”Richard Socher [00:35:04]: That's right, yeah. It's a, it's a fuzzy term because there's so many different instantiations of open-ended, thinking. But, one way I often describe it, and certainly, Tim and Geoff Hinton would be even better at describing this, but it's a suite of methods that is more inspired by evolution than, very specific rewards. So in that sense, it thinks more about environments, about co-adaptation. And so a concrete example is in the cybersecurity and LM safety space where you have one LM that tries to attack another LM to say something unsafe.Swyx [00:35:40]: Yeah, the rainbow, yeah.Richard Socher [00:35:40]: And now the environment is the 2 having a conversation and now they co-adapting, right? They're like one makes a better attack than the first one inoculates itself somehow, like uses that as training data, makes it so it's harder to say something unsafe based on that. And then as the attack stops working, the attacker now tries a different angle, right?Richard Socher [00:36:00]: And that's why it's not just red teaming, but they're called rainbow teaming.Swyx [00:36:02]: So, like, don't tell me how to do things. Let me just figure it out myself.Richard Socher [00:36:05]: That's right. Think about the environments that you wanna use. Think about the rewards at a high level that you wanna, inspire towards, and then let the AI try out many more ideas in this interplay between sometimes humans, but also sometimes other AI agents.Swyx [00:36:22]: Yeah. I worked open-endedness into a model that I have been working on. It was the keynote for AI Engineer where you start. You, we have the token loop, we have the agent turns, and then we have goal. And I feel like the way that you're describing open-endedness is still somewhat of a goal. Like, please attack this,Swyx [00:36:41]: Other agent. But, to meRichard Socher [00:36:42]: Yeah, you set the rewards. You set the environments.Swyx [00:36:44]: The loop that makes the other loops is. What if the agent can set its own goals?Swyx [00:36:49]: And is it, is that open-endedness? Like, you don't give it a goal. Just, like, be a sentient being. And maybe sentient is a very loaded wordSwyx [00:36:57]: But just set your own directions. What do you think you should do?Metacognition, Subjective Goals, and Measuring IntelligenceRichard Socher [00:37:01]: I love this direction. I think this is one of the 10 spaces of intelligence, that I clump under metacognition and thinking about thought.Richard Socher [00:37:08]: And it's an interesting one. Whenever people say, “Oh, AI is like, this is, it's gonna stop from here. It's not gonna get that much better,” and blah, I'm like there's so many different spaces of intelligence that we haven't even started exploring yet and hence have made very little progress on. And there is an interesting, connection to economics and, capitalism. Like, it doesn't make sense for a company to build and spend billions of dollars building a model that instead of following the rewards and objective functions you gave it, may come up with its own objective functions and its own goals.Richard Socher [00:37:46]: Right? And then imagine you're like, “Okay, I spent billions of dollars. Now go develop this new battery, material for me and answer all my emails.” And it's like, “Nah, I think it'd be more interesting to evaluate the molecular composition of the atmosphere, on Jupiter.”Richard Socher [00:37:59]: And you're like, “That's not what I paid you billions of dollars for.” And so no one's working on that for good reasons. And then also, understandablySwyx [00:38:07]: It's not useful.Richard Socher [00:38:07]: It's not, it's not useful, and it could get a little bit weird, right? What if the AI does start to really have thoughts on its own, and what if we don't like those thoughts, right? And so it requires a whole different way of thinking about it. I had a great conversation with a good friend of mine, Sam Gershman, who's a neuroscience professor at Harvard, and, like, we just jammed on this a little bit on, like, what are the best meta goals. And, I do think, like, knowledge-seeking is a really good one. I'm currently thinking also about, like the ultimate measure and unit of intelligence broadly construed, and I finally have some. It's still too early to share it. It's not. I haven't fully baked the thoughts yet.Swyx [00:38:44]: Like some replacement for IQ.Richard Socher [00:38:46]: IQ is such a terrible definition, right?Swyx [00:38:48]: Elo.Richard Socher [00:38:48]: It makes no sense. Yeah, Elos are terrible, too, because it's always just like me versus others.Richard Socher [00:38:53]: But, like, you can be intelligent and not constantly compare yourself to others? And so, yeah, there's no, like. In fact, a lot of these definitions we have, which I briefly mention in my book, too, these definitions create sometimes explicit and sometimes a more implicit anthropic bounds. No dis to the company Anthropic, but just, like, this idea that your intelligence is like getting 100 out of 100 questions right on this IQ test. Well, if that's your definition then you can only be at 100 out of 100. Where do you go from there, right? So you see a lot of these, benchmarks that people are working on they, increase, they get close to human, maybe sometimesSwyx [00:39:30]: It's like an S-curveRichard Socher [00:39:30]: Slightly above human, and then it's flat.Richard Socher [00:39:32]: It's like, ‘cause that's your. If your definition is only that so tied to humans, you're only gonna get to just slightly better than that. So I think metacognition is a great example of that, where we're not even yet allowing the AI to think. We're not working on it very much, and hence there's very little progress in that.Profit Maximization, Real-World Environments, and Reward DesignSwyx [00:39:49]: Yeah. Well, we've interviewed Andon, which I think, has been working on the most open-ended, benchmarks, which is just real-world, money.Swyx [00:39:57]: Arguably, telling an AI to profit maximize is a bad idea.Swyx [00:40:03]: But they are doing it.Richard Socher [00:40:05]: I do think you don't want that super. Like, you don't want a superintelligence to have a ton of access to all kinds of tools and so on and then just give it that without some very careful reward engineering. ‘Cause it's like, I just buy a bunch of defense stocks and I start a war. I make money. Like, it's just like, it's a tricky situation, right? You just buy a bunch of stuff, short basic goods for people, and you create some weird famine, like, issues. Like, yeah, there's a lot of constraints you should put onto a trading system.Vibhu [00:40:35]: It's a fun measure, though, ‘cause, the bounds are very capped to where we're nowhere close to them. Like, in Andon Labs, the model's like, “Oh, it's Saturday, maybe I just close the store today.” “Someone's off. It's okay. We'll just close the store.”Swyx [00:40:51]: It's using Claude.Vibhu [00:40:52]: Yeah. ButRichard Socher [00:40:53]: Yeah, no. I'm not, I'm not arguing against it. Just, like as you get more and more intelligence, you wanna be more and more careful with that as, like an open environment, ‘cause the environment then is all of Earth.Applying RSI to Science and InventionSwyx [00:41:02]: Yeah. Okay. For recursive, not strictly necessary, right? Because, like, if your goal is you make a machine that, like, invents the other things, then, like, just solve, the science thingsRichard Socher [00:41:12]: Knowledge discovery, yeah.Swyx [00:41:13]: Solve machine learning research and discovery and all these things. Good enough.Richard Socher [00:41:16]: And eventually, so, our goal, I haven't really. I don't talk about it that often because it is a few years out, but our goal is once you have a recursive self-improving superintelligence, you then want to apply it to the most important problems. And I think a lot of those are in science and technology and broadly construed inventions, and those inventions in, physics to create better, cheaper energy with fission or fusion, in chemistry and to create better materials and better batteries and, better solar cells and so on. In biology, there's so much, like, I think soon to be low hang- lower and lower hanging fruit because of AI, because of protein and generation, not just folding, but generating new proteins like we did in ProGen many years ago. Like, so much positive impact we had if you take that superintelligence and you apply it to science.Swyx [00:42:04]: I do fundamentally believe that. There's a lot of approaches, though. You're not the only team trying and NeoLab trying.Swyx [00:42:09]: There's, like a lot of. Especially the physical sciences as well.Richard Socher [00:42:12]: And that's good. Yeah. I do think that physi- like the reason we are only doing it in a few years is that it's a little too early right now. Robotics is not quite there yet. The AI is not quite there yet. But I'm fairly confident in 3 to 5 years, all those constraints will be gone, and then applying to real physical robotics experiments and so on, like true robotic process automationRichard Socher [00:42:33]: Not the traditional RPA sense, but, like, having robots run experiments for you will be totally there. Yeah, it's gonna be great.Swyx [00:42:40]: Just to call back to something that you said early on about slow takeoff, you said that, like, while really the substrate that is limiting factor is, let's call this chips, and semiconductors and all these things, and you have race funding for that and, you are investing a lot on that. But have you done the math on, like, is it even- Achievable and, like, what is the, industry concentration needed in order to achieve, like, scale?Compute, Slow Takeoff, and Changing the Bitter Lesson SlopeRichard Socher [00:43:05]: Right now we know that, like, roughly, like a 1000 GPUs cost quite a lot of money.Richard