Podcasts about your life

Click Below for Freeing Yourself From the Narcissist in Your Life https://tinyurl.com/mppxyba7   Click Below for Recovering and Healing After the Narcissist https://tinyurl.com/2s4janb7   Click Below for The Mental Health Radio News Network https://tinyurl.com/3j2ds9nb

Offense Is Building Fences in Your Life by Faith Promise Church

Reach Out: Please include your email and I will get back to you. Thanks!Sermon Link - YouTube - Mission and Marriageemersonk78@me.comExcel Still More Journal - AmazonNew GENESIS Daily Bible Devotional!Daily Bible Devotional Series - AmazonSponsors:  Spiritbuilding Publishers Website:  www.spiritbuilding.comTyler Cain, Senior Loan Officer, Statewide MortgageWebsites: https://statewidemortgage.com/https://tylercain.floify.com/Phone: 813-380-8487What is the Mission for Your Life? (Here's Mine)1. Discipline myself for God's work.2. Influence my family to love and serve God.3. Encourage and strengthen fellow believers.4. Reflect Christ's light into a dark and dying world.5. Worship God faithfully on Sunday and every day. EVERYTHING in my life answers to this mission. Including Marriage. Adam was given work to do, then a HELPER to accomplish the mission, not to distract from it or as a reprieve or separate life. Build your marriage as a tool to best accomplish the reason for which God has made you.

“It's rude to start the combat without shaking hands” The party recovers from battle and then stumbles into a fight with a handsy enemy.  Episode Artwork by Mike Broken Tusk Rising Cover Artwork by Shaun @shaunmakes Tales of Bob Cover Artwork by @CosmicAmazing Audio Production by Jessica Featuring: Mike as The GM Ashley as Aklep Jessica as Xankath Josh as Ivan Pavel as Luukallo — Need More Bob in Your Life?  Check out our other (NSFW) podcast, House of Bob Apple Podcasts Spotify — Support the Show: Patreon Merch Store Etsy Contact Us: Discord hobcast.com Twitter Instagram Facebook Email — Thank you so much to our current Patreon supporters! This podcast would not be possible without you. Bradley Brandon Christine Connor D Chan Dan Klip-Klop Detheros Elli Ethan Garbanzo Jessica C Jessica D Josh F Josh J Keith Mark Michael Padraig Pavel Ranger Sadie Sarah Scooter Shaka Team EAMONN The Pink Pastor Thomas Tom W Waffelpokalypse — Music by: Mike Hammockhttps://mikehammock.bandcamp.com/ Licensed under Creative Commons: By Attribution 4.0http://creativecommons.org/licenses/by/4.0/ Tales of Bob uses trademarks and/or copyrights owned by Paizo Inc., used under Paizo's Community Use Policy (paizo.com/communityuse). We are expressly prohibited from charging you to use or access this content. Tales of Bob is not published, endorsed, or specifically approved by Paizo. For more information about Paizo Inc. and Paizo products, visit paizo.com. The Quest for the Frozen Flame adventure path Book Two was written by Jessica Catalan. Learn more about your ad choices. Visit megaphone.fm/adchoices

