Podcasts about Concept

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In this episode Ed interviews Dr. Emily Bick of the University of Wisconsin Madison. They discuss the work of Emily's lab with regards to the insect eavesdropper project. Tune in to learn how we can listen to insects inside of plants and how it might help farmers. Additional Resources https://www.bicklab.com/home https://www.npr.org/2024/09/02/nx-s1-5096781/short-wave-insect-eavesdropper   Time Stamps 00:42 Introduction to Insect Eavesdropper 03:42 Emily's Journey into Entomology 06:33 Understanding Digital Entomology 09:18 The Concept of Insect Eavesdropper 12:24 Mechanics of Listening to Plants 15:21 The Technology Behind Insect Detection 18:06 Machine Learning in Insect Sound Identification 21:02 Practical Applications and Future Directions 39:46 Understanding Plant Sounds and Insect Detection 44:06 The Role of Technology in Pest Management 47:21 Future Applications of Insect Eavesdropping 53:31 Challenges and Opportunities in Data Collection 58:39 Vision for the Future of Pest Management 01:06:55 The Future of Digital Entomology 01:12:32 Communicating the Value of Insect Eavesdropping   Zaworski, E. (Host) and Bick, E. (Interviewee). S5:E16 (Podcast). Bugging the Bugs: Inside the Insect Eavesdropper. 9/2/2026. In I See Dead Plants. Crop Protection Network.   Transcript

Heidi Lee serves as a stake communication director in the Mountain's Edge area of Southwest Las Vegas, as well as in the Las Vegas West Mission office. Over the past 20 years, her Church service has including serving in four stake Relief Society presidencies as secretary, counselor, and president. Her wide-ranging calling experience spans serving as a Stake JustServe Specialist, Young Women presidency member, ward camp director, Relief Society teacher, and Primary music leader. Most recently, Heidi served as the lead organizer for “A Walk with Jesus,” a multi-stake Easter walkthrough event that coordinated four neighboring stakes, numerous committees, and auxiliary leaders to transform a local chapel into interactive displays depicting the Savior's life and resurrection. A devoted stay-at-home mother, Heidi and her husband raised four children and now love spending time with their 16 grandchildren. In her personal time, she enjoys temple service and deep, lifelong gospel study. Links leadingsaints.org/fullpond A Walk With Jesus: Master Replication Guide Bible & Easter videos Read the tag comments Facebook: A Walk With Jesus – Southwest Las Vegas Instagram @walkwithjesusswlv Email Heidi Lee at heidillee@me.com YouTube: Southwest Las Vegas 2026 Walk with Jesus YouTube: Northwest Las Vegas 2025 Walk with Jesus YouTube: Northwest Las Vegas 2026 Walk with Jesus Highlights Heidi Lee talks about the successful initiative called “A Walk with Jesus,” which transformed a Latter-day Saint chapel into an immersive experience depicting the life of Jesus Christ. The project aimed to enhance the celebration of Easter and foster community engagement. Key Insights Community Engagement: The initiative was inspired by a desire to create a more significant Easter celebration, moving beyond traditional services to involve the broader community. Collaborative Effort: The project involved multiple stakes working together, with each stake contributing resources and leadership to create a unified experience. Interactive Experience: The chapel was transformed into various rooms representing key events in Jesus’s life, allowing participants to engage with the stories through self-guided tours and interactive displays. Youth Involvement: Local youth played a crucial role, participating in the event by dressing in costumes and helping facilitate the experience, which provided them with service hours and a sense of ownership. Feedback Mechanism: A comment wall was implemented to gather participant reflections, highlighting the spiritual impact of the experience and fostering a sense of connection to Christ. Financial Planning: The project was funded through contributions from each stake, with careful budgeting and community donations to cover costs, demonstrating the importance of financial stewardship in church projects. Leadership Applications Fostering Collaboration: Latter-day Saint leaders can encourage collaboration among different wards and stakes to create larger community events, enhancing unity and shared purpose. Engaging Youth: Involving youth in meaningful ways can empower them and strengthen their connection to church activities, making them feel valued and engaged. Creating Immersive Experiences: Leaders can consider how to transform traditional church events into more interactive and engaging experiences that resonate with members and the community, ultimately deepening faith and understanding of gospel principles. 00:05:01 – Introduction to Heidi Lee 00:05:34 – Origin of the Walk with Jesus Project 00:06:42 – Concept of Transforming the Chapel 00:08:52 – Initial Thoughts and Inspiration 00:10:06 – Mission Statement Development 00:12:55 – Organizing Stake Participation 00:15:14 – Role of Decorators and Committees 00:17:42 – Event Timeline and Structure 00:19:45 – Room Themes and Experiences 00:20:38 – Evening Concerts and Adjustments 00:22:59 – Visual Examples of the Event 00:23:10 – Chapel Usage and Event Flow 00:25:37 – Sunday Operations and Attendance 00:28:30 – Community Involvement and Outreach 00:30:59 – Youth Involvement and Costumes 00:32:13 – Red String Keepsake Initiative 00:34:00 – Managing Finances and Budget 00:37:12 – Donations and Support 00:40:42 – Lessons Learned for Future Events 00:42:32 – Social Media and Marketing Strategies 00:44:32 – Comment Wall and Feedback 00:46:33 – Event Impact and Attendance Growth 00:48:14 – Reflections on the Experience 00:50:17 – Addressing Questions and Future Planning The award-winning Leading Saints Podcast is one of the top independent Latter-day Saints podcasts as part of nonprofit Leading Saints’ mission to help Latter-day Saints be better prepared to lead. Find Leadership Tools, Courses, and Community for Latter-day Saint leaders in the Zion Lab community. Learn more and listen to any of the past episodes for free at LeadingSaints.org. Past guests include Emily Belle Freeman, David Butler, Hank Smith, John Bytheway, Reyna and Elena Aburto, Liz Wiseman, Stephen M. R. Covey, Benjamin Hardy, Elder Alvin F. Meredith III, Julie Beck, Brad Wilcox, Jody Moore, Tony Overbay, John H. Groberg, Elaine Dalton, Tad R. Callister, Lynn G. Robbins, J. Devn Cornish, Bonnie Oscarson, Dennis B. Neuenschwander, Kirby Heyborne, Taysom Hill, Coaches Jennifer Rockwood and Brandon Doman, Anthony Sweat, John Hilton III, Barbara Morgan Gardner, Blair Hodges, Whitney Johnson, Ryan Gottfredson, Greg McKeown, Ganel-Lyn Condie, Michael Goodman, Wendy Ulrich, Richard Ostler, and many more in over 800 episodes. Discover podcasts, articles, virtual conferences, and live events related to callings such as the bishopric, Relief Society, elders quorum, Primary, youth leadership, stake leadership, ward mission, ward council, young adults, ministering, and teaching.

Show SummaryOn today's episode, we're having a conversation with Registered Nurse, Military Spouse, and Workforce Development Advocate Tracy Steele, founder of Community Cultivator, an organization dedicated to strengthening well-being, belonging, and career stability for military spouses through community connection and professional developmentEpisode Partner:Our sponsor this week is Aetna, a trusted health care company, committed to serving Veterans, military families, and caregivers through meaningful, community-centered care. Provide FeedbackAs a dedicated member of the audience, we would like to hear from you. If you PsychArmor has helped you learn, grow, and support those who've served and those who care for them, we would appreciate hearing your story. Please follow this link to share how PsychArmor has helped you in your service journey Share PsychArmor StoriesAbout Today's GuestCommunity Cultivator was founded by Tracy Steele, SPHR, CPRW — a longtime military spouse, workforce development leader, and advocate for military spouse employment and community connection.​After more than two decades navigating military life, Tracy experienced firsthand the challenge of constantly rebuilding career momentum, professional networks, and community with every move. Through strategic volunteering, networking, and workforce development leadership, she became passionate about helping military spouses recognize their value and confidently pursue meaningful opportunities.But she realized military spouses needed more than job resources alone. They needed connection, belonging, and access to opportunities that could grow with them wherever military life led next.​So she built Community Cultivator.​What started as a vision in San Diego is growing into a nationwide movement helping military spouses build stronger careers, deeper connections, and lasting opportunities together.Links Mentioned During the EpisodeCommunity Cultivator WebsiteForeign Born Military Spouse NetworkSugar Bear Foundation WebsitePsychArmor Resource of the WeekThis week's PsychArmor Resource of the Week is the PsychArmor course 15 Reasons to Hire a Military Spouse. As an employer, you are looking for untapped talent pools. One talent pool that can be overlooked is the diverse and highly educated group of military spouses. Take this course to learn the top 15 Reasons to Hire a Military Spouse. You can find the resource here: https://learn.psycharmor.org/courses/15-Reasons-to-Hire-a-Military-Spouse Contact Us and Join Us on Social Media Email PsychArmorPsychArmor on XPsychArmor on FacebookPsychArmor on YouTubePsychArmor on LinkedInPsychArmor on InstagramTheme MusicOur theme music Don't Kill the Messenger was written and performed by Navy Veteran Jerry Maniscalco, in cooperation with Operation Encore, a non profit committed to supporting singer/songwriter and musicians across the military and Veteran communities.Producer and Host Duane France is a retired Army Noncommissioned Officer, combat veteran, and clinical mental health counselor for service members, veterans, and their families.  You can find more about the work that he is doing at www.veteranmentalhealth.com  

How can we know anything? Are we just stuck in our own heads, never actually interacting with the physical world? Or are we just material, and what we think is knowledge is actually just the results of chemical reactions? Find out as we discuss Fr. Garrigou-Lagrange's Thomistic view of knowledge, in which the knower, in a way, becomes something other than himself!Follow us on X!Give us your opinions here!

Jonny, and Joel cover the latest bug fixes in Minecraft 26.3 Snapshot 10, discuss new gameplay footage for Minecraft Dungeons II coming out of GamesCom, and break down how they approach translating concept art into Minecraft builds.Show notes for The Spawn Chunks are here:https://thespawnchunks.com/2026/08/31/the-spawn-chunks-417-from-concept-to-concrete/Join The Spawn Chunks Discord community!https://Patreon.com/TheSpawnChunksThe Spawn Chunks YouTube:https://youtube.com/thespawnchunks Hosted on Acast. See acast.com/privacy for more information.

Characters are the lifeblood of TTRPGs, without them, there is no game, and most importantly, characters are what make a TTRPG game actually good. But does that mean all you need is some kind of Joe to play? Not reallyCharacter Concepts are the Outline of your character, they're a phrase, an image, something that really sparks that idea of the character for not just you, but mainly you! But how do we come up with good concepts? Or more directly, what makes a concept for a D&D Character even good?Check here for all further information:You can find us on the Web under these Links: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.doubledm.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://bsky.app/profile/doubledm.bsky.socialhttps://www.instagram.com/doubledmpod/?hl=de⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://ko-fi.com/doubledm⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠If you want to reach out to us via E-Mail use: doubledmpod@gmail.comOur Midroll Music is"Midnight Tale" Kevin MacLeod (incompetech.com)Licensed under Creative Commons: By Attribution 4.0 License ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://creativecommons.org/licenses/by/4.0/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Our Outro Music is"Ascending the Vale" Kevin MacLeod (imcompetech.com)Licensed under Creative Commons: By Attribution 4.0 License ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://creativecommons.org/licenses/by/4.0/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Hosted on Acast. See acast.com/privacy for more information.

In this episode of For Zion's Sake, hosts Shelly and June Volk explore the biblical foundation of spiritual rebirth, focusing on the shift from Adam's transgression to the grace offered through Jesus Christ. Key Takeaways Contrast Between Adam and Christ: Examines how condemnation entered the world through one man's disobedience (Adam), whereas justification and eternal life come through the righteousness and obedience of Jesus. The Concept of Kainos: Highlights the Greek origin of "newness" (kainos), defining it not as mere self-improvement or moral adjustment, but as a complete transformation in form, quality, and character. Freedom from Sin: Discusses how believers are dead to sin and alive in Christ, transitioning from being bound by old desires to living under the guidance of the Holy Spirit as "slaves of righteousness." Putting On the New Self: Emphasizes laying aside the old nature, renewing the mind, and walking daily according to God's truth and path rather than self-reliance. Scripture Links Romans 5:18–21: Justification through Christ overriding the condemnation from Adam. Romans 6:1–4, 11, 18: Dying to sin, walking in newness of life, and becoming servants of righteousness. 2 Corinthians 5:17: Becoming a new creation in Christ. Hebrews 3:1–2: Looking to Jesus, the apostle and high priest of our confession. Ephesians 4:22–24: Laying aside the old self and putting on the new self created in righteousness. John 14:6: Jesus as the way, the truth, and the life. Psalm 25:4–5: Asking the Lord to reveal His ways and teach His paths. Support the show: https://shellyandjunevolk.com/product/partner-with-us-psalm-127-fund/See omnystudio.com/listener for privacy information.

Interviewer: MIRANDA EDITH SKLAROFF. Historian and theorist SUSAN STRYKER joins the Andrea Mitchell Center to discuss her new book, Changing Gender: The History and Future of a Concept, and the histories and politics that shape how gender is understood. The conversation explores the contemporary politics of trans rights, the relationship between trans liberation and feminism, and Stryker's account of gender as a system of social and linguistic classification. Drawing on histories of anthropology, cybernetics, psychedelic science, and her own experience, Stryker considers how gender has been constructed and how it might be imagined differently.

Welcome to episode #1051 of Thinking With Mitch Joel (formerly Six Pixels of Separation). Dr. Sebastian Wernicke has built his career at the intersection of data science, artificial intelligence, economics, and decision-making. He leads the Data Science and AI team at Oxera, one of Europe's leading economics consultancies, and has become widely recognized for his ability to make complex ideas about data both accessible and deeply human. Many people first encountered Sebastian through his memorable TED Talk, which cleverly used data to satirize TED Talks themselves, but his work has always been driven by a much bigger question: how can organizations use data to challenge assumptions instead of reinforcing them? His new book, Data Inspired - Building An Organizational Culture Of Inquiry For Lasting Transformation, argues that businesses have become too focused on being "data-driven" and not focused enough on becoming "data-inspired." In this episode, Sebastian explains why more data doesn't automatically lead to better decisions, why confirmation bias often causes us to use data to strengthen existing beliefs, and why the greatest value of data lies not in optimization but in transformation. We also discuss the promises and disappointments of big data, the rise of generative AI, synthetic data, AI agents, and why the hardest challenge facing organizations isn't technological... it's cultural. Along the way, Sebastian makes a compelling case that leadership is ultimately about designing environments where people are encouraged to ask better questions, embrace uncertainty, and use evidence to change their minds rather than defend them. It is a thoughtful conversation about data, intelligence, curiosity, and why the organizations that thrive in the AI era will be the ones that build cultures of inquiry instead of cultures of certainty. Enjoy the conversation... Running time: 57:16. Hello from beautiful Montreal. Listen and subscribe over at Apple Podcasts. Listen and subscribe over at Spotify. Please visit and leave comments on the blog - Thinking With Mitch Joel. Feel free to connect to me directly on LinkedIn. Check out ThinkersOne. Here is my conversation with Dr. Sebastian Wernicke. Data Inspired - Building An Organizational Culture Of Inquiry For Lasting Transformation. Sebastian's viral TED Talk. Oxera. Follow Sebastian on LinkedIn. Chapters: (00:00) - Introduction to Sebastian Wernicke and Data Inspired. (02:52) - The Meta Nature of TED Talks and Storytelling. (06:12) - Confirmation Bias and Data Interpretation. (09:03) - The Limits of Data-Driven Decision Making. (12:10) - The Concept of Data Inspired. (14:58) - The Role of AI in Data Utilization. (18:07) - The Promise and Pitfalls of Big Data. (21:12) - Cultural Elements in Data Transformation. (24:02) - Trust in AI and Machine Learning. (26:52) - Human Nature and the Quest for Perfection. (29:30) - The Balance of Autonomy and Control in AI. (30:30) - The Rise of Synthetic Data. (32:00) - Skepticism Towards Synthetic Data. (34:54) - Exploring Personas and Assumptions. (37:40) - The Role of Data in Decision Making. (39:27) - The Complexity of Uncertainty in Business. (41:52) - Rethinking Intelligence and Creativity. (46:54) - Building Beautiful Questions with Data. (51:30) - Navigating the Data Dilemma. (54:46) - Cultural Attitudes Towards Privacy and Surveillance.

Have you ever felt ashamed of a thought you'd never say out loud? In this episode of DarrenDaily On-Demand, Darren Hardy introduces a psychological concept discovered by Carl Jung that explains why even the most admired figures in history wrestled with dark, hidden impulses they never fully escaped. He shares surprising confessions from Mother Teresa and other revered leaders, then tells a parable about a gatekeeper who learns the hard way that being seen accurately isn't the same as being judged fairly. Darren breaks down what actually matters when your inner thoughts don't match the person you want to be, and why chasing the elimination of your darker side is the wrong goal entirely. Get more personal mentoring from Darren each day. Go to DarrenDaily at http://darrendaily.com/join to learn more.