Socher [00:43:11]: Right? If you wanted, like, 10s of thousands of GPUs, you're, you're talking billions and billions of dollars. If you say, like, one GB300 is, like, you could eventually create models that are, on that substrate, like are close and similar to human intelligence. And you want, like, thousands and thousands of, AIs to think about really hard problems, in a similar fashion to humanity. Like, yeah, that-that's, that's a lot of money. You do the math. It's like a lot. We don't have that amount of money right now anywhere to, like, build that. Now, things can get more efficient. You will have, I think, soon better algorithms that won't be, and better hardware that won't be as energy-hungry, and so on. Our human brain does quite a lot of flops with much less energy.Swyx [00:43:56]: 20 watts?Richard Socher [00:43:57]: That's exactly right. Yeah, that's the number often that's quoted. And, like, I think more, inventions will happen there, that then will accelerate the takeoff even further.Swyx [00:44:08]: One thing I always try to reconcile when talking, like, with new lab founders is, like, you're fighting Bitter Lesson all the time. You have to show initial progress, then you unlock the next tier of funding, then the next tier, then the next tier.Richard Socher [00:44:20]: Which unlocks larger model categories.Swyx [00:44:22]: Like, fundamentally, is that true? Like, are you fighting Bitter Lesson? Are you — will we have a way in which, like, no, we're changing the slope in some fundamentally different way?Richard Socher [00:44:31]: I do think we are changing the slopes in fundamental ways by making AI much more efficient, both in terms of the training as well as the inference.Richard Socher [00:44:43]: Yeah. I think we will — When you allow AI to do the work that it takes other labs thousands of people and years to do, I think we'll be able to get it down to weeks, and that will be much cheaperRichard Socher [00:44:53]: And hence, more affordable, accessible to others and so on.Swyx [00:44:57]: Yeah. You've shared initial results on that,Swyx [00:44:59]: Which, like, conveniently OpenAI has also done to their GPT-5.6, so we can talk about it now.Richard Socher [00:45:04]: Yeah. Yeah, so these areSwyx [00:45:06]: Let's recap what you've done.Early Recursive Results: NanoChat, NanoGPT, and SOL-ExecBenchRichard Socher [00:45:07]: Maybe, just a quick recap here. We built, this, system that isn't the full, even the full RSI system in its glory, but it is a first baby version of this. And then, we don't wanna just have it internally and not show anything and, just show some people of what's possible. And so we applied this to these 3 different tasks. One is NanoChat, by my friend Andrej Karpathy, just, like, train a small language model to get, really low bits per byte. And, like, hundreds if not thousands of people, used both their agents and themselves to try, to get to that, and then they got to 0.937. We literally took our system and got to a much lower, bits per byte, much faster within, like, I think less than 2 days. So we took this thing, applied our system to it, and less than 2 days later, we have — we outperformed every human and their agents, in, have ever worked on this. Same with NanoGPT. And then we're like, well, let's, apply it to something that's even more relevant, to real people and to the Nvidia ecosystem and applied it, to, SOL-ExecBench. And maybe you can scroll down to some of the, images. They're, they're kinda fun to see. But yeah, like, one you see has made some real inventions that weren't just hyperparameter tuning. Like, inventing hash tables and so on is quite clever. We have even better results now.Swyx [00:46:34]: What do you mean inventing hash ta — You didn't invent hash tables.Richard Socher [00:46:36]: Of course we didn't invent, like, hash tables. In the grand scheme of, like a hash table, it's like a super basic primitive in computer science. But to use it, for language modeling in this scenario inside a transformer and so on and to combine these ideas and put them together, that has then eventually also been invented, but there was a knowledge cutoff, and we did check that it didn't have access to that externally. We talk about this a little bit. If you scroll to the next figures, this is also an interesting one in that when you start from a really basic, poor, like, vanilla transformer, then we still outperform all of the community together. But if you start from the human seed from an expert like Andrej, then you get even lower. So the human seeds from which you start do still matter. So that was an interesting insight, in my eyes, on this. And then as you go, like, how long does it take to get to these models, to get to similar performance? It's much faster. And then a similar thing happens with the speed runs here where, people have worked on this for quite some time, and the model still was able to train a model more quickly. Why do we care about it? Well, speed of training is part of the equation of the cost, and ultimately, you wanna have the most intelligence per dollar, right? And so speed and quality are big parts of that. And, the,Swyx [00:48:00]: Yeah, the way I put it is, for people who don't understand they look at the chart, they're like, “Cool. What does it mean?” if you have, like a billion-dollar cluster and you can shave off 10%, that's 100 million dollars.Richard Socher [00:48:12]: That's exactly right.Swyx [00:48:13]: How much is that worth?Richard Socher [00:48:14]: Exactly. So when you click, when you look at, like the kernels, these kernels, yeah, for the non-experts, like these kernels are like, used in all the models. Every time you use an Nvidia GPU, you interface with that GPU through these kernels. And so here you see, the leaderboard best, and when it's recursive, and it's there are only a handful of kernels, in this whole benchmark where we weren't the best. And so to me, this is, like, really exciting, ‘cause it makes. It just showcases what this can do. And again these weren't like. We didn't, like, spend months or years, like, developing. In fact, in particular for kernel, CUDA kernels, like, we don't even have really deep. CUDA kernel experts in the team. And our system, that's the beauty. The system just did all of these things. We didn't invent this. And when we open source and release, things in the future and models in the future, like, it won't. They won't be the best in their, category or class or whatever because we're so smart, but it's because, we built a smart AI that does it for us.Reward Engineering and Good Auto ResearchVibhu [00:49:14]: Do you have anything that you've learned from how to guide good auto research? A lot of it also builds on human background, right? It's not just as simple as just, “Hey, go optimize this.”Vibhu [00:49:23]: But we do see it again and again, right? Like some of the Erdos problems, frontier math is being solved by people. And when they do a write-up, they're like, “Oh, I'm not a mathematician. I have no background in this?” “I saw some tools and I made it work.”Swyx [00:49:35]: While you're watching the World Cup, you're likeSwyx [00:49:37]: “This proves some conjectures that's going on.”Vibhu [00:49:40]: Yep. Any learnings fromRichard Socher [00:49:41]: Yeah, there's a Korean conjecture was. Yeah, that's pretty cool.Swyx [00:49:44]: To summarize, tips for good auto researchSwyx [00:49:46]: Versus bad auto research.Vibhu [00:49:48]: How did you build the recursive?Richard Socher [00:49:49]: Yeah. So without giving away all the secret sauce, maybe some things that are probably obvious to the experts but might still be interesting to some, folks is, like, reward engineering is one of the most crucial bits, especially, in order to avoid reward hacking. So you have to be really clever about avoiding. ‘Cause as your AI gets better and better, it will get better and better, at finding weird like, special cases or counterexamples and things like that. And so I'll give you an example. Like, when you ask to, like, make these 100, lines of code faster, and, how do you define fast? Well, you have one line at the beginning that says, “Start your stopwatch,” and one line at the end, “End the stopwatch,” and then, tell us how much time, progressed. And so, well, the simplest way is you just put that line that ends the stopwatch, rightVibhu [00:50:39]: At the startRichard Socher [00:50:40]: At the start. And then boom, it's now faster, right? So this isn't like this, like, super evil AI. It's just, like a very simple, dumb reward hack. And so you have to just very carefully think about all the different angles there. And then I think the longer time horizon the tasks are the harder it gets and the more interesting and clever you have to be to still use these kinds of ideas for it. But yeah, I can't give away too much there.Vibhu [00:51:05]: It seems like rubrics are taking a good spot in that, where for unverifiable domains, you have rubrics, you have a model breakdown, judge's criteria along the way.Swyx [00:51:14]: Yeah, it's a form of verificationSwyx [00:51:16]: Once you got enough rubrics.Richard Socher [00:51:17]: Yeah, everything. I said this a long time ago. That's why I've never been that impressed that AI can play games, ‘cause I'm like anything you can simulate and/or verify, you can have infinite training data forRichard Socher [00:51:29]: And hence, like, AI will solve it eventually.Swyx [00:51:32]: Looking for games where you can do auto domain distribution. So this is a game that nobody's trained on ‘cause it's a new game.Swyx [00:51:38]: And you can start gaming, you can start to play. So I've been building this and cloned this in person and it's just been self-play. I've had about a billion positions evaluated.Games, Self-Play, and the AI EconomistSwyx [00:51:48]: And, I wanted to do the AlphaGo thing of self-play until you ge

