Podcasts about Human

Today we're going to explore how fasting interacts with women's hormones and why the best approach often changes throughout different stages of life.One of the biggest mistakes in the nutrition world is assuming that if something works for one person, it should work for everyone.Human biology doesn't work that way.Women have a much more dynamic hormonal environment than men. iNSULIN RESISTANCE AND FASTING 7-26

Human settlement goes back thousands of years in the region of the Baltics that would become Lithuania. Like so many Baltic states, it went from being a significant regional power to one that was subjugated by the Soviet Union for decades. This is a proud land that has its own legends and haunted locations. Join us for the history and hauntings of Lithuania. This Month in History features Boris Yeltsin elected. Check out the website: http://historygoesbump.com Show notes can be found here: https://historygoesbump.blogspot.com/2026/07/hgb-ep-647-haunted-lithuania.html Become an Executive Producer: http://patreon.com/historygoesbump Music used in this episode: Main Theme: Creepy Carnival Theme  Created and produced by History Goes Bump Licensed under Creative Commons: By Attribution 4.0 creativecommons.org/licenses/by/4.0/ (This Month in History) "In Your Arms" Kevin MacLeod (incompetech.com) Licensed under Creative Commons: By Attribution 4.0 License http://creativecommons.org/licenses/by/4.0/  Pod wiejskim słońcem by Sasha Ende at ende.app Licensed under Creative Commons: By Attribution 4.0 License http://creativecommons.org/licenses/by/4.0/

In this episode of Capital Hacking, we interview Charles Rossano, founder of Cohaven, about his journey from scaling technology companies to building an innovative real estate investment platform focused on shared living (co-living).Charles shares how mentorship led him into real estate, why he believes affordable shared housing is one of today's biggest investment opportunities, and how his company combines real estate investing, property management, capital raising, and AI automation into a scalable business model.The conversation also explores raising capital, building operator communities, using GoHighLevel with AI, and the growing demand for affordable housing solutions for adults aged 55+.Chapters:01:57From Tech Entrepreneur to Real Estate Investor03:58Finding a Mentor & Building a Real Estate Career06:21Learning Capital Raising & Launching Cohaven11:04Understanding the Shared Living (Co-Living) Investment Model13:38How Shared Living Generates Higher Returns for Investors16:26Building Operations, Teams & Scaling the Business17:25Using AI & GoHighLevel to Automate Real Estate Operations21:36Why 55+ Independent Living is the Next Big OpportunityConnect with Charles:https://www.cohavencapital.com/   https://www.linkedin.com/company/cohaven-capital/ https://www.linkedin.com/in/charlesrossano/Learn More About Accountable Equity:  Visit Us: http://www.accountableequity.com/   Access eBook: https://accountableequity.com/case-study/#registerTurn your unique talent into capital and achieve the life you were destined to live. Join our community!We believe that Capital is more than just Cash. In fact, Human Capital always comes first before the accumulation of Financial Capital. We explore the best, most efficient, high-integrity ways of raising capital (Human & Financial). We want our listeners to use their personal human capital to empower the growth of their financial capital. Together we are stronger.LinkedinFacebookInstagramApple PodcastSpotify

Technology can move fast, but trust still moves people. Nikki sits down with Raina Fryer, Head of Talent Strategy, and Jeff Boucher, Senior Director at Titus Talent Strategies, to explore why relationships still win in the age of AI. Together, they unpack how leaders can use technology to create more capacity without losing the human connection that builds culture, trust, and belonging. From strategic HR influence to relational business development, Raina and Jeff challenge leaders to stop treating people problems like automation problems. This conversation is a reminder that AI can summarize, organize, and accelerate, but it cannot build trust, spot human potential, or make someone feel truly seen. Additional Resources: Connect with Raina on LinkedIn Connect with Jeff on LinkedIn Learn more about Titus Talent Strategies Learn more about Titus Strategic Network Listen to the podcast: Talent Talks Explore Live Events with Titus Watch Gut + Science (and more) on YouTube! Connect with Nikki on LinkedIn Follow PeopleForward Network on LinkedIn Learn more about PeopleForward Network Nikki's Key Takeaways: Technology reveals culture, it does not build it. AI should enhance relationships, not replace them. Human connection is a competitive business advantage. HR must shape strategy, not just support it. Soft skills are now critical leadership skills.

What happens when AI moves beyond writing emails and summarizing meetings and starts influencing who gets hired, promoted, and paid? In this episode of Tech Talks Daily, I speak with David Lloyd, Chief AI Officer at Dayforce, about why HR is becoming one of the highest-stakes environments for artificial intelligence and how companies can introduce AI while protecting employee data, maintaining human accountability, and preparing for growing regulatory scrutiny. HR systems contain some of the most sensitive information companies hold, from salaries and performance records to benefits and personal data. At the same time, AI is increasingly being introduced across recruitment, workforce management, compensation, performance, and employee experience. David explains why this combination creates enormous opportunities but also places greater responsibility on employers to understand how AI systems operate and how decisions are made. A major theme throughout our conversation is the role of AI governance. David challenges the assumption that governance slows innovation, arguing that the right processes can help companies evaluate AI ideas quickly while reducing the risk of introducing systems that lack appropriate data, transparency, or regulatory safeguards. Dayforce recently achieved ISO/IEC 42001 certification for AI management systems and NIST AI Risk Management Framework attestation. David explains what independent validation means in practice and why companies evaluating AI vendors should ask for evidence of how systems are governed, tested, monitored, and audited. We also discuss the principle of "AI by choice." David argues that CIOs and HR leaders should never discover that a new AI capability has suddenly been activated across hundreds of employees without their knowledge. Companies need visibility into where AI is being used, what data employees can provide to models, and whether customer information is being used to train external AI systems. The conversation examines AI literacy and why HR leaders need to become comfortable with the technology themselves before guiding employees through changes to jobs and working practices. Employees are already experimenting with AI, sometimes through personal tools outside approved company systems. Rather than ignoring this behavior, David explains why companies should provide safe environments where people can learn while establishing clear rules around sensitive data. Human accountability remains central as AI takes on more responsibility. David discusses why people using AI should remain accountable for its outputs and why human oversight matters when technology influences decisions involving recruitment, compensation, performance, and careers. For CEOs, CHROs, CIOs, HR technology leaders, and anyone responsible for enterprise AI, this conversation provides practical guidance on responsible AI adoption, employee data, AI bias, model monitoring, regulatory compliance, vendor selection, and building AI governance that can stand up to scrutiny. The lesson is that governance does not have to be a brake on AI adoption. Done well, it can give companies the structure and confidence to move faster, make better decisions about where AI belongs, and continue using the technology when regulators, employees, customers, and boards start asking harder questions. https://www.dayforce.com/ https://www.linkedin.com/company/dayforce/ https://www.linkedin.com/in/dtlloyd/

LIVE BROADCAST: Iran War, Charlie Kirk, Rick Cutler, the SUV, the dirt from UVU Your Calls tonight! 507-698-STEW (7839) Celebrate freedom while we still have it. Become an annual member of the Stew Peters Locals community and receive $17 OFF for a limited time. Your membership includes: • Exclusive members-only content • Live chats and community discussions • Behind-the-scenes access • Directly supporting independent, uncensored journalism. Don't wait, his special ends July 31.

Stew Peters LIVE CALL-IN SHOW: Call NOW 507-698-STEW to discuss war with Iran, China/Cuba scripted narrative, Charlie Kirk's murder and the occupation force behind all of it. Celebrate freedom while we still have it. Become an annual member of the Stew Peters Locals community and receive $17 OFF for a limited time. Your membership includes: • Exclusive members-only content • Live chats and community discussions • Behind-the-scenes access • Directly supporting independent, uncensored journalism. Don't wait, his special ends July 31.

RESOURCES- Manifestival™ 2026 is happening in Sedona. A powerful experience to help you release, reset, and step into your next level. Join me: https://danettemay.com/manifestivalAZ2026 - Step into your next level of growth and join me inside Lotus Rising Premium Coaching at danettecoaching.com - Follow the podcast to get notified when I drop an episode. New episodes every Tuesday and Thursday!CONNECT WITH DANETTEInstagram: @thedanettemayFacebook: Danette MayTikTok: @thedanettemayNEW TV Show on Youtube: @TheDanetteMayListen to The Danette May ShowRead my book: danettemay.com/embraceabundancebookGet The Rise book: therisebook.comWork with Danette: danettemay.comWhat if the places you feel drawn to are actually connected to your purpose, healing, relationships, and next chapter? In this episode of The Danette May Show, I sit down with Dylan Varenhorst to explore astrocartography, human design, astrology, and how these systems can help you make more aligned decisions. We talk about planetary lines, inner authority, Saturn lessons, career visibility, ancestral healing, and why certain locations may activate powerful shifts in your life.Dylan also explains why astrocartography is not always about immediately finding love, abundance, or success. Sometimes a location brings up the healing and integration required before you can receive what you are calling in. We also dive into ancient civilizations, intuitive travel, spiritual sovereignty, and how learning to understand your personal energetic map can help you trust yourself, follow your intuition, and make your own power moves.IN THIS EPISODE:(0:00) How to crack your personal power code(0:34) Welcome to The Danette May Show(1:52) Join me at Mana Festival(3:00) Inside the Lotus Rising offer(5:08) Meet Dylan Varenhorst(6:56) What astrocartography can reveal(8:48) Saturn lines, discipline, and delayed success(10:07) Human design, astrology, and location alignment(12:40) Ancient civilizations and hidden power systems(16:04) How modern leaders use energetic codes(19:59) Mystical experiences and spiritual sovereignty(27:21) How to understand your astrocartography map(31:24) Why healing comes before abundance(32:19) MC lines for visibility and contribution(35:38) Dylan's workshop and next steps(37:51) The power of pausing before reacting(38:39) Closing thoughts and how to support the showCONNECT WITH DYLANInstagram: https://www.instagram.com/humandesignmavenWebsite: https://www.hdmaven.com/masterclass

What if everything you've been taught about grit, success, and resilience is incomplete? In this powerful episode of The Growth Now Movement, I sit down with Kelly Green—a psychotherapist, resilience researcher, farmer, university lecturer, and one of the most inspiring people I've had on the show. Kelly's story is one of unimaginable adversity, incredible achievement, and profound healing. After surviving childhood sexual abuse and being sold for sex as a child, Kelly spent much of her life doing what so many high achievers do—proving her worth through achievement. She went from working at McDonald's to becoming an attorney, building a successful law practice, earning her Master's degree in Psychology from Harvard, and dedicating her life to helping others heal from trauma. But despite all of her accomplishments, her body began keeping score. Kelly shares how unresolved trauma led to multiple autoimmune diagnoses and forced her to confront an uncomfortable truth: success doesn't automatically equal healing. During our conversation, we dive deep into the difference between grit and true resilience, why so many entrepreneurs and high performers burn themselves out chasing achievement, and how trauma affects our biology, mindset, and relationships. Kelly also shares her groundbreaking five pillars of holistic resilience and practical ways we can begin building a life that's not just successful—but sustainable and fulfilling. If you've ever felt like you're doing all the right things but still feel exhausted, stuck, or disconnected from yourself, this episode will challenge the way you think about success, healing, and resilience. In This Episode, We Discuss: Kelly's incredible journey from childhood trauma to Harvard graduate The difference between grit and true resilience Why high achievers often struggle with burnout and autoimmune disease How childhood trauma impacts your biology and nervous system The five pillars of holistic resilience Why success doesn't always lead to fulfillment Human connection and mentorship as keys to healing Practical ways to build emotional and physical resilience The biggest lesson Kelly learned about taking ownership of her healing journey Daily habits that create a more resilient and purpose-driven life Connect with Kelly Green: Website: HolisticResilience.com Learn more about Kelly's resilience research, assessments, and upcoming tools.

