Podcasts about audience q

In January 1776, Thomas Paine told the American colonies to break free from their king. But what was supposed to come next? 250 years later, that question still doesn't have a good answer. To mark the anniversary of *Common Sense*, we traveled to Lewes, England, the town where Paine lived before he ever set foot in America, and recorded our first-ever LIVE episode inside Bull House, the building where Paine honed his ideas about citizens and their government. Joseph Adelman chairs a panel with scholars Leanne O'Boyle, Nicole Mahoney, and Jeanne Sheehan Zaino as they dig into the legacy of *Common Sense*: democracy's "day two problem," the women Paine wrote out of his own story, why "the law is king" keeps showing up on protest signs, and what a 15th-century building in a small English town can teach us about where democratic ideas actually take root. Recorded live in partnership with the Institute for Thomas Paine Studies at Iona University.Show Notes: https://www.benfranklinsworld.com/435 EPISODE OUTLINE00:00:00 Introduction00:01:06 What Happened After the Revolution?00:02:59 Live from the Bull House in Lewes, England00:04:49 A Template for Common Sense and Civic Life00:07:12 Thomas Paine's Legacy in Lewes, England00:10:24 Thomas Paine's Legacy in New Rochelle, New York00:16:04 Democracy's "Day Two Problem"00:22:50 Local Civic Engagement in Lewes00:27:46 Women and Common Sense00:34:54 Paine's Family Life in Lewes00:35:31 Reconstituting Government00:42:44 Violence and Change00:49:31 "No Kings" Protest and 'The Law is King'00:56:29 Thomas Paine's Legacy00:58:10 Audience Q&A01:18:20 Episode Wrap-UpRECOMMENDED NEXT EPISODES

Feb 16, 2026: Why Infrastructure is the Real Winner in the Age of AIWarren Buffett is widely credited with characterizing competitive advantages as moats that companies will aggressively build and will vigorously defend to protect themselves from attacks by others.The software industry has been a popular sector for investors in recent years due to its outsized growth rates and its ability to quickly iterate.Yet the barriers to entry are low here, and it's been difficult for software companies to build sustainable moats.That's perhaps one of the key reasons for the recent "SaaS-pocalypse", where many software stocks have sold off due to the emerging threat of AI and technological disruption.So where do we go from here? Are software stocks with lower prices now a compelling buying opportunity? Or are these falling knives with even more downside risk ahead?On Monday's livestream show, Bastion Fiduciary portfolio manager John Rotonti and I describe the status quo of the software industry. But we also discuss how infrastructure providers are emerging as the real winners in the age of AI.Power, cooling, networking, and other supporting functions are supply-constrained and are doing their best to meet the $3 trillion of AI infrastructure spending that will take place within the next five years. We discuss the turnaround taking place in manufacturing and why Amphenol, TE Connectivity, and Trane Technologies could be lucrative investment opportunities.Timestamps:00:00 – Welcome & Mardi Gras check-in02:30 – The SaaS reckoning: low moats, high competition08:00 – Valuations then vs. now (52x PE → 20x)12:00 – The stock-based compensation problem15:00 – Is it finally time to invest in SaaS?20:00 – Constellation Software: the acquisition machine28:00 – Nvidia & the AI infrastructure buildout38:00 – Hardware + software integration as a moat40:00 – Why Alphabet is the widest-moat AI company43:00 – Power, liquid cooling & the data center arms race47:00 – Labor shortages & re-industrialization50:00 – Audience Q&ALearn more about long-term investing at 7investing.com — get your first 7 days free at 7investing.com/subscribe#7investing #AIStocks #SaaS #Nvidia #Alphabet #JohnRotonti #StockMarket #Investing #AIInfrastructure #IndustrialStocks #ConstellationSoftware #LongTermInvesting

When Tony Xu cofounded DoorDash 13 years ago, he was rejected by more than 100 investors. Today, it's a $70B+ behemoth dominating the delivery industry. Tony joins SPC General Partner Aditya Agarwal to reveal how DoorDash won the delivery war and answer the burning question of whether AI agents pose a threat to his company. He also shares why customer obsession became the company's guiding principle, the challenges of digitizing the physical world, and how startups today can build competitive advantages in the age of AI. Tony Xu: https://www.linkedin.com/in/xutony/ Aditya Agarwal: https://www.linkedin.com/in/adityaagarwal3/South Park Commons: https://www.linkedin.com/company/southparkcommons/Apply to SPC: https://www.southparkcommons.com/applyChapters:(00:00:00) - Intro (00:01:00) - Becoming a founder(00:11:48) - Implementing AI and customer obsession (00:18:22) - Is AI a threat to DoorDash? (00:21:29) - Digitizing the physical world(00:25:31) - Company culture and values (00:31:33) - Tony's unpopular business opinion (00:37:42) - How to stay curious and motivated (00:39:31) - Preparing children for the new age (00:42:47) - Audience Q&A

Hala Taha's mindset was pushed to its breaking point by relentless rejection, discrimination, and loss. After three years of unpaid sacrifice at Hot 97, being fired and blackballed, repeatedly passed over for promotion, and ultimately losing her father to COVID, she had every reason to quit. But instead of waiting for permission, she rebuilt her psychology from the ground up, stacked her unique strengths, and carved out her own path. In this MIT keynote speech, Hala shares her raw, unfiltered come-up story and the exact mindset shifts that fueled her self-improvement and helped her build a profitable life and business against all odds. In this episode, Hala will discuss: (00:00) Introduction (05:18) Her Father's Grit and Palestinian Roots (08:41) Growing Up Between Two Worlds (15:51) Hot 97: Working for Free and Getting Blackballed (21:16) The Sorority of Hip Hop and MTV Rejection (28:35) Losing Her Father to COVID-19 in 2020 (37:54) Her Secrets to Profiting in Life (43:47) Audience Q&A Hala Taha is the host of Young and Profiting, a top 10 business and entrepreneurship podcast on Apple and Spotify. She's the founder and CEO of YAP Media, an award-winning social media and podcast production agency, as well as the YAP Media Network, where she helps renowned podcasters like Russell Brunson, Jenna Kutcher, and Neil Patel grow and monetize their shows. Through her work, Hala has become one of the most influential creator-entrepreneurs in podcasting. Sponsored By: Indeed - Get a $75 sponsored job credit to boost your job's visibility at Indeed.com/profiting Shopify - Start your $1/month trial at Shopify.com/profiting. Spectrum Business - Keep your business connected seamlessly with fast, reliable Internet, Phone, TV, and Mobile services. Visit https://spectrum.com/Business to learn more. Northwest Registered Agent - Build your brand and get your complete business identity in just 10 clicks and 10 minutes at northwestregisteredagent.com/paidyap Framer - Publish beautiful and production-ready websites. Go to Framer.com/profiting and get 30% off their Framer Pro annual plan. Quo - Run your business communications the smart way. Try Quo for free, plus get 20% off your first 6 months when you go to quo.com/profiting Working Genius - Take the Working Genius assessment and discover your natural gifts and thrive at work. Go to workinggenius.com and get 20% off with code PROFITING Experian - Manage and cancel your unwanted subscriptions and reduce your bills. Get started now with the Experian App and let your Big Financial Friend do the work for you. See experian.com for details. Huel -  Get all the daily nutrients you need with Huel. Grab Huel today and get 15% OFF with my code PROFITING at huel.com/PROFITING.  Resources Mentioned: Hala's Podcast, Young and Profiting: bit.ly/_YAP-apple  Hala's Agency, YAP Media: yapmedia.com    Active Deals - youngandprofiting.com/deals  Key YAP Links Reviews - ratethispodcast.com/yap YouTube - youtube.com/c/YoungandProfiting Newsletter - youngandprofiting.co/newsletter  LinkedIn - linkedin.com/in/htaha/ Instagram - instagram.com/yapwithhala/ Social + Podcast Services: yapmedia.com Transcripts - youngandprofiting.com/episodes-new  Entrepreneurship, Entrepreneurship Podcast, Business, Business Podcast, Self Improvement, Self-Improvement, Personal Development, Starting a Business, Strategy, Investing, Sales, Selling, Psychology, Productivity, Entrepreneurs, AI, Artificial Intelligence, Technology, Marketing, Negotiation, Money, Finance, Side Hustle, Startup, Mental Health, Career, Leadership, Mindset, Health, Growth Mindset, Habits, Positivity, Human Nature, Human Psychology, Critical Thinking, Robert Greene, Chris Voss, Robert Cialdini 

LIVE at Union Marks with the director and cast of A Sad and Beautiful World Part of the REMAINING photo exhibition discussion series for the Lokman Slim Foundation at the Abroyan Factory / Union Marks in Burj Hammoud The podcast is only made possible through listener and viewer donations. Please help support The Beirut Banyan by contributing via PayPal: https://www.paypal.me/walkbeirut Or donating through our Patreon page: https://www.patreon.com/thebeirutbanyan Subscribe to our YouTube channel and your preferred audio platform. Follow us on Facebook, Instagram & Twitter: @thebeirutbanyan TIMESTAMPS 0:00 Intro 2:16 Cyril Aris - director 14:16 Mounia Akl - Yasmina 23:05 Hasan Akil - Nino 33:18 Nadyn Chalhoub - Leila 37:00 Tino Karam 53:07 Audience Q&A

