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Siva Yellamraju is the co-founder and CEO of Fourier, a company building modular, on-site hydrogen systems for long-duration energy storage and distributed hydrogen production. Fourier's approach combines lithium-ion batteries for short-duration needs with hydrogen storage for longer durations, packaged into a single system designed to operate like a microgrid. In this episode of Inevitable, Yellamraju explains why hydrogen has long been considered promising for multi-day, seasonal, and even multi-year energy storage, but has struggled because of the cost and complexity of transporting it. He argues that producing hydrogen where it is needed can remove that transportation challenge and unlock a different cost curve for long-duration storage. The conversation explores Fourier's modular “hydrogen blade” architecture, its first storage deployment in Gujarat, India, and the growing demand for alternatives to diesel generators as data centers require increasingly large amounts of backup power. Yellamraju also discusses why levelized cost of storage matters more than round-trip efficiency, India's potential role in energy manufacturing, and his transition from software and data centers into building physical energy infrastructure. Note: Fourier is an MCJ portfolio company. Episode recorded on August 5, 2026 (Published on September 1, 2026). In this episode, we cover: (0:00) An overview of Fourier (1:33) Why hydrogen could work for long-duration energy storage (4:12) Why centralized hydrogen production creates a transportation problem (5:31) Making hydrogen storage operate like a battery (7:08) Why levelized cost matters more than round-trip efficiency (10:08) How hydrogen stores and returns energy (12:22) How long hydrogen can remain stored (13:45) Fourier's battery-plus-hydrogen microgrid architecture (14:24) Why Fourier uses a modular “hydrogen blade” design (15:51) Combining lithium-ion batteries with hydrogen for all storage durations (16:19) How Fourier's software optimizes storage, lifetime, and ROI (17:47) Fourier's first commercial storage deployment in Gujarat (19:53) Why Fourier is expanding from hydrogen feedstock into energy storage (20:32) How AI and data center growth accelerated demand for long-duration storage (24:24) Replacing diesel generators and solving multiple power needs with one system (26:55) How hydrogen storage compares with iron-air batteries (27:50) Why India could become a major energy manufacturing and hydrogen hub (30:10) The engineering and manufacturing talent Fourier is hiring (30:39) Transitioning from software to physical energy infrastructure (34:11) Scaling Fourier to meet growing demand for energy storage Enjoyed this episode? Please leave us a review! Share feedback or suggest future topics and guests at info@mcj.vc.Connect with MCJ:Cody Simms on LinkedInVisit mcj.vcSubscribe to the MCJ Newsletter*Editing and post-production work for this episode was provided by The Podcast Consultant

Christopher's linkshttps://rumble.com/v701rvy--wake-up-theyre-poisoning-you-with-water-food-air-and-5g.htmlhttps://www.christiskey.life/ use code FKN at checkout https://www.nutronicslabs.com/apps/rebuy/cart?variants%5B42562237890712%5D%5Bquantity%5D=1&clear_cart=yes&discount=11&landing_page=https%3A%2F%2Fwww.nutronicslabs.com%2Fcollections%2Fbest-sellers&smart_cart_show=noForbidden Knowledge Network https://forbiddenknowledge.news/ FKN Link Treehttps://linktr.ee/FKNlinksMake a Donation to Forbidden Knowledge News https://www.paypal.me/forbiddenknowledgenehttps://buymeacoffee.com/forbiddenFKN Merch!https://galactecfire.com/fkn/pGet C60 Power now!https://go.shopc60.com/3J67C/KMKS9/Code: FORBIDDEN10We are back on YouTube! https://youtube.com/@forbiddenknowledgenews?si=XQhXCjteMKYNUJSjBackup channelhttps://youtube.com/@fknshow1?si=tIoIjpUGeSoRNaEsDoors of Perception is available now on Amazon Prime!https://watch.amazon.com/detail?gti=amzn1.dv.gti.8a60e6c7-678d-4502-b335-adfbb30697b8&ref_=atv_lp_share_mv&r=webDoors of Perception official trailerhttps://youtu.be/F-VJ01kMSII?si=Ee6xwtUONA18HNLZListen to Forbidden Knowledge News on clearair.fm every Tuesday, Thursday, and Saturday 12:15pm CSThttps://clearair.fm/Pick up Independent Media Token herehttps://www.independentmediatoken.com/Be prepared for any emergency with Prep Starts Now!https://prepstartsnow.com/discount/FKNStart your microdosing journey with BrainsupremeGet 15% off your order here!!https://brainsupreme.co/FKN15Book a free consultation with Jennifer Halcame Emailjenniferhalcame@gmail.comFacebook pagehttps://www.facebook.com/profile.php?id=61561665957079&mibextid=ZbWKwLWatch The Forbidden Documentary: Occult Louisiana on Tubi: https://link.tubi.tv/pGXW6chxCJbJohnny Larson's artworkhttps://www.patreon.com/JohnnyLarsonSign up on Rokfin!https://rokfin.com/fknplusPodcastshttps://www.spreaker.com/show/forbiddenAvailable on all platforms Support FKN on Spreaker https://spreaker.page.link/KoPgfbEq8kcsR5oj9FKN ON Rumblehttps://rumble.com/c/FKNpGet Cory Hughes books!Lee Harvey Oswald In Black and White https://www.amazon.com/dp/B0FJ2PQJRMA Warning From History Audio bookhttps://buymeacoffee.com/jfkbook/e/392579https://www.buymeacoffee.com/jfkbookhttps://www.amazon.com/Warning-History-Cory-Hughes/dp/B0CL14VQY6/ref=mp_s_a_1_1?crid=72HEFZQA7TAP&keywords=a+warning+from+history+cory+hughes&qid=1698861279&sprefix=a+warning+fro%2Caps%2C121&sr=8-1https://coryhughes.org/Our Facebook pageshttps://www.facebook.com/forbiddenknowledgenewsconspiracy/https://www.facebook.com/FKNNetwork/Instagram @forbiddenknowledgenews1@forbiddenknowledgenetworkXhttps://x.com/ForbiddenKnow10?t=uO5AqEtDuHdF9fXYtCUtfw&s=09Email Forbidden Knowledge News forbiddenknowledgenews@gmail.comsome music thanks to:https://www.bensound.com/ULFAPO3OJSCGN8LDDGLBEYNSIXA6EMZJ5FUXWYNC6WJNJKRS8DH27IXE3D73E97DC6JMAFZLSZDGTWFIBecome a supporter of this podcast: https://www.spreaker.com/podcast/forbidden-knowledge-news--3589233/support.

"When something becomes a measurement, it stops becoming a good target." In a world obsessed with digital efficiency and quick fixes, the real currency of a meaningful life remains independent thought, presence, and intentional effort. In this episode of Gratitude Through Hard Times, host Chris Schembra sits down with Nishat Mehta, CEO of Lexitas. A Harvard-trained mathematician and computer scientist turned executive, Nishat breaks down how leaders can navigate rapid change by embracing dialectical thinking—holding two seemingly competing truths at the same time. From balancing bottom-line performance with human empathy to shifting parenting styles as children grow, Nishat shares key insights on Goodhart's Law, confident humility, and finding extraordinary meaning in ordinary moments. 10 Memorable Quotes: "The new normal is that it will just keep changing. It really comes down to the ability to accept the change yourself and then lead the change amongst those around you." — Nishat Mehta "Confident humility balances high confidence in one's ability to figure things out with low ego regarding one's own current knowledge." — Chris Schembra "When something becomes a measurement, it stops becoming a good target." — Nishat Mehta "Always find the extraordinary in the ordinary." — Chris Schembra "Everything is on a spectrum... the edges of the spectrum are rarely the right answer." — Nishat Mehta "Efficiency increases consumption if you're not careful." — Chris Schembra "The journey is far more important than the destination... if we are constantly changing, it's because we are succeeding at the things we needed to do before." — Nishat Mehta "We must step out of the tyranny of the 'or' and into the genius of the 'and'." — Chris Schembra "Great work is something you're supposed to do, but recognizing what might seem ordinary is worthy of extraordinary gratitude." — Nishat Mehta "Gratitude doesn't change your circumstances; it changes your capacity to carry them." — Chris Schembra 10 Key Takeaways: Practicing Confident Humility: Balancing low ego regarding current knowledge with high confidence in a team's adaptability to solve complex, unfamiliar problems. Overcoming Goodhart's Law: Why single metrics distort business outcomes, and how pairing competing targets (like quantity vs. quality) maintains operational integrity. The "Genius of the 'And'": Replacing rigid "either/or" tradeoffs with dialectical thinking that unites radical acceptance with proactive change. Navigating Shifts in Family & Parenting: Transitioning from physical, hands-on care for young children to emotional, social mentorship as they grow into independence. Understanding Jevons Paradox in Modern Work: Recognizing how efficiency gains from AI can be swallowed by routine busyness unless leaders intentionally safeguard time for human connection. Harnessing "Collective Effervescence": Leveraging physical experiences, shared sports, and community gatherings to foster genuine human harmony and connection. Lowering Barriers to Access Justice: Applying technology and low-level AI guidance to make legal support more affordable, equitable, and fair. Change Management as a Core Leadership Skill: Shifting focus from day-to-day tactical execution toward building organizational consensus and motivating teams through continuous evolution. Finding Extraordinary Meaning in Ordinary Moments: Cultivating daily awareness to appreciate quiet family routines and ordinary acts of care that are often taken for granted. Embracing the Business Journey Over Destinations: Accepting that strategic goals evolve naturally as progress is made, making the growth process the ultimate measure of success. About our Guest: Nishat Mehta is the Chief Executive Officer of Lexitas, a leading national provider of technology-enabled litigation services and an Apax portfolio company based in Houston, Texas. He stepped into the CEO seat on January 1, 2025, having originally joined the company as President and Chief Operating Officer in March 2024. Under his leadership, Lexitas is launching AI-enabled deposition analysis, expanding its eLaw case-tracking platform, and continuing to serve law firms, insurance companies, and corporations across all 50 states. Nishat brings more than two decades of leadership across data, analytics, and enterprise technology. He most recently served as President of Global Products and Solutions and Chief Product Officer at Circana (formed from the merger of IRI and The NPD Group), where he ran the firm's global media, analytics, e-commerce, software, and consulting divisions. Prior to Circana, he led the customer communications team at 84.51° (Kroger's data-science and personalization arm), directed strategic partnerships at dunnhumby, and spent 15 years at MicroStrategy. He also serves on the Board of Directors of The E.W. Scripps Company (NASDAQ: SSP) and on the Board of Advisors of Adelaide Metrics. Nishat holds a Bachelor's degree in Applied Mathematics and a Master's degree in Computer Science, both from Harvard University. He lives in New York with his wife, Shalini, and their three children. His guiding quote, from John Wooden: ability may get you to the top, but it takes character to keep you there.