You run out of energy.You run out of time.You can't do everything at once.And your actions have consequences.That feels normal… until you actually stop and ask why.In this investigation, we test a specific question:Do the limits of reality follow the exactly structure needed for a hidden one?If reality had the architecture of a first-person game, we would expect to see that certain structure leaving clues.So instead of assuming anything, we look at the evidence:Human experience.And ask:Are these random… or part of a deeper system?My links:https://nickzei.com/links

Don't fear losing your job to AI—fear losing it to someone who knows how to use AI better than you. It's time to stop treating AI as a tool and start treating it as your default way of working.Human by Design, AI by Default: Rewriting the Way We Work #110What does it actually look like to rebuild a global, legacy brand with years of technical debt into a completely AI-native business from the ground up? As it turns out, it isn't just a technological challenge—it is fundamentally an HR and communications mountain to climb.This week, Gary and George are doubly thrilled to welcome back Groupon's Chief People Officer, Nick Walker (marking his record third appearance on the show!), alongside Groupon's VP of Comms, Engagement, and Inclusion, Emma Coleman. Together, they take us behind the scenes of Groupon's massive cultural and structural transformation under their AI-savvy CEO, Dushan.From reshaping employee mindsets and restructuring traditional departments into lean "speedboats" to managing the psychological fear of redundancy, Nick and Emma share the unfiltered reality of rewriting the way we work. They discuss why AI adoption is actually a massive transfer of power from legacy systems back to human beings, and how human judgment remains the ultimate corporate superpower.Key takeaways from this episode:Speeding Fines vs. Parking Tickets: To build an AI-native culture, leaders must encourage risk-taking. Groupon welcomes "speeding fines" (mistakes made while pushing boundaries and moving fast) but has zero tolerance for "parking tickets" (complacency or refusing to try).Ditch the "Hand-Off Tax": Legacy organizations slow down because of continuous hand-offs between bloated, siloed teams. By structuring operations around "speedboats"—lean teams of 2 to 3 people running a complete workflow—you eliminate the friction and move exponentially faster.Close the Execution Gap, Not the Judgment Gap: AI is incredibly efficient at closing the execution gap (handling processes and grunt work). However, humans still own the judgment gap. Your ability to understand context, see around corners, and apply emotional intelligence is irreplaceable.Prompt Engineering is a Non-Negotiable Skill: Good inputs yield rich outputs. Investing time in mastering prompt engineering (sometimes spending up to an hour crafting a single prompt) is a major career differentiator that prevents "sloppy AI work."Send us Fan MailLinks & references: https://www.thecompanydoctor.com/Gary Gamp: https://www.linkedin.com/in/garygampGeorge Clode: https://www.linkedin.com/in/georgeclodeGary's new book, Career Catalyst - available online now: https://www.amazon.co.uk/Career-Catalyst-Secret-Skills-School-ebook/dp/B0DFYVG6XY/ref=tmm_kin_swatch_0?_encoding=UTF8&qid=&sr=

Artificial Intelligence is buzzy. There's a lot about it in the news and a lot we think we understand about how to use it and a lot we may not fully understand. But the promise it holds is tremendous, and today we're going to learn a little more about how it could benefit breast cancer research and patient care in the near future. Drs. Charles Perou at UNC Chapel Hill and Erika Crosby at Duke University are two very accomplished breast cancer researchers who are joining us today to share their perspectives on using AI now and in the future. Key takeaways AI is improving breast cancer screening and diagnosis. Researchers are using AI to save time on coding, writing, and data analysis. AI can help match patients to clinical trials more effectively. Human expertise is still needed to verify AI-generated results. AI has the potential to accelerate research and improve patient care. Chapters 00:00 — Introduction to AI in Breast Cancer Research 02:53 — Ethical Considerations and Responsible AI Use 04:33 — Current Clinical Applications of AI 08:12 — How Researchers Are Using AI in the Lab 11:17 — AI Limitations, Mistakes, and Critical Thinking 17:23 — The Future of AI-Assisted Cancer Research Learn more at realpink.komen.org and komen.org Real Pink, by Susan G. Komen, shares real stories and expert insights to support people navigating breast cancer, from diagnosis through survivorship.

In which the investigators investigate a crime scene, speak to witnesses, and discover clues. Really. The Company of the Light uses the Vaesen roleplaying system, by Free League Publishing and based an original concept by Johan Egerkrans. The mystery at the heart of the scenario is taken from Mythic Britain and Ireland by Graeme Davis. The name of that scenario (which may contain a mild spoiler) can be found below the music section of these notes. You can hear a short prologue to The Company of the Light on our Patreon: https://www.patreon.com/posts/blomqvist-01-ho-153999494 Cast: Lieutenant William Fellwood — Joseph Chance Bab Chase — Dominic Allen Siobhan Strong — Danann McAleer Bridge Ebden — Lucy Farrett Narrator — Dan Wheeler CW: This podcast contains mature themes, strong language and cosmic horror. (MILD SPOILERS FOLLOW): The mystery at the heart of this story is premised upon the disappearance and death of a young woman. However, with the exception of one moment (which I will flag when it arrives), this is not dwelt on in any great detail, and please note for avoidance of doubt this is NOT sexual violence or self-harm. Human discretion is advised. The Apocalypse Players is an actual play (or live play) TTRPG podcast focused on horror tabletop roleplaying games. Think Dimension 20 or Critical Role, but fewer dragons, more eldritch horrors, and more British actors taking their roleplaying very seriously (most of the time). We primarily play the Chaosium RPG Call of Cthulhu, but have also been known to dabble with other systems, most of which can be found on our Patreon: www.patreon.com/apocalypseplayers We now have a free Discord server where you can come and worship at the altar of the Apocalypse, play Call of Cthulhu online, and meet like-minded cultists who will be only too eager to welcome you into the fold. New sacrifices - oops - we mean players are always welcome. Join here: discord.com/invite/kRQ62t6SjH For more information and to get in touch, visit www.apocalypseplayers.com Music and SFX From Epidemic Sound: Daniella Ljungsberg - Against the Tide; Long Term and Ashes; Still in Blues; Flute; Soar Christoffer Moe Ditlevsen - Missing Memories; Partners in Crime; Desert Hideout David Edward – Angelica; Space Elf; Threads Horna Spelman – Vasterut; Svantes Polska; Koslapp British Grenadiers - John Abbot Bytt-Lasses Brudmarsch - Traditional End of a Dream - Hanna Lindgren Farewell to Ennerdale Water - Moorland Songs Frozen Fields - Medité Great Bend Reel - Roy Edwin Williams In the Storm - Amber Glow Lily of the Woods - Sandra Marteleur Meme - Nevin Pillow Magic - Valante Polska Fran Knaggalve - Traditional Red as a Rose - Rune Dale Reflection No. 2 for Solo Violin - Hanna Ekstrom Sayings and Blessings - David Celeste   From Artlist: Amulets - I Blackbard – Cyancerto; Skogsdrommar Brianna Tam - Circularity G-Yerro - Dark Hollows James Forest - El Faro; Morning Walks; One Evening in May pt 1; Queen of Art Michael Vignola - From the Sea; Under Water Rotem Moav - Blood on the Snow; Homebound Journey Manos Mars - Swiss Michael John Wookey - Wanderlust Motifs - Rural Folklore Accordion Musical Mandalas - Memories of a Fairground Skies Speak - I Think He Saw Us Yehezkel Raz - Enceladus   Public Domain / Creative Commons / Wikicommons: "Teller of the Tales" Kevin MacLeod (incompetech.com) https://incompetech.com/music/royalty-free/music.html Licensed under Creative Commons: By Attribution 4.0 License http://creativecommons.org/licenses/by/4.0/ The Wind that Shakes the Barley – YouTube user ‘peakfiddler' Collegium Vocale: O przedobry Boże nasz Tom Dillon - On Raglan Road - The Dawning of The Day - Sonny Don't Go Away (The Volunteer Pub, Sidmouth) The Tudor Consort: Thomas Tallis - Videte Miraculum The Tudor Consort: Thomas Tallis - Loquebantur variis linguis The Tudor Consort: Thomas Tallis - Lamentations I Tallis - If ye love me Tallis - Spem in alium John Dowland - Shall I sue U.S. Army Band: Ralph Vaughan Williams, Fantasia on a Theme by Thomas Tallis Ralph Vaughan Williams - English Folk Song Suite Makemi: Scarborough Fair Endersslay: Star of the county down Danny Boy tin whistle by JGrandgagnage The Girl I Left Behind Me   From Pond 5 ‘Krummi Svaf I Klettagja' – M Ragnarsdottir ‘Undir Blaum Solarsali' – M Ragnarsdottir ‘Modir Min I Kvi Kvi' – M Ragnarsdottir ‘Bjort Mey Og Hrein' – M Ragnarsdottir ‘Travelling for a Living' – Henry Parker ‘Sylvie' – Henry Parker ‘British Grenadiers' ‘Fenian Song' – Sonic Art Other tracks include ‘As I Roved Out'; ‘Proud Celt'; ‘Scarborough Fair'; ‘John Barleycorn'; ‘Matty Groves'; ‘Morris Dance'; ‘Maypole Dance'; ‘Celtic Fiddle'   Music by Dan Wheeler includes The Old Sow (trad) Sweat Boxer — (trad, with thanks to Davy Goodchild and The Harrow Inn) Haste to the Wedding (trad)   From xeno-canto XC975203 - European Herring Gull - Larus argentatus argenteus by David M XC384264 - European Robin - Erithacus rubecula XC590432 - Eurasian Skylark - Alauda arvensis XC554798 - Soundscape XC138375 - European Robin - Erithacus rubecula XC397660 - Carrion Crow - Corvus corone XC495630 - Great Tit - Parus major newtoni XC947630 - Carrion Crow - Corvus corone corone.wav XC1054294 - Carrion Crow - Corvus corone corone.wav XC817610 - Great Green Bush-cricket - Tettigonia viridissima.wav   [SCENARIO TITLE BELOW]   I have chosen not to include the name of the mystery at the heart of this scenario in the spoken introduction, as I consider it to be a potential spoiler for the story. But for completists and searchability I include it here: It is called Old Meg.  

Dr. Peter Boulden, Founder of Bulletproof Dental Practice & Cory Pinegar, CEO & Founder of Reach discuss: The 61 AI touchpoints in dentistry A systems crisis in dentistry Human connection in the AI age If you are interested in learning more about Reach and their virtual assistant solutions that integrate with AI workflows visit: https://getreach.co/ To learn more about Bulletproof Practice visit: https://www.bulletproofdentalpractice.com/  To register for Bulletproof Summit on August 7th & 8th in Scottsdale, AZ visit: https://www.bulletproofsummit.com/ Subscribe to our channel for more episodes and stay updated on the latest DSO news, insights, and events! If you like our podcast, please give us a ⭐⭐⭐⭐⭐ review on iTunes https://apple.co/2Nejsfa and a Thumbs Up on YouTube.

Lords: Alex Shannon Topics: What's a ghost? And other questions you can't explain to a 3 year old. Trophic memory, deer, and a truly unique scientific object- Copied from thoughtforms.life https://thoughtforms.life/trophic-memory-deer-and-a-truly-unique-scientific-object/ Summer Homework Otzi Awake, by Max Lavergne https://www.tumblr.com/dat-soldier/787624576603619328/beingharsh Microtopics: Game Changer and other Drop 7 shows. What real Topic Heads know. California Extreme, the pinball and arcade machine expo. Getting in on the ground floor to become the only place where topics are discussed. Dropping soup cans into a jacuzzi to record the Frog Fractions splash noises. Dropping the Frog Fractions lore. Releasing art and watching people get it in the way you wanted them to get it. Seeing the Human from Frog Fractions in real life and wondering "where do I know this human from?" A pin-up calendar where you draw your own pin-up each month. Conveying the concept of a ghost to a three year old. Whether it's okay to tell the truth to a small child Realizing that the three-year old only knows about fantasy skeletons and explaining that actually, skeletons are inside of us. A two-minute soliloquy about where mama owls come from. Doing your best not to adopt a child's adorable mispronunciation of restaurant. Hearing Dust in the Wind in a car commercial and being like "That's my dad's guitar song! That's the song my dad plays on guitar!" Accepting that you are responsible for shaping this child into a good, healthy adult human, but also, wouldn't it be funny if... Training your child to ask for "hot guys on Instagram" when she wants to look at pictures of unicorns and waterslides. Finding and ankylosaurus in the bedsheets. The age at which children develop a sense of fear. An entire song about not being afraid of ghosts and also how to bust them. One of the major delights of being around a child. Big bones sticking out of your head for a few months until they fall off. A New Fork in the Antlers. Whether it's advantageous to have more complicated antlers. Growing antlers in the lab. Owning a bunch of deer and collecting and labeling all their antlers. Telling the bone cancer what to do. Watching a moose shake its head and the antlers just pop right off. A moose dropping antlers to distract a predator. Trying to get on a plane with your new antler growth. Eating enough calcium to do all the antler growing you need to do. Scoring deer by counting the antler points. Moose lifespan. Seasonal Antler Disorder. The Dim Sum moose with one dumpling on every point of its antlers. Your 2nd grade teacher calling you up to assign you math homework to do on your honeymoon. Homework: what is it for? Homework as anti-union training. Striving to care less about your job. An after-school program that helps kids finish their homework by having an adult just do all the homework, like the parents would if they had the time. The cat on Jim's head. Finally hearing about a behavioral problem from your kid's teacher, that he likes reading too much. Doing the social norms because you are in a group who is all doing the social norms. Otzi the Preserved Carcass. A pretty dang old guy. An ice-age man with almost as many tattoos as a modern teenager. Gen X Cuspers. The earliest known human with Lyme disease. Wanting to make a gutstring bow but there are no guts around. What being any celebrity is like. What percentage of humans are related to Otzi the Ice Man. Being chased through the alps by people who want to kill you with arrows and the next thing you know scientists are rummaging through your stomach contents. An ancient form of Grindr. How old does a corpse need to be before you can buy and sell it? How lost does a corpse need to be before you can find it? Which natural laxatives the ice man used.