Send us Fan MailFormer USAF F-16C pilot Karl Gruner shares how he transitioned from flying the Viper to becoming a Forward Air Controller (FAC) with the US Army. He explains what led him to this unique role, his experiences, and what it was really like operating alongside Army forces.Help to keep the channel going:         PATREON - https://www.patreon.com/aircrewinterviewDONATE - http://www.aircrewinterview.tv/donate/* Pick up some AI merch - https://www.teepublic.com/user/aircrew-interview  Follow us: https://www.aircrewinterview.tv/https://www.instagram.com/aircrew_interviewhttps://www.facebook.com/aircrewinterviewhttps://www.twitter.com/aircrewtvSupport the show

Learn the truth about Project Horizon, the covert operation involving Antarctica and Paperclip scientists.This report examines the historical claims surrounding Project Horizon, a covert initiative linked to Antarctica and the work of Paperclip scientists like Wernher von Braun. We analyze the reported demise of this operation and the persistent theories concerning what was actually occurring in the region. Viewers will gain a clearer understanding of the alleged exopolitical agendas that continue to surface in modern discourse.Beyond the historical record, we discuss the controversial narratives regarding the return of Fallen Angels. We also look at reports suggesting Iran is utilizing portals to summon negative NHI, potentially altering the global geopolitical landscape. Finally, the discussion touches on complex claims about human-sacrificing groups aiming to replace humans with clones, and the specific political figures often linked to these allegations. This breakdown separates the core claims from the noise surrounding these intense topics.Subscribe for weekly deep dives into fringe theories, and let me know in the comments if you want to see more on these specific claims.Topics: What's the real meaning of "We're going back to the Moon?" https://x.com/MichaelSalla/status/2097663997705113902Historical overview of the US Army's plan to build a Moon Base, Project Horizon, raises questions about whether it was covertly built by NASA. https://x.com/MichaelSalla/status/2097853992101462292Reinventing the wheel. Hiding what was built decades ago behind new contracts to build similar/upgraded infrastructure today. https://x.com/MichaelSalla/status/2097978851980665043 Exopolitical implications of Benjamin Netanyahu's speech atop Mt Hermon, where he described how control over the strategic mountain would help Israel's security needs: https://x.com/MichaelSalla/status/2098108096904097989 Wonderful example of advanced channeling & true wisdom about how enlightened extraterrestrials are mentoring humanity at this important juncture. https://x.com/MichaelSalla/status/2098251326534590730 Exopolitics Live Briefing: Transforming Into an Interplanetary Society https://www.crowdcast.io/c/exopoliticsbriefingsept2026 Join Dr. Salla on Patreon for Exclusive Content, Early Releases, Webinar Perks and More. Visit https://Patreon.com/MichaelSalla/

