Podcasts about transitioning

We kick things off in FOLLOW UP with the ongoing "nuclear war" between Automattic and WP Engine, where discovery has revealed Matt Mullenweg's alleged hit list of competitors and a desperate attempt to bully payment processors—because nothing says "open source" like an eight-percent royalty shakedown. Meanwhile, the Harvard Business Review confirmed what we already knew: AI isn't reducing our work; it's just compressing it until we're all working through lunch and burning out faster while Polymarket turns our collective brain rot into a literal "attention market" where you can bet on Elon's mindshare.Transitioning to IN THE NEWS, Elon has officially pivoted SpaceX from Mars to the Moon, presumably because building a "self-growing lunar city" is easier than admitting the Red Planet is hard, though his xAI all-hands rant about "ancient alien catapults" suggests he's been staring at the sun too long. Between X allegedly taking blue-check lunch money from sanctioned Iranian leaders, Meta facing trials for creating "predator-friendly hunting grounds," and Russia finally pulling the plug on WhatsApp, the internet is looking more like a digital dumpster fire than ever. Add in Discord leaking 70,000 government IDs, OpenAI shoving ads into ChatGPT while safety researchers flee the building like it's on fire, and a "cognitive debt" crisis eroding our ability to think, and you've got a recipe for a tech-induced psychosis that even crypto-funded human trafficking can't outpace.In MEDIA CANDY, we're wondering about the soft-core porn intro in the latest Star Trek: Starfleet Academy while Apple buys the total rights to Severance for seventy million dollars—because in-house production is the only way to keep those ballooning budgets under control. Super Bowl trailer season gave us a glimpse of The Mandalorian and Grogu and a Project Hail Mary teaser, while Babylon 5 has finally landed on YouTube for free, proving that even 90s serialized sci-fi eventually finds its way to the clearance bin.Over in APPS & DOODADS, Meta Quest is nagging us for our birthdays like a needy relative, while Roblox had to scrub a mass-shooting simulator—because "AI plus human safety teams" is apparently just code for "we missed it until it hit the forums." Ring's Super Bowl ad for "Search Party" accidentally terrified everyone by revealing a mass surveillance network for pets that's a slippery slope toward a police state, and Waymo is now paying DoorDashers ten bucks just to walk over and close the car doors that autonomous tech still can't figure out.Wrapping up with THE DARK SIDE WITH DAVE, we dive into the Mandalorian Hasbro reveal where Sigourney Weaver's action figure comes with no accessories because her existence is enough of a flex. We explore the grim reality of "RentAHuman," where humans are paid pittance to pretend AI agents are actually doing work, and look at "Trash Talk Audio," which sells a $125 microphone made out of a literal old telephone for that authentic Gen-X "get off the line, I'm expecting a call" aesthetic. From Marcia Lucas finally venting about the prequels and a rare book catalog specifically for our aging generation, we're reminded that while the future is a chaotic mess of "GeoSpy" AI and corporate reshuffling at Disney, at least we still have our cynical memories and some free versions of Roller Coaster Tycoon to keep us from losing it completely.Sponsors:CleanMyMac - Get Tidy Today! Try 7 days free and use code OLDGEEKS for 20% off at clnmy.com/OLDGEEKSDeleteMe - Get 20% off your DeleteMe plan when you go to JoinDeleteMe.com/GOG and use promo code GOG at checkout.Private Internet Access - Go to GOG.Show/vpn and sign up today. For a limited time only, you can get OUR favorite VPN for as little as $2.03 a month.SetApp - With a single monthly subscription you get 240+ apps for your Mac. Go to SetApp and get started today!!!1Password - Get a great deal on the only password manager recommended by Grumpy Old Geeks! gog.show/1passwordShow notes at https://gog.show/733FOLLOW UPAutomattic planned to target 10 competitors with royalty fees, WP Engine claims in new filingAI Doesn't Reduce Work—It Intensifies ItPolymarket To Offer Attention Markets In Partnership With Kaito AIIsrael Arrests Members of Military for Placing Polymarket Bets Using Inside Information on Upcoming StrikesIN THE NEWSUnable to Reach Mars, Musk Does the Most Musk Thing PossibleWe'll Find the Remnants of Ancient Alien Civilizations': Read Musk's Gibberish Rant from His xAI All-Hands MeetingElon Musk's X Appears to Be Violating US Sanctions by Selling Premium Accounts to Iranian LeadersMeta Faces Two Key Trials That Could Change Social Media ForeverWhatsApp is now fully blocked in RussiaRussia is restricting access to Telegram, one of its most popular social media apps. Here's what we knowDOJ may face investigation for pressuring Apple, Google to remove apps for tracking ICE agentsDiscord Launches Teen-by-Default Settings GloballyDiscord says hackers stole government IDs of 70,000 usersFree Tool Says it Can Bypass Discord's Age Verification Check With a 3D ModelTesting ads in ChatGPTOpenAI Researcher Quits, Warns Its Unprecedented ‘Archive of Human Candor' Is DangerousOpenAI Fires Top Safety Exec Who Opposed ChatGPT's “Adult Mode”Anthropic AI Safety Researcher Warns Of World ‘In Peril' In ResignationMusk's xAI loses second co-founder in two daysAmerica Isn't Ready for What AI Will Do to JobsMonologue: No, Something Big Isn't ComingThe Scientist Who Predicted AI Psychosis Has a Grim Forecast of What's Going to Happen NextCrypto-Funded Human Trafficking Is ExplodingMEDIA CANDYShrinkingStar Trek: Starfleet AcademyPoor ThingsProject Hail Mary | Final TrailerMinions & Monsters | Official TrailerDisclosure Day | Big Game SpotThe Mandalorian and Grogu | A New Journey Begins | In Theaters May 22Babylon 5 Is Now Free to Watch On YouTubeApple acquires all rights to ‘Severance,' will produce future seasons in-houseOptimizing your TVAPPS & DOODADSTumbler Ridge Shooter Created Mall Shooting Simulator in RobloxHere's how to disable Ring's creepy Search Party featureWaymo Is Getting DoorDashers to Close Doors on Self Driving CarsTikTok US launches a local feed that leverages a user's exact locationApple just released iOS 26.3 alongside updates for the Mac, iPad and Apple WatchTHE DARK SIDE WITH DAVEDave BittnerThe CyberWireHacking HumansCaveatControl LoopOnly Malware in the BuildingWe Call It ImagineeringYour First Look at Hasbro's 'Mandalorian and Grogu' Figures Is Here (Exclusive)I Tried RentAHuman, Where AI Agents Hired Me to Hype Their AI StartupsTrash Talk AudioRoger Reacts to Star Wars - A New HopeMarcia Lucas Finally Speaks Out | Icons Unearthed: Unplugged (FULL INTERVIEW)What's wrong with the prequels?Rare Books, Gen X editionGeoSpyCLOSING SHOUT-OUTSRobert Tinney, who painted iconic Byte magazine covers, RIPBud CortSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode of the Planet MicroCap Podcast, I spoke with Ryan Telford, Head of Evidence-Based Research at MicroCapClub, where he breaks down why headline profitability and earnings beats can be misleading, and how investors should instead focus on quality of earnings—cash flow support, reinvestment discipline, and earnings stability—along with dilution risk as the true predictors of performance. We discuss the data showing how high-quality earners significantly outperform low-quality peers globally, why many profitable microcaps still underperform after strong quarters, and how looming equity raises can act as a hidden “tax” on shareholder returns. We mention a number of companies and sectors during this conversation, and I'm not a shareholder in any of them. Chapters: 00:00 Introduction to Microcap Investing and Research 03:46 Understanding Quality of Earnings in Microcaps 08:49 The Quality of Earnings Scorecard Explained 13:43 Analyzing Low vs. High Quality Earnings 18:34 Modernizing the Quality of Earnings Framework 23:38 Transitioning to Dilution Risk in Microcaps 27:39 Market Reactions and Equity-Debt Ratios 31:02 Dilution Trends in Micro Caps 32:14 Understanding Dilution Risk Scorecard 38:09 Correlation Between Earnings Quality and Dilution Risk 46:40 Returns Based on Dilution Risk 50:23 Indicators of Potential Dilution Risk For more information about MicroCapClub, please visit: https://microcapclub.com/ Planet Microcap hosts the highest quality in-person microcap events in North America. The mission is to bring the best microcap investors, companies, and allocators together to gather, connect, and grow.; visit https://planetmicrocap.com/ to learn more about our Las Vegas and Toronto events. The purpose of this conversation is for informational and educational purposes only and should not be construed as a recommendation to purchase or sell any security. Planet MicroCap Holdings LLC and MicroCapClub LLC are not registered investment advisors. Planet MicroCap Holdings LLC, MicroCapClub LLC, its partners, contractors, members, subscribers, guests, and affiliates may or may not hold positions in one or more of the securities mentioned on this program and may trade in such securities at any time. Do your own due diligence and seek counsel from a registered investment advisor before trading in any security.

WEBINAR LINK:https://shawnmoore.clickfunnels.com/optiniyvvg89sWant to learn more about Vodyssey or start your STR journey. Book a call here:https://meetings.hubspot.com/vodysseystrategysession/booknow?utm_source=vodysseycom&uuid=80fb7859-b8f4-40d1-a31d-15a5caa687b7PROPERTY:https://www.airbnb.com/rooms/1580750884841571778?viralityEntryPoint=1&s=76FOLLOW US:https://www.facebook.com/share/g/16XJMvMbVo/https://www.instagram.com/vodysseyshawnmoorehttps://www.facebook.com/vodysseyshawnmoore/https://www.linkedin.com/company/str-financial-freedomhttps://www.tiktok.com/@vodysseyshawnmooreCONTACT US:support@vodyssey.comChapters00:00:00 Intro00:01:09 Jesse's Journey into Hospitality and Real Estate00:03:05 Transitioning to Short-Term Rentals00:07:15 The Importance of Experience in Rentals00:10:11 Finding the Right Property00:12:06 Budgeting for Immersive Experiences00:13:06 Navigating Challenges in Property Acquisition00:19:38 Overview of the New Hampshire Market00:20:57 Launching the Property00:23:04 Creating a Unique Experience00:25:05 Target Audience and Marketing Strategy00:28:35 Design and Immersive Experience Plans00:31:06 Community Engagement and Support00:34:51 Lessons Learned and Future Plans

Sarah Wayne Callies sits down to talk about her childhood, her path into acting, and what led to her being cast as Dr. Sara Tancredi on Prison Break. She opens up about the sudden fame that came with the show, how she prepared for the role by visiting real prisons, and how filming Prison Break permanently changed her perspective on incarceration and the criminal justice system. Sarah also shares behind-the-scenes stories from set, the emotional weight of playing a character inside prison walls, and how that experience later influenced her work, including being cast on The Walking Dead. _____________________________________________ #SarahWayneCallies #PrisonBreak #SaraTancredi #TVInterviews #BehindTheScenes #HollywoodStories #ActingCareer #youtubepodcast _____________________________________________ Connect with Sarah Wayne Callies: Instagram: https://www.instagram.com/sarahwaynecallies/?hl=en Podcast: https://www.youtube.com/channel/UCi6Syro1Uk5qZ-mf_q4v6lQ _____________________________________________ Hosted, Executive Produced & Edited By Ian Bick: https://www.instagram.com/ian_bick/?hl=en https://ianbick.com/ Shop Locked In Merch: http://www.ianbick.com/shop _____________________________________________ Timestamps: 00:00 Filming Prison Break Inside a Real Prison 01:00 Career Growth, Podcasting & Season 3 Absence 03:50 Fan Reactions and Returning to Prison Break 05:30 On-Screen Chemistry and Cast Behind-the-Scenes Stories 07:20 Growing Up in Hawaii and Cultural Identity 10:30 Storytelling, Inspiration, and Gender Perspectives 14:00 College Dreams and Discovering the Power of Story 17:00 Theater, Family Influence, and Why Stories Matter 21:30 Dartmouth College, Culture Shock, and Life Lessons 25:00 Marriage, Early Career, and Connecting With Fans 28:00 Watching TV in Prison and Prison Break Reactions 33:00 Expectations vs Reality of Prison Life 36:00 Rehabilitation, Humanity, and the Impact of Incarceration 40:00 Private Prisons, For-Profit Systems, and Policy Shifts 44:00 Prison Camps, Fire Programs, and Second Chances 47:00 Reentry, Halfway Houses, and Breaking the Cycle 52:00 Finding Work After Prison and Systemic Barriers 55:00 Public Perception, Compassion, and Moral Complexity 01:01:00 Visiting a Real Prison and Humanizing Incarceration 01:10:00 Casting Stories and Sara Tancredi's Evolution 01:18:00 Fandom, Privacy, and Life in the Spotlight 01:23:00 Fame, Pressure, and Public Scrutiny 01:30:00 Acting Challenges and Favorite Prison Break Moments 01:36:00 Transitioning to The Walking Dead and Set Culture 01:44:00 COVID, Resetting Priorities, and Family Focus 01:48:00 Reflection, Accountability, and Making Amends 01:55:00 Giving Back, Extreme Empathy, and Advocacy 01:58:00 Hospice Work, Prison Reform, and Ongoing Mission 02:00:00 Final Reflections and Gratitude Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode, Matt Watson interviews Matt Haycox, an experienced entrepreneur who shares insights from his 25 years in business, focusing on capital raising, the challenges of entering the tech space as a non-technical leader, and the impact of AI on business development. Haycox discusses his journey from traditional businesses to tech ventures, emphasizing the importance of understanding both technical and commercial aspects of business. He also highlights the value of learning from mistakes and building trust within teams.Chapters00:00 Introduction to Matt Haycox02:52 Matt's Entrepreneurial Journey05:46 Transitioning into Tech and SaaS09:00 The Role of AI in Business Development11:55 Understanding the Micro-SaaS Landscape15:08 The Importance of a Good CTO18:03 Learning from Mistakes in Business21:05 Conclusion and ResourcesLinks & ResourcesConnect with Matt Haycox on LinkedInWhat Smart CTOs Are Doing Differently With Offshore Teams in 2025Subscribe to the Global Talent SprintFull Scale – Build your dev team quickly and affordablyIf you're trying to get your team out of the basement and into real product ownership, this episode is your playbook. Stop being a ticket factory. Build teams that think, create, and lead.Follow the show, rate it, and send this to someone who's still trying to do “real Scrum.” They need it more than you do.

In this episode of the Gladden Longevity Podcast, Dr. Jeffrey Gladden speaks with Dr. Anthony Beck about the evolving landscape of functional medicine and the importance of personalized health approaches. They discuss the challenges patients face in navigating conflicting health information, the significance of integrating multiple health assessments, and the role of genetics in understanding individual health. Dr. Beck emphasizes the need for collaboration among healthcare providers and the empowerment of patients in their health journeys, advocating for a comprehensive and individualized approach to wellness.    For Audience ·       Use code 'Podcast10' to get 10% OFF on any of our supplements at https://gladdenlongevityshop.com/ !    Takeaways ·       Dr. Beck emphasizes the importance of a comprehensive approach to health. ·       Personal experiences often shape a practitioner's journey in medicine. ·       Functional medicine is evolving and adapting to new challenges. ·       Patients often face conflicting information in the health space. ·       Understanding personal health data is crucial for effective treatment. ·       Integrating multiple health assessments provides a clearer picture. ·       Genetics play a role, but they don't dictate health outcomes. ·       Social media can complicate health information and trends. ·       Collaboration among healthcare providers enhances patient care. ·       Empowering patients to take charge of their health is essential.   Chapters 00:00 Introduction to Longevity and Education 03:38 Personal Journey and Background of Dr. Beck 07:49 Transitioning to Functional Medicine 10:54 Navigating the Information Overload 14:35 The Importance of Individualized Medicine 18:22 Creating a Comprehensive Testing Framework 21:10 Understanding Genetic Testing and Personalized Medicine 24:14 The Importance of Foundational Health Data 27:10 Navigating the Longevity Space: Myths and Realities 31:19 The Complexity of Health: Beyond Simple Solutions 33:54 The Role of Collaboration in Patient Care 37:51 Empowering Patients: Taking Control of Health Decisions   To learn more about Dr. Anthony Beck: Email:  dragb@dranthonygbeck.com Website: balanceprotocol.com Instagram: @balanceprotocol Facebook: @balanceprotocol   Reach out to us at:    Website: https://gladdenlongevity.com/     Facebook: https://www.facebook.com/Gladdenlongevity/    Instagram: https://www.instagram.com/gladdenlongevity/?hl=en     LinkedIn: https://www.linkedin.com/company/gladdenlongevity    YouTube: https://www.youtube.com/channel/UC5_q8nexY4K5ilgFnKm7naw       Gladden Longevity Podcast Disclosures Production & Independence The Gladden Longevity Podcast and Age Hackers are produced by Gladden Longevity Podcast, which operates independently from Dr. Jeffrey Gladden's clinical practice and research at Gladden Longevity in Irving, Texas. Dr. Gladden may serve as a founder, advisor, or investor in select health, wellness, or longevity-related ventures. These may occasionally be referenced in podcast discussions when relevant to educational topics. Any such mentions are for informational purposes only and do not constitute endorsements. Medical Disclaimer The Gladden Longevity Podcast is intended for educational and informational purposes only. It does not constitute the practice of medicine, nursing, or other professional healthcare services — including the giving of medical advice — and no doctor–patient relationship is formed through this podcast or its associated content. The information shared on this podcast, including opinions, research discussions, and referenced materials, is not intended to replace or serve as a substitute for professional medical advice, diagnosis, or treatment. Listeners should not disregard or delay seeking medical advice for any condition they may have. Always seek the guidance of a qualified healthcare professional regarding any questions or concerns about your health, medical conditions, or treatment options. Use of information from this podcast and any linked materials is at the listener's own risk. Podcast Guest Disclosures Guests on the Gladden Longevity Podcast may hold financial interests, advisory roles, or ownership stakes in companies, products, or services discussed during their appearance. The views expressed by guests are their own and do not necessarily reflect the opinions or positions of Gladden Longevity, Dr. Jeffrey Gladden, or the production team. Sponsorships & Affiliate Disclosures To support the creation of high-quality educational content, the Gladden Longevity Podcast may include paid sponsorships or affiliate partnerships. Any such partnerships will be clearly identified during episodes or noted in the accompanying show notes. We may receive compensation through affiliate links or sponsorship agreements when products or services are mentioned on the show. However, these partnerships do not influence the opinions, recommendations, or clinical integrity of the information presented. Additional Note on Content Integrity All content is carefully curated to align with our mission of promoting science-based, ethical, and responsible approaches to health, wellness, and longevity. We strive to maintain the highest standards of transparency and educational value in all our communications.