Human hope is a sign pointing to our one true hope: Jesus. Jesus doesn't just raise the dead – by trusting in him, he empowers us to transcend the fear of death, because life in Jesus is so fully life that it is as if the one trusting in him never dies, even on this side of eternity.  If you prefer to listen, stream, and/or watch, join us and subscribe on Youtube: https://www.youtube.com/@kingwoodmethodist

Welcome back to Wholly Love.In this rebooted episode, Dr. Fredrick J. Long is joined by Patrick Holley and Ben Hundley for a conversation about one of the most important questions facing Christians today:Is psychology compatible with Christian faith?Together they explore: • Freud's critique of religion • The relationship between psychology and theology • What Scripture means by "the soul" • Human thoughts, emotions, and identity • Spiritual formation and Christian growth • What it means to love God with all your mindWholly Love explores Christian spiritual formation, human flourishing, and what it means to become people shaped by the love of God.Can Christians embrace psychology without compromising biblical faith? Or are these disciplines more connected than many people realize?Join the conversation and let us know your thoughts in the comments.#WhollyLove #ProveText #GlossaHouse #Psychology #Theology #ChristianLiving #SpiritualFormation #FaithAndReasonStudy deeper with GlossaHouse:

Human hope is a sign pointing to our one true hope: Jesus. Jesus doesn't just raise the dead – by trusting in him, he empowers us to transcend the fear of death, because life in Jesus is so fully life that it is as if the one trusting in him never dies, even on this side of eternity.  If you prefer to listen, stream, and/or watch, join us and subscribe on Youtube: https://www.youtube.com/@kingwoodmethodist

The Montrose Rescue Call Wasn't Human and Neither Was the DangerBecome a supporter of this podcast: https://www.spreaker.com/podcast/dark-mysteries-unsolved-mysteries-forgotten-secrets-unanswered-questions--5684156/support.Darkest Mysteries Online

It's Episode 25 - the Finale of Season 24. Enter the dark waters of the Cape Fear River as we present a tale about homebound trauma."Plink" by Marcus Damanda (Story starts around 00:04:20)TRIGGER WARNING!Produced by Phil MichalskiCast: Jimmy - Peter Lewis, Father - David Cummings, Linda - Mary Murphy, Melissa - Jessica McEvoy, Mother - Nikolle Doolin, Dewey - Dan Zappulla, Andrew - Dan ZappullaThis episode is sponsored by:Indacloud - IndaCloud is a fully legal online cannabis dispensary for gummies, exotic flower, premium prerolls, Zero Sugar THC Sodas, Energy Gummies, and Extra Strength Sleep Gummies. If you're 21 or older, go to indacloud.co/nosleep to get 30% off your first order.Click here to learn more about The NoSleep Podcast teamClick here to learn more about Marcus DamandaCheck out our NEW MERCH! Executive Producer & Host: David CummingsMusical score composed by: Brandon Boone"Plink" illustration courtesy of Catriel TallaricoThe NoSleep Podcast is Human-made for Human Minds. No generative AI is used in any aspect of work.Audio program ©2026 - Creative Reason Media - The copyrights for each story are held by the respective authors. No duplication or reproduction of this audio program is permitted without the written consent of Creative Reason Media. No part of this audio program may be used or reproduced in any manner for the purpose of training artificial intelligence technologies or systems. All rights reserved.

Get access to more than 200 episodes of my premium podcast (The Aliquot) when you sign up as a FoundMyFitness Premium Member The next 10 years may add decades to human lifespan by compressing the time it takes to understand, treat, and prevent disease. In this episode, Dr. Derya Unutmaz explains why accelerating AI could transform drug discovery, shorten clinical trials, and push cancer treatment toward increasingly personalized interventions. He also reframes AI not as an existential threat, but as a medical enabler that doctors may soon be ethically obligated to use. Timestamps: (00:00) Introduction (07:11) Why the next 10 years may add 50 to your lifespan (11:19) How AI is transforming drug discovery (16:50) Could digital twins shorten clinical trials? (19:25) Can AI predict drug safety and efficacy? (23:40) Have we already reached AGI? (29:23) Why AI may be medicine's greatest force multiplier (35:35) Can AI replicate a scientist's biological intuition? (42:16) Is it malpractice for doctors not to use AI? (48:18) What happens when AI monitors disease in real time? (51:52) Which AI models should doctors trust? (57:29) Claude vs. GPT—does the model matter for diagnosis? (1:00:58) Generalist vs. specialized AI—which works better in medicine? (1:04:25) Why cancer is so hard to cure (1:08:18) Could cancer be curable within a decade? (1:12:29) Can AI design cancer treatments on demand? (1:14:31) How AI could curb overtreatment and side effects (1:17:28) Predicting cancer years before it forms—is it possible? (1:23:50) Why biology could go exponential with AI (1:28:58) Why aging may be easier to prevent than reverse (1:34:51) Can the body be engineered to resist aging? (1:40:07) Can AI model how gene therapy will behave? (1:44:12) What people who reach 110+ reveal about Human 2.0 (1:46:21) From Dolly to Yamanaka factors—the case for cellular age reversal (1:50:56) Why full-body rejuvenation is an engineering problem (1:58:44) What happens when AI reasons longer about biology? (2:01:25) The biosecurity dilemma of powerful AI (2:06:12) What should we actually measure to track aging? (2:12:34) How old immune cells distort aging clocks (2:15:22) Why reversing brain aging is uniquely difficult (2:21:49) The ultimate prompt for extending lifespan (2:23:50) What data does a true digital twin need? (2:28:32) How to build a mini digital twin today (2:33:26) How to give AI a long-term memory of your data (2:36:33) Why personal baselines matter for AI advice Show notes are available by clicking here Watch this episode on YouTube

Money is everywhere in our daily lives. It lurks in the swipe of a card at the grocery store, in looming student-loan debts, in the prices of things we want, and in our subconscious navigation of the modern world. In this revelatory book, economists Mason and Jayadev explain how and why money is so deeply misunderstood by the world it dominates—as well as the dangerous social implications of this misunderstanding. Against Money (University of Chicago Press, 2026) tackles the most dearly held “truths” of economics, arguing that the world of money has never been an impartial representation of the world of things. Instead, its existence in different forms—debt, capital, liquidity, and interest—increasingly shapes events in the real world rather than just reflecting them. Sometimes money enables new forms of cooperation; more often it facilitates domination. Human existence is not just facilitated by money but also governed by it. J.W. Mason is an Associate Professor of Economics at John Jay College, City University of New York and a Senior Fellow at the Groundworks Collective. He was formerly the Policy Director for the New York State Working Families Party. Arjun teaches Economics at the University. Arjun Jayadev is Professor of Economics at Azim Premji University in India. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/new-books-network