In this episode of Widowed AF, Rosie speaks with Reshma Kearney, a US-based mum of three, trauma-informed yoga teacher and grief advocate, whose husband Sean died by suicide in September 2022.Sean was an orthopaedic surgeon, a lieutenant colonel in the US Army, a dad, husband, outdoorsman and high achiever. He had also lived for years with periods of depression, anxiety, anger and increased alcohol use.But when he died, Reshma wasn't expecting it.There was no obvious final downward spiral. No neat collection of warning signs. Sean had recently left the military, started a new job and moved with his family to the Seattle area to begin the “forever” life they had spent years working towards. He had plans. He had a fishing trip booked.And then, on Friday 30 September 2022, he died by suicide.Reshma talks candidly about the shock of his death and the extraordinary moment she had to tell their three children, then aged 10, eight and seven, that their dad had died. With the help of a volunteer police chaplain, she made the decision to tell them the truth from the very beginning.She shares the simple but powerful way she explained depression to them, describing a mind in which illness had taken away the brightness and filled it with darkness, and why she believes honest, age-appropriate conversations about suicide can help children feel safer, rather than more frightened.Rosie and Reshma also talk about something much harder to say: what if a suicide simply wasn't preventable at the point at which it happened?Reshma explains why the language of Suicide Prevention Month can be painful for those left behind, particularly when it seems to place responsibility on families to recognise the right signs, say the right thing or somehow save the person they love.Because sometimes people do ask. Sometimes families do see someone struggling. Sometimes they desperately try to get them help. And sometimes the person still dies.They discuss the barriers that can prevent people, particularly men in high-stakes professions and military environments, from seeking mental-health support. Sean feared that therapy, medication or admitting he was struggling could appear on his record, affect his career or make him look weak.Reshma also speaks about the judgement that still surrounds suicide, the cruel comments she receives online, why she sometimes deliberately leaves them visible, and the uncomfortable reality that stigma is still very much alive.There's also an honest conversation about parenting after traumatic bereavement, watching three children grieve in three completely different ways, and the hypervigilance that can come with knowing that your children have already experienced something you desperately wish you could have protected them from.And ultimately, there is acceptance.As Reshma beautifully puts it: “Acceptance does not mean the same thing as preference.”She can accept that Sean died. She can accept that he died by suicide. That does not mean she wanted this life. Instead, she is choosing to honour the 17 years they shared, the three children they created and the man he was, while speaking openly about the reality of his death.A quick production note: due to a technical hiccup at our end, we sadly lost the video recording of this conversation. The audio survived, thankfully, and this was far too important a conversation not to share. So this week, Widowed AF is going slightly old school: podcast for your ears rather than your eyes.This is a conversation about suicide, but it is also about honesty, stigma, motherhood, mental health, grief and what happens when we stop looking for someone to blame.As Reshma says at the end of the episode:Hold grace. For yourself, and for other people. We never really know what somebody else is carrying.Content note: This episode contains detailed discussion of suicide, suicidal thoughts, mental illness and bereavement. Please listen with care and seek appropriate support if you need it.

John Feal is a native New Yorker and US Army veteran who worked as a demolition supervisor at Ground Zero until a disabling injury five days into the cleanup. He lobbied Congress to pass the James Zadroga 9/11 Health and Compensation Act of 2010, which he fought to defend and expand in 2015 and 2019 with the help of dozens of his fellow 9/11 responders, post-9/11 illness survivors, and comedian Jon Stewart. He has since gone on to pass 19 pieces of legislation and is working on number 20. John is a Pat Tilman Foundation honoree, a recipient of the New York State Liberty Award and the New York State Medal of Honor for Civilians, the founder and chairman of the 9/11 Responders Remembered Park, and a kidney donor.Connect with John and get the book: https://www.iwillfollowyouanywhere.com/Support the show

Before ground forces can advance, the battlefield has to be shaped. Air defenses have to come down. Enemy weapons have to be destroyed. And the adversaries' will to combat America has to be lessened. This is the job of field artillery; a branch of the US Army where speed, distance, precision, and results determine who controls the battlefield before ground forces ever make contact.From Fort Bragg, NC, the 18th Field Artillery Brigade leads the Army's rapidly deployable artillery units. As the largest HIMARS brigade, its soldiers must be prepared to deploy anywhere in the world within 10 days of notification and deliver long-range precision fires in support of the XVIII Airborne Corps, its divisions, and Special Operations Forces.Fran Racioppi sat down with the command team of Colonel Andy Hercik and Command Sergeant Major George Cabrera, to talk about what it takes to maintain readiness as the battlefield rapidly changes. After two decades of counterinsurgency, field artillery is now leading in large-scale combat operations where kilometers matter, ammunition and logistics can determine operational reach, and the ability to shoot, move, communicate, and survive has become unforgiving.Drones have made the battlefield increasingly transparent. A cell phone can expose a position. A lingering electromagnetic signature can make a HIMARS crew a target. The answer isn't abandoning the fundamentals. It's executing them better, while using lessons from today's conflicts to change how soldiers train and how the Army develops the capabilities required for tomorrow.We also discuss what true integration between conventional forces and Special Operations looks like, why the targeting process has to bring every capability together from the beginning, and the responsibility of NCOs and officers to build a formation that doesn't simply comply with standards, but understands why those standards keep soldiers alive and make them lethal.When the call comes, there won't be time to prepare. 18th Field Artillery Brigade has to be ready.Highlights00:00 Introduction01:12 Mission of the 18th Field Artillery Brigade04:16 NCO Leadership and Force Readiness05:38 Subordinate Units and Capabilities09:55 Refocusing on Core Field Artillery Basics13:49 Passing Down Lessons Learned14:40 Interoperability and Special Operations Forces Integration22:31 What Separates the 18th FA Brigade24:58 Joint Force Integration26:15 Modernization, Innovation, and Ammunition Investment30:15 Drone Warfare and Signature Management36:02 Culture of Commitment and the Warrior Mindset41:15 Driving Decision-Making and Warfighting ReadinessQuotes“We have to be ready to deploy, fight, and win within 10 days of notification.”“We are the Army's largest HIMARS brigade with 54 HIMARS launchers.”“We're going to first look to strip away adversary air defense and then kill what's killing us.”“It's much more effective to destroy a launcher than to try to intercept an incoming missile.”“Divisions are maneuvering in order to fire.”“We now have to be prepared to operate in a completely transparent battlefield.”“What we're trying to do is avoid being at this point on the Earth where the enemy missile hits when it hits.”“Shoot, move, communicate, clean up our electromagnetic spectrum.”“Making sure soldiers understand the visibility of their signature.”“Be more survivable, which then lets us be more lethal, because we're able to retain more combat power.”Follow the Jedburgh Podcast and the Green Beret Foundation on social media. Listen on your favorite podcast platform, read on our website, and watch the full video version on YouTube as we show why America must continue to lead from the front, no matter the challenge.The Jedburgh Podcast is brought to you by OneBrief; enabling military leaders to make innovative, informed and deliberate decisions faster than ever before. Superhuman command wins wars.

u/EdHistory101 talks to Robert E.C. Davis about his book on the US Army Heliograph Networks in the American South. (38 minutes) 