Kitchen Revolution: Elevating Kitchens and Baths for Lifestyle, Wellness, and Technology. Designers and innovators discuss how kitchens and bathrooms have transformed into lifestyle-focused, wellness-oriented, and tech-savvy spaces, shaping the homes of today's discerning clients. From pandemic-driven shifts to smart appliances, spa-like bathrooms, and open-concept living, this panel explores the evolving demands of homeowners and the strategies designers use to balance aesthetics, function, and innovation. 1. Introduction Host Virzine Hovasapyan, Experience Director of Marketplace of Innovation for Pacific Sales, introduces the panel and sets the stage: kitchens and baths are no longer purely functional—they are deeply personal lifestyle environments. Emphasis on the convergence of beauty, comfort, and smart technology to meet wellness-focused and tech-savvy client needs. 2. Panel Introductions Karen Rideau, Kitchen Design Group: three decades of experience, expanding from kitchen and bath to full interior architecture. Holly Hollenbeck, HSH Interiors: bi-coastal firm specializing in remodels and new builds, high focus on kitchen and bath. Lori Hafele, Hafele Design: luxury cabinetry-focused design, hard surfaces specialist. Pam Barthold, Poziom Designs: national remodels, holiday decor focus, wellness integration. 3. Pandemic and Post-Pandemic Shifts Kitchens evolving into living spaces for family interaction and entertaining. Movement from segmented to open-plan living; the kitchen is now the “heart of the home.” Rise of furniture-like cabinetry and hidden storage to maintain aesthetic beauty. 4. Collaboration Between Designers and Showrooms Importance of collaboration between designers, manufacturers, and showrooms. Need for continuous education on appliance and technology innovations (steam ovens, microwaves/air fryers, modular units). Designers as knowledge bridges for clients. 5. Wellness in Kitchen and Bath Bathrooms now spa-like: steam showers, infrared saunas, cold plunges. Kitchens adapting for wellness-conscious lifestyles: beverage centers, accessible hot water, herb gardens, indoor/outdoor cooking integration. Efficiency for tech-savvy clients: proximity solutions, outdoor entertaining, smart layout adjustments. 6. Technology Integration Challenges of over-technology vs. simplicity: balancing clients' desire for tech with usability. AI and digital inspiration may introduce non-buildable concepts; designers interpret and adapt. Circuit breaker capacity and smart appliance integration considerations. Strategies to educate clients and ensure the right technology fits their lifestyle. 7. Translating Client Dreams into Practical Design Process includes space planning, 3D renderings, vendor collaboration, and creative problem-solving. Importance of editing ideas to fit space and budget. Budget discussions start early; expectations around pricing, lead times, and custom millwork. 8. Setting Expectations & Discovery Use of robust client questionnaires to uncover lifestyle, wellness, and usage patterns. Managing timelines, trades, and supply chain realities. Addressing dual-client decision-making and educating clients on care and maintenance of appliances and materials. 9. Audience Q&A Highlights Managing open-plan kitchens and sound/visual separation through back kitchens, secondary prep spaces, and innovative layouts. 10. Key Takeaways Kitchens and bathrooms are now multifunctional lifestyle spaces, blending aesthetics, wellness, and technology. Collaboration, client discovery, and education are critical for successful design. Designers balance aspirational visions with practical realities to deliver functional, beautiful, and personalized homes. Links / Resources: Pacific Sales – West Coast leader in Kitchen, Bath, Outdoor, and Total Home solutions. Kitchen Design Group – Caren Rideau HSH Interiors – Holly Hollenbeck Hafele Design – Laurie Hafele Pazzam Designs – Pam Barthold

Tim Crawford and Isaac Sacolick, both former Chief Information Officers and world-class CIO advisors, join Michael Krigsman on CXOTalk episode 909 to break down why enterprise AI strategies are failing, what separates transformational CIOs from those who are drowning, and why earning your seat at the table matters more than ever in 2026.You'll discover:✅ Why Tim says both AI strategy AND IT execution are failing, and what CIOs are focused on instead of outcomes✅ The "three-legged race" framework: how CIO behavior, IT culture, and external perception must align for strategic credibility✅ Why most CIOs have only a "layperson's understanding" of their own business, and how that kills AI value✅ Tim's two swim lanes of AI success: invisible integration or robust training (there is no middle ground)✅ Why Isaac says AI is "reshaping" business but not yet "transforming" it, and the product management shift that changes everything✅ How to evaluate agentic AI: the human-in-the-loop vs. human-out-of-the-loop decision framework and why cybersecurity proves you can't wait✅ The shadow AI paradox: why the best CIOs encourage it (with guardrails) instead of shutting it down✅ The three skills every IT professional needs now: business acumen, critical thinking, and data literacy⏱️ TIMESTAMPS0:00 Cold open: "If you think you should have a seat at the table, you've failed"0:35 Why both AI strategy and IT execution are failing2:08 The productivity measurement problem with AI2:45 What CEOs and boards want from CIOs in 20264:28 Why CIOs don't truly understand their business6:54 Why organizations are stuck in AI pilot mode9:04 Tim's 2 swim lanes: invisible AI vs. training-wrapped AI11:23 Audience Q&A: Inside-out thinking vs. outside-in thinking14:34 The 3-legged race: earning your seat at the table17:09 Moving from AI efficiency to true business transformation20:03 The shift from project-oriented to product-oriented IT20:31 AI governance, CISO alignment, and data sensitivity27:15 Agentic AI: fully autonomous vs. human-in-the-loop34:46 Agentic AI strategy and the value equation (opportunity minus cost)38:46 Shadow AI: innovation source or security threat?43:00 Governance as culture, not a bolt-on46:00 The AI skills gap: business acumen, critical thinking, data skills, and curiosity49:46 Are survival-mode CIOs sabotaging their careers?52:15 What CIO greatness looks like in 2026

Welcome to ROADSIDE presented by Zwift! This episode features a 45 minute interview with Shane Miller or GP Lama, the guru of Cycling Tech. Jet and Shane sat down at the Magene Expo area at Tour Down Under to discuss: - Shane's background in tech and how he developed and grew his Cycling Youtube channel - State of bike tech in 2026 - Power meters, once a luxury, now a staple - Radars, must have features, testing protocol and why they work - Tech at the Tour Down Under, what Shane's noticed - Audience Q&A Thanks to Shane for his time and Magene for organising the Interview. - Zwift Mailbag: Send in your questions, hypotheticals, takes and everything in between to jet@roadsidepod.com and we will read the best ones out in the next episode! - - Roadside's Summer of Cycling is brought to you by SOCIETY CYCLING! Society produce quality cycling apparel made for your everyday rider and keen club racers. Society are committed to making every piece better than the last in their tireless pursuit of perfection. Head to https://www.societycycling.com and use code ROADSIDE15 for 15% off all full priced products. The Roadside Cycling Show is presented by Zwift Need a trainer? Try the all-new Zwift Ride - zwiftinc.sjv.io/55gL11 Head to https://www.zwift.com/ to start your free 14-day trial today. T he Roadside Cycling Show is also supported by FE Sports, the home of premier cycling brands and products such as Wahoo, Pirelli, 100%, Campagnolo and more. Check out their range now - https://www.fesports.com.au/Shop/c_230/Products

In this special episode, Morgan brings his fiancée Simona on the podcast for the very first time to have a raw, unfiltered conversation about relationships, masculine and feminine energy, leadership in love, and why they believe fighting with your partner is a red flag. They share their personal frameworks for communication, the controversial take that unconditional love doesn't exist in romance, and practical tools like the "Shit Sandwich" for keeping your relationship healthy.Episode Timestamps0:00 Trailer0:48 Introduction: Meet Simona2:08 How Morgan and Simona Met3:50 The First Date That Changed Everything6:40 Diving Into Relationship Questions8:07 Why Fighting in a Relationship Is a Red Flag9:01 The Scuba Diving Analogy for Conflict10:21 Energy Management in Relationships11:11 The 51/49 Rule: Who Leads?15:06 Leadership in a Relationship18:15 Why "Happy Wife Happy Life" Is Wrong19:21 Feminine Tests and the Need for Safety20:05 The Independent Woman Trap & Self-Sabotage21:26 Should Your Partner Be Your Best Friend?23:11 Masculine and Feminine Energy Roles24:14 Why Their Relationship Is Easy25:23 Stop Trying to Change Your Partner27:03 Values Alignment: The Real Key29:30 Personal Values vs Relationship Values32:05 Relationships Are Leadership33:07 The Feminine Wants to Be Led35:08 Money, Ambition and Providing for Your Family38:23 What If Both Partners Have 9 to 5 Jobs?39:50 Life Is a Game, Start Playing43:20 Is Love Enough in a Relationship?44:37 The "Shit Sandwich" Communication Tool50:04 Never Make Assumptions53:25 Does Unconditional Love Exist?59:36 What Makes a Relationship Easy: Being Whole1:00:34 The Three U's Every Woman Needs1:03:34 The Three C's Men Don't Want1:09:51 Chicken or Egg: Who Goes First?1:13:19 Audience Q&A: How Did You Know She Was The One?1:16:07 The Proposal Story: Lapland, Sickness and Priorities1:20:02 Was Simona Financially Independent?1:21:04 Do You Need a Successful Partner to Attract One?1:25:29 Look for Behavior Not Results1:27:07 Want a Volume 2? Let Us Know1:28:12 Advice to Her 18-Year-Old SelfAbout SimonaOriginally from Lithuania, Simona is Morgan's fiancée and the mother of their son Koa. A former sales professional with a military background, she brings a unique perspective on personal growth, surrender, and the balance of masculine and feminine energy in relationships. This is her first-ever podcast appearance.Connect with Simonahttps://www.instagram.com/simonaberenyte/Connect with Mehttps://www.youtube.com/@morgantnelsonhttps://www.instagram.com/morgantnelson

Recorded live at the Energy Transition Centre in Calgary, David, Sara, and Ed took on one of the toughest questions in Canadian climate politics: what does energy transition actually look like for Alberta? They dug into emissions, economics, diversification, and the uncomfortable trade-offs that tend to get glossed over in public debate. It's a fun conversation with an extended Q&A from the live audience. Just a note, unfortunately we had some mic issues so apologies for any audio hiccups you might notice. 

This episode of The Distribution features a live panel conversation moderated by Brandon Sedloff with Brian Cho, Mark Shoberg, and Mark Neely, recorded at iREOC. The discussion focuses on the growing importance of private wealth as a capital source for real estate operating companies and investment managers. Drawing from perspectives across family offices, OCIOs, and active operators, the panel unpacks how private wealth allocators think about portfolio construction, manager selection, and structure in today's market. The conversation offers a candid look at what actually drives decisions behind the scenes and how sponsors can more effectively engage this increasingly influential channel. They discuss:• How private wealth allocators approach portfolio construction across public markets, private equity, and real estate• The role of tax efficiency, liquidity preferences, and structure in private wealth investment decisions• What family offices and OCIOs look for beyond track record when evaluating real estate managers• How investor education differs across advisors, allocators, and end clients in the wealth channel• Where panelists see the most compelling opportunities in equity, debt, and special situations over the next 12 to 18 months Links: iREOC - https://irei.com/ireoc/ Brandon on LinkedIn - https://www.linkedin.com/in/bsedloff/ Juniper Square - https://www.junipersquare.com/ Mark Neely on LinkedIn - https://www.linkedin.com/in/mark-neely-6568269/ Mark Shoberg on LinkedIn - https://www.linkedin.com/in/mark-shoberg/ Brian Cho on LinkedIn - https://www.linkedin.com/in/brian-cho-66419222/ Topics: (00:00:00) - Intro(00:02:09) - Meet the panelists(00:03:58) - Understanding private wealth(00:07:17) - Portfolio construction insights(00:09:55) - Investment preferences and structures(00:13:07) - Navigating real estate investments(00:21:36) - The importance of track record(00:27:53) - Operational due diligence in wealth channel(00:29:22) - Educating financial advisors and clients(00:31:47) - Customizing asset allocation for clients(00:33:13) - Challenges and strategies in wealth management(00:37:31) - Operational challenges in wealth management(00:39:25) - Effective communication and networking(00:45:04) - Current market trends and opportunities(00:50:38) - Audience Q&A and final thoughts