The Consummation of Praise Ryan Griffith Download I don't know about you, but I have always struggled with poetry. And by struggle I mean that I haven't particularly liked it. Most of the stuff I was introduced to in high school was the open-verse kind – no meter, no rhyme scheme. I'm sure if I was smarter or worked on it longer, I might find Whitman or Dickenson or Hughes illuminating. Perhaps I'm too simple, but for my lights good poetry is not mainly a puzzle to unlock. Let's try a relevant example for our sesquicentennial year. Maybe you know it.Listen my children, and you shall hear, of the midnight ride of Paul Revere. On the eighteenth of April in seventy-five hardly a man is now alive who remembers that famous day and year.Poetry is designed to be memorable and meaningful and to produce a certain kind of response.I love the ending:And so through the night went his cry of alarmTo every Middlesex village and farm,—A cry of defiance, and not of fear,A voice in the darkness, a knock at the door,And a word that shall echo forevermore!For, borne on the night-wind of the Past,Through all our history, to the last,In the hour of darkness and peril and need,The people will waken and listen to hearThe hurrying hoof-beats of that steed,And the midnight message of Paul Revere.In April of 1860, Longfellow wrote Paul Revere's Ride as our nation stood on the precipice of Civil War. He wanted to remind a very divided country of an important story of courage and sacrifice from America's founding generation. And he longed to impact their affections — encouraging fellow abolitionists to take heart and to act with urgency and end the injustice of chattel slavery. That's what great poetry does: it captures a narrative in a memorable way — a way that communicates truth beautifully and awakens the reader's affections and actions. This is how Psalm 104 works. It is different than Psalm 8 (“you have set your glory above the heavens”) or Psalm 19 (“the heavens declare the glory of God and the sky above proclaims his handiwork), because not only is Psalm 104 a poem with vivid, worship-evoking imagery, it is a poetic retelling of an important story: Genesis 1-3. It's literally a song—the Psalmist's cover of Moses's narrative account. And like Paul Revere's Ride, the retelling of God's work in Creation (vv2-30) communicates truth beautifully and awakens our affections and actions. It calls us (v1) to bless the Lord and (v31-35) fuels the consummation of that praise. Let's take this poem in those three steps. The call to praise (v1)The cause for praise (vv2-30)The consummation of praise (vv31-35)1. The Call to PraiseWhile the Hebrew text doesn't ascribe this Psalm to David, both the Greek translation of the Old Testament and the Dead Sea scrolls label this a Davidic Psalm. Especially because the Psalmist begins, as David did in 103, by calling on his soul: “Bless the Lord, O my soul.”David is telling himself, “slow down, shut off the music, put away the phone, and look – I mean really look.” This isn't just a looking with the eyes. As we heard, vv2-30 are full of vivid imagery – things that David certainly would have seen: lightning, storm clouds, the sea, the mountains; streams, birds, donkeys, and so on. But David is doing more than observing – he is lovingly turning over in his mind what he sees; pondering it; examining it in light of the story of creation. In verse 34 David calls this way of looking “meditation.”Verse 34, May my meditation be pleasing to him, for I rejoice in the Lord.We'll come back to this, but for the moment notice that the call to bless the Lord is grounded not only in what David sees but in who he sees by it. His meditation on God's work in Genesis 1-3 produces a delight that bubbles up at the beginning, in the middle, and at the end of the Psalm. 2. The CauseLet's turn to examine the cause for this delight. David goes back to Genesis 1 and 2 to give six reasons creation is a cause for blessing the Lord.Reason #1: God is great in the heavens (1b-4).Look at verses 1-4. Can you hear Genesis 1? In the beginning, God created the heavens and the earth. The earth was formless and void and darkness was over the face of the deep. And the Spirit of God of was hovering over the waters. And God said “let there be light.” And there was light (Gen 1.1-3).And so David proclaims, God is clothed with splendor and majesty, robed in light. He hangs the stars and the planets. He establishes the atmosphere. He stores up the rain and builds his throne above the earth. He is swift and mighty as the wind and he bridles the great thunderclouds. The greatest forces of the universe are under his sovereign control: “he lays, he makes, he rides.” Reason #1 for praise, God is great in the heavens.But not only is God great in the heavens, he is also…Reason #2 supreme over the earth (5-9).Look at vv. 5-9 while I read Genesis 1. Can you hear the creation account? And God said, “Let the waters under the heavens be gathered together into one place, and let the dry land appear.” And it was so. God called the dry land Earth, and the waters that were gathered together he called Seas. And God saw that it was good.We tend to call the world around us “nature” as though it is self-existing. But David attributes supremacy over the planet to God alone. It is a supernatural creation. You covered the earth with the waters. You spoke and they fled. The mountains and valleys took the places you assigned. You drew a line for the waters and said: “they shall not pass.” Reason #2, God is supreme over the earth.God is also…Reason #3, the giver of life-sustaining waters (10-18).Here David's song does variation on a theme. In an arid land like Israel, water was scarce. But God took care of that. You make the water appear out of nowhere. Springs to sustain your birds and animals. Even the mountaintops you provide for – bringing rain to water them. You cause the grass to grow. You made good plants for man to cultivate – grain for bread, grapes for wine. You provide for the animals and you gladden the heart of man. Just as Genesis 2 says, God is the giver of life-sustaining waters.Reason #4 God is maker of time (19-23).“Night and day,” David says, “they were your idea” On the fourth day, you made the sun and the moon to govern them. You even appointed that the beasts stalk their prey (which you provide) at night so that man can labor by day. What didn't you think of? You are the maker of time.David can't even get through his meditation on creation without erupting into praise. Look at verse 24:“O Lord, how manifold are your works! In wisdom have you made them all; the earth is full of your creatures.”The poet Gerard Manly Hopkins wrote, “the world is charged with the grandeur of God. It will flame out like shining from shook foil.” Everywhere David looks, he sees God's beauty and excellence. It is as though he is saying, “Look at that! Isn't he amazing? Look at that! Isn't he majestic? Look at that! Isn't he wise! So David like a good songwriter, even puts in verse 24 as a bridge — pointing back at God's works in vv1-23 and pointing forward to God's creatures in vv25-30!Because…Reason #5 God is maker of the sea and its creatures (25-26).Even the Leviathan, which makes Job shiver in his boots, you made on Day Five so it could play in the sea. Since the waters are under your sovereign control, what once was a barrier is now a route for travel and trade. Isn't he something? God is the maker of the sea and its creatures.The whole account crescendos in the final reason David gives…Reason #6, God is creator and sustainer of all creatures (27-30).All these — the beasts and the birds, the plants and the trees, the whales and the wombat — they all look to you. You, God, are at the center of it all. When you give, when you open, when you hide, when you take away…all creation waits on you. You care for them. None escape your notice. Because you are the creator and sustainer of all things.So, David with Genesis in mind and the Spirit's poetic inspiration gives us six reasons creation should cause us to bless the Lord. God is great in the heavens, he is supreme over the earth, he is the giver of life-sustaining waters, he made and governs time, he oversees the oceans and its amazing creatures, and he is the creator and sustainer of all things. Creation displays his handiwork. All of it testifies to his power and divine nature. If we have eyes to see it, every blade of grass, every multi-colored sunset, every microscopic organism, every mighty beast, every mathematical equation shouts the glory of God. We inhabit a world “set on fire with praise.”No wonder David begins in v 1 by exclaiming: O YHWH, my God you are very great! In fact, the Hebrew might be better rendered – “you have become magnificent. You have clothed yourself with splendor and majesty.” Your works redound to your glory! Everything in the created order is a mirror reflecting back to God the wisdom and beauty and goodness that he is, himself. Lord, give us the eyes to see!So we've seen the call to praise (v1), David's six-fold cause for praise (vv1-30); now, thirdly, (vv31-35) the consummation of praise.3. The Consummation of Praise (31-35)All that David has considered now fuels his final refrain in verses 31-35:“May the glory of the Lord endure forever; may the Lord rejoice in his works, who looks on the earth and it trembles, who touches the mountains and they smoke!” (vv31-32)Notice two striking things about this verse. First, it is a plea. “May the glory of the Lord endure forever. May the Lord rejoice in his works.” David feels God's greatness so deeply that his prayers line up with God's design. “Yes, God. You are glorious, and so may your glory be seen! May your people delight in you and all that you are.”But notice that second prayer in verse 31. “May the Lord rejoice in his works.” Not “May your people, rejoice in your works,” but “may the Lord rejoice.” God delights in his works. We know this, because that's God's refrain in Genesis: “And God saw that it was good.” The earth and seas. Good! The plants and the trees. Good! The moon, sun, and stars. Good! The creepy crawlies and the fish and the birds and the sea creatures and the great beasts and the livestock. Yes, Good! Man and woman, in my own image. Very good! God rejoices in his work because it reflects him. It shows off his manifold excellencies. All of creation simultaneously every moment of every day since God spoke the universe into existence declares what is true — that God is the most admirable, beautiful, wise, good, generous, glorious being in the universe. And we were created to share in his joy.This God-centeredness of God might throw us off balance. Is it off-putting that God, through David in Psalm 104, commands his own praise? C.S. Lewis at first thought that it seemed no different than a vain woman craving compliments. But listen to what he concluded: “…the most obvious fact about praise – whether of God or anything – [had] strangely escaped me. I thought of it in terms of compliment, approval, or the giving of honor. I had never noticed that all enjoyment spontaneously overflows into praise…The world rings with praise – lovers praising their mistresses, readers their favorite poet, walkers praising the countryside, players praising their favorite game – praise of weather, wines, dishes, actors [and so on]….I had not noticed…that just as men spontaneously praise whatever they value, so they spontaneously urge us to join them in praising it: ‘isn't she lovely? Wasn't it glorious? Don't you think that magnificent?' The Psalmists in telling everyone to praise God are doing what all men do when they speak of what they care about. My whole more general difficulty about the praise of God depended on my absurdly denying to us as regards the supremely valuable what we delight to do – what indeed we can't help doing – about everything else we value.”David praises what is supremely valuable. He does what we are made and delight to do. He rejoices in God being God. And sings about it!“I will sing to the Lord as long as I live; I will sing praise to my God while I have being. May my meditation be pleasing to him, for I rejoice in the Lord.” (vv33-34) But the singing must not stop with him. Look how he ends his song. “Bless the Lord O my soul. Praise the Lord!” (35b)David moves beyond calling his soul to bless the Lord to summoning all people to do the same. “Praise the Lord” is the first use of “hallelujah” in the Psalter. It is a you-plural not a you-singular. Northern English speakers don't have a category for this, but my eastern Kentucky relatives would say it right, “Praise the Lord, y'all. All y'all.” And that's because, as Lewis continues, calling others to praise God “doesn't merely express the enjoyment, it is its appointed consummation” — it brings praise to its fullest completion. David's joy is made complete by calling us to praise the Lord by us joining in that praise. That is what this Psalm is for. Like Longfellow's Paul Revere's Ride, Psalm 104 captures an important story in a memorable way. It reminds us of something that really matters. But ultimately, it does something to us.Don Paterson says that when a poet writes a poem he's creating a little machine that when operated by a reader, recreates in them the experience the poem is trying to preserve. When we operate Psalm 104, it evokes our joy in God. It summons us to express that joy in praise and blessing. And it calls us to consummate that joy by sharing it with others. But neither David nor us can know this joy without addressing the most serious problem.Let sinners be consumed from the earth and let the wicked be no more! (v 35a)At first, I found this an odd thing for David to say in his great crescendo of praise. But he is reminding us that Genesis 3 comes after Genesis 1 and 2. Human beings were made to receive creation as a gift and enjoy and rejoice in what it tells us about the one for whom we were made. But we turned the gold into idols halfway to Canaan. We worship created things rather than the Creator. While creation shouts that we were made for joy in God, so often we say “that's nice” and go back to scrolling on our devices. David longs for a day when this outrage will finally be addressed. That sin that he sees traces of in verse 29. Paul tells us that even creation has been subjected to futility because of our rebellion. Things are not the way that they should be. The Lord's SupperAnd that is what brings us to the table. Because in the fullness of time, God himself came to address that rebellion. He entered into his own creation to free us from enslavement to inferior joys. To save us from the penalty our idolatry justly deserves. In mercy and kindness, to restore to us the fullness of his joy; His life for ours; our sin for his righteousness that we might be to praise of his glory. That is what we celebrate here. Maybe in this moment you can't bless the Lord because you haven't given up your idols; you haven't put all your hope in Jesus for the forgiveness of sin. Friend there is no better time than now. Jesus says to you, I am the bread of life, whoever comes to me shall not hunger and whoever believes in me shall never thirst (Jn 6.35). Go to him.

The Canadian Museum for Human Rights in Winnipeg was built to educate Canadians about stories of global injustice. Yet in the more than 10 years since it opened, it has not meaningfully acknowledged the dispossession of Palestinians in 1948 that resulted from the founding of Israel. But now the CMHR has announced an exhibit titled Palestine Uprooted: Nakba Past and Present to launch next year. Jonah Corne is an associate professor in the department of English, Theatre, Film and Media at the University of Manitoba. He joined us in December 2025 to talk about the significance of this move.

Money is everywhere in our daily lives. It lurks in the swipe of a card at the grocery store, in looming student-loan debts, in the prices of things we want, and in our subconscious navigation of the modern world. In this revelatory book, economists Mason and Jayadev explain how and why money is so deeply misunderstood by the world it dominates—as well as the dangerous social implications of this misunderstanding. Against Money (University of Chicago Press, 2026) tackles the most dearly held “truths” of economics, arguing that the world of money has never been an impartial representation of the world of things. Instead, its existence in different forms—debt, capital, liquidity, and interest—increasingly shapes events in the real world rather than just reflecting them. Sometimes money enables new forms of cooperation; more often it facilitates domination. Human existence is not just facilitated by money but also governed by it. J.W. Mason is an Associate Professor of Economics at John Jay College, City University of New York and a Senior Fellow at the Groundworks Collective. He was formerly the Policy Director for the New York State Working Families Party. Arjun teaches Economics at the University. Arjun Jayadev is Professor of Economics at Azim Premji University in India. Learn more about your ad choices. Visit megaphone.fm/adchoices Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/politics-and-polemics

The PERFECT procurement pipeline was exposed on The Stew Peters Show when Ana Escobar revealed a damning bank of Google Image Searches that originated from Fort Huachuca. The fallout has been eye-popping! Turning Point USA Insider Mitchell Manley, who worked closely with Charlie Kirk beginning as a young teenager, joins the Stew Peters Show to break his silence, name names and dismantle the web of lies being told about who Charlie Kirk was, why he was killed and who was involved. John Jubilee is exposing the catastrophic truth about these GLP-1 shots causing blindness, pancreatitis, and muscle loss. I went from inflamed and fat to shredded with real cellular hydration through Energized Health — ditch the dangerous drugs and transform your body the right way. Celebrate freedom while we still have it. Become an annual member of the Stew Peters Locals community and receive $17 OFF for a limited time. Your membership includes: • Exclusive members-only content • Live chats and community discussions • Behind-the-scenes access • Directly supporting independent, uncensored journalism. Don't wait, his special ends July 31.

What happens when an AI agent begins influencing business decisions without fully understanding the systems, processes and dependencies behind them? In this episode, I speak with Bert van der Zwan, CEO of Bizzdesign, about the gap between enterprise AI expectations and the results many companies are seeing in practice. Bert has spent more than 25 years in software and SaaS leadership, including executive roles at Webex, Bynder, Twinfield and Unit4. Bert offers a candid assessment of the current AI market. He believes AI will have a lasting effect on businesses and society, but argues that expectations for near-term financial returns have become inflated. Many companies are spending money on tools and experimentation without reducing costs, consolidating software or producing new revenue. That does not mean experimentation is a mistake. Bert sees it as a necessary stage. The harder question is how companies move from a growing collection of pilots to AI capabilities that can operate dependably inside the business. One barrier is fragmented organizational context. Large enterprises have often grown through a combination of internal expansion and acquisitions, leaving behind disconnected applications, inconsistent data definitions and processes that cross several departments. An AI system working with only part of that picture may make a fast decision, but that does not make it a good decision. Bert argues that AI needs an authoritative view of how the enterprise works. Systems, processes, ownership, dependencies, approval status and policy restrictions must be visible and consistently defined. Without that shared context, AI may reproduce existing silos or make them worse. We also discuss the risks boards and technology leaders should consider as AI agents become involved in operational decisions. These include unreliable data, unclear accountability, legal exposure, weak governance and an incomplete view of the process being changed. Human oversight remains necessary, particularly when an automated decision could affect customers, employees or major investments. Bert then introduces the idea of "bespoke from the cloud." Traditional SaaS products were built around largely standardized interfaces and workflows. AI-assisted development could make software far easier to personalize around individual customers and use cases. This may give users greater control, but it could also challenge long-term software contracts and the economics that have supported the SaaS market. For leaders trying to connect AI spending with business results, Bert recommends beginning with visibility and a clearly defined outcome. Every initiative should be judged by whether it reduces costs, increases revenue or shortens the time required to deliver value. If AI depends on understanding how a company actually works, have businesses invested enough in creating that shared understanding before adding agents to their operations? Listen to the episode and share your thoughts with me.