Was 9/11 an Inside Job? A Combat Veteran Examines the Evidence with Korey Rowe Was 9/11 an inside job? Combat veteran Korey Rowe examines the evidence, government warnings, intelligence failures, WTC 7, Loose Change, and the unanswered questions surrounding September 11. Rather than reducing the story to a simple conspiracy claim, this conversation examines what is documented, what remains disputed, and what we can learn from 9/11. 9/11 evidence, 9/11 investigation, WTC 7, Loose Change, Korey Rowe, 9/11 unanswered questions, government accountability, Iraq War In this episode of Eyes Wide Open with Nick Thompson, Nick sits down with Korey Row, a U.S. Army veteran who served in Afghanistan and Iraq and later became the creator and producer of the documentary Loose Change and author of The Soldier That Left: The Untold Story of Loose Change. The conversation explores 9/11, the Iraq War, government warnings, intelligence failures, unanswered questions, media narratives, accountability, and the long-term impact of war. Korey shares his personal journey from joining the Army before 9/11 to being deployed to Afghanistan, later serving in Iraq, questioning the intelligence behind the Iraq invasion, going AWOL, and eventually working with Dylan Avery on Loose Change. The conversation also examines: • What Korey experienced after 9/11 • Why his perspective changed during the Iraq War • Government warnings before 9/11 • Intelligence and accountability after 9/11 • Why the phrase "inside job" may be too simplistic • The unanswered questions surrounding 9/11 • Building 7 and the continuing debate surrounding the official explanation • The history and impact of Loose Change • How media narratives shape public opinion • Political polarization and confirmation bias • Free speech and censorship • What society can learn from 9/11 • Education, critical thinking and teaching the next generation • The lessons Korey believes we should carry forward Korey argues that the important question is not simply whether someone accepts a particular 9/11 theory, but whether people are willing to examine the available record, documented failures and unanswered questions. He also discusses the broader lesson he took from the experience: that ordinary people can influence major conversations when they have enough passion, persistence and conviction. This episode is a conversation about 9/11, war, government accountability, media, critical thinking and the importance of asking difficult questions. Watch the full conversation and decide for yourself. Our Guest  Korey Rowe is a US Army combat veteran of the 101st Airborne Division, serving tours in both Afghanistan and Iraq. He is an entrepreneur, author, and the filmmaker behind the historic documentary Loose Change. His new memoir, The Soldier That Left: The Untold Story of Loose Change, chronicles his military journey, the anti-war movement, and institutional deception.   Our Mission Eyes Wide Open is a space for honest communication. Our goal is to remove the stigmas around mental health, holistic lifestyles, culture, and free speech so you can show up as your authentic self with your eyes wide open. By having real conversations about difficult truths, we move toward collective healing. Chapters: 0:00 - Twenty-Five Years After 9/11: Reflections on Truth 3:06 - Saying Yes to Everything: The Rebuilding Journey 7:00 - Stepping Back and Empowering Others in Business 11:26 - Enlisting Pre-9/11 and Deploying to Afghanistan 16:22 - The Shift to Iraq and Questioning the War 21:58 - Stop-Loss, Moral Conviction, and Going AWOL 27:22 - Producing Loose Change While Traveling the Country 32:23 - Political Polarization, Distraction, and Media Narratives 38:00 - Educational Reform and Teaching Future Generations 47:06 - Examining the Documented Record: WTC 7 and Loose Change 54:21 - Systemic Ineptitude, Public Trust, and Corporate Governance 1:07:35 - Seeing Each Other as Human Beings First   Find Korey Rowe here:   Website: www.KoreyRowe.com The Soldier That Left Book: https://www.amazon.com/dp/B0H2K8B8QL?lv=shuf&channelId=500&plpRedirect=mhFallback  Watch the documentary: www.LooseChange911.com   YouTube: https://www.youtube.com/@KoreyRowe        Additional Links:  www.OtsegoMedia.com  www.DoshaFarms.com  www.FilmOtsego.org    Find Nick Thompson here:   Instagram: https://www.instagram.com/nthompson513/ |  https://www.instagram.com/the_ucan_foundation/  YouTube: https://www.youtube.com/@EyesWideOpenContent  LinkedIn: https://www.linkedin.com/in/nickthompson13/    UCAN Foundation: https://theucanfoundation.org/  Website: https://www.engagewithnick.com/   

May 1945. The Reich is in ruins. Hitler is dead. Yet for the US Army's Counter Intelligence Corps, the real war has just begun.  They Shall Not See the Dawn: The Manhunt for the Third Reich's Most Wanted (Diversion Books, 2026) by Charles Lachman is the true historical thriller following a secret unit of American agents, drawn from every walk of life, hunting Hitler's inner circle—the dangerous henchmen still at large and feared to be carrying their Führer's final political testament, orders for a guerilla resistance, and plans for rocket and nuclear programs hidden in mountain strongholds. It was a race against time to capture World War II's most notorious Nazis before they could vanish or rally a new resistance.  The CIC men leading the greatest manhunt in history were scholars, motivated college students, an actor, linguists, young draftees and refugees—men like Henry Kissinger—armed not just with guns, but with intellect, intuition, and sheer daring. Their quarry included Ernst Kaltenbrunner, the monstrous Gestapo chief; Julius Streicher, Hitler's notorious “Jew-baiter”; Robert Ley, master of slave labor; and other high-ranking war criminals desperate to escape justice. Against all odds, the CIC brought them down, ensuring their places in the dock at Nuremberg.   This interview was conducted by Dr. Miranda Melcher whose book focuses on post-conflict military integration, understanding treaty negotiation and implementation in civil war contexts, with qualitative analysis of the Angolan and Mozambican civil wars. You can find Miranda's interviews on New Books with Miranda Melcher, wherever you get your podcasts. Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

May 1945. The Reich is in ruins. Hitler is dead. Yet for the US Army's Counter Intelligence Corps, the real war has just begun.  They Shall Not See the Dawn: The Manhunt for the Third Reich's Most Wanted (Diversion Books, 2026) by Charles Lachman is the true historical thriller following a secret unit of American agents, drawn from every walk of life, hunting Hitler's inner circle—the dangerous henchmen still at large and feared to be carrying their Führer's final political testament, orders for a guerilla resistance, and plans for rocket and nuclear programs hidden in mountain strongholds. It was a race against time to capture World War II's most notorious Nazis before they could vanish or rally a new resistance.  The CIC men leading the greatest manhunt in history were scholars, motivated college students, an actor, linguists, young draftees and refugees—men like Henry Kissinger—armed not just with guns, but with intellect, intuition, and sheer daring. Their quarry included Ernst Kaltenbrunner, the monstrous Gestapo chief; Julius Streicher, Hitler's notorious “Jew-baiter”; Robert Ley, master of slave labor; and other high-ranking war criminals desperate to escape justice. Against all odds, the CIC brought them down, ensuring their places in the dock at Nuremberg.   This interview was conducted by Dr. Miranda Melcher whose book focuses on post-conflict military integration, understanding treaty negotiation and implementation in civil war contexts, with qualitative analysis of the Angolan and Mozambican civil wars. You can find Miranda's interviews on New Books with Miranda Melcher, wherever you get your podcasts. Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/history