In this episode of Remodelers On The Rise, Kyle sits down with Blair Roedel of BEC Innovations to talk about growing a remodeling business.   Blair shares how she went from launching a handyman company during COVID to eventually building it into a full remodeling business. They unpack what it's been like to separate the handyman side from the remodeling side, why that shift matters, and what she's learning along the way. ----- The Remodelers VIP Club is designed to help you strengthen the 6 Main Systems of your remodeling business in a step-by-step way through our Remodelers Roadmap. You'll have access to a treasure trove of short pre-recorded training to help you immediately address the weak points of your business. Learn more and sign-up here! ----- Explore the vast array of tools, training courses, a podcast, and a supportive community of over 2,000 remodelers. Visit RemodelersOnTheRise.com today and take your remodeling business to new heights! ----- Takeaways The transition from handyman services to full remodeling requires a shift in mindset. Understanding the client journey is crucial for improving sales and service delivery. KPIs should focus on both lagging and leading indicators to drive business growth. Networking and building relationships are essential for securing larger projects. Charging for design development legitimizes the process and improves client commitment. A personalized client experience can enhance trust and satisfaction. It's important to allow team members to take ownership of their roles. Business growth requires a focus on foundational processes and financial stability. Regularly reviewing and refining KPIs can lead to better business outcomes. Embracing change and being open to new strategies is key to success. ----- Chapters 00:00 Introduction and Background 06:40 Transitioning from Handyman to Remodeling 12:39 Rebranding and Business Strategy 18:46 Client Journey and Design Development 24:36 Key Performance Indicators (KPIs) 26:52 Coffee Preferences and Personal Insights 28:49 Networking Strategies for Business Growth 30:33 Key Performance Indicators (KPIs) for Success 32:42 Excitement and Challenges in Business 34:47 Financial Foundations and Business Processes 38:42 Recognizing Team Contributions and Personal Growth 40:39 Takeaways and Reflections on Business Practices

In this episode of the Female Athlete Nutrition Podcast, host Lindsey Elizabeth Cortes discusses the complexities of nutrition, especially for female athletes, and the high expectations placed on them. Special guest Jess Cerra, Vice President of Product and Community Development at Elite Active Nutrition, shares her journey from an elite athlete to an entrepreneur in the sports nutrition industry. They dive deep into the importance of electrolytes, how sweat testing can help optimize hydration and balance, and the innovative products offered by Salt Stick. They also touch on Jess's personal athletic achievements and provide practical advice on managing nutrition and hydration for optimal performance. Episode Highlights: 01:22 The Impact of Menstrual Health on Female Athletes 03:01 Meet Our Guest: Jess Cerra 04:58 Jess Cerra's Athletic Journey and Education 09:43 Challenges and Triumphs in Professional Cycling 11:57 The Role of Mentorship in Sports 14:38 Transitioning to a Career in Sports Nutrition 16:03 Introduction to Elite Active Nutrition 21:35 The Importance of Electrolytes for Athletes 30:22 Recognizing Signs of Heat Stroke and Dehydration 31:03 Importance of Electrolytes in Recovery 31:43 Understanding Relative Energy Deficiency in Sport (REDS) 32:23 Resources for Managing REDS 34:12 Practical Tips for Sweat Testing 36:06 Electrolyte Needs for Endurance Athletes 38:25 Debunking Myths About Electrolytes 39:09 Choosing the Right Electrolyte Products 41:52 Sweat Testing Methods and Tools 48:33 Electrolyte Needs for Different Athletes 56:40 Final Thoughts and Resources Cerra's athletic journey began with triathlons, where she quickly excelled, becoming the XTERRA amateur national champion in 2011 and ranking sixth in the professional women's division by 2011. Transitioning to professional road cycling in 2015, she competed for UCI Continental teams including Twenty16 (now Twenty24) and Hagens Berman–Supermint. Her notable achievements include winning the sprint classification and Stage 4 at the 2018 Redlands Bicycle Classic. Beyond her athletic pursuits, Cerra is the founder of JoJé Bar, a gluten-free, real-food energy bar designed for endurance athletes, which became part of the Alete Active Nutrition portfolio in 2021. She also co-founded The Last Best Ride, a gravel cycling event in her hometown of Whitefish, Montana, which allocates its proceeds to scholarships for women pursuing post-secondary education. Resources and Links: Follow Jess on Instagram: https://www.instagram.com/jesscerra/?hl=en Follow SaltStick on Instagram: https://www.instagram.com/saltstick/?hl=en For more information about the show, head to work with Lindsey on improving your nutrition, head to: http://www.lindseycortes.com/ Join REDS Recovery Membership: http://www.lindseycortes.com/reds WaveBye Supplements – Menstrual cycle support code LindseyCortes for 15% off: http://wavebye.co Previnex Supplements – Joint Health Plus, Muscle Health Plus, plant-based protein, probiotics, and more; code CORTES15 for 15% off: previnex.com Female Athlete Nutrition Podcast Archive & Search Tool – Search by sport, condition, or topic: lindseycortes.com/podcast Female Athlete Nutrition Community – YouTube, Instagram @‌femaleathletenutrition, and private Facebook group Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Sabine Kvenberg, a storyteller and author, shares her journey from being an actress and director to becoming a successful author. She discusses her memoir 'GAMPTION', the importance of storytelling, and the mindset required for success. Sabine emphasizes the significance of taking bold moves, applying knowledge, and the invisible work that leads to visible success. She also invites listeners to join her journey and learn how to effectively share their own messages. Become part of the journey: https://www.sabinekvenberg.com/gumption-the-journey  Pre-order book and resources: https://www.sabinekvenberg.com/resources   Takeaways Sabine Kvenberg is known as the storytelling dame from Germany. Storytelling is a powerful tool for learning and entertainment. GAMPTION is a memoir about sacred whispers and bold moves. Success is 20% talent and 80% mindset and planning. The journey to becoming an author can start with a simple desire to share knowledge. Invisible stage work is essential for success in any field. Mindset and attitude are crucial for achieving goals. Everyone has the potential to stand out and share their unique message. Knowledge must be applied to be effective. GAMPTION is about discovering and nurturing the courage within. Chapters 00:00 Introduction to Sabine Kvenberg and Her Journey 02:05 Exploring 'Gamchen': The Memoir and Its Themes 05:12 The Path to Becoming an Author 07:23 Mindset and Attitude in Success 08:53 The Invisible Stage Work 08:53 Defining Moments and Career Changes 12:01 The Power of Asking Questions 14:17 Building a Career in the Entertainment Industry 17:18 Transitioning to Coaching and Helping Others 20:09 Invitation to Join the Journey 23:02 Conclusion and Future Engagements

Join host Talia Mashiach for an inspiring conversation with Jamie Geller, Chief Communications Officer and Global Spokesperson at Aish, as she shares her remarkable journey from Hollywood producer to cookbook author to nonprofit leader. Episode Highlights: [00:00] Introduction - Jamie's recognition and impact across different communities [00:19] Early career dreams and the path to broadcast journalism at NYU [07:40] Landing at CNN through networking and becoming an intern manager [09:44] Graduating Phi Beta Kappa in 3 years while working almost full-time [10:00] The importance of work ethic, confidence vs. arrogance, and hiring for culture fit [15:16] Core values and the "I GROW" acronym at Aish [22:50] Discovering observant Judaism and the life-changing decision to keep Shabbat [24:21] Walking away from CNN and the "good luck finding another job" moment [31:26] Navigating Hollywood as a religious woman at HBO [37:00] The partnership model - balancing career and traditional home roles [43:50] Missing the bat mitzvah play for a White House meeting [46:40] Transitioning from HBO to the food industry and becoming "the bride who knew nothing" [52:30] Building a digital food empire - 2 million followers, billion views, and burnout [1:02:00] The evolution of social media and the pressure of constant authenticity [1:23:30] The COVID pivot and joining Aish with a vision for digital Jewish education [1:27:05] Growing Aish from 400K to 4 million followers and 2 million daily video views [1:29:20] Fast Five: Superpower, best advice, leadership style, and final wisdom Guest Description:  Jamie Geller is a former HBO producer turned cookbook author and digital media pioneer who built a food empire with over 1 billion video views before joining Aish. She's the author of 8 cookbooks, including "Quick and Kosher: Recipes from the Bride Who Knew Nothing," and has grown Aish's social media presence from 400,000 to 4 million followers. Jamie lives in Jerusalem with her husband and six children. This episode is brought to you by Roth and Co., innovators in accounting and business advisory.