Healthcare in America is stuck in a "sick care" model—we wait until people are already ill, then scramble to treat them. Dr. Gloria Winters, VP of Health Innovation at the YMCA of the USA, has spent the last year building something different: a community health operating system that pulls together your wearables, your medical records, and AI-driven insights into one place, so you actually know what to do with your health data instead of just staring at numbers. In this episode, she breaks down her "house" framework for the $5.6 trillion healthcare industry, why falls cost the country more than almost anything else, how she's working directly with HHS and the MAHA movement on preventive health policy, and why personal agency—not just data—is the missing piece in helping people actually change their behavior. If you've ever felt like your Apple Watch tells you everything except what you should actually do next, this conversation is for you. Key Takeaways:

A humanoid removed 7 gallbladders. Human doctors controlled everything. A world first. Plus, Dave's ChatGPT diagnosed his car issues when mechanics couldn't. He shares his experience with us. Learn more about your ad choices. Visit megaphone.fm/adchoices

Human wickedness spreads until every thought is bent toward evil. God grieves over the corruption of His creation. In this sermon, we see both the depth of sin and a glimmer of hope through Noah.Bible Reading:Genesis 6:1–8Preacher:Sermon by Andy JuddThis episode is part of The Beginning of Everything, a teaching series exploring Genesis 1–11.As we open the Scriptures, we see the beauty of creation, the tragedy of the fall, and God's unfolding purpose for the world. We encounter the God who creates, provides, judges, and shows mercy—and discover how the beginning helps us make sense of life today.Find out more at cityonahill.com.au/genesis

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

It is becoming increasingly common to hear the American Dream is dead, with young people today often citing housing prices, the difficulty of finding jobs, and tax burdens.Forbes Media chairman Steve Forbes has a very different take.“A free people always finds ways to move ahead, even though times and circumstances change. The problems we face today are not anything inherent in America, but in mistakes made by government. And the nice thing about that is mistakes can be undone,” Forbes said.He's the editor-in-chief of Forbes Media and the co-author of “Inflation: What It Is, Why It's Bad, and How to Fix It.”In this wide-ranging episode, filmed at the FreedomFest conference in Las Vegas, we dove into the rise of democratic socialist candidates, DEI hiring, inflation, how the United States should approach Taiwan and Iran, and the basic truth about prosperity that no one is teaching today.At the heart of this conversation is an extremely hopeful message: “Human ingenuity is unlimited. Have faith in the future.”Views expressed in this video are opinions of the host and the guest, and do not necessarily reflect the views of The Epoch Times.

Great Morning, Humans, Great Morning, World. I am Dr. JC Doornick, AKA the Dragon. Welcome to the Makes Sense Podcast, and welcome to the Uprising of the sleepwalking masses. Here's a bold statement: 99% of the emotional pain you feel today isn't happening to you — it's happening to a costume you're wearing. Napoleon Hill called it indifference. I call it the Unshakable Mindset. And today, I'm going to show you the exact four-step system I am using — right now, in real time — to stay architecturally sound while the world tries to shake me. If you've ever wondered how some people seem completely unbothered while everyone else is a puppet on a string... stay with me. This one might change how you respond to everything. Follow Dr. JC Doornick and the Makes Sense Academy:► Makes Sense Substack - https://drjcdoornick.substack.com ► Instagram: / drjcdoornick ► Substack: / drjcdoornick ►Facebook:  / makessensepodcast ►YouTube:  / drjcdoornick     MAKES SENSE PODCAST Welcome to the Makes Sense with Dr. JC Doornick Podcast. This podcast explores topics that expand human consciousness and enhance performance. On the Makes Sense Podcast, we acknowledge that it's who you are that determines how well what you do works, and that perception is subjective and an acquired taste. When you change the way you look at things, the things you look at begin to change. Welcome to the uprising of the sleepwalking masses. Welcome to the Makes Sense with Dr. JC Doornick Podcast.   SUBSCRIBE/RATE/REVIEW & SHARE our new podcast. FOLLOW Podcast: You will find a "Follow" button in the top right. This will enable the podcast software to alert you when a new episode launches each week. Apple: https://podcasts.apple.com/ca/podcast/makes-sense-with-dr-jc-doornick/id1730954168 Spotify: https://open.spotify.com/show/1WHfKWDDReMtrGFz4kkZs9?si=003780ca147c4aec Podcast Affiliates: Kwik Learning: Many people ask me where I get all these topics, which I've been covering for almost 15 years. I have learned to read nearly four times faster and retain information 10 times better with Kwik Learning. Learn how to learn and earn with Jim Kwik. Get his program at a special discount here: https://jimkwik.com/dragon OUR SPONSORS: Operly - Take Back Control of your Work Day and Get Rid of All Your AI Apps - Welcome to the new world of Time Freedom and Unlimited Scaling and Success with Operly -  https://go.getoperly.ai/video?ref=jean-claude-claude-d-2a95 Blue Blinds Bakery - Hand Crafted with all-natural ingredients - www.blueblindsbakery.com   0:00 = Teaser 0.22 - Intro 1:14 - Great Morning 2:29 - Napoleon Hill on the First Words Out of Your Mouth Each Day 4:27 - Every Single Cell Inside My Body 6:11 - Becoming Mentally Unshakable 9:48 - To stop carrying things that are not yours 10:08 - Human beings living like puppets 14:04 - Carrency 17:42 - IRS Comes In 23:52 - Detachment vs. Suppression 26:03 - The Sick Role 26:37 - Bruce Lee Flow Like Water 27:41 - Allowing myself to be silent 30:41 - The 5 Year Rule Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

"One deeply connected conversation can change the trajectory of a life and the world forever." — Terri Lonowski Most frameworks for communication tell you to speak more clearly, ask better questions, or manage your body language. Terri Lonowski's Soulful Listening does something different — it starts with how you listen, not how you talk. And after 14 years of developing, testing, and teaching it, the results she can point to are hard to dismiss. Terri traces the framework back to her grandmother Helga, who had a rare quality — a quiet, solid presence that made everyone around her feel completely seen. Growing up above a chaotic family restaurant, with a high school guidance counselor who told her she'd never leave her small Nebraska town, that presence was a lifeline. It became a model. After coaching human-centered design teams whose work was presented at the White House, and after months of sequestering herself to understand what made deep connection work, Terri arrived at five elements: self-care, full presence, quantum listening, inspired action, and circling back. The framework is grounded in neuroscience as much as intuition. Gallup's most recent global engagement data shows 80% of employees feel disengaged at work — a $10 trillion annual problem that Terri argues traces directly to the breakdown of genuine listening. What happens in the body when you don't feel heard isn't just emotional. It's physiological. Her TEDx talk, "Nobody's Listening and It's Killing Us," names the stakes directly. The most vivid proof point is her son Jacob — raised inside the culture of Soulful Listening as a single mother, who at fifteen stood in a cornfield and articulated a vision. Terri listened. She took inspired action. Before the end of his junior year, he had earned a full scholarship to Georgia Tech as an offensive lineman. He is now a doctor of physical therapy working exclusively with Navy SEALs. Terri closes with three concrete steps anyone can begin this week — no prior training required. Expert Action Steps: Take a breath and listen. Before entering any conversation, take a few intentional breaths — in through the nose, out through the mouth — to arrive present rather than distracted. Get quiet and listen to yourself. There is a wisdom within you that can guide you toward your next step and your highest path. Give it silence to speak. Be there for others. Show up fully for the people in your life. Human connection isn't a luxury — it is foundational to who we are and how we thrive. Learn more & connect: Terri's website: https://www.soulfullistening.com Connect with Terri on LinkedIn: https://www.linkedin.com/in/terrilonowski Terri's TEDx Talk — "Nobody's Listening and It's Killing Us": search "Terri Lonowski TEDx" on YouTube Resources mentioned: Gallup Global Workforce Engagement Study — https://www.gallup.com/workplace/349484/state-of-the-global-workplace.aspx TEDx Talk: "Nobody's Listening and It's Killing Us" by Terri Lonowski — search YouTube Soulful Listening framework — https://www.soulfullistening.com Visit https://www.eCircleAcademy.com and book a success call with Nicky to take your practice to the next level.

Fewer than 100 companies have scaled enterprise AI from pilots to production to capture great value. Alexander Sukharevsky, who leads QuantumBlack, McKinsey's AI practice, joins Michael Krigsman to lay out the repeatable recipe behind those results and why the winners earn roughly three dollars back for every dollar invested. The conversation covers what capturing AI value really requires, why the CEO and board must own the transformation, and how to lead a hybrid workforce where agents work as colleagues, not tools.======This episode brought to you by Gartner IT Symposium/Xpo™: https://cxo.news/KGg8XY======YOU'LL DISCOVER✅ Why fewer than 100 companies captured two-thirds of AI's value, and what they did differently✅ The repeatable recipe: focus a few domains, ready your data, rewire architecture, and fix the economics✅ Why AI transformation must be led by the CEO and board, not handed to the CTO or chief digital officer✅ How to treat AI agents as accountable colleagues, and who stays accountable for the outcomes✅ Why reinventing a domain beats bolting AI onto an existing process✅ How the winners pursue cost savings and top-line reinvention at the same time✅ Why governance and digital trust belong in from day one, with adults in the room on ethics✅ How expertise and judgment become more valuable as agents speed up the work⏱️ TIMESTAMPS0:00 The repeatable recipe for AI value8:27 Treat agents as colleagues, not tools13:42 Why the CEO must own the transformation18:05 From token maxing to value maxing22:01 Managing a hybrid team of agents23:30 A flexible architecture for changing models26:25 Governance and digital trust from day one30:59 Cost savings versus reinventing the top line34:46 Human focus, judgment, and accountability44:12 Redesign workflows instead of bolting on AI46:24 Careers and apprenticeship in an agent world50:47 What real CEO ownership looks like

Democracy is under pressure. Human rights are increasingly contested. And around the world, authoritarian leaders are gaining ground.In this episode of Ways to Change the World, Krishnan Guru-Murthy speaks to Binaifer Nowrojee, president of the Open Society Foundations, one of the world's most influential human rights organisations. From documenting sexual violence during the Rwandan genocide to leading a global network dedicated to democracy, justice and human rights.Nowrojee reflects on the growing backlash against women's rights, the mounting pressure facing civil society groups, and the future of international law in the aftermath of conflicts from Ukraine to Gaza. She also discusses the controversy surrounding billionaire philanthropy, why she believes human rights are not in retreat, and the reasons she remains hopeful about the next generation's willingness to fight for freedom and dignity.Drawing on her own experience growing up under authoritarian rule in Kenya, she argues that progress is rarely linear - but that the struggle for justice is never finished.