May 1945. The Reich is in ruins. Hitler is dead. Yet for the US Army's Counter Intelligence Corps, the real war has just begun. They Shall Not See the Dawn: The Manhunt for the Third Reich's Most Wanted (Diversion Books, 2026) by Charles Lachman is the true historical thriller following a secret unit of American agents, drawn from every walk of life, hunting Hitler's inner circle—the dangerous henchmen still at large and feared to be carrying their Führer's final political testament, orders for a guerilla resistance, and plans for rocket and nuclear programs hidden in mountain strongholds. It was a race against time to capture World War II's most notorious Nazis before they could vanish or rally a new resistance. The CIC men leading the greatest manhunt in history were scholars, motivated college students, an actor, linguists, young draftees and refugees—men like Henry Kissinger—armed not just with guns, but with intellect, intuition, and sheer daring. Their quarry included Ernst Kaltenbrunner, the monstrous Gestapo chief; Julius Streicher, Hitler's notorious “Jew-baiter”; Robert Ley, master of slave labor; and other high-ranking war criminals desperate to escape justice. Against all odds, the CIC brought them down, ensuring their places in the dock at Nuremberg. This interview was conducted by Dr. Miranda Melcher whose book focuses on post-conflict military integration, understanding treaty negotiation and implementation in civil war contexts, with qualitative analysis of the Angolan and Mozambican civil wars. You can find Miranda's interviews on New Books with Miranda Melcher, wherever you get your podcasts.Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/military-history Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Send us Fan MailPeter Newell is a retired US Army colonel of 32 years and a nationally recognized innovation expert whose work is changing how the government and companies compete and drive growth.The Climb with Cherie ClonanThe Climb is a podcast for people building something meaningful and finding their..Listen on: Apple Podcasts   SpotifySupport the showSupport the showSupport the show

May 1945. The Reich is in ruins. Hitler is dead. Yet for the US Army's Counter Intelligence Corps, the real war has just begun. They Shall Not See the Dawn: The Manhunt for the Third Reich's Most Wanted (Diversion Books, 2026) by Charles Lachman is the true historical thriller following a secret unit of American agents, drawn from every walk of life, hunting Hitler's inner circle—the dangerous henchmen still at large and feared to be carrying their Führer's final political testament, orders for a guerilla resistance, and plans for rocket and nuclear programs hidden in mountain strongholds. It was a race against time to capture World War II's most notorious Nazis before they could vanish or rally a new resistance. The CIC men leading the greatest manhunt in history were scholars, motivated college students, an actor, linguists, young draftees and refugees—men like Henry Kissinger—armed not just with guns, but with intellect, intuition, and sheer daring. Their quarry included Ernst Kaltenbrunner, the monstrous Gestapo chief; Julius Streicher, Hitler's notorious “Jew-baiter”; Robert Ley, master of slave labor; and other high-ranking war criminals desperate to escape justice. Against all odds, the CIC brought them down, ensuring their places in the dock at Nuremberg. This interview was conducted by Dr. Miranda Melcher whose book focuses on post-conflict military integration, understanding treaty negotiation and implementation in civil war contexts, with qualitative analysis of the Angolan and Mozambican civil wars. You can find Miranda's interviews on New Books with Miranda Melcher, wherever you get your podcasts.Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/german-studies Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

On YOUTUBE.com/StandUpWithPete ON SubstackStandUpWithPete Stand Up is a daily podcast. I book,host,edit, post and promote new episodes with brilliant guests every day. This show is Ad free and fully supported by listeners like you! Please subscribe now for as little as 5$ and gain access to a community of over 750 awesome, curious, kind, funny, brilliant, generous souls Comedian Jay Black left his job as a high school English teacher ten years ago to embark on a career as a stand-up comic. In that time, he's achieved an incredible amount of success.  On the stage, Jay has headlined clubs across the nation, from the MGM Grand in Las Vegas to the Tropicana in Atlantic City and just about every comedy club in between. He also toured extensively in Europe as the host of the US Army's "I Am Strong" tour. He's met with equal success on the college market, performing at nearly 1,000 schools across the country, winning the "College Performer of the Year" award once and the "College Comedian of the Year" award three times. For the last ten years, Jay has done a weekly spot on WIP Radio, discussing television, pop culture, and sports. In 2009, Jay started writing screenplays with his lifelong friend, Brian Herzlinger, producing a string of successful projects from 2012's "Paulie" with Paul Sorvino, 2014's "Meet My Valentine" with Scott Wolf, 2016's "Love Always Santa" with Margueritte Morea, and the upcoming "Orchard" with Tiffani Thiessan.  Jay's latest screenplay, "Perfect Pose" will go into production in December of 2019, for a 2020 television release. Jay also began acting in his projects, with significant supporting roles in both "Meet My Valentine" and "Love Always, Santa".   On YOUTUBE.com/StandUpWithPete ON SubstackStandUpWithPete Listen rate and review on Apple Podcasts Listen rate and review on Spotify Pete On Instagram Pete on Blue Sky Pete on Threads Pete on Tik Tok Pete on Twitter Pete Personal FB page Stand Up with Pete FB page

In today's episode, we examine the disturbing world of "Bacha Bazi", or, the dancing boys of Afghanistan, the spring of crimes surrounding them, and the fact that the U.S. Army ignored what they knew was happening all along.-SUBSCRIBE TO "THE CONSPIRACY FILES" on YouTube!: https://www.youtube.com/@UCsYWvjBZc6nhVspRKh9BppQ-LISTEN TO "THE CONSPIRACY FILES" WHEREVER YOU GET YOUR PODCASTS!:-Spotify - https://open.spotify.com/show/5IY9nWD2MYDzlSYP48nRPl-Apple Podcasts - https://podcasts.apple.com/us/podcast/the-conspiracy-files/id1752719844-Amazon/Audible - https://music.amazon.com/podcasts/ab1ade99-740c-46ae-8028-b2cf41eabf58/the-conspiracy-files-Pandora - https://www.pandora.com/podcast/the-conspiracy-files/PC:1001089101-iHeart - https://iheart.com/podcast/186907423/-PocketCast - https://pca.st/dpdyrcca-CastBox - https://castbox.fm/channel/id6193084?country=us-"THE CONSPIRACY FILES" is the most DANGEROUS show on the internet. Join host COLIN BROWEN (of "The Paranormal Files" and "Murder In America") as he dives deep into some of the world's most dangerous and disturbing conspiracy theories. From Epstein Island to the North Fox ring and the murder of Marilyn Monroe, NO STORY is off limits and NO DETAILS or INFORMATION will be left out. If you like conspiracies, mysteries and true crime, then THIS SHOW is for you. Get ready to have your mind blown.-SUBSCRIBE to "The Paranormal Files" (my ghost hunting channel!): https://www.youtube.com/theparanormalfilesofficialchannel?sub_confirmation=1-LISTEN TO MURDER IN AMERICA (my podcast)!SPOTIFY: https://open.spotify.com/episode/204fV6xstY3a5atxoHOhz8?si=H1einpJoR42jnfmEjqk5qwAPPLE PODCASTS: https://podcasts.apple.com/us/podcast/murder-in-america/id1547409175SOUNDCLOUD: https://soundcloud.app.goo.gl/tkz56KWDmYAyVNAZA-Connect with me on social media!