Master Nick Eagle is the man who emerged when Nick Hawk could no longer live in darkness and pretend-- with the rest of this world -- that we are anything less than all-powerful and all capable. Seeking a different way, one that followed the light instead of the darkness, Nick Eagle truly entered the new path when he experienced a “Kundalini Awakening”—the life energy force surging up through him into the Nirvana state. He was never the same afterward. He shed all the falsity and excuses and dedicated himself to the pursuit of a worthy life, waking each day in a state of gratitude and awareness. Taking full responsibility for all of his actions and all that he manifested.Contact Master Nick Eagle:Nickeaglemystic.comInsta @thenickhawk Tik @nickeaglemysticDr. Kimberley LinertSpeaker, Author, Broadcaster, Mentor, Trainer, Behavioral OptometristEvent Planners- I am available to speak at your event. Here is my media kit: https://brucemerrinscelebrityspeakers.com/portfolio/dr-kimberley-linert/To book Dr. Linert on your podcast, television show, conference, corporate training or as an expert guest please email her at incrediblelifepodcast@gmail.com or Contact Bruce Merrin at Bruce Merrin's Celebrity Speakers at merrinpr@gmail.com702.256.9199Host of the Podcast Series: Incredible Life Creator PodcastAvailable on...Apple: https://podcasts.apple.com/us/podcast/incredible-life-creator-with-dr-kimberley-linert/id1472641267Spotify: https://open.spotify.com/show/6DZE3EoHfhgcmSkxY1CvKf?si=ebe71549e7474663 and on 9 other podcast platformsAuthor of Book: "Visualizing Happiness in Every Area of Your Life"Get on Amazon: https://amzn.to/4cmTOMwWebsite: https://linktr.ee/DrKimberleyLinertThe Great Discovery eLearning platform: https://thegreatdiscovery.com/kimberleyl

Are You a Part of What God Is Doing in Our Country Today? Do You Seek God's Presence in Your Life? MESSAGE SUMMARY: Can you tell what God is up to in the World, in our time, in our church, and in America? Are you a part of what God is doing in the world today, or are you just reacting to what God is doing, thereby, creating conflict and division? Psalms 105 reminds you of God's power in the world if you do seek His presence in your life: “Seek the Lord and his strength; seek his presence continually! Remember the wondrous works that he has done, his miracles, and the judgments he uttered.". On the other hand, Paul, in 1 Thessalonians 1:9, warns you of the implications for not including the presence of Jesus in your worldly considerations: “They will suffer the punishment of eternal destruction, away from the presence of the Lord and from the glory of his might.”. While the Lord is leading, and directing, it seems that we are wrapped up in our agenda and our way of doing things; therefore, we miss God's presence; and we miss the Holy Spirit in our lives.      TODAY'S PRAYER: Lord, everything in me resists following you into the garden of Gethsemane to fall on my face to the ground before you. Grant me the courage to follow you all the way to the cross, whatever that might mean for my life. And then, by your grace, lead me to resurrection life and power. In Jesus' name, amen.   Scazzero, Peter. Emotionally Healthy Spirituality Day by Day (p. 100). Zondervan. Kindle Edition. TODAY'S AFFIRMATION: Today, Because of who I am in Jesus Christ, I will not be driven by Loneliness. Rather, I will abide in the Lord's Presence. “I am the vine; you are the branches. If a man remains in Me and I in him, he will bear much fruit; apart from Me you can do nothing.” (John 15:5). SCRIPTURE REFERENCE (ESV): Matthew 5:6; Matthew 5:10; Psalms 112:1-6; Psalms 119b:13-24. A WORD FROM THE LORD WEBSITE: www.AWFTL.org. THIS SUNDAY'S AUDIO SERMON: You can listen to Archbishop Beach's Current Sunday Sermon: “Essentials Part 4 – One God, Not Three”, at our Website: https://awordfromthelord.org/listen/ DONATE TO AWFTL: https://mygiving.secure.force.com/GXDonateNow?id=a0Ui000000DglsqEAB