Bradley Barcola's arrival gives Liverpool another explosive dimension, but expecting one signing to recreate Mohamed Salah would misunderstand what comes next. By adding Barcola while keeping Cody Gakpo, Liverpool are assembling an attack built on depth, movement and different weapons — giving Iraola greater possibilities while leaving the team's most important structural questions unresolved.⚽

The United States is burning through some of its most advanced munitions in its war with Iran this year. By some accounts, inventories of high-end Patriot and THAAD interceptors may be depleted by as much as 80 percent. Replacing them could take years, even as military planners worry about needs in Europe and the Indo-Pacific. Tom Karako, director of the Center for Strategic and International Studies' Missile Defense Project, has tracked just how deep the shortfall runs and what it would take to fix it. He joins FP Live to assess the state of U.S. stockpiles and what it means about the future of American preparedness. John Haltiwanger and Rishi Iyengar: The Iran War Has Left the U.S. Dangerously Exposed Sam Skove: U.S. War in Iran Leaves Ukraine's Air Defense in Limbo Robert Almelor Delfeld: The U.S. Munitions Deficit Is a Political Problem Franz-Stefan Gady: Europe's Dangerous Hesitation on Its Own Air Defense Learn more about your ad choices. Visit megaphone.fm/adchoices

Thanks for listening, and please follow us on Insta @NHPTalent and www.youtube.com/thePOZcast For all episodes, please check out www.thePOZcast.com #thePOZcast is proud to welcome Dalia as our newest partner. Dalia helps employers convert more career-site traffic into qualified applicants by giving job seekers a universal candidate profile that eliminates repetitive applications and streamlines the application process. Learn more (link below) https://www.dalia.co/audit?utm_source=pos About: I'm joined by two leaders who have built careers around one simple idea: great businesses are built by great people. First is Josh Robinson, a transformational executive with more than 20 years of experience leading finance, technology, and business strategy across organizations ranging from $50 million to $7 billion in revenue. Josh is known for building high-performing teams, creating cultures that attract top talent, and helping companies think big, start small, and scale fast. Joining him is Mike Nathan, a Navy veteran, entrepreneur, investor, and startup builder who's helped launch, advise, and invest in more than a dozen companies across industries. From Search & Rescue Swimmer to founder, board member, and operator, Mike believes that business is one of the most powerful vehicles for creating meaningful impact for people and communities. Together, Josh and Mike bring an incredible combination of operational excellence, entrepreneurial grit, and people-first leadership. I'm excited to dive into their journeys, what they've learned building companies and cultures, and where they see the future of work and leadership heading next. Key Takeaways: Not every high performer should become a manager. Companies need meaningful advancement paths for strong individual contributors instead of forcing them into leadership roles they may not want or be equipped for. Leadership is less about having every answer and more about building the right team. Great leaders trust subject-matter experts, ask better questions, and create the conditions for others to execute. Authenticity builds more trust than pretending to know everything. Employees respond better to leaders who admit what they do not know and work alongside the team to find the answer. Conviction can matter as much as competency. Skills may get someone through the interview process, but genuine belief in the company's mission determines whether they will remain committed when things get difficult. A founder's ability to delegate is a critical indicator of scalability. Founders who constantly say “I,” control every decision, and cannot step away will eventually become the bottleneck in their own business. Raising capital should serve a specific goal, not someone's ego. Companies should pursue funding when it accelerates product development, sales, expansion, or a planned exit, not because announcing a major round has become a status symbol. AI is creating the rise of the “Army of One.” Individuals and small teams can now use AI, outsourcing, and personal branding to produce the output and profitability once associated with much larger organizations. Take the “Army of One” seriously, but not literally. AI can dramatically increase individual productivity, but growing companies will still need talented people when complexity, scale, and human connection demand them. Replacing employees with AI is often the wrong strategy. The greater opportunity is to give employees AI tools, remove repetitive work, and redeploy people into more valuable roles that improve service and generate revenue. The professionals who thrive will combine expertise with AI fluency. Human judgment, technical knowledge, and relationship skills will remain valuable, but people who fail to learn how to apply AI within their field risk being left behind.     Chapters 00:00 Introduction to Leadership and Impact 01:43 Personal Leadership Journeys 05:19 The Role of Individual Contributors vs. Leaders 08:12 Evolving Beliefs About Leadership 09:48 Hiring Talent vs. Building Executable Teams 12:44 Evaluating Founders and Their Potential 14:43 Post-Mortem Analysis of Failed Startups 15:52 The Right Time to Raise Capital 17:52 The Army of One Myth and AI's Role 26:51 AI's Impact on Jobs and Company Culture 32:28 The Importance of Human Expertise in a Tech-Driven World 33:16 Hiring for Heart: The Key to Successful Interviews 35:21 Assessing Compatibility: The Role of Personality in Hiring 37:49 Radical Transparency in Leadership and Its Challenges 41:33 Risky Decisions: Career Moments That Changed Everything 45:06 Debunking Business Clichés: What Needs to Die 47:40 AI: Signal or Hype? Perspectives on Job Disruption 51:57 Investing in Healthcare: The Future of Tech-Enabled Solutions 54:13 Legacy: What Do We Want to Be Remembered For? 55:36 Defining Success: Balancing Personal and Professional Life    

In this special episode, Rent To Retirement founder Zach LeMaster joins the Lifestyle Dentist Podcast to share how he went from practicing optometry to building a real estate portfolio that ultimately gave his family financial independence.Zach shares how he and his wife used rental real estate to gradually replace their active income, giving them the freedom to continue practicing healthcare because they enjoy it—not because they financially have to. The conversation explores passive income, long-term wealth creation, real estate tax advantages, cost segregation, leverage, and how busy professionals can invest without turning real estate into another full-time job.

What if your Bible study time doesn't have to be perfect for God to meet you there? In this powerful conversation, Elizabeth Santelman shares the deeply personal story behind her new Bible study, Gently Tended. After becoming a mother, experiencing health challenges, and entering a season where she simply didn't have the capacity to study Scripture the way she once had, Elizabeth discovered a freeing truth: God isn't waiting for us to climb a mountain to reach Him—He is already with us. Elizabeth and Reagan talk about what it looks like to seek God when life is overwhelming, how prayer can begin with simply bringing our stress and emotions to Him, and why spiritual disciplines are meant to help us remember God's presence, not earn it. They also explore biblical meditation, replacing the negative “scripts” running through our minds with God's truth, practicing gratitude when life doesn't go as planned, and the danger of putting a Bible teacher or study above Jesus Himself. Elizabeth explains why Gently Tended is intentionally designed as a “choose your own adventure” Bible study—one that meets women wherever they are in their current season and capacity. Whether you have time for one verse, a few questions, or a deeper study, the goal is the same: take one small step toward Jesus. In This Episode Why Bible study can feel overwhelming in busy seasons of life The surprising story behind Gently Tended Why God doesn't need us to “get closer” to Him How spiritual disciplines help us remember God Turning overwhelm into prayer The power of gratitude when life doesn't go according to plan What biblical Christian meditation really looks like Replacing negative thought patterns with God's truth Why we should never put a Bible study above Jesus How to study Scripture when you only have a few minutes Why small, faithful steps can transform our relationship with God Find more from Revelations Podcast hosted by Reagan Kramer: Website | Instagram | Apple Podcast | Youtube Find more on Elizabeth: Gently Tended: https://a.co/d/0e1hYXak Website: https://sunshineinmynest.com/ Instagram: https://Instagram.com/sunshineinmynest Become Part of Our Mission! Support The Revelations Podcast: Your support fuels our mission to share transformative messages of hope and faith. Click here to learn how you can contribute and be part of this growing community! This Episode is brought to you by Advanced Medicine Alternatives Get back to the active life you love through natural & regenerative musculoskeletal healing: https://www.georgekramermd.com/ Chapters 00:00 – Welcome & Elizabeth's Journey as a Bible Study Author07:38 – Why Elizabeth Created Gently Tended08:09 – When Life Leaves You With No Capacity for Bible Study11:07 – God Meets Us in Our Lowest-Capacity Seasons11:52 – What Does It Mean to Be “Gently Tended” by God?13:00 – Spiritual Disciplines Aren't About Getting Closer to God14:04 – How to Turn Overwhelm Into Prayer16:18 – The Spiritual Disciplines in Gently Tended18:16 – When Bible Study Becomes More Important Than Jesus21:17 – How Gratitude Can Transform Your Everyday Life23:00 – Trusting God When Life Doesn't Go According to Plan26:03 – What Is Biblical Christian Meditation?27:05 – The Thoughts You Repeat Are Shaping You29:43 – Replacing the Lies in Your Mind With God's Truth31:02 – How to Ask God for Wisdom and Recognize His Truth31:14 – A Bible Study Designed for Your Season of Life33:00 – Why You Don't Have to Finish the Whole Bible Study34:20 – Small Steps Toward Jesus Still Count35:56 – What's Next for Elizabeth and Gently Tended37:14 – A Prayer Over Elizabeth and Her Ministry

Today, we discuss China's £14.7bn investment into AI and robotics in the hopes of overtaking the US as the world leader in innovation.China has two million robots already working in factories, and is investing heavily in the hopes that one day they could bridge gaps in an already sluggish economy. What can these robots do? And what does the future look like for workers? Our China correspondent Laura Bicker has been to some of these factories, and is on the line to debrief.Plus, the government has announced more details about their housing plans, including where 70,000 social and affordable homes will be built in England over the next 10 years. 60% of the new homes would be for social rent, despite Andy Burnham telling The Social Housing Podcast in May he "would actually devote all of it to social housing.”.Is Andy Burnham delivery what he promised? Adam is joined by Alex and housing correspondent Tarah Welsh.You can now listen to Newscast on a smart speaker. If you want to listen, just say "Ask BBC Sounds to play Newscast”. It works on most smart speakers. You can join our Newscast online community here: https://bbc.in/newscastdiscordGet in touch with Newscast by emailing newscast@bbc.co.uk or send us a WhatsApp on +44 0330 123 9480.New episodes released every day. If you're in the UK, for more News and Current Affairs podcasts from the BBC, listen on BBC Sounds: https://bbc.in/4guXgXd Newscast brings you daily analysis of the latest political news stories from the BBC. The presenter was Adam Fleming. It was made by Jack Maclaren with Shiler Mahmoudi. The social producer was Jem Westgate. The technical producer was Hannah Montgomery. The assistant editor is Chris Gray. The senior news editor is Sam Bonham.

Join the Millionaire University AI Mastermind at ⁠⁠⁠⁠MillionaireUniversity.com/AI⁠⁠⁠⁠ #1050 What if you could replace $150-an-hour work with a $6-an-hour virtual assistant — and use AI to make them even more productive? In Part 1 of this two-part episode, host Brien Gearin welcomes Ryan Wimpey back to the Millionaire University Podcast to reveal how he's using virtual assistants, AI, and automation to scale Tip Top K9 to 29 locations across 13 states, with average unit revenue topping $600,000. Ryan breaks down how he pairs tech-savvy VAs with tools like ChatGPT, Claude, and Manus to automate dashboards, reporting, scheduling, and other time-consuming tasks — including replacing work that can cost $150+ an hour with VAs earning around $6 an hour. Plus, he shares how vibe coding a prototype saved roughly $20,000 in software development costs, his process for finding and training high-quality VAs, and why he believes your core team should spend their time on one thing above all else: work that actually moves the needle! What we discuss with Ryan: + Scaling to 29 franchise locations + $600K+ average unit revenue + Pairing VAs with AI + Automating repetitive business tasks + Replacing $150/hour work + Vibe coding custom software + Saving on development costs + Hiring tech-savvy VAs + Training VAs on AI tools + Focusing on revenue-producing work Thank you, Ryan! Check out Tip Top K9 at TipTopK9.com. Follow Ryan on Facebook and YouTube. Get your FREE 5 Minute Business Plan at ⁠⁠⁠⁠⁠⁠⁠⁠⁠MillionaireUniversity.com/Plan⁠⁠⁠⁠⁠⁠⁠⁠⁠ To get exclusive offers mentioned in this episode and to support the show, visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠MillionaireUniversity.com/Sponsors⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Learn more about your ad choices. Visit megaphone.fm/adchoices

Some of the best manufacturing advice comes down to one simple idea - buy back your weekends.In this bonus episode of Manufacturing Happy Hour, Chris is joined by Patrick Carmitchel, VP of Product Management and Dustin Moore, Condition Monitoring Engineer Manager at AssetWatch, to break down what condition monitoring and predictive maintenance looks like in practice, no jargon required.They get into the differences between preventative and predictive maintenance, why the biggest ROI often comes from just doing one thing well, and how AssetWatch's own founding story led them from wireless power research into one of the fastest-growing names in industrial monitoring. Along the way, Dustin shares a personal philosophy that gives this episode its name.In this episode, find out:Why doing one thing well with your most critical assets can catch the majority of issues before you need to expand into other monitoring methodsHow a maintenance technician went from feeling threatened by AssetWatch to calling it the best thing that ever happened to his jobWhat criteria actually determine whether an asset is "critical" - and why size has nothing to do with itHow AssetWatch went from researching wireless phone charging to building one of the fastest-growing platforms in industrial monitoringEnjoying the show? Please leave us a review here. Even one sentence helps. It's feedback from Manufacturing All-Stars like you that keeps us going!Tweetable Quotes:"The proof is in the pudding... once they start seeing the results on their end - that bearing running a lot cooler, a lot smoother - that's when they come around." - Dustin Moore, Condition Monitoring Engineer Manager at AssetWatch"You've got to start somewhere. Meet maintenance teams where they're at - they're all in different parts of their journey." - Dustin Moore, Condition Monitoring Engineer Manager at AssetWatch"Predictive maintenance means you're looking at early warning signs... it's about your ability to be able to plan so that you do not have unplanned downtime." - Patrick Carmitchel, VP of Product Management at AssetWatchLinks & mentions:AssetWatch combines vibration, temperature, and oil analysis in one platform for a holistic asset health view, detecting issues that a single technique might miss.Make sure to visit https://manufacturinghappyhour.com for detailed show notes and a full list of resources mentioned in this episode. Stay Innovative, Stay Thirsty.