What happens when wholesale distributors realize “CRM” is no longer the real conversation, growth, data, AI, and sales enablement are?In Episode 198 of Around the Horn in Wholesale Distribution, Kevin Brown and Tom Burton unpack the shift they saw firsthand at the Affiliated Distributors Functional Success Summit: distributors are moving beyond traditional CRM adoption questions and toward connected data systems, AI-enabled sales strategy, and future-proofing distribution. The episode connects macroeconomic uncertainty, supply chain risk, AI governance, human judgment, and enterprise growth strategy to the real decisions facing wholesale distribution teams today.What You'll Learn:Why distributors are moving past traditional CRM conversations and focusing instead on how to help sales teams create more value, become more consultative, and grow revenueHow CRM-ERP integration, data warehouses, e-commerce platforms, marketing automation, and disconnected point solutions can limit customer visibility unless they are unified into a true enterprise growth platformWhy inflation measurement, interest rate uncertainty, and prediction markets matter to revenue leaders in distribution making investment and growth decisionsHow Strait of Hormuz disruption, Suez Canal risk, oil volatility, plastics, fertilizers, helium, and global logistics instability can ripple through manufacturing and wholesale distributionWhy AI still needs human judgment, oversight, and strategy, and why many companies miss expected ROI when they assume full automation instead of building a realistic digital transformation planEpisode Highlights:01:16 – Lessons from the Affiliated Distributors Functional Success Summit and why sales enablement is replacing traditional CRM talk03:55 – Why disconnected data across ERP, marketing automation, e-commerce, and point software creates risk for distributors06:37 – Episode 198 begins: how Around the Horn connects the economy, supply chain, M&A, sales, marketing, AI, and robotics to wholesale distribution08:30 – LeadSmart's Meridian 360 Enterprise Growth Platform and the move from Smart CRM to broader business growth engines12:32 – Inflation cooling, gas prices, and why energy volatility still affects distributors, manufacturers, fertilizers, heavy minerals, and supply chains15:23 – Kevin Warsh, Fed measurement reviews, CPI, PPI, the 2% inflation target, and the need for more real-time data20:25 – Prediction markets, PolyMarket, Kalshi, and whether betting markets can offer useful economic signals27:17 – Strait of Hormuz risk, Iran, shipping disruption, oil exposure, the Suez Canal, Houthi rebels, and what it means for global supply chains43:02 – AI watchdogs, model testing, DeepMind, Fable, Mythos, and the role of government QA for high-powered AI systems48:38 – Human judgment in the age of AI, digital twins, job displacement fears, and why AI ROI depends on data readiness and realistic automation expectations56:00 – APR Supply's sales tool adoption gains and how better sales technology can support outside sales revenue growthTools, Frameworks, and Strategies Mentioned:LeadSmart TechnologiesMeridian 360 Enterprise Growth PlatformSales CompassSmart CRMSales Co-PilotAI Co-Pilot for SalesCRM-ERP IntegrationCRM Data Enrichment with AIHidden Revenue DetectionSales Automation Without Losing the Human TouchFuture-Proofing DistributionHybrid Selling ModelsConsultative CommerceData warehouses and data lakesMarketing automationE-commerce data integrationERP data unificationAI-enabled business intelligencePrediction marketsPolyMarketKalshiCPI and PPI measurement reviewsAI model QA and AI watchdog conceptsHuman judgment in AI strategyAPR Supply sales tool adoptionMaster of Distribution Management programClosing Insight:The episode's central message is clear: the future of distribution is not about buying more disconnected technology. It is about connecting data, people, process, and AI into a strategy that helps teams sell smarter, serve customers better, and make better decisions under uncertainty.Leave a Review: Help us grow by sharing your thoughts on the show.Learn more about the LeadSmart AI B2B Sales Platform: https://www.leadsmarttech.com/Join the conversation each week on LinkedIn Live.Want even more insight to the stories we discuss each week? Subscribe to the Around The Horn Newsletter.You can also hear the podcast and other excellent content on our YouTube Channel.Follow us on Facebook, Twitter, Instagram, or TikTok.

In this episode of Capital Hacking, we had the honor of hosting Peter Mielnik, a remarkable individual with an inspiring journey from the corporate world to ultra-marathon running and coaching. Peter shared his background, starting from his blue-collar roots and his time as a wrestler at Penn State, to his impressive 24-year career at NVR, one of the most profitable home builders in the nation.We delved into Peter's transformative experiences, including his decision to leave his corporate job to pursue a life of greater impact and fulfilment. He emphasized the importance of vision and commitment, explaining how he reverse-engineers his goals into actionable steps. Peter also discussed his incredible achievement of running a 100-mile ultra-marathon, which he undertook to raise funds for the Open Way Foundation, a charity supporting orphaned youths in Nepal.Throughout our conversation, Peter highlighted the significance of accountability and personal ownership in achieving one's goals. He shared practical tools, such as journaling and creating a "manifest" of important tasks, to help listeners hold themselves accountable and measure their progress.Chapters:00:00:00 - Introduction to the Episode and Guest00:01:14 - Peter Mielnik's Background and Journey00:02:22 - Transition from Wrestling to Home Building00:03:26 - Achievements at NVR and Financial Milestones00:04:32 - The Decision to Leave NVR and Pursue Coaching00:05:41 - Supporting the Open Way Foundation and Charity Work00:08:01 - Highlights from the Copper Kings 100 Ultra Marathon00:12:26 - The Importance of Vision and Accountability in Life00:20:11 - Tools for Self-Accountability and Journaling Techniques00:25:48 - How to Connect with Peter MielnikConnect with Peter: https://www.linkedin.com/in/peter-mielnik-0a87324/  Learn More About Accountable Equity:  Visit Us: http://www.accountableequity.com/   Access eBook: https://accountableequity.com/case-study/#registerTurn your unique talent into capital and achieve the life you were destined to live. Join our community!We believe that Capital is more than just Cash. In fact, Human Capital always comes first before the accumulation of Financial Capital. We explore the best, most efficient, high-integrity ways of raising capital (Human & Financial). We want our listeners to use their personal human capital to empower the growth of their financial capital. Together we are stronger.LinkedinFacebookInstagramApple PodcastSpotify

What happens when your next customer is represented by an AI agent that can research products, compare prices, evaluate suppliers, negotiate terms, and make purchasing decisions? In this episode of Tech Talks Daily, I speak with Ian Kahn, Partner and Customer and Commercial Excellence Platform Leader at PwC, about the rise of the Intelligent Customer Edge and why companies need to rethink how they sell, market, price, serve customers, and compete as artificial intelligence changes the buying process. Much of the enterprise AI conversation has focused on helping employees become more productive. Ian argues that this overlooks a much bigger change already taking place. Customers are using AI to research products, compare alternatives, evaluate pricing, and make decisions. In some consumer and business markets, AI agents are already being given permission to make routine purchases. Companies are no longer selling only to people. They increasingly need to serve customers whose AI agents expect accurate product information, transparent pricing, availability, service history, and performance data that can be discovered, verified, and understood by machines. This creates a serious problem for companies operating with fragmented front offices. Marketing, sales, pricing, commerce, and customer service have traditionally operated as separate functions, each with its own technology, data, processes, incentives, and performance measures. Customers do not experience companies through those internal structures. They expect consistent information and relevant experiences across the entire relationship. Ian explains why adding AI to each department independently will not solve this problem. Companies risk making existing processes faster without improving the customer experience or business performance. Instead, he argues that leaders need to reconsider the operating model behind the entire customer journey. The Intelligent Customer Edge is PwC's approach to bringing these commercial functions together into a connected system centered on the customer. Powered by proprietary company data and AI, the system can continuously learn from customer interactions, support real-time decisions, and help companies respond to changing customer needs. We also discuss the idea of the commercial brain and why proprietary data could become one of the most valuable competitive advantages available to companies adopting AI. Most businesses already possess customer records, transaction histories, operational information, market signals, service interactions, and other data their competitors cannot access. Yet much of that information remains fragmented across systems and departments. Ian explains how connecting these sources can create an intelligence layer that informs pricing decisions, marketing activity, sales opportunities, service interactions, and the moments that matter throughout the customer relationship. For CEOs, chief customer officers, marketing leaders, sales executives, CIOs, and technology teams, the conversation offers an important lesson about AI transformation. The companies achieving meaningful results are not starting with the technology. They begin with customer outcomes and redesign the work, decisions, workflows, and operating models required to achieve them. Human judgment remains an important part of that model. AI can process large amounts of information, identify patterns, provide recommendations, and handle routine tasks consistently. People continue to bring judgment, creativity, empathy, relationship-building, and strategic decision-making to customer interactions where trust and context matter. Ian argues that the goal is not to choose between people and AI. Companies need to design customer systems that use the strengths of both, determining where automation can improve speed and consistency and where people can create greater customer and commercial value. Trust, governance, explainability, and accountability also become more important as AI agents are given greater authority. Rather than treating guardrails as barriers to adoption, Ian explains why companies should design controls into AI-enabled customer processes from the beginning. The conversation also examines the cost of waiting. Customers are already adopting AI, and businesses that continue relying on fragmented front-office operations risk falling behind competitors capable of responding faster, providing better information, and creating more relevant customer experiences. Ian offers practical advice for companies deciding where to begin. Start with the customer journey. Understand how customer behavior is changing, identify where friction exists, determine how AI could improve the experience, and establish clear measures for customer outcomes and business value before investing heavily in new technology. For business and technology leaders under pressure to deliver growth, improve margins, control costs, and demonstrate returns from AI investment, this conversation provides a practical framework for redesigning the front office, using proprietary data more effectively, preparing for AI agents as buyers, and creating better customer experiences. Your customers are already using AI. Some AI agents are already making purchasing decisions. The question for companies is whether their customer systems, data, commercial models, and operating structures are ready to compete for business when the buyer on the other side of the transaction is no longer always human.

Reflections from host Sarah Olivieri ... The Power Of Shared Infrastructure There is a quiet assumption baked into how most nonprofits operate. If you need something, you build it yourself. Need a fundraising event, plan one. Need HR, handle it in-house. Need systems, cobble them together. The nonprofit shared infrastructure that could carry all of this rarely enters the conversation, because the default is to go it alone. I understand where the instinct comes from. Nonprofits are scrappy by necessity. Budgets are tight, and doing it yourself feels like the responsible, frugal choice. But there is a hidden cost to building everything from scratch, and it shows up in the same place every time. Your team's time. Your leadership's attention. The liability nobody was watching. The event that ate six months of staff capacity to net twelve thousand dollars. When an organization tries to be its own event company, its own HR department, and its own back office all at once, it is running several businesses it never meant to start. And none of them get the focus they need to be excellent. I've been thinking about this lately I recently had a conversation about exactly this with Bob Burbridge, founder of the Battle Green Run Foundation and a longtime leader in the HR world. He built something that lets small nonprofits plug into infrastructure they could never build on their own, and that changes what is possible for them. Running An event is a business, not a fundraiser Here is the thing most nonprofits underestimate. A run, a walk, a gala, a conference. These are not fundraisers you tack onto your year. Each one is a whole business, with its own logistics, systems, vendors, permits, marketing, and expertise. Bob's foundation exists to run one road race well. Twelve board members. A website that handles all the fees. Relationships with sixty local restaurants. Decades of accumulated knowledge about how to actually pull it off. That is what it takes to do an event at a level where the numbers work. Now picture a small nonprofit deciding to launch its own 5K to raise money. Same permits. Same logistics. Same insurance. Same marketing. Except now it is being done by two staff members who already have full-time jobs, learning it all for the first time, for an event that might clear ten thousand dollars if everything goes right. The math rarely favors building your own event from zero. The work is enormous and the expertise is real, and both are invisible until you are standing in the middle of them. Before any organization takes on an event, it helps to ask a hard question. Are we prepared to run this like the business it actually is? If the honest answer is no, that is worth knowing before you commit a year of your team's life to it. Shared infrastructure changes the math This is where Bob's model gets interesting, because it solves the problem from a completely different direction. Instead of each nonprofit building its own event, one organization builds the event infrastructure once, and many nonprofits plug into it. A small nonprofit brings a team of runners. They raise money through a website that already exists, run by people who already know what they are doing, with fees already covered. When the race is over, the proceeds come to them. They got the full benefit of a professionally run event without having to become an event company to get it. He built the same thing in his professional life through the professional employer model, where small businesses pool together so they can access group health plans, HR expertise, and compliance support that no single small employer could afford alone. The logic is identical. Specialized infrastructure is expensive to build and cheap to share. When you pool it, small organizations get access to a level of capability that would otherwise be completely out of reach. One line from that conversation has stayed with me: "We become a platform for these nonprofits to raise money on their own. We pay all the fees, and then when the race is over and our bills are paid, we take all that's left and share it with all the teams." What I appreciate about this framing is that it explains the mechanism. The value is not that Bob's group is generous, though they are. The value is structural. One entity absorbs the fixed cost and the expertise, and many organizations draw on it. That is leverage, and it is available far more often than nonprofits assume, if they stop defaulting to building alone. Some things should never be built in-house The same principle applies to the least glamorous part of running an organization. Human resources. Bob spent decades in the HR world, and his advice was direct. For most small nonprofits with paid staff, HR is not something to handle yourself. The regulations span fifty states and the federal government. The liability is real. And the power imbalance, when something goes wrong, is enormous. I know this one personally. Years ago I had an employee in another state and I had done everything correctly. New York State decided otherwise and started sending me fines that climbed toward thirty thousand dollars. I had to hire a lawyer. I spent many hours on paperwork. In the end I was right, I had done nothing wrong, and it still cost me thousands of dollars and a mountain of time. The lawyers on the other side had resources my small organization simply did not. Being in the right was not enough to make it painless. That is the kind of risk that lives quietly inside "we'll just handle it ourselves." HR compliance is specialized work, and specialized work is exactly the kind of thing that benefits from shared infrastructure. When it starts eating too much of your time, or when the liability is more than you can responsibly carry, that is the signal to bring in people who do it for a living. Community is the return most events forget to count There is one more piece of Bob's model worth naming, because it reframes what an event is even for. When you make an event a real community experience, the money is not the only return. The nonprofits at Bob's race network with each other. Startups learn from organizations that have been around for decades. Runners come back year after year because it feels like something, not just a transaction. The Minutemen fire a volley. A buffet from sixty restaurants. Families showing up to help. That community is an asset, and it compounds in a way a check never will. The fortune in fundraising is in the follow up, and an event that builds real relationships gives you something to follow up about. I had such a good time with you. Would you like to come tour our facility. Those conversations are where major gifts and lasting support actually come from, and they only exist if the event was built to create connection, not just to collect donations. Giving days and one-click donations have their place. But an experience people participate in creates relationships, and relationships are the quiet engine underneath every organization that fundraises well. What this makes possible When a leader sees this clearly, the pressure to build everything shifts. The question stops being how do we pull off our own event, our own HR, our own everything, and becomes what infrastructure already exists that we could plug into instead. That question opens doors. It means a small organization can access a professionally run event without becoming an event company. It means HR risk can be shared instead of shouldered alone. It means leadership attention goes to the mission, not to running four accidental businesses at once. The work does not disappear. It gets focused. And focus, applied to the few things only your organization can do, is what separates the nonprofits that thrive from the ones that stay stuck doing everything themselves. The bottom line This is not about doing less. It is about not building alone what someone has already built. Nonprofits can run excellent events. They can protect themselves from risk they cannot afford. They can grow without becoming experts at everything. Not by shouldering every function themselves, but by plugging into the infrastructure that is already there. About the Guest Bob Burbridge is a lifelong Lexington resident, community leader, and accomplished business executive with decades of service in both the nonprofit and human resources sectors. He is the founder and former CEO of Genesis HR Solutions, which he led from 1991 to 2023, growing it into one of New England's largest accredited professional employer organizations. Deeply committed to his community, Bob has held numerous leadership roles, including Chair of the Lexington Housing Assistance Board, Director of the Battlegreen Run Foundation, and founder of the Genesis Community Fund. His extensive civic involvement spans local government, youth athletics, and charitable initiatives, earning him honors such as Lexington's White Tricorne Hat Award. Throughout his career, Bob has also been a prominent figure in the HR industry, serving as President of the National Association of Professional Employer Organizations and helping shape key legislation across New England.   Connect with Bob: Facebook:https://www.facebook.com/profile.php?id=100093515606579     Instagram:https://www.instagram.com/battlegreenrunfoundation/?hl=en Be sure to subscribe to Inspired Nonprofit Leadership so that you don't miss a single episode, and while you're at it, won't you take a moment to write a short review and rate our show? It would be greatly appreciated! Let us know the topics or questions you would like to hear about in a future episode. You can do that and follow us on LinkedIn.