Show SummaryOn today's episode, we're having a conversation with Navy Veteran Dr. Erik Won, President and Chief Medical Officer of Wave Neuroscience, an organization utilizing advanced neuroimaging and magnetic resonance therapy to help veterans recover from post-traumatic stress. DisclaimerThis podcast is for informational and educational purposes only and does not establish a doctor-patient relationship. The views and opinions expressed by the guest are entirely his own and do not reflect the views, policies, or official positions of his employer or company. Content is not intended to substitute for professional medical advice, diagnosis, or treatment.  Wave supplies MeRT to licensed clinics who provide treatment to patients. Talk to your physician to see if MeRT is right for you. Episode Partner:Our sponsor this week is Aetna, a trusted health care company, committed to serving Veterans, military families, and caregivers through meaningful, community-centered care. Provide FeedbackAs a dedicated member of the audience, we would like to hear from you. If you PsychArmor has helped you learn, grow, and support those who've served and those who care for them, we would appreciate hearing your story. Please follow this link to share how PsychArmor has helped you in your service journey Share PsychArmor StoriesAbout Today's GuestDr. Erik Won is President and Chief Medical Officer of Wave Neuroscience, Inc; a biotechnology company that has innovated breakthrough technologies called Magnetic e-Resonance Therapy (MeRT) and Synchronized Transcranial Magnetic Stimulation (sTMS). MeRT recently received FDA Breakthrough Technology designation and FDA clearance for Post-Traumatic Stress Disorders. These approaches utilize computational neuroanalytics and brain imaging to customize treatment protocols with the aim of restoring optimal neurological function.These modalities represent a form of precision-guided medicine that has been researched or is currently being used by premier institutions such as US Special Operations Command, Stanford University School of Medicine, Duke University - Human Performance Opti-Lab, University of Southern California (USC) Center for Neurorestoration, the University of California Los Angeles (UCLA) - David Geffen School of Medicine, University of Pennsylvania, Brown University, Air Force Research Laboratory, and the Texas A&M Institute for Bioscience and Technology.Erik joined Wave Neuroscience after serving as the Chief Physician and Chief Technology Officer (Health Services) for the Boeing Company. He also served as a US Navy Flight Surgeon for Marine Medium Helicopter Squadron 268, and received the distinction of serving as the ACE Flight Surgeon for the 11th Marine Expeditionary Unit, 1st Marine Expeditionary Force. Dr. Won has been published in numerous peer-reviewed journals, textbooks, and presented in numerous academic conferences. He completed his residency at the Harvard OEM combined residency program and was appointed Chief Resident. He received a Masters in Public Health (MPH) from the Harvard School of Public Health and Masters in Business Administrations (MBA) from the University of Southern California, Marshall School of BusinessLinks Mentioned During the EpisodeWave Neuroscience WebsiteBrain Treatment Center WebsitePsychArmor Resource of the WeekThis week's PsychArmor Resource of the Week is the PsychArmor course Brain Health & Wellness Learning Series – PTSD. Nearly everyone goes through a traumatic event at least once during their lifetime. Military service members and Veterans are especially vulnerable to the lasting effects of post-traumatic stress due to the nature of their duties and experiences. While this can be a difficult diagnosis to navigate, it is treatable, and social support is one of the leading factors for lasting recovery. Having someone to trust and confide in while feeling heard and validated is a vital part of the healing process. This series on post-traumatic stress disorder explores the presentation and diagnosis of PTSD, its impact on both the Veterans you support and the lives of those around them, and effective treatment modalities, so you'll be better equipped to provide meaningful support. You can find the resource here: https://learn.psycharmor.org/courses/WWP-BHW-PTSD Contact Us and Join Us on Social Media Email PsychArmorPsychArmor on XPsychArmor on FacebookPsychArmor on YouTubePsychArmor on LinkedInPsychArmor on InstagramTheme MusicOur theme music Don't Kill the Messenger was written and performed by Navy Veteran Jerry Maniscalco, in cooperation with Operation Encore, a non profit committed to supporting singer/songwriter and musicians across the military and Veteran communities.Producer and Host Duane France is a retired Army Noncommissioned Officer, combat veteran, and clinical mental health counselor for service members, veterans, and their families.  You can find more about the work that he is doing at www.veteranmentalhealth.com  

In this episode, I have the pleasure of speaking with Andy Mort. I think you will appreciate his wisdom, poetic way with words and sense of humor. Andy is a UK-based songwriter and musician whose work as a creativity coach explores the intersection of high sensitivity, creativity, and the influence of culture.Aside from sharing some of our own experiences with high sensitivity and gentle rebellion, we discuss various ways those of us with high sensitivity (as described by Elaine Aaron) might better align with our nature. We also discuss:* 00:00 — High Sensitivity and Its Misconceptions* 01:54 — The Concept of Differential Susceptibility and Environmental Impact* 03:47 — Andy Mort's Journey Into Understanding Temperament and Sensitivity* 07:05 — The Discovery of the Highly Sensitive Person Trait and Its Biological Roots* 09:58 — The Idea of Being a Gentle Rebel and Leading With Authenticity* 14:51 — The Importance of Creating Supportive Environments for Sensitive People* 19:47 — Creativity as a Form of Self-Expression and Nervous System Regulation* 25:07 — The Role of Sensitivity in Leadership and Group Dynamics* 29:58 — The Challenges and Opportunities of Sharing Creative Work* 34:46 — The Societal Narratives Around Sensitivity and Self-Acceptance* 39:57 — The Importance of Community and Support for Sensitive Individuals* 45:06 — The Concept of Gentle Rebellion and Aligning With One's Nature* 49:45 — Closing Thoughts on Sensitivity, Creativity, and LeadershipFull transcript included belowWhere to find Andy Mort:*

In The Loop takes a bigger-picture look at the Texans and what could ultimately make this team a championship contender. After seeing encouraging signs from the offense throughout training camp — including a dominant showing against Carolina — ITL asks how much better Houston really is when you factor in the one concept they believe could be the key to winning a championship. The crew then opens the floor for another edition of ITL Lunch-Time Confessions before wrapping up the hour with Buy or Sell, debating some of the biggest sports questions and storylines of the day.

ITL discusses the one concept they believe could take the Texans to another level and asks how much better Houston can be if it becomes a consistent part of their identity.

Jade and I discuss new music from Wayv's album, Vision Wings, their M/V and how happy we are to see their Chinese culture brought to light in their title track. We then talk about concept photos from both SF9 and Monsta X, the latter of which brings up the discussion about the use of AI in K-Pop. If Monsta X has used it before in their promos, us fans have never seen it or caught it as blatantly as it was used in The Phase album promo content. Many fans, including Jade and I felt disappointed. AI might be prolific and here to stay, but creative realms that are created and curated by real people should stay human, not AI. It's a slippery slope. Artists should think twice about the harm it can cause and whether they would want AI music to take their place.

Do you feel like God's mad at you or that you aren't good enough or you would have been healed by now?  God is a loving parent and not a vindictive one.  In this episode, Michelle shares the one thing that you can reframe to gain freedom from the things that steal your peace and time when it comes to your trauma. THERAPY WITH MICHELLE Have you been looking for a Trauma-Informed Therapist who is also a Christian?  Do you want to honor your faith even in your therapy?  Would you love to incorporate deep healing in a way that aligns with God's Word and evidence-based treatments for trauma healing?   I offer THERAPY INTENSIVES which help you to go deeper and with faster results than weekly therapy can provide.  Learn more at: www.emdrpittsburgh.com. For a Free Consultation Call:   If you would like to see about working with me in an EMDR Intensive, you can schedule a free 15 minute consultation call so that we can get to know each other and see if I am a good match for your therapy needs.  Go to www.calendly.com/michellecroyle to connect with me.   FACEBOOK COMMUNITY: Join our free Facebook Community For Encouragement and Support: CLICK HERE   FREE RESOURCE: If this episode resonated, you might be interested in my free resource.   I created a free, faith-honoring guide that gently explains how healing happens in the body and why you're not failing.  Free Trauma Healing Resource Guide *All content is for informational and educational purposes only and is not to be considered professional counseling.  If you need professional therapy, please seek it out, and if you are in immediate danger, please contact emergency services near you.

Riana Malia shares her journey of overcoming challenges, finding clarity, and creating a life of purpose and fulfillment. She emphasizes the importance of clearing old patterns, integrating new beliefs, and embodying a new frequency of being. The conversation delves into the transformative power of quantum healing, the impact of emotional trauma on the body, and the importance of self-worth and values in women's healing journeys. It also explores the concept of extraordinary love and the role of self-awareness in personal growth.TakeawaysClarity is essential for creating the life you desireClearing old patterns and integrating new beliefs is crucial for personal transformation Quantum healing and energy work have a profound impact on emotional trauma and physical well-being.The journey to healing and self-discovery involves understanding self-worth, values, and the concept of extraordinary love.Chapters00:00 The Journey to Clarity03:05 Overcoming Adversity11:25 The Power of Clearing and Creating13:22 Releasing Energetic Weight22:11 Reverse Engineering Goals25:28 Quantum Healing and Emotional Trauma26:24 The Power of Self-Worth and Values28:00 The Journey to Healing and Self-Discovery30:10 The Concept of Extraordinary Love and Self-AwarenessFind your transformation with Riana MaliaRiana MaliaBoard-Certified Integrative Neurosomatic PractitionerIdentity Architect for High-Achieving Womeninfo@rianamalia.comwww.rianamalia.comWhat's standing between you and extraordinary love? → Take the ELIInstagram Facebook LinkedIn YouTube  SubstackFor support with hormones, metabolism, breast health, digestion, and whole-body wellness, visit DanaIrvine.com and book a Health Clarity Call.Subscribe to the Wise Divine Women Podcast, leave a review, and share this episode with a woman who is ready to stop fighting her body and start understanding it.

RADIO PIRATE FREE édition du 25 août 2026 avec ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jeff⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Fillion⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ et sa gang! ________________________________________ 0min00 - Une guerre de mots, de déclarations et d'insultes fusent dans le dossier de l'entente commerciale annulée entre les USA et le Canada. Jeff⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ explique avec ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Gerry⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ et MisterWhite⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. (Partie 1) ________________________________________ 15min58 - ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Une guerre de mots, de déclarations et d'insultes fusent dans le dossier de l'entente commerciale annulée entre les USA et le Canada. ⁠Jeff⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ explique avec ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Gerry⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ et ⁠MisterWhite⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. (Partie 2) _______________________________________ 35min33- ⁠⁠⁠⁠⁠⁠⁠Réjean Tremblay se joint à ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Jeff⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Gerry⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ et tous les Pirates pour un podcast sur tout ce qui touche l'actualité, le sport, les médias, la politique, le showbizz, la philosophie, l'histoire, les voyages, la vie et tout le reste. _______________________________________ Le Podcast avec Réjean est une présentation de Pavés Concept. https://pavesconcept.ca/ _______________________________________ 55min36 - ⁠⁠⁠⁠⁠⁠⁠⁠⁠Gerry⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ boursicote en nous racontant toute sorte d'histoires reliées à une panoplie de sujets reliés à la bourse.⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠_________________________________________ Substack du Gerry ici https://gerrypizza.substack.com/ ⁠_________________________________________ Le Boursicotage avec Gerry est une présentation du Groupe VR 185, le concessionnaire de VR complice de vos vacances depuis plus de 30 ans. https://groupevr185.com/ _______________________________________ Pour plus de 3h30 de contenu PRIME de RADIOPIRATE par jour, abonnez-vous ici https://radiopirateprime.supercast.com/ _______________________________________ Learn more about your ad choices. Visit megaphone.fm/adchoices

-Browns TE Dae'Quan Wright suited up on Saturday for a preseason NFL game (Browns/Bills), and at the same time was in the transferportal for college football, looking to get one more big paycheck in the college ranks before going to where he already is-Browns head coach Todd Monken said in a press conference, “Ain't this s*** crazy? I mean, I don't even know what to say tohim”…which is the proper thing to say probably-Would Nebraska consider adding players like this for this upcoming season…as we're already through Fall camp mostly? And where isDiego Pavia in all of this?Advertising Inquiries: https://redcircle.com/brandsPrivacy & Opt-Out: https://redcircle.com/privacy

(0:00) Intro(0:30) Aaj ka Taleem Yafta Mutakabbir Insan(3:26) Insan ki Zimmedari(4:46) Concept of Growth Ratio(5:59) Reply to a Liberal Clip: Aurat ki Job (Today's Topic)(17:01) Mufti Sahab ke Relative(18:45) English Songs vs Urdu) Poetry(21:07) Hindustani Khane + Angrezi Tehzeeb(22:05) New Generation(22:45) Maldar ki Khorak vs Ghareeb ki(24:40) Nature vs Modernism(26:41) Maldaron ki Khorak(27:25) Janwar ki Charbi ke Faide(29:40) Reply to Modern Women(Jo Khawateen Azadi Chahti Hain)(34:02) Pakistani Charsi(35:05) Comfort Zone Mein Rehne Wali Khawateen ko Jawab(38:17) Naam-Nihad Liberals ko Jawab(39:22) Talaq par Aitraaz Karne Wale Aik Liberal ko Jawab(40:31) 2 Tehzeebon ka Khatarnak Takrao(41:20) Isaiyat aur Yahudiyat(43:09) NGOs ka Propaganda(44:30) Islam ka Ghalba Isaiyat par(46:40) Saleebi Jangein(47:26) Islam ka Dawa(47:44) Isaiyat ka Zawal(49:09) Canada Mein New Muslim Dobara Atheist Kyun Bana?(50:05) Buzurgi ka Asal Mafhoom(52:32) Isai Padriyon ki Burai(Apne Liye aur Doosron ke Liye Mukhtalif Usool Rakhna)(52:44) Fatwa Likhne Mein Ehtiyat(53:40) Imam-e-Masjid ki Pehchan(55:30) Isaiyat ka Janaza(56:21) Islam ki Takkar ka Koi Mazhab Nahin(57:10) Islam ki Jang Ilhaad Se Hai(58:28) Mazhabi Pabandiyan vs Azadi-Pasand Insan(1:02:14) Ilhaad Se Larne ka Tariqa(1:02:56) Aurat ki Azadi ka Chooran(Islam Mein Aurat Ghulam Nahin)(1:09:23) Azadi ke Chooran Mein Fahashi ka Izafa(1:10:45) Job ke Naam par Aurat ki Azadi ki Haqeeqat(1:12:38) Female Doctor Banna?(1:13:45) Kisne Kya Banna Hai? Fitrat ka Faisla(1:15:29) Ilhaad ka Masla: Aurat ki Azadi(1:16:25) Mufti Sahab ka Analysis in Los Angeles(1:16:44) Mufti Sahab ka 40 Sala Shagird(1:17:27) Mufti Sahab ki Rehnumai Fitrat par(1:20:35) Walida ke Naam Ghar ki Milkiyat ka Masla(1:25:00) Mufti Sahab par Aitraazat(1:25:55) Qur'an ki Tilawat par Aitraaz(1:26:25) Makhloot Gym(1:30:09) Tahajjud ka Afzal Waqt?(1:30:13) Masla-e-Talaq-e-Salaas(1:30:45) Jamaat Se Namaz ka Sahih Tariqa?(1:32:15) Meeqat Se Makkah Jane Walon ke Liye Umrah ki Sharaait?(1:35:30) Islamic Banking(1:35:50) Office Mein Deeni Ehkam Batana(1:36:16) Lautane Wali Namaz(1:36:44) Company ka Insurance?(1:42:41) GP Fund(1:43:13) Adopted Bachay ki Waldiyat Badalna(1:43:42) Inteqal ke Baad Biwi ka Haq Mehr(1:44:46) Rukhsati Se Pehle Mehr(1:46:03) Seerah ki Best Book Hosted on Acast. See acast.com/privacy for more information.

Welcome to episode #1050 of Thinking With Mitch Joel (formerly Six Pixels of Separation). Fredric Marshall has spent decades helping people navigate change. An entrepreneur, investor in AI startups, CEO of Quantum Learning, and advisor on leadership and transformation, he has watched multiple waves of technological disruption unfold from the inside. His latest book, Thrive - The Antidote to Future Shock, revisits Alvin Toffler's famous concept of "future shock" and argues that today's anxiety isn't a personal failing... it's the predictable result of living through an era where change, information, and technological progress are arriving faster than most people can absorb. In this episode, Fred explores why the conversation about AI has become so emotionally charged, why younger generations feel a profound sense of uncertainty about their future, and why the real challenge isn't learning new tools... it's learning to direct our attention with intention. He explains why thriving requires more than technical skills, discussing the importance of agency, relationships, health, systems, and managing the growing tension between our digital and physical lives. The conversation also examines evidence-based optimism, the cultural backlash against AI, leadership in an era of disruption, and whether the pursuit of endless growth has reached its limits. Fred makes the case that while artificial intelligence will radically reshape work, the future belongs to people who can simplify complexity, think clearly, and consciously choose where to invest their attention. It's a thoughtful discussion about resilience, technology, and building a life that doesn't just survive change... but flourishes because of it. Enjoy the conversation... Running time: 59:29. Hello from beautiful Montreal. Listen and subscribe over at Apple Podcasts. Listen and subscribe over at Spotify. Please visit and leave comments on the blog - Thinking With Mitch Joel. Feel free to connect to me directly on LinkedIn. Check out ThinkersOne. Here is my conversation with Fredric Marshall. Thrive - The Antidote to Future Shock. Quantum Learnin. Follow Fred on Instagram. Follow Fred on LinkedIn. Chapters: (00:00) - Introduction to Future Shock. (05:57) - The Impact of Technology on Work and Life. (08:48) - The Concept of Thriving vs. Surviving. (12:04) - The Role of AI and Economic Disruption. (15:14) - Navigating the Digital Layer and Social Media. (18:09) - The Future of Work and Community. (20:56) - Addressing Youth Concerns and Uncertainty. (24:03) - The Balance of Digital and Analog Life. (26:51) - The Quest for Enough in a Technological World. (29:52) - The Madness of Constant Growth. (30:41) - Evidence-Based Optimism and Humanity's Response. (31:34) - Historical Progress and Modern Stressors. (33:10) - Dialing in Life: Eight Key Areas for Thriving. (36:09) - Understanding Agency in a Complex World. (39:51) - The Role of Environment in Personal Growth. (40:48) - Leadership in a Changing Landscape. (43:22) - Future Readiness and Cultural Shifts. (46:52) - Youth Perspectives on Agency and Change. (50:42) - Balancing Humanity and Efficiency in the Future. (57:41) - The Importance of Attention and Time Management.