A study of more than 450,000 adults found that every additional 30 grams of processed meat consumed daily was associated with a 9% higher risk of gastric cancer and a 13% higher risk of esophageal adenocarcinoma People who ate the most processed meat had a 46% higher risk of gastric cancer and more than double the risk of esophageal adenocarcinoma compared to those who ate the least Research on oral cancer found that smoked, fried, roasted, and other heavily heat-treated meats were linked to greater risk, with smoked meat emerging as the strongest independent risk factor High-temperature cooking creates compounds called polycyclic aromatic hydrocarbons (PAHs) and heterocyclic aromatic amines (HAAs) — compounds identified as mutagenic and carcinogenic that may damage DNA and contribute to the cancer process over time Replacing processed meats with minimally processed protein sources, choosing gentler cooking methods, and building meals around vegetables may help reduce long-term exposure to dietary compounds associated with cancer risk

When love just isn't as loving anymore… Kellie Rasberry may have to give you some tough love. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Why Rejection Hits So Hard and How to Stop Letting It Define You Have you ever been blindsided by a betrayal so complete that it did not just shatter your marriage — it shattered the story you believed about yourself? One moment you thought you knew who you were, who he was, and who God was to you. And then the truth came out, and suddenly nothing felt certain anymore. In this episode, Leslie sits down with Emmy Award-winning television producer, author, and Chief Creative Officer of Joyce Meyer Ministries, Ginger Stache, co-author of the new book Healing the Wounds of Rejection. Ginger shares with remarkable honesty how the discovery of her husband's long-hidden pornography addiction brought her to her knees — not only in her marriage, but in her identity and her faith. Together, Leslie and Ginger unpack the specific lies rejection plants in a woman's heart, why feeling the pain of rejection is not weakness but proof you were made for love, and how God meets women in the darkness with healing they never saw coming. Key Takeaways   Rejection Attacks Your Identity, Not Just Your Relationship When Ginger discovered her husband's pornography addiction, she was not only stunned by the betrayal — she was stunned by how quickly it rewrote her story about herself. The questions came fast: What did I do wrong? Why am I not enough? Am I even lovable? Leslie points out that this is exactly what rejection does in a destructive relationship — it does not stay in the marriage, it moves into the marrow of who you believe you are. The critical first step is recognizing that what he chose is not a verdict on your worth. It is not a statement about you. The Lies Rejection Tells Are Predictable — and They Can Be Named and Refused Ginger identifies the most common lies rejection whispers: I will never be accepted. There is something fundamentally wrong with me. I cannot become who God made me to be because I am too broken. The key distinction she draws is between being rejected — which happens to every human being, including Jesus himself — and living rejected, which means allowing those lies to become part of your identity. Naming the lie is the first act of resistance. Replacing it with the truth of God's word is how the healing begins, one lie at a time. Feeling the Pain of Rejection Is Not Weakness — It Is What It Means to Be Human One of the most powerful moments in this conversation is Ginger's confession that she was ashamed of how hard rejection knocked her down — because she thought her faith made her stronger than that. Research confirms that the brain processes social rejection through the same pain pathways as a broken bone. God created you for love and connection, which means the ache of rejection is not a character flaw. It is the cost of being someone who loves. Leslie adds her own story of unexpectedly sobbing in a parking lot after being turned away at a pickleball court — and recognizing it as an old childhood wound asking to be seen and healed. Self-compassion, not self-criticism, is what opens the door. The Story of Leah Tells Us What Healing Actually Looks Like Ginger and Leslie turn to the story of Leah in Genesis 29 as one of the most honest and hope-filled pictures of what it looks like to move from rejection to rest. Married to a man who openly preferred her sister, Leah spent years trying to earn love through her children. But by her fourth son, something shifted. She stopped saying, Surely he will love me now, and said instead, This time I will praise the Lord. Healing did not look like Jacob finally choosing her. It looked like Leah choosing God as her source — finding that his love was not conditional on what her husband did or did not give her. That same shift is available to you. You Have a Choice — and Reclaiming It Is Where Healing Starts One of the most empowering threads running through this conversation is the call to reclaim your ability to choose in the middle of circumstances you did not choose. You did not choose his addiction. You did not choose his betrayal. But you can choose whether to believe the lie or the truth. You can choose faith over feelings that feel more real right now. You can choose to risk loving again because, as Ginger says, not loving anyone is a far worse fate than being hurt while loving. Leslie draws on the story of Joseph — thrown into slavery and into prison by rejection at every turn — as a biblical witness to the truth that rejection does not have to define you. The path forward begins with that one small, courageous choice. Personal Invitation If this conversation is stirring something deep in you — if you recognize the lies Ginger described, if you have been carrying the weight of rejection in your body, your identity, and your faith for longer than you want to admit — you do not have to keep doing this alone. Leslie's Walking in Core Strength community is a group coaching experience designed to help you stay rooted in truth, respond with wisdom and compassion, and stop losing yourself to patterns that are costing you everything. This is your invitation to take a step toward the woman God made you to be. https://leslievernick.com/strong Closing Encouragement You were created by a God who does not reject. He pursues. He sees. He binds up wounds. And on the days when rejection has knocked you so far down that you can barely whisper the words — God, do you even love me? — he is already answering. You never have to beg for my love. It is always here for you. Whatever has been done to you, whatever lies have taken root, whatever chapter of your story feels irredeemable right now — God is not finished. He is working layer by layer, step by step, in ways you cannot yet see. And one day, you will look back and know that he had his hand on you the entire time. You are not alone. You are not unloved. And rejection does not get the last word. God does.  

“HEY! YOU CAN'T FISH HERE!”Okay… but can you?Episode 337 of Jigs & Bigs dives into one of those situations almost every angler will eventually encounter: you're fishing water you believe you have every legal right to be on, and a property or dock owner tells you otherwise.This week's Just the Tip is all about knowing before you go.Public water vs. private property. Private docks. Legal access. Navigable water. Fishing from a boat vs. wading vs. standing on the bank. Sportsman's rights and interference laws. And what happens when somebody hangs a NO FISHING sign somewhere that might not actually give them the authority to tell you not to fish?The complicated answer?It depends.We look at examples from around the country to demonstrate just how dramatically access and angler-protection laws can differ—and why something Bobby said on a podcast or some jabroni confidently posted on Facebook should never replace doing your own homework.And if a confrontation does happen?Knowing your rights doesn't mean you have to exercise them at maximum volume.We talk de-escalation, respecting property owners, knowing when to walk away, and even when it might make sense to call the game warden yourself.Just remember:Calling the warden isn't calling in reinforcements. You're calling in a referee—and the referee can throw a flag on YOU.Then on Broke on the Boat, we're talking CHEAP INSURANCE—the inexpensive purchases and simple maintenance that can keep a tiny problem from becoming an expensive one.Because spending twelve bucks to protect a $300 rod isn't expensive.Replacing the $300 rod because you wouldn't spend twelve bucks?Now you're Broke on the Boat.Plus Joe and Bobby get into the usual fishing stories, bullshit, listener interaction and everything else that makes J&B… J&B.

What happens when a story still believes in morality—but no longer believes in objective moral truth?In The Running Man (2025), Ben Richards is motivated by his love for his family, and that love is genuinely good. But the story gradually makes family the highest good, replacing objective moral order with relational loyalty. The question becomes not “What is right?” but “Who do you protect?”Zena Dell Lowe examines what this reveals about a larger shift in modern Hollywood storytelling: corruption becomes inevitable, justice becomes impossible, and heroes learn to navigate broken systems rather than overcome them.This isn't simply a critique of The Running Man. It's a look at the worldview underneath the story—and what happens when a good thing becomes an ultimate thing.Is there something worth choosing above that?Watch this episode on YouTubeFree Resources for Writers:Seven Deadly Plot Points FREE TRAINING VIDEO Free Video Tutorial for ScreenwritingSign up for The Storyteller's Digest, my exclusive bi-monthly newsletter for writers and storytellers. Each edition delivers an insightful article or practical writing tip straight from me, designed to help you master your craft and tell compelling stories.The Storyteller's Mission Podcast is now on YouTube.  Subscribe to our channel and never miss a new episode or announcement.

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.

Today our guest is Angela Walle, a teacher at Geiger Montessori in Tacoma Public Schools and recipient of the Tacoma Public Schools Whole Child Champion Award. Angela shares how replacing classroom rules with explicitly taught character traits transformed her classroom from one of the most difficult she had ever managed to one where students described it as their safest place in school. She also explains how spending 30 minutes a day on character trait instruction gave her more instructional time, not less, by shifting her role from behavior manager to guide, and how holding students accountable to shared values rather than rules builds the kind of community that students carry with them beyond the classroom. In this conversation, Angela offers important reminders for educators and leaders: Replacing rules with explicitly taught character traits shifts the dynamic from compliance to community. Students learn to hold themselves accountable rather than waiting to be corrected. When educators share their own struggles openly with students, it lowers anxiety, builds trust, and creates the psychological safety students need to take risks and learn. The time invested in teaching character traits is not time taken away from instruction. It is the foundation that makes instruction possible in the first place. Learn More About CharacterStrong:  Sign up for the CharacterStrong Weekly Access FREE MTSS Curriculum Samples Request a Quote Today! Visit the CharacterStrong Website   About Angela Walle:  Angela Walle is in her 19th year as an educator. She was awarded Tacoma Public School's Whole Child Champion award in the spring of 2026. Majority of her career has been spent working with students in grades k-3. In 2018 Angela stepped out of the classroom to work directly with teachers as a mentor and co-teacher. From Sept 2020 to June of 2023 Angela took on a special project for Tacoma Public Schools called TV Classroom. She worked closely with a team to produce videos that allowed families, students and teachers access to learning during the Covid Years. These videos included virtual field trips and instruction for SEL, Math, and Literacy. The 2026 school will be her 4th year at Geiger Montessori and she currently teaches a 1st-3rd grade multi-age class.