In Episode 235, Tu and Lei break down a pivotal week for autonomous driving, global EV competition, and the future of premium automakers—from Silicon Valley to China and Europe.  The conversation opens with a surge of AV and robotaxi news: Tesla removing safety drivers in Austin, shifting FSD to a subscription model, and signaling potential approval in China and Europe; Waymo expanding into Miami; DiDi launching a new robotaxi platform in China; and large-scale robo-van ambitions from Mobileye–Volkswagen and Geely's Caocao Mobility. Together, these moves signal that autonomy is no longer experimental—it's scaling.Tu frames autonomy through four lenses: technology readiness, silicon and cloud stacks, regulatory approval, and societal impact, including job displacement and cost reduction through scale. While Tesla remains the benchmark, Chinese players like XPeng, Huawei, and Baidu are rapidly closing the gap—supported by a more permissive regulatory environment in China.The episode then pivots to a blunt assessment of the premium auto sector. Porsche's collapse to ~42,000 units in China, deep price cuts from BMW and Mercedes, and the stark comparison between Porsche's Macan EV and Xiaomi's YU7 highlight how “premium” is being redefined by software, features, and price—not heritage.Tu and Lei argue that the high-margin glory days for German luxury brands are over, not just in China but globally, as Chinese OEMs demonstrate faster iteration, lower costs, and mass-market appeal—especially to younger and female buyers. The discussion closes with battery swapping (BAAS), cold-weather EV realities, and whether Chinese automakers could realistically build trust and scale in North America.Strategic, candid, and forward-looking, this episode explains why autonomy and affordability—not badges—will define the next era of the auto industry.___

A @Christadelphians Video: **YouTube Video Summary / Description**Is faith in the Bible truly blind? In this thought-provoking first session of our new series, we tackle a foundational question: How can we believe in the miracles recorded in Scripture? We explore the common challenge of "blind faith" and present an outstanding case for a belief that is grounded in evidence.Join us for an insightful discussion that moves beyond the "God of the gaps" accusation. We examine the powerful example of Abraham's faith, which was not blind but built on a history of God's proven promises. This presentation also introduces the compelling evidence of Bible prophecy, using the modern nation of Israel as a remarkable witness to the Bible's divine authority.Discover why the Bible's consistent message and profound understanding of human nature make it a unique and trustworthy guide. This is an inspiring start to a 20-week series designed to strengthen your confidence in God's Word.**Chapters:**00:00 - Introduction00:48 - Addressing the "Blind Faith" Challenge01:25 - Abraham: An Example of Evidence-Based Faith03:16 - Is Using the Bible Circular Reasoning?03:52 - Testing the Bible's Reliability with Prophecy04:44 - Audience Q&A: Confidence in the Bible05:48 - The Purpose of Miracles in the Bible08:18 - Beyond Miracles: The Power of God's Message11:44 - Conclusion and Series Preview**Bible Verses Featured:**

Dr. Kelly Cohen is a Professor of Aerospace Engineering at the University of Cincinnati and a leading authority in explainable, certifiable AI systems. With more than 31 years of experience in artificial intelligence, his research focuses on fuzzy logic, safety-critical systems, and responsible AI deployment in aerospace and autonomous environments. His lab's work has received international recognition, with students earning top global research awards and building real-world AI products used in industry.In this episode 190 of the Disruption Now Podcast,

Can we have guilt-free flying?David, Sara, and Ed chat with Sebastian Eastham, associate professor of sustainable aviation at Imperial College London, about the climate impacts of aviation and what we can actually do about it.The conversation covers immediate levers like contrail avoidance and operational changes that don't require waiting decades for new tech—plus the real potential (and limitations) of sustainable aviation fuels.It's a lively and at times blunt conversation, with sharp audience questions and limited patience for climate cosplay. You'll get the cosplay bit once you listen...

Episode 234 may go down as one of the most consequential conversations yet on China EVs & More. Tu and Lei unpack the Canada–China trade truce that effectively opens the door for Chinese EV imports into North America—and why this moment could trigger a chain reaction across the U.S., Mexico, and global auto markets.  Canada's decision to allow up to 49,000 Chinese EVs at just 6.1% tariffs isn't about volume—it's about symbolism. Once the door opens, it rarely closes. The hosts explain why this move pressures the U.S. ahead of USMCA renegotiations, accelerates conversations around Chinese manufacturing in Canada, and raises the stakes for GM, Ford, and the German luxury brands already losing ground in China.The episode also breaks down 2025 China auto and NEV sales, showing a maturing but brutally competitive market where growth now comes from stealing share, not market expansion. With BYD, Geely, Chery, Leapmotor, and Huawei-backed brands targeting aggressive 2026 volumes, the pressure on legacy OEMs—especially BMW, Mercedes, Audi, and Porsche—has never been higher.Tu and Lei debate which Chinese OEMs are best positioned for Canada and eventually the U.S., why affordable EVs in the $30–40K range are the real battleground, and how price cuts of 10–25% by German brands reveal structural inefficiencies long masked by premium margins.Strategic, provocative, and deeply grounded in real data, this episode explains why North America just entered a new phase of the China EV story—and why the next 12–18 months may redefine the global auto industry.___

Challenges of a First-Year Coordinator | Coach Josh Katz (West Orange HS)In this episode, Kyle and Matt sit down with Coach Josh Katz, Defensive Coordinator at West Orange High School in Orlando, FL, to discuss the real challenges of being a first-year coordinator. From managing egos to finding his identity as a play-caller, Coach Katz brings an honest and tactical perspective to the table. Whether you're stepping into your first coordinator role or you're a seasoned vet looking for fresh insight, this one delivers.TIMESTAMPS:00:00 – Intro & Coach Katz Joins the Show00:45 – Teaching Biomedical Science & Coaching Football02:00 – Coach Katz Shares His Philosophy as a First-Year DC03:30 – Game Planning: What No One Tells You05:15 – Struggles with Practice Planning and Time Management07:10 – Learning to Adjust & Getting Staff Buy-In10:00 – Building the Call Sheet: The Weekly Process14:00 – Halftime Adjustments & Communication with the Staff18:20 – Teaching Coverage Rules to Young DBs22:30 – What Coach Katz Would Tell Himself Week 125:45 – Audience Q&A and Final ThoughtsKEY TAKEAWAYS:First-year coordinators often face information overload — simplify and clarify.You can't do it alone. Building staff trust and communication is essential.Practice planning is harder than it looks — reps need purpose.Teaching players your system is just as important as having one.Whether you're a high school coordinator, aspiring coach, or just a ball junkie, this episode packs insight, honesty, and some solid laughs.Don't forget to LIKE and SUBSCRIBE for more deep-dive football content!Listen on Apple Podcasts, Spotify, or wherever you get your pods.Got questions or topics you want us to cover? Drop them in the comments or hit us up on Twitter @BoardDrill!

How do we prepare Gen Z for a workforce being reshaped by Artificial Intelligence? Recorded live from the National Youth Apprenticeship Summit in Alexandria, Virginia, this episode explores the "Wild West" of the modern innovation economy and the vital role of youth apprenticeships in building future-ready career pathways. This special episode is made possible by our sponsors: CareerWise, a leader in high-quality modern youth apprenticeship systems, and PAYA (Partnership for the Advancement of Youth Apprenticeship), a collaborative initiative assisting partners in developing robust apprenticeship programs across the U.S.. Host Mike Palmer is joined by three experts to discuss the intersection of emerging technology, educational equity, and early career development: Shalin Jyotishi, Managing Director of the Future of Work and Innovation Economy Initiative at New America, explains how technology drives long-term economic growth and why strengthening the link between tech-based growth and economic security is essential. Gina Worthy, owner of Worthey Solutions International, provides deep insights into Gen Z—the "AI native" generation—and their unique needs for purpose-driven work and multi-generational interaction. Steve Jurch, lead of the Center for Policy and Practice at the Association of Community College Trustees (ACCT), highlights community colleges as an "innovation engine" that can rapidly respond to local industry needs and the AI revolution. Key Takeaways: AI Native vs. AI Fluent: Understanding how Gen Z's lifelong relationship with technology shifts their expectations of employers. The Experience Gap: How AI is changing entry-level work and why work-based learning is more critical than ever to bridge the gap between education and employment. Community Colleges as Catalysts: Why these institutions are becoming the primary choice for workforce development and short-term credentials in the innovation economy. The Future of Youth Apprenticeships: Exploring how these programs combine high school dual enrollment with structured apprenticeship to provide early career awareness and skill development. As we enter the AI "wild west," youth apprenticeships offer a vital bridge to purposeful, innovation-driven careers. Timestamps: 0:00 Intro 4:00 Gen Z & Purpose 8:00 Innovation Economy 14:00 Community College Role 35:00 Audience Q&A

In this live panel discussion on the Manufacturing Culture Podcast, host Jim Mayer engages with four industry experts from diverse backgrounds in manufacturing, robotics, and semiconductors. The conversation explores their personal journeys, definitions of culture in manufacturing, the importance of speed and precision, and how to engage the next generation in the industry. The panelists share insights on current roles, challenges in the semiconductor industry, and the need for a cultural shift to attract young talent. The session concludes with audience questions addressing misconceptions in the industry and the importance of education and hands-on experience.TakeawaysThe importance of culture in manufacturing is about infusing values into the workforce.Personal journeys in manufacturing often involve unique paths and experiences.Speed and precision are critical in the semiconductor industry, impacting production and quality.Engaging the next generation requires innovative approaches and hands-on experiences.The semiconductor industry is facing a talent shortage that needs to be addressed.AI and technology are reshaping the manufacturing landscape, leading to new opportunities.Trade programs in schools are essential for fostering interest in manufacturing careers.Misconceptions about the industry can hinder recruitment and understanding of roles.Collaboration and teamwork are vital for success in manufacturing environments.The future of manufacturing will rely on a diverse range of skills and backgrounds. Chapters00:00 Introduction to the Panel and Icebreaker06:43 Defining Culture in Manufacturing10:09 Personal Journeys in Manufacturing16:15 Current Roles and Responsibilities24:59 Speed and Precision in Manufacturing33:36 Engaging the Next Generation in Manufacturing44:31 Audience Q&A and Misconceptions in the Industry

Send us a textWe lay out why Venezuela's turning point is about restoring balance in a complacent world, why selective leverage beats endless aid, and how China's failed guarantee dents authoritarian credibility. Then we switch gears to rapid-fire listener questions on healthcare, taxes, EVs, and the conservative movement's roots.• Cold War logic reframed for a modern power contest• Venezuela as a weak link in an autocratic chain• Limits of aid and the case for decisive leverage• China and Russia credibility hits and deterrence• America-first foreign policy without isolationism• Healthcare incentives and free market signals• Property tax, education value, and voter consent• EV mandates, solar credits, and distorted demand• MAGA's Reagan roots and media double standards• Reagan's trade principle and closing perspectiveHead over to the YouTube show, subscribe to the channel, watch a show or two, like and share so we can continue our movement, spreading truth and restoring common sense, conservative politics in the American householdSupport the show

Merry Christmas Eve everyone!