If you want to win government contracts with no experience, a former government-side contracting officer's rep explains why the door you think is closed is only regulated, and how a small business gets through it. Remi Bankole spent years inside federal contracting as a COR and contracting specialist, a US Army reservist since 2001, pushing out solicitations and vetting the vendors who won. He breaks down how to position yourself, why aligning with a contract vehicle is gold when agencies need someone fast, and the prime partnership hack where you run the work a prime can't touch and split the profit. It is systematic, not daunting, and being small can be the edge that gets you selected.  CHAPTERS 00:00 The door is only regulated 02:15 Both sides: government and business 03:39 Inside the COR and contracting specialist roles 06:26 What market research really means to a buyer 08:26 IGE, SOW, and PWS made simple 10:36 The real mistakes small businesses make 13:22 What has changed: more scrutiny above $20M 16:19 Why contract vehicles are gold right now 17:48 The prime crumbs partnership hack 22:55 Three tiers: from no experience to scaling Market Intelligence gives you the federal opportunities, agency signals, recompete intel, and pursuit briefs that tell you not just what contracts exist, but which ones to chase and how to win them. Sign up for free Daily Alerts and get opportunities delivered to your inbox before the day starts.

Gen. Chance Saltzman is expanding covert space assets. Learn how this shift impacts the secret space program and UFO disclosure.Gen. Chance Saltzman has taken the helm of Space Force, initiating a significant expansion of covert space assets. This update examines the strategic implications of these developments, including reports of a thwarted offensive involving secret space program forces and their extraterrestrial allies. We analyze how these operations align with ongoing efforts to secure dominance near the Moon.The discussion also examines the proposed Space Academy, which may serve as a critical bridge for future covert operations. We address claims regarding the status of lunar control and how specific technologies linked to the MH370 incident continue to influence the broader narrative of UFO disclosure. Understanding these connections is essential for tracking the evolution of classified aerospace initiatives.Topics: Secret Space Programs & Timeline Jumping: Memories from Another Reality https://exopolitics.org/secret-space-programs-timeline-jumping-memories-from-another-reality/Cardiac surgery involving a mitral valve repair to the heart was successfully completed. https://x.com/MichaelSalla/status/2094386049598226474 Will the proposed Space Academy play a bridging role between the old covert that was under Deep State control, and the new one working with the White Hats and positive ET groups? https://www.nasa.gov/news-release/president-trump-signs-executive-order-to-create-us-space-academy/ The UFO History They Forgot: Paola Harris on Human ETs, Corso & Contact: https://x.com/MichaelSalla/status/2095508808806125727 The third Chief of the US Space Force, Gen Douglas Schiess, takes over from his predecessor, Gen Chance Saltzman. https://x.com/MichaelSalla/status/2095671875238047931 Exopolitics Briefing Document – Understanding the 7 layers of the UFO Phenomenon https://exopolitics.org/exopolitics-briefing-document-understanding-the-7-layers-of-the-ufo-phenomenon-2/Donald Trump speaks about a "massive American Starfleet" using nuclear-powered spacecraft with the first nuclear craft to Mars by 2028. https://x.com/MichaelSalla/status/2096372447167512595JP reveals more details about four time tunnel projects he witnessed in June 23, 2023, while serving with the US Army's 7th Special Forces Group out of Eglin AFB. https://x.com/MichaelSalla/status/2096424039577239872George Kavassilas has released an important audio update concerning what recently took place at Green Mountain, Alabama, following the attacks by the Dark Fleet https://x.com/MichaelSalla/status/2096774347230699817Donald Trump's recent Truth Social posts about Space Force and the Moon indicate high expectations for what the newest military service is about to achieve. https://x.com/MichaelSalla/status/2096785499276947771 Small portable nuclear reactors are going to be mass-produced as part of the overall effort to find alternatives to fossil fuel generators to power AI data centers, etc. https://x.com/MichaelSalla/status/2096908459832738007 MH370, Anti-Gravity & the Secret Technology Hidden Behind UFO Disclosure – Ashton Forbes interview https://x.com/MichaelSalla/status/2096913170820440539 Secret Space War Near the Moon? JP Reveals What Happened After Leaving Eglin AFB – Update 65 https://exopolitics.org/space-fleet-defends-earth-from-unknown-enemy-jp-update-65/ Join Dr. Salla on Patreon for Early Releases, Webinar Perks and More. Visit https://Patreon.com/MichaelSalla/

Jonathan Berryhill is a former US Army infantry sergeant and law enforcement officer turned real estate entrepreneur, broker, and multifamily investor. He has built multiple seven and eight figure businesses, three real estate brokerages, and a team of over 50 agents. Today he specializes in multifamily investing, real estate growth, leadership, wealth building, discipline, and entrepreneurship. Jonathan grew up dirt poor in a broken home, served in the Army, worked narcotics in law enforcement, and walked on to play linebacker at the University of North Alabama at 25. He moved into medical sales, became a chief operations officer, then launched and sold his own medical device company. He and his wife now live on their farm in North Alabama with six children and four grandsons, and he leads America's Outdoor Realty and Elite Properties of the South across Alabama and Tennessee. His first book, Warrior to Wealth, is releasing this fall. In this episode, Jonathan Berryhill breaks down how he rebuilt his marriage, his identity, and his finances after filing for divorce at 25 with no money and no plan. He explains why alignment at home comes before growth in business, how he wrote down the man he wanted to become and started acting like him, and what separates people who commit from people who try. Jonathan also shares the failure that redirected his real estate career and previews his upcoming book, Warrior to Wealth.     Make sure to download our free guide, 7 Questions Every Passive Investor Should Ask, here.     Key Takeaways Define your why clearly enough that it survives setbacks Fix your home life before trying to scale a business Act like the person you want to become, starting now Pay for mentorship through books, podcasts, and lunches Surround yourself with people operating a level above you Know what you are bad at and move toward what you do well     Topics From a Mobile Home Floor to a Vision Jonathan grew up dirt poor with plywood covering holes in the floor of his father's mobile home He could visualize a businessman version of himself and refused to repeat what he grew up in The Turning Point at 25 His marriage was in shambles and he and his wife had filed for divorce He called her in Hawaii and promised a life she could only dream of, with no idea how He left law enforcement and walked on to play linebacker at the University of North Alabama Building the Entrepreneurial Track Record Jonathan moved into medical sales and became a chief operations officer He launched his own medical device company and sold it a few years later He and his wife started buying land 14 years ago, which led him into land sales Pick Your Hard Fear of returning to poverty drove him for the first decade of his career He let it go after realizing that being poor is hard and building wealth is hard, so you choose which Alignment Comes First Jonathan frames every area of life as either in line or out of line, starting with home His wife has been his biggest supporter since they reconciled Comfort kills progress in relationships, business, and fitness Motivation vs. Discipline He runs a self-audit: do my daily actions match the goal I say I want Discipline means doing the work on the days you do not feel like it Mentorship and Finding Your Tribe Most people will not spend on a book, a podcast, or a lunch that could change their trajectory Jonathan still seeks mentors at 49 and joins a weekly entrepreneur networking call Weak relationship building is what stalls most people at the next level Forge the Identity, Then Do the Work He wrote down who he wanted to become and started doing what that man would do His advice to an aspiring CEO: study who that CEO knows and what he does daily, then copy it You become the athlete before the recruitment, not after Warrior to Wealth The book is built on three statements: find your mission, forge your identity, build your legacy Jonathan writes openly about his biggest failure, being unfaithful in his marriage He aims to give readers belief that his path is repeatable It Happens Because of You Trying something for 30 to 90 days is not a commitment Jonathan rejects "I have done all I could do" as an escape route Success, a strong marriage, and results all happen because of you Serving Veterans on the Farm Jonathan hosts fishing, hunting, and rodeo events for veterans on his family farm Ruck and Rawhide, supported by the Alabama Department of Veterans Affairs, raises awareness for veteran suicide      

Welcome back to Truth, Lies & Work, the award-winning workplace podcast where behavioural science meets workplace culture. This week on This Week in Work, we explore AI for mental health, annual leave trends, and progressive workplace policies, plus dive into sleep research and take on your workplace surgery questions.