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

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Watch the show on television by downloading the SuperCrowd.tv Channel app to your Roku or Amazon Fire TV or e360tv channel app to your Roku, LG or Amazon Fire TV. You can also see it on YouTube.Devin: What is your superpower?Anne: I tend to question everything.Jiminy's is proving that cricket protein can help dogs live healthier lives while cutting the carbon pawprints of America's pets.Anne Carlson, founder and CEO of Jiminy's, has built a purpose-driven company around an idea that sounds surprising until you hear the science. Jiminy's makes dog food, treats and dental chews using insect protein. Anne explained the mission simply: “At Jiminy's, we help dogs live longer, healthier lives on a greener planet.”The environmental case is powerful. Anne shared that a UCLA study found that 25 to 30 percent of the environmental impact of meat consumption in the United States comes from dogs and cats. Replacing traditional animal protein in pet food with insect protein can reduce land use, water use and greenhouse gas emissions.For Anne, the mission began at home. “I had this conversation with my daughter, and she really hit me with a bombshell,” she told me. “She told me that she didn't want to have kids. And the reason was she was worried about what the world would be like by the time those kids grew up.”That moment changed her career path. She had worked in the pet industry and knew there was room for innovation. Then she saw a United Nations study suggesting insects could help address world hunger. She ordered dry-roasted crickets online and offered them to her dogs.“The dogs went crazy for it,” Anne said. “As soon as they started drooling, I knew we had something that we could work with.”Anne Carlson will be speaking at SuperCrowd26 featuring PurposeBuilt100™️! Register now to watch his session live.What impresses me most is that Jiminy's is not just a clever brand with a fun name. Anne and her team have invested in science. They worked through FDA and AAFCO processes to demonstrate digestibility, palatability and real health benefits. Anne said the protein has been shown to support the microbiome, skin and coat health and even oral health.That science has translated into products dogs love and pet parents can feel good about buying. Jiminy's has won industry recognition for its food, treats and dental chews while growing distribution online and in independent pet stores.Anne is showing that purpose and growth can run together. By asking better questions about what we feed our pets, she is helping build a healthier future for dogs and the planet they depend on.tl;dr:Jiminy's uses cricket protein to create sustainable pet food that reduces environmental impact.Anne's climate concern for her daughter inspired her purpose-driven entrepreneurial journey.Science-backed benefits for dogs include improved gut health, oral health, and overall wellness.Jiminy's has earned industry recognition for its eco-friendly pet food innovations and growth.Anne's superpower is questioning everything and tenaciously pursuing innovative solutions.How to Develop Question Everything As a SuperpowerAnne's superpower is Question Everything. She told me, “I tend to question everything,” adding that she is “curious” and likes “to understand how things work.” That habit is not passive. Anne continues to ask, “What else can we do? How else can we have impact?” For her, the question is only the beginning. She emphasized that it is “not just ask the question, but then follow up,” because when a path emerges, “you've got to be tenacious to get it done.”Anne illustrated her superpower with a discovery that began on her floor at home. Her older dog Tuco was breathing in her face, and she wondered, “How the heck does Tuco have good breath?” She opened his mouth and saw white teeth. Because she was not giving him dental chews, she asked her scientists whether insect protein could be affecting his mouth. They hypothesized that medium-chain fatty acids might be responsible. Anne kept pushing. The company conducted a study, proved the oral microbiome benefit and relaunched dental chews that later won a major innovation award.Be fully present when talking with people so you notice ideas worth exploring.Do not let questions pass through your mind without asking them out loud.Probe for the underlying reason when something surprises you or does not make sense.Use science, data and expert partners to test your hypotheses.Follow up on promising questions with tenacity until you discover whether they lead somewhere useful.Keep asking how your work can create more impact for customers, animals and the planet.By following Anne's example and advice, you can make questioning everything a skill. With practice and effort, you could make it a superpower that enables you to do more good in the world.Remember, however, that research into success suggests that building on your own superpowers is more important than creating new ones or overcoming weaknesses. You do you!Guest ProfileAnne Carlson (she/her):Founder & CEO, Jiminy's, Inc.About Jiminy's, Inc.: Jiminy's is disrupting the pet industry; fighting climate change as we feed our pets. We make sustainable dog food and treats using a novel protein source - insect protein! Jiminy's products nourish our pets and promote long-term stewardship of the earth.Website: jiminys.comCompany Facebook Page: facebook.com/jiminysforpetsBiographical Information: Meet Anne Carlson – the dog-loving entrepreneur who's revolutionizing pet food by thinking outside the (kibble) box! As the founder of Jiminy's, she's on a mission to make dog food and treats that are both tail-waggingly delicious and planet-friendly, using – wait for it – cricket protein! Her innovative approach is turning heads in the pet industry, with Jiminy's racking up impressive recognition in 2024: snagging the Pet Innovation Award for Best Dry Dog Food with Good Grub, winning Pet Age Magazine's Editor's Select Award for their mouthwatering Sweet Potato & Peas Training Treats, and scoring Pet Product News Magazine's Editor's Choice Award for their game-changing Dental Chews! When she's not leading her award-winning company, you might find Anne geeking out over insect agriculture (yes, she literally wrote the scientific playbook for cricket protein in dog food!). Her groundbreaking work earned her the 2019 Entrepreneur of the Year award, but her real critics are her four-legged taste-testers: Tuco and Timber, her beloved pups. Before becoming the “Cricket Queen” of pet food, Anne was a corporate powerhouse at Big Heart Pet Brands and founded Secant (which she later sold to IRI). She's got the brains to back her vision – with degrees from Wash U and NYU – but these days, she's focused on changing the world one sustainable kibble at a time. When she's not disrupting the pet food industry, Anne's hanging with her family in Berkeley, CA, where her husband Eric and daughter Boothe have learned to embrace her passion for sustainable pet parenthood!Personal Facebook Profile: facebook.com/anne.t.carlsonLinkedIn: linkedin.com/in/annetcarlson/Instagram: @jiminysforpetsSupport Our SponsorsOur generous sponsors make our work possible, serving impact investors, social entrepreneurs, community builders and diverse founders. Today's advertisers include PurposeBuilt100™ Winners and supercrowd.tv. Learn more about advertising with us here.Max-Impact Members(We're grateful for every one of these community champions who make this work possible.)Brian Christie, Brainsy | Cameron Neil, Lend For Good | Carol Fineagan, Independent Consultant | Eric Coury, Arthia AI | John Berlet, CORE Tax Deeds, LLC. | Justin Starbird, The Aebli Group | Ken Steele, Rotarian | Lory Moore, Lory Moore Law | Marcia Brinton, High Desert Gear | Mark Grimes, Networked Enterprise Development | Mike Babbit | Coledger Solutions | Mike Green, Envirosult | Nick Degnan, Unlimit Ventures | Paul Lovejoy, Stakeholder Enterprise | Pearl Wright, Global Changemaker | Scott Thorpe, Philanthropist | Sharon Samjitsingh, Health Care Originals | Add Your Name HereUpcoming SuperCrowd Event CalendarIf a location is not noted, the events below are virtual.Join the SuperCrowd Impact League! You can be recognized for making impact investments via Reg CF. See how your activity compares to your peers. It's free. Win valuable prizes. Start now!SuperCrowd Impact Member Networking Session: Impact (and, of course, Max-Impact) Members of the SuperCrowd are invited to a private networking session on September 8th at 8:00 PM ET/5:00 PM PT. Mark your calendar. We'll send private emails to Impact Members with registration details. Upgrade to Impact Membership today!SuperCrowd26 featuring PurposeBuilt100™: This August 25–27, founders, investors, and ecosystem leaders will gather for a three-day, broadcast-quality global experience focused on disciplined capital formation, regulated investment crowdfunding, and purpose-driven growth. We're bringing together leading voices in impact investing, compliance, digital marketing, and circular economy innovation to deliver practical frameworks, real-world case studies, and actionable strategies. The event culminates in the PurposeBuilt100™ Showcase, recognizing 100 of the fastest-growing purpose-driven companies in the U.S. Register now to secure your seat and get all the details. August 25–27, streaming worldwide.Visit Our Complete Community Event CalendarIf you would like to submit an event for us to share with the 10,000+ changemakers, investors and entrepreneurs who are members of the SuperCrowd, click here.Manage the volume of emails you receive from us by clicking here.We share educational information—not investment advice. Some links may generate compensation. See our full disclosure.We use AI to help us write compelling recaps of each episode. Get full access to Superpowers for Good at www.superpowers4good.com/subscribe

Jay was thinking of using Claude for AI but now his Chat GPT is mad at him.See omnystudio.com/listener for privacy information.

Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Alicia Lyttle.

Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Alicia Lyttle.

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Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Alicia Lyttle.