Today on the program, a trip into the archive and a return to Episode 863, my conversation with Yiyun Li from 2023. Yiyun Li is the author of several works of fiction—Wednesday's Child; The Book of Goose; Must I Go; Where Reasons End; Kinder Than Solitude; Gold Boy, Emerald Girl; The Vagrants; and A Thousand Years of Good Prayers—and the memoirs Things in Nature Merely Grow and Dear Friend, from My Life I Write to You in Your Life. She is the recipient of many awards, including a PEN/Faulkner Award, a PEN/Malamud Award, a PEN/Hemingway Award, a PEN/Jean Stein Book Award, a MacArthur Fellowship, and a Windham–Campbell Prize, and has been a finalist for the Pulitzer Prize. Her work has appeared in The New Yorker, A Public Space, The Best American Short Stories, and The PEN/O. Henry Prize Stories, among other publications. She teaches at Princeton University and lives in Princeton, New Jersey. Original air date: September 6, 2023. *** ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Otherppl with Brad Listi⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ is a weekly podcast featuring in-depth interviews with today's leading writers. This episode is sponsored by Ulysses. Go to ⁠⁠⁠⁠⁠⁠⁠⁠⁠ulys.app/writeabook⁠⁠⁠⁠⁠⁠⁠⁠⁠ to download Ulysses, and use the code OTHERPPL at checkout to get 25% off the first year of your yearly subscription." Available where podcasts are available: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Apple Podcasts⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Spotify⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠YouTube⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, etc. Get ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠How to Write a Novel,⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ the debut audio course from DeepDive. 50+ hours of never-before-heard insight, inspiration, and instruction from dozens of today's most celebrated contemporary authors. Subscribe to ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Brad's email newsletter⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠. ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Support the show on Patreon⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Merch⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Instagram⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠  ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠TikTok⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Bluesky⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠ Email the show: letters [at] otherppl [dot] com The podcast is a ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠proud affiliate partner of Bookshop⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠, working to support local, independent bookstores. Learn more about your ad choices. Visit megaphone.fm/adchoices

In this episode of Be the CEO of Your Life and Business, I sit down with Melissa Garcia — nationally recognized stylist, fashion expert, and former attorney.Melissa practiced law for ten years before making the courageous decision to leave the profession and build a career in fashion and media. Today, she's a regular contributor on The Today Show, all while raising three children and building her business from right here in Rockland County.We talk about what it really means to pivot when a career no longer fits, how faith and courage guide major life decisions, and why the skills you build in one chapter often become the foundation for the next. This conversation is about identity, confidence, risk, and intentionally designing a life that aligns with who you truly are.If you've ever felt the pull toward something more — but questioned whether you could actually make the leap — this episode is for you.You can find Melissa at https: www.melissagarciastyling.com and on Instagram at https://www.instagram.com/melissagarciastyling/

At our Special Interactive Youth Service, Pastor Femi Paul delivered a timely message titled The Story of Your Life, anchored in Psalm 32:3–8. We were reminded that God is not a distant observer but an active guide in our journey. He declares Himself our hiding place from every storm of life and promises not merely to watch our struggles, but to watch our progress. This distinction is powerful. God did not commit to monitoring our efforts alone; He guaranteed progress. Our advancement is supervised and secured by Him. The message further emphasised divine covering and divine direction. From financial, career, medical, relational, and marital storms, God remains our refuge. He surrounds us with songs of victory over attacks, plots, schemes, and betrayals. More importantly, He promises to guide us along the best pathway for our lives - a pathway of elevation, promotion, prosperity, and fulfillment. The best pathway is divine vantage positioning. When God leads your story, loss is not final and defeat is not permanent. With Him, progress is guaranteed. Confession: My progress is guaranteed by God. He guides me on the best pathway for my life.

It's time for another Review Roundup on The Genre of Your Life Podcast!Doug is back with rapid-fire reviews of Send Help and Shelter. Which one delivers the thrills? Which one falls short? And are either of them must-watch material?No spoilers — just honest reactions, sharp analysis, and straight-to-the-point recommendations.The Genre of Your Life is available on all your favorite podcast platforms and with a new episode every Friday. Don't forget to subscribe and leave a review to never miss an episode!Music by Richard Lewis from Pixabay