Welcome to The Bama Standard Post Game Show, your trusted source for Alabama football postgame reactions, College Football Playoff breakdowns, and unfiltered Crimson Tide analysis. Hosted by Justin Riley, Johnathan Lewis, and Karl Taylor, this episode delivers immediate reactions and raw insight from Alabama vs Oklahoma, a massive revenge rematch played on the road with everything on the line in the first round of the College Football Playoffs.The Crimson Tide entered the matchup looking to avenge the regular-season loss and keep their CFP national championship hopes alive. We break down Ty Simpson vs a dominant Oklahoma defense, evaluating Alabama's offensive execution, quarterback play, and key turning points. On the other side, John Mateer challenged an equally physical Alabama defense, creating a high-level chess match between two elite units.This show also analyzes the coaching battle between Kalen DeBoer and Brent Venables, highlighting adjustments, play-calling, and game management. We identify the Players of the Game for Alabama, discuss the biggest positives and negatives, and open the floor for live Audience Q&A. We wrap things up with final thoughts on Alabama vs Oklahoma and what this result means moving forward.If you're an Alabama football fan, Oklahoma football fan, or a college football and CFP fan, this is must-watch postgame coverage.The Bama Standard Post Game Show is hosted by Justin Riley, Johnathan Lewis, and Karl Taylor.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

One on One Video Call W/George https://tidycal.com/georgepmonty/60-minute-meetingSupport the show:https://www.paypal.me/Truelifepodcast?locale.x=en_USThe Lila Code: https://orcid.org/0009-0008-4612-3942

Rupert Soames OBE is Chair of the CBI and Smith & Nephew plc and  former CEO of Serco Group plc and Aggreko plc. Tune in to hear his thoughts on: Key moments from Rupert's time as CEO that shape how he Chairs (1:33) Lessons from Aggreko's acquisition of GE's energy rental business (3:42) Was there anything a board could have done to mitigate Rupert's disagreement with the Misys CEO when he was a divisional manager? (5:33) When chairs added most value to Rupert as CEO (9:35) How Philip Rogerson, Aggreko Chair, said “no” without demotivating Rupert (11:37) How Rupert tries to help CEOs iterate and communicate strategy as a board member (17:09) The macro-trends Rupert's focused on as a Chair (21:22) How Rupert thinks about CEO compensation in a global market (26:17)⚡The Lightning Round⚡ (30:07) Audience Q&A (36:54) The value of execs taking non-exec positions alongside their main role (37:07) Rupert's thoughts on the value of board evaluations (38:18) Where boards need to professionalise further (40:02)Host: Oliver Cummings Producer: Will Felton Editor: Penelope Coumau Music: Kate Mac Audio: Nick Kold Email: podcast@nurole.com Web: https://www.nurole.com/nurole-podcast-enter-the-boardroom

A simple Instagram Q+A turned into a full-on avalanche of questions, so we decided to dedicate an entire episode to it! This episode is MacKenzie's rapid-fire, no-filter rundown on your biggest burning questions.

What if the most important market move happening right now… isn't the one you're watching?In this month's technical analysis segment with Mike Arnold, Chief Strategist of Path Trading Partners—and the guy Jim says “basically directs almost all my investments at this point.” Today, he joins Jim Iuorio and Bob Iaccino for another no-BS, caffeine-fueled breakdown of what's actually happening beneath the charts.In this episode of the Futures Edge, we dive straight into the volatility storm:

China EVs & More is back with a special Thanksgiving episode — and the China auto world did not take the week off.