Support the podcast! Http://tappingqanda.com/support Subscribe in: Apple Podcast | iPhone | Spotify | Pandora | Amazon Music | iHeartRadio  | YouTube Limiting beliefs are one of the most common obstacles I hear about from people in the tapping community, and they are also one of the things tapping is best equipped to address. In nearly two decades of working with clients and students, tapping for limiting beliefs has become one of my favorite applications of EFT, because the results are direct, fast, and felt immediately in daily life. TL;DR / Key Takeaways A limiting belief is a subconscious affirmation about how the world works that exists to keep you safe, not to hold you back. It only becomes a problem when it is disproportionate to actual risk or based on inaccurate information. Intellectual understanding alone cannot clear a limiting belief. Transformation requires working at the subconscious level, which is exactly where EFT tapping operates through a process called memory reconsolidation. The five-step tapping process for limiting beliefs takes under three minutes and can be used immediately on any belief that is getting in your way. Fighting or dismissing a limiting belief makes it dig in harder. The key is to first acknowledge the belief's protective intention, then show it how it is working against you. Replacing a limiting belief requires a statement the subconscious can actually accept. Overclaiming ("everything will be perfect") creates resistance. A grounded permission statement creates movement. Why Limiting Beliefs Are So Hard to Shake Limiting beliefs are hard to shake because they are not flaws in your thinking. They are features of your protective system doing exactly what they were designed to do. Your subconscious mind holds on to these beliefs precisely because it believes they are keeping you safe. Think about it this way: I do not jump into the tiger cage at the zoo. That is a limiting belief. But I do not experience it as one because it is proportionate to real danger. The limiting beliefs that cause us problems work the same way on the inside. They generate resistance to protect us from what they perceive as threat, whether that threat is rejection, failure, judgment, or loss. This is why willpower and positive thinking rarely work on their own. If you try to override a protective belief by force, the subconscious mind digs its heels in. The resistance is not an enemy. It is a misguided guardian. What Is a Limiting Belief, Really? A limiting belief is a subconscious affirmation about how the world works that is either inaccurate, disproportionate, or based on outdated information. It exists to create protective resistance, not to punish you. This definition matters because it completely changes how you approach the work. Most people treat their limiting beliefs as character defects or signs that something is fundamentally broken in them. But a limiting belief is just a story your subconscious mind wrote, probably a long time ago, with the information it had available at the time. The story made sense once. It just has not been updated. Key insight: "Limiting beliefs are always going to get the best of us. They keep us safe. What we're really frustrated by is the fact that the limiting belief has gotten in the way of us doing the thing we want because it's not doing it in a way that's proportionate or that is well informed." Every limiting belief you carry is trying to protect you from something. The question is never whether the protection is well-intentioned. It always is. The question is whether it is accurate and proportionate to the actual situation in front of you right now. Why Tapping for Limiting Beliefs Works When Willpower Doesn't Tapping works on limiting beliefs because it targets the subconscious level where those beliefs actually live, through a neurological process called memory reconsolidation. Willpower operates at the conscious level and cannot reach them. Memory reconsolidation is the process by which stored memories and the emotional responses attached to them are retrieved, modified, and re-saved. When you tap while focusing on a limiting belief, you are not just thinking differently about a problem. You are creating the conditions for the subconscious story to be rewritten and stored again in a new form. This is what makes tapping categorically different from affirmations, journaling, or talk therapy alone, all of which are enormously valuable but operate primarily at the conscious level. Key insight: "It is not enough to simply intellectually understand that the limiting belief you are carrying is not true. If all it required for you to transform a limiting belief was to know that it was not true, then the only thing we would need for healing and transformation are bumper stickers and posters of kitty cats hanging in there." This is why knowing better is not enough. You can know, with full certainty, that your fear of rejection is irrational, and still feel the brakes go on every time you try to put yourself out there. Tapping is one of the few tools that reaches both the conscious and subconscious levels simultaneously. If you want to understand more about why the subconscious mind resists change even when you consciously want it, this episode on the subconscious tug of war goes deep on that dynamic. The 5-Step Tapping Process for Limiting Beliefs The five-step tapping process for limiting beliefs takes under three minutes and can be applied immediately to any belief that is currently getting in your way. You do not need to have all the steps memorized. A reasonable guess at each one is enough to get results. To illustrate each step, I will use a concrete example: the belief that says "I can't ask this person to partner with me because they're going to reject me and I'll feel foolish." Step 1: Wordless Tapping Start with one full minute of tapping with no words at all. Move from point to point at your own pace, taking a deep breath as you begin. If you do not want to set a timer, three or four rounds of six to seven taps per point will cover it. Wordless tapping does two things: it settles your nervous system and brings you into your body before you begin the heavier cognitive work. Starting a limiting belief session already activated makes every subsequent step harder. This first step is short, but skipping it costs you. For a deeper look at how content-free tapping works and when to use it, see this episode on eight ways to use content-free tapping. Step 2: Name the Belief and Its Impact Tap through the points while saying out loud what the belief is and what it is causing you to do (or not do). Something like: "I recognize that I am carrying this belief, and the belief is [your belief here], and this limiting belief is preventing me from taking action, making me hesitant, and stopping me from doing what I want." Naming the belief out loud does something important: it moves it from a vague background feeling into a specific, examinable object. You cannot address what you cannot clearly see. Step 3: Honor the Belief's Protective Intent Still tapping, shift to acknowledging what the belief is trying to do for you: "I recognize that this limiting belief exists because it is simply trying to keep me safe. It does not want me to rush in, be judged, be rejected, or do something foolish. And I appreciate the fact that it is holding me back in an effort to keep me safe." This step is not about agreeing that the belief is correct. It is about getting your subconscious mind on board with the process. Key insight: "It's kind of like a handshake with the subconscious mind saying we're on the same team. If I say, subconscious mind, you're wrong, it's going to dig its heels in." Skipping this step is one of the most common reasons tapping on limiting beliefs stalls. The subconscious mind will not release a belief it thinks you are attacking. This episode on turning intellectual pushback into tapping progress explores this pattern in more detail. Step 4: Show the Belief How It's Backfiring Now, still tapping, let the belief know that its protective strategy is producing the opposite of what it intends: "Even though you are trying to keep me safe, you are actually doing the exact opposite. You are making the world more dangerous because you are preventing me from doing the things that will help me grow, evolve, and move forward." This step works because it speaks the subconscious mind's language. You are not telling it it is wrong. You are showing it that its own goal, your safety and wellbeing, is better served by loosening its grip. Step 5: Replace It with a Credible Truth Finally, tap while offering a realistic replacement: "I appreciate the fact that it is possible for me, in thoughtful and deliberate ways, to move forward safely. This does not mean I am going to be thoughtless or reckless. I am engaging with this in thoughtful and deliberate ways, and I give myself permission to trust that I can move forward safely." Notice what this step does not say. It does not say "everything will work out perfectly" or "there is nothing to worry about." Those statements are not believable to the subconscious mind, and an unbelievable affirmation creates resistance rather than releasing it. The goal is a truth the subconscious can accept, a permission statement that says: I can move, and moving does not mean abandoning care. Why You Can't Just Think Your Way Out of a Limiting Belief Thinking alone cannot clear a limiting belief because the belief does not live in your thinking mind. It lives in the subconscious, and the subconscious does not respond to logic. Reading the right book, understanding why a belief is irrational, or receiving encouragement can all be genuinely useful. But none of them reach the level where the belief is actually stored. They inform the conscious mind without rewriting the subconscious story. Tapping works at both levels simultaneously. You hold the belief in conscious focus while the physical act of tapping sends a calming signal to the amygdala, the brain's threat-detection center. That combination allows the memory to be accessed, modified, and re-stored. The belief does not just get quieter. It gets rewritten. If intellectual understanding has been your primary tool and you keep hitting the same walls, this episode on why you resist taking healthy action is a useful companion read. How to Use This Process for Any Limiting Belief Tapping for limiting beliefs is effective on any belief that is disproportionate to actual risk or based on outdated information. The example used throughout this post was the fear of rejection in a partnership conversation, but the same five steps apply to beliefs about money, visibility, worthiness, health, creative work, or any other domain where you feel stuck. Key insight: "The only way I can create a life that I love is if I actually take action. Nothing happens until we move. Limiting beliefs prevent us from taking action and moving. Therefore, when a limiting belief is disproportionate or misinformed, it prevents us from creating the life that is meant for us." You do not need to have the belief perfectly identified before you start. Begin with what you know. If you feel the resistance but cannot fully name what is driving it, start with wordless tapping and let the clarity come as you move through the steps. If you want to track your tapping practice and build consistency with this kind of work, Tapping Tracker is a simple tool designed to help you do exactly that. For more on how tapping and affirmations work together once a belief has been cleared, see this episode on tapping and affirmations as a transformation duo. Frequently Asked Questions What is a limiting belief in EFT tapping? In EFT, a limiting belief is a subconscious story about how the world works that creates resistance to action. It is not a character flaw. It is a protective mechanism that becomes problematic when it is disproportionate to actual risk or based on outdated information. Tapping works on limiting beliefs by accessing the subconscious level where they are stored. Can tapping really clear a limiting belief in a few minutes? Yes, particularly for beliefs that are clearly defined and moderately activated. The five-step process described here takes under three minutes and is designed to produce immediate relief from the resistance the belief generates. Deeper or more complex beliefs, especially those rooted in significant past experiences, may benefit from multiple sessions or work with a practitioner. Why do limiting beliefs come back after tapping? A limiting belief can resurface if it has multiple layers, if the root experience has not been fully addressed, or if the replacement truth offered in step five was not fully believable to the subconscious mind. When a belief returns, that is useful information. It points to a deeper layer or a related belief that is also worth tapping on. What is memory reconsolidation and how does it relate to tapping? Memory reconsolidation is the neurological process by which stored memories are retrieved, modified, and re-saved with new emotional content. EFT tapping leverages this process by pairing focused attention on a belief with the calming input of tapping on acupressure points, creating conditions for the subconscious story to be rewritten rather than suppressed. Do I have to know exactly what my limiting belief is before I start tapping? No. You can begin with wordless tapping and a general sense of where the resistance is. Clarity often emerges during the tapping process itself, particularly after step one settles the nervous system. Start with what you know, even if it is just "I feel stuck about this." How is tapping for limiting beliefs different from affirmations? Affirmations work at the conscious level and are most effective after a limiting belief has already been cleared or softened. Tapping works at the subconscious level, where the belief is actually stored, through the physical act of stimulating acupressure points while holding the belief in focus. Used together, after tapping clears the resistance, affirmations can reinforce the new story. This episode on tapping and affirmations explains how to sequence them effectively. What is the fear of rejection example in this episode about? The fear of rejection example illustrates a belief that says "If I ask this person to partner with me, they will reject me and I will feel foolish." Gene uses this example to walk through each of the five tapping steps in real time, demonstrating how the process addresses both the specific fear and the underlying protective mechanism driving it. For a deeper dive into tapping for rejection specifically, see this post on breaking free from the fear of rejection.

AI agents now autonomously execute full SEO workflows, not just tasks. Thenuka Karunaratne, CEO and co-founder of Sunbeam and Daydream, raised $20M+ building an AI-native SEO agency serving Notion, Replit, and Clay before launching Sunbeam, an autonomous SEO agent that has moved beyond workflow automation. Karunaratne breaks down why proactive "teammate" agents outperform reactive workflow-based tools, how leading indicators shift from indexation to ranking velocity to conversion as agent-driven programs mature, and why domain authority remains resistant to automation while on-site technical and content execution increasingly isn't. The conversation maps how SEO practitioners must shift from tactical execution toward product-fluent strategic oversight as autonomous agents absorb research, technical fixes, and content production at scale.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Clarity Over Comfort What changes when a man stops using alcohol to escape—and begins confronting his life with clarity? On this episode of The CJ Moneyway Show, CJ sits down with Shane Ramer, host of That Sober Guy Podcast, for a transparent conversation about sobriety, masculinity, faith, family, accountability, leadership, and the courage required to ask for help. Shane shares how alcohol became a coping mechanism for stress, relationships, responsibility, and the pressures of life. After trying to quit on his own, he reached a moment of surrender: he recognized that asking for help did not make him weak or a failure. It allowed him to begin rebuilding. Nearly thirteen years later, Shane describes a life centered on his faith, wife, children, service to other men, and the daily practices that protect his sobriety and clarity. This conversation moves beyond the idea that sobriety is only about what someone stops doing. It explores what becomes possible afterward. In this episode CJ and Shane discuss: Recognizing when alcohol is subtracting from your life Using alcohol as an escape from unresolved problems Why surrendering to God is different from giving up The difference between religion and a relationship with God Why men need trustworthy relationships Shane's experience with Twelve Step recovery Recovery stigma and the men who will never enter a traditional meeting Why connection is essential to overcoming addiction What clarity makes possible in leadership and business How better sleep, nutrition, exercise, support, and community affect performance Replacing immediate gratification with long-term discipline Learning to have authentic fun without alcohol Why environments sometimes must change before behavior can change The consequences a man's decisions can create for his family Why asking for help is not a sign of weakness The danger of victim mentality What intentional leadership looks like The biggest lie men believe about alcohol The bigger Moneyway lesson Alcohol may temporarily change how someone feels, but it does not resolve what remains underneath. The unresolved relationship is still there. The financial pressure is still there. The fear is still there. The responsibility is still there. And when the temporary escape ends, those problems often return with additional consequences. Shane's journey demonstrates that clarity does not instantly repair every part of life. It gives a man the ability to see what requires repair—and the capacity to begin doing the work. That work requires faith. It requires support. It requires repetition. It requires accountability. And it requires the willingness to make the next right decision, even when nobody is applauding. That is clarity over comfort. That is Built For Purpose. About Shane Ramer Shane Ramer is the host of That Sober Guy Podcast and the founder of the Victory Circle, a free online community supporting men who want to live without alcohol. Drawing from his own experience with addiction, Twelve Step recovery, faith, mentorship, marriage, fatherhood, and nearly thirteen years of sobriety, Shane helps men pursue greater clarity, responsibility, connection, and personal leadership. He is also the author of That Sober Guy: How Do I? Real Answers for Men Who Want to Quit Drinking, Lead Strong and Win at Life. Connect with Shane Ramer Website: https://www.thatsoberguy.com Podcast and Victory Circle information are available through Shane's website. Connect with CJ Moneyway Website: https://cjmoneyway.com YouTube: https://www.youtube.com/@themoneywayshow8493 Apple Podcasts: https://podcasts.apple.com/us/podcast/the-c-j-moneyway-show/id1707761906 Listen on all platforms: https://pod.link/1707761906 Book CJ Moneyway: https://calendly.com/cj-cjmoneywayshow/60min Rate and review the show: https://ratethispodcast.com/cjmoneyway The Moneyway Move Identify one habit you use to escape something you know needs your attention. Then ask: What am I avoiding? Who is affected by my decision? What support have I refused to request? What is the next right action I can take? Clarity begins when avoidance ends. Listen. Watch. Subscribe. Share. Then put one principle into action. Brick by Brick. That's The CJ Moneyway. Listener-support note This episode shares personal experiences and is not medical treatment. Abruptly stopping alcohol can be medically dangerous for some people. Anyone concerned about alcohol dependence or withdrawal should consult a qualified healthcare professional. Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