Amy Day is a Stanford-certified decision educator, counselor, and advisor with over 20 years of experience teaching whole-person decision-making. As co-founder and Executive Director of Clarity4Action.org, she helps people access their Decision Power—the ability to make thoughtful, intentional decisions that align with both their innovative logical mind and their wise, inspired heart. Amy has devoted her life to translating the science of great decision-making, and the best from brain research and cognitive psychology into practical tools anyone can use. She serves on the Board of the Society of Decision Professionals and is a sought-after speaker, advisor, and educator.Contact Amy Day:Clarity4Action.org Download: https://clarity4action.org/decision-clarity-blueprint/I'm also in the final edits of my book to come out next spring.https://www.linkedin.com/in/amy-day-b2324490/https://www.facebook.com/clarity4action/https://www.youtube.com/@clarity4action323Dr. Kimberley LinertSpeaker, Author, Broadcaster, Mentor, Trainer, Behavioral OptometristEvent Planners- I am available to speak at your event. Here is my media kit: https://brucemerrinscelebrityspeakers.com/portfolio/dr-kimberley-linert/To book Dr. Linert on your podcast, television show, conference, corporate training or as an expert guest please email her at incrediblelifepodcast@gmail.com or Contact Bruce Merrin at Bruce Merrin's Celebrity Speakers at merrinpr@gmail.com702.256.9199Host of the Podcast Series: Incredible Life Creator PodcastAvailable on...Apple: https://podcasts.apple.com/us/podcast/incredible-life-creator-with-dr-kimberley-linert/id1472641267Spotify: https://open.spotify.com/show/6DZE3EoHfhgcmSkxY1CvKf?si=ebe71549e7474663 and on 9 other podcast platformsAuthor of Book: "Visualizing Happiness in Every Area of Your Life"Get on Amazon: https://amzn.to/4cmTOMwWebsite: https://linktr.ee/DrKimberleyLinertThe Great Discovery eLearning platform: https://thegreatdiscovery.com/kimberleyl

Your Life is a Rental | Matthew 21:33-46 | Matthew 21-23 by Hunter Bible Church

If you've ever watched The Matrix and secretly wondered, ‘Am I in my own version of this?'—this episode is for you. In this episode of the Rose Woman Podcast, Christine sits down once again with Yasmeen Turayhi, host of Gateways to Awakening and author of A Glitch in the Matrix. She is also the founder of the Inner Knowing School of Intuition and Energy Mastery. She is an award-winning filmmaker, entrepreneur, and product marketing leader whose work bridges rigorous strategy with intuitive intelligence, helping executives and creatives make clearer decisions, create meaningful work, and lead with coherence rather than burnout.Together, they explore what it really means to wake up from the “manufactured reality” we've been conditioned into, moving from victimhood and external validation into agency, intuition, and main character energy in your own life. Yasmeen shares practical frameworks from her book: How to step out of old scripts, reclaim your energy, and future-script a life that's aligned with your deepest joy and purpose.Listen in now and begin rewriting the script of your own reality.In this episode, we cover so many topics, including:The Cultural and Philosophical Impact of the Film "The Matrix" The Matrix as a Modern InitiationThe Concept of "Pendulum Energy" by Vadim ZelandNature of Reality and How People Perceive the Same Events DifferentlyThe Importance of AcceptanceDisempowering Effects of VictimhoodCreativity and Non-attachment in Daily LifeThe Concept of Energy Leaks and ChakrasBuilding Inner Trust And Faith In Themselves Future Self-Scripting and Benefits of Manifestation10 Energy Mastery Codes for Becoming the Main Character of Your LifeThe Impact of Collective Energy and Focusing on the BestThe Importance of Personal GrowthHelpful links:Yasmeen Turayhi - Host of Gateways to Awakenings PodcastNEW BOOK - A Glitch In The Matrix: 10 Energy Mastery Codes for Becoming the Main Character of Your Life. Now Available on AmazonFor updates, follow her on LinkedIn.Subscribe to the Inner Knowing NewsletterReality Transurfing by Vadim ZelandMolecules Of Emotion: The Science Behind Mind-Body Medicine by Candace PertFind What Gives you Energy by Teal SwanViola RoseYour host:NEW Book by Christine: The Mystic Heart of Easter: A Four-Day Journey Through Love, Death, and Rebirth. Available on AmazonEaster Intensive: A Holy Week Journey with Christine Mason and Elizabeth Arolyn Walsh on April 2-5, 2025Bhakti House Immersion with Christine Mason and Adam Bauer, with Special Guests Christopher “Hareesh” Wallis and Peter Dawkins on May 17–27, 20262026 Living Tantra Online Course: An Introduction to Tantra, Neo Tantra and Sacred Sexuality, Starts March 10, 2026.Good Gathering Events at Sundari GardensBrought to you by Rosebud Woman, Award Winning Intimate and Body Care:Log in to the Rosebud Woman WebsiteThe Rosewoman Library: The Embodied Menopause & Intimacy LibraryBody Love Journal: The 9-Week Body Love JournalChristine Marie Mason+1-415-471-7010@christinemariemason@rosebudwomanFounder, Rosebud WomanCo-Founder, Radiant Farms and Sundari GardensHost, The Rose Woman on Love and Liberation: Listen, Like, Share & Subscribe on Apple Podcast | Google Podcasts | SpotifyNEW BOOK: The Mystic Heart of Easter: A Four-Day Journey Through Love, Death, and Rebirth. Available on AmazonThe Nine Lives of Woman: Sensual, Sexual and Reproductive Stages from Birth to 100, Order in Print or on KindleSubscribe: The Museletter on Substack Hosted on Acast. See acast.com/privacy for more information.