Accounts payable has produced multiple billion-dollar companies, yet its mirror image, accounts receivable, remains almost entirely manual at most enterprises despite decades of software spend. In this episode, Caitlin Leksana, co-founder and CEO of Fazeshift, explains why AR has remained unsolved and how her company's AI agents are changing that. A mechanical engineer turned BCG consultant turned founder, Caitlin came to the problem the hard way, doing her own AR by hand at a previous startup, and her outsider's view of a stubborn back-office chore is exactly what makes the conversation worth your time.What We CoveredA million AR analysts doing manual work in the USWhy accounts payable got solved and AR did notThe leverage imbalance between AP and AR departmentsThe swivel chair problem and fragmented data$200 million in unapplied cash on one balance sheetFazeshift as a context layer, not a rip-and-replaceWhy traditional SaaS and if-then logic could never scale ARThe collections, cash application, and AR inbox modulesHuman in the loop and building trust when AI touches moneyTraining agents on historical data and tribal knowledgeFrom Y Combinator to a Series A led by F-PrimeThe vision for the context layer and autonomous financeKey TakeawaysAR is the inverse of AP, and every bill is someone else's invoice, so the market is at least as large and mostly uncaptured.The real unlock is not the AI model but unifying fragmented data across the ERP, bank, CRM, and inbox into a single context layer.Human in the loop with full auditability is what earns risk-averse finance teams' trust, and it is how agents move toward full automation over time.Some of the best unsolved startup problems are the ones furthest removed from an engineer, because no one with the tools to fix them ever felt the pain.About Caitlin LeksanaCaitlin Leksana is the co-founder and CEO of Fazeshift, a San Francisco startup building AI agents for accounts receivable. She earned bachelor's and master's degrees in mechanical engineering from Georgia Tech, advised Fortune 500 companies at BCG, and earned her MBA at Harvard Business School before founding a crypto marketing startup and then Fazeshift. The company went through Y Combinator's Summer 2024 batch, raised a $4M seed led by Gradient Ventures, and announced a Series A led by F-Prime in 2026.Connect with Fintech One-on-One:Tweet me @PeterRentonConnect with me on LinkedInFind previous Fintech One-on-One episodes

Send us Fan MailHe walked away from the pulpit because the stress would not let his body rest, then spent the next two decades staring straight at humanity's darkest corners. I'm joined by Eric Robinson, newly retired after 24 years in the FBI, to talk about resilience that's earned, not posted. Eric shares how carrying other people's pain as a solo pastor led to daily headaches, and why choosing a new path was a mental health decision as much as a career move.From there, we trace his unusual transition into federal law enforcement, including how the post 9-11 environment and his background shaped the Bureau's interest. We also get real about maturity and judgment in high-stakes work: what experience gives you, why authenticity matters with first responders, and how a “mask” culture can quietly grind people down.Then we go deeper into the cases that leave a mark: sex trafficking, exploitation, gangs, and the challenge of staying compassionate without being naive. Eric explains why justice can't depend on a “perfect victim,” and he tells a moment from Chicago that re-centered him fast when a kid he judged as a nuisance asked for help getting home. We close with a look at how he approaches interviews and interrogations by building connection and psychological safety to get the truth, not to perform anger.If you care about first responder mental health, trauma-informed leadership, and real-world resilience skills, hit play, then subscribe, share this with a teammate, and leave a review so more people can find the show.Please reach Eric through his website at http://www.preachertobreacher.comDeemedFit: First Responder OwnedWe are a first responder owned company looking to get first responders in the best mental shape.Disclaimer: This post contains affiliate links. If you make a purchase, I may receive a commission at no extra cost to you.Support the showYouTube Channel For The Podcast

The official story on Charlie Kirk's murder is collapsing under its own lies. Since September 10, 2025, the government, Turning Point USA handlers, court system, law enforcement, and their media propagandists have run a massive cover-up.   Courtroom witnesses Brandi Siciliani and Billy Webb just exposed Jack Posobiec, Benny Johnson, and the Epstein binder gate crew for lying about 4K HD footage of Tyler Robinson taking the shot. This kangaroo court is collapsing, the public is the real jury, and controlled opposition is getting caught pushing the fake narrative.   Celebrate freedom while we still have it. Become an annual member of the Stew Peters Locals community and receive $17 OFF for a limited time. Your membership includes: • Exclusive members-only content • Live chats and community discussions • Behind-the-scenes access • Directly supporting independent, uncensored journalism. Don't wait, his special ends July 31.

The men and women of ICE don't spend their days pulling over soccer moms on the way to practice. They're hunting some of the most dangerous people in America. Gang members. Drug traffickers. Human smugglers. Criminal illegal aliens who have no business being in this country. Now, after a few deadly ICE involved shootings, the agency is pausing vehicle stops. That's the wrong move. These are highly trained federal agents who conduct thousands of vehicle stops each year. The overwhelming majority, virtually every single one, ends peacefully and professionally. But when you're chasing violent criminals, danger comes with the job. Evil doesn't surrender politely. If ICE backs away from proactive enforcement, who benefits? Not law abiding Americans. Not the victims of illegal alien crime. The only winners are the fugitives who now know they have one less reason to fear getting caught. You don't make America safer by telling law enforcement to stop enforcing the law. You make America more dangerous by giving criminals another opportunity to disappear. We're going to explain why this policy sends exactly the wrong message, why it emboldens those here illegally, and why America cannot afford to let politics dictate how our immigration laws are enforced. Today's Sponsors The Maverick Systemhttps://TheMaverickSystem.com Patriot Mobilehttps://PatriotMobile.com/Grant The Wellness Companyhttps://TWC.Health/GrantPromo Code: GRANT (10% Off) Lost Soldier Oil & Gashttps://LostSoldier.comSee omnystudio.com/listener for privacy information.

In this episode, nutritionist and entrepreneur David Arguez shares his journey from working in Chinese medicine to founding a nutrition resource center. He discusses practical frameworks for sustainable health, weight loss, and managing nutrition for busy entrepreneurs."Losing one pound a week is a healthy, sustainable goal."00:00 — Introduction to nutrition for busy executives00:58 — David's mission: realistic nutrition that fits real life02:17 — Why David became an entrepreneur06:13 — Building trust without a big brand behind you08:31 — Hiring, firing, and finding the right people11:27 — How David helps clients lose weight with a math-based approach13:36 — The best way to track nutrition15:27 — Why progress should be gradual, not extreme20:30 — The entrepreneur David would sit down with23:35 — Where to find David online"Tracking our body composition is key to success."Other Takeaways*Math-based weight loss methodology*Human judgment and experience are irreplaceable in hiring and decision-making.*Importance of tracking and data in nutrition*Challenges of building a personal brand in health*Balancing work and health as an entrepreneur*The role of government policies in nutrition transparency*Understanding body composition and baseline metabolic rate is crucial.*Human judgment and experience are irreplaceable in hiring and decision-making.Send us Fan Mail Support the showRemember to subscribe for the next episode. Show Sponsor: ComingAlive PodcastProduction.com (Download your Podcast Launch Checklist for only $1 here)Music Credits: Copyright Free Music from Adventure by MusicbyAden.

Well, the world just got the best news in years — Zionist war criminal and degenerate pervert Lindsey Graham is dead at 71, and America is already a better place without this treasonous piece of filth. This pedophile traitor spent his worthless life as Israel's whore in the Senate pushing our kids to die for them, and now his buddies in Tel Aviv are using his death to drag us deeper into their bloodbath. Fort Huachuca image search data from the Tucson/Sierra Vista area reveals a clear pattern no one can explain away. High-level figures from DIA, CENTCOM, NSWC Crane weapons/tech programs, and Charlie Kirk's own security and comms team were all being visually identified by base personnel in the weeks and days leading directly into September 9, 2025 — the day before Charlie Kirk was assassinated.   Celebrate freedom while we still have it. Become an annual member of the Stew Peters Locals community and receive $17 OFF for a limited time. Your membership includes: • Exclusive members-only content • Live chats and community discussions • Behind-the-scenes access • Directly supporting independent, uncensored journalism. Don't wait, his special ends July 31.

Welcome to a special scripture-focused bonus episode of the Jesus Calling Podcast, where we think about the concept of the Trinity—the Father, the Son, and the Holy Spirit—and what their presence and purpose means to each of our individual lives. Pastor, author, and speaker Timothy Jones helps us contemplate this relational view, and how the communing of God, Jesus, and the Holy Spirit brings a new level of intimacy and belovedness to each of us. Links, Products, and Resources Mentioned: Jesus Calling Podcast Jesus Calling Jesus Always Jesus Listens Timothy Jones Fully Beloved Interview Quotes: “I found that knowing God as Father, Son, and Spirit warms our view of God. There’s a real tenderness here, and that surprises some people.” - Timothy Jones “I see in the three-person portrait of God a wonderful invitation to know all three in more intimate ways, to realize how God comes close to give us help for our everyday life.” - Timothy Jones “Before humankind even appeared on the scene, God was already busy relating. It makes sense that God, already full of love and communing, would create.” - Timothy Jones “God is not some aloof, distant being. This is not some deity who can’t understand what it means to be in an intimate relationship.” - Timothy Jones “Because God has shown us this picture of God the Father, the Son, and the Holy Spirit, we glimpse a delight that grows out of a communion that’s already at play between the three persons of the Trinity.” - Timothy Jones “We’re all searching for a more lasting love, something that’s reliable, sturdy, dependable, and abundant. This is what I see in the picture of the Trinity. Because of all this relational depth, it’s not intimidating as much as it is life-changing.” - Timothy Jones “Human tenderness alone cannot satisfy our deepest longings. What I’m seeing here [in the Trinity] can heighten our anticipation for a life with God, a relationally richer life.” - Timothy Jones “God cares about our daily worries, about the hardest things that happen to us, whether we’re loved and valued.” - Timothy Jones “The early church spoke of the Trinity not merely as doctrine, but as something that could take a lifetime of exploring and pondering, and could deepen and enrich our worship in wonderful ways.” - Timothy Jones ________________________ Connect with Jesus Calling Instagram Facebook Twitter Pinterest YouTube Website TikTok *Episode produced by Four Eyes Media* Discover more Christian podcasts at lifeaudio.com and inquire about advertising opportunities at lifeaudio.com/contact-us.