What's up, everybody? It's Tom Bilyeu here:If you want my help...STARTING a business: join me here at ZERO TO FOUNDER: https://tombilyeu.com/zero-to-founder?utm_campaign=Podcast%20Offer&utm_source=podca[%E2%80%A6]d%20end%20of%20show&utm_content=podcast%20ad%20end%20of%20showSCALING a business: see if you qualify here.: https://tombilyeu.com/callGet my battle-tested strategies and insights delivered weekly to your inbox: sign up here.:https://tombilyeu.com/**********************************************************************If you're serious about leveling up your life, I urge you to check out my new podcast, Tom Bilyeu's Mindset Playbook —a goldmine of my most impactful episodes on mindset, business, and health. Trust me, your future self will thank you.**********************************************************************FOLLOW TOM:Instagram: https://www.instagram.com/tombilyeu/Tik Tok: https://www.tiktok.com/@tombilyeu?lang=enTwitter: https://twitter.com/tombilyeuYouTube: https://www.youtube.com/@TomBilyeuQuince: Free shipping and 365-day returns at https://quince.com/impactpodWhatnot: Download the Whatnot app today and get free shipping on your first order.Quo: Try for free PLUS get 20% off your first 6 months at https://quo.com/impactIncogni: Take your personal data back with Incogni! Use code IMPACT at the link below and get 60% off an annual plan: https://incogni.com/impact Pique: 20% off at https://piquelife.com/impactShopify: Sign up for your one-dollar-per-month trial period at https://shopify.com/impactSurfshark: Go to https://surfshark.com/TOMB or use code TOMB at checkout to get 4 extra months of Surfshark! ATT Business: Switch to AT&T Business at business.att.comKetone IQ: Visit https://ketone.com/IMPACT for 30% OFF your subscription orderNetsuite: For the first time ever you can try NetSuite Next for free. If your revenues are at least in the seven figures, go to https://NetSuite.ai/Theory.The team reacts to DSA-affiliated activist Tracy Rosenthal, who—per the reporting the host cites—has withheld an estimated $108,000 in rent and openly encourages tenants in their building to do the same, with their landlord reportedly an immigrant now losing the building. The host is careful to say he hasn't independently verified every detail, but uses it to make his central argument: that "just don't pay rent" activism, however it's framed as helping the poor, actually lands hardest on the people it claims to protect. He argues Rosenthal—whose father he says is a multiple-Grammy-winning musician and who grew up wealthy—has a safety net ("they can always go back to mom and dad") that the working families they're advising do not, so when a landlord can no longer maintain or run the building, tenants end up in unmaintained housing, and those who join rent strikes risk landing on tenant-screening "do not rent" lists that follow them, push them toward fewer economic opportunities, and make housing harder to secure. He frames the whole thing as reasoning from resentment—aimed at hurting a perceived "capital class"—rather than from what actually helps poor people, and warns that if you make it impossible to run housing as a business, the only remaining owner is the government, which can only subsidize until the "engine of prosperity" breaks. He argues this path repeatedly ends in stagnation, using Cuba as his example.The team reacts to Mayor Mamdani's new video targeting Amazon's delivery model—where drivers wear Amazon branding and follow Amazon-set routes and hours but are technically employed by subcontractors—and his support for the Delivery Protection Act, which would push responsibility for those workers back onto Amazon. Drew presses the steelman throughout: if the setup is illegal or strips workers of deserved protections (the way the Uber/Lyft contractor debate played out), shouldn't the government step in? The host agrees that if a company is breaking the law you enforce the law—but argues this specific move is a case of a candidate promising affordability while doing something that will make deliveries more expensive, calling the two goals "matter and antimatter." His core argument is about preserving choice: independent-contractor status is a real tradeoff that many workers actively want (flexibility, control), and banning it doesn't magically convert those into higher-paying jobs—companies instead do less, automate, or leave, and a subclass of lower-skilled workers loses the on-ramp entirely. He draws the Uber-beat-the-taxis parallel, argues minimum-wage hikes disproportionately wipe out teen and entry-level jobs, and points to Austin and Houston loosening building regulations to bring housing costs down as evidence that over-regulation is often the choke point. He frames the government's proper role with a sports metaphor—referees who set and enforce fair rules are essential, but when the refs outnumber the players and start tripping the best performer to even the score, the whole game gets worse. Threaded through is his contested thesis that this is driven by resentment and an "overproduction of elites," and a nuanced exchange with Drew about when market intervention is genuinely warranted versus when it becomes a barnacle.The team digs into three new Google research papers that, in the host's read, show large language models already outperforming human doctors—even in the messy, sometimes adversarial reality of real patient interactions. The host, careful to stay honest about both AI's risks and its capabilities, walks through the numbers: in a randomized clinical exam of 100 scenarios across 300 live video consultations with patient actors, graded by 20 board-certified physicians, the AI scored 83% to the doctors' 68%, with correct first-guess diagnoses at 91% vs 77%, clinical reasoning 90% vs 76%, guiding a physical exam over video 72 vs 39, and—strikingly—empathy rated higher for the AI (82 vs 71), echoing earlier findings in AI therapy studies. The AI also finished exams slightly faster. A second paper tracking patients across three visits with shifting symptoms found the AI's care rated appropriate 95% rising to 98% by the third visit, while human doctors actually got worse over follow-ups (72% to 81%)—which the host speculates is because doctors "back off too soon" once they think they've found the answer, whereas the AI keeps refining. A third paper used reinforcement learning across 57,000 simulated encounters—including thousands where patients actively try to deceive the doctor, hiding medications or insisting chest pain is just heartburn—with up to 60 conversational turns, producing a model that beats the already-superior AI 87.6% of the time head-to-head. The host argues the gap will likely keep growing, predicts that within a few years failing to at least consult AI could be treated as malpractice, and forecasts a near-term future of human-assisted-by-AI care rather than fully autonomous machines—because AI is probabilistic, not deterministic, so a human stays in the loop the way pilots remain in an autopilot cockpit. His bottom line: this is one of those cases where the technology may genuinely become what we hoped for, even if the economic transition to get there is turbulent.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Wolfie and the panel discuss all things Nottingham Forest and Transfers!

Send us Fan MailGet vidIQ Boost for an exclusive price! https://vidiq.com/podcastWant a 1 on 1 coach? https://vidiq.ink/theboost1on1Join our Discord! https://www.vidiq.com/discordWatch the video: https://youtu.be/_kUOrWhNynwWe sit down with magician and creator Oscar Owen to unpack what actually drives YouTube growth, from communication and confidence on camera to audience-first strategy. We also get practical about monetization, calls to action, and the weekly commitment that helps new channels push through the hardest early phase. • Oscar's origin story and how a magic tutorial channel reaches 1.6M subscribers • Teaching magic ethically by focusing on public domain fundamentals • Why YouTube rewards communication skills more than raw expertise • Getting comfortable on camera and letting go of fear of judgement • Replacing “algorithm” with “audience” to diagnose performance • Defining a viewer avatar and writing a clear channel vision • Using goals, pain points, and FAQs to choose video topics • Treating a channel like a business and choosing a niche with the four Ps • Understanding why quality views matter more than total views • Converting viewers into leads with clear calls to action • Putting the main link in the top line of the description and pinning it • The mindset shift of one video per week for 52 weeks • Focusing on packaging with ideas, titles, thumbnails, outliers, and CTR benchmarks • A quick detour into David Blaine, Derren Brown, and the Oz Pearlman debate If you're new here, feel free to hit that subscribe button. 

The Dean's List with Host Dean Bowen – The DSA party platform calls to abolish law enforcement and the military in direct opposition to the purpose of the Constitution. The DSA's lofty goals include: Abolishing the police and prison system, Replacing the Supreme Court, Abolishing the Senate, Instituting public ownership of corporations and essential industries...

"The first negotiation is actually a negotiation I have with myself about my own story."Before you can have hard conversations with others, you need to have an honest conversation with yourself. That's the counterintuitive advice from Sheila Heen, a Harvard Law School lecturer and co-author of Difficult Conversations: How to Discuss What Matters Most, who says our own internal narratives often derail our attempts at negotiation and conflict resolution. In this episode of Think Fast, Talk Smart , Heen joins Matt Abrahams to explore effective communication in high-stakes situations. From giving and receiving feedback with her “ACE” framework (Appreciation, Coaching, and Evaluation) to recognizing the "degrees of difficulty" in disagreements, she offers practical strategies for having productive conversations even when emotions run high.Key Takeaways:Difficult conversations start with understanding yourself. Before trying to change someone else's mind, examine your own assumptions, emotions, and goals to create space for a more productive dialogue.Curiosity turns conflict into collaboration. Replacing blame with genuine questions and focusing on understanding rather than convincing helps build trust, reduce defensiveness, and move conversations forward.Activity:Decode feedback. The next time someone asks for feedback, don't answer immediately. Implement the ACE framework. First ask: "Are you looking for appreciation, coaching, or evaluation?" Then tailor your response to match what they actually needEpisode Reference Links:Sheila HeenSheila's Book: Difficult ConversationsEp. 204 Tough Talks: Turn Tension Into Trust Connect:Premium Signup >>>> Think Fast Talk Smart PremiumEmail Questions & Feedback >>> hello@fastersmarter.ioEpisode Transcripts >>> Think Fast Talk Smart WebsiteNewsletter Signup + English Language Learning >>> FasterSmarter.ioThink Fast Talk Smart >>> LinkedIn, Instagram, YouTubeMatt Abrahams >>> LinkedIn Chapters:(00:00) - Introduction (01:40) - Facing Difficult Conversations (03:53) - The Feelings Beneath Conflict (07:02) - The Stories We Tell Ourselves (08:19) - Start with the Third Story (09:59) - The Power of Questions (12:36) - Breaking an Impasse (16:15) - The Language of Curiosity (17:12) - Feedback That Lands (20:18) - Asking for Better Feedback (22:38) - Looking Beneath the Surface (24:15) - The Final Three Questions (31:30) - Conclusion ********Thank you to our sponsors.  These partnerships support the ongoing production of the podcast, allowing us to bring it to you at no cost.Unleash your Superhuman potential with AI that meets you where you work. Learn more at superhuman.comJoin our Think Fast Talk Smart Learning Community and become the communicator you want to be. 