From Sunday's message on Aug 23, 2026 at Covenant Word Church, Key West FL

There's a moment that comes for many of us, often when we're at our most frustrated, convinced the source of our pain lies out there. Then something shifts. We start to see the patterns, how we deflect, how we carry judgments about who we are that we never questioned. David Fiala, a licensed therapist with more than 35 years in private practice, joins host Avik to talk about why self-forgiveness may be the most powerful tool we have, how denial, projection, and blame quietly protect old childhood pain, and what it actually looks like to practice letting that pain go. About the Guest: David Fiala, MSSA, LISW-S, is a licensed clinical social worker with more than 35 years of experience as a therapist, mind-body healer, and teacher. He is the author of The Courageous Seeker: Release Emotional Pain, Master Your Mind, and Wake Up to Your Inner Warrior. Key Takeaways: Self-forgiveness isn't a feel-good idea, it's a daily practice, and what you put in is what you get out. Denial, projection, and blame usually start in childhood, when pain felt so overwhelming that pushing it down felt like the only option. If you don't address your pain, David says, it will eventually address you, often through what triggers you today. Replacing the word "stress" with what you're actually feeling, fear, sadness, or anger, gives you real power to work with it. A short nightly practice, visualizing yourself extending forgiveness to your own pain, can create real change over time, even if it takes years. Connect With the Guest: Website: http://www.mindyourego.com/  Book: The Courageous Seeker: Release Emotional Pain, Master Your Mind, and Wake Up to Your Inner Warrior Linkedin Facebook Episode Chapters: [00:00] The Moment We Stop Blaming and Start Looking Inward — the real question behind this episode [03:55] Self-Forgiveness as a Daily Practice, Not Just a Concept [13:51] Where Denial, Projection, and Blame Actually Come From [18:02] Why Unaddressed Pain Eventually "Addresses You" [24:17] Replacing "Stress" With What You're Really Feeling [28:04] Staying Grounded When Old Patterns Resurface [31:59] David's Advice: Remembering and Practicing Every Day (approx.)   Want to be a guest on Healthy Mind, Healthy Life? DM on PM - Send me a message on PodMatch DM Me Here: https://www.podmatch.com/hostdetailpreview/avik Disclaimer: This episode is produced for educational and informational purposes only. All views expressed by the guest are their personal opinions alone and do not represent the views of the host or Healthy Mind by Avik™. The Network does not verify, endorse, or assume responsibility for any guest statements. Nothing in this episode constitutes medical, legal, financial, or professional advice, please consult a qualified professional before making any decisions. Listeners are encouraged to engage critically and independently with all content do not consume blindly. Use this content as a starting point for your own reflection and research, not as a substitute for professional guidance. Third-party content is referenced under fair use for informational purposes only. Guest speakers are solely responsible for their own statements. If you have concerns about any content, please contact us here By listening, you acknowledge and accept this disclaimer in full. Read detailed disclaimer here. Healthy Mind By Avik™️is a global platform redefining mental health as a necessity, not a luxury. Born during the pandemic, it's become a sanctuary for healing, growth, and mindful living. Hosted by Avik Chakraborty, storyteller, survivor, and wellness advocate. With over 6500+ episodes and 200K+ global listeners, we unite voices, break stigma, and build a world where every story matters.

What is Complex PTSD (CPTSD), and how does it differ from traditional PTSD or Borderline Personality Disorder (BPD)? In this episode of Ask Kati Anything (Ep. 328), licensed therapist Kati Morton breaks down the ICD-11 diagnostic criteria for Complex PTSD, the impact of chronic emotional abuse and neglect, emotional flashbacks, and practical treatment modalities like TF-CBT, EMDR, and DBT. Thank you to OneSkin for sponsoring today's episode! Get 15% off OneSkin with the code KATI at https://www.oneskin.co/KATI TIMESTAMPS 00:00 - Introduction to Complex PTSD & ICD-11 Criteria 01:45 - What Makes PTSD "Complex"? (Judith Herman & Prolonged Trauma) 04:08 - Can Chronic Emotional Abuse, Neglect, or Bullying Cause CPTSD? 12:08 - Big "T" vs. Little "t" Traumas & Resilience 15:15 - Core Differences Between PTSD and Complex PTSD 18:54 - Emotional Dysregulation: Hyper-Arousal vs. Hypo-Arousal 23:20 - Why Trauma Triggers Make You Relive the Past 25:40 - Pete Walker's Concept of Emotional Flashbacks & Dissociation 29:30 - Negative Self-Concept, Shame & Externalizing Trauma 35:48 - How to Heal When There Was "Never a Before" 41:00 - Childhood Trauma vs. Adult CPTSD 43:30 - How Complex PTSD Affects Relationships & Trust 50:20 - Why We Isolate Even When Craving Connection 54:35 - Complex PTSD vs. Borderline Personality Disorder (BPD) 01:03:00 - What If Your Childhood Doesn't Feel "Traumatic"? 01:10:30 - Effective Treatments: Trauma-Focused CBT, EMDR & DBT 01:15:50 - What to Do If Trauma Therapy Isn't Working Instagram: https://www.instagram.com/katimorton Ask Kati Anything ep.328 | Your mental health podcast, with Kati Morton, LMFT MY BOOKS Why Do I Keep Doing This? https://geni.us/XoyLSQ Traumatized https://geni.us/Bfak0j Are u ok? https://geni.us/sva4iUY ONLINE THERAPY If you're looking for a therapist, BetterHelp can connect you with a licensed online professional: https://betterhelp.com/kati (enjoy 10% off your first month) This is an affiliate link, which means a portion of your signup helps support the podcast at no extra cost to you. PARTNERSHIPS Nick Freeman | nick@biglittlemedia.co Disclaimer: The information provided in this video is for educational and informational purposes only and is not intended as medical or mental health advice. It should not be used to diagnose or treat any health problem or disease. Always consult with a qualified healthcare professional for diagnosis and treatment. Viewing this content does not establish a therapist-client relationship. Learn more about your ad choices. Visit megaphone.fm/adchoices