175 Jessica Avery – Manitoba, Canada Jessica Avery from Manitoba Conservation Officer Service joins Wayne at the North American Game Warden Museum to talk about her career, life as a conservation officer in Manitoba, serving on the museum's board of directors, and some of the incredible places game wardens patrol in northern Canada. From winter road caribou patrols and -60C mornings to fish poaching stakeouts and wildfire deployments, Jessica shares what makes conservation work in Manitoba both challenging and rewarding. Our Sponsors: Thin Green Line Podcast Don Noyes Chevrolet North American Game Warden Museum Hunt Regs WiseEye SecureIt Gun Storage XS Sights “A Cowboy in the Woods” Book Iron Skillet Seasonings Maine Operation Game Thief New Hampshire Operation Game Thief Conservation Officers of Pennsylvania North East Conservation Law Enforcement Chiefs Association International Wildlife Crimestoppers North American Wildlife Enforcement Officers Association Here's what we discuss:  Jessica explains the Manitoba Conservation Officer Service and how the agency has evolved over the years  Her role as Canadian Treasurer for the North American Game Warden Museum  The unique international location of the museum  Why the museum is a "pilgrimage" destination for game wardens  Starting as a seasonal conservation officer in Manitoba  How Manitoba still offers one of the few seasonal conservation officer programs in Canada  Growing up in Saskatchewan, calling Alberta home, and building a career in Manitoba  “I'm really lucky to get to go all those places and do that kind of stuff.”  Patrolling Manitoba's remote northern wilderness  Fly-in caribou patrols and winter road enforcement  Common caribou hunting violations officers encounter  Working alongside northern Indigenous communities  Staying in remote bush camps and nurse barracks  Northern lights and untouched wilderness in Manitoba's far north  Waking up to temperatures around -60C (-76F)  Trucks refusing to start in extreme cold  “We were just not as prepared as we probably should have been for those temperatures.”  Using helicopters and float planes to reach remote areas  Conservation officers' role in wildfire operations  Long fire assignments and burnout challenges  Supporting firefighters with logistics and supplies  Why Manitoba has experienced severe wildfire conditions  Human-caused fires versus lightning-caused fires  Deep-burning peat and bog fires that can survive winter  Being part of a game warden family  Why so many Manitoba conservation officers meet their spouses through the job  Managing a long-distance conservation officer relationship  Building a family while advancing both careers  Moving from field work into headquarters leadership roles  Life on Manitoba's endless prairie road system  Jessica's favorite game warden story: a winter walleye-poaching stakeout  Surveillance in -45° temperatures  Trying not to sound like a “bull in a china shop” while sneaking into position  Catching poachers who had been using the same spot for years  “They were shocked.”  How consistent enforcement led to voluntary compliance  The value of the North American Game Warden Museum  Learning from other law enforcement museums across North America  The surprising success and size of the Game Warden Museum  “It's just such a great career, great lifestyle.”  “I can't imagine doing anything else with my life other than being a game warden.” Credits Hosts: Wayne Saunders and John Nores Producer: Jay Ammann Warden's Watch logo & Design: Ashley Hannett Research / Content Coordinator: Stacey DesRoches Subscribe: Apple Podcasts Spotify Amazon Google Waypoint Stitcher TuneIn Megaphone Find More Here: Website Warden's Watch / TGL Store Facebook Facebook Fan Page Instagram Threads YouTube RSS Learn more about your ad choices. Visit megaphone.fm/adchoices

It's Episode 24 of Season 24. Enter the dark waters of the Cape Fear River as we present tales good efforts gone bad."Spiral" by Gail Maitland (Story starts around 00:03:30)TRIGGER WARNING!Produced by Jeff ClementCast: Narrator - Mike DelGaudio, Allie - Sarah Ruth Thomas, DoctorRuckus - Atticus Jackson, anniexiety - Ilana Charnelle, TwitchyPete - Dan Zappulla, AdventColander - James Cleveland, BoingBoingBoobies - Jeff Clement, NewCatSmell - Nichole Goodnight, hearthealthhannah - Jessica McEvoy, MelanoMama - Wafiyyah White, lambshark - Matthew Bradford, fancyafoot - Jake Benson, Actual Doctor - Mary Murphy"Tire Thumper" by Joe Prosit (Story starts around 00:29:55)TRIGGER WARNING!Produced by Phil MichalskiCast: Narrator - Linsay Rousseau"East Marion" by Ryan Marie Ketterer (Story starts around 00:56:25)TRIGGER WARNING!Produced by Phil MichalskiCast: Narrator - Jesse Cornett, Martha Moore - Nichole Goodnight, Cathy Jackson - Wafiyyah White, Delia Owens - Mary Murphy, Waitress - Erin Lillis, Mark Moore - Dan Zappulla, Charles Jackson - Matthew Bradford, Ray Owens - Jeff Clement, Mayor Samuel Lewis - David Cummings"The Silent Bell" by David Haynes (Story starts around 01:08:20)TRIGGER WARNING!Produced by Claudius MooreCast: Doctor Gough - Andy Cresswell, Mr. Hughes - David Ault, Lady Asquith - Penny Scott-Andrews, Lord Asquith - James Cleveland, Monroe - Jake Benson, Student - Erika Sanderson, Emma - Ash Millman"Replanter" by Parker McIntosh (Story starts around 01:38:00)TRIGGER WARNING!Produced by Jesse CornettCast: Narrator - Graham Rowat, Henrietta - Erin LillisThis episode is sponsored by:Betterhelp - This episode is sponsored by BetterHelp. Take a step towards a better you. Our listeners get 10% off their first month at betterhelp.com/nosleep.DripDrop - Take hydration seriously with DripDrop's award-winning taste and doctor-developed electrolyte powder. Trusted by the best! Get 20% off your first order by using promo code NOSLEEP at dripdrop.comMint Mobile - Ditch overpriced wireless with Mint Mobileís deal and get premium wireless service for 15 bucks a month. Cut your wireless bill to 15 bucks a month at mintmobile.com/nosleepClick here to learn more about The NoSleep Podcast teamClick here to learn more about Joe PrositClick here to learn more about Ryan Marie KettererCheck out our NEW MERCH! Executive Producer & Host: David CummingsMusical score composed by: Brandon Boone"The Silent Bell" illustration courtesy of Alia SynesthesiaThe NoSleep Podcast is Human-made for Human Minds. No generative AI is used in any aspect of work.Audio program ©2026 - Creative Reason Media - The copyrights for each story are held by the respective authors. No duplication or reproduction of this audio program is permitted without the written consent of Creative Reason Media. No part of this audio program may be used or reproduced in any manner for the purpose of training artificial intelligence technologies or systems. All rights reserved.

All of this week's episodes of It Could Happen Here put together in one large file. Palestine in the World Cup What's Wrong with Human Rights What's Wrong with Human Rights, Pt. 2 A Report from the Great American State Fair Executive Disorder: Platner Allegations, Return of the Tariffs, ICE Shootings You can now listen to all Cool Zone Media shows, 100% ad-free through the Cooler Zone Media subscription, available exclusively on Apple Podcasts. So, open your Apple Podcasts app, search for “Cooler Zone Media” and subscribe today! http://apple.co/coolerzone Sources/Links: Palestine in the World Cup https://jewishcurrents.org/de-normalizing-israeli-normalization-at-the-world-cup https://agsi.org/analysis/palestine-activism-in-the-world-cup/ https://www.aljazeera.com/video/newsfeed/2026/6/12/activists-form-human-palestine-flag-at-world-cup-opener-in-mexico-city https://www.nbcnewyork.com/world-cup/palestinian-head-soccer-says-denied-us-visa-attend-world-cup/6512472/ https://www.middleeasteye.net/trending/bosnia-advances-world-cup-free-palestine-chants-fans-go-viral-once-again https://www.aljazeera.com/features/2026/6/22/football-war-and-solidarity-why-gaza-fans-turned-to-spain-this-world-cup https://www.aljazeera.com/sports/2026/6/12/palestine-football-chief-says-he-wasnt-granted-us-visa-to-attend-world-cup What's Wrong with Human Rights Human Rights as Moral Progress? A Critique by Jarett ZigonCULTURAL ANTHROPOLOGY, Vol. 28, Issue 4, pp. 716–736. ISSN 0886-7356, online ISSN 1548-1360. C 2013 by the American Anthropological Association. All rights reserved. DOI: 10.1111/cuan.12034 Agamben, Arendt and Human Rights: Bearing Witness to the Human. 2012John Lechte & Saul NewmanState of Exception. 2005Giorgio Agamben, translated by Kevin Attell The Need for Roots: Prelude to a Declaration of Duties Towards Mankind Simone Weil. Routledge Classics 2002 Philosophize This! - Episode #191: The Modern Day Concentration Camp and the Failure of Human Rights by Stephen West Executive Disorder: Platner’s Allegations, Return of the Tariffs, ICE Shootings https://www.aljazeera.com/news/liveblog/2026/7/3/iran-war-live-tehran-slams-us-ahead-of-huge-funeral-for-ali-khamenei?update=4731595 https://thehill.com/homenews/senate/5955865-mitch-mcconnell-senate-health-status/ https://www.cnn.com/2026/07/06/us/graham-platner-racicot-allegation-maine-invs https://www.politico.com/news/2026/07/06/graham-platner-sexual-assault-allegation-00987737 https://x.com/akela_lacy/status/2074604814810415293?s=20 https://x.com/grace_panetta/status/2074266651244073227?s=20 https://www.nytimes.com/2026/07/06/us/politics/who-would-replace-graham-platner-maine.html https://x.com/sahilkapur/status/2074678417006420067 https://www.bangordailynews.com/2026/07/08/politics/elections/maine-democrats-want-convention-replace-graham-platner/ https://ustr.gov/about/policy-offices/press-office/press-releases/2026/june/ustr-makes-findings-and-proposes-action-60-section-301-investigations-relating-failures-take-action https://thediplomat.com/2026/06/asean-and-trumps-section-301-tariffs/ https://www.reuters.com/business/latin-american-countries-some-steelmakers-argue-us-tariff-exemptions-2026-07-07/ https://www.congress.gov/crs_external_products/IF/PDF/IF11346/IF11346.31.pdf https://www.yahoo.com/news/politics/articles/democratic-attorneys-general-oppose-latest-172500930.html https://www.msn.com/en-in/news/other/fresh-trump-tariff-threat-looms-what-is-india-s-strong-stand-on-us-section-301-probe-that-proposes-12-5-duties-explained/ar-AA27rLMq https://www.msn.com/en-ca/money/general/canada-says-there-s-no-basis-for-trump-s-forced-labour-tariffs/ar-AA27sMJy https://www.reuters.com/world/french-lawmakers-back-police-shootings-law-dubbed-licence-kill-by-critics-2026-07-08/ https://www.citizen.org/wp-content/uploads/Complaint-in-IALDF-v.-Rubio.pdf https://www.cnn.com/2026/07/07/us/houston-ice-shooting-death https://www.reuters.com/world/americas/fatal-ice-shooting-houston-sparks-demands-transparency-independent-investigation-2026-07-08/ https://www.nytimes.com/2026/07/08/us/houston-ice-shooting.html https://www.wgal.com/article/pa-harrisburg-ice-agent-shoots-video/71807714 https://www.cnn.com/2026/07/04/us/live-news/july-4-trump-speech-america-250?post-id=cmr792ght00053b6r6tl4lvzn https://www.cnn.com/2026/07/04/us/live-news/july-4-trump-speech-america-250?post-id=cmr78t2tf000e3b6rxm0jppbj https://www.npr.org/2026/07/04/g-s1-132025/mount-rushmore-speech-trump-july-4-250See omnystudio.com/listener for privacy information.