This podcast features Gabriele Corso and Jeremy Wohlwend, co-founders of Boltz and authors of the Boltz Manifesto, discussing the rapid evolution of structural biology models from AlphaFold to their own open-source suite, Boltz-1 and Boltz-2. The central thesis is that while single-chain protein structure prediction is largely “solved” through evolutionary hints, the next frontier lies in modeling complex interactions (protein-ligand, protein-protein) and generative protein design, which Boltz aims to democratize via open-source foundations and scalable infrastructure.Full Video PodOn YouTube!Timestamps* 00:00 Introduction to Benchmarking and the “Solved” Protein Problem* 06:48 Evolutionary Hints and Co-evolution in Structure Prediction* 10:00 The Importance of Protein Function and Disease States* 15:31 Transitioning from AlphaFold 2 to AlphaFold 3 Capabilities* 19:48 Generative Modeling vs. Regression in Structural Biology* 25:00 The “Bitter Lesson” and Specialized AI Architectures* 29:14 Development Anecdotes: Training Boltz-1 on a Budget* 32:00 Validation Strategies and the Protein Data Bank (PDB)* 37:26 The Mission of Boltz: Democratizing Access and Open Source* 41:43 Building a Self-Sustaining Research Community* 44:40 Boltz-2 Advancements: Affinity Prediction and Design* 51:03 BoltzGen: Merging Structure and Sequence Prediction* 55:18 Large-Scale Wet Lab Validation Results* 01:02:44 Boltz Lab Product Launch: Agents and Infrastructure* 01:13:06 Future Directions: Developpability and the “Virtual Cell”* 01:17:35 Interacting with Skeptical Medicinal ChemistsKey SummaryEvolution of Structure Prediction & Evolutionary Hints* Co-evolutionary Landscapes: The speakers explain that breakthrough progress in single-chain protein prediction relied on decoding evolutionary correlations where mutations in one position necessitate mutations in another to conserve 3D structure.* Structure vs. Folding: They differentiate between structure prediction (getting the final answer) and folding (the kinetic process of reaching that state), noting that the field is still quite poor at modeling the latter.* Physics vs. Statistics: RJ posits that while models use evolutionary statistics to find the right “valley” in the energy landscape, they likely possess a “light understanding” of physics to refine the local minimum.The Shift to Generative Architectures* Generative Modeling: A key leap in AlphaFold 3 and Boltz-1 was moving from regression (predicting one static coordinate) to a generative diffusion approach that samples from a posterior distribution.* Handling Uncertainty: This shift allows models to represent multiple conformational states and avoid the “averaging” effect seen in regression models when the ground truth is ambiguous.* Specialized Architectures: Despite the “bitter lesson” of general-purpose transformers, the speakers argue that equivariant architectures remain vastly superior for biological data due to the inherent 3D geometric constraints of molecules.Boltz-2 and Generative Protein Design* Unified Encoding: Boltz-2 (and BoltzGen) treats structure and sequence prediction as a single task by encoding amino acid identities into the atomic composition of the predicted structure.* Design Specifics: Instead of a sequence, users feed the model blank tokens and a high-level “spec” (e.g., an antibody framework), and the model decodes both the 3D structure and the corresponding amino acids.* Affinity Prediction: While model confidence is a common metric, Boltz-2 focuses on affinity prediction—quantifying exactly how tightly a designed binder will stick to its target.Real-World Validation and Productization* Generalized Validation: To prove the model isn't just “regurgitating” known data, Boltz tested its designs on 9 targets with zero known interactions in the PDB, achieving nanomolar binders for two-thirds of them.* Boltz Lab Infrastructure: The newly launched Boltz Lab platform provides “agents” for protein and small molecule design, optimized to run 10x faster than open-source versions through proprietary GPU kernels.* Human-in-the-Loop: The platform is designed to convert skeptical medicinal chemists by allowing them to run parallel screens and use their intuition to filter model outputs.TranscriptRJ [00:05:35]: But the goal remains to, like, you know, really challenge the models, like, how well do these models generalize? And, you know, we've seen in some of the latest CASP competitions, like, while we've become really, really good at proteins, especially monomeric proteins, you know, other modalities still remain pretty difficult. So it's really essential, you know, in the field that there are, like, these efforts to gather, you know, benchmarks that are challenging. So it keeps us in line, you know, about what the models can do or not.Gabriel [00:06:26]: Yeah, it's interesting you say that, like, in some sense, CASP, you know, at CASP 14, a problem was solved and, like, pretty comprehensively, right? But at the same time, it was really only the beginning. So you can say, like, what was the specific problem you would argue was solved? And then, like, you know, what is remaining, which is probably quite open.RJ [00:06:48]: I think we'll steer away from the term solved, because we have many friends in the community who get pretty upset at that word. And I think, you know, fairly so. But the problem that was, you know, that a lot of progress was made on was the ability to predict the structure of single chain proteins. So proteins can, like, be composed of many chains. And single chain proteins are, you know, just a single sequence of amino acids. And one of the reasons that we've been able to make such progress is also because we take a lot of hints from evolution. So the way the models work is that, you know, they sort of decode a lot of hints. That comes from evolutionary landscapes. So if you have, like, you know, some protein in an animal, and you go find the similar protein across, like, you know, different organisms, you might find different mutations in them. And as it turns out, if you take a lot of the sequences together, and you analyze them, you see that some positions in the sequence tend to evolve at the same time as other positions in the sequence, sort of this, like, correlation between different positions. And it turns out that that is typically a hint that these two positions are close in three dimension. So part of the, you know, part of the breakthrough has been, like, our ability to also decode that very, very effectively. But what it implies also is that in absence of that co-evolutionary landscape, the models don't quite perform as well. And so, you know, I think when that information is available, maybe one could say, you know, the problem is, like, somewhat solved. From the perspective of structure prediction, when it isn't, it's much more challenging. And I think it's also worth also differentiating the, sometimes we confound a little bit, structure prediction and folding. Folding is the more complex process of actually understanding, like, how it goes from, like, this disordered state into, like, a structured, like, state. And that I don't think we've made that much progress on. But the idea of, like, yeah, going straight to the answer, we've become pretty good at.Brandon [00:08:49]: So there's this protein that is, like, just a long chain and it folds up. Yeah. And so we're good at getting from that long chain in whatever form it was originally to the thing. But we don't know how it necessarily gets to that state. And there might be intermediate states that it's in sometimes that we're not aware of.RJ [00:09:10]: That's right. And that relates also to, like, you know, our general ability to model, like, the different, you know, proteins are not static. They move, they take different shapes based on their energy states. And I think we are, also not that good at understanding the different states that the protein can be in and at what frequency, what probability. So I think the two problems are quite related in some ways. Still a lot to solve. But I think it was very surprising at the time, you know, that even with these evolutionary hints that we were able to, you know, to make such dramatic progress.Brandon [00:09:45]: So I want to ask, why does the intermediate states matter? But first, I kind of want to understand, why do we care? What proteins are shaped like?Gabriel [00:09:54]: Yeah, I mean, the proteins are kind of the machines of our body. You know, the way that all the processes that we have in our cells, you know, work is typically through proteins, sometimes other molecules, sort of intermediate interactions. And through that interactions, we have all sorts of cell functions. And so when we try to understand, you know, a lot of biology, how our body works, how disease work. So we often try to boil it down to, okay, what is going right in case of, you know, our normal biological function and what is going wrong in case of the disease state. And we boil it down to kind of, you know, proteins and kind of other molecules and their interaction. And so when we try predicting the structure of proteins, it's critical to, you know, have an understanding of kind of those interactions. It's a bit like seeing the difference between... Having kind of a list of parts that you would put it in a car and seeing kind of the car in its final form, you know, seeing the car really helps you understand what it does. On the other hand, kind of going to your question of, you know, why do we care about, you know, how the protein falls or, you know, how the car is made to some extent is that, you know, sometimes when something goes wrong, you know, there are, you know, cases of, you know, proteins misfolding. In some diseases and so on, if we don't understand this folding process, we don't really know how to intervene.RJ [00:11:30]: There's this nice line in the, I think it's in the Alpha Fold 2 manuscript, where they sort of discuss also like why we even hopeful that we can target the problem in the first place. And then there's this notion that like, well, four proteins that fold. The folding process is almost instantaneous, which is a strong, like, you know, signal that like, yeah, like we should, we might be... able to predict that this very like constrained thing that, that the protein does so quickly. And of course that's not the case for, you know, for, for all proteins. And there's a lot of like really interesting mechanisms in the cells, but yeah, I remember reading that and thought, yeah, that's somewhat of an insightful point.Gabriel [00:12:10]: I think one of the interesting things about the protein folding problem is that it used to be actually studied. And part of the reason why people thought it was impossible, it used to be studied as kind of like a classical example. Of like an MP problem. Uh, like there are so many different, you know, type of, you know, shapes that, you know, this amino acid could take. And so, this grows combinatorially with the size of the sequence. And so there used to be kind of a lot of actually kind of more theoretical computer science thinking about and studying protein folding as an MP problem. And so it was very surprising also from that perspective, kind of seeing. Machine learning so clear, there is some, you know, signal in those sequences, through evolution, but also through kind of other things that, you know, us as humans, we're probably not really able to, uh, to understand, but that is, models I've, I've learned.Brandon [00:13:07]: And so Andrew White, we were talking to him a few weeks ago and he said that he was following the development of this and that there were actually ASICs that were developed just to solve this problem. So, again, that there were. There were many, many, many millions of computational hours spent trying to solve this problem before AlphaFold. And just to be clear, one thing that you mentioned was that there's this kind of co-evolution of mutations and that you see this again and again in different species. So explain why does that give us a good hint that they're close by to each other? Yeah.RJ [00:13:41]: Um, like think of it this way that, you know, if I have, you know, some amino acid that mutates, it's going to impact everything around it. Right. In three dimensions. And so it's almost like the protein through several, probably random mutations and evolution, like, you know, ends up sort of figuring out that this other amino acid needs to change as well for the structure to be conserved. Uh, so this whole principle is that the structure is probably largely conserved, you know, because there's this function associated with it. And so it's really sort of like different positions compensating for, for each other. I see.Brandon [00:14:17]: Those hints in aggregate give us a lot. Yeah. So you can start to look at what kinds of information about what is close to each other, and then you can start to look at what kinds of folds are possible given the structure and then what is the end state.RJ [00:14:30]: And therefore you can make a lot of inferences about what the actual total shape is. Yeah, that's right. It's almost like, you know, you have this big, like three dimensional Valley, you know, where you're sort of trying to find like these like low energy states and there's so much to search through. That's almost overwhelming. But these hints, they sort of maybe put you in. An area of the space that's already like, kind of close to the solution, maybe not quite there yet. And, and there's always this question of like, how much physics are these models learning, you know, versus like, just pure like statistics. And like, I think one of the thing, at least I believe is that once you're in that sort of approximate area of the solution space, then the models have like some understanding, you know, of how to get you to like, you know, the lower energy, uh, low energy state. And so maybe you have some, some light understanding. Of physics, but maybe not quite enough, you know, to know how to like navigate the whole space. Right. Okay.Brandon [00:15:25]: So we need to give it these hints to kind of get into the right Valley and then it finds the, the minimum or something. Yeah.Gabriel [00:15:31]: One interesting explanation about our awful free works that I think it's quite insightful, of course, doesn't cover kind of the entirety of, of what awful does that is, um, they're going to borrow from, uh, Sergio Chinico for MIT. So he sees kind of awful. Then the interesting thing about awful is God. This very peculiar architecture that we have seen, you know, used, and this architecture operates on this, you know, pairwise context between amino acids. And so the idea is that probably the MSA gives you this first hint about what potential amino acids are close to each other. MSA is most multiple sequence alignment. Exactly. Yeah. Exactly. This evolutionary information. Yeah. And, you know, from this evolutionary information about potential contacts, then is almost as if the model is. of running some kind of, you know, diastro algorithm where it's sort of decoding, okay, these have to be closed. Okay. Then if these are closed and this is connected to this, then this has to be somewhat closed. And so you decode this, that becomes basically a pairwise kind of distance matrix. And then from this rough pairwise distance matrix, you decode kind of theBrandon [00:16:42]: actual potential structure. Interesting. So there's kind of two different things going on in the kind of coarse grain and then the fine grain optimizations. Interesting. Yeah. Very cool.Gabriel [00:16:53]: Yeah. You mentioned AlphaFold3. So maybe we have a good time to move on to that. So yeah, AlphaFold2 came out and it was like, I think fairly groundbreaking for this field. Everyone got very excited. A few years later, AlphaFold3 came out and maybe for some more history, like what were the advancements in AlphaFold3? And then I think maybe we'll, after that, we'll talk a bit about the sort of how it connects to Bolt. But anyway. Yeah. So after AlphaFold2 came out, you know, Jeremy and I got into the field and with many others, you know, the clear problem that, you know, was, you know, obvious after that was, okay, now we can do individual chains. Can we do interactions, interaction, different proteins, proteins with small molecules, proteins with other molecules. And so. So why are interactions important? Interactions are important because to some extent that's kind of the way that, you know, these machines, you know, these proteins have a function, you know, the function comes by the way that they interact with other proteins and other molecules. Actually, in the first place, you know, the individual machines are often, as Jeremy was mentioning, not made of a single chain, but they're made of the multiple chains. And then these multiple chains interact with other molecules to give the function to those. And on the other hand, you know, when we try to intervene of these interactions, think about like a disease, think about like a, a biosensor or many other ways we are trying to design the molecules or proteins that interact in a particular way with what we would call a target protein or target. You know, this problem after AlphaVol2, you know, became clear, kind of one of the biggest problems in the field to, to solve many groups, including kind of ours and others, you know, started making some kind of contributions to this problem of trying to model these interactions. And AlphaVol3 was, you know, was a significant advancement on the problem of modeling interactions. And one of the interesting thing that they were able to do while, you know, some of the rest of the field that really tried to try to model different interactions separately, you know, how protein interacts with small molecules, how protein interacts with other proteins, how RNA or DNA have their structure, they put everything together and, you know, train very large models with a lot of advances, including kind of changing kind of systems. Some of the key architectural choices and managed to get a single model that was able to set this new state-of-the-art performance across all of these different kind of modalities, whether that was protein, small molecules is critical to developing kind of new drugs, protein, protein, understanding, you know, interactions of, you know, proteins with RNA and DNAs and so on.Brandon [00:19:39]: Just to satisfy the AI engineers in the audience, what were some of the key architectural and data, data changes that made that possible?Gabriel [00:19:48]: Yeah, so one critical one that was not necessarily just unique to AlphaFold3, but there were actually a few other teams, including ours in the field that proposed this, was moving from, you know, modeling structure prediction as a regression problem. So where there is a single answer and you're trying to shoot for that answer to a generative modeling problem where you have a posterior distribution of possible structures and you're trying to sample this distribution. And this achieves two things. One is it starts to allow us to try to model more dynamic systems. As we said, you know, some of these structures can actually take multiple structures. And so, you know, you can now model that, you know, through kind of modeling the entire distribution. But on the second hand, from more kind of core modeling questions, when you move from a regression problem to a generative modeling problem, you are really tackling the way that you think about uncertainty in the model in a different way. So if you think about, you know, I'm undecided between different answers, what's going to happen in a regression model is that, you know, I'm going to try to make an average of those different kind of answers that I had in mind. When you have a generative model, what you're going to do is, you know, sample all these different answers and then maybe use separate models to analyze those different answers and pick out the best. So that was kind of one of the critical improvement. The other improvement is that they significantly simplified, to some extent, the architecture, especially of the final model that takes kind of those pairwise representations and turns them into an actual structure. And that now looks a lot more like a more traditional transformer than, you know, like a very specialized equivariant architecture that it was in AlphaFold3.Brandon [00:21:41]: So this is a bitter lesson, a little bit.Gabriel [00:21:45]: There is some aspect of a bitter lesson, but the interesting thing is that it's very far from, you know, being like a simple transformer. This field is one of the, I argue, very few fields in applied machine learning where we still have kind of architecture that are very specialized. And, you know, there are many people that have tried to replace these architectures with, you know, simple transformers. And, you know, there is a lot of debate in the field, but I think kind of that most of the consensus is that, you know, the performance... that we get from the specialized architecture is vastly superior than what we get through a single transformer. Another interesting thing that I think on the staying on the modeling machine learning side, which I think it's somewhat counterintuitive seeing some of the other kind of fields and applications is that scaling hasn't really worked kind of the same in this field. Now, you know, models like AlphaFold2 and AlphaFold3 are, you know, still very large models.RJ [00:29:14]: in a place, I think, where we had, you know, some experience working in, you know, with the data and working with this type of models. And I think that put us already in like a good place to, you know, to produce it quickly. And, you know, and I would even say, like, I think we could have done it quicker. The problem was like, for a while, we didn't really have the compute. And so we couldn't really train the model. And actually, we only trained the big model once. That's how much compute we had. We could only train it once. And so like, while the model was training, we were like, finding bugs left and right. A lot of them that I wrote. And like, I remember like, I was like, sort of like, you know, doing like, surgery in the middle, like stopping the run, making the fix, like relaunching. And yeah, we never actually went back to the start. We just like kept training it with like the bug fixes along the way, which was impossible to reproduce now. Yeah, yeah, no, that model is like, has gone through such a curriculum that, you know, learned some weird stuff. But yeah, somehow by miracle, it worked out.Gabriel [00:30:13]: The other funny thing is that the way that we were training, most of that model was through a cluster from the Department of Energy. But that's sort of like a shared cluster that many groups use. And so we were basically training the model for two days, and then it would go back to the queue and stay a week in the queue. Oh, yeah. And so it was pretty painful. And so we actually kind of towards the end with Evan, the CEO of Genesis, and basically, you know, I was telling him a bit about the project and, you know, kind of telling him about this frustration with the compute. And so luckily, you know, he offered to kind of help. And so we, we got the help from Genesis to, you know, finish up the model. Otherwise, it probably would have taken a couple of extra weeks.Brandon [00:30:57]: Yeah, yeah.Brandon [00:31:02]: And then, and then there's some progression from there.Gabriel [00:31:06]: Yeah, so I would say kind of that, both one, but also kind of these other kind of set of models that came around the same time, were kind of approaching were a big leap from, you know, kind of the previous kind of open source models, and, you know, kind of really kind of approaching the level of AlphaVault 3. But I would still say that, you know, even to this day, there are, you know, some... specific instances where AlphaVault 3 works better. I think one common example is antibody antigen prediction, where, you know, AlphaVault 3 still seems to have an edge in many situations. Obviously, these are somewhat different models. They are, you know, you run them, you obtain different results. So it's, it's not always the case that one model is better than the other, but kind of in aggregate, we still, especially at the time.Brandon [00:32:00]: So AlphaVault 3 is, you know, still having a bit of an edge. We should talk about this more when we talk about Boltzgen, but like, how do you know one is, one model is better than the other? Like you, so you, I make a prediction, you make a prediction, like, how do you know?Gabriel [00:32:11]: Yeah, so easily, you know, the, the great thing about kind of structural prediction and, you know, once we're going to go into the design space of designing new small molecule, new proteins, this becomes a lot more complex. But a great thing about structural prediction is that a bit like, you know, CASP was doing, basically the way that you can evaluate them is that, you know, you train... You know, you train a model on a structure that was, you know, released across the field up until a certain time. And, you know, one of the things that we didn't talk about that was really critical in all this development is the PDB, which is the Protein Data Bank. It's this common resources, basically common database where every biologist publishes their structures. And so we can, you know, train on, you know, all the structures that were put in the PDB until a certain date. And then... And then we basically look for recent structures, okay, which structures look pretty different from anything that was published before, because we really want to try to understand generalization.Brandon [00:33:13]: And then on this new structure, we evaluate all these different models. And so you just know when AlphaFold3 was trained, you know, when you're, you intentionally trained to the same date or something like that. Exactly. Right. Yeah.Gabriel [00:33:24]: And so this is kind of the way that you can somewhat easily kind of compare these models, obviously, that assumes that, you know, the training. You've always been very passionate about validation. I remember like DiffDoc, and then there was like DiffDocL and DocGen. You've thought very carefully about this in the past. Like, actually, I think DocGen is like a really funny story that I think, I don't know if you want to talk about that. It's an interesting like... Yeah, I think one of the amazing things about putting things open source is that we get a ton of feedback from the field. And, you know, sometimes we get kind of great feedback of people. Really like... But honestly, most of the times, you know, to be honest, that's also maybe the most useful feedback is, you know, people sharing about where it doesn't work. And so, you know, at the end of the day, it's critical. And this is also something, you know, across other fields of machine learning. It's always critical to set, to do progress in machine learning, set clear benchmarks. And as, you know, you start doing progress of certain benchmarks, then, you know, you need to improve the benchmarks and make them harder and harder. And this is kind of the progression of, you know, how the field operates. And so, you know, the example of DocGen was, you know, we published this initial model called DiffDoc in my first year of PhD, which was sort of like, you know, one of the early models to try to predict kind of interactions between proteins, small molecules, that we bought a year after AlphaFold2 was published. And now, on the one hand, you know, on these benchmarks that we were using at the time, DiffDoc was doing really well, kind of, you know, outperforming kind of some of the traditional physics-based methods. But on the other hand, you know, when we started, you know, kind of giving these tools to kind of many biologists, and one example was that we collaborated with was the group of Nick Polizzi at Harvard. We noticed, started noticing that there was this clear, pattern where four proteins that were very different from the ones that we're trained on, the models was, was struggling. And so, you know, that seemed clear that, you know, this is probably kind of where we should, you know, put our focus on. And so we first developed, you know, with Nick and his group, a new benchmark, and then, you know, went after and said, okay, what can we change? And kind of about the current architecture to improve this pattern and generalization. And this is the same that, you know, we're still doing today, you know, kind of, where does the model not work, you know, and then, you know, once we have that benchmark, you know, let's try to, through everything we, any ideas that we have of the problem.RJ [00:36:15]: And there's a lot of like healthy skepticism in the field, which I think, you know, is, is, is great. And I think, you know, it's very clear that there's a ton of things, the models don't really work well on, but I think one thing that's probably, you know, undeniable is just like the pace of, pace of progress, you know, and how, how much better we're getting, you know, every year. And so I think if you, you know, if you assume, you know, any constant, you know, rate of progress moving forward, I think things are going to look pretty cool at some point in the future.Gabriel [00:36:42]: ChatGPT was only three years ago. Yeah, I mean, it's wild, right?RJ [00:36:45]: Like, yeah, yeah, yeah, it's one of those things. Like, you've been doing this. Being in the field, you don't see it coming, you know? And like, I think, yeah, hopefully we'll, you know, we'll, we'll continue to have as much progress we've had the past few years.Brandon [00:36:55]: So this is maybe an aside, but I'm really curious, you get this great feedback from the, from the community, right? By being open source. My question is partly like, okay, yeah, if you open source and everyone can copy what you did, but it's also maybe balancing priorities, right? Where you, like all my customers are saying. I want this, there's all these problems with the model. Yeah, yeah. But my customers don't care, right? So like, how do you, how do you think about that? Yeah.Gabriel [00:37:26]: So I would say a couple of things. One is, you know, part of our goal with Bolts and, you know, this is also kind of established as kind of the mission of the public benefit company that we started is to democratize the access to these tools. But one of the reasons why we realized that Bolts needed to be a company, it couldn't just be an academic project is that putting a model on GitHub is definitely not enough to get, you know, chemists and biologists, you know, across, you know, both academia, biotech and pharma to use your model to, in their therapeutic programs. And so a lot of what we think about, you know, at Bolts beyond kind of the, just the models is thinking about all the layers. The layers that come on top of the models to get, you know, from, you know, those models to something that can really enable scientists in the industry. And so that goes, you know, into building kind of the right kind of workflows that take in kind of, for example, the data and try to answer kind of directly that those problems that, you know, the chemists and the biologists are asking, and then also kind of building the infrastructure. And so this to say that, you know, even with models fully open. You know, we see a ton of potential for, you know, products in the space and the critical part about a product is that even, you know, for example, with an open source model, you know, running the model is not free, you know, as we were saying, these are pretty expensive model and especially, and maybe we'll get into this, you know, these days we're seeing kind of pretty dramatic inference time scaling of these models where, you know, the more you run them, the better the results are. But there, you know, you see. You start getting into a point that compute and compute costs becomes a critical factor. And so putting a lot of work into building the right kind of infrastructure, building the optimizations and so on really allows us to provide, you know, a much better service potentially to the open source models. That to say, you know, even though, you know, with a product, we can provide a much better service. I do still think, and we will continue to put a lot of our models open source because the critical kind of role. I think