This week we are LIVE in Brighton with James Beard award-winning New York food writer, Tamar Adler to learn how to Feast On Your Life.Her latest book is the result of a deep depression that overwhelmed her after the publication of An Everlasting Meal, which is now widely seen as a modern classic. Feast on Your Life is a record of daily food delights that she wrote to find her way back to the light, and the result is an extraordinary, gentle reminder to look at the small things, to focus on life through the prism of food and find joy even in the darkness.Pop over to Gilly's Substack for Extra Bites of Tamar and Cooking the Books Live including a recipe for the green risotto from Tamar's food moments cooked up by Ingrid Wakeling and her team from Sussex Surplus. You can buy the book from the CTB shop at Bookshop.org by clicking here, and you can book tickets for the next CTB Live on March 10th here. Hosted on Acast. See acast.com/privacy for more information.

Scott Wendal - The Second Biggest Decision in Your Life by West Coast Baptist College

Text us a comment or question!If you're over 50, short on time, low on energy, and wondering how fitness is supposed to fit into an already full life… this episode is for you. Most people don't fail at fitness after 50 because they're lazy or unmotivated. They fail because they're trying to follow advice that was never designed for busy, tired adults with real responsibilities. In this episode, Coach Kevin breaks down a smarter, simpler approach to getting fit — one that builds strength, energy, and confidence without living in the gym. No extremes.No guilt.No 6-day-a-week programs. Just what actually works. In This Episode, You'll Learn:Why more gym time doesn't equal better results after 50What “busy and tired” really means — and why it's not your faultThe Minimum Effective Dose of fitness for real lifeWhy strength training matters more than cardio marathonsHow sleep, stress, and recovery affect results more than willpowerThe most common traps busy people fall into (and how to avoid them)How to reframe fitness as a system that supports your lifeWhat a realistic, sustainable approach to fitness after 50 looks like You don't need more time.You don't need more workouts.And you definitely don't need to live in the gym. You need a plan that respects your energy, your schedule, and your recovery —and still delivers results. Fitness after 50 should support your life, not drain it. 