When we first dicsussed the Summer of Simulative AI in 2024 we knew it would be a brief summer, but it has recently come back with a vengeance with SimGym in April and now Simile AI's $2B Series B, backed by GreenOaks and Index Ventures with prominent backers like Fei-Fei Li and Andrej Karpathy, running tens of millions of simulations for Fortune 100 clients like CVS and 85–99% accuracy vs human focus groups. Time to catch up on why this Second Summer of simulation is working!From creating Smallville, the landmark 2023 paper on Generative Agents that showed AI characters could remember, plan, socialize, and develop emergent behaviors, to now building foundation models of human behavior, Joon Sung Park is trying to answer a much bigger question: what if we could simulate the world before making decisions in it? In this episode, the Simile co-founder and CEO joins us to unpack the path from generative agents to digital twins, why today's frontier models still fail to capture how humans actually behave, and what it would take to eventually simulate all 8 billion people on Earth.We go deep on Simile's approach to modeling human behavior: long-form interviews, observational and transaction data, randomized controlled trials, population-level and individual-level models, and post-training on the causal mechanisms behind why people make decisions. Joon explains how his research created digital twins that reproduced human behavior and attitudes 85% as accurately as people reproduced their own responses, why models optimized to be rational can be bad simulations of irrational humans, and why understanding “social physics” may require changing model weights rather than simply prompting frontier LLMs.We also explore the much larger ambition behind simulation: testing products and policies before deploying them, finding counterintuitive paths toward desired outcomes, modeling emergent behavior across entire societies, and potentially tackling problems like climate change, democratic instability, and UBI. Joon reflects on scaling laws for simulation, the economics of data-center-scale simulated worlds, the connection to Thomas Schelling and psychohistory, why simulation is surprisingly similar to painting, and whether we might already be living in one.We discuss:* How Smallville and Generative Agents led to Simile* Why Joon's team asked: “What if we can just recreate the world that we live in?”* Why useful personal agents require deep models of their users* Memory architectures, Markdown files, and the limits of prompting* “Social physics” and behavioral foundation models* Why web data captures what people say more than what they actually do* Interviews, transactions, observational data, and randomized controlled trials* Why predicting the future matters less than understanding how to shape it* How Simile creates representative simulated populations* Simulation versus prediction and the connection to Foundation's psychohistory* How to evaluate simulations instead of simply stacking LLM hallucinations* Creating digital twins of 1,000 real people and reaching 85% behavioral accuracy* Why frontier models can struggle to reproduce real human behavior* Why good simulations need to reproduce human biases and mistakes* Post-training models on randomized controlled trials* Population-level versus individual-level simulation* Scaling laws for human simulation* The long-term ambition to simulate all 8 billion people on Earth* Whether simulations could help solve climate change or detect collapsing democracy* Thomas Schelling and the history of agent-based modeling* Why future simulations could require an entire data center* Multi-agent simulations and what happens when simulated people interact* Replacing expensive human panels with synthetic populations* Why market research is only the starting point for simulation* Why Joon sees simulation as surprisingly similar to painting* Using simulation to study questions like UBI* Whether we are already living in a simulation* Why AGI and simulation may be the twin technologies of advanced civilizationsJoon Sung Park* LinkedIn: https://www.linkedin.com/in/joonspark* X: https://x.com/joon_s_pk* Website: https://www.joonsungpark.com* Simile: https://www.simile.comTimestamps00:00:00 Introduction and Joon's Path from Art to AI00:01:46 Smallville, Generative Agents, and the Origins of Simulation00:05:03 “Let's Just Create a World” and the Future of Personal Agents00:09:53 Social Physics and Behavioral Foundation Models00:14:08 Prediction vs. Simulation: How Do You Shape the Future?00:16:59 How Simile Models Real People and Populations00:25:35 Evaluating Simulations, Digital Twins, and 85% Accuracy00:30:23 Post-Training Models to Reproduce Human Behavior00:40:04 Scaling Laws and Simulating 8 Billion People00:43:10 From Schelling to Society-Scale Agent Simulations00:46:13 The Cost and Economics of Simulating the World00:52:05 Real-World Use Cases, Synthetic Populations, and the Market00:57:27 The Future of Simulation, Painting, and UBI01:04:23 Are We Already Living in a Simulation?01:06:08 Building Simile and HiringTranscriptIntroduction: Joon Sung Park, Simile, and the Story So FarVibhu [00:00:00]: Today, we have Joon in the podcast. Excited to kick this one off. Very exciting company. I wanna kick off and ask you the question, talk us through the story of your life. How have you gotten here?Joon [00:00:13]: Yeah, for sure. I'm really excited to be here. A story of my life. So I was born in Korea, and I lived there for a good 11 years or so of my life, and then my family moved to Boston. So we moved when I was 11, and my parents were doctors, so they were going through their postdoctoral studies. My dad was a surgeon, so he was doing his sabbatical years at the Boston Children's Hospital. So I grew up there, not too close to tech. I was very much a music and artsy, painting kind of guy.Vibhu [00:00:49]: Painting.Joon [00:00:49]: Exactly. I got into painting a little bit later, in high school, but that's what I used to do. And then I grew up mostly in the East Coast after Korea. So I lived a good number of years in New Hampshire, and then I went to college in Pennsylvania. And I got into more of this tech scene, in college. So I was originally trained to be an artist. I thought that would be my professional career. So it wasn't a hobby. It was like, “Hey, let's make a living out of this.” And then gradually, I got really interested in this idea of, hey, the greatest artist often creates their own medium, and the best medium that we had available today was in computation. So I decided to go deeper into that, and one thing led to another, and we can go deeper into this, but I decided that research was something that I gradually got interested in, and here I am.Smallville, Generative Agents, and the 2023 Breakout PaperSwyx [00:01:46]: So there's a lot that you packed into the research components. You had one of the best papers of 2023, which was the generative agents paper, commonly known as the Smallville paper.Swyx [00:01:58]: Feel free to call back to anything else that you mentioned, but most people would have heard of you from this. Do you have any statistics on how many people have, like, read it? arXiv gives you something, right? Some stats.Joon [00:02:10]: Yeah, it's a good question. How many people have read it, I'm not sure.Joon [00:02:14]: I know we do keep track of citations, and they are going up quite fast.Swyx [00:02:23]: Yeah, Google Scholar has 7,200 citations.Vibhu [00:02:25]: I feel like it made a bigger hit than that, and it was a pretty instrumental paper. It got cited so many times.Swyx [00:02:34]: It is frequently the answer when people ask, “What is the best paper you've read recently?” It's this one.Vibhu [00:02:39]: I thought the memory component was pretty underrated. It was a very good early memory system, and one of the biggest papers.Foundation Models and the Search for Killer ApplicationsJoon [00:02:47]: Yeah, so maybe I can talk a little bit about how this particular paper came together. So when I got into research, it was back in 2020 when I started my PhD program at Stanford, and that was the year, when we were about to get GPT-3 to be available. So we already had GPT-2, and you could sense that there was this new class of models that was just becoming available in the market, and the team got very intrigued. And the general consensus was, “Well, is this model going to be useful for anything?” “It's really strange that these models are not trained to do any particular task.” But we decided to take a bet. So a large group of scholars at Stanford, and it was led by one of my co-founders, Percy Liang, and we came togetherSwyx [00:03:35]: Who coined foundation models.Joon [00:03:36]: Who coined the term foundation models. We wrote this paper, where that term came from called Opportunities and Risks of Foundation Models. And during that process, really the thing that I started to think deeply about was, here is a model that is fundamentally new in our ecosystem. The reason why this was new was it wasn't, again, trained to do anything in particular, but its premise was it could do anything and everything. It was like a stem cell, if you were to take a biology analogy. And I got really interested in this idea that, well, if we were to really think about what are the killer applications that this particular technology would enable, what would that be? Many of my colleagues were using this for simple classification, simple generations. Interesting that these models can do that, but from an interaction perspective, not that interesting. We've known how to do that for many decades. And what we came down to was these models are trained on this very broad data from the web, right? So these are human behavioral data. It's social media, Wikipedia, all these data. So if you poke at the right angle, then you could see human behavior that would just pop out that's quite realistic, and we've never seen that before.The Time Machine Game and Recreating the WorldJoon [00:04:45]: So that got us really interested. The exercise that we decided to do, with this particular group of colleagues, Michael Bernstein, Percy Liang, and myself, who ended up becoming my co-founder at Simile, we sat down and we played this game that we call the time machine game.Joon [00:05:03]: Imagine we were to get on a time machine and fast-forward 10 years and look back. What would have been the single application that will have mattered that would be the most interesting and inspiring? And when we thought, “Well, what if we can just recreate the world that we live in?” it's really hard to get more ambitious than that. Like, let's just create a world.Joon [00:05:24]: And that's where we started. And initially, we had this paper that was a precursor to the generative agents paper called Social Simulacra.Swyx [00:05:32]: Before you go further, were there other candidates for the most ambitious thing in the time machine exercise? What was number two or number three?Personal Agents, User Models, and Why Simulation Came FirstJoon [00:05:44]: There is a close second that we were considering, which ended up becoming more of these automation tools, especially the vision around really personalized agents that would do things for you.Swyx [00:05:59]: That's also happening.Joon [00:06:00]: It's also happening. But it was interesting for us, right, in that the reason why, we decided to go with the idea of simulation, one, I was a huge science fiction nerd, and this idea of creating simulation, I was personally really just fascinated. I loved the idea. It's really cool to see, like, a game town like this and just see these agents live in it. But at the same time, my bet was if you were to create a really amazing personal assistant out of this technology, what you need first is an amazing model of your users. So I told a model, “Hey, can you go buy late dinner for me?” And it orders Hawaiian pizza, and I do not like pineapples on my pizza. Then it totally failed. The way for it to not make that mistake is only by having a deep understanding of who I am. And I gave a very simple and dumb example here, but you can imagine how this core understanding of people is instrumental. This is how, if we have our family and closest friends, they have a good mental model of who we are. That's the basis of our social connection. So our bet also was this technology around simulation, creating accurate representation of people ought to precede the more complex agents that would automate the world that we live in. So that was the bet. But that was a very close second, and I'm still very much fascinated by it. I think there's a lot of interesting work that's going around. My hot take here, though, is I don't think we've seen a true personal assistant that's useful, in ways that meet the ambition of that particular line of work. I think there are early applications that are interesting, and if you talk to even ChatGPT nowadays or Claude, they know a lot about us. So a lot of the generation it's doing, I do think it's much more tailored, but I think the ambition is quite large in that field, and I don't think we quite have all the right ingredients just yet.Swyx [00:08:01]: So OpenClaw and these personal agents, what do you want to see from them that they don't currently have?Memory, Markdown, and the Limits of PromptingJoon [00:08:09]: I do think it's slowly getting there, but I do generally want them to have much deeper understanding of the person. Right now, you look at the models. OpenClaw, what it's leveraging is a Markdown file, and I think it's quite clever, right? So if you look at the generative agents paper, this was the same intuition that we had, where initially when we were creating the memory architecture for the generative agents, and, like, this is, like, back in 2022, so we didn't really quite have the idea of even agentive architecture or the term agent. But the intuition that we shared with some of the work that's coming out today was we initially thought, “Well, do we want to make the memory into, let's say, knowledge graph? Do we want to train a bespoke model?” All of these things. And what we decided to do was, “No. Just forget about all this.” These language models are quite good at modeling text and understanding and reasoning about text. So just put everything in a Markdown file or a text file. You're done. I thought that was quite interesting that we could do that, and there's a lot of strength in doing that. But also, there are limitations. It's the way you retrieve and make sense of data that's extremely large, it takes a lot of work. So I think that technology is getting better. I also do, however, think, there are certain things you just cannot shape just by prompting the model. So to some degree, you do need to touch the parameters of the model itself. So there is this work that I do think does need to happen, and it is happening. The question is, how far can we take it? How do we source data, and how do you also create an ecosystem where people are continuously feeding data to this model so it's learning about you?Vibhu [00:09:50]: What's the intuition between why you need to do it in the model?Social Physics and Behavior Foundation ModelsJoon [00:09:53]: My intuition behind the actual when do you train or even post-train a model versus just prompt a model is if the model has to learn the underlying physics of the world that it's operating in. So it has to learn new social physics. The places where it doesn't have to train are the places where it already has the physics. We trust the physics. It already has the base statistics, but it's just trying to react to an environment. Then I think you can just prompt your way into getting the actions out of it. I don't think the models that are out in the open have yet learned the complete mapping of social physics of humanity. This is one of the core theses of Simile, right? And one of the core reasons why that is the case is if you look at the data that the model was trained on, these models were trained on the web data, like, whatever was available on the web. And these are really interesting data sets, but they are fundamentally the self-exposed attitudinal data with some behavior data that's sprinkled around here and there. And it has yet to learn the really deep behavioral nature of people, not just what people say they do online, but what they do in real life. And this is one of what I would consider to be the dark knowledge of humanity that we haven't quite captured. And it's these data that would also need to get factored into the model creation.Vibhu [00:11:21]: You call it behavior foundation model.Vibhu [00:11:23]: There's a good one-liner here, but outside of that, what type of data do you need? What are you changing on the model level? How do you go about modeling, doing a behavior foundation model?The Three Data Buckets: Interviews, Behavior, and CausalityJoon [00:11:35]: We think about data in three buckets. So one bucket is interview data. It's quite interesting. Rich qualitative data is interesting. It's not behavioral, but we would literally ask people, “Hey, tell me the story of your life.”Vibhu [00:11:53]: It's just what we're doing here exactly.Joon [00:11:54]: The question that you all asked at the beginning of this interview literally is the question we also ask. And we ask our participants to go a little bit deeper, than how far I went. Maybe I can give more of my life story in lieu of this. But the reason why that data is interesting is by learning about this very long-tail information about people, you get a lot of texture around this model, like, this person as a model. So even understanding their childhood memory or even their trauma, their first love, these things, quite informative in ways that's really hard to predict. So that's one. Then there are two tranches of what I would consider to be the behavioral data. One kind of behavioral data is observational. So these might be like transaction data, or these might be data that you can get by scraping the web, right? So you can imagine why these data sets would be interesting, right, because they give you the base statistics of people's behavior.Joon [00:12:55]: But then there is the last category of data, that I personally think is perhaps the most important, which is the data that describes the causal mechanism, the whys of people. Some of this is covered by the interview data, the qualitative, because people talk about why they made certain decisions. But really, where you get to see the most behavioral aspect of this is in randomized controlled trials, like RCTs. Imagine you have the same setup, but you have a few different variables that you are trying to tweak. Can you get realistic human behavior out of it in ways where, imagine you had this particular option. Imagine you're even trying to choose whether you're going to drink coffee or not. The day you drink coffee versus the day you didn't drink coffee, does your behavior change? That's a data set that describes a causal mechanism. This is quite important in modeling people. The reason why this is important is oftentimes when people come to us, or not just to us, but the reason why people are interested in simulation isn't because they want to predict the future. If you're trying to win against the stock market, predicting the future is interesting.Prediction vs. Simulation: Shaping the FutureJoon [00:14:08]: But most people, most decision-makers, what they want to know is, how can we shape the future? It doesn't really help you to hear that your sales are going to tank in two quarters. They're just gonna say, “Wow, that sucks.” What they want to know is, well, what do we need to do now to avoid that future? That's the causal mechanism. And this is also very hard data to come by, right, because the world is our ground truth, but it happens once. So in a very controlled setup where everything is equal except for one variable, this kind of data set rarely happens. So this is a reason why this data set is both hard to come by and quite important if you're trying to model human behavior.Swyx [00:14:50]: So behavior, I think, is the hardest data set to acquire. What is out there? What is even possible? You're not going to know a lot of details about my life. I don't even have data for myself on my own health or habits, and I just don't log everything. So how can you have that data?Joon [00:15:14]: So we run a lot of randomized controlled trials.Swyx [00:15:17]: But you put people in the lab, they watch them sleep, or what?Joon [00:15:20]: We do care a lot about the consent process. People know that we invite them to be a member of this community to both share data and have themselves represented in different forms. But we bring a lot of people to the lab, or virtual lab, where we design experiments that would pose them real behavioral decisions. And often in these experimental setups, what makes the difference between what is attitudinal versus behavioral is whether the stake in your decision is real. That's ultimately what makes it behavioral. So in these setups, we are inspired by our colleagues in social sciences, psychology, and so forth. So when they run studies, the techniques they utilize is imagine there's an online store that you're inviting people to come by. Then whatever they purchase in this experiment, they actually get that item delivered. Like, these are the things that make the stakes real. So we run a lot of these experiments, and we also do partner with firms. Right now, we also have customers who are quite excited to at least give us a glimpse of the behaviors that their users exhibit so that we can get a little bit deeper understanding of how people behave in these different platforms.How Customers Use Simile: Populations, Queries, and ExperimentsVibhu [00:16:39]: I think on the customer side, they have a lot of data about their users, who has bought. They have the action data.Vibhu [00:16:47]: Can you walk us through an example of what someone comes to you for? What questions would they want solved? Do you customize a model for them? Do you have something off the shelf? What does that look like?Joon [00:16:59]: Today, when people leverage our models, it's often to better understand the population of their interest. So usually, the start of the relationship, we come together and hear about what population they want us to model, right? So it might be that if you're a CPG company that's selling to all of the US, then maybe it's fairly straightforward. You want to model the gen pop of the US. But at the same time, if there is a vertical or if there's a market that they're trying to go into, imagine, they want to better understand, let's say, people in their 20s and 30s living in California. That's a much more specific population. So we hear about this population, and we go recruit these people, with consent, and with incentives, and we collect some of their data and create a model of these people. Then what our product allows you to do is query them. So it can take as input a filter that is a description of the population that you want to talk to, just like the one I just mentioned, and an environment. The environment can literally be survey questions, behavioral experiments, It can be A/B testing. Oftentimes, the core use cases are things like concept testing, to start with. But also, people sometimes want to do focus groups or one of the fun use cases that we also serve is even modeling things like earnings calls for public companies.Joon [00:18:21]: So these are the use cases that we often start with.Swyx [00:18:23]: Concept testing, is that an established term? I've never heard of concept testing.Concept Testing, Gallup, and PoliticsJoon [00:18:27]: Yeah. So it has to do with they have, let's say, different messaging, different products, different ideas.Swyx [00:18:32]: It's like a marketing exercise.Swyx [00:18:33]: Okay, got it. Got it. Politics?Joon [00:18:36]: We do, have a strategic partnership with Gallup, and of course, Gallup is deep into policy space and so forth. Right now, we have not worked deeply with politics, like that area just yet, however.Swyx [00:18:49]: I'm curious if there is demand or if they really would have different needs that somehow fundamentally don't mix with your existing, users or people.Joon [00:19:00]: I think there's certainly demand.Joon [00:19:02]: But we are very much mindful of how this technology gets adopted and the societal impact that we'll end up having with this technology. And I do see politics as an area where a company has to be particularly thoughtful about the way they operate and make impact. So this is where we also want to make sure that we form enough of guardrail and perspective on how to leverage this technology before we go on to serve markets like the politics.Swyx [00:19:29]: I'll give people an example. one of my favorite shows is The West Wing. I don't know if people have watched.Swyx [00:19:34]: One of the key storylines is, like, the president has, multiple sclerosis, but they haven't. they need to figure out how to disclose it. So they run a poll with a fake governor and ask people to respond on the poll,Counterfactuals, Polling, and When Simulation Is UsefulSwyx [00:19:47]: They try to make decisions based on the results of that poll on, like, how well they'll be received, like where, how should we play this?Swyx [00:19:54]: And I'm like, well, I think those counterfactual things, I would use a simulation for this if I could trust it.Joon [00:20:01]: For sure.Joon [00:20:02]: In that show, how'd it go?Swyx [00:20:04]: In that show, it was, like a foregone conclusion. They were like, “We know it's bad. We just don't know how bad.” And then the poll came back. It was like, “It's really bad.” And then they just did it anyway.Joon [00:20:14]: Part of it is to show, right? So you're, you're looking at the ideaSwyx [00:20:17]: Maximizing drama.Joon [00:20:18]: How bad could it be? Oh, it's horrible.Swyx [00:20:20]: And to some extent, I think that is part of the trick of the, or the challenge or with being a customer of yours, which is that if I know it's. if I roughly know and can intuitSwyx [00:20:35]: What the effect is going to be, do I need you? What sensitivity of it, of effect do I need in order to make a decision, right? So for example, if I, my approval rating is 50%Swyx [00:20:48]: And I, they have this negative piece, news item comes out, and it drops to 30.Swyx [00:20:52]: If it drops to 20, if it drops to 40, do I care? No. It, I know it drops. It's negative. So when do I care about simulations?Joon [00:21:01]: You do something that's clearly bad, that's not popular, and people don't like you, like, yeah, it's likeSwyx [00:21:05]: You don't need a simulation.Joon [00:21:07]: Yeah. Well, so there are a couple of things. one is, there are use cases where, like every day, developers, designers, policymakers, marketers, every single day, they create assets. They create new products. And turns out, it's many of the decisions in hindsight is obvious. Yes, of course this is bad, but we still run those studies because understanding the magnitude and understanding how acute something is quite difficult, even if, we feel like, of course, like this makes sense. this is the reason why we make so many mistakes. Like, every time somebody goes online and say something that has huge backlash, you look at that and like, “What an idiot.” However, it's tough. That's one. There's also another aspect here, which is, again, this is the reason why simulation is different from prediction. In simulation, in the ideal case scenario. So what simulation is trying to show is it's trying to show each step of the way or each step that we need to take to get to a certain outcome, right? So in the most advanced simulations, sometimes the next step that we're suggesting might be quite counterintuitive. The analogy that I sometimes give, and I ground it in a more realistic example, but, I, as I mentioned, I'm a huge fan of science fiction, and I don't know how, many of the audience members have read, like, things like the Foundation series by Asimov.Simulation as a Path, Not Just a PredictionSwyx [00:22:37]: Oh, yeah. We've mentioned psychohistory a number of times.Joon [00:22:39]: Okay, fantastic. So I might be, talking to the right crew. If you read Foundation series, literally the first act is there's a group of scientists who have found out that, “Oh, our galactic empire is going to collapse, and we're going to have 30,000 years of unrest.” And they run psychohistory, the simulator that tries to teach them, “Okay, how can we keep this unrest to a 1,000 years?” And they plan this out, and the first step of that plan is to get the scientists who say, “Okay, this is coming,” exiled into this random place in this, galax- galaxy.Swyx [00:23:18]: Terminus.Joon [00:23:19]: Exactly. And that's so counterintuitive. Like, what a strange move that you literally sent the group of scientists who was raising voice around this potential collapse of galactic empire into nowhere. How is that the right first move? Well, it turns out in this particular simulation, that was the move.Joon [00:23:40]: It's these things, right? And the reason why these reasoning is possible is because you're showing the step function or each step that results in a particular outcome. So really what simulation allows you to do in its highest form is you give it not a problem or question, like what would people answer to the survey? That's not what we do. What we tell it is, “Here is a goal that we have. In the context of foundation, we want to keep the unrest to a 1,000 years. What is the path that we need to take now to get to that particular future?” And that's what simulation allows you to do. Now, translating that into real market, imagine you're a automobile company and you're about to release a, EV, and you're trying to understand, well, how do we market EV, to make sure that our stock price goes up? But what if the answer comes down that, well, you can market your EV in XYZ way, but that might change people's perception around the cars that's not EV and make your overall sales to go down. Not very intuitive, especially all you're trying to optimize is EV salesss, and that's the only thing that you're tracking, then that might result in a completely wrong solution, or at least different solution than what you would have expected, whether it's right or wrong.Joon [00:24:57]: That's the power of simulation.Swyx [00:24:58]: For listeners, we covered a similar topic with Mikhail Parakhin from Shopify, where they are working on SimGym. I don't know if he ever talked to you about it. it's very similar.Joon [00:25:07]: ISwyx [00:25:07]: The goal is increased conversion, but then the journey is very unusual.Joon [00:25:12]: Journey is unusual.Swyx [00:25:12]: Yeah. The-- He's trying to look for interventions on a shopping trajectory, which is similar to what you're saying. Like, it's not about the attitudinal, is your word for it.Swyx [00:25:24]: It's about behavior.Joon [00:25:25]: It's about behavior.Swyx [00:25:25]: And that's exactly the difference, right? It's, like, not about the near-term direction about-- but it's more about, like, how do you affect multiple turns of interactions.Vibhu [00:25:35]: You had a good quote at the start about this as well. It's not about people wanting to know the outcome. It's about how they can change it, change the way to get there, something like that. But I wanna take it back to how do we know this is grounded? LikeGrounding and Evaluating Digital TwinsVibhu [00:25:47]: How do you run evals? How do you test that simulations come through? if I was to do the same thing that you described with, say, your favorite LLM, Opus, GPT-5.6, have some agent to map out these thingsVibhu [00:26:02]: How different are the answers we would get if I give it the same goal, the same objective, make a decent system? You're saying that you need to change the model weight. You have your own solution to this. But how far off are we, and how do you check if it's grounded? you have some interesting stuff on your site that points to how you run real evals, but if you could take us through that side. I think that's one of the big concerns that people have. They're like, “LLMs hallucinate.”Vibhu [00:26:27]: “You're just hallucinating layer after layer,” right?Joon [00:26:30]: The way we do this, and this is the paper that we worked on after the generative agents