of open source. Models is, you know, helping kind of the community progress on the research and, you know, from which we, we all benefit. And so, you know, we'll continue to on the one hand, you know, put some of our kind of base models open source so that the field can, can be on top of it. And, you know, as we discussed earlier, we learn a ton from, you know, the way that the field uses and builds on top of our models, but then, you know, try to build a product that gives the best experience possible to scientists. So that, you know, like a chemist or a biologist doesn't need to, you know, spin off a GPU and, you know, set up, you know, our open source model in a particular way, but can just, you know, a bit like, you know, I, even though I am a computer scientist, machine learning scientist, I don't necessarily, you know, take a open source LLM and try to kind of spin it off. But, you know, I just maybe open a GPT app or a cloud code and just use it as an amazing product. We kind of want to give the same experience. So this front world.Brandon [00:40:40]: I heard a good analogy yesterday that a surgeon doesn't want the hospital to design a scalpel, right?Brandon [00:40:48]: So just buy the scalpel.RJ [00:40:50]: You wouldn't believe like the number of people, even like in my short time, you know, between AlphaFold3 coming out and the end of the PhD, like the number of people that would like reach out just for like us to like run AlphaFold3 for them, you know, or things like that. Just because like, you know, bolts in our case, you know, just because it's like. It's like not that easy, you know, to do that, you know, if you're not a computational person. And I think like part of the goal here is also that, you know, we continue to obviously build the interface with computational folks, but that, you know, the models are also accessible to like a larger, broader audience. And then that comes from like, you know, good interfaces and stuff like that.Gabriel [00:41:27]: I think one like really interesting thing about bolts is that with the release of it, you didn't just release a model, but you created a community. Yeah. Did that community, it grew very quickly. Did that surprise you? And like, what is the evolution of that community and how is that fed into bolts?RJ [00:41:43]: If you look at its growth, it's like very much like when we release a new model, it's like, there's a big, big jump, but yeah, it's, I mean, it's been great. You know, we have a Slack community that has like thousands of people on it. And it's actually like self-sustaining now, which is like the really nice part because, you know, it's, it's almost overwhelming, I think, you know, to be able to like answer everyone's questions and help. It's really difficult, you know. The, the few people that we were, but it ended up that like, you know, people would answer each other's questions and like, sort of like, you know, help one another. And so the Slack, you know, has been like kind of, yeah, self, self-sustaining and that's been, it's been really cool to see.RJ [00:42:21]: And, you know, that's, that's for like the Slack part, but then also obviously on GitHub as well. We've had like a nice, nice community. You know, I think we also aspire to be even more active on it, you know, than we've been in the past six months, which has been like a bit challenging, you know, for us. But. Yeah, the community has been, has been really great and, you know, there's a lot of papers also that have come out with like new evolutions on top of bolts and it's surprised us to some degree because like there's a lot of models out there. And I think like, you know, sort of people converging on that was, was really cool. And, you know, I think it speaks also, I think, to the importance of like, you know, when, when you put code out, like to try to put a lot of emphasis and like making it like as easy to use as possible and something we thought a lot about when we released the code base. You know, it's far from perfect, but, you know.Brandon [00:43:07]: Do you think that that was one of the factors that caused your community to grow is just the focus on easy to use, make it accessible? I think so.RJ [00:43:14]: Yeah. And we've, we've heard it from a few people over the, over the, over the years now. And, you know, and some people still think it should be a lot nicer and they're, and they're right. And they're right. But yeah, I think it was, you know, at the time, maybe a little bit easier than, than other things.Gabriel [00:43:29]: The other thing part, I think led to, to the community and to some extent, I think, you know, like the somewhat the trust in the community. Kind of what we, what we put out is the fact that, you know, it's not really been kind of, you know, one model, but, and maybe we'll talk about it, you know, after Boltz 1, you know, there were maybe another couple of models kind of released, you know, or open source kind of soon after. We kind of continued kind of that open source journey or at least Boltz 2, where we are not only improving kind of structure prediction, but also starting to do affinity predictions, understanding kind of the strength of the interactions between these different models, which is this critical component. critical property that you often want to optimize in discovery programs. And then, you know, more recently also kind of protein design model. And so we've sort of been building this suite of, of models that come together, interact with one another, where, you know, kind of, there is almost an expectation that, you know, we, we take very at heart of, you know, always having kind of, you know, across kind of the entire suite of different tasks, the best or across the best. model out there so that it's sort of like our open source tool can be kind of the go-to model for everybody in the, in the industry. I really want to talk about Boltz 2, but before that, one last question in this direction, was there anything about the community which surprised you? Were there any, like, someone was doing something and you're like, why would you do that? That's crazy. Or that's actually genius. And I never would have thought about that.RJ [00:45:01]: I mean, we've had many contributions. I think like some of the. Interesting ones, like, I mean, we had, you know, this one individual who like wrote like a complex GPU kernel, you know, for part of the architecture on a piece of, the funny thing is like that piece of the architecture had been there since AlphaFold 2, and I don't know why it took Boltz for this, you know, for this person to, you know, to decide to do it, but that was like a really great contribution. We've had a bunch of others, like, you know, people figuring out like ways to, you know, hack the model to do something. They click peptides, like, you know, there's, I don't know if there's any other interesting ones come to mind.Gabriel [00:45:41]: One cool one, and this was, you know, something that initially was proposed as, you know, as a message in the Slack channel by Tim O'Donnell was basically, he was, you know, there are some cases, especially, for example, we discussed, you know, antibody-antigen interactions where the models don't necessarily kind of get the right answer. What he noticed is that, you know, the models were somewhat stuck into predicting kind of the antibodies. And so he basically ran the experiments in this model, you can condition, basically, you can give hints. And so he basically gave, you know, random hints to the model, basically, okay, you should bind to this residue, you should bind to the first residue, or you should bind to the 11th residue, or you should bind to the 21st residue, you know, basically every 10 residues scanning the entire antigen.Brandon [00:46:33]: Residues are the...Gabriel [00:46:34]: The amino acids. The amino acids, yeah. So the first amino acids. The 11 amino acids, and so on. So it's sort of like doing a scan, and then, you know, conditioning the model to predict all of them, and then looking at the confidence of the model in each of those cases and taking the top. And so it's sort of like a very somewhat crude way of doing kind of inference time search. But surprisingly, you know, for antibody-antigen prediction, it actually kind of helped quite a bit. And so there's some, you know, interesting ideas that, you know, obviously, as kind of developing the model, you say kind of, you know, wow. This is why would the model, you know, be so dumb. But, you know, it's very interesting. And that, you know, leads you to also kind of, you know, start thinking about, okay, how do I, can I do this, you know, not with this brute force, but, you know, in a smarter way.RJ [00:47:22]: And so we've also done a lot of work on that direction. And that speaks to, like, the, you know, the power of scoring. We're seeing that a lot. I'm sure we'll talk about it more when we talk about BullsGen. But, you know, our ability to, like, take a structure and determine that that structure is, like... Good. You know, like, somewhat accurate. Whether that's a single chain or, like, an interaction is a really powerful way of improving, you know, the models. Like, sort of like, you know, if you can sample a ton and you assume that, like, you know, if you sample enough, you're likely to have, like, you know, the good structure. Then it really just becomes a ranking problem. And, you know, now we're, you know, part of the inference time scaling that Gabby was talking about is very much that. It's like, you know, the more we sample, the more we, like, you know, the ranking model. The ranking model ends up finding something it really likes. And so I think our ability to get better at ranking, I think, is also what's going to enable sort of the next, you know, next big, big breakthroughs. Interesting.Brandon [00:48:17]: But I guess there's a, my understanding, there's a diffusion model and you generate some stuff and then you, I guess, it's just what you said, right? Then you rank it using a score and then you finally... And so, like, can you talk about those different parts? Yeah.Gabriel [00:48:34]: So, first of all, like, the... One of the critical kind of, you know, beliefs that we had, you know, also when we started working on Boltz 1 was sort of like the structure prediction models are somewhat, you know, our field version of some foundation models, you know, learning about kind of how proteins and other molecules interact. And then we can leverage that learning to do all sorts of other things. And so with Boltz 2, we leverage that learning to do affinity predictions. So understanding kind of, you know, if I give you this protein, this molecule. How tightly is that interaction? For Boltz 1, what we did was taking kind of that kind of foundation models and then fine tune it to predict kind of entire new proteins. And so the way basically that that works is sort of like instead of for the protein that you're designing, instead of fitting in an actual sequence, you fit in a set of blank tokens. And you train the models to, you know, predict both the structure of kind of that protein. The structure also, what the different amino acids of that proteins are. And so basically the way that Boltz 1 operates is that you feed a target protein that you may want to kind of bind to or, you know, another DNA, RNA. And then you feed the high level kind of design specification of, you know, what you want your new protein to be. For example, it could be like an antibody with a particular framework. It could be a peptide. It could be many other things. And that's with natural language or? And that's, you know, basically, you know, prompting. And we have kind of this sort of like spec that you specify. And, you know, you feed kind of this spec to the model. And then the model translates this into, you know, a set of, you know, tokens, a set of conditioning to the model, a set of, you know, blank tokens. And then, you know, basically the codes as part of the diffusion models, the codes. It's a new structure and a new sequence for your protein. And, you know, basically, then we take that. And as Jeremy was saying, we are trying to score it and, you know, how good of a binder it is to that original target.Brandon [00:50:51]: You're using basically Boltz to predict the folding and the affinity to that molecule. So and then that kind of gives you a score? Exactly.Gabriel [00:51:03]: So you use this model to predict the folding. And then you do two things. One is that you predict the structure and with something like Boltz2, and then you basically compare that structure with what the model predicted, what Boltz2 predicted. And this is sort of like in the field called consistency. It's basically you want to make sure that, you know, the structure that you're predicting is actually what you're trying to design. And that gives you a much better confidence that, you know, that's a good design. And so that's the first filtering. And the second filtering that we did as part of kind of the Boltz2 pipeline that was released is that we look at the confidence that the model has in the structure. Now, unfortunately, kind of going to your question of, you know, predicting affinity, unfortunately, confidence is not a very good predictor of affinity. And so one of the things that we've actually done a ton of progress, you know, since we released Boltz2.Brandon [00:52:03]: And kind of we have some new results that we are going to kind of announce soon is kind of, you know, the ability to get much better hit rates when instead of, you know, trying to rely on confidence of the model, we are actually directly trying to predict the affinity of that interaction. Okay. Just backing up a minute. So your diffusion model actually predicts not only the protein sequence, but also the folding of it. Exactly.Gabriel [00:52:32]: And actually, you can... One of the big different things that we did compared to other models in the space, and, you know, there were some papers that had already kind of done this before, but we really scaled it up was, you know, basically somewhat merging kind of the structure prediction and the sequence prediction into almost the same task. And so the way that Boltz2 works is that you are basically the only thing that you're doing is predicting the structure. So the only sort of... Supervision is we give you a supervision on the structure, but because the structure is atomic and, you know, the different amino acids have a different atomic composition, basically from the way that you place the atoms, we also understand not only kind of the structure that you wanted, but also the identity of the amino acid that, you know, the models believed was there. And so we've basically, instead of, you know, having these two supervision signals, you know, one discrete, one continuous. That somewhat, you know, don't interact well together. We sort of like build kind of like an encoding of, you know, sequences in structures that allows us to basically use exactly the same supervision signal that we were using to Boltz2 that, you know, you know, largely similar to what AlphaVol3 proposed, which is very scalable. And we can use that to design new proteins. Oh, interesting.RJ [00:53:58]: Maybe a quick shout out to Hannes Stark on our team who like did all this work. Yeah.Gabriel [00:54:04]: Yeah, that was a really cool idea. I mean, like looking at the paper and there's this is like encoding or you just add a bunch of, I guess, kind of atoms, which can be anything, and then they get sort of rearranged and then basically plopped on top of each other so that and then that encodes what the amino acid is. And there's sort of like a unique way of doing this. It was that was like such a really such a cool, fun idea.RJ [00:54:29]: I think that idea was had existed before. Yeah, there were a couple of papers.Gabriel [00:54:33]: Yeah, I had proposed this and and Hannes really took it to the large scale.Brandon [00:54:39]: In the paper, a lot of the paper for Boltz2Gen is dedicated to actually the validation of the model. In my opinion, all the people we basically talk about feel that this sort of like in the wet lab or whatever the appropriate, you know, sort of like in real world validation is the whole problem or not the whole problem, but a big giant part of the problem. So can you talk a little bit about the highlights? From there, that really because to me, the results are impressive, both from the perspective of the, you know, the model and also just the effort that went into the validation by a large team.Gabriel [00:55:18]: First of all, I think I should start saying is that both when we were at MIT and Thomas Yacolas and Regina Barzillai's lab, as well as at Boltz, you know, we are not a we're not a biolab and, you know, we are not a therapeutic company. And so to some extent, you know, we were first forced to, you know, look outside of, you know, our group, our team to do the experimental validation. One of the things that really, Hannes, in the team pioneer was the idea, OK, can we go not only to, you know, maybe a specific group and, you know, trying to find a specific system and, you know, maybe overfit a bit to that system and trying to validate. But how can we test this model? So. Across a very wide variety of different settings so that, you know, anyone in the field and, you know, printing design is, you know, such a kind of wide task with all sorts of different applications from therapeutic to, you know, biosensors and many others that, you know, so can we get a validation that is kind of goes across many different tasks? And so he basically put together, you know, I think it was something like, you know, 25 different. You know, academic and industry labs that committed to, you know, testing some of the designs from the model and some of this testing is still ongoing and, you know, giving results kind of back to us in exchange for, you know, hopefully getting some, you know, new great sequences for their task. And he was able to, you know, coordinate this, you know, very wide set of, you know, scientists and already in the paper, I think we. Shared results from, I think, eight to 10 different labs kind of showing results from, you know, designing peptides, designing to target, you know, ordered proteins, peptides targeting disordered proteins, which are results, you know, of designing proteins that bind to small molecules, which are results of, you know, designing nanobodies and across a wide variety of different targets. And so that's sort of like. That gave to the paper a lot of, you know, validation to the model, a lot of validation that was kind of wide.Brandon [00:57:39]: And so those would be therapeutics for those animals or are they relevant to humans as well? They're relevant to humans as well.Gabriel [00:57:45]: Obviously, you need to do some work into, quote unquote, humanizing them, making sure that, you know, they have the right characteristics to so they're not toxic to humans and so on.RJ [00:57:57]: There are some approved medicine in the market that are nanobodies. There's a general. General pattern, I think, in like in trying to design things that are smaller, you know, like it's easier to manufacture at the same time, like that comes with like potentially other challenges, like maybe a little bit less selectivity than like if you have something that has like more hands, you know, but the yeah, there's this big desire to, you know, try to design many proteins, nanobodies, small peptides, you know, that just are just great drug modalities.Brandon [00:58:27]: Okay. I think we were left off. We were talking about validation. Validation in the lab. And I was very excited about seeing like all the diverse validations that you've done. Can you go into some more detail about them? Yeah. Specific ones. Yeah.RJ [00:58:43]: The nanobody one. I think we did. What was it? 15 targets. Is that correct? 14. 14 targets. Testing. So we typically the way this works is like we make a lot of designs. All right. On the order of like tens of thousands. And then we like rank them and we pick like the top. And in this case, and was 15 right for each target and then we like measure sort of like the success rates, both like how many targets we were able to get a binder for and then also like more generally, like out of all of the binders that we designed, how many actually proved to be good binders. Some of the other ones I think involved like, yeah, like we had a cool one where there was a small molecule or design a protein that binds to it. That has a lot of like interesting applications, you know, for example. Like Gabri mentioned, like biosensing and things like that, which is pretty cool. We had a disordered protein, I think you mentioned also. And yeah, I think some of those were some of the highlights. Yeah.Gabriel [00:59:44]: So I would say that the way that we structure kind of some of those validations was on the one end, we have validations across a whole set of different problems that, you know, the biologists that we were working with came to us with. So we were trying to. For example, in some of the experiments, design peptides that would target the RACC, which is a target that is involved in metabolism. And we had, you know, a number of other applications where we were trying to design, you know, peptides or other modalities against some other therapeutic relevant targets. We designed some proteins to bind small molecules. And then some of the other testing that we did was really trying to get like a more broader sense. So how does the model work, especially when tested, you know, on somewhat generalization? So one of the things that, you know, we found with the field was that a lot of the validation, especially outside of the validation that was on specific problems, was done on targets that have a lot of, you know, known interactions in the training data. And so it's always a bit hard to understand, you know, how much are these models really just regurgitating kind of what they've seen or trying to imitate. What they've seen in the training data versus, you know, really be able to design new proteins. And so one of the experiments that we did was to take nine targets from the PDB, filtering to things where there is no known interaction in the PDB. So basically the model has never seen kind of this particular protein bound or a similar protein bound to another protein. So there is no way that. The model from its training set can sort of like say, okay, I'm just going to kind of tweak something and just imitate this particular kind of interaction. And so we took those nine proteins. We worked with adaptive CRO and basically tested, you know, 15 mini proteins and 15 nanobodies against each one of them. And the very cool thing that we saw was that on two thirds of those targets, we were able to, from this 15 design, get nanomolar binders, nanomolar, roughly speaking, just a measure of, you know, how strongly kind of the interaction is, roughly speaking, kind of like a nanomolar binder is approximately the kind of binding strength or binding that you need for a therapeutic. Yeah. So maybe switching directions a bit. Bolt's lab was just announced this week or was it last week? Yeah. This is like your. First, I guess, product, if that's if you want to call it that. Can you talk about what Bolt's lab is and yeah, you know, what you hope that people take away from this? Yeah.RJ [01:02:44]: You know, as we mentioned, like I think at the very beginning is the goal with the product has been to, you know, address what the models don't on their own. And there's largely sort of two categories there. I'll split it in three. The first one. It's one thing to predict, you know, a single interaction, for example, like a single structure. It's another to like, you know, very effectively search a space, a design space to produce something of value. What we found, like sort of building on this product is that there's a lot of steps involved, you know, in that there's certainly need to like, you know, accompany the user through, you know, one of those steps, for example, is like, you know, the creation of the target itself. You know, how do we make sure that the model has like a good enough understanding of the target? So we can like design something and there's all sorts of tricks, you know, that you can do to improve like a particular, you know, structure prediction. And so that's sort of like, you know, the first stage. And then there's like this stage of like, you know, designing and searching the space efficiently. You know, for something like BullsGen, for example, like you, you know, you design many things and then you rank them, for example, for small molecule process, a little bit more complicated. We actually need to also make sure that the molecules are synthesizable. And so the way we do that is that, you know, we have a generative model that learns. To use like appropriate building blocks such that, you know, it can design within a space that we know is like synthesizable. And so there's like, you know, this whole pipeline really of different models involved in being able to design a molecule. And so that's been sort of like the first thing we call them agents. We have a protein agent and we have a small molecule design agents. And that's really like at the core of like what powers, you know, the BullsLab platform.Brandon [01:04:22]: So these agents, are they like a language model wrapper or they're just like your models and you're just calling them agents? A lot. Yeah. Because they, they, they sort of perform a function on behalf of.RJ [01:04:33]: They're more of like a, you know, a recipe, if you wish. And I think we use that term sort of because of, you know, sort of the complex pipelining and automation, you know, that goes into like all this plumbing. So that's the first part of the product. The second part is the infrastructure. You know, we need to be able to do this at very large scale for any one, you know, group that's doing a design campaign. Let's say you're designing, you know, I'd say a hundred thousand possible candidates. Right. To find the good one that is, you know, a very large amount of compute, you know, for small molecules, it's on the order of like a few seconds per designs for proteins can be a bit longer. And so, you know, ideally you want to do that in parallel, otherwise it's going to take you weeks. And so, you know, we've put a lot of effort into like, you know, our ability to have a GPU fleet that allows any one user, you know, to be able to do this kind of like large parallel search.Brandon [01:05:23]: So you're amortizing the cost over your users. Exactly. Exactly.RJ [01:05:27]: And, you know, to some degree, like it's whether you. Use 10,000 GPUs for like, you know, a minute is the same cost as using, you know, one GPUs for God knows how long. Right. So you might as well try to parallelize if you can. So, you know, a lot of work has gone, has gone into that, making it very robust, you know, so that we can have like a lot of people on the platform doing that at the same time. And the third one is, is the interface and the interface comes in, in two shapes. One is in form of an API and that's, you know, really suited for companies that want to integrate, you know, these pipelines, these agents.RJ [01:06:01]: So we're already partnering with, you know, a few distributors, you know, that are gonna integrate our API. And then the second part is the user interface. And, you know, we, we've put a lot of thoughts also into that. And this is when I, I mentioned earlier, you know, this idea of like broadening the audience. That's kind of what the, the user interface is about. And we've built a lot of interesting features in it, you know, for example, for collaboration, you know, when you have like potentially multiple medicinal chemists or. We're going through the results and trying to pick out, okay, like what are the molecules that we're going to go and test in the lab? It's powerful for them to be able to, you know, for example, each provide their own ranking and then do consensus building. And so there's a lot of features around launching these large jobs, but also around like collaborating on analyzing the results that we try to solve, you know, with that part of the platform. So Bolt's lab is sort of a combination of these three objectives into like one, you know, sort of cohesive platform. Who is this accessible to? Everyone. You do need to request access today. We're still like, you know, sort of ramping up the usage, but anyone can request access. If you are an academic in particular, we, you know, we provide a fair amount of free credit so you can play with the platform. If you are a startup or biotech, you may also, you know, reach out and we'll typically like actually hop on a call just to like understand what you're trying to do and also provide a lot of free credit to get started. And of course, also with larger companies, we can deploy this platform in a more like secure environment. And so that's like more like customizing. You know, deals that we make, you know, with the partners, you know, and that's sort of the ethos of Bolt. I think this idea of like servicing everyone and not necessarily like going after just, you know, the really large enterprises. And that starts from the open source, but it's also, you know, a key design principle of the product itself.Gabriel [01:07:48]: One thing I was thinking about with regards to infrastructure, like in the LLM space, you know, the cost of a token has gone down by I think a factor of a thousand or so over the last three years, right? Yeah. And is it possible that like essentially you can exploit economies of scale and infrastructure that you can make it cheaper to run these things yourself than for any person to roll their own system? A hundred percent. Yeah.RJ [01:08:08]: I mean, we're already there, you know, like running Bolts on our platform, especially on a large screen is like considerably cheaper than it would probably take anyone to put the open source model out there and run it. And on top of the infrastructure, like one of the things that we've been working on is accelerating the models. So, you know. Our small molecule screening pipeline is 10x faster on Bolts Lab than it is in the open source, you know, and that's also part of like, you know, building a product, you know, of something that scales really well. And we really wanted to get to a point where like, you know, we could keep prices very low in a way that it would be a no-brainer, you know, to use Bolts through our platform.Gabriel [01:08:52]: How do you think about validation of your like agentic systems? Because, you know, as you were saying earlier. Like we're AlphaFold style models are really good at, let's say, monomeric, you know, proteins where you have, you know, co-evolution data. But now suddenly the whole point of this is to design something which doesn't have, you know, co-evolution data, something which is really novel. So now you're basically leaving the domain that you thought was, you know, that you know you are good at. So like, how do you validate that?RJ [01:09:22]: Yeah, I like every complete, but there's obviously, you know, a ton of computational metrics. That we rely on, but those are only take you so far. You really got to go to the lab, you know, and test, you know, okay, with this method A and this method B, how much better are we? You know, how much better is my, my hit rate? How stronger are my binders? Also, it's not just about hit rate. It's also about how good the binders are. And there's really like no way, nowhere around that. I think we're, you know, we've really ramped up the amount of experimental validation that we do so that we like really track progress, you know, as scientifically sound, you know. Yeah. As, as possible out of this, I think.Gabriel [01:10:00]: Yeah, no, I think, you know, one thing that is unique about us and maybe companies like us is that because we're not working on like maybe a couple of therapeutic pipelines where, you know, our validation would be focused on those. We, when we do an experimental validation, we try to test it across tens of targets. And so that on the one end, we can get a much more statistically significant result and, and really allows us to make progress. From the methodological side without being, you know, steered by, you know, overfitting on any one particular system. And of course we choose, you know, w