The following is AI-generated approximation of the transcript from the Equipping Hour session. If you have questions you would like to be addressed in followup sessions, please direct those to Jacob. Opening & Introduction Smedly Yates: All right, this morning’s equipping hour will be about artificial intelligence—hopefully an attempt to introduce this topic, help us think through it carefully, well, biblically. Let me just open our time in prayer. [Prayer] Heavenly Father, thank you so much for your kindness to us. Thank you for giving us all that we need for life and godliness, for not leaving your people adrift. Thank you for putting us into this world exactly in the era that you have. We pray to be effective, fruitful, in all those things which matter for eternity in this world, in this time, in this age. God, we pray for wisdom, that you would guide our discussion here. We pray that this would be of benefit and a help to Grace Bible Church. We ask it in Jesus’ name. Amen. Here’s the layout for this morning and for a future equipping hour. We’ll be talking for about 35 minutes, back and forth—Jake and I—and then at 9:35, the plan is to go to Q&A. So, this is an opportunity for you to ask questions. At that point, I’ll surrender my microphone and you guys can rove and find people. For the next 33 minutes or so, you can be thinking about the questions you’d like to ask. Jake’s going to do most of the talking in our time here. I’m going to set him up with some questions, but just by way of intro, I want to get some things out of the way as we’re talking about artificial intelligence. You might be terrified, you might be hopeful. I want to get the scary stuff out of the way first and tell you what we’re not going to talk about this morning. Is that fair? Artificial intelligence is here. Some of you are required to use it in the workplace. Some of you are prohibited from using it in your workspaces. There’s nothing you and I can do to keep it from being here. Some of the dangers, some of the things you might be wondering about, some of the things that make the news headlines—over the last two weeks, scanning the headlines, there was a new AI headline every day. One of the terrible things that we won’t talk about today is the fact that nobody knows what’s true anymore, right? How can we discern? But the reality is the god of this world has been Satan for the entirety of human history and he’s a deceiver from the beginning. There’s nothing new about lies. They might be easier and more convincing with certain technological advances. The lies might be more ubiquitous, but the same humanity and the same satanology are at play. We may be concerned about societal fracture and distrust. Some people, if they distrust new tech, will withdraw from society. Others will fully embrace it. And so you get a fracture in society—those with, and those without tech. Some people will just say, “If the digital world works, we’re going to use it.” That’s not the Christian perspective. We’re not simply pragmatists. We do care about what’s true and what’s right. Some are worried about AI chatbot companions that will mark the extinction of relationships, marriage, society. I probably fall into the category of those who assume that AI will mean the end of music or the death of music and other art forms. That’s just me, a confession. People run to end-of-the-world scenarios—the robots decide they don’t need us anymore or the collective conscience of AI decides that humanity is a pollutant on Mother Earth, and the only way to keep the earth going is to rid itself of humanity. The survival of the planet is dependent on our own extinction. So AI will bring about a mass human genocide and the end of homo sapiens on earth. We know that’s not true, right? We know how the world ends, and it doesn’t end by an AI apocalypse. So don’t worry about that. Some people worry that AI will be a significant civilization destabilizer. That might be true. But we know that God is sovereign, and we know where society and civilization end up: at the feet of Jesus worshipping him when he rules on the earth for a thousand years leading into the eternal state. So don’t worry about that either. Some believe that AI is the antichrist. Now we know that’s not true. What is the number of the beast? 666. And this year it got rounded up to 67. So we know AI is not the antichrist. 67 is the antichrist. And if you want to know why the numbers six and seven got together in the year 2025 and formed the new word of the year, ask your middle schooler. Is that all the scary stuff? Not even close. I have a family member who has worked in military intelligence working on artificial intelligence stuff for a long time. He said it’s way scarier than you could possibly imagine. Do you want to say any more other scary scenarios we shouldn’t be thinking about? Jacob Hantla: No, we’ll probably cover some of those. Smedly Yates: Okay, great. What we want to focus on today is artificial intelligence as a tool. Just as an axe can be a tool for good or evil, AI is a tool that either has opportunities for betterment or opportunities for danger. So we want to think about that well. What you have on stage here are two of the shepherds at Grace Bible Church. You’ve got Jake Hantla, who is the guy I want exploring artificial intelligence and telling us how to use it well—he has and he does. And then you have me; I intend not to use artificial intelligence for now. We’re on opposite ends of a spectrum, but we share the same theology, same principles, same concerns, and I think the same inquisitive curiosity about technological advances. I drive a car; I’m not Amish in a horse and buggy. I like tech. But on this one, I’m just going to wait and see. I’m going to let Jake explore. From these two different poles, I hope we can be helpful this morning to help us all together think through artificial intelligence. What is AI? Smedly Yates: Let’s start with this, Jake. What is AI basically? Jacob Hantla: At the heart of it, most forms of AI are a tool to predict the next token. That might not mean much to you, but it’s basically a really fancy statistical prediction machine that accomplishes a lot of really powerful outcomes. It doesn’t have a mind, emotions, or consciousness, but it can really effectively mimic those things because it’s been trained on basically all that humanity has produced that’s available to it on the web and in other sources. I’ll try not to be super technical, but I want to pop up a picture. Can you go to slide one? When we think of AI, large language models are probably the one that most of you will think of: ChatGPT, Gemini, Grock, Claude, things like that. Effectively, what it does when we’re thinking of language—it can do other things, like images and driving cars and other things, but let’s think of words—it takes basically all that humanity has written and learns to predict the next token, or we could just think of the next word. So, all of you know, if I said, “Paris is a city in…” most of you would say France. Paris is a city in France. How do you know that? Everyone here has learned that fact. Large language models have gone through a process of training where they learn facts, concepts, and grammar, so that they can effectively speak like a human in words, sentences, and paragraphs that make sense. So how did it get to that? On the right, there’s just a probability that “France” is the most probable next word. How did it get there? Next slide. I’ll go fast. Basically, it’s a whole bunch of tunable weights—think of little knobs or statistical probabilities that interlink parameters. These things get randomized—there are trillions of them in the modern large language models. They’re just completely random, and then it starts feeding in text. Let’s say it was “It was the best of times, it was the…” and it might say “gopher” as the next word when you just randomly start, and that’s obviously wrong. The right word would be “worst.” So, over and over and over again, for something that would take one computer about a hundred million years to do what they do in the pre-training, they have lots of computers doing this over and over until it can adequately say, “Nope, it wasn’t gopher. It should be worst. Let’s take another crack at it.” It just manipulates these knobs until it can act like a human. If you fed it a mystery novel and at the end it would say, “The killer was…” it has to be able to understand everything before to adequately guess who the killer was, or “What is the capital of France?” It compresses tons and tons of knowledge from all of the written text. Then you start putting images in and it compresses knowledge from images and experience from life into a whole bunch of knobs—basically, numbers assigned so it can have an output that is reasonable. Next slide. You take people—pre-training is the process where you’re basically feeding text into it and it’s somehow learning. We don’t even know—humans are not choosing which knobs mean what. It’s a black box. We can sort of start to figure out which knobs might mean things like masculinity or number or verbs, but at the end, you just have a big bunch of numbers. Then humans come in and train it—reinforcement learning with human feedback. They say, “This is the kind of answers we want this tool to give.” At the outcome, people are saying, “We ask it a question, it outputs an answer, we say that’s a good one, that’s a bad one.” But in this, you can see there’s lots of opportunity for falsehood or biases—unstated or purposeful—to sneak in. If you feed in bad data into the training set, and if it’s trained on all of the internet—all that humans have made—you’re going to have a whole lot of truth in there, but also a whole lot of falsehood. It’s not learning to discern between those things; it’s learning all those things. In reinforcement learning with human feedback, we’re basically fine-tuning it, saying, “This is the kind of answer we want you to give,” and that’s going to depend on who teaches it. Then the final step is people judging the answers: “This is the kind of answer we want, this is the kind we don’t want.” Lots of opportunity for biases to sneak in. That was a long answer to “What is AI?” It’s a prediction machine with a whole lot of math going on. What Sets AI Apart from Other Technology? Smedly Yates: Jake, what sets AI apart from previous technological advances, especially as it relates to intention? Jacob Hantla: Tech could be as simple as writing, the wheel, the airplane, telephones, the internet—all those things. All of those, in some sense, enhanced human productivity, strength, our ability to communicate. We could pick up a phone and communicate over distance, use radio waves to communicate to more people, but it was fundamentally something that humans did—magnified. A tractor takes the human art, the human attempt to cultivate a field, and increases efficiency. AI can actually do that. A human in control of an AI can really augment the productivity and effectiveness of a human. You could read a book yourself to gain knowledge or have AI read a book, summarize it, and you get the knowledge. But AI can, for the first time, generate things that look human. It’s similar in some ways, but it’s very different in that it’s generative. AI and Truth Smedly Yates: Tell me about the relationship between AI and truth. You touched on it a little bit before. Jacob Hantla: AI contains a lot of truth. It’s been trained on even ultimate truth. AI has read the Bible more times than any of us ever could. To a large degree, it understands—as AI can understand—a lot of true things and can hold those truths simultaneously in ways that we can’t. But mixed in is a lot of untruth, and there’s no… AI can’t have the Holy Spirit. AI isn’t motivated the same way we are to know what’s true, to know what’s not. So, AI contains a lot of truth and can help you get to truth. You can give it a bunch of true documents and say, “Can you help me? Can you summarize the truth that’s in here? Or actually just summarize what’s in here?” If what’s in there was true, the output will be true; if what’s in there was false, it will output falsehood. It doesn’t have the ability or the desire to determine what is true and what’s not. AI, Emotion, Values, and Worldview Smedly Yates: So, ability and desire are interesting words. Let’s talk about emotion in AI, values in AI, worldview, and regulation of data. For us, true/false claims matter—or they don’t—depending on our worldview and values. Is there a mystery inside this black box of values, of emotion? How do we think about that? Jacob Hantla: First, AI doesn’t inherently have emotion or values, but it can mimic it based on the data it’s been trained on. You can ask the same AI a question and, unless you guide it, it will give you likely a hundred different answers if you ask the same question a hundred times. Unless it’s been steered in one direction, some answers will be good, some will be bad—everything in between. It’s generating a statistical probability. It doesn’t inherently have any of those things but can mimic them. It can be trained to have the values of the trainers. You can have system prompts where the system is prompted to respond in a way that mimics values, mimics emotions. The danger is if you just accept what it says as truth, which a lot of people will do. You say, “I want to know a piece of data,” and you ask the AI and the answer comes out, and you accept it. But you have to understand the AI is just generating a response based on probabilities. If you haven’t guided it to have a set of values, you don’t know what’s going to come out—and somebody may hide some values in it. Gemini actually did this. I think it was Gemini 2, but if you asked for a picture of the Founding Fathers, it would—because it was taught in the system prompt to prioritize diversity—give you images of a diverse group of females or different races, other than the races of the actual Founding Fathers, because it was taught to prioritize that. It had a hidden value in it. You can guide it to have the values you want with a prompt. It’s not guaranteed, but this is the kind of thing I would encourage you to do if you’re using these tools: put your own system prompt on it, tell it what worldview you want it to come from, what your aim is, and you’ll get a more helpful answer than not. Is AI Avoidable? Smedly Yates: Is AI something we can avoid, ignore, be blissfully ignorant about, put our heads in the sand? Jacob Hantla: You could, but I think it’s wise that we all think about it. I’m not encouraging people to adopt it in the same way that I have or Smed has. But the reality is, the world around us has changed. It’s irreversibly different because of the introduction of this technology. That’s what happens with any technology—you can’t go back. Technological advances are inevitable, stacked from scientific discovery and advances. If OpenAI wasn’t doing what it’s doing, somebody else would. You can’t go back. You can’t ignore it because the world is going to be different. You’re going to be influenced by both the presence of it and the output of it. When you get called on the phone now with a very believable voice, it might not be the person it sounds like—AI can mimic what it’s been trained on. There’s thousands of hours of Smed’s voice; it won’t be long before Smed could call you and it’s not Smed. Or Scott Demerest could send you an email asking for a credit card and it’s not Scott. News reports are generated by AI; some of them are true, effective, good summaries, and some could be intentionally spreading disinformation or straight-up falsehood. If you’re not aware of the presence of these things, you could be taken advantage of. Some work environments now require you to do more than you could have otherwise, and not being willing to look at the tools in some jobs will make you unable to compete. Commercially Available AI Products: Benefits and Dangers Smedly Yates: Let’s talk about the commercially available AI products that people can access as a tool. What are the opportunities, the benefits, and what are some of the dangers? Jacob Hantla: There are so many we couldn’t begin to go through all of them, but the ones most of you will interact with are large language models—people just say “ChatGPT” like Kleenex for tissues. It was the first one that came out and is probably the most ubiquitous, one of the easiest to use, and most powerful free ones. There’s ChatGPT by OpenAI, Gemini by Google, Claude by Anthropic, Grock by X.AI (Elon Musk’s), DeepSeek from China (good to know that’s made/controlled by China), Meta’s Llama, etc. Do the company names matter? Yes. It’s good to know who made it and what their goals are, because worldviews are to some degree baked into the model. If you’re ignorant of that, you’ll be more likely to be deceived or not use the tool to the maximum. But with all of these, these are large language models. I drive around now with AI driving my car—ultimately, it’s a similar basis, but that’s not our focus here. Large language models open up the availability of knowledge to us. They’re superpowered Google searches. You can upload a bunch of journal articles, ask it to train you to mastery on a topic. For example, I was trying to understand diastolic heart failure and aortic stenosis—uploaded articles, had a built-in tutor. The tutor asked me questions, evaluated my understanding, used the Socratic method to train me to mastery. This could do in 45 minutes what would have taken me much longer on my own. Every tool can do that. The bad side: you could have it summarize articles for you, and now feel like you have mastery you didn’t actually gain. You could generate an essay or pass a test using it, bypassing the entire process of learning and thinking. Students: if you have a tool that mimics human knowledge and creativity, and you have an assignment to write an essay, and you turn in what the tool generated as your own, you’re being dishonest and you bypass the learning process. The essay wasn’t the point—the process was. Passing a test is about assessing if you know things. If the AI does it for you, you bypass learning. I liken it to going to the gym. The point isn’t moving the weights, it’s building muscle. With education, the learning process is like exercise. It’s easy to have AI do the heavy lifting and think you did it, but you didn’t get stronger. So, be aware of what you’re losing and what you’re gaining. The tool itself isn’t morally good or bad; it’s how the human uses it. The more powerful the technology, the greater good or evil can be accomplished. The printing press could distribute Bibles, but also propaganda. Using AI with Worldview and Preferences Jacob Hantla: When I interact with AI on the Bible, I put a prompt: “When I ask about the Bible or theology, you will answer from a conservative, evangelical, Bible-believing perspective that uses a literal, grammatical-historical hermeneutic and a premillennial eschatology. Assume the 66-book Protestant canon is inspired, inerrant, infallible, completely trustworthy, without error in the original manuscripts, sufficient, and fully authoritative in all it affirms. No sources outside of the 66 books of this canon should be regarded as having these properties. Truth is objective, not relative; therefore, any claim that contradicts the Bible so understood is wrong.” I’m teaching it to adopt this worldview. If you don’t set your preferences, you might get any answer. The tool can learn your preference over time, but it’s better to set it explicitly. Audience Q&A Presuppositions and Biases in AI Audience (Nick O’Neal): What about the values and agenda behind those who input the data? What discernment do the programmers have to put that information in? Jacob Hantla: That goes to baked-in presuppositions or assumptions in the model. Pre-training is basically non-discerning: it’s huge chunks of everything ever written—good, bad, ugly, in between. It’s trained not on a set of values. Nobody programs values in directly; the people making it don’t even know what's being baked in. The fine-tuning comes when trainers judge outputs and reinforce certain responses. System prompts—unseen by users—further guide outputs, reflecting company worldviews. Companies like OpenAI are trying to have an open model so each person can let it adopt their own worldview, but there are still baked-in biases. For example, recent headlines showed some models valuing certain people groups differently, which reflects issues in training data or the trainers' worldview. You’re right to always ask about the underlying assumptions, which is why it would be foolish to just accept whatever comes out as truth. In areas like engineering, worldview matters less, but in many subjects, the biases matter. Is There an AI Bubble? Audience (Matthew Puit): When AI came out, the costs rose artificially by companies. Is the AI bubble going to pop? Jacob Hantla: I don’t know. I think AI will be one of the most transformational technologies. It’ll change things in ways we anticipate and in ways we don’t. Some people will make a lot of money, some will flop. If I knew for sure, I could make a lot of money in the stock market. AI-Generated Worship Music Audience (Rebecca): I see AI-generated worship music based on Psalms, but it’s generated by AI. Is anything lost in AI-generated worship music? Jacob Hantla: AI doesn’t have a soul or the Holy Spirit. It can generate worship music with good doctrine, but that doctrine didn’t come from a place of worship. AI can pray a prayer, but the words aren’t the result of a worshipful heart. You can worship God with those words, but you’re not following a human author who was worshipping God. For example, my kids used Suno (an AI music tool) to set a Bible verse to music for memorization—very helpful. Some might be uncomfortable with music unless it was created by a human; that’s a preference. Creativity is changing, and it will get hard to tell if music or video was made by a human or by AI. That distinction is getting harder to make every day. Setting Preferences in AI Tools Audience (Lee): You mentioned putting your preferences in. How do I do that, especially with free tools? Jacob Hantla: Paid AIs get more processing power, context window, and can use your preferences more consistently. Free versions have some ability—you can usually add preferences in the menu. But even if not, you can paste your preferences at the beginning of your question each time: define who you are, what you want, what worldview to answer from. For example: “I’m a Bible-believing Christian,” or “I’m a nurse anesthesiologist.” That helps the AI give a better answer. Parental Guidance and Children Using AI Smedly Yates: What should parents be aware of in helping their kids navigate AI? Jacob Hantla: Be aware of dangers and opportunities. Kids will likely use these tools, so set limits and help them navigate well. These tools can act like humans—kids without friends might use them as companions, and companies are adding companion avatars, some with sinful tendencies. That can be a danger. For school, a good use is as a tutor: after a quiz, have your child upload the results and ask, “Help me understand where I’m weak on this topic.” But also, be aware of the temptation to use AI to cheat or shortcut the process of learning, discovery, and thinking. Which AI Model? Will AI Become Self-Aware? Audience (Steve): Is there a model you recommend? And does the Bible preclude the possibility of AI becoming self-aware? Jacob Hantla: There’s benefits and drawbacks to all. For getting started, ChatGPT or Perplexity are easiest. Perplexity lets you limit sources to research or peer-reviewed articles and can web search for verification—good guardrails. I build in prompts like “verify all answers with at least two web sources, cite them, and state level of confidence.” On self-awareness: AI will never have the value of humans—they're not created in God’s image, they’re made in our image, copying human behavior. Will they gain some kind of self-awareness? Maybe, in the sense of mimicking humanness, but not true humanity. They won't have souls. They may start to fool more people as they get better, but Christians should use AI as a tool, not ascribe humanity or worship to it. AI Hallucinations Smedly Yates: Do you have an example of a hallucination? Jacob Hantla: Yes, Ben James was preparing for an equipping hour session and found a book that fit perfectly—the author and title sounded right. He asked where to buy it, and the AI admitted it made it up. That happens all the time: the model just predicts the next most probable thing, even if it’s false. Hallucinations happen because it’s a probability machine, not a truth machine. This probably won’t be a problem forever, but for now it’s very real. Ask it questions about topics you know something about so you can discern when it’s off, or bake into the prompt, “verify with web search, cite at least two sources.” For Bible/theology, your best bet is to read your Bible daily so you have discernment; then use tools to help, not replace, your direct interaction with God’s Word. There’s a wide gap between knowing the biblical answer and having your heart changed by slow, prayerful reading of the text and the Spirit’s work. If we run to commentaries, YouTube sermons, pastors, or even study notes before we’ve observed and meditated, we’re shortcutting the Word of God. The dangers predate the internet. We’re out of time. We’ll have a follow-up teaching on AI. Submit questions to any elders or the church office if you want your question addressed in the next session. The post Equipping Hour: Biblically Thinking About AI (Part 1) appeared first on Grace Bible Church.