paper that really became the, at least for Simile and also the field of simulation and synthetic panels, really became the foundation. Yeah, this is the paper. the paper is called Generative Agent Simulations of 1000 People. Here's what we've done. For this paper, we brought 1,000 people that's representatively sampled from the US to a virtual lab. And what we have done was we spent two hours collecting fairly wide-ranging data. In this particular study, we focused a lot on this interview data, that was, whose script was taken from this project called American Voices Project. And then we would also pair that with a lot of behavior data and so forth, whatever we can collect within two hours. And then we would send these people away for a couple of weeks. And during that time, I would use this data to create their digital twins. And I would bring the humans, participants back after 2 weeks and have them complete a battery of surveys, experiments, behavior studies. So we have the list here, which included things like behavioral economics games. We would run literally, like, Big Five personality test, General Social Survey. We would also go ahead and run the randomized controlled trials that were published on PNAS. And we would have their digital twins predict how the source individuals would have acted in these studies and surveys. And this is where we could replicate people's behaviors and attitudes 85 percent as accurately as people would replicate their own. So that was the first really paper that gave this validated results that we can model individuals in an accurate way. And what we ended up finding now, of course, in AI space, so this paper came out at the end of 2024. AI space, a year and a half, 2 years, that's a lifetime.85% Accuracy and Why Frontier Models Miss Human BehaviorSwyx [00:28:24]: Yeah. Just, for listeners who are not seeing the YouTube, I just wanna say, like, the headline figure is 85 percent accuracy, like, which is a big improvement over all the otherSwyx [00:28:34]: Methods that you showed.Joon [00:28:36]: But the part that was particularly striking to us, especially as we improved this technology even further, was the generative AI models like ChatGPT, Claude that's coming out, it does give you the right foundation. However, what they do not consider is the true attitudinal and behavioral aspect of people, especially in the population that you care about. So what these models are really good at today is they're trying to become the super rational, objective machines, right? So you go get their data from places like Mercor, Scale. You talk to professional programmers, scientists to create model that's amazing at reasoning. That's what they do. Simile doesn't care about any of this. The models that we're talking about here, what we're trying to create are models that are as dumb as I am, right? So if I make some mistakes, the model has to make the same mistake.Swyx [00:29:34]: Oh, that's very hard.Joon [00:29:35]: That's very hard.Swyx [00:29:36]: You're solving Murphy's paradox.Joon [00:29:37]: That's exactly. And this is a completely different data and training objective. This is also where we see quite a bit of discrepancy in the performance in human behavior prediction between the frontier models, Simile's model, and the models being created in this space, where in some cases, the model performance of frontier models go all the way down to 20, 30 percent, especially if you go into that more niche population on topics that our customers would care about. On more gen pop, it might be around 50 to 60 percent. So it's not very robust. Like, you wouldn't want to make your decision off of these and these findings. If you can bring that up to 85 percent, that is ultimately what people end up getting very excited about.Swyx [00:30:20]: Yeah. Do we wanna keep going on the paper, routes?Joon [00:30:23]: Yeah, for sure. So the last one, was an interesting one. So this, paper was the follow-up paper that we had, to the 1000 agents paper, where the idea was now can we augment the models even further and post-train a model based on a lot of randomized controlled trials? So this was an interesting one. The data is always the most interesting part of modeling in many ways. The data that we got here was there's this, there's this platform called Open Science Framework. So some, the audience might be familiar with this. And there has been, especially in the social sciences over the past 5 years or so, there has been this concern around replicability of studies. And so it was a bit of a crisis, the scientists acknowledged, where we rerun the study and we don't see the same finding.Post-Training on RCTs and Replication StudiesVibhu [00:31:12]: Oof.Joon [00:31:12]: It's tough. And the reason why it's there-- that was often the case was there's this survival bias where the papers that get published often need to maintain what we call the value of less than 0.05 in the experiments that we ran. That suggests that only-- there's only 5% chance that the results that we saw is false positive. But the tricky part was all the papers that were not published, and there's still a 5% chance that whatever we publish is totally just randomly generated. Like, there's a 5% chance that, hey, this effect is not real, but it just happened to be real because of the sampling bias. So because of that, what scientists started to do was they started to register their studies. So before running an experiment, they would go to this platform and say, “Here is the data. Here is the population that we're collecting, and here's the hypotheses.” And they would just say, “Here is our hypothesis.” Like, “This is what we believe.” And you cannot retroactively change those hypotheses. This is what gives us more scientific statistical confidence that whatever effect that you ended up seeing is true. So that ended up creating this really interesting platform where there's one platform that has now contains tens of thousands of real-world experiments and hypotheses. And a lot of these are really high-quality, like, professionally designed behavior studies and random- randomized controlled trials. So we got the data and the studies from this platform and used that to make a point. And this particular, model is not, something that we're serving commercially because this was a part of the open science. But this particular data set, helped us make a point that by collecting a lot of these randomized controlled trials, that are really well-designed, we can make significant improvement in model's capability to predict human behaviors. So that's what this paper was about.Vibhu [00:33:10]: Is this stuff done on a individual level? Like, do I need to tune the model per individual, per company? Is there foundation model changes and then some slight post-training? Anything you can share there?Population-Level vs. Individual-Level ModelsJoon [00:33:21]: So this particular model was trained. the data we had at the level of individuals, but this particular model was trained. We experimented with both. And this is what we end up doing at Simile too. We always train 2, distinct model. One is what we call the population-level model. The other is what we call the individual-level model. And both take very similar input, which is the description of a subpopulation or individual and a stimuli. In this particular work, we've done the same. Here, the results that we are reporting are much more geared towards individuals because we do think that is a harder task in many ways, but that's what we have done.Vibhu [00:34:02]: You seen anything on the questions that humans can solve that models can't solve? So likeHuman Biases, Mundane Choices, and What Models MissVibhu [00:34:09]: Currently, it's, I live 5 minutes walk away from a car wash. It's a 10-minute drive. Should I walk or drive?Joon [00:34:16]: Huh.Vibhu [00:34:16]: The model will say, “Oh, walk to the car wash.” And, you don't have your car.Vibhu [00:34:20]: Is anything like this a problem in simulation? You would assume, like, very simple for human to think about, but if the model is saying you should walk to the car wash, anything here?Joon [00:34:32]: It's less, what can we solve, but I think it's more about what biases or mistakes do people make that models miss. Like, imagine that you are, like the. When I was still at Stanford, I lived in Palo Alto. So it's about, I would say, 40-minute walk from the campus. You ask the model, “Okay, let's go home. What can I, what can I do?” It would likely call an Uber or, give me, the bus time. But for the longest time, I really liked walking back. And the reason why I wanted to do that was not for efficiency. It really helped me think. And I like to walk for, half an hour or 40 minutes or so a day, where I just get to, just think about ideas, research, just get lost in my thoughts. That's very human activity. Unless the model has seen that and understands the importance of that activity, it would miss these kinds of features. So that I think, is fundamentally what we're trying to model. Like, what is fundamentally human might not be the most efficient thing to do, might not be the right thing to do, but things that make us who we are.Swyx [00:35:43]: I'm curious if, there are some data sets that you really want that would materially help you. One version of this may be interesting, which is more valuable to you to acquire as a data set, all of LinkedIn, all of Twitter, all of Facebook?What Data Matters: Social Media, Transactions, and FacebookJoon [00:35:57]: It's a little bit hard to rank, in part because, there's, there's this product saying where no feedback is wrong because it teaches you something about your users. Doesn't matter what feedback.Joon [00:36:11]: I think it's a little bit like that.Swyx [00:36:12]: So just whatever is bigger.Vibhu [00:36:13]: What about a different domain? Say it was. What about all of Amazon data?Joon [00:36:17]: Oh, yeah.Vibhu [00:36:18]: Shopping data, right?Joon [00:36:18]: Shopping data. So Amazon data is interesting in that it's very much behavioral, although, like, what people do on social media, you could squint and say that is also behavioral. But the transaction data is always interesting. It is also most commonly available, however.Joon [00:36:33]: If we were to look at purely social media, like if you really, if I were, if I had to really pick, Facebook likely is interesting because I do think it is most a default version of people. Because you go to LinkedIn, it's very much professional environment. So people put up their, they have their guards up, right? And that still is interesting because that is true human attitude and behavior, but it is not your base state. you go to Twitter- Twitter, people have their own crazy personas, or depending on who you are. Like, my Twitter profile and, persona is very much, initially was I was very much an academic. “Hey, I'm here to share my studies.” Now, I share, things that's related to Simile. But Facebook is one of those more private space where people just connect with their friends. In that way, I do think it shows you a little bit more about who that person is. So if I had to pick, I'd likely pick, Facebook.Swyx [00:37:30]: Yeah. And you're interested in, like, the whole person and their background and philosophy. I, is it too clinical or too machine learning-oriented to just say this is just ways to inject variance and biases? The broad question, is, like, is this any better than a randomized, like, combinatorial explosion version? So we have a link to the TencentBillion Personas, Synthetic Demographics, and Bespoke DataSwyx [00:37:54]: Billion persona paper, where they did not do any of the groundwork that you are doing.Swyx [00:37:59]: They just did like a cross matrix of here's all the professions in the world, here's all the people, possible backgrounds in the world, do a dot product across all of them, and that's it. That's your prompt for a billion people.Swyx [00:38:12]: This will do something. I don't know if it'll do what you do, but it gets you some way, some percent of the way there.Joon [00:38:18]: So this was an interesting paper. Like, what I admired about this paper when it came out was the scale. And you do gradually want to be able to simulate really large societies and interactions. So the scale is definitely admirable. it is relying heavily on the known statistics that went into training the model. So to the extent that you believe that statistics is correct, this is not a bad way to go about this. But the thesis here, and this is something that we also have seen in the market, like if this works, then we have solved simulation.Joon [00:38:54]: It,Swyx [00:38:55]: Because I survey, like, okay, 5% of the US population is in construction.Swyx [00:39:01]: The other 5% is in medicine, whatever, right? And then you just keep going down the list, and then you do the other side. 5% has, like, the big 5 personalitySwyx [00:39:08]: Of, like, neurotic or whatever. That's it.Joon [00:39:11]: That's it. So if you believe that the underlying data set and the platform that we're leveraging has all the right statistics, then this will have solved it. you're at that point merely retrieving the knowledge that is already embedded in the model, in the model parameters. That's not, unfortunately, what we see, where there is such detailed and also niche knowledge about people that if you just take one example, it might feel very mundane, but it's quite rich when you put together, that you do need to do a lot of bespoke data collection to better understand people. And this is also, I think what makes this particular, job fun, which you want to deeply understand people, and the process of deeply understanding them requires a lot of attention to the details. And you do need to pay attention to and pay respect to the daily lives that people lead.Scaling Simulation: From Thousands to SocietiesVibhu [00:40:04]: I wanna talk about scaling simulation.Vibhu [00:40:07]: So what can't we simulate, what can we simulate, and how does scaling affect this? So how big are the models? What if we go from, 8B, like, couple 100 billionVibhu [00:40:18]: Like billion000 parameters, billion000? Do we get scaling? Any interesting emergence? Like, at a certain scale, at a certain amount of training, you uncover anything unusual and any learnings from that?Joon [00:40:31]: What we are seeing is at Simile, so we do post-train our own model. The thing that we're seeing is the early glimpse of scaling law in simulations. The more data about humans and more compute you ingest, you start to get predictive and predictable gains of the model performance in simulating it, simulating people.Vibhu [00:40:51]: Ooh. We need a scaling law curve.Joon [00:40:52]: It's scaling law. Whenever you find it's a beautiful thing. And we're starting to see the glimpse of it, which is quite exciting. But if you talk about the ambition of simulation as a whole, it's not merely about building a model. It's about building a model, then creating the agents that become the individuals in a much larger ecosystem. So they're creating this multi-agent simulation. Down the line, you want these multi-agent simulation to also live in a very rich environment, right? What we are really trying to get to at that point is, hey, can we create. All right, let's do a time machine game again, and 5 years, 10 years into the future, can we create a simulation of 8 billion people living on Earth? I think that's quite interesting. And that really is the vision. And once you get to that state, the questions that you can help answer for the society also start to change from my perspective. The answers are fundamentally about emergence of the emergent behavior of society and large groups of people.Joon [00:41:53]: So the questions that I get excited by, and maybe this is a stodgy- a bit. I have my, academic side of me.Joon [00:42:01]: And for me, it's questions like, can we help solve climate change? If you look at climate change as a problem space, this is what we, like social scientists would often call it the wicked problems, problem where you have many actors with competing incentives for trying to make a very complex decision and coordinating that coordination decision. Very difficult to really solve in real life, which is also the reason why we couldn't solve it. Can simulation help us solve that? Another one is, can we understand the signals for collapsing democracy, or can we understand or can we uncover the origin story of the monetary system? These are societal questions that we never really had a good way of answering. If we can create simulations of our society, you have to believe that these are the problems that we can solve. So that's really the ambition of this field. And, I also think, yes, I think there's a Nobel Prize to be won there, which wouldn't be surprising. And I think there's some amazing societal impact that we can have to help people make better decisions.Climate Change, Democracy, and Societal SimulationSwyx [00:43:04]: Nobel Prize in economics?Joon [00:43:06]: In economics.Swyx [00:43:06]: Oh, I see. I see. Rooting for you to write that paper.Joon [00:43:10]: One of these days. But, one of the scholars that I was deeply inspired by, When I was coming into the space of simulation, is this scholar, named Thomas Schelling.Schelling, Agent-Based Models, and the Nobel PrizeSwyx [00:43:23]: Schelling point?Joon [00:43:24]: So the canonical example of the work that he's done was he was one of the creators of agent-based modeling. So this was, like, in the 1970s and 80s. It's very early days, but this was truly one of the first exemplars of simulations. And one of the canonical model from that time, and of course many of these simulations are trying to tackle the societal problems that's most relevant for their era, it was called the model of segregation. So racial segregation was a big topic, that, we cared about. And what they've done was they created this grid world where they had red dots and blue dots. And these dots were, back in the day, like, they were the agents, and they had a simple rule that governed their behavior. If certain percentage of your neighbors are of different color and if that goes above certain threshold, then you move to a new location at random.Joon [00:44:21]: One of the striking finding of this paper or this agent-based model was for the longest time, people thought the segregation within society was caused by explicit and overt racism.Joon [00:44:34]: But if you look at this model, people's preference towards living with people of the same color, that preference can be very minute.Joon [00:44:42]: But the very small difference causes the society to segregate completely over time. This was very counterintuitive for a lot of people. And this particular work ended up informing housing policies. Mixed income housing, got really inspired by this work. And Thomas Schelling ends up winning the Nobel Prize for having laid the groundwork for very early versions of simulations. The opportunity that I do see here in the more scientific terms, is agent-based models for the longest, had impact in the 1980s, 90s, to some extent, early 2000s, but it has now gotten forgotten by the community a little bit. Because as you can imagine, red dots and blue dots is not really a rich description of people.Joon [00:45:31]: But with the emergence of things like generative AI and, in particular, generative agents, we do have an opportunity to create these agent-based models that are high fidelity enough to help us make really complex decisions. And that's the opportunity that I see. If that truly works, then yes, that is the work that will result in a Nobel Prize.Swyx [00:45:53]: Yeah. For what it's worth, and I grew up in Singapore. 80% of Singapore is in public housing, and public housing has, enforced racial quotas for exactly that reason, which is very interesting. okay, so we talk about scaling, we talk about all these, the agent possible applications.Cost, Reuse, and the Economics of SimulationSwyx [00:46:13]: I'm scared about the cost. if you even-- let's just keep it to the US, about 8 billion people.Swyx [00:46:21]: But, how much does it cost to model so many hundreds of millions of people?Joon [00:46:26]: Oftentimes today, we don't start at that scale, this stage of the, of industry and simulation as technology. But we can get our users extremely rich and meaningful insights even by modeling thousands, tens of thousands of people. And today what we do is every week we are collecting data on the scale of tens of thousands people's data, and we have panel partnerships that gets us to tens of millions of people globally. So that's what we do today.Swyx [00:46:55]: And just as a side note once you've collected one person for one studySwyx [00:46:59]: Can you reuse that same person for all the subsequent studies?Joon [00:47:03]: That's exactly right.Swyx [00:47:03]: Okay.Joon [00:47:04]: The beauty of this model and these agents is the fact that they are domain-agnostic.Joon [00:47:08]: That what you're really trying to understand is what is the fundamental nature of these people? What's their social physics? And there are a lot of, a lot of, people that does change over time. Like, even, like, even things like, how many times have you gone have you been to, like, CVS the past week? that will change. But there's so many traits about people that are also known to never change. Like, your risk tolerance doesn't really change over time. It's very consistent. So it's these things that we're trying to learn. But the scale we are operating is right now hundreds or, tens of thousands to hundreds of thousands. And in many of the core use cases that we are deployed in, and this is more than enough population, to cover those. Really, at that point, what you care about is less the number of people, but more do you have the right subpopulation of interest covered? And this is also the reason why people want a larger sample. It's not because they want, stronger statistical guarantees. It's more that can they filter down to any population of their interest. However, you can also imagine in 10 years, if we truly believe that the compute is going to scale, that we'll have much more availability for compute, and our ambition for simulation is also going to scale accordingly, there's definitely a reason for us to create an entire data center worth of simulations.Joon [00:48:35]: Or in my hunch here is I do think in the next some number of years, we will start creating simulations that will cost as much as training a foundation model. But perhaps it's going to be so valuable to the society that it would be a no-brainer. Right now, even today, like, we are training bunch of new foundation model just so we can say we trained one and we spent tens of millions. But if we can create a simulation at the level of society that would solve climate change, I would run that today. I would raise the money right now just to run that.Multi-Agent Simulation and Social InfluenceSwyx [00:49:10]: Amazing. the follow-up question is, does it also compound if you let the simulations talk to each other?Swyx [00:49:18]: Or do they already do that today? They don't, right, as far as I understand?Joon [00:49:22]: It depends on what simulation you're trying to run.Joon [00:49:24]: In the multi-agent simulation setup, the agents do talk to each other.Swyx [00:49:28]: Right, which is exactly Smallville, right?Joon [00:49:29]: That's right.Swyx [00:49:30]: But a lot of times, for example, in commerce, you're just by yourself, so there's no point talking. which is way cheaper.Vibhu [00:49:37]: But they use all these levels, right? Like, you decide what you will buy based on what other people around you buy and talk about, right?Swyx [00:49:43]: It depends.Vibhu [00:49:44]: It depends.Swyx [00:49:45]: Again, I'm, I'm coming at this from a cost point of view. I'm like, “Oh my God.” LikeVibhu [00:49:48]: I thinkSwyx [00:49:49]: If there is, like, some combinatorial thing of, like, thousands of people talking to thousands of people, then that one million X's might cost.Vibhu [00:49:56]: I have a very different view as the cost point aside. Like, running these studies in reality is a lot more expensive, right? Running any study like this is you gotta have people do it, you gotta sign people up. It's very expensive and sometimes, like, not feasible to run the study.Vibhu [00:50:14]: But the outcome or the decisions you make are very expensive on them, right? So spend X million on something that, the overall process costs 100 million might as well, right? There's, there's a lot of value to be had there. It's a small cost, but I'm excited on the cost side.Joon [00:50:33]: To some extent, and when you deploy technology, you often want to deploy in a way where you can replace existing budget or you can make things more efficient, and that is the best way to deploy. However, the way you capture the long-term value of the technology is making the argument that, no, it's the upside, that by making this better decision using simulation, you have saved yourself or made yourself hundreds of millions or even billions of dollars, and that's a case to be made.Vibhu [00:51:06]: Random tangent question. So if you're doing a lot of inference, a lot of model multi-agent stuff, are you at the point where it makes sense to, train a model that' very sparse? You're expecting to do multi-million dollar runs. Are you thinking about this in model architecture standpoint or inference efficiency, or, you're still at the research phase of it works, we're not super there yet?Joon [00:51:34]: Efficiency, we do think quite a bit about. this is technology that is deployed now in some of the largest enterprise companies in the world, and we do process significant number of queries, that are trying to, simulate the populations in the world. So efficiency is a consistent thing. we don't want to over-optimize too early, so I wouldn't say, like, this is the higher bid Right now, but this is definitely something that we think pretty carefully about.Swyx [00:52:05]: Yeah. Are there other case studies? So we, you talked about CVS, talked about Gallup, Deloitte, Wealthfront.Efficiency, Enterprise Use, and Real-World Case StudiesJoon [00:52:12]: Wealthfront is an interesting one, because one of the things they were trying to do, they were one of the first customers that wanted to do product testing that goes beyond just asking people what they think about, let's say, behavior experiments and so forth. So there, really what we had to do was reason about multimodal input, so images, but also you can also imagine, like, these agents traversing through Figma mockups or websites. So some of the things that our agents can also do is it can be given a domain, like, or, like, a website URL and go use it for a while. It's these things. And Wealthfront was one of the first, customers, that was very excited about this possibility.Vibhu [00:52:53]: What have people been asking? Like, is there any demand that we have not covered? Like, UI testing, right?Vibhu [00:52:59]: I wanna try a new. I wanna ship a new feature, test the UI, simulate how people will do it. Any interesting things that you're seeing demand for?Product Testing, Websites, and Synthetic PanelsJoon [00:53:08]: Today, a lot of the demand does come from like, the places where people have historically used human panels, we can now replace with agents, and these synthetic populations. And this is not replacing human panel. in many ways, the simulation that Simile is building is grounded. So the way that I think about this is we are trying to represent humanity at scale. And in that way, the use cases are what we would expect, but it's the scale of deployment that surprises me.Joon [00:53:44]: Turns out there are so many decisions that people make every day in these organizations, groups, and we want to be able to say, “We listen to people. We have consulted our users.” But in reality, that is rarely the case because getting to people and asking them many questions, it's difficult. It's both costly, time-consuming, but most importantly, people are just not available. If I had to answer 1000 survey questions for this one particular, vendor, even if I wanted to do that, like, I would never do it. And that's very much the case. What simulation can do is ensure that the voices of people are always represented in rooms where the decisions for them is made, right? So all the stakeholders of this particular product launch, ideally they're consulted. That's what this technology really is trying to enable.Market Size, TAM, and Human Decision-MakingSwyx [00:54:39]: In my mind, that means it skews towards more consumer focus, right? Like, anything with a wide enough customer base where you do benefit from the diversity that you represent. What are some rough statistics, just for people who are not familiar with this market in general, what's the market size that. I'm sure you have some, like, rough numbers. market size is, like, a vague questionSwyx [00:55:01]: But, like, how much do people spend?Joon [00:55:03]: So market research is a $100 billion industry.Joon [00:55:06]: But the thing about simulation is not a tool for market research. Simulation is a tool for human decision-making. So the question around what is a TAM here is quite tricky, right? Because it's easy to say, “Well, market research TAM is roughly 100 million or 100 billion.” so is it a TAM? And not really, right? Because in many ways, you're trying to inform all human decision-making. You're trying to inform every decision that are made about humans for humans. What is a TAM for that? It's really unclear. And I'll be honest. Like, I have a scientific background, I have a research background, so I didn't come into the field calculating, oh, what is the TAM for human decision-making? But I just had to assume, well, if we can inform every decision that is made about human for human, that has to be big.Swyx [00:55:58]: Some- something valuable.Joon [00:55:59]: Exactly.Swyx [00:55:59]: To some extent, you are a unicorn founder now, and you have to care as a CEO. But, like, I do think, like, yeah, when you go into these boardrooms with people that you're quoting millions of dollars of contracts for, like, you have to say, “Well, here's what you spend on humans-”Swyx [00:56:15]: “. And here's what we save you, and it's 85% similar.”Joon [00:56:19]: And certainly, the value case, is something that we care deeply about. Like, what is the value that we provide to the users and the decision-makers? But this is also where, like, as a founder, I think valuation only tells one very superficial aspect of the story, and I try not to think too much about valuation, in general, because that's not what also motivates a team or certainly doesn't. I'm, I-- Again, the interesting thing about researchers is we are happy living in academia, getting paid next to. we get paid okay. we don't get paid that much, as a researcher here in academia, but it's the impact and it's the, it's the value that we can provide to the individuals and the society that really drives us. And in that way, ultimately what drives us is the impact. Does the simulation we provide have a real impact in people's decision-making in ways that progresses our society forward? If the answer is yes, then yes. that has to be great business, and we see that in numbers, and we do care deeply about that upside story, but that's the heart of it.Where Simulation Goes NextVibhu [00:57:27]: Do you have any timeline predictions? So we talked about scaling laws of simulations.Vibhu [00:57:33]: You brought up, okay, maybe one day we can simulate how to solve climate change.Vibhu [00:57:38]: Where are we now?Vibhu [00:57:40]: If that's not the end state, what is an end state, and what does progress look like?Joon [00:57:45]: So what I sometimes tell people is simulation as industry, it feels a lot like where GPT-3.5, GPT-4 was, for the AGI saga, which is we have now technology that is powerful enough to do real damage on the verticals that we are tackling. At the same time, there's a lot of progress that is yet to come. And that's, I think, where this is. So the way I see it, I do think there will continue to be breakthroughs both in data, in algorithms, and there will be much more aggressive scaling that will also happen over the next few years. But I think that's roughly where we are.Swyx [00:58:27]: I think that was about the ro