Ted speaks with Stacy Eakman, Partner with Alair Homes, about the construction industry, focusing on the recent completion of the New American Home in Orlando. They discuss the challenges and successes of building this large custom home in just 14 months, the importance of planning and client trust, and the innovative shift towards steel construction. Stacey shares insights on the current market trends in Seattle, the emotional impact of rebuilding after disasters, and the benefits of being part of the Alair Homes franchise. The conversation highlights the significance of transparency in pricing and the need for strong client relationships in the construction business.TOPICS DISCUSSED01:10 Introduction to Stacey Eakman and Alair Homes02:10 Building the New American Home05:00 The Alair Process and Lessons Learned010:00 Pricing, Quality, and Client Relationships16:45 Expanding Alair to Southern California18:00 Challenges in Rebuilding After Disasters30:00 Market Trends and Client Expectations34:30 Transparency in Pricing and Building Trust with Clients41:30 The Role of Passion in Construction45:15 Transitioning to a New Business Model49:30 Standardizing Construction Processes CONNECT WITH GUESTStacy EakmanWebsiteLinkedInInstagramKEY QUOTES FROM EPISODE"We built the New American Home in 14 months.""Alair operates as a franchise with 108 offices.""Building trust with clients is crucial."

Phoenix-based real estate agent Andrea Madison discusses her journey into the industry on the Built How Podcast, hosted by Lucas Sherraden. Transitioning from retail and banking during the 2010 housing crash, Andrea leveraged her experiences to build a thriving real estate business, balancing work with raising four young children. She emphasizes the importance of emotional intelligence, learning, and understanding clients' needs. Andrea shares insights on recruiting and managing a team in real estate and offers advice for new agents starting out. Tune in for her thoughtful approach to real estate success. Connect with Andrea at https://www.ramseyteamhomes.com/realestateagent/search ---------- Be sure to leave a rating and review and don't forget to go to www.builthow.com and register for our next live or virtual event. Part of the Win Make Give Podcast Network

EPISODE SUMMARY: Angela Perelli is a radio and podcast talent and life coach with over 30 years of radio experience, including programming at groundbreaking female-targeted radio stations. She shares how her unique skillset allows her to carve her own path and develop top talent. On this episode of Chachi Loves Everybody, Chachi talks to Angela about: Growing up in San Francisco, and how she got pulled into radio Transitioning from being an intern, to talent, to AP,D to PD, and learning which programming approaches worked best How she built a competitive radio station in LA and helped figure out how to modern AC format Managing big personalities as a Program Director Developing Ryan Seacrest and how he used talent and hustle to find success The challenges she faces in a changing music landscape, and how to navigate stressful times in radio Moving to Canada and what she learned from Canadian radio Becoming a consultant and life coach, and launching Angela Perelli Consulting Her advice for the next generation of broadcasters. And More! ABOUT THIS EPISODE'S GUEST: Angela Perelli has over 30 years of experience in major market radio, with the past 16 devoted specifically to the development of personalities and personality brands. She’s worked with: Ryan Seacrest; Kevin & Bean, KROQ/Los Angeles; Marilyn Denis & Jamar, CHUM 104.5/Toronto; Dave Ryan Show, KDWB/Minneapolis; Miguel & Holly, Hot 105.3/Tampa; Carson Daly, Jamie White, Mercedes in the Morning, That Guy Kramer, Nat & Drew and Jonny, Holly & Nira in Vancouver and many many more. Seeing a gap between the feedback needs of talent and the time and bandwidth of managers, she used her unique skillset-combination of major market radio and life coaching expertise to meet performers where they are and inspire them to reach their full potential. Prior to launching her own company, she spent over 20 years in programming at groundbreaking female-targeted radio stations, KIOI-FM (K101)/San Francisco and KYSR-FM (Star 98.7)/Los Angeles, winning multiple industry awards. ABOUT THE PODCAST: Chachi Loves Everybody is brought to you by Benztown and hosted by the President of Benztown, Dave “Chachi” Denes. Get a behind-the-scenes look at the myths and legends of the radio industry. ABOUT BENZTOWN: Benztown is a leading international audio imaging, production library, voiceover, programming, podcasting, and jingle production company with over 3,000 affiliations on six different continents. Benztown provides audio brands and radio stations of all formats with end-to-end imaging and production, making high-quality sound and world- class audio branding a reality for radio stations of all market sizes and budgets. Benztown was named to the prestigious Inc. 5000 by Inc. magazine for five consecutive years as one of America’s Fastest-Growing Privately Held Companies. With studios in Los Angeles and Stuttgart, Benztown offers the highest quality audio imaging work parts for 23 libraries across 14 music and spoken word formats including AC, Hot AC, CHR, Country, Hip Hop and R&B, Rhythmic, Classic Hits, Rock, News/Talk, Sports, and JACK. Benztown’s Audio Architecture is one of the only commercial libraries that is built exclusively for radio spots to provide the right music for radio commercials. Benztown provides custom VO and imaging across all formats, including commercial VO and copywriting in partnership with Yamanair Creative. Benztown Radio Networks produces, markets, and distributes high-quality programming and services to radio stations around the world, including: The Rick Dees Weekly Top 40 Countdown, The Todd-N-Tyler Radio Empire, Hot Mix, Sunday Night Slow Jams with R Dub!, Flashback, Top 10 Now & Then, Hey, Morton, StudioTexter, The Rooster Show Prep, and AmeriCountry. Benztown + McVay Media Podcast Networks produces and markets premium podcasts including: IEX: Boxes and Lines and Molecular Moments. Web: benztown.com Facebook: facebook.com/benztownradio Twitter: @benztownradio LinkedIn: linkedin.com/company/benztown Instagram: instagram.com/benztownradio PEOPLE MENTIONED: Kevin and Bean Carson Daly Shoboy Chet Buchanan Dr. Don Don Bleu Bobby Cole Bill Stairs Bob Lawrence Dave Shakes John Evans Larry Berger Deborah Parenti Leslie Visser Dan Vallie Randy Lane Mark and Brian Mark and Kim Rick Dees Big Boy Dave Beasing Mark Goodman Larry Morgan Jamie, Frosty and Frank Greg Sims Lara Scott Rick Stacey Ryan Seacrest Lisa Fox Guy Zapoleon Steve Davis Ken Christensen Tony Novio Dan Granger Dave Ryan Miguel and Holly Nat & Drew Jonny, Holly & Nira See omnystudio.com/listener for privacy information.

Last few Wed Pros Live tickets!Show notes:This week I spoke to Anshika Arora, a wedding industry expert and founder of a CRM platform, about why wedding professionals need to rethink how they show up for Gen Z couples, who now make up over 50% of the wedding market. We talked about how technology is transforming the wedding planning experience, from the need for more interactive and authentic communication on websites and social media to being upfront about pricing.Anshika's InstagramAnshika's LinkedInTime Stamps:02:00 - Transitioning into the Wedding Business Landscape03:26 - Understanding Gen Z in the Wedding Industry25:00 - Launching a New Conference: Becca's Journey39:54 - The Power of Networking in Business42:54 - Exploring Networking and Technology in WeddingsMentioned in this episode:DIY Advertising Kits from the I Do SocietyDo you want to start utilising paid ads, but unsure where to start? These DIY advertising kits form the I Do Society are here to help. Learn how to create Google Ads, Meta Ads or TikTok Ads for your wedding business or venue, with these easy to follow guides now. Use code BECCA for a discountDIY Advertising kits

Jeff Bellomo welcomes Mark O'Reilly of Shamrock Strategies Professional Coaching for an interesting conversation about what professional coaching is and how it works. As a coach, Mark creates a safe, confidential space that helps his clients maximize their potential by seeing their situation with fresh eyes.   Mark, who is Jeff's professional coach, points to different situations or transitions that might prompt someone to reach for support, especially when they feel stuck, alone, or unsure how to proceed. These situations often include career promotions, the weight of leadership, impending retirement, or even changes at home.  Coaching isn't about advice or quick fixes. Breakthroughs come from gaining clarity and new perspectives that enable you to set goals and move forward with confidence and enthusiasm.   If you want to explore whether coaching would be a good fit for you, contact Mark O'Reilly to learn more about the process and his free, no-obligation consults. Visit www.shamrockstrategiesllc.com   WHAT YOU NEED TO KNOW (00:00) Episode introduction: Mark O'Reilly  (02:25) Transitioning from manager to professional coach  (04:52) The creation of Shamrock Strategies  (06:02) What is coaching and how does it work?   (07:09) Coaching vs. therapy, mentoring, and consulting  (13:57) People who want to become a better version of themselves  (17:13) Coaching for team members and leaders  (19:21) Providing a safe, confidential space  (21:37) Working with multiple members of the same organization  (23:23) Coaching is an investment in people   (24:54) The value of holistic coaching   (28:10) Shamrock Strategies and free, no-obligation consults     ABOUT BELLOMO & ASSOCIATES Jeffrey R. Bellomo, the founder of Bellomo & Associates, is a licensed and certified elder law attorney with a master's degree in taxation and a certificate in estate planning. He explains complex legal and financial topics in easy-to-understand language. Bellomo & Associates is committed to providing education so that what happened to the Bellomo family doesn't happen to your family. We conduct free workshops on estate planning, crisis planning, Medicaid planning, special needs planning, probate administration, and trust administration. Visit our website (https://bellomoassociates.com/) to learn more.   LINKS AND RESOURCES MENTIONED Bellomo & Associates workshops:https://bellomoassociates.com/workshops/ Life Care Planning The Three Secrets of Estate Planning Nuts & Bolts of Medicaid For more information, call us at (717) 845-5390. Connect with Bellomo & Associates on Social Media Tune in Saturdays at 7:30 a.m. Eastern to WSBA radio: https://www.newstalkwsba.com/ X (formerlyTwitter):https://twitter.com/bellomoassoc YouTube: https://www.youtube.com/user/BellomoAssociates Facebook:https://www.facebook.com/bellomoassociates Instagram:https://www.instagram.com/bellomoassociates/ LinkedIn:https://www.linkedin.com/in/bellomoandassociates WAYS TO WORK WITH JEFFREY BELLOMO Contact Us:https://bellomoassociates.com/contact/ Practice areas:https://bellomoassociates.com/practice-areas/    

Councilwoman Joann Ariola calls into the show to discuss her relationships with figures like Julie Menin and Adrienne Adams, as well as their influence in New York City's political landscape. Ariola highlights Menin's effectiveness as a city council speaker and reflects on Adams joining Kathy Hochul's ticket for re-election. Transitioning to the city's pressing issues, Ariola critiques Mayor Mamdani for inadequate responses to street homelessness, particularly during a cold snap that resulted in several deaths. Ariola argues for more proactive and compassionate measures, indicating a significant alignment among council members in holding the administration accountable. Learn more about your ad choices. Visit megaphone.fm/adchoices

One of the brains behind Duck Dynasty and Sons of Anarchy is here! In this conversation, Brad Holcman shares insights from their journey transitioning from a W-2 employee in the television industry to becoming an entrepreneur. They discuss the challenges faced, the importance of showing up and being proactive, and the lessons learned from both failures and successes. The conversation emphasizes the entrepreneurial mindset, the necessity of networking, and the value of storytelling in building a brand. The speaker also reflects on the importance of being ready to leap into entrepreneurship and the significance of continuous learning.As You Listen00:00 The Entrepreneurial Journey Begins 02:04 Transitioning from Employee to Entrepreneur 05:55 Challenges Faced in Entrepreneurship 10:51 The Importance of Showing Up 13:41 Lessons from Failure and Success   17:49 Inspiration from Historical Entrepreneurs 

Griffin Warner talk betting for Wednesday to include soccer and college basketball. Griffin Warner opened the February 11 edition of What I Bet by sweeping across a packed midweek card in European soccer and college basketball, isolating market movement, pricing inefficiencies, and situational angles before closing with a best bet and promotional offer. In England, Manchester City entered as a one and a half goal home favorite against Fulham, with notable juice shading toward the road side despite City's push to reestablish themselves in the title race. Warner pointed to City's scoring ceiling while acknowledging the volatility that accompanies backing a favorite capable of conceding a single goal and still jeopardizing margin coverage . Aston Villa, listed as a half goal favorite over Brighton, drew attention for total movement around two and a half, with discussion of a potential shift to two and three quarters and the value mechanics embedded in split totals . Nottingham Forest laid three quarters of a goal to Wolverhampton, one of the league's worst statistical profiles, with the total at two and a half leaning under in what projected as a low event match . Crystal Palace hosted Burnley as a one goal favorite in a matchup defined by offensive limitations and interest in the under two and a half . Sunderland caught three quarters of a goal at home to Liverpool, with Warner expressing skepticism toward Liverpool's form despite last season's title run . In Spain's Copa del Rey semifinal first leg, Athletic Club Bilbao sat a quarter goal favorite over Real Sociedad in a Basque rivalry expected to be physical and conservative, with the total at two and a quarter drawing under consideration . Italy's cup slate featured Bologna as a quarter goal favorite over Lazio in a single leg setting, with the total shaded over two but interest leaning toward the under and the underdog in a potentially cautious affair . In Germany, Bayern Munich were installed as one and three quarter goal favorites against RB Leipzig with a total of four, a number reflecting Bayern's dominant form and prior six nil result in the same venue . Transitioning to college basketball, Warner surveyed marquee matchups including Illinois at Maryland, USC at Ohio State, Florida at Georgia, Alabama at Mississippi, and Connecticut at Butler, highlighting scheduling dynamics, road splits, and coaching performance across conferences . He closed with a promotional code offering twenty percent off at Pregame.com before delivering his best bet, Tulane plus one at home against Temple, citing confidence in Tulane's home performance and skepticism toward Temple's current trajectory Learn more about your ad choices. Visit megaphone.fm/adchoices

Communication between EMS and ATs, details to consider when developing EAPs, and what can emergency responders and ATs learn from each other. We discussed these and many more with Marc WysockiTimestamps(12:22) Did previous AT experience help with transitioning into an emergency responder(14:18) How did becoming an emergency responder help with your practice as an AT(16:00) Are EAPs accessible to emergency responders(17:42) How has being an emergency responder helped with developing EAPs(20:10) How can we make responding easier for EMS(21:28) Transitioning care to EMS(23:17) EMS' familiarity with ATs(25:17) Would it be beneficial for an AT to add more emergency credentials(27:03) Educating EMS about ATs(29:00) Emergency training with EMSAction Item: What would you like ATs to know about emergency responders?--AT CORNER FACEBOOK GROUP: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.facebook.com/groups/atcornerpodcast⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram, Website, YouTube, and other links: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠atcornerds.wixsite.com/home/links⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠EMAIL US: atcornerds@gmail.comSAVE on ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Medbridge⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠: Use code ATCORNER to get $101 off your subscriptionWant to host a podcast like ours? Use our link to sign up for Zencastr, the service we use to record our interviews: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://zencastr.com/?via=atcorner⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Music: Jahzzar (betterwithmusic.com) CC BY-SA---Sandy & Randy