In this episode of the Volunteer Nation Podcast, Tobi Johnson shares a webinar featuring Jennifer Bennett of Idealist and Travis Sternhagen, Volunteer Manager at Kinship Community Food Center. The episode delves into the transformative community-centric approach adopted by Kinship, emphasizing mutual aid, trust, and relationships over traditional transactional models of volunteerism.  Tobi and Jennifer discuss the challenges and strategies involved in fostering a sense of community among volunteers and service recipients alike, highlighting practical steps and profound insights shared by Travis. This episode offers invaluable guidance for anyone looking to reinvigorate volunteer engagement by making it deeply relational and community-oriented. Full show notes: 188. Let's Talk Volunteering with Weave: the Social Fabric Project Weave the Social Fabric Project - Episode Highlights [02:58] - The Weave Project and Volunteerism [06:54] - Tobi and Jennifer's Insights on Community Building [08:27] - Travis' Unique Approach to Volunteer Engagement [15:10] - Kinship Community Food Center's Philosophy [28:09] - Challenges and Solutions in Volunteer Management [32:07] - Setting Boundaries in Healthy Communities [32:47] - The Compost Metaphor for Community Building [35:59] - Volunteer Influence Beyond the Organization [38:43] - Engaging Volunteers for Long-Term Commitment [42:11] - Audience Q&A: Building Community with Volunteers [49:05] - The Importance of Rituals in Community Building [50:50] - Managing Up and Embracing Community-Centric Approaches  Helpful Links VolunteerPro Impact Lab Volunteer Nation Episode 179 - Transformative Service Experiences with Frederick J. Riley and Jackie Wolven Weave: The Social Fabric Project at The Aspen Institute VolunteerMatch/Idealist  Kinship Community Food Center  Find Michael on LinkedIn Find Jennifer on LinkedIn  Find Travis on LinkedIn  Thanks for listening to this episode of the Volunteer Nation podcast. If you enjoyed it, please be sure to subscribe, rate, and review so we can reach more people like you who want to improve the impact of their good cause. For more tips and notes from the show, check us out at TobiJohnson.com. For any comments or questions, email us at WeCare@VolPro.net.

On this week's episode of The Business of Watches, we're doing something a little different. We're taking your questions, and we've got a special guest as Hodinkee Editor-In-Chief, James Stacey, joins the podcast to help answer your queries on the business side of the dial. We hit a lot of topics, from the best perpetual calendars under $20,000, to rising watch prices, the recent surge in Swiss watch exports to the U.K., and just how popular is Halloween in Switzerland? It's a fun episode, and we hope you enjoy it. Be sure to leave any thoughts or questions in the comments section, and we'll do our best to respond. Want to subscribe so you never miss an episode? This new show is being published to the original Hodinkee Podcasts feed, so you can subscribe wherever you find your podcasts, including Apple Podcasts, Spotify, or TuneIn.This episode of The Business of Watches is brought to you by Panerai. Click here to learn more about the Luminor Collection.Show Notes:2:30 How Halloween Became Part of Swiss Culture 3:20 William Friedkin's Sorcerer5:20 Simon Brette  5:25 Akrivia / Rexhep Rexhepi 6:10 MB&F 8:05 Sylvain Berneron 9:30 Omega Watches13:00 Omega Speedmaster Professional (White dial)13:30 New Speedmaster Dark Side of The Moon 15:40 Niels Eggerding interview16:20 FC Classic Perpetual Calendar 16:50 Furlan Marri Perpetual One18:00 Jaeger-LeCoultre Master Ultra Thin Perpetual Calendar18:30 Montblanc Heritage Perpetual Calendar 19:30 IWC DaVinci Perpetual Calendar Ref. 3750 (Fratello)19:40 Panerai 22:10 Swiss Watch Export Statistics 29:00 What Richemont and Swatch Financial Results Tell Us About The State of The Swiss Watch Industry35:40 Tissot PRX Powermatic 80 38 MM in Damascus Steel (Hodinkee) 35:45 Longines 35:54 Sinn Watches 

#2286 — Chileman: Deprogramming, Current News & Monoatomic GoldTime: Today, 3:00 PM ETHost: Typical Skeptic Podcast (Live)YouTube Description (short):Fan favorite Chileman returns to break down deprogramming, what's really moving in current events, and the hype vs. reality of monoatomic gold. Live chat & Q&A—bring your questions!Full Show Description (YT/Rumble/Spreaker):We're diving straight into the signal tonight with Chileman:Deprogramming 101: Practical steps to reclaim your mind from media conditioning, cult psy-ops, and belief traps.Current News Decode: What actually matters this week—and what's a distraction.Monoatomic Gold: History, claims, metaphysics, and safety concerns—what's real, what's placebo, and what to avoid.Audience Q&A: Bring your questions—readings, tactics, resources.Segments (planned):0:00 Cold open & housekeeping3:00 Chileman intro + thesis10:00 Deprogramming frameworks (awareness → pattern break → reframe → ritual)25:00 News decode (geo, tech, finance, disclosure chatter)45:00 Monoatomic gold—origins, protocols, risks1:05:00 Q&A / live callers1:25:00 Final takeaways & resourcesQuick hooks (say these up top):“If you don't program your mind, something else will.”“Today's news is tomorrow's script—let's rewrite it.”“Monoatomic gold: tool, trap, or both?”Call to Action (on air & description):If this work helps you, please support the show so we can keep it independent:PayPal: www.paypal.me/typicalskepticmediaPinned Comment (YT):Thanks for being here! Drop your questions for Chileman below. If you want to support the show: PayPal / CashApp / Venmo / Patreon links are in the description. Replays on Rumble & Spreaker after the stream.Disclaimer (use at bottom):This program is for discussion and entertainment. We do not provide medical or legal advice. Do your own research before acting on any information. Views are those of the guests/host.Hashtags (YT/IG/TikTok):#TypicalSkeptic #Chileman #Deprogramming #MindControl #MKUltra #CurrentEvents #AltMedia #Consciousness #TruthSeeker #MonoatomicGold #Ormus #Esoterica #Awakening #Ascension #SpiritualWarfare #CriticalThinking #MediaDetox #UFOtwitter #PodcastLive #QandAYouTube Tags (comma-separated):Typical Skeptic Podcast, Chileman, deprogramming, mind control, MK Ultra, media manipulation, current events analysis, monoatomic gold, ormus, occult history, conspiracy research, consciousness, awakening, esoteric, alt media, spiritual warfare, critical thinking, live podcast, Q&APayPal: www.paypal.me/typicalskepticmediaCashApp: kalil1121 Venmo: @robert-kalilBuy Me a Coffee: www.buymeacoffee.com/typicalskepticAudio Podcast on Spreaker:https://www.spreaker.com/podcast/typical-skeptic-podcast--5897400Spotify: Typical Skeptic Podcast on SpotifyApple Podcasts: Typical Skeptic Podcast on AppleAmazon Music: Typical Skeptic Podcast on Amazon

Live From Lisbon--Debate:

To celebrate the 10th anniversary of the podcast, Jeff sat down with friend of the show Audrey (from Alone At the Table) to answer YOUR listener questions... and to shit-talk the movie Twisters. Just a little.Support this podcast at — https://redcircle.com/party-of-one-podcast/donationsAdvertising Inquiries: https://redcircle.com/brands

Live from Porto: Philosophy—As a Weapon for Success With Yaron Brook, Tim Vieira, and Mário Amorim Lopes