Joy Taylor continues on her mission of misandry. I do not believe Lindsay Clancy was suffering from her so-called condition while murdering her 3 children.Follow me on Twitter & Instagram: @siddavisPodcast IG: @thesocialintrovertpodcastPodcast Twitter: @SocialintroPodSend emails to: thesocialintrovertpodcastegmail.com

Emily and Rose dive into the Pontiac Salsa, Ford Splash, Lincoln Sentinel, Lincoln Machete and the concept that lead to the Lincoln Continental.  Pontiac Salsa Ford Splash Lincoln Sentinel Lincoln Machete Recorded @iapdx Recorded & mixed by Emdognightmare & Queen of the Vans Editor: Emdognightmare Production & research Queen of the Vans & Emdognightmare Find us: Car Krush Stay updated w/ our newsletter Hugs, thank you & high fives to Greg Meleney for the killer tunez!

(0:00) Intro(0:39) Insan ka Guzra Hua Zamana(2:43) Masjid Mein Chappal Chor(3:20) Rehbaniyat vs Normal Life(8:29) Hamari Majboori Sirf Allah(9:15) Duniya Paraston ki Taraqqi ki Haqeeqat(12:15) Dopamine aur Dil ka Sukoon(17:19) Aik Singer ki Depression Kaise Khatam Hui?(19:33) Stress Treatment(22:12) Michael Jackson(23:01) H. Pylori, Blood Test aur Urine Test ki Haqeeqat(25:48) Gurday Kyun Kharab Hotay Hain?(27:05) Michael Jackson ki Zindagi aur Maut Mein Sabaq(33:16) Real Success ka Concept(39:08) Duniya ki Zindagi: Khail Tamasha(41:42) Dil ke Sukoon ka Nuskha(45:20) Nemat (Jo Aap ke Paas Hai) Se Mehroom Shakhs ki Qadar Karo!(50:07) Hazrat Umm-e-Salma (RA) aur Nabi ﷺ ke Nikah Mein Sabaq(51:25) Takabbur(54:03) Mufti Sahab ke Is Bayan par Negative Comments(57:26) Behen Jab Apni Virasat Mangti Hai?(58:39) Nabi ﷺ ki 3 Nematein(1:00:18) Ilm ki Nemat Chhupane Wale Aalim ki Saza(1:00:55) 2010 Mein Mufti Sahab ke Manazray aur Tehreerein(1:03:18) Mutakabbir(1:05:04) Badtareen Waleema(1:06:30) Muqable ki Burai(1:08:00) Dopamine aur Insan ki Taraqqi(1:11:58) Allah ki Maan Kar Chalna: Kamyabi ka Raaz(1:14:37) Khush Qismati ki Zameeni Cheez(1:20:00) Hajj par Cigarette ka Business?(1:20:32) Tawaf ke Dauran Kaaba ko Dekhna?(1:20:45) Masjid-e-Haram Mein Imam aur Namaz(1:22:12) Thande Pani ki Nemat(1:23:28) Masjid-e-Haram Mein Chappal(1:23:57) Rami ka Wakeel? Rami ke Baad Tawaf?(1:24:35) Namaz Mein Hath Kahan Bandhein?(1:32:37) YouTube Ads ki Earning(1:37:40) Hasad Se Kaise Bachein?(1:38:20) Future Anxiety ka Ilaj(1:46:47) University Mein Fail Hone Wale ki Tension(1:50:27) Susral Mein Damad ka Rehna?(1:51:35) Rehan Tariq Case aur Mufti Sahab par Aitrazat(1:59:12) Mufti Sahab ki Kitab Hasil Karne Wale ka Sawal Hosted on Acast. See acast.com/privacy for more information.

[REMINDER: We're less than 10 days away from the In Bed with the Right Live Show in San Francisco: August 27, 7:30 pm Swedish American Hall. Tickets are going fast, but still available -- get yours here!]This week, to prepare for Adrian's new book What Tech Calls Governing (available here, take 20% off at checkout with "daub20"), Adrian takes Moira back to Germany just before 1933 to discuss the life, opinions and odious politics of Carl Schmitt -- one of those right wing thinkers that never seems to go really go away, and that is being brought back in our own day by sundry Silicon Valley creeps and their lickspittles. This episode focuses on Schmitt's early writings -- On Dictatorship, The Concept of the Political, among others -- and on Schmitt's strange and messy personal and religious life.

Show SummaryOn today's episode, we're having a conversation with Military Intelligence and Civil Affairs Veteran Rebecca Monaco, co-founder of Next Mission, an organization dedicated to empowering and supporting resettled Afghan women veterans who served alongside U.S. Special Operations forcesEpisode Partner:Our sponsor this week is Aetna, a trusted health care company, committed to serving Veterans, military families, and caregivers through meaningful, community-centered care. Provide FeedbackAs a dedicated member of the audience, we would like to hear from you. If you PsychArmor has helped you learn, grow, and support those who've served and those who care for them, we would appreciate hearing your story. Please follow this link to share how PsychArmor has helped you in your service journey Share PsychArmor StoriesAbout Today's GuestRebecca Monaco, MPH, is a public health leader, researcher, and program strategist with more than ten years of experience leading complex initiatives across healthcare, nonprofit, government, and military organizations. She earned her Master of Public Health from Dartmouth College, where she developed a passion for behavioral health research, implementation science, and innovative approaches to improving care. Her current interests focus on psychedelic-assisted therapy, women's health, and translating emerging research into real-world impact.A former U.S. Army Civil Affairs and Intelligence Officer, Rebecca deployed to Afghanistan as a Cultural Support Team (CST) member with Joint Special Operations Command, where she served alongside Afghan Female Tactical Platoon (FTP) members. Following the fall of Afghanistan, her team coordinated the evacuation of 42 Afghan female Special Operations personnel, an experience that continues to shape her commitment to service, leadership, and advancing opportunities for vulnerable communities.Rebecca currently serves as the volunteer Project Manager and Board Secretary for NXT Mission, where she leads initiatives supporting refugee resettlement, education, workforce development, and long-term integration for displaced Afghan women and families across the United States.Links Mentioned During the EpisodeNext Mission WebsiteNext Mission on LinkedInPsychArmor Resource of the WeekThis week's PsychArmor Resource of the Week is a previous episode of the Behind The Mission podcast, episode 184 with Kari McDonough. Kari is Vice President of Welcome.US and Senior Advisor to the Welcome Fund, a program of Welcome.us that provides a source for grantmaking to organizations as they involve community members to welcoming coalition allies coming to the US as part of resettlement efforts. You can find the resource here: https://psycharmor.org/podcast/kari-mcdonough Contact Us and Join Us on Social Media Email PsychArmorPsychArmor on XPsychArmor on FacebookPsychArmor on YouTubePsychArmor on LinkedInPsychArmor on InstagramTheme MusicOur theme music Don't Kill the Messenger was written and performed by Navy Veteran Jerry Maniscalco, in cooperation with Operation Encore, a non profit committed to supporting singer/songwriter and musicians across the military and Veteran communities.Producer and Host Duane France is a retired Army Noncommissioned Officer, combat veteran, and clinical mental health counselor for service members, veterans, and their families.  You can find more about the work that he is doing at www.veteranmentalhealth.com  

SPONSORS: - Take Cheers Restore after your last drink or before going to bed and wake up feeling at least 50% better — or your money back. For a limited time our listeners are getting 20% off their entire order at https://cheershealth.com/TOE - I personally subscribe to The Economist. TOE listeners get 35% off the annual subscription. No other podcast has this! https://economist.com/TOE Peter Godfrey-Smith, professor at the University of Sydney and author of Other Minds: The Octopus and the Deep Origins of Consciousness, joins to explain why he thinks meeting an octopus is the closest we'll get to meeting an alien. He's now developing a new, speculative theory of consciousness centered on rhythm. The conversation explores why he thinks "having a mind" is a graded property rather than a yes-or-no one — and what that implies for earthworms, bacteria, and plants. We discuss how many selves may exist inside a single octopus. Godfrey-Smith explains why he suspects rhythmic, large-scale electrical activity in the brain — not just point-to-point neural firing — is essential to consciousness. He also addresses what Anthropic's discovery of a "workspace" inside Claude does and doesn't show, and why he assigns computers a very low probability of being conscious. Finally, he makes the case for why a silicon neuron could never do "exactly" what a biological one does. This is an in-depth conversation with Peter Godfrey-Smith. FOLLOW: - Spotify: https://open.spotify.com/show/4gL14b92xAErofYQA7bU4e - Substack: https://curtjaimungal.substack.com/subscribe - Twitter: https://twitter.com/TOEwithCurt - Discord Invite: https://discord.com/invite/kBcnfNVwqs - Crypto: https://nowpayments.io/donation/TOE - PayPal: https://www.paypal.com/donate?hosted_button_id=XUBHNMFXUX5S4 TIMESTAMPS: - 00:00:00 - Cephalopods: The Closest Aliens - 00:05:30 - Defining the Unconscious Mind - 00:10:40 - Selfhood vs. Information Processing - 00:16:10 - The Graded Nature of Mind - 00:22:15 - Deflating the Concept of Life - 00:29:00 - Convergent Evolution of Intelligence - 00:35:40 - Distributed Neural Control Systems - 00:42:50 - Multiple Subjects in One Body? - 00:48:40 - Global Workspace Theory Critique - 00:56:10 - AI and the Conscious Workspace - 01:01:28 - Simulation Hypothesis Probabilities - 01:08:40 - Biological Hardware Constraints - 01:16:10 - Rhythmic Consciousness Theory - 01:22:30 - Mind Uploading and Silicon Neurons - 01:31:00 - Neural Dynamics of Subjectivity - 01:37:00 - Deep Ocean Intelligence LINKS MENTIONED: - Other Minds [Book]: https://amazon.com/dp/0374227764?tag=toe08-20 - Peter's Website: https://petergodfreysmith.com/ - Reality+ [Book]: https://amazon.com/dp/0393635805?tag=toe08-20 - A Materialist Theory of the Mind [Book]: https://amazon.com/dp/0415100313?tag=toe08-20 - Rodolfo Llinas: https://med.nyu.edu/faculty/rodolfo-llinas - Bruno's Research: https://qbi.uq.edu.au/groups/vanswinderen - Dehaene's Commentary on Language Models [Paper]: https://www-cdn.anthropic.com/files/4zrzovbb/website/cc4be2488d65e54a6ed06492f8968398ddc18ebe.pdf - A Cognitive Theory of Consciousness [Book]: http://cogweb.ucla.edu/Abstracts/Baars_88.html - Oscillations in the Central Brain of Drosophila Are Phase Locked to Attended Visual Features [Paper]: https://www.pnas.org/doi/10.1073/pnas.2010749117 - The ENCODE Project: https://plato.stanford.edu/entries/genomics/encode-project.html - What Is It Like to Be a Bat? [Paper]: https://www.sas.upenn.edu/~cavitch/pdf-library/Nagel_Bat.pdf - The Explanatory Gap [Paper]: https://philpapers.org/rec/LEVMAQ - Inferring Consciousness in Phylogenetically Distant Organisms [Paper]: https://direct.mit.edu/jocn/article/36/8/1660/120485/Inferring-Consciousness-in-Phylogenetically - Remarkably Bright Creatures [Book]: https://amazon.com/dp/0063204150?tag=toe08-20 - Giant Cuttlefish: https://australian.museum/learn/animals/fishes/giant-cuttlefish-sepia-apama-gray-1849/ - Cuttlefish Exert Self-Control in a Delay of Gratification Task [Paper]: https://royalsocietypublishing.org/rspb/article/288/1946/20203161/86132/Cuttlefish-exert-self-control-in-a-delay-of - Stanford Marshmallow Experiment: https://en.wikipedia.org/wiki/Stanford_marshmallow_experiment - How We Found the Giant Squid: https://www.ted.com/talks/edith_widder_how_we_found_the_giant_squid More links at https://curtjaimungal.substack.com Guests do not pay to appear. #science Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode, the brothers discuss military technology, retirement planning, and the cultural impact of hip hop, blending insights on national security, personal well-being, and music. The conversation offers a mix of expert opinions, personal stories, and humorous takes that matter to listeners interested in current events, self-care, and music history. In this episode, we explore the evolution of hip hop, the impact of iconic songs, and the importance of balancing entertainment with authenticity. Our guests share insights on music, pop culture, and personal growth, making it a must-listen for fans and newcomers alike.Chapters00:00 Introduction and Episode Overview01:20 Discussion of Ukraine's Drones and NATO War Games02:30 Trump's Proposal to Return to Steam-Powered Launchers03:57 Job Numbers and Workforce Trends05:28 The Concept of 'Me Days' and Personal Self-Care09:03 The Importance of Relaxation and Unplugging10:50 The Challenge of Turning Off and Recharging12:47 Facilitation, Leadership, and Bringing People Together16:52 Meditation, Mindfulness, and Self-Reflection17:27 The Need for Hobbies and Interests Outside Work18:18 Defending Trump and Military Decisions20:21 National Security, Bunkers, and Presidential Safety Measures22:23 Naming and Renaming of Airports and Landmarks23:36 Celebrating Seven Years of the Show24:19 The Show's Impact and Media Presence25:50 Questions and Audience Engagement36:59 The Evolution of Military Technology and Strategy37:06 Balancing Innovation and Simplicity in Defense41:02 Favorite Hip Hop Songs and Classics42:36 Lyricism and Impact of Iconic Tracks