Betsy Helmuth introduces an online class bundle and details its pricing, purchasing options, and premium membership benefits. She answers Lindsey's question about designing her studio apartment, emphasizing the importance of an inspiration piece and flexibility in the 60/30/10 color palette. Timestamps: 0:00 Introduction to online class bundle 1:07 Pricing and purchasing details for classes 1:40 Premium membership benefits 2:17 How to become a premium member 3:56 Lindsey's question about her studio apartment 9:26 Importance of an inspiration piece 13:23 Flexibility in the 60/30/10 color palette 19:03 Investing in key pieces for the studio 25:08 Sponsor: Affordable Interior Design and closing remarks - Incorporating a larger area rug can help define separate spaces in a studio apartment and create a more cohesive look. - Selecting a temporary and affordable backsplash, like contact paper, can add personality and color to a rental kitchen without a long-term commitment. - Replacing mismatched or outdated furniture pieces, such as an old dining table, with affordable mid-century modern options can unify the style of a room. Don't forget to subscribe for more design tips and inspiration! Links: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Uploft.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠AffordableInteriorDesign.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Submit your design questions⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to be featured on the show ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Become a Premium Member⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ and access the bonus episodes Click ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠here⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ to become an interior designer with Uploft's Interior Design Academy. Get Betsy's book: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠betsyhelmuth.com/book⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠For more about our residential interior design services, visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ModernInteriorDesign.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ For our commercial interior design services, visit ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠OfficeInteriorDesign.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Follow Us: Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠@uploftinteriordesign⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Facebook: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠facebook.com/UploftIntDes⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ TikTok: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠tiktok.com/@uploftinteriordesign⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ LinkedIn: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠linkedin.com/company/uploft-interior-design⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ If you enjoy the show, please spread the word and leave a review on iTunes! Learn more about your ad choices. Visit podcastchoices.com/adchoices

This week on Geek Warning, Dave is joined by Escape's Suvi Loponen and Alex Hunt to talk about the latest in cycling tech. Alex was on the ground at the Tour de France Femmes and came away pondering why 1x hadn't hit the women's field like it has the men. Meanwhile, Suvi has spent the past couple of months riding the new Trek Domane endurance road bike. Dave and Suvi discuss why this bike is likely to be a big win for Trek. Then, as usual, those on our member-only podcast feeds get access to Ask a Wrench. This week Dave is joined by Colin Williams to answer questions related to replicating fit dimensions between bikes, headset changes, and why high-engagement hubs aren't more popular in road racing.Time stamps: 00:01:20 - Accell group likely to be split up  00:08:15 - Tech trends at TDFF 00:17:09 - Tyres are growing, slowly  00:22:00 - Trek's new Domane  00:33:45 - Bike prices coming down?  00:39:30 - The case for semi-integrated cable routing 00:43:00 - We're all having a meet-up  00:48:15 - Ask a Wrench with Colin Williams (Members Only)  00:50:00 - How to match fit dimensions between bikes  01:01:30 - Is it ok to mismatch the headset?  01:06:15 - Replacing a proprietary headset 01:14:00 - High engagement hubs Crit racing? 

What happens when artists stop waiting for Hollywood to pick them? I sit down with creator-economy entrepreneur Zack Honarvar to talk about how the entertainment industry is changing, why creators have more power than ever, and what artists need to understand about building an audience in the new Hollywood. In this episode, Zack Honarvar and I talk about: the creator economy and the decline of traditional Hollywood gatekeepers the difference between creators and celebrities—and why prestige still matters why actors, musicians, and artists need to learn how to command attention using social media to create your own opportunities instead of waiting to be discovered why the artists who learn to love promotion will have an unfair advantage Zack also shares his perspective on YouTube creators moving into traditional entertainment, Netflix licensing creator content, building businesses around your creative work, and why publicly claiming your biggest career goals can actually help you achieve them. If you're ready to become the next big thing and want to work with me directly to become a Self-Made Celebrity, head to the link in the show notes to learn how to coach with me. Find me, Whitney Uland, on Instagram and TikTok @whitneyuland Find Zack Honarvar on social media @zackhonarvar Learn more about Zack's upcoming Unlisted premiere and screening series at unlistedpremieres.com Learn more about your ad choices. Visit megaphone.fm/adchoices

Avoidance doesn't always look like silence, shutting down, or refusing to communicate. In fact, you can be highly verbal, expressive, and even confrontational—and still be avoiding the conversations that actually matter. In this episode, we're unpacking the sneaky ways avoidance shows up in relationships, from people pleasing and hyper-independence to criticism, passive aggressiveness, bickering, and numbing out.We're also getting personal about the ways we've recognized these patterns in our own lives and relationships. If you've ever thought, “It's not worth bringing up,” waited until resentment exploded, expected someone to read your mind, or convinced yourself you're just better off handling everything alone, this conversation is for you. We'll help you recognize avoidant communication and start moving toward more honest, assertive, self-connected conversations—without sacrificing kindness.Episode Highlights[0:39] - Why avoidance is so misunderstood—and why being highly communicative doesn't mean you're not avoiding.[2:15] - The “siren song of avoidance”: “It's not worth it,” “It'll only start a fight,” and “Why bother?”[4:20] - When holding things in turns into overcommunicating, sarcasm, resentment, or a “victim volcano.”[8:08] - Outsourcing emotional intimacy to kids, friends, family, or someone outside your relationship.[11:16] - Distracting and numbing with phones, TV, work, social media, and other forms of escape.[12:44] - People pleasing, “good girlitis,” and learning to tolerate other people being disappointed in you.[15:40] - A practical way to build your assertiveness muscle without starting with your hardest conversation.[19:58] - How criticizing and blaming can masquerade as communicating your needs.[23:16] - Replacing harshness with direct, kind communication that your partner actually has a chance of hearing.[25:48] - Hyper-independence, the “I'll handle it myself” mentality, and the self-fulfilling prophecy it creates.[28:37] - Shutting down, stonewalling, and compartmentalizing uncomfortable relationship problems.[30:10] - Victim volcano syndrome and passive aggressiveness: what sarcasm, digs, and “jokes” may really be telling you.[34:13] - Why seemingly harmless bickering—or “toxic ping pong”—can slowly damage connection.[37:02] - Sweeping frustrations under the rug and recognizing just how many “normal” relationship behaviors are actually avoidance.[38:52] - Self-connected communication: getting underneath frustration, naming your emotions, identifying your needs, and coming forward clearly.[41:36] - Practicing communication people can hear, repairing when you get it wrong, and taking responsibility for your side of the street.If today's discussion resonated with you or sparked curiosity, please rate, follow, and share "Insights from the Couch" with others. Your support helps us reach more people and continue providing valuable insights. Here's to finding our purposes and living a life full of meaning and joy. Stay tuned for more!Ever stayed quiet to keep the peace and felt yourself disappear? The Cost of Quiet is for anyone who avoids conflict and pays the price. Reclaim your voice, strengthen your relationships, and experience real peace. Order your copy and join the movement: https://www.colettejanefehr.com/new-book

Carole Lawson, Co-Founder and Chief Data Officer of MarketStorm, explains why the traditional marketing funnel no longer reflects how customers make decisions, and why marketers need a new approach to trust, influence, and measurement. SHOWPAGE: www.ninjacat.io/blog/wgm-podcast-how-trust-is-replacing-the-marketing-funnel  What Gets Measured is brought to you by NinjaCat — the enterprise marketing intelligence platform built for agencies, media companies, and brands that need to do more with their data. NinjaCat unifies your marketing data, automates reporting, and powers AI Agents that move your team from insight to action — faster, smarter, and at scale.

In this episode of the PRS Global Open Keynotes podcast, Dr. Mihye Choi and Dr. Nicholas Vernice discuss the surveillance and management of silent breast implant rupture in patients over the age of 75. This episode discusses the following PRS Global Open article: "Management of Asymptomatic Breast Implant Rupture in Older Adult Patients: A Scoping Review, Discussion, and Recommendations" by Nicholas A. Vernice, Carter J. Boyd, Kshipra Hemal, Chris Amro, Thomas J. Sorenson, Jenn Park, Nolan S. Karp, Oriana Cohen and Mihye Choi. Read it for free on PRSGlobalOpen.com: https://journals.lww.com/10.1097/GOX.0000000000007821 Dr. Mihye Choi is a board-certified plastic surgeon at Hansjorg Wyss Department of Plastic Surgery at New York University Langone Health in New York, NY. Dr. Nicholas A. Vernice is a plastic surgery resident at Hansjorg Wyss Department of Plastic Surgery at New York University Langone Health in New York, NY. Your host, Dr. Damian Marucci, is a board-certified plastic surgeon and Associate Professor of Plastic Surgery at the University of Sydney in Australia. #PRSGlobalOpen; #KeynotesPodcast; #PlasticSurgery; Plastic and Reconstructive Surgery- Global Open The views expressed by hosts and guests are their own and do not necessarily reflect the official policies or positions of ASPS.

What would change in your business if social media became optional—not essential?In this special crossover episode, Holly sits down with Sophia Parra to explore how entrepreneurs can grow, nurture their audiences, and make sales without relying on constant social media content.After becoming a mom, Sophia reduced her workweek from 60 hours to just 18. That shift forced her to identify which activities were truly moving the needle—and which ones were simply keeping her busy.She shares how she replaced disconnected marketing tactics with a circular visibility ecosystem built around three essential priorities: growth, nurturing, and sales. You'll hear how low-lift offers, listening tours, strategic collaborations, and stronger boundaries can help you create more conversations, convert warmer leads, and protect your schedule.This episode is packed with real numbers, practical strategies, and honest insights about what works when you stop trying to be everywhere online.00:00:00 — Two different playbooks for scaling without social media00:01:30 — Creating a life-first business after becoming a mom00:03:00 — Reducing a 60-hour workweek to 18 hours00:04:30 — Why Sophia made social media optional in her business00:06:00 — The three marketing priorities: growth, nurturing, and sales00:07:30 — Auditing the role social media actually plays00:10:30 — Building a circular visibility ecosystem00:12:00 — Why content alone does not create meaningful nurturing00:13:30 — How a low-lift offer creates conversations and clients00:15:00 — Using listening tours to grow an email list and build authority00:18:00 — Replacing sales calls while protecting your schedule00:22:30 — Conversion rates from Sophia's low-lift offer00:25:30 — How collaborations expanded Sophia's network and audience00:27:00 — Boundaries and mistakes to avoid with low-lift offers00:30:00 — The key to pitching high-profile collaborators00:33:00 — Monetizing your audience like an influencer00:36:00 — Why you need to stop guesting and start hosting00:37:30 — Resources for building your own visibility ecosystemConnect with Sophia:Website: gotocoach.clubInstagram:  @sophiaparraPodcast: Marketing UnfilteredFree Resource: https://www.gotocoach.club/auditShe's A Big Deal Beta: https://docs.google.com/document/d/1iXW0B1s0PSqxJjDVpr0Z2PDrqfRblGj_dHzDO0FeLNQ/edit?tab=t.0

Australia has one of the world's fastest-moving electricity systems. It leads the world in rooftop solar, has deployed grid-scale batteries at extraordinary speed, and is now starting to replace its ageing coal fleet with cleaner sources of energy. But as renewable costs rise and electricity demand grows, can the transition remain affordable while maintaining a reliable power system? This week on Cleaning Up, Michael Liebreich is joined by Paul Simshauser, CEO of Iberdrola Australia, and one of Australia's leading energy economists. Drawing on decades of experience across electricity markets, networks and policy, Paul explains what makes Australia's power system unique, and what the rest of the world can learn from it. They discuss why rooftop solar has become so successful in Australia, how batteries are transforming electricity markets, and how the country's energy-only market encourages investment. They also explore the economics of replacing ageing coal plants, the costs of new renewable generation, the role of electricity pricing and demand tariffs, and what will be needed to build a resilient, affordable power system as Australia moves towards net zero. Topics discussed in this episode: The rooftop solar revolution How batteries are reshaping the grid Why solar is cheaper in Australia than elsewhere The challenges of retiring coal Whether renewables can stay affordable Building a resilient power system Leadership Circle: Cleaning Up is proud to be supported by its Leadership Circle. The members are Actis, Alcazar Energy, Arup, Copenhagen Infrastructure Partners, Cygnum Capital, Davidson Kempner, EcoPragma Capital, EDP, Eurelectric, the Gilardini Foundation, KKR, Mitsubishi Heavy Industries, National Grid, Octopus Energy, Quadrature Climate Foundation, Schneider Electric, SDCL and Wärtsilä. For more information about the Leadership Circle, visit cleaningup.live Links: Paul Simshauser's bio: https://www.linkedin.com/in/paul-simshauser-00106713/ Iberdrola Australia: https://www.iberdrola.com.au Link to Paul's articles: https://experts.griffith.edu.au/18942-paul-simshauser/publications Malcolm Turnbull on Cleaning Up https://www.youtube.com/watch?v=t9CUGRHCswU&t=5s Marc England on Cleaning Up https://www.youtube.com/watch?v=1tKVSJcS_SI Darren Miller on Cleaning Up https://www.youtube.com/watch?v=iBhkBTZ9lSI&t=2s Tony Abbott on Cleaning Up https://www.youtube.com/watch?v=_39HmAgq9RY&t=1s Subscribe to our newsletter: https://cleaninguppod.substack.com/ Acronyms: STC: Small-scale Technology Certificates CFD: Contract For Difference PPAs: Power Purchase Agreements IBGYBG: “I'll be gone, you'll be gone.” OEM: Original Equipment Manufacturer AEMO: Australian Electricity Market Operator LNG: Liquefied Natural Gas Chapters: 00:00 - Intro 02:28 - Paul's Background 04:07 - Iberdrola Australia 06:42 - Australia's Power System 09:15 - Battery Revolution 12:36 - Energy-Only Market 14:35 - Why Solar Succeeds 18:21 - Commercial Solar Challenge 24:30 - Ageing Coal Fleet 28:49 - Carbon Markets & Pricing 35:00 - Renewable Costs 39:18 - Future Demand 42:45 - Grid Resilience 48:00 - Outro