In this special live episode of the SHE MD Podcast, Olivia Munn joins Dr. Thaïs Aliabadi, Mary Alice Haney, Dr. Shari Goldfarb, and Kristen Dahlgren, for a powerful Breast Cancer Awareness Month panel in New York City. The event coincided with NBC's Today Show coverage and the lighting of the Empire State Building in pink — marking the launch of a national conversation around early detection, AI, and prevention.Together, they explore how lifetime risk assessments, dense breast screening, and AI mammogram prediction tools like Clarity Breast are transforming breast health. The panel also discusses cancer vaccine research, genetic testing, and the importance of women knowing their individual risk scores.Listeners will hear Olivia's personal story of early detection after a high-risk score prompted further imaging, leading to her diagnosis and recovery. This episode offers clarity, action, and hope — empowering every listener to become their own health advocate and partner with their medical team.Subscribe to SHE MD Podcast for expert tips on PCOS, Endometriosis, fertility, and hormonal balance. Share with friends and visit the SHE MD website and Ovii for research-backed resources, holistic health strategies, and expert guidance on women's health and well-being.What You'll LearnHow lifetime risk assessment tools can identify breast cancer risk before symptoms appearWhy dense breast tissue requires supplemental screening beyond mammogramsHow AI predictive tools like Clarity Breast are revolutionizing early detectionThe promise of vaccine research and genetic testing in future breast cancer preventionKey Timestamps(00:00) Live event intro and Breast Cancer Awareness Month context(03:30) Olivia's story: risk score, MRI findings, and early diagnosis(13:00) Dr. Aliabadi and Dr. Goldfarb on dense breast screening and AI tools(16:00) Cancer vaccine and immunotherapy discussion with Kristen Dahlgren(27:00) Genetic testing and family history: understanding your risk(34:00) Audience Q&A: emotional recovery and advocacy(42:00) Is there support for young women being diagnosed with breast cancer?(51:30) Clarifying the term Risk AssessmentKey TakeawaysEvery woman should know her lifetime breast cancer risk scoreDense breasts may obscure cancers — MRI and ultrasound can save livesAI mammogram tools are changing detection from reactive to predictiveResearch into cancer vaccines offers hope for prevention and recurrence reductionAdvocacy and awareness remain key — early action leads to better outcomesGuest BiosOlivia MunnOlivia Munn is an actress, health advocate, and breast cancer survivor. After receiving a high lifetime risk assessment score, she underwent further imaging that revealed cancer across multiple quadrants, leading to a bilateral mastectomy. Since publicly sharing her diagnosis in 2024, she has dedicated her platform toward raising awareness about early detection, risk assessment, and empowering women with knowledge about their breast health.Dr. Shari Goldfarb, MDDr. Shari Goldfarb is a breast medical oncologist at Memorial Sloan Kettering, with a clinical focus on early and advanced breast cancer. Her research centers on survivorship, symptom management, fertility, sexual health, and quality of life for breast cancer patients. She participates in clinical trials aimed at improving outcomes for women during and after treatment.Kristen DahlgrenKristen Dahlgren is a former NBC correspondent who, after her own stage 2 breast cancer diagnosis, left journalism to found the Cancer Vaccine Coalition. She collaborates with top cancer centers to accelerate immunotherapy and vaccine development in breast cancer and advocates for preventive strategies beyond current standards.LinksOlivia Munn – https://www.instagram.com/oliviamunnDr. Shari Goldfarb – https://www.mskcc.org/profile/shari-goldfarbKristen Dahlgren – https://www.linkedin.com/in/kristen-dahlgren-886519292/Donna McKay – https://www.bcrf.org/teamResources MentionedBreast Cancer Research Foundation (BCRF) – Funding for innovative breast cancer research and prevention programs

In this special live episode of The Data Minute, recorded in San Francisco, Peter is joined by Janelle Teng from Bessemer Venture Partners for a data-driven look at the state of AI fundraising.Peter and Janelle walk through the data on everything from the AI valuation premium to the new benchmarks for growth, breaking down Bessemer's "Supernovas" and "Shooting Stars" framework. They discuss why fundraising timelines have gotten longer, how dilution remains steady despite soaring valuations, and why San Francisco is still the undisputed center of the AI boom. Plus, they take questions from an audience of AI founders on everything from calculating TAM to navigating a potential AI bubble.This is your front-row seat to the conversation every AI founder needs to hear.The State of AI 2025 - Bessemer Venture Partners:https://www.bvp.com/atlas/the-state-of-ai-2025Subscribe to Carta's weekly Data Minute newsletter: https://carta.com/subscribe/data-newsletter-sign-up/Explore interactive startup and VC data, with Carta's Data Desk: https://carta.com/data-desk/01:03 – A look back: Venture funding since 202102:35 – Pre-ChatGPT vs. Post-ChatGPT funding waves04:18 – How long should your runway be today?04:54 – "Nail it before you scale it": The philosophy of efficient growth06:15 – The new reality of Seed-to-Series-A graduation rates07:31 – Is every software company now an AI company?09:27 – The AI valuation premium at the Seed stage11:14 – AI infrastructure vs. application layer companies13:06 – Bessemer's benchmarks: "Supernovas" vs. "Shooting Stars"14:36 – Why top-line growth can be misleading17:10 – Why retention is table stakes, but gross margins can wait21:12 – The new benchmark: Revenue per employee22:48 – Advice for founders who aren't a "Supernova"26:45 – Why dilution has remained steady at ~20%30:39 – Valuation is not a badge of honor—it's a hurdle33:20 – Why the Bay Area is still the center of the AI universe35:56 – The hiring slowdown and the rise of lean teams38:51 – The soaring cost of AI/ML engineering talent40:00 – Bessemer's key takeaways on the future of AI43:13 – Audience Q&A starts43:33 – Q1: How should founders think about calculating TAM?46:44 – Q2: As a frontier tech company, how do we compete with app-layer startups?48:48 – Q3: How do we compete against incumbents who are adding native AI features?51:31 – Q4: Should VCs back fewer "good" companies to chase the "Supernovas"?55:03 – Q5: Are we in an AI bubble, and when will it pop?This presentation contains general information only and eShares, Inc. dba Carta, Inc. (“Carta”) is not, by means of this publication, rendering accounting, business, financial, investment, legal, tax, or other professional advice or services, and is for informational purposes only.  This presentation is not a substitute for such professional advice or services nor should it be used as a basis for any decision or action that may affect your business or interests. © 2025 eShares, Inc., dba Carta, Inc. All rights reserved.

In this episode, Wen Sang (Co-Founder & COO, GenSpark.ai), Christian Jester (Partner & TMT Markets Leader, PwC), and Jason Hirsch (Partner & Head of AI, Digital Platforms & Emerging Technologies Practice, Nixon Peabody) join the 10X Strategies Podcast to decode the evolving landscape of Agentic AI — what's hot, what's not. The panel explores how AI is reshaping work and productivity, how enterprises are navigating adoption at scale, and the legal and ethical implications of this rapid evolution. They discuss real-world use cases, sustainable business models, the no-moat reality of AI, and why open-source innovation might define the next phase of the AI revolution. ⸻ ⏱️ Chapters 00:00 Introduction and Guest Welcome 00:45 Meet the Panel: Wen Sang, Christian Jester, and Jason Hirsch 02:20 What's Hot in AI — New Use Cases and The Future of Work 05:00 Empowering Knowledge Workers through AI Agents 08:15 Enterprise AI Adoption and The Governance Challenge 11:20 Legal Risks and AI Whitewashing — When Hype Becomes Hazard 15:00 Differentiation in a No-Moat World — Finding Real Value 18:30 The GenSpark Story — Building AI for Knowledge Workers 21:00 Sustainable Business Models in the AI Ecosystem 25:10 Authenticity, Self-Awareness and Investor Confidence 28:30 Governance, Security and Data Integrity in Practice 31:20 What's Not Hot — Pitfalls, Liabilities and Legal Oversights 35:00 Licensing AI — Who Owns the Risk When Things Go Wrong? 38:30 Challenges for Founders — Regulation and General Counsel Gaps 41:15 Open-Source AI and The Thousand-Model Future 43:30 Audience Q&A and Closing Reflections

Two renowned theologians go head-to-head in a rigorous, respectful debate on one of the most discussed passages in Scripture—**John 1:1–18**.

00:00:00 – Intro / Server Roll Call 00:05:30 – Community Appreciation & Chat Welcome 00:09:40 – “Drippy Biddle” Meme Returns 00:13:50 – Spotting Players in the Veil / Pirate Humor 00:18:15 – Early G7 Gameplay Impressions 00:24:05 – Comparing G6 vs. G7 Experience 00:30:40 – Crewing Depth & Player Skill Discussion 00:36:25 – Officer Weaknesses & “Checkup from the Neck Up” 00:43:20 – Rediscovering Classic Crews (Kirk / Spock / Khan) 00:48:55 – Chang & Yuki Nostalgia Segment 00:50:30 – DJz's Radio Reenactment Begins 00:54:45 – “Caller #10” / Britney Giveaway Segment 00:59:25 – Laughter & Radio Station Memories 01:02:10 – Transition Back to Gameplay 01:07:35 – Specialty Ship Recap Introduction 01:11:20 – Relativity Overview & Event Utility 01:20:55 – Junker Discussion / Early Use Cases 01:29:10 – Reliant Breakdown / Midgame Relevance 01:39:25 – Squall Segment / Crewing and PvE Value 01:51:30 – Dauntless Debate / Worth the Investment? 02:04:45 – Revenant Recap / Balancing New Ship Meta 02:18:00 – State of Specialty Ships in 2025 02:30:15 – Broader Game Balance Discussion 02:42:20 – Audience Q&A and Community Shoutouts 02:50:10 – Off-Topic Fun & Chat Antics 02:58:30 – Final Thoughts on G7 and Crewing Meta 03:05:45 – Closing Remarks / Upcoming Stream Tease 03:10:15 – Outro / “Meow for now… Good night!”

Tonight was supposed to be a fun loving good ole fashioned laid back chill night on Twitch. BUT, as the conversation geared towards G7 and player expectations, we started having a great conversation, and it just HAD to be turned into a show. Shoutout to MOOPSIE for kicking us off tonight on what turned out to be an AMAZING conversation about G7's first week.  here are your timestamps:  00:00:00 – Opening chatter and unexpected “interloper” joins 00:03:00 – Moopsie returns, teasing a new “Downfall” parody video about G7 00:06:00 – Breaking down launch bugs, errors, and frustrations from players 00:08:45 – Discussion of paywalls and time-gating in the G7 expansion 00:12:00 – DJz and Griffin counter with positive experiences from their alliances 00:15:30 – Arguments over Scopely's pacing – slow by design or poor delivery? 00:18:00 – Moopsie details his “broken miner” issue in the Veil and Scopely's silence 00:21:30 – Server-sync bug explanations and talk of compensation for affected players 00:25:00 – DJz acknowledges communication failures but defends overall design intent 00:27:45 – Day-eight perspective – reminding players G7 is still new content 00:31:00 – Conversation shifts philosophical – how much patience should players have? 00:33:30 – “Camping chair” analogy – DJz explains his philosophy on value and spending 00:36:30 – Chat debate on refunds, spending habits, and game enjoyment 00:39:30 – Griffin compares Scopely criticism to consumer protest culture 00:42:00 – Community frustration vs. personal enjoyment – finding the balance 00:45:00 – Transition to listener participation and open-mic discussions 00:47:00 – K9 joins the show (Ops 72) to voice G7 concerns from a whale's view 00:49:00 – Forced collaboration complaint – Veil and Surge systems under fire 00:53:00 – DJz questions how this differs from earlier generations' content 00:56:00 – K9 explains the problem of investment scale and reset fatigue 00:59:00 – High-cost progression to 73+ – too steep for meaningful advancement 01:02:30 – Debate on “slow by design” – whether G6 feedback caused the shift 01:06:00 – Player isolation vs. forced teamwork – balancing design philosophies 01:10:00 – Hazards vs. Veil – comparing past solo mechanics to new alliance ones 01:14:00 – Arguments over accessibility and alternate progression paths 01:18:00 – Acknowledging Scopely's challenge – serving five generations of players 01:22:00 – Finding middle ground – Veil as both opportunity and limitation 01:26:00 – DJz reinforces Talking Trek's open-platform approach to criticism 01:30:00 – Audience Q&A – who actually enjoys G7 so far? 01:33:00 – Positive reports from chat – players share early success stories 01:37:00 – Discussion about whales, catch-up mechanics, and compressed content 01:41:00 – Frustration over required alliance activity and dependency 01:45:00 – Hazards, surges, and solo play revisited – the ongoing debate 01:49:00 – DJz mediates closing thoughts – fun, freedom, and fair design 01:54:00 – Wrap-up, post-show Discord invite, and lighthearted closing banter