In this conversation, GWIC host Dr. Hemma R. Lomax and Shalini Rajoo explore the critical role of decision rubrics in governance, accountability, and trust, especially in the context of AI. Shalini shares her journey from law to compliance, emphasizing the importance of understanding systems and the impact of leadership on decision-making processes. They discuss how transparency and clarity in decision-making can build trust within organizations and the necessity of responsible AI governance. Practical tips for improving decision quality are also provided, highlighting the importance of self-awareness and critical thinking in leadership. Takeaways: The biggest risk in governance is unclear decisions. AI amplifies existing clarity or confusion in decision-making. Systems and rules reflect the identities of their architects. Everyone has an impact on those around them every day. Leadership is about improving the people around you. It's not just about rules; it's about how people behave. Decision rubrics provide consistency and predictability in outcomes. Transparency in decision-making processes builds trust. Slowing down to ask questions can lead to better decision-making. Writing down the reasons for decisions brings clarity and accountability. Sound bites: "Systems and rules are not inherently neutral." "Transparency in decision making builds trust." "Slow is smooth, and smooth is fast." Chapters: 00:00 Introduction to Decision Rubrics and Governance 02:55 Shalini's Journey: From Law to Governance 06:09 The Impact of Systems on Leadership and Accountability 09:09 Transitioning to Compliance and Ethics 11:49 Understanding Decision Rubrics in Compliance 15:06 The Role of Leadership in Decision Making 18:03 Designing Conditions for Effective Decision Making 20:47 The Importance of Transparency in Decision Processes 24:09 Decision Rubrics: Building Trust in Organizations 26:49 AI and Governance: Leadership Infrastructure Failures 29:47 Responsible AI: The Role of Ethics and Compliance 32:55 Practical Tips for Improving Decision Quality 36:00 Conclusion: The Future of Decision Making in AI Guest Biography: Shalini Rajoo is the Founder and Principal Consultant of Shalini Rajoo Advisory, LLC, where she partners with organizations to design governance, compliance, and decision-making systems that are resilient, trustworthy, and aligned to real operational pressures. Across more than two decades in law, compliance, HR, and organizational leadership, Shalini has helped companies and leaders move beyond check-the-box frameworks to build structures that embed accountability, clarity, and performance into everyday decisions. She began her career in South Africa, first as a public prosecutor and then leading regulatory work with the Department of Trade and Industry, collaborating with legislative and executive stakeholders on corporate, competition, and consumer law. After relocating to the U.S., Shalini practiced commercial litigation. She later served as Director of Global Business Conduct for a Fortune 500 company, where she redesigned ethics and compliance systems, led global risk assessments, and championed psychological safety and integrity-based practices. Today, Shalini's work centers on helping leaders clarify decision rights, governance architectures, and accountability pathways — especially as organizations adopt AI and automation. She recently spoke at the Opal Group's Corporate Governance & Ethics in the Age of AI conference, where she reframed AI governance as a leadership-infrastructure challenge rather than a purely technical or compliance one.

Luxuries for the Soulhttps://luxuriesforthesoul.comIn this conversation, Alexis and Felicia explore the fascinating world of numerology, focusing on the significance of personal and universal year numbers. They discuss the transition from the 9 universal year in 2025 to the 1 universal year in 2026, highlighting themes such as closure, new beginnings, and profound energetic shifts. They also touch on the impact of artificial intelligence on creativity and the importance of living a fulfilling life filled with purpose and kindness.TakeawaysNumerology is not just math; it's about understanding energies.The universal year influences global themes and personal experiences.2025 is a 9 universal year, signaling closure and emotional completions.Transitioning to a 1 universal year in 2026 brings new beginnings.Personal year calculations are based on birth date and universal year.Intuition should be backed by data analysis.Numbers communicate messages from the universe.Curiosity drives personal growth and healing.Chapters02:17 Understanding the Universal Year and Its Impact05:04 The Significance of 2025: A Year of Closure07:42 Navigating Change: The Role of AI in a Nine Year10:00 Transitioning to 2026: A Year of New Beginnings12:27 Personal Year Calculations: Understanding Your Journey36:18 Exploring Personal Years in Numerology57:09 Patterns and Repetition in Life01:06:21 Exploring Spiritual Modalities01:19:02 Current Inspirations01:20:23 Setting Boundaries and Drama01:23:09 The Empath's Journey01:24:15 Comforts and Intentions01:25:43 Hopes and Dreams for the Future01:28:46 Living a Well-Lived LifeConnect with Felicia Bender: https://feliciabender.comVisit Luxuries for the Soulhttps://luxuriesforthesoul.com

Cameron discusses the critical role of practice owners in managing their medical practices effectively. He emphasizes the importance of accountability, understanding financial metrics, and making data-driven decisions rather than relying on feelings. He also highlights the need for effective marketing strategies and the transition from being a practice owner to a CEO and investor in the practice. The conversation aims to empower practice owners to take control of their business and achieve financial success.Listen In!Thank you for listening to this episode of Medical Millionaire!Takeaways:The biggest problem in practice management is often the practice owner themselves.Accountability is crucial for financial freedom and practice success.Relying on feelings rather than data can lead to poor business decisions.Understanding financial metrics is essential for evaluating practice performance.Marketing strategies should be data-driven to effectively grow the practice.Transitioning from practice owner to CEO requires a focus on numbers and strategy.Investing in business education and consulting can enhance practice management skills.Effective communication with patients about services can drive sales.Practices should analyze their service distribution to identify growth opportunities.Becoming an investor in your practice is key to long-term success.Medical Millionaire: The Blueprint for Scaling a World-Class Medical Aesthetics PracticeWelcome to Medical Millionaire, the go-to podcast for forward-thinking Medspa owners, Medical Aesthetics leaders, Plastic Surgery & Dermatology practices, Concierge Wellness clinics, and Elective Healthcare entrepreneurs who are ready to scale with intention and operate like a true, high-performing business.If you're building, growing, optimizing, or preparing to exit your aesthetics or wellness practice, this show is your competitive advantage.Hosted by Cameron Hemphill Your Guide to Sustainable, Scalable Growth Your host, Cameron Hemphill, is one of the most trusted growth strategists in Medical Aesthetics and Elective Wellness.With over 10 years in the industry, Cameron has helped scale 1,000+ practices and more than 2,300 providers, working alongside the most recognized KOLs, national brands, EMRs, tech companies, and private equity groups, shaping the future of aesthetics. From marketing to operations, from finance to leadership, Cameron brings a real-world, data-driven perspective on what it takes to turn a practice into a powerful business engine.What This Podcast Is All About: Each episode takes you behind the scenes of the fastest-growing practices in the country, revealing the systems, strategies, and mindset required to win in today's Medical Aesthetics landscape.Expect tactical insights, step-by-step frameworks, and conversations with:Industry thought leadersTop injectors & medical directorsEMR & tech innovatorsOperations expertsMarketing strategistsPrivate equity & M&A advisorsWellness and longevity pioneersThis is where aesthetics, business, technology, and wellness converge. What You'll Learn on Medical Millionaire Every week, you'll access expert guidance to help you scale profitably and predictably, including:Marketing & Brand PositioningCRM + Lead Management SystemsPatient Acquisition & ConversionEMR Optimization & Tech Stack ArchitectureSales Psychology & Consultation MasteryFinance, KPIs, and Practice EconomicsOperational Workflows & AutomationIndustry Trends Backed by Real Benchmark DataPatient Retention & Lifetime Value ExpansionMindset, Leadership & Team DevelopmentWhether you're opening your first location or running a multi-million-dollar enterprise, you'll gain the clarity and direction to grow with confidence. A Show Designed for Every Stage of Practice Growth Medical Millionaire breaks down the journey into four essential stages, showing you exactly how to move from one to the next:Startup – Build the foundation and attract your first wave of patientsGrowth – Scale revenue, expand services, and strengthen operationsOptimize – Increase efficiency, margins, and customer experienceExit – Prepare your practice for maximum valuation and acquisitionIf You're Ready to Grow, This Is Where You Start. Tune in weekly for actionable insights, expert interviews, and the exact playbooks high-performing practices use to dominate their markets. This is the podcast for Medspa owners who want more than a job; they want a scalable, profitable, industry-leading business. Welcome to Medical Millionaire.Let's build your practice into the empire it deserves to be.

In this episode of the Warner Brothas Podcast, the hosts dive deep into J. Cole's latest album, discussing its themes, standout tracks, and how it ranks among his previous works. They also explore J. Cole's legacy in hip hop, comparing him to contemporaries like Kendrick Lamar and Drake. The conversation shifts to college basketball, focusing on the potential of Darren Peterson and the implications of his attitude on his career. Finally, the hosts analyze the recent NBA brawl involving Isaiah Stewart, highlighting his unique fighting spirit and role in the league.00:00 Introduction and Context Setting02:24 J. Cole's New Album Discussion05:40 Album Reviews and Personal Favorites11:47 Themes and Messages in J. Cole's Work17:47 Legacy and Impact of J. Cole23:55 Final Thoughts and Future of J. Cole25:49 The Big Three and Their Counterparts27:19 J. Cole's Legacy and Impact29:19 Drake's Evolution and Current State32:24 The Big Four: Future's Role in Hip-Hop37:06 Transitioning to College Basketball38:03 Darren Peterson: The Next Big Thing?41:09 Comparing Prospects: Peterson vs. DeBansa49:20 The Enigma of Kawhi Leonard50:49 NBA Brawls: The Pistons and Hornets IncidentFOLLOW THE BROTHAS ONInstagram -https://www.instagram.com/warnerbrothaspodcast/TikTok - https://www.tiktok.com/@thewarnerbrothaspodcastFacebook - https://www.facebook.com/warnerbrothaspodcastX - https://x.com/warnerbrospodYouTube - https://www.youtube.com/@thewarnerbrothaspodcast

 #102: In this episode of Reckoning, Britt sits down with returning guest Trev Trifaux of Compass Grid Labradors for an incredible recap of his unforgettable fall hunting season in Canada. Over 57 days in the field, Trev filled 8 tags across multiple species—including elk, moose, black bear, cinnamon bear, whitetail deer, and more—using both archery and rifle. Trev shares the full story behind: Bowhunting black bears at 17 yards Taking a moose at 72 yards with his bow Harvesting a cinnamon bear at 80 yards Tagging his first whitetail Pursuing elk and deer in remote terrain Balancing long hunts, travel, and recovery Preparing mentally and physically for extended seasons Learning long-distance shooting later in life Staying aligned with personal values in the hunting and outdoor industry We also dive into how last year's experiences shaped this season's success, what techniques he changed, and how discipline, patience, and preparation helped him go farther and hunt longer than ever before. This honest, real conversation also touches on brand alignment, content creation, and keeping the focus where it belongs—on ethical hunting, field care, and respect for the animal. Plus, Britt and Trev catch up, reflect on past seasons, and share behind-the-scenes stories from life in the field. If you love real hunting stories, bowhunting, western and Canadian big game adventures, and conversations about integrity in the outdoor space, this episode is for you. Get the show notes HERE! Chapters:  00:00 Introduction and Setting the Scene 02:04 The Hunting Journey Begins 04:50 Challenges and Triumphs in the Field 07:37 The Bear Hunt Experience 10:25 Reflections on Bear Hunting 13:18 Transitioning to Moose Hunting 16:08 The Moose Encounter and Shot 18:58 Post-Hunt Reflections and Meat Processing 21:32 The Cinnamon Bear and New Experiences 23:44 Choosing the Perfect Mount 26:17 The Joy of Taxidermy and Family 27:06 Hunting Challenges and Learning Experiences 29:04 The Thrill of the Hunt: Elk and Deer 32:40 Whitetail vs. Mule Deer: A Taste Test 36:02 Hunting Strategies and Lessons Learned 38:42 The Importance of Patience in Hunting 41:23 Tree Stand Adventures and Relationship Tests 46:06 The Elk Hunt: A Rewarding Experience 48:22 The Joy of the Hunt 51:12 Shooting Techniques and Equipment 55:37 Gear That Makes a Difference 57:22 Branding and Personal Values 01:02:29 Future Aspirations and Growth Get our FAVORITE links, codes & more here! EPISODE MENTIONS:  Follow Trev on Instagram Watch the show on YouTube HERE Submit your favorites at thereckoningpodcast.com/submit OLLIN for the best digiscoping systems out there use code: RECKONING for 10% OFF SHOP HERE SHEEPFEET for custom orthotics, the best hunting shoe and the hideout hoodie use code: RECKONING for 10% OFF SHOP HERE MTN OPS for the best supplements and gear. Use code BRITT for 20% OFF your order! RUGGED ROAD COOLER GET 10% OFF your lightweight and organized cooler here or USE CODE: LONG  Have Reckoning create content for your brand, learn more HERE! Follow Us on Social:  Brittney Long IGReckoning IG Affiliate Disclaimer.  Show Notes may contain affiliate links. If you click through my referral link, at no additional cost to you, I may earn a small commission if you make a purchase.  Thank you for supporting RECKONING LLC.

If you have brain fog, fatigue, or fatty liver even though you eat well this one gene might explain everything.In this episode of The Natural Health Podcast, Mihaela Raguz explores the PEMT gene a critical but often overlooked gene involved in fat metabolism, liver function, brain health, and methylation.You'll learn how low PEMT gene activity can contribute to symptoms like fatigue, brain fog, mood changes, digestive issues, and non-alcoholic fatty liver disease (NAFLD) even in lean individuals. Mihaela explains why choline demand increases when PEMT function is reduced, how this impacts bile production and neurotransmitters, and why diet plays a key role in supporting genetic expression.This episode breaks down the science behind PEMT, its connection to methylation pathways, and practical dietary strategies including eggs, liver, and choline-rich foods to support optimal liver and cognitive health.If you're interested in genetics, functional medicine, holistic health, or unexplained fatigue and brain fog, this episode is essential listening.00:00 Introduction to The Natural Health Podcast01:00 Transitioning to DNA and Genetic Health01:58 Understanding the PEMT Gene04:33 Lipid Health and Brain Function08:26 Liver Function and Fat Metabolism11:49 Symptoms of Low PEMT Function13:44 Dietary Considerations for PEMT Gene16:52 Research Insights on PEMT Gene22:15 Conclusion and Future TopicsTakeawaysThe PEMT gene is crucial for fat metabolism and liver functionLow PEMT function can lead to cognitive issues and fatigueDiet plays a vital role in managing genetic healthCholine is essential for neurotransmitter production and brain healthBile production is necessary for fat digestion and absorptionSymptoms of low PEMT function include digestive issues and mood swingsResearch links PEMT gene insufficiency to non-alcoholic fatty liver diseaseEggs and liver are excellent sources of choline for those with PEMT issuesMethylation is critical for the proper functioning of the PEMT geneLet's Connect on✅Instagram https://www.instagram.com/TheNaturalHealthPodcast✅Facebook https://www.facebook.com/TheNaturalHealthPodcast--------------------Music Song: Joakim Karud - Thank You (Vlog No Copyright Music)Music provided by Vlog No Copyright Music.Video Link: https://youtu.be/o4RybjThnEo --------------------The content and information provided here is the opinion of Mihaela Raguz and is for informational purposes only. It is not intended to provide medical advice or take the place of medical advice or any current treatment you are undertaking. It is advised that you consult your doctor or health professional in relation to any health concerns you may have. Mihaela Raguz does not take responsibility for any health consequences which occur from a person viewing or reading this content. Please note if you are taking prescription do not stop your medication or start any new protocol including but not limited to supplements, diet, lifestyle changes without consulting your doctor or health professional.--------------------

In this episode of the Connect Podcast, Cole and Pam Phillips discuss how to grow through the various seasons couples experience in marriage. They share personal stories about their own marriage journey, including the challenges of early marriage, the importance of communication, and the commitment to stay together through difficult times. They emphasize the significance of understanding the different seasons of marriage, from the honeymoon phase to the struggles of winter, and offer advice for newlyweds on building a strong foundation based on faith and covenant love.TakeawaysMarriage is central to family and community.Seasons in marriage are normal and should be acknowledged.Social media can create unrealistic comparisons in relationships.It's important to communicate openly about struggles in marriage.Covenant love reflects the commitment of Jesus to the church.Pre-marital counseling is crucial for understanding marriage.Words spoken in marriage can have lasting impacts.Couples should prioritize their relationship amidst busy lives.It's essential to set boundaries for family activities.Perseverance in marriage leads to deeper commitment.Keywordsmarriage, relationships, rooted romance, seasons of marriage, faith, community, commitment, communication, newlyweds, loveChapters00:00 Introduction to Rooted Romance01:57 Celebrating Victories in Faith and Community03:53 Understanding Seasons of Marriage07:51 Navigating the Honeymoon Phase15:59 Transitioning into Parenthood19:51 The Busy Summer Season29:38 Recognizing the Fall Season34:46 Persevering Through Winter38:33 Advice for Newlyweds44:46 The Importance of Covenant Love

Today we sit with Anshu Ahuja, the founder of DabbaDrop, to explore how she took inspiration from the traditional Dabbawala system to cater to a modern, busy but conscious audience. We talk about how over the past 7 years she has spent building a 7-figure values-led meal delivery business rooted in culture, community, and sustainability. (0:00) Introduction(5:00) Anshu's childhood and upbringing(13:30) The ethos of DabbaDrop(20:25) Transitioning from TV to entrepreneurship (23:00) I didn't have a grand plan(31:35) How DabbaDrop works(34:50) The research behind the regions(41:25) How zero-waste is achieved(43:32) Aspirations for expansion(52:17) What Anshu is currently excited about(53:35) A key learning from 7 years in business(55:55) What does Anshu have strong game in?Find DabbaDrop on: Website: https://dabbadrop.co.uk/Instagram: https://www.instagram.com/dabbadrop/

In this episode of the #SBM30 Alumni Series, we sit down with Kade Davis, a proud graduate of the SBM Class of 2022. From navigating high school during the COVID-19 pandemic to her current success in Business Ivy, Kade's story is a powerful example of resilience and the SBM Legacy.In this episode of the #TMC30 Alumni Series, we sit down with Kade Davis, a proud graduate of the SBM Class of 2022. From navigating high school during the COVID-19 pandemic to her current success in Business Ivy, Kade's story is a powerful example of resilience and the SBM Legacy.Tune in as our hosts explore her inspirational journey, her time at KSBM Radio, and the advice she has for current students striving for excellence.