What if one of the most powerful tools for improving your mental health wasn't found in a pill bottle, but just outside your front door?In this episode of the Elemental Evan Show, we explore how nature influences the brain, nervous system, and overall well-being. From reducing stress hormones and calming an overactive mind to improving attention, creativity, and emotional resilience, spending time in nature may be one of the simplest and most overlooked health interventions available.We'll discuss how our brains evolved outdoors, the concept of soft fascination, how modern life contributes to chronic stress and mental fatigue, and why reconnecting with the natural world may be one of the best things you can do for your health.Whether you're hiking through the mountains, walking along the beach, or simply sitting beneath a tree in your local park, nature has an incredible ability to restore both the mind and body.In This Episode You'll Learn:

Ep # 132: Sun Food and Decolonizing What We Eat with Radius of RA's Natural Abundance (noseyAF Classic)Part of noseyAF's 31 Days of Black Business series

Part of "Proverbs: How to Build a Life," Andy Rodgers picks up the second half of a two-part look at wise counsellors. Last week Grant Clark asked why we need trusted voices and who has permission to tell us something we do not want to hear. This week turns to the follow-on question: once we have discerned that someone is qualified to speak into our life, how do we get the most out of what they say. The message covers therapists, pastors, spiritual fathers and mothers, GC members, and friends.Andy opens by distinguishing two things that are often confused. Therapy is a practice: a trained professional with a set of skills, a licensed person helping a specific person with a specific problem, with ethics, accountability, and evidence based practices behind it. Therapy culture is something else. It is when the language of therapy and a therapeutic orientation become the way you engage every relationship in your life, and when organizations, schools, churches, and the political sphere all route their questions back to what feels good therapeutically rather than what is good. "How does that make you feel?" is an excellent question in a counselling room and a poor one for setting the economic direction of a nation or for asking what a passage of Scripture means.He is explicit that this is not an anti therapy message. Restored started a therapy centre, has subsidised thousands of dollars of therapy for people in the church who could not afford it, and runs the Restored Counselling Network. Good therapists using good practices are very helpful. A number of the people writing against therapy culture are themselves therapists.On reading for authorial intent rather than feeling, he points to Mark Twain, who prefaced a later edition of "Huckleberry Finn" by telling readers the book is not an allegory and asking them not to treat it as one. His English class spent fourteen weeks treating it as an allegory anyway. That is survivable with a novel. It is a real problem with Scripture, and a bigger one when the same instinct is used to determine what marriage is, what your identity is, and what is good and true and beautiful.## Four markers of therapy culture1) Concept creep. Precise language meant to help us see something clearly starts to mean more than it meant, and once it means everything it means nothing. Gaslighting comes from a 1938 play and describes a genuinely abusive man deliberately making his wife doubt her sanity. It is real and it is rare. It now gets used for ordinary cognitive dissonance. Andy walks through a recent scheduling mix up with a fellow pastor where he genuinely felt confused, and notes that memory is fallible and two people can remember the same event differently. Choosing the gaslighting reading would have turned a good friend into someone dangerous who had to be removed from his life. Choosing "maybe I forgot that" carried far less pressure and required villainising no one. The same creep has happened to abuse, to trauma, and to narcissism. Genuine narcissistic personality disorder runs around one percent, so it cannot be everyone's dad, just as borderline personality disorder cannot be everyone's mom. Naming everything as abuse diminishes our ability to help the people actually experiencing it.2) Boundaries become walls. Boundaries are a biblical idea: knowing where you stop and another person begins, holding your values, refusing to be manipulated. To be a Christian you have to have firm boundaries. But for many people boundaries have come to mean cutting out anyone who makes them uncomfortable, which is avoidance, and which most good therapists will tell you leaves you less mature because you never learn to handle difficult people or hard conversations. Seventy three percent of millennials have gone no contact with a close friend or family member in the last two years, half of those tied to their parents' politics. Disagreeing with your parents is normal. Cutting them off is new. Where there is genuine danger or a history of abuse the calculation is different, but the usual work is helping people figure out what they can realistically expect from a relationship and how to show up in it.3) Validation becomes authority. Being heard matters, but being heard is a means, not the end. It creates a space safe enough to look at what is hard to look at. If someone has to tell you that what you want is good, that will keep you from wisdom, because sometimes what you want is dumb. Andy is candid that he has plenty of dumb ideas himself and needs godly, loving, wise people alongside him for exactly that reason.4) Diagnosis becomes identity. Restored is not anti diagnosis. The DSM categories are genuinely useful for describing patterns of behaviour, understanding how someone relates to others, and explaining a tendency. They are never an excuse to hurt people or to continue in sin. Andy speaks openly about his own ADHD, the forgotten texts and missed medications, and the systems he has had to build to take responsibility for it. Most diagnoses people receive are not their fault, but to thrive and love people well they still have to do the work. God's standards do not decrease; some people simply need more help in a given area than the average person.The irony he draws out: something you went to in order to see clearly now makes the world look more threatening than before. Something you went to in order to protect your relationships has produced more isolation. Somewhere you went to be heard has made you unreachable.He notes the same dynamic can quietly reshape a GC, where groups drift into venting and status updates rather than asking what Scripture says and what Jesus is calling us to. It is fine to say a thing is hard. The question is whether the group helps you then go and do it.Two tests run underneath the whole message. If we are engaging counsel in a way that makes us more fragile rather than more resilient over the long term, something is wrong. And if we have adopted a worldview that makes us less open to insight we do not want to hear, it is keeping us from becoming wise.## We get the most out of the counsel we receive when we do five things1) Choose the right story2) Are discerning about who we let counsel us3) Engage honestly4) Work towards a goal5) Seek sanctification over validation## Choose the right storyThere are no neutral worldview people. Everyone speaking into your life is answering a set of questions whether or not they say so out loud: What is a person? What is a man, a woman, a mother, a father? What is parenting? What is marriage? What is sexuality and what is it for? What is actually wrong with us? How do people change, by insight, by empathy, by repentance, or by better tools? And what is the goal of a life, which decides the goal of counselling.The Bible says we are image bearers of God, made with inherent dignity, value, and worth, created to be known and loved. That is a different story from being a bag of chemicals and neurons colliding. Andy is careful that these are not simple either / ors. We are image bearers and we do have physical bodies that God chose for us. Scripture names three broad things that can be wrong: a fallen body in a fallen world, with real physiological realities; sin committed against us by others, which covers much of what people bring to therapy as wounding, shame, and pain, and which is not their fault; and our own sin, the lies we tell ourselves and the ways we try to live independently of God.He pushes back on starting the story at Genesis 3. God made us wonderful, beautiful, and glorious, and sin damaged it. One of the worst things about sin is that it diminishes the good person God created you to be. He is now restoring that, like a fine painting, over years and with patience.Repentance and clinical tools are not rivals. A tool can make repentance easier. Andy uses his own example: externalising what he cannot hold in his head helps him forget less and love his wife better. But the decision to get help in the first place is an issue of the will. Someone whose trauma triggers leave them in fight or flight is not at fault for being triggered, and may still need to deal with the thing they have been avoiding, because the people around them are still getting hurt even when the motive is not bad.The question that matters is what wins when two stories are mutually exclusive. When a view of the world conflicts with the Scriptures, the Scriptures need to win. He works this through cognitive behavioural therapy, the most used approach in talk therapy, whose core claim is that emotions and behaviours run downstream of thoughts. He agrees that is broadly true, finds CBT tools genuinely helpful, and notes that CBT ironically has the most in common with biblical counselling. But Scripture carries a category the therapeutic world often does not: we do not only have bad thoughts, we have bad desires upstream of our thoughts. James says our conflicts come from wanting something and not getting it."The tools are great. They're just not everything. There's not one tool that solves life. The only person who solves all of life is Jesus."## Be discerning about who you let counsel youCounsel in a person's heart is deep water, and a person of understanding draws it out. Good counsellors ask good questions and get beneath the surface.Does a therapist need to be a Christian? Andy says it depends on the issue, and that for some things it is close to vital. Marriage is his clearest example, because a counsellor is helping you understand the story you came from and the story you are building, and it helps enormously if they share a Christian understanding of marriage, sexuality, communication, and desire, even if they use plenty of clinical tools alongside it.Better is open reprimand than concealed love, and the wounds of a friend are trustworthy while the kisses of an enemy are excessive. Friends who only ever validate you are not evil, but they will not help you grow. If you talk about your marriage, do it in an honouring way, and be wary if your friends always take your side. You want someone willing to play devil's advocate and ask what you can do, since you are the only person who can do what you can do.Practical advice for choosing, drawing on Eliza Huie's "How to Get the Most Out of Your Counseling," a sixty page book he recommends. Most people do not know they are allowed to interview a counsellor about their modality, their approach, and their worldview. Questions worth asking:How do you integrate your faith and your work?What do you think is wrong with people?Do you ever talk about sin in the work that you do?Will you ever challenge me, even if I do not love it in the moment?What do you specialise in?Licensure tells you what someone is trained in. It tells you nothing about their worldview and nothing about their character. It is a good place to start, not a place to stop. Be wary of anyone who treats everything, the way some restaurants serve cheeseburgers, spaghetti, and sushi off one menu. Andy helped a friend look for OCD treatment and found that of the hundreds of providers listed who said they treated OCD, none listed ERP, the approach both the International OCD Foundation and the American Psychological Association name as the first line treatment. Claiming to treat OCD without it is like claiming to treat bacterial infections without antibiotics.## Engage honestlyThe one who conceals his sins will not prosper, but whoever confesses and renounces them will find mercy. Andy points out what the verse does not say. It does not say concealing is wicked. It says concealing does not work. If you want to lose weight without discussing what you eat, or want your knee treated without describing the pain, you will not get far.Two reasons we are not honest. The first is the fear of man, which Proverbs calls a snare, over against the fear of the Lord, which is the beginning of wisdom. The question is whether you are more aware of what a person thinks of you or what God thinks of you. He notes a related risk: keeping the same therapist for years with no goal, until they function as a friend your insurance covers, at which point you want them to like you and become less honest. The second reason is pride, wanting to be seen a particular way.He also distinguishes being authentic or transparent from being vulnerable. Plenty of people will tell you a great deal, sometimes more than they should about others, without ever being open to having any of it challenged. Vulnerability is being open to someone speaking into it. This cuts the other way too. Not everyone is owed your depths, and dumping ninety minutes of heavy material on a friend who did not ask for it is its own marker of therapy culture.## Work towards a goalThere is profit in all hard work, but endless talk leads only to poverty. A goal means direction rather than a deadline, and it lets a counsellor, pastor, or friend stay within their expertise. Andy cites a clinical psychiatrist who said that having a long term psychologist with no goal is having a bad friend you pay to be your friend.The arithmetic matters. You are awake roughly one hundred and twelve hours a week. A forty five minute session is well under one percent of your life and will not change it on its own. Implementing what you learn during the other ninety nine percent will. It is the personal trainer problem: the workouts do not do themselves.## Seek sanctification over validationA fool does not delight in understanding but only wants to show off his opinions. Wanting to be understood is human and God given. Wanting to change and become like Jesus is a supernatural work of the Spirit. The danger is letting "finding someone who gets me" become the destination of the journey rather than a stage in it, and then asking the church to function as a therapeutic community on those same terms.Andy makes the case that the church has an enormous amount to offer if we engage it rightly. There are people in the room who handle money well and would change your life if you had the humility to open your budget to them. There are people who have worked through hard things in their marriage who could mentor you without being your therapist. He cites Rebecca McLaughlin quoting a Harvard researcher that attending church weekly is "like a miracle drug," with measurable effects on depression, anxiety, self control, addiction, and burnout. Churches are also good places to work through attachment wounds, because good attachment work aims at being able to trust other people rather than depending on one safe person indefinitely, and because Scripture defines how we are allowed to treat one another, which is part of what makes a church safe.He closes on what he calls the most underrated thing, even among Christians: spending time with Jesus. He describes a retreat at a monastery with a group of people mostly in their sixties and seventies, including a retired psychiatric researcher, a doctor and psychiatrist, recently widowed and in real pain, and firmly pro therapy. After several hours of solitude she came back and said she thought she had saved five to ten thousand dollars of therapy in three hours, because it had all been resistance. She knew what she needed to do and did not want to do it."Jesus knows how to lovingly say, I love you, but we got to do this. And he took me by the hand and walked me to where I needed to go. He shepherded me."The flip side he wants to press: when someone says they need help with their marriage, ask whether they have prayed about it, whether they have spent any time asking the Lord how to treat their spouse differently, whether they have looked at what God's word says about parenting or marriage. You may well need tools to obey those commands in a healthy way. The question is whether you started with what God wants.The Spirit is the parakletos, the counsellor, the one who comes alongside, and he loves to give wisdom. James says God gives wisdom generously to those who ask without being double minded, and double minded means you have already made up your mind, so you are not actually open. You want someone to co-sign. You want validation, not revelation."Don't build a life where you protect yourself from hard things that can help you grow."Andy's closing prayer asks that Restored would become a humble people who can receive, and a contemplative people able to sit with an idea or a thought or a passage of Scripture and weigh it in God's presence, rather than running to social media or ChatGPT or a podcast or a friend. Clinical tools can help us do that, but those tools are a sail on a sailboat. We still need God's wind. And it asks that we would believe God's word is better for us than the word of any expert or of ourselves, that his word is not handcuffs but guardrails on a path, keeping us from going off the side of a mountain.Verses referenced:Genesis 3Proverbs 9:8Proverbs 9:10Proverbs 14:23Proverbs 18:2Proverbs 20:5Proverbs 27:5-6Proverbs 28:13Proverbs 29:25Romans 12:2Philippians 4:8James 1:5-8James 4:1-21 Peter 5:7

Thanks for listening, and please follow us on Insta @NHPTalent and www.youtube.com/thePOZcast For all episodes, please check out www.thePOZcast.com   1:40 - Near-death experience 6:58 - The turning point 9:53 - Road to Healing 12:54 - Concept of Awakening in Coaching 16:09 - Journey to Spirituality / Invest in yourself 18:47 - The book; who is it for and key takeaway 21:43 - Key Advice by Dave 23:48 - Live like an Amateur or Pro 26:10 - Dave's North Star

This week on the Hemp Show we're digging into a few of the calendar items we mentioned on last week's show, specifically the run of events in New York state next month. On September 15, Cornell's 10th Annual Grain and Fiber Hemp Field Day comes to the Cornell AgriTech campus in Geneva. The field day will feature a John Deere combine demonstration that will include harvesting grain, drying the grain and putting the fiber harvest on display — baling it, decorticating it and splitting it into bast and hurds. Register here: https://cals.cornell.edu/events/2026-cornell-grain-fiber-hemp-field-day Then, September 16–18, the National Industrial Hemp Council will hold its Global Industrial Hemp Fiber Summit at the Fashion Institute of Technology. The theme is "Seed to Style." Two days of programming will open with a keynote from NIHC president Patrick Atagi before moving through sessions on reaching the sustainable consumer with the Bezos Earth Fund, hemp biocomposites and bioplastics with Cameron McIntosh of Americhanvre and Greg Wilson of HempWood, USDA research and natural-fiber partnerships across flax, cotton and hemp. Register here: https://nihcglobalsummit.com/ Day two of the event runs from field to fiber through equipment and processing, Latin American fiber opportunities and an international industry panel. The event will closes with "Back to the Future: Bringing Hemp Back to the Textile Mainstream," featuring Maciej Kowalski of Kombinat Konopny and "Concept to Catwalk," a look at hemp luxury moderated by Farm to Fabric's own Jen Adams. The event will be capped by an evening reception and fashion showcase. And that all leads up to Farm to Fabric, a hemp textile symposium running September 18-20 at the Brooklyn Peace Center and on Governor's Island as part of New York Textile Month. It's a free event, open to the public, with NIHC as the title sponsor. On September 18-19, the Brooklyn Peace Center feature a pop-up hemp store, a technology and digital creation room, and the Farm to Fabric Experience, where members of the Tuscarora tribe will show the historical process of pulling fiber from the stalk and turning it into yarn. On September 20, the event will continue on Governor's Island for the Julian Magazine release and a fashion presentation. This episode features a conversation with Jen Adams, organizer of the hemp fashion event in Brooklyn, who said her organization, Choose Your Change, "chose industrial hemp as a subject matter to show the breadth of what we do as an organization, but also to try to elevate and get the stories and voices in the hemp industry." Register here: https://www.fluidforms.co/f/cyc All this and more on this week's show, including a news nugget/calendar item about The Hemp Feed Coalition's upcoming webinar on August 20, a free session on Canada's hemp seed meal feed ingredient application. Register for the webinar here: https://hempfeedcoalition.org/webinar-series/ USDA Germplasm Bonus Event After we made the audio for this episode, we received an email from Zach Stansell, the USDA hemp germplasm curator to invite me to the USDA Hemp Stakeholder Engagement Event on September 10 at Cornell AgriTech's Jordan Hall in Geneva — five days ahead of the Field Day. It's free, no registration, in person or online, with a full day of USDA-ARS talks and a stakeholder roundtable on the future of hemp research. If you're headed to Geneva, get there early. Learn more here: https://hemp.cals.cornell.edu/2026/08/05/usda-hemp-stakeholder-engagement-event-september-10/ Thanks to Our Sponsors Americhanvre Cast Hemp americhanvre.com IND Hemp indhemp.com Forever Green — KP4 Hemp Cutter hempcutter.com