Promo Package – Typical Skeptic Podcast Episode Title: TSP #2217 – Psychic Liz Cross: Live Readings, Remote Viewing & Mind Probes Time: 6 PM Eastern Guest Bio / Intro: Liz Cross is a world-renowned psychic medium, remote viewer, and consciousness transformation expert. She is the creator of CTT – Consciousness Transformation Technique, a powerful method for healing, empowerment, and personal evolution. Liz is celebrated for her highly accurate psychic insights and her ability to tap into deeper layers of consciousness through remote viewing and mind probes. Beyond her intuitive gifts, she is a spiritual teacher dedicated to helping others unlock their own psychic potential and live with greater clarity. A returning guest and fan favorite on the Typical Skeptic Podcast, Liz has been featured across podcasts, YouTube, and social platforms where she shares her guidance on the paranormal, psychic development, and the hidden layers of reality. Episode Description: Returning guest Liz Cross joins Robert Kalil for an electrifying evening of live psychic readings, remote viewing, audience Q&A, and mind probes. Known for her precision and authenticity, Liz will be taking audience questions live and diving deep into consciousness work using her CTT method. Don't miss this chance to experience Liz's gifts firsthand and be part of the interactive energy of the show. Hashtags: #LizCross #PsychicReadings #RemoteViewing #MindProbes #CTT #ConsciousnessTransformation #PsychicDevelopment #LiveQnA #AudienceReadings #TypicalSkepticPodcast Tags (YouTube/Meta): Liz Cross, Psychic Readings, Remote Viewing, Consciousness Transformation Technique, Mind Probes, Paranormal, Spiritual Awakening, Psychic Development, Audience Q&A, Typical Skeptic Podcast, Robert Kalil Disclaimer: ⚠️ The views and opinions expressed on the Typical Skeptic Podcast are those of the guests and do not necessarily reflect those of the host or platform. This content is for entertainment and informational purposes only.

In this powerful keynote edition of Impact Theory, Tom Bilyeu sets the stage for a radical conversation on the difference between positive thinking and real empowerment. As tech innovation accelerates and artificial intelligence transforms every corner of our lives, Tom challenges creators, entrepreneurs, and dreamers to confront uncomfortable truths: wishing for the best is not enough when disruption is at the door. This episode is a wake-up call for content creators as Tom unpacks the existential threat—and unparalleled opportunities—emerging in the wake of the AI revolution. Join Tom as he explores why mindset must be paired with hardcore skill acquisition and why traditional “moats” in content creation are rapidly vanishing. He explains how AI-generated content, evolving algorithms, and infinite virtual experiences are poised to permanently alter the landscape—and what you can do to adapt and evolve. 00:00 The Empowerment vs. Positive Thinking Paradigm02:03 Facing the Abyss of AI Disruption04:59 Demonstration: “Redneck Harry Potter” and the Power of AI Creations06:59 The Two-Year Warning for Content Creators08:04 Building “Moats” and the End of Competitive Advantage09:53 Algorithm as Content: How Personalization Will Change Everything11:43 Hyperfragmentation, Isolation, and the Social Impact of AI13:16 Societal Splits: The Tech-Embracing vs. Amish Analogy14:31 Human Resilience & Reversion to the Mean 16:56 The Fermi Paradox, Virtual Worlds, and the Limits of Exploration18:42 AI at Scale: The Rise of “U Bots” and Personalized Connections21:57 1,000 True Fans: Focusing on Depth over Breadth23:13 Intellectual Property as a Creative Container23:35 Community, Algorithm, and Ecosystem: Redefining Your Role25:29 Treating AI as a Tool—Why Action Beats Fear26:02 Achieving Scale with Tech: Translations, Clips, and Efficiency26:39 Overcoming Dread: Actionable Steps and the “Physics of Progress”28:07 Embrace or Detach: Choosing Your Path Forward29:35 Project Kaizen: Building the Next Generation of Interactive Worlds32:12 AI as Invitation—The Ultimate Empowerment for Creators33:09 Audience Q&A: The Future of Platforms and Content Creation35:01 The Physics of Progress: Tom's 6-Step Action Loop Learn more about your ad choices. Visit megaphone.fm/adchoices

TSP #2200 — Mary Beaver (Adonna of Sol) Time: Today, 5:00 PM Eastern Guest site: adonnaofsol.us (Adonna of Sol) YouTube/Rumble description (paste-ready) Episode #2200 | Live at 5 PM ET Tonight, Rob welcomes Mary Beaver (Adonna of Sol) to explore her family's claimed royal lineage—stretching from Egypt's earliest rulers (Shendjw, Iry-Hor, Ka, Narmer) through Old Kingdom pharaohs (Djoser, Sneferu, Khufu, Khafre), into later dynasties, and then, via Queen Scota, into the High Kings of Ireland & Scotland—culminating in medieval Scotland and early Anglo-American lines. We'll unpack sources, legend vs. history, and how such lineages might be tested today (genetic genealogy, onomastics, documentary chains), plus the esoteric side of bloodlines. We'll also touch on Mary's background and research platform Adonna of Sol, where she speaks on deprogramming, time, and hidden histories Guest links: adonnaofsol.us Chapters 00:00 Intro & disclaimers 05:00 What is the Shemsu-Hor? 15:00 First Dynasty rulers & unification 30:00 Old Kingdom peaks (Djoser–Khufu) 45:00 Scota & Gaythelos: legend or lineage? 1:10:00 High Kings timeline & Scotland bridge 1:30:00 Testing claims: docs, DNA, methods 1:50:00 Audience Q&A Run-of-show / talk beats What the Shemsu-Hor are said to be; where that term shows up in academic vs. esoteric contexts. Early dynastic rulers (Shendjw/Iry-Hor/Ka/Narmer) and unification claims. Old Kingdom highlights (Djoser's Step Pyramid; Sneferu's building spree; Khufu/Khafre). Transmission into Celtic realms via Scota & Gaythelos traditions; medieval sources that circulate this narrative. Scotland bridge (Dunkeld line; Malcolm III, David I, etc.) and the later Washington/Wessington links claimed in some trees. Verification toolkit: documentary chains, surname/place-name continuity, yDNA/mtDNA/auDNA limits, NPEs, endogamy. Esoteric angle: why bloodlines matter to mystery traditions; myth vs. memetics. Audience Q&A. Hashtags #TypicalSkeptic #MaryBeaver #AdonnaOfSol #ShemsuHor #Egyptology #OldKingdom #QueenScota #HighKings #CelticHistory #HiddenHistory #Bloodlines #Genealogy #AncientEgypt #Pharaohs YouTube tags (comma-separated) Mary Beaver, Adonna of Sol, Shemsu-Hor, Narmer, Djoser, Sneferu, Khufu, Khafre, Queen Scota, Gaythelos, High Kings of Ireland, House of Dunkeld, Malcolm III, David I, Washington lineage, Egyptian genealogy, Celtic dynasties, ancient DNA, genealogy methods, deprogramming, hidden history

Welcome back to Fantasy Focus! On today's show, Daniel Dopp, Stephania Bell, Field Yates, Liz Loza, and Mike Clay bring you all the action from Baha Mar in Nassau, Bahamas for the Ultimate Draft Weekend! 0:32 - Draft Day Do's & Don'ts you need to know 10:08 - Audience Q&A from the Bahamas 34:28 - Must Draft Players for the 2025 season Learn more about your ad choices. Visit podcastchoices.com/adchoices

Dominate C. diff! Learn to distinguish colonization from infection, select first-line therapies, and counsel patients on recurrence prevention and microbiome recovery. We're joined by IDSA past president and expert on foodborne and intestinal infections, Dr. Cindy Sears (Johns Hopkins University) for a comprehensive update on Clostridioides difficile (C. diff, Cdiff, CDAD, CDI). Claim CME for this episode at curbsiders.vcuhealth.org! Patreon | Episodes | Subscribe | Spotify | YouTube | Newsletter | Contact | Swag! | CME Show Segments 00:00 Intro 03:00 Guest bio and hobby 04:25 Case of Charles Fleur Fontaine 06:00 Risk factors and epidemiology 08:00 Antibiotic hierarchy of risk 10:00 Diagnosis, testing strategies 14:00 Defining severity 17:30 Treatment options 20:00 Microbiome recovery strategies 24:00 Probiotics and postbiotics 27:00 Infection control counseling 30:00 C. diff and colon cancer 32:00 Recurrent C. diff strategies 35:00 Why some FMT and bezlotoxumab were discontinued 38:00 Microbiota replacement therapies 43:00 Prophylaxis strategies 45:00 Future therapies and ongoing research 47:00 Audience Q&A 52:00 Outro Credits Written and Produced by: Matthew Watto, MD, FACP  Cover Art and Infographic by: Hosts: Matthew Watto MD, FACP; Paul Williams MD, FACP    Reviewer: Sai S Achi MD,MBA,FACP Showrunners: Matthew Watto MD, FACP; Paul Williams MD, FACP Technical Production: PodPaste Guest: Cynthia Sears MD Disclosures Dr. Sears reports no relevant financial disclosures. Dr. Williams financial relationships disclosed include a Merck grant or research support. This relationship has not ended. Sponsor: Mint Mobile  This year, skip breaking a sweat AND breaking the bank. Get this new customer offer and your 3-month Unlimited wireless plan for just 15 bucks a month at mintmobile.com/CURB  Sponsor: Panacea Financial Let Panacea Financial take the financial stress off your plate,so you can get back to doing what matters most. Visit panaceafinancial.com  Sponsor: FIGS Get15% off your first order at wearfigs.com with the code FIGSRX