In this episode of the #TMC30 Alumni Series, we sit down with Kade Davis, a proud graduate of the SBM Class of 2022. From navigating high school during the COVID-19 pandemic to his current success in Business Ivy, Kade's story is a powerful example of resilience and the SBM Legacy.

Enroll in RevUP Academy: https://thecustomersuccesspro.com/revupIn this episode of the Customer Success Pro Podcast, host Anika Zubair speaks with Alon Ahronberg, VP of Customer Success at Atera. They discuss the transition from a product-led growth model to a sales-led growth model, the importance of redefining customer success roles, and the implementation of proactive customer journeys. Alon shares insights on enhancing customer adoption, the significance of re-onboarding customers, and the role of AI in shaping the future of customer success. The conversation emphasizes the need for strategic leadership and project management in scaling customer success teams effectively.Chapters:00:00 Introduction03:14 Transitioning from Product-Led to Sales-Led Growth05:54 The Importance of Customer Success in Tech09:03 Building a Proactive Customer Success Organization11:57 Defining Roles in Customer Success14:47 Implementing Customer Journeys and Health Scoring17:48 Enhancing Customer Adoption and Value21:12 Re-Onboarding Customers for Success23:52 The Role of AI in Customer Success27:02 Challenges in Scaling Customer Success Teams30:02 Lessons Learned from Moving Upmarket32:46 Final Thoughts and Quickfire QuestionsConnect with Anika Zubair:Website: ⁠https://thecustomersuccesspro.com/⁠LinkedIn:  ⁠https://www.linkedin.com/in/anikazubair/⁠RevUP Academy: ⁠https://thecustomersuccesspro.com/revup⁠Connect with Alon Ahronberg: https://www.linkedin.com/in/alon-ahronberg/Grab our FREE resources here: ⁠https://thecustomersuccesspro.com/resources⁠Want to be our next podcast guest? Apply here: ⁠https://www.thecustomersuccesspro.com/podcast-guest⁠Book Anika as a speaker at your next team event: ⁠https://www.thecustomersuccesspro.com/team-event

Cory Sherman, Founder of Safety Systems Management (SSM), is a pioneering entrepreneur and safety management professional based in Newnan, Georgia. Cory has over 13 years in the construction and safety management industry.  He earned a Bachelor of Science in Construction Management from Georgia Southern University and a Master of Science in Safety, Security, and Emergency Management from Eastern Kentucky University.  Additionally, Cory is a Certified Safety Professional (CSP) as well as a Construction Health and Safety Technician (CHST) from the Board of Certified Safety Professionals. Cory established Safety Systems Management in 2016 while working full-time for top General Contactors.  Despite humble beginnings of working on prototypes out of his garage, Cory's relentless commitment to innovation saw him develop and patent the Mobile Communications Tower, showcasing his ingenuity and dedication to construction safety technology.  Transitioning to full-time entrepreneurship in 2023, Cory has steered SSM to become a leading provider of safety solutions.  With unwavering dedication to excellence, Safety Systems Management has a reputation for delivering comprehensive safety services, safeguarding lives, and driving organizational success.

In this episode of For the 23%, host Dielle speaks with Ellen Yin, an entrepreneur who transitioned from a social media manager to a successful business owner. They discuss the importance of sales calls, the evolution of Ellen's coaching business. Ellen shares insights on brand partnerships, the challenges of scaling a media business, and the significance of intuition in making business decisions. The conversation emphasizes the need for consistency in content creation and the importance of understanding one's goals in entrepreneurship. 00:00 Introduction to the Podcast and Guest 02:34 The Art of Sales Calls 04:53 Ellen's Journey from Social Media Manager to Entrepreneur 10:04 Building a Coaching Business 15:14 Transitioning to a Media Company 19:58 Navigating Brand Partnerships and Sponsorships 24:54 The Importance of Intuition in Business Decisions 30:05 Challenges of Scaling a Media Company 34:49 The Role of Content Quality and Consistency 40:10 Final Thoughts and Advice for Entrepreneurs For the 23% is the women of color business and entrepreneurship podcast hosted by multi-million-dollar entrepreneur Dielle Charon. Each week you'll learn how to grow your sales, money, and freedom so we can increase the 23% of business owners who are women of color. Website: forthe23percent.com Instagram: @forthe23percent Membership: forthe23percent.com/membership

Transitioning from an ultraprocessed food diet to a real food diet is intimidating and can be frustrating. We share our expert tips to store food so it lasts weeks instead of days and how to ensure it actually tastes good. And keep scrolling for your free food storage e-book (use the coupon code) and a link to Marian's meal plan! Connect with Amy:  Coupon Code: EASYFOODSOLUTIONS   Store: https://thehiddenconsumer.com/products-list Items: Basics: Cookbook Sampler Tips for Food Storage   Marian's Meal Plans:  https://www.roadtolivingwhole.com/meal-plans/   Coaching with Marian:  https://www.roadtolivingwhole.com/meal-plans-for-therapeutic-diets/  

In this episode of the Manufacturing Culture podcast, host Jim Mayer speaks with George Pesansky, a global authority on operational excellence. They discuss the importance of workplace culture, the need for systems over people in problem-solving, and the leadership gaps in manufacturing. George shares insights from his extensive experience in various work cultures and his transition to nonprofit work, emphasizing the value of donating talent. The conversation also touches on performance improvement, preventing employee burnout, and the future of work, highlighting the significance of respect and trust in the workplace.TakeawaysCulture represents the norms in a workplace.Understanding workplace culture is crucial for success.Problems are often system problems, not people problems.Leadership gaps exist in manufacturing due to poor promotion practices.Cultural differences impact how work is done.Transitioning to nonprofit work can be fulfilling and impactful.Identifying performance issues requires understanding the system.Super performance focuses on celebrating wins, not just fixing failures.Performance reviews should focus on extending periods of success.Creating a respectful work environment is essential for employee retention.Chapters00:00 Introduction to Operational Excellence04:09 Understanding Culture in the Workplace05:47 Leadership Gaps in Manufacturing12:39 Cultural Differences Across Regions14:31 Transitioning to Nonprofit Work17:11 Identifying Performance Issues20:31 Defining Super Performance vs. Hustle Culture26:08 The Prison of Expectations31:13 Operational Excellence and Employee Empowerment36:02 Rebuilding Trust Through Excellence39:47 The Value of Donating Talent45:17 Envisioning the Future of Work

Stephanie Mehta never chased the CEO title. She chased the story. She built her career in some of the toughest newsrooms in the world, including The Wall Street Journal, Bloomberg, Fortune, and Vanity Fair, where credibility is earned line by line. Those same instincts eventually carried her beyond the newsroom and into leadership, leading her to the CEO seat at Mansueto Ventures, the company behind Fast Company and Inc. In this episode, Stephanie joins Ilana to share her journey from journalism student to leading iconic media brands, the challenges of stepping into executive leadership, and how to prioritize as a leader in an ever-changing industry. Stephanie Mehta is a journalist, business executive, and CEO and chief content officer of Mansueto Ventures, the media company that publishes Fast Company and Inc. magazines. She has held senior editorial roles at Fortune, Bloomberg, and Vanity Fair. In this episode, Ilana and Stephanie will discuss: (00:00) Introduction  (02:52) Stephanie's Early Career in Journalism (05:16) Challenges and Growth at the Wall Street Journal (10:35) Transitioning to Fortune Magazine (17:38) Reflecting on 14 Years at Fortune  (22:42) Taking a Break and Exploring New Opportunities (27:18) Becoming the CEO of Fast Company (35:37) How to Get Stories Published in Major Media (39:11) Rising Above the Noise in Business (42:01) How Stephanie Prioritizes as a CEO (45:26) How Careers are Changing in the Modern Era (49:31) The Impact of Immigrant Upbringing Stephanie Mehta is a journalist, business executive, and CEO and chief content officer of Mansueto Ventures, the media company that publishes Fast Company and Inc. magazines. She previously served as Editor-in-Chief of Fast Company and held senior editorial roles at Fortune, Bloomberg, and Vanity Fair. Stephanie is also the author of the Modern CEO newsletter, where she explores leadership, careers, and the future of work. Connect with Stephanie: Stephanie's LinkedIn: linkedin.com/in/stephanie-mehta-media-ceo  Resources Mentioned: Modern CEO Newsletter: https://www.fastcompany.com/section/modern-ceo  Leap Academy: LeapCon is the #1 Conference for Reinvention, Leadership & Career — a powerful 3‑day experience designed to help you unlock what's next in your career and life.

#118.Josh sits down for a quickfire episode with John Adler, the Vice President of Culinary at Blue Apron, now part of the Wonder platform. They discuss John's massive transition from the high-precision world of fine dining at restaurants like Per Se and Franny's to managing supply chains for millions of meals at Blue Apron. John opens up about the operational complexities of the Wonder acquisition, negotiating contracts for three million pounds of chicken, and the future of robotic kitchens.The conversation moves into the Quickfire round where John shares the best dish he ever ate at a tiny grotto in Italy and gives flowers to the underrated chef Juan Cuevas. He explains why truffle oil should be banned from every kitchen and challenges cooks to be more creative with food waste like herb stems and bread crusts. John recounts a harrowing kitchen disaster involving a plastic deli container melting onto a French cooktop at Per Se. Finally, he breaks down his exact, science-backed method for the perfect grilled cheese sandwich.Links and resources

Back to Where It All Begins: The Journey of Dr. Jason HauaIn this episode of The Pediatric Lounge podcast, hosts George and Jason introduce Dr. Jason Haua, who shares his unique career story of moving from leading a large, successful independent practice back to solo practice, focusing on mental health and autism. Dr. Haua discusses the importance of finding joy and fulfillment in medical practice, the challenges and benefits of running a smaller practice, and his reasons for stepping away from a larger organizational structure. The conversation explores the intricacies of managing a solo practice, dealing with insurance and administrative challenges, and the importance of maintaining a positive work culture. Dr. Haua also shares insights on legacy planning, practice efficiency, and the evolving landscape of pediatric care.00:00 Introduction to The Pediatric Lounge01:00 Meet Dr. Jason Haua: A Journey Back to Solo Practice01:42 The Philosophy of Returning to Solo Practice03:24 Building and Managing a Successful Practice07:17 Challenges and Rewards of Mental Health Focus08:30 Operational Efficiency in a Small Practice16:10 Transitioning from Large Group to Solo Practice20:36 The Role of Technology and Personal Touch39:46 Future Plans and Legacy41:44 Balancing Work and Personal Life42:44 Challenges of Starting a Medical Practice44:43 Financial Struggles in Pediatrics46:27 The Cost of Medical Equipment and Supplies48:21 Navigating Insurance and Billing Issues01:13:07 The Role of Optimism in Professional and Personal Life01:15:31 Conclusion and Final ThoughtsSupport the show

Since 2026 is the 250th birthday of America, and I'm reading books about the American Revolution, I thought it made sense to ask Army Athletic Director Tom Theodorakis to join HEA for a conversation. Theo shares what it feels like every day at West Point and why it is such a special place. I asked him what perspective he gets from working at different institution types, including P4 schools, another military academy, and even The Ivy League at Harvard. The conversation turns to outlining his vision going into his second year in the AD chair. We discuss what it takes to put on an Army/Navy game and what it will take to keep it from being changed as the College Football Playoff dates continue to change. It's safe to say the game won't be in July. Theo explains how Army has to continue to think about what college athletics looks like at their institution since they do not do House, NIL, and the transfer portal is not the same for them. He also communicates what athletics means at West Point and what the future leaders of our nation's Army learns from the experience, including failure and trying to build up muscle memory of winning in tough situations. HEA is presented by PILYTIX, an AI tech company for higher education institutions and sports organizations. Increased Donations. Fast, Effective Targeting. Improved Performance.AD Vantage empowers athletic directors with comprehensive staff data, performance analytics, and AI-powered candidate insights to make smarter hiring, compensation, and retention decisions in an era where every dollar counts.Onrise provides complete mental health Coverage for your Athletes. One call. Same-day setup. Your athletes get immediate access to peer support from retired pros, licensed clinicians, and 24/7 crisis care. Less than one in-house FTE. No hiring hassles. No initiative fatigue.0:00 Introduction0:40 Experiencing West Point Daily as AD1:55 Perspective from Army, Harvard, UCLA, Arizona, Air Force6:52 Transitioning from 1st Year to 2nd Year as AD11:20 Visit Onrise.CARE for Mental Health Athlete Care12:20 What it takes to put on the Army/Navy Game18:45 How do you protect the Army/Navy Game Date?22:00 Institutional Collaboration at West Point27:05 Deciding to complete a Doctorate in Education31:35 Aspirational Advice: Get out of your Comfort Zone

You've felt that little twinge of fear at some point, right? We're here to remind you that even the most successful people feel it too, so you're definitely not alone!Fear of failure stops more progress than almost any external obstacle, and it often disguises itself as procrastination, perfectionism, or avoidance.In this episode, #1195, George and Mary-Lynn explore why fear of failure shows up, how it operates beneath the surface, and what to do when it keeps you stuck.You'll learn the difference between fixed and growth mindsets, why confidence comes after action, and five practical steps to break the fear cycle.BIGG Takeaways:Fear of failure is a common struggle that even the most successful people experience, so you're not alone.A growth mindset can transform your approach to challenges and help you see failures as learning opportunities.By taking small, actionable steps, you can build confidence and break the cycle of fear and procrastination.Tracking what you learn from both successes and failures can lead to faster growth and stronger confidence.BIGG Chapters[00:13] Confronting Fear of Failure[03:08] Understanding Mindsets: Fixed vs Growth[04:35] Breaking the Fear Cycle[07:59] Overcoming Fear and Building Confidence[10:14] Transitioning from Fear to ActionLinks referenced in this episode:Life Map CourseFollow our podcastJoin our newsletter

Could Georgia really eliminate property taxes? In this episode of 'Saturdays with Sandra,' Sandra Parrish sits down with Representative Rick Jasperse to discuss a groundbreaking bill that could revolutionize homeownership in Georgia. They explore the challenges, potential solutions, and the impact on cities, counties, and schools. Plus, hear from KSU’s Cale McDaniel on his journey from Pickens County to leading KSU’s track and field program, and get a sneak peek at the Valentine’s Day play 'Love Letters' at the Blue Ridge Community Theater. Follow us on Facebook and Instagram or download our app to stay connected! Saturdays with Sandra www.1011thepulse.com ios App Android App Advertise with Us Chapters:00:00 Introduction and Banter01:15 Representative Rick Jaspers on Eliminating Property Taxes04:47 Challenges and Solutions for Cities and Schools07:13 Transitioning to a Consumption Tax10:31 Cale McDaniel’s Journey from Pickens to KSU14:00 KSU’s Track and Field Success18:43 Valentine’s Day Play 'Love Letters' Preview23:25 Planning Your Next Vacation with ColleenSee omnystudio.com/listener for privacy information.

In episode 67 of Going anti-Viral, Dr Martin Hirsch joins host Dr Michael Saag to discuss his career in HIV medicine, mentorship, and his scientific legacy. Dr Hirsch is a Professor Emeritus at Harvard Medical School and was Director of the Harvard Collaborative AIDS Treatment Evaluation Unit from 1986 to 2003 and Director of the Harvard Multidisciplinary AIDS Research Training Grant. Dr Hirsch's research focused on finding drug combinations that delay the development of multidrug resistance and reduce viral replication in HIV-1 infection. Dr Hirsch served as an Editorial Board member for numerous prestigious medical journals over the past 3 decades, including AIDS, the New England Journal of Medicine, Clinical Infectious Diseases, and the Journal of Infectious Diseases, where he was Editor-in-Chief. Dr Hirsch discusses his extensive career, the evolution of antiviral therapies, and the importance of mentorship in science. He reflects on his early experiences, the emergence of HIV, and the collaborative efforts that led to advancements in treatment. Dr Hirsch emphasizes the need for individualized mentorship and shares insights on the future of HIV research and his optimism for the potential of HIV prophylactic treatments.0:00 – Introduction1:50 – Early career and mentorship5:07 – Transitioning to HIV research7:55 – The emergence of antiretroviral therapies11:06 – The AIDS epidemic and initial cases14:30 – Collaboration in HIV research17:42 – The AZT trial and its impact20:16 – Navigating the shift from CMV to HIV22:39 – Antiretroviral resistance and combination therapy26:39 – The role of mentorship in science30:56 – Future directions in HIV researchResources:Going-anti-Viral: Episode 6 - A Conversation With Dr Anthony Fauci __________________________________________________Produced by IAS-USA, Going anti–Viral is a podcast for clinicians involved in research and care in HIV, its complications, and other viral infections. This podcast is intended as a technical source of information for specialists in this field, but anyone listening will enjoy learning more about the state of modern medicine around viral infections. Going anti-Viral's host is Dr Michael Saag, a physician, prominent HIV researcher at the University of Alabama at Birmingham, and volunteer IAS–USA board member. In most episodes, Dr Saag interviews an expert in infectious diseases or emerging pandemics about their area of specialty and current developments in the field. Other episodes are drawn from the IAS–USA vast catalogue of panel discussions, Dialogues, and other audio from various meetings and conferences. Email podcast@iasusa.org to send feedback, show suggestions, or questions to be answered on a later episode.Follow Going anti-Viral on: Apple Podcasts YouTubeXFacebookInstagram...