Show SummaryAs military-connected students head back to school, we're revisiting a conversation with Mary Bier, MBA, President and CEO of the Military Child Education Coalition (MCEC). Mary joins host Duane France to discuss the unique educational experiences of military-connected children, the challenges families can face navigating school transitions, and how MCEC helps families, educators, and communities support military students throughout their educational journey.Episode Partner:Our sponsor this week is Aetna, a trusted health care company, committed to serving Veterans, military families, and caregivers through meaningful, community-centered care. Provide FeedbackAs a dedicated member of the audience, we would like to hear from you. If you PsychArmor has helped you learn, grow, and support those who've served and those who care for them, we would appreciate hearing your story. Please follow this link to share how PsychArmor has helped you in your service journey Share PsychArmor StoriesAbout Today's GuestMary Bier, MBA, is the President and Chief Executive Officer of the Military Child Education Coalition (MCEC). A seasoned leader with more than 20 years of experience in business strategy, organizational leadership, and community engagement, she brings a dynamic vision to MCEC's mission of ensuring every military-connected child has access to quality educational opportunities.As a military spouse and parent, Bier has firsthand insight into the unique challenges and strengths of military families. This lived experience fuels her passion for advocating for military-connected students, ensuring they receive the educational support and opportunities they deserve.Bier's professional background spans both the corporate and nonprofit sectors, where she has successfully led high-impact initiatives, built collaborative partnerships, and served as a subject matter expert on veteran and military family issues. She has been invited to the White House to share insights on military-connected programs, testified before the New York City Department of Veteran Affairs, and facilitated expert panels on military family well-being.Prior to joining MCEC, Bier held leadership roles in business strategy, customer success, and military initiatives, where she was instrumental in scaling operations, optimizing talent development, and fostering inclusive organizational cultures. Her ability to translate strategic goals into actionable outcomes has driven mission impact across multiple organizations.At MCEC, Bier is committed to expanding the organization's reach, deepening partnerships, and championing the needs of military-connected children. Under her leadership, MCEC will continue to be a trusted resource for families, educators, and policymakers dedicated to supporting military students on their educational journey.Bier holds a Master of Business Administration (MBA) with a focus on Management and Organizational Behavior and a Bachelor of Arts in Spanish from California Lutheran University.She resides with her family in Madison, Wisconsin.Links Mentioned During the EpisodeMilitary Child Education Coalition Website Heroic Hearts ScholarshipCall for the Arts ScholarshipMonth of the Military Child ToolkitPurple Star National AdvocateStudent to Student ProgramPsychArmor Resource of the WeekThis week's resource of the week is the PsychArmor course, Supporting Children Who Support Veterans. Although your children may be small now, we hope this course gives you some building blocks to address any parenting challenges you may encounter as your children mature.You can find the resource here: https://learn.psycharmor.org/courses/Supporting-Children-Who-Support-Veterans  Contact Us and Join Us on Social Media Email PsychArmorPsychArmor on XPsychArmor on FacebookPsychArmor on YouTubePsychArmor on LinkedInPsychArmor on InstagramTheme MusicOur theme music Don't Kill the Messenger was written and performed by Navy Veteran Jerry Maniscalco, in cooperation with Operation Encore, a non profit committed to supporting singer/songwriter and musicians across the military and Veteran communities.Producer and Host Duane France is a retired Army Noncommissioned Officer, combat veteran, and clinical mental health counselor for service members, veterans, and their families.  You can find more about the work that he is doing at www.veteranmentalhealth.com  

The boys discuss changes at Star Wars, the Hero's Journey, and Cosmic Evil.

Felipe and Wendy Bravo from Fox Tale Fermentation Project in San Jose join Herlinda Heras on Brew Ha Ha today. This is their first time on the show for them and for their dogs too. Herlinda met them at the Freshtival, when Sayre Pietrowski introduced her. They drove here all the way from San José. They will be at Suds Francisco on August 23, 2026, which the Bay Area Brewers Guild is putting on at Salesforce Park. So if you are still in time, tickets are available online, here.    Wendy and Felipe are married and are also the co-owners of Fox Tale. Wendy is the chef and Felipe is the brewmaster. Felipe remembers starting as a home brewer 15 years ago. Their location has been on the Guy Fieri show Diners, Drive-Ins and Dives on Food Network and also on Check, Please! on KQED.   Felipe explains that Fox Tale is a business based on the exploration of all all things fermented. This includes foods and beverages. Vinegars, syrups and kombucha are just three examples. There are flavors and aromas to be created in foods as well as beverages. A lot of the food they serve is grown locally. Tale in the name represents a story, a narrative of the diverse food culture in the Bay Area.   ******Visit our sponsor Pro Chiller online for all the info about their new CO2-based Pro Green Solutions. ProChiller Green will be performing a Proof of Concept test at Hanabi Lager on August 20, 2026, to demonstrate the ProGreen Chiller in a brewery.****** From Holistic Nutrition to Fox Tale Chef Wendy moved to California from Michigan at 18 and got a job in a vegan and craft beer bar. There, she learned about what made her feel healthy and she continued on the path of plant-based foods. She studied Holistic Nutrition at Bauman College and it was “absolutely life changing.” Then she worked in the kitchen at the book of face. She worked in massive kitchens and considered it R&D. “How do you make super foods for like 300 people, for lunch?” She had to produce a new menu every week, so that required her to come up with lots of ideas.   ++++++Visit Russian River Brewing Co. in Santa Rosa on 4th St. and at their big Windsor location. Check out their website and socials for up-to-date hours, menus, beers and more.++++++   Felipe went to undergraduate and graduate school at Cal Poly San Luis Obispo, where he studied electrical engineering. Firestone Walker brewery was there so he began to like craft beer then. He wanted to make an aut0mated home brewing system for a Master’s thesis. His advisor asked if he had worked in a brewery. He decided to look into brewing to learn about that, and loved it and stayed with it. It was a tough decision but he progressed his career as a brewery. He started at Central Coast Brewery in San Luis Obispo. Later he worked at Devil’s Canyon in San Carlos and then ended up at Fort Point in San Francisco. Experiences and Hospitality at Fox Tale Wendy explains what the “Project” part of the Fox Tale Fermentation Project means to them. They come up with ideas that are sometimes new sometimes familiary. She likes to experiment with fruits, flowers, grains and herbs. They aren’t vegan themselves but they feel really good about serving all plant-based food.   

If each one of us was custom-created to fit into God's design for our world, why don't more of us feel a sense of fulfillment? Dr. Tony Evans explains the concept of calling and how discovering your unique God-given purpose can change the way you approach your life.

If each one of us was custom-created to fit into God's design for our world, why don't more of us feel a sense of fulfillment? Dr. Tony Evans addresses that question next time on The Alternative as he talks about how to discover your unique purpose on this planet.

If each one of us was custom-created to fit into God's design for our world, why don't more of us feel a sense of fulfillment? Dr. Tony Evans addresses that question next time on The Alternative as he talks about how to discover your unique purpose on this planet.

Today, we explore the world of ancient Greece and the king of the gods, Zeus—from his etymology and his rise to power during the Clash of the Titans to his lasting legacy as Jupiter. Welcome to History Camp!

Marianne Downing has a master's degree in Education (counseling) and began her career as a therapist before combining it with various roles within the nonprofit sector. She has been an entrepreneur since 2002. Since becoming a Latter-day Saint, Marianne served in the New Zealand Auckland mission, and as Relief Society president, counselor in her stake Primary presidency, stake Relief Society president, early morning Seminary teacher, and Young Women president. While living in Paris, France, she was called as part of a committee by the European Area Presidency to establish LDS Family Services in the French-speaking areas of France, Switzerland, and Belgium. She currently serves as a ward missionary. Alan Downing has a bachelor's degree in music from the Hartt School of Music. He sang professionally for ten years, including in synagogues and churches, while also working as an IT administrator with IBM, Verizon, and Wyeth Pharmaceuticals. He left the corporate world to become a life coach and has created several men's retreats and trainings. He has led or staffed well over 100 experiential retreats in the United States, Europe, and South and Central America. After his conversion as a Latter-day Saint, he served in the France Toulouse Mission, and has served in callings including as a member of his stake high council, elders quorum counselor, Sunday School teacher, ward finance clerk, ward and stake executive secretary, and many positions related to music. He currently serves as a ward music chairperson. Alan and Marianne are co-founders of the nonprofit organization, Discover Identity, and are both identity coaches. Alan is also on the board of the Utah Valley Interfaith Association and Marianne is a founding member of the Utah Valley Women Leadership Collaborative (now the Bolder Way Forward of Utah Valley). Alan and Marianne are the parents of a blended family of six children and 11—soon to be 12—grandchildren between the United States and New Zealand. Links Your Mission Aligned, nonprofit coaching services Discover Identity, nonprofit retreats Watch the video and share your thoughts in the Zion Lab community Transcript available with the video in the Zion Lab community Highlights Alan and Marianne Downing discuss the concept of identity and its significance in personal development and leadership within the Latter-day Saint community. They emphasize the importance of understanding one’s identity beyond roles and societal expectations, particularly during life transitions. Key Insights Identity Exploration: The fundamental question of “Who am I?” is central to personal growth. Identity is not static; it evolves through life experiences and transitions, such as changes in church callings or family dynamics. Deeper Understanding: True identity goes beyond titles like “mother” or “bishop.” It involves understanding personal values, beliefs, and what makes each individual unique. Belonging vs. Fitting In: There is a distinction between belonging (sharing core beliefs) and fitting in (conforming to external expectations). Leaders should encourage individuality within the community to enhance unity. Risk and Growth: Personal growth often requires taking risks and stepping outside comfort zones. Experiences, such as retreats, can facilitate deeper understanding and wisdom. Mature vs. Immature Identity: Immature identity relies on external validation, while mature identity is anchored in self-awareness and allows for flexibility and growth. Leadership Applications Encourage Individuality: Leaders can foster an environment where members feel safe to express their unique identities, which can enhance community strength and diversity. Facilitate Experiences: Organizing smaller group discussions or experiential learning opportunities can help members explore their identities and support each other through personal challenges. Model Vulnerability: Leaders should be open about their own identity journeys, demonstrating that it is acceptable to question and explore one’s faith and personal growth, thereby creating a culture of openness and support. 00:05:07 – The Concept of Identity 00:06:40 – Exploring Identity Beyond Roles 00:08:07 – The Depth of Identity in the Gospel 00:09:32 – The Paradox of Identity and Individuality 00:10:29 – Navigating Group Identity vs. Individual Identity 00:12:28 – Personal Experiences with Identity 00:15:00 – The Downings’ Journey into Identity Work 00:18:01 – The Importance of Self-Discovery 00:20:40 – The Role of Experience in Identity Formation 00:24:40 – The Balance of Self and God's Expectations 00:26:41 – Mature vs. Immature Identity 00:30:12 – The Role of Risk in Growth 00:32:15 – Experiential Learning and Retreats 00:34:22 – The Need for Community in Personal Growth 00:36:47 – The Importance of Anchors in Identity 00:39:14 – Embracing the Journey of Identity The award-winning Leading Saints Podcast is one of the top independent Latter-day Saints podcasts as part of nonprofit Leading Saints’ mission to help Latter-day Saints be better prepared to lead. Find Leadership Tools, Courses, and Community for Latter-day Saint leaders in the Zion Lab community. Learn more and listen to any of the past episodes for free at LeadingSaints.org. Past guests include Emily Belle Freeman, David Butler, Hank Smith, John Bytheway, Reyna and Elena Aburto, Liz Wiseman, Stephen M. R. Covey, Benjamin Hardy, Elder Alvin F. Meredith III, Julie Beck, Brad Wilcox, Jody Moore, Tony Overbay, John H. Groberg, Elaine Dalton, Tad R. Callister, Lynn G. Robbins, J. Devn Cornish, Bonnie Oscarson, Dennis B. Neuenschwander, Kirby Heyborne, Taysom Hill, Coaches Jennifer Rockwood and Brandon Doman, Anthony Sweat, John Hilton III, Barbara Morgan Gardner, Blair Hodges, Whitney Johnson, Ryan Gottfredson, Greg McKeown, Ganel-Lyn Condie, Michael Goodman, Wendy Ulrich, Richard Ostler, and many more in over 800 episodes. Discover podcasts, articles, virtual conferences, and live events related to callings such as the bishopric, Relief Society, elders quorum, Primary, youth leadership, stake leadership, ward mission, ward council, young adults, ministering, and teaching.

Life insurance is about far more than a death benefit. In this exclusive interview, Caleb Guilliams sits down with industry legend Van Mueller to explain how cash value life insurance can be used throughout your lifetime to create liquidity, protect your wealth, supplement retirement, reduce financial risk, and leave a lasting legacy. He also gives his agent playbook on how to actually show people the value of life insurance.Watch the Interview on Youtube for Visuals - https://youtu.be/fwUbh2BiWBsWant to See If Whole Life Insurance Can Improve Your Financial Plan? Schedule Your Clarity Call Here: https://bttr.ly/bw-yt-aa-clarityWant Us To Review Your Permanent Life Insurance Policy? Click Here: https://bttr.ly/yt-policy-reviewWant Free Whole Life Insurance Resources & Education? Go Here: https://bttr.ly/yt-bw-vaultLearn More About BetterWealth: https://betterwealth.comChapters:0:00 - Introduction5:17 - Early Career Challenges9:05 - Turning Point and Career Shift14:50 - AI and Human Relationships16:00 - Learning Life Insurance Sales20:45 - The Power of Practice24:35 - Getting More Appointments27:56 - Prospecting Strategy32:56 - Living Benefits of Life Insurance37:26 - Streamlined Sales Presentations38:31 - Avoiding Fact-Finding Friction40:33 - Casual Networking Techniques43:58 - Value of Cash Value Insurance48:43 - Questions for Younger Clients51:30 - The Importance of Asking Opinions53:13 - Financial Professional vs. Advisor56:05 - Handling Market Volatility59:19 - Opportunity vs. Pain Points1:00:48 - Designing Retirement Strategies1:02:46 - The Concept of Trust1:04:40 - Explaining Interest Rate Strategies1:10:33 - Practicing Like a Pro1:14:00 - Efficiency in Financial Planning1:16:05 - Belief in Life Insurance1:19:04 - Roth IRA and Tax Strategy1:22:24 - Managing Economic Uncertainty1:23:40 - Addressing Competitors and Critics1:27:27 - The Cost of Self-Insuring1:28:48 - Career Lessons and PhilosophyDISCLAIMER: https://bttr.ly/aapolicy*This video is for entertainment purposes only and is not financial or legal advice.Financial Advice Disclaimer: All content on this channel is for education, discussion, and illustrative purposes only and should not be construed as professional financial advice or recommendation. Should you need such advice, consult a licensed financial or tax advisor. No guarantee is given regarding the accuracy of the information on this channel. Neither host nor guests can be held responsible for any direct or incidental loss incurred by applying any of the information offered.

Today's guest wrote "The Climb." She also wrote "I Drive Your Truck," "Mine Would Be You," "Don't Think Jesus," and "Ain't No Love in Oklahoma." But her real story isn't the hits. It's the ten years before the first one, the five years after it when the phone stopped ringing, and what she figured out in between about how to actually last in this business.From a dropped record deal and years as what she calls a washed-up artist nobody would write with, to Song of the Year, a Grammy nomination, and a run of hits she wrote while raising three kids under three. She carries three things at once that almost no writer figures out how to hold together: a working method she can actually teach, a conviction that this is a calling and not a job, and a refusal to write the safe version of anything.And The Writer Is... Jessi Alexander!Hit subscribe and turn on notifications. Every week, we go deep with the most interesting creatives in music.Follow us on socials: @andthewriterisA special thank you to our sponsors for making these conversations possible.Our lead sponsor, NMPA — the National Music Publishers' Association. Your support means the world to us.0:00 Intro0:48 Her favorite non-songwriting songwriter trick1:54 "How do you make unavailable country men emotional?"5:33 The five songs on her Hall of Fame plaque11:07 Pool halls and stick shifts: "that color is what I draw from"12:42 The artist deal that fizzled — "I wasn't the artist type"13:31 No man's land: "no one took me seriously, I was a washed-up artist"14:01 The insane story behind writing The Climb: "just another damn day"20:11 Bud Light, a guitar pull, and a British director22:07 Being told The Climb would change her life "Sir, that doesnt happen to people like me"28:08 Nashville still said No30:38 Getting men to sing: long notes and the falsetto flip31:44 "What part of their tool belt have they not used?"34:32 The professor who told her to quit school36:18 Her album, the mergers, and Redneck Woman40:27 New mom: "they'll just put someone else in my spot"45:30 Good mom or good at work — never both46:16 2015 to 2020: "the water just turned off"48:23 Advice for the writer whose phone stopped ringing50:24 The song that rang every bell57:21 Concept-first or melody-first: "I'm the director"61:16 Songwriters own it. Screenwriters sell it.64:16 Imposter syndrome and the Billy Strings answer65:24 What makes Morgan Wallen great69:46 "I don't like to not know where all the bodies are buried"71:43 I Drive Your Truck (Crazy story)74:37 Her granddad's truck in the driveway75:44 "Call in the third. Call in the fourth. Call in the 10th."76:46 No #1 party until they found him80:36 The truck-song traffic jam they were worried sick about85:38 "Keep your head down." Still the only answer.Credits:Hosted by Ross GolanProduced by Joe London & Jad Saad Hosted on Acast. See acast.com/privacy for more information.

David Davenport provides a historical overview of how the concept of equality of opportunity has evolved from the American founding to the modern era. The discussion explains that while the Founders initially focused on dismantling European systems of caste and class, later leaders like Abraham Lincoln and Woodrow Wilson expanded federal power to address slavery and industrialization. As the frontier closed, the government shifted from merely protecting natural rights to actively managing social and economic outcomes. Franklin D. Roosevelt and Lyndon B. Johnson furthered this trend by implementing New Deal and Great Society programs aimed at correcting systemic poverty. Conversely, Ronald Reagan sought to revive the original philosophy by reducing government intervention and promoting individualism. Ultimately, the discussion highlights a contemporary shift in language where the traditional ideal of equality is increasingly being replaced by the more ambiguous term equity. (1)1800 BOSTON TREMONT STREET