Mary Roach, author of Replaceable You, explores the past, present, and future of reconstructing or replacing human anatomy. Roach details the treatment of severe third-degree burns using allografts from cadavers or unconventional biological dressings like Icelandic cod skin. Advancements in 3D-printing allow researchers to use "ink" made of cells and collagen to create complex structures like heart ventricles and valves. Furthermore, the book examines xenotransplantation, which involves using genetically edited pigs to provide "stop-gap" organs for patients on waiting lists, and the potential for chimeras to grow human-compatible kidneys. Beyond high-tech solutions, Roach highlights the impact of tissue donation, where a single deceased donor can benefit 70 people through gifts of bone, skin, and corneas. Finally, Roach investigates the history of nasal repair and modern plastic surgeons' application of the Fibonacci sequence to achieve mathematical perfection in aesthetic procedures. (1)

This episode is a must-listen for anyone concerned about the future of America. The speaker dives into the latest news and developments that are shaping the country's trajectory, from the border crisis to the rise of the DSA and its impact on the Democratic Party's voter base. The conversation touches on several key issues, including President Trump's executive orders on birthright citizenship and birth tourism, and the implications of these policies for American society. The speaker also discusses the recent contempt of Congress charge against Dr. Fauci, and the importance of holding government officials accountable for their actions. Additionally, the episode explores the rise of the DSA and its efforts to replace the traditional Democratic voter base with a new, more radical demographic. The speaker also shares their thoughts on Tucker Carlson's recent "manifesto" and its potential implications for the future of American politics. They also discuss the importance of understanding the DSA's strategy and its impact on the country's future. Furthermore, the episode touches on the recent election results in Michigan, where a Democrat lost to a socialist candidate, and the implications of this trend for the Democratic Party. If you're concerned about the direction of the country and want to stay informed about the latest developments, this episode is a must-listen. The speaker offers a unique perspective on the issues shaping America's future, and provides valuable insights into the motivations and strategies of the DSA and other key players in the country's politics. Follow Carl Jackson:Facebook: https://www.facebook.com/carljacksonradioX/Twitter: https://twitter.com/carljacksonshowInstagram: https://www.instagram.com/thecarljacksonshowWebsite: http://www.TheCarlJacksonShow.comStore: https://CarlJacksonStore.comSee omnystudio.com/listener for privacy information.

This episode is a must-listen for anyone concerned about the future of America. The speaker dives into the latest news and developments that are shaping the country's trajectory, from the border crisis to the rise of the DSA and its impact on the Democratic Party's voter base. The conversation touches on several key issues, including President Trump's executive orders on birthright citizenship and birth tourism, and the implications of these policies for American society. The speaker also discusses the recent contempt of Congress charge against Dr. Fauci, and the importance of holding government officials accountable for their actions. Additionally, the episode explores the rise of the DSA and its efforts to replace the traditional Democratic voter base with a new, more radical demographic. The speaker also shares their thoughts on Tucker Carlson's recent "manifesto" and its potential implications for the future of American politics. They also discuss the importance of understanding the DSA's strategy and its impact on the country's future. Furthermore, the episode touches on the recent election results in Michigan, where a Democrat lost to a socialist candidate, and the implications of this trend for the Democratic Party. If you're concerned about the direction of the country and want to stay informed about the latest developments, this episode is a must-listen. The speaker offers a unique perspective on the issues shaping America's future, and provides valuable insights into the motivations and strategies of the DSA and other key players in the country's politics. Follow Carl Jackson:Facebook: https://www.facebook.com/carljacksonradioX/Twitter: https://twitter.com/carljacksonshowInstagram: https://www.instagram.com/thecarljacksonshowWebsite: http://www.TheCarlJacksonShow.comStore: https://CarlJacksonStore.comSee omnystudio.com/listener for privacy information.

San Francisco's trash cans have problems. From debris littering the streets around them, to the — more often than not — broken recycling compartments, these green garbage receptacles are past their intended life span. Replacing them has been a saga that Bay Curious started following in 2022, but at last the new cans are popping up on city streets. This is a refreshed version of our 2022 episode about the trash cans with an update at the end. Additional Resources: The Sordid Saga of San Francisco's Trash Cans Read the transcript for this episode Sign up for our newsletter Got a question you want answered? Ask! Your support makes KQED podcasts possible. You can show your love by going to https://kqed.org/donate/podcasts This story was reported by Christopher Beale. Bay Curious is made by Katrina Schwartz, Christopher Beale and Olivia Allen-Price. Additional support from Jen Chien, Katie Sprenger, Maha Sanad, Ethan Toven-Lindsey and everyone on Team KQED. Learn more about your ad choices. Visit megaphone.fm/adchoices

Maggie Berghoff, founder and CEO of The Online Business Academy™, a mentorship business that helps health and wellness professionals build successful online businesses while creating lives that align with their priorities.Through high-touch mentorship, guidance, and real-time support, Maggie helps experts move beyond the old online course model and build businesses rooted in proximity, transformation, and true client results.Now, Maggie's journey from nurse practitioner to best-selling author and founder of an 8-figure company shows what's possible when personal healing, purpose, and business vision come together.And while growing her company, building the right internal team, and raising three young children, she remains deeply committed to leading with calm, intention, and a peaceful mindset at home and at work.Here's where to find more:https://www.maggieberghoff.comhttps://www.instagram.com/maggie_berghoffhttps://www.tiktok.com/@maggie_berghoff________________________________________________Welcome to The Unforget Yourself Show where we use the power of woo and the proof of science to help you identify your blind spots, and get over your own bullshit so that you can do the fucking thing you ACTUALLY want to do!We're Mark and Katie, the founders of Unforget Yourself and the creators of the Unforget Yourself System and on this podcast, we're here to share REAL conversations about what goes on inside the heart and minds of those brave and crazy enough to start their own business. From the accidental entrepreneur to the laser-focused CEO, we find out how they got to where they are today, not by hearing the go-to story of their success, but talking about how we all have our own BS to deal with and it's through facing ourselves that we find a way to do the fucking thing.Along the way, we hope to show you that YOU are the most important asset in your business (and your life - duh!). Being a business owner is tough! With vulnerability and humor, we get to the real story behind their success and show you that you're not alone._____________________Find all our links to all the things like the socials, how to work with us and how to apply to be on the podcast here:https://linktr.ee/unforgetyourself

Are you a senior executive or elite corporate leader who thinks achieving true career optionality means you are forced to quit the corporate game you actually enjoy?   In this highly unique guest conversation, host Billy Keels sits down with Chad Greenlee, a partner at Creative Planning and one of the very first members to go through what is known today as the Executive Edge Advisory Program. Chad pulls back the curtain on why typical "popular opinions" regarding financial independence are flawed, sharing how a midnight flight unlock forced him to ditch cookie-cutter definitions of work-life balance and build a customized "ideal day" model. Discover how Chad utilized ghostwriting, marketing, and copywriting skills honed in his side venture to build a multi-million dollar intern pipeline for his employer, land a massive promotion to Vice President of Sales after seven previous rejections, and confidently master his career on his own timeline.  

Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Money Making Conversations Master Class with Rushion McDonald is America's premier entrepreneurship, business leadership, financial literacy, and wealth-building podcast featuring successful entrepreneurs, executives, founders, celebrities, and industry experts sharing actionable insights for professional and financial success. Business Podcast Entrepreneurship Small Business Business Growth Financial Literacy Wealth Building Black Entrepreneurs Minority Business Leadership Executive Leadership Business Funding Marketing Strategies Personal Development Startup Advice Sales Training CEO Interviews Founder Stories Professional Development Economic Empowerment Business Success Networking Brand Building Innovation How to start a business Small business funding Entrepreneur success stories Business leadership podcast Wealth building strategies Black entrepreneur podcast Minority business development Marketing for small businesses Business growth strategies Startup funding opportunities Executive leadership training Financial literacy education Success mindset podcast Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Demond Martin. Co‑founder and CEO of Well With All, a Black‑owned purpose‑driven wellness brand—joins Rushion McDonald to discuss health equity, entrepreneurship, his life story, his upcoming book Friends of the Good, and his new $1M AI Health Equity Prize. Martin shares how his difficult upbringing in the projects and rural North Carolina shaped his commitment to giving back. After a successful 21‑year career as the only Black partner at a major hedge fund, he launched Well With All to merge consumer products, wellness, and social impact. The brand donates 20% of its profits to health‑equity initiatives. He discusses product innovation, the importance of supplements in underserved communities, the power of Black longevity, and the need to prepare younger generations for healthier futures. He also explains his upcoming book—which uses Aristotle’s philosophy of “friends of the good” to show how meaningful relationships enable success. The conversation is energetic, inspirational, and focused on using business as a force for social good.

Listen and subscribe to Money Making Conversations on iHeartRadio, Apple Podcasts, Spotify, www.moneymakingconversations.com/subscribe/ or wherever you listen to podcasts. New Money Making Conversations episodes drop daily. I want to alert you, so you don’t miss out on expert analysis and insider perspectives from my guests who provide tips that can help you uplift the community, improve your financial planning, motivation, or advice on how to be a successful entrepreneur. Keep winning! Money Making Conversations Master Class with Rushion McDonald is America's premier entrepreneurship, business leadership, financial literacy, and wealth-building podcast featuring successful entrepreneurs, executives, founders, celebrities, and industry experts sharing actionable insights for professional and financial success. Business Podcast Entrepreneurship Small Business Business Growth Financial Literacy Wealth Building Black Entrepreneurs Minority Business Leadership Executive Leadership Business Funding Marketing Strategies Personal Development Startup Advice Sales Training CEO Interviews Founder Stories Professional Development Economic Empowerment Business Success Networking Brand Building Innovation How to start a business Small business funding Entrepreneur success stories Business leadership podcast Wealth building strategies Black entrepreneur podcast Minority business development Marketing for small businesses Business growth strategies Startup funding opportunities Executive leadership training Financial literacy education Success mindset podcast Two-time Emmy and Three-time NAACP Image Award-winning, television Executive Producer Rushion McDonald interviewed Demond Martin. Co‑founder and CEO of Well With All, a Black‑owned purpose‑driven wellness brand—joins Rushion McDonald to discuss health equity, entrepreneurship, his life story, his upcoming book Friends of the Good, and his new $1M AI Health Equity Prize. Martin shares how his difficult upbringing in the projects and rural North Carolina shaped his commitment to giving back. After a successful 21‑year career as the only Black partner at a major hedge fund, he launched Well With All to merge consumer products, wellness, and social impact. The brand donates 20% of its profits to health‑equity initiatives. He discusses product innovation, the importance of supplements in underserved communities, the power of Black longevity, and the need to prepare younger generations for healthier futures. He also explains his upcoming book—which uses Aristotle’s philosophy of “friends of the good” to show how meaningful relationships enable success. The conversation is energetic, inspirational, and focused on using business as a force for social good.