This week on Hashtag History, we will be discussing Dr. Cornelius P. Rhoads, an American pathologist who was once highlighted on the cover of Time Magazine as THE “Cancer Fighter." He served as director of the Memorial Hospital for Cancer Research, the first director of the Memorial Sloan-Kettering Cancer Center, and did groundbreaking research for the Rockefeller Institute of Medical Research.But that's not why we're talking about ol' Corny today. No, we are talking about him because, in 1932, he was exposed by a letter he had written the year prior while working in clinical research in Puerto Rico. In this letter, he wrote that he considered Puerto Ricans to be “beyond doubt the laziest, most degenerate, and thievish race of men ever inhabiting this sphere.” But, oh, wait. It gets so much worse. He continues in this letter to say, “What the island needs is not public health work but a tidal wave or something to totally exterminate the population. It might then be livable. I have done my best to further the process of extermination by killing off eight and transplanting cancer into several more.” But wait…there's more…that we will get to later in the episode.Despite this horrendously racist and alarming language/admission, Rhoads of course went on to receive several awards, such as the Legion of Merit, several honorary doctorates, and a Memorial Award in his honor through the American Association for Cancer Research (though this one was renamed in 2002 after his awful 1931 letter recirculated). We should also mention that his research was instrumental in helping the US Army develop chemical weapons during World War II.Follow Hashtag History on Instagram @hashtaghistory_podcast for all of the pictures mentioned in this episode.Citations for all sources can be located on our website at www.HashtagHistory-Pod.com. You can also check out our website for super cute merch!You can now sponsor a cocktail and get a shout-out on air! Just head to www.buymeacoffee.com/hashtaghistory or head to the Support tab on our website!You can locate us on www.Patreon.com/hashtaghistory where you can donate $1 a month to our Books and Booze Supply. All of your support goes a long ways and we are endlessly grateful! To show our gratitude, all Patreon Supporters receive an automatic 15% OFF all merchandise in our merchandise store, a shoutout on social media, and stickers!THANKS FOR LISTENING!- Rachel and LeahEditor: Alex PerezCopyright: The Hashtag History Podcast

US Army veteran and filmmaker Korey Rowe discusses his experiences as a soldier in Afghanistan and Iraq and his subsequent role in producing the internet blockbuster 9/11 documentary “Loose Change.” Rowe recounts how his firsthand observations of the war contradicted official government narratives, leading him to collaborate with Dylan Avery to challenge the mainstream account of the 2001 attacks. The conversation examines the duo’s tumultuous journey through Hollywood negotiations, their interactions with figures like Charlie Sheen and Alex Jones, and the internal sabotage that plagued the truth movement. Beyond media production, Rowe reflects on his personal struggles with PTSD and addiction, explaining how he eventually found stability and success. However, he believes America is taking a dark turn. Watch on BitChute / Brighteon / Rumble / Substack / YouTube *Support Geopolitics & Empire! Become a Member https://geopoliticsandempire.substack.com Donate https://geopoliticsandempire.com/donations Consult https://geopoliticsandempire.com/consultation **Listen Ad-Free for $4.99 a Month or $49.99 a Year! Apple Subscriptions https://podcasts.apple.com/us/podcast/geopolitics-empire/id1003465597 Supercast https://geopoliticsandempire.supercast.com ***Visit Our Affiliates & Sponsors! Above Phone https://abovephone.com/?above=geopolitics American Gold Exchange https://www.amergold.com/geopolitics Escape The Technocracy (15% off w/ GEOPOLITICS!) https://escapethetechnocracy.com/geopolitics Expat Money Online Summit 2026 https://expatmoney.com/geopolitics PassVult https://passvult.com Sociatates Civis https://societates-civis.com StartMail https://www.startmail.com/partner/?ref=ngu4nzr Wise Wolf Gold https://www.wolfpack.gold/?ref=geopolitics Websites Korey Rowe https://www.koreyrowe.com The Soldier That Left: The Untold Story of Loose Change https://www.amazon.com/Soldier-That-Left-Untold-Change/dp/B0H2K8B8QL Otsego Media https://www.otsegomedia.com About Korey Rowe Korey Rowe is a husband, father, filmmaker, entrepreneur, and US Army veteran, rooted in Oneonta, New York. He is the founder of Otsego Media, a production company dedicated to telling stories that highlight people, places, and businesses across upstate New York, and the owner of DOSHA-the city’s first licensed cannabis dispensary. Beyond his businesses, Rowe is a community builder-committed to revitalization and growth in his hometown. His ventures have generated local jobs, tax revenue, and creative opportunities while showcasing the talent and spirit of central New York. With a vision that blends entrepreneurship, storytelling, and civic responsibility, Rowe continues to invest in projects that strengthen his community, celebrate its culture, and inspire the next generation of creators and innovators. *Podcast intro music used with permission is from the song “The Queens Jig” by the fantastic “Musicke & Mirth” from their album “Music for Two Lyra Viols”: http://musicke-mirth.de/en/recordings.html (available on iTunes or Amazon)

On this episode we start with a Hamas Cryptocurrency scandal and weapons stolen from a military installation in India. We then talk about the widow of an Air Force officer that claims she's been denied the death benifits because the war in Iran is not as "actual" war. Next we talk about the Secretary of the Army resigning, the Secretary of war blocking promotions of Generals, the CIA director making a spontanious trip to Moscow, the USS Lincoln making its way to Thailand... where debauchery is sure to ensue, and the US Army has awrded it's first contract for a lazer direct energy weapon. A whistleblower says the new mail-in ballot system will lead to issues with the midterms, and we hear about how the situation in Iran is progressing. The US just secured a 100 year exclusive contract to all 65 billion barrels of Venezuelan oil, and a Wiscosin Judge has now set the legal precedent that AI explicit images of  children are "not real" and are protected by the 1st amendment!To join in on the conversation every Wednesday night at 9pm cst come to patreon.com/CajunKnightBecome a supporter of this podcast: https://www.spreaker.com/podcast/cult-of-conspiracy--5700337/support.