What if the recipe for success was a blend of mindset, words, and a pinch of creativity? Shahira Marei, founder and CEO of Dirty Cookie, reflects on her journey from a scarcity mindset to one of abundance, revealing how this shift not only changed her personal outlook but also fueled the remarkable growth of her business.  Through her unique and innovative company known for its delicious “cookie shots,” Shahira has transformed the cookie experience. Her cookies, presented in edible shot glasses, add a unique twist to traditional treats, making them a popular gift. As a result of her dedication to creating meaningful and unforgettable gifts, Shahira's brand has achieved significant success and recognition. In this episode of The Greatness Machine, Darius sits down with Shahira Marei to explore her fascinating journey of transforming her mindset and achieving remarkable success with her innovative business, Dirty Cookie. Shahira also explores how a shift from a scarcity mindset to one of abundance and positivity has played a pivotal role in her entrepreneurial success. Topics include: Shahira's journey to entrepreneurship and founding Dirty Cookie Shahira reflects on becoming a finalist on Shark Tank  The benefits of influencer marketing for brands The story and inspiration behind the name “Dirty Cookie” Understanding the Dunning-Kruger effect The importance of surrounding yourself with the right team The impact of manifestation and a strong support system on success Transitioning from a scarcity mindset to an abundance mindset Harnessing the power of words to shape reality And other topics… Connect with Shahira: Website: https://www.dirtycookie.com/  LinkedIn: https://www.linkedin.com/in/shahira-marei-a609b319  Instagram: https://www.instagram.com/thedirtycookieoc/  Connect with Darius: Website: https://therealdarius.com/ Linkedin: https://www.linkedin.com/in/dariusmirshahzadeh/ Instagram: https://www.instagram.com/imthedarius/ YouTube: https://therealdarius.com/youtube Book: The Core Value Equation https://www.amazon.com/Core-Value-Equation-Framework-Limitless/dp/1544506708 Write a review for The Greatness Machine using this link: https://ratethispodcast.com/spreadinggreatness.  Learn more about your ad choices. Visit megaphone.fm/adchoices

Notes Matthew 17:1-9 Exodus 24:12-18 2 Peter 1:16-21 Chapters 00:00 Introduction to Transfiguration Sunday 05:31 Exploring the Transfiguration of Jesus 12:02 The Significance of Transfiguration Sunday 20:35 The Role of Festivals in Worship 27:21 Transitioning into Lent 30:01 The Encounter with Moses in Exodus 39:35 Understanding 2nd Peter and Its Context Summary In this episode of the Pulpit Fiction Podcast, hosts Eric Fistler and Rob McCoy delve into the significance of Transfiguration Sunday, exploring the biblical texts from Matthew, Exodus, and 2nd Peter. They discuss the importance of transformation in faith, the role of festivals in worship, and the transition into Lent. The conversation highlights the need for churches to balance sacred spaces with active ministry in the community, emphasizing the call for believers to be transformed by their faith and to recognize the presence of God in their lives. Takeaways Transfiguration Sunday is a pivotal moment in the Christian calendar. The stories of the Transfiguration of Jesus and Moses are foundational to understanding faith. Transformation is a key aspect of the Christian experience. Churches must balance worship with active community engagement. The significance of festivals in the church calendar should not be overlooked. Lent is a time for reflection and transformation. The encounter with God often requires a response of action. Understanding the context of biblical texts enriches their meaning. The call to discipleship involves both personal and communal aspects. Recognizing God's presence in our lives is essential for spiritual growth.  

Send us a textIn this episode of The Riley Black Project, John and Crystal sit down with Becky of Get On Board Signs & More for a heartfelt, practical, and surprisingly funny conversation about community, creativity, resilience, and building a business that fits real life.Becky shares her journey from kindergarten teacher to creative entrepreneur, running mobile sign parties, opening a brick-and-mortar studio, navigating COVID pivots, and even walking through a cancer journey while continuing to show up for her customers and community.This episode covers:Transitioning from teaching to entrepreneurshipPivoting during COVID with DIY kits, virtual parties, and mobile workshopsOpening a studio and learning what actually worksWhy community support matters more than algorithmsRunning a business through illness and uncertaintyBuilding a studio model that works for families and real lifePaying yourself, setting systems, and avoiding burnoutWhy Facebook still matters for local small businessesThe value of in-person connection over faceless online ordersBalancing growth, joy, and sustainability as a creative business ownerThis is an honest look at what success really looks like when you stop chasing someone else's version of it and start building a business around your life, not the other way around.Support the showIf you enjoy our content, consider supporting us on Patreon!! You can check out the tier options and perks here: https://www.patreon.com/TheRileyBlackProjectCheck out my Linktree for my social media links & all the different things I have to offer! https://linktr.ee/RileyBlackWant more info on Aeon Lasers?? If so, show me some love by clicking on my partner link below and then hit the "Get Started" button! If you found my content helpful,and decided to call or DM instead, make sure to mention "Crystal Aguila" as the referral.

Step up to the plate and unlock the Brewers' secret to elite catching! In this episode of The Back Pick Podcast, host Brett Thomas sits down with Dallas Correa, the Milwaukee Brewers' modern lead catching coordinator, to uncover how they "control the chaos" and transform the way their catchers play. From mastering the mental fortitude required for the position to implementing cutting-edge catching techniques like the one-knee-down stance, this conversation is packed with insights designed to elevate your game.Dallas shares his journey from playing baseball in Hawaii to leading at the professional level, offering invaluable lessons on preparation, building confidence, and scaling elite-level training. Get an inside look at how the Brewers are revolutionizing drill work with game-speed training, purposeful variability, situational layering, and decision-making exercises that push catchers to excel under pressure. Learn about the importance of the transfer, the role of smooth and accurate footwork, and how the best catchers optimize their stance for throwing and blocking.Discover how team strategy, trust-building, and relentless preparation are the soul of baseball and key to mastering the catcher position. Whether you're a coach, a player, or a fan of the greatest position in all of sports, this episode offers a deep dive into the art and strategy of catching.Ready to take your game to the next level? Hit that subscribe button for more insights into the heart of baseball, and stay tuned as we bring you the tools to transform your skills behind the plate! Don't miss out—join us every other week as we celebrate the position that defines the game.Step up to the plate and unlock the Brewers' secret to elite catching! In this episode of The Back Pick Podcast, host Brett Thomas sits down with Dallas Correa, the Milwaukee Brewers' modern lead catching coordinator, to uncover how they "control the chaos" and transform the way their catchers play. From mastering the mental fortitude required for the position to implementing cutting-edge catching techniques like the one-knee-down stance, this conversation is packed with insights designed to elevate your game.CHAPTERS:00:00 - Intro01:25 - Growing up in Hawaii06:00 - Early coaching mistakes07:44 - Transitioning to pro ball10:09 - Training for game speed12:24 - Creating game-like situations16:22 - Experimenting with stances19:41 - Catchers' approach strategies23:36 - Transfer techniques for catchers29:14 - Catch Play drills32:54 - Hands lead the feet in baseball34:21 - Footwork fundamentals36:47 - Pregame routines for athletes38:40 - Physicality in pregame preparation45:00 - Game preparation strategies46:40 - Game calling training techniques48:00 - Baseball Bites: Milwaukee restaurant49:15 - Like & subscribe, see you in 2 weeks

What would your real estate career look like if you stopped learning and finally acted? In this episode of the Real Estate Excellence Podcast, Tracy Hayes sits down with Christina Swyers breaks down the mindset, systems, and discipline that transformed her from a brand-new agent into a multi-state real estate leader. She shares how she rebuilt her entire business after relocating 1,000 miles to Florida, proving that success follows those who take action, stay uncomfortable, and relentlessly meet new people. Her story reveals how the right network, the right brokerage, and the right habits can accelerate success faster than any lead source on the planet. Christina also opens up about the failures, fears, and high-risk decisions that shaped her into the confident entrepreneur she is today. From mastering social media to negotiating through chaos, she explains the psychology behind winning clients and the personal growth required to thrive in real estate. For any agent looking to scale, restart, or finally break through, this episode is a masterclass in the unsexy, daily work that builds a lasting business. If this episode gave you clarity, inspiration, or the push you needed, share it with another agent who needs to hear the truth about what real success really takes. And don't forget to subscribe to the show for more top-tier conversations with the industry's best.   Highlights 00:00:00–00:14:40 Christina's Journey, EXP, and Building a Career from Scratch Early career beginnings and misalignments Discovering EXP Realty's model and mission The role of her husband in pushing her into real estate Transitioning from traditional brokerages to cloud-based systems Why EXP appealed to her entrepreneurial mindset 00:14:40–00:27:55 The Power of Networks, Events, and Finding the Right Rooms How top producers leverage events and conferences Building referral networks through personal connections Learning to be "the dumbest person in the room" Accidental leadership and stepping into new roles Why agents fail when they isolate themselves 00:27:55–00:41:10 Choosing a Brokerage and Understanding Your Own Psychology How to evaluate whether a brokerage fits your goals The mindset differences between successful agents and failing agents Understanding your client avatar and personal tendencies Why self-awareness determines long-term success The psychology behind confidence and taking action 00:41:10–00:55:20 Relocating 1,000 Miles and Rebuilding a Business in 30 Days Moving to Florida and starting over with zero contacts Leveraging social media as a relocation engine Identifying feeder markets and lifestyle marketing opportunities Creating early traction through networking and collaboration Using brokerage tools and systems to jumpstart momentum 00:55:20–01:09:10 Social Media Engines, Referrals, and Modern Lead Generation Community spotlight videos and collaborating with businesses Turning Instagram and TikTok into conversation starters Capitalizing on referral relationships with agents nationwide Using DMs to build trust and convert followers to clients Repurposing content across multiple platforms for maximum reach 01:09:10–01:25:54 Negotiation Mastery, Mindset, and Becoming an Elite Agent Breaking down inspection reports into solvable buckets Managing emotions, expectations, and difficult personalities The importance of communication and attention to detail How experience shapes negotiation strategy and outcomes Solving bigger problems to earn bigger opportunities   Quotes: "You gain confidence by keeping promises to yourself." – Christina Swyers "Without people, we don't have a business — meet new people every single day." – Christina Swyers "Real estate is just the vehicle. The mindset and the mission are what drive everything." – Christina Swyers "The money we make is equal to the size of the problems we're willing to solve." – Christina Swyers   To contact Christina Swyers, learn more about his business, and make him a part of your network, make sure to follow him on his Website, Instagram, Facebook, TikTok, and YouTube.   Connect with Christina Swyers! Website: https://primelivingproperties.com Instagram: https://www.instagram.com/therealchristinaswyers/ Facebook: https://www.facebook.com/christinaswyers YouTube: https://www.youtube.com/@coastallivingwithchristina TikTok: https://www.tiktok.com/@therealchristinaswyers   Connect with me! Website: toprealtorjacksonville.com   Website: toprealtorstaugustine.com    SUBSCRIBE & LEAVE A 5-STAR REVIEW as we discuss real estate excellence with the best of the best.   #RealEstateExcellence #RealtorLife #RealEstatePodcast #ChristinaSwyers #TopAgentTips #RealEstateSuccess #EntrepreneurMindset #LeadershipInRealEstate #RealEstateTraining #RealEstateCoaching #RealtorNetworking #RealEstateMarketing #EXPRealty #SocialMediaForRealtors #NegotiationSkills #MindsetMatters #RealEstateInvesting #HomeBuyingTips #RealEstateCareer #GrowthMindset

This lecture delves into the narrative found in Matthew chapter 8, where the focus is on the inclusive nature of Jesus' ministry as he performs three significant healings. The speaker, Leif, sets the stage by reflecting on personal anecdotes and communal experiences, emphasizing the importance of vulnerability and honesty as they explore themes of ostracization, power dynamics, and the unseen within the community.Beginning with a humorous reflection on the challenges of public speaking and personal experiences that evoke frustration, Leif introduces a critical examination of the passage following the Sermon on the Mount. He situates the healing stories of a leper, a centurion, and Peter's mother-in-law as thematic rather than chronological, arguing that they illuminate the essence of the Kingdom of God, where belonging is paramount and society's margins become the focal point of divine attention.The first story involves a man with leprosy, a poignant representation of social ostracism. Leif articulates that the leper's request for healing transcends mere physical ailment; it is a plea for restoration to community and worship, reflecting the deep isolation experienced due to societal norms around cleanliness. He expounds on the profound nature of Jesus' response—touching the leper, thereby defying cultural taboos and initiating an immediate restoration that symbolizes the Kingdom's inclusivity. This moment is a call to recognize those who feel marginalized today and encourages the audience to consider who in their lives may feel unwelcomed or alienated.Transitioning to the centurion's story, Leif addresses the dichotomy between power and humility. The centurion, a figure of authority, approaches Jesus not with demand, but in a posture of submission and faith. This interaction not only highlights Jesus' ability to heal from a distance but also serves as an indictment of the oppressive systems that can exist within societal hierarchies. Leif underscores that the centurion's faith is unmatched among the Israelites, challenging the audience to reconsider their perceptions of faith and authority, and to engage with the transformative potential of the Kingdom that invites everyone, regardless of societal status, to humble themselves before Jesus.The final healing, that of Peter's mother-in-law, epitomizes how Jesus sees and values those who are often overlooked. Leif reflects on how her healing goes beyond personal restoration; it leads to her immediate service, indicating that true restoration in the Kingdom also cultivates a desire to serve others. This narrative invites listeners to reflect on the often-unnoticed contributions of those around them, urging a recognition of the quiet but vital roles played by individuals within the church and society.Leif ties these stories together through the lens of practical application, suggesting ways attendees can embody the inclusive nature of the Kingdom in their own lives. By intentionally noticing and seeking to include marginalized individuals, inviting those with questions into dialogue, and valuing the contributions of the unseen, the community is encouraged to replicate Jesus' ministry of bringing healing and inclusivity where it is often least expected.Finally, he emphasizes the necessity for community members to be enterprising in their faith practices—being interruptible, actively listening to voices on the fringes, and widening their circles of engagement to ensure everyone feels seen and valued. The lecture concludes by calling for prayer and reflection on the community's role in carrying forth the Kingdom's work, ultimately inviting them into a partnership with Christ in fostering a space where love and belonging prevail.

Creative Supervision - Talking to Clients About Being a Trainee Counsellor In Episode 365 of the Counselling Tutor Podcast, your hosts Rory Lees-Oakes and Ken Kelly take us through this week's three topics: Firstly, in ‘Ethical, Sustainable Practice', we ask: when is it the right time to train as a supervisor? Rory and Ken, joined by Paul Cullen, explore motivations, timing, and expectations for moving into this advanced professional role. Then in ‘Practice Matters', Rory speaks with Sally-Anne Armitage, who returns to share creative supervision techniques that can enrich both supervisory and client practice. And finally, in ‘Student Services', Rory and Ken respond to a common concern from placement practitioners - how to talk to clients about being a trainee counsellor while maintaining confidence and clarity. When Is It the Right Time to Train as a Supervisor? [starts at 03:16 mins] Rory and Ken explore the motivations, readiness, and expectations around becoming a clinical supervisor, including when it is the right time to train as a supervisor. Key points discussed include: The decision to become a supervisor may stem from necessity, professional growth, or a desire to support others. Although UK ethical frameworks don't legally require formal training, professional standards are shifting toward qualification. BACP guidance suggests supervisors should have a minimum of two years post-qualification experience and 400+ hours of practice. Effective supervision involves understanding ethical standards, developmental models, and legal responsibilities. Transitioning from therapist to supervisor requires new skills and often a more directive stance. Paul Cullen shares his personal journey into supervision, highlighting the transformation and responsibilities it entails. Creative Supervision [starts at 37:00 mins] Rory speaks with Sally Ann Armitage about how incorporating creativity into supervision can bring depth and insight to the process. Key points from this conversation include: Creative supervision uses tools such as imagery, objects, and metaphor to explore supervisee dynamics and client relationships. Techniques like using cards, sand trays, or imagined roles help access material just beyond awareness. Creativity is a universal human capacity - not a test of artistic skill - and can ease defensiveness. These methods encourage richer supervision conversations and often lead to deeper emotional insight. Sally shares examples of how creative approaches brought clarity and transformation in her own practice. Practitioners are encouraged to explore creative methods gently and with supervision before introducing them to others. Talking to Clients About Being a Trainee Counsellor [starts at 1:01:54 mins] Rory and Ken address how to discuss your student status with clients while maintaining professional presence and self-assurance. Key points include: It is an ethical requirement to inform clients of trainee status - but how this is framed makes a difference. Using language like “placement counsellor” rather than “student” may reduce bias and increase trust. Clients are often more focused on their own concerns than on the practitioner's status. Confidence grows when students remember they were carefully assessed and deemed fit to practise. Placement provides strong layers of support: agency filtering, supervision, and ongoing training oversight. Framing this stage as the final phase of supervised professional development can reinforce your competence and role. Links and Resources Counselling Skills Academy Advanced Certificate in Counselling Supervision Basic Counselling Skills: A Student Guide Counsellor CPD Counselling Study Resource Counselling Theory in Practice: A Student Guide Counselling Tutor Training and CPD Facebook group Website Online and Telephone Counselling: A Practitioner's Guide Online and Telephone Counselling Course

Dennis Dodd joins host Doug Matthews to discuss the evolving landscape of collegiate basketball under the new revenue-sharing and NIL models, noting that while football commands the majority of the projected $20 million payouts, basketball programs must increasingly rely on third-party collectives and apparel deals to attract top talent like BYU’s AJ Dybantsa. The conversation highlights the current dominance of the Big 12 and Big Ten conferences and notes surprising success stories, such as Nebraska’s resurgence and the competitive parity seen in Big East matchups like UConn versus St. John’s. Transitioning to football, Dodd emphasizes a "survival of the fittest" mentality regarding conference realignment, reporting that North Dakota State is eyeing a move to the Mountain West to secure its future in the elite tier of the sport.See omnystudio.com/listener for privacy information.