Are you holding on too tightly to control, plans, or expectations? What if God is asking you to go with the flow instead?In this powerful and faith-filled episode of Your Life, Your Story – Rise Up, Jill O'Boyle speaks directly to the woman who does it all—and shares her Word of the Year for 2026: FLOW. It's an invitation to release control, surrender your agenda, and trust God's timing.Through scripture, personal stories, and a vivid zip-line analogy, Jill unpacks how pride, fear, and the need to hold everything together can quietly rob us of peace. If you're navigating burnout, uncertainty, or a season where God is calling you into something new, this message will meet you right where you are.Join us at The 8:28 Retreat:  February 27-28, 2026Send a textSubscribe to the Newsletter: Start creating a life you love. Sign up for Jill's weekly email and get practical tips, inspiration, and intentional steps delivered straight to your inbox—helping you move closer to the life you were made for! Discover Your Purpose at The 8:28 Retreat.Learn more about Jill O'BoyleGrab a copy of Jill's Co-Author Best Seller Book- Intuitive Goddess by Jill O'Boyle LET'S CONNECT Here To Help You, Let's Talk - Free 30 Minute Consultation CallLET'S GET SOCIALhttps://linktr.ee/JillOBoyleLinkedIn Profile

Harini Balachandar is a strategic leader with over two decades of cross-functional experience in project management, content development, and learning strategies. As a PMI Agile Certified Practitioner, she excels at optimizing workflows, driving operational excellence, and fostering collaboration across diverse teams. Harini is the founder of Nexus Diaries, a PR startup dedicated to elevating small businesses through enhanced media presence and authentic storytelling, helping entrepreneurs share their unique narratives and build meaningful connections with their audiences.With expertise in stakeholder management and data-driven decision making, Harini brings a methodical approach to both business challenges and strategic initiatives. Her unique ability to connect authentic storytelling with practical application creates lasting impact across organizations, transforming complex ideas into compelling narratives that educate and inspire.As a mother of two, Harini channels her strategic strengths into skill-based volunteering, serving as a Board Member at A Child's Light, a non-profit organization providing expedited mental health support for children who have experienced trauma. Her commitment to children's mental health and education earned her the Presidential Voluntary Service Award (Bronze 2024), recognizing her extensive volunteer work in empowering families and nurturing the next generation's wellness and growth.Contact Harini Balachandar:I would like for folks to support A Child's Light. Being a mom of two young kids, I can't imagine any kids going through such severe trauma and losing their childhood. We as adults are responsible for these vulnerable little humans. https://childslight.comI also would love to partner with tech startups through my concierge PR service. https://nexusdiaries.comDr. Kimberley LinertSpeaker, Author, Broadcaster, Mentor, Trainer, Behavioral OptometristEvent Planners- I am available to speak at your event. Here is my media kit: https://brucemerrinscelebrityspeakers.com/portfolio/dr-kimberley-linert/To book Dr. Linert on your podcast, television show, conference, corporate training or as an expert guest please email her at incrediblelifepodcast@gmail.com or Contact Bruce Merrin at Bruce Merrin's Celebrity Speakers at merrinpr@gmail.com702.256.9199Host of the Podcast Series: Incredible Life Creator PodcastAvailable on...Apple: https://podcasts.apple.com/us/podcast/incredible-life-creator-with-dr-kimberley-linert/id1472641267Spotify: https://open.spotify.com/show/6DZE3EoHfhgcmSkxY1CvKf?si=ebe71549e7474663 and on 9 other podcast platformsAuthor of Book: "Visualizing Happiness in Every Area of Your Life"Get on Amazon: https://amzn.to/4cmTOMwWebsite: https://linktr.ee/DrKimberleyLinertThe Great Discovery eLearning platform: https://thegreatdiscovery.com/kimberleyl

DisclaimerThis podcast represents the opinions of Your Life, Reset and guests to the show. The content here should not be taken as, or considered a substitute for, medical advice, diagnosis and/or treatment, for either yourself or others, including but not limited to individuals you may be treating. The content here is for informational purposes only, and because each person is unique, please consult your medical provider for any medical questions or if you have, or suspect you have, a medical problem. In no way does listening, reading, emailing or interacting on social media with our content establish a doctor-patient relationship.Views and opinions expressed in the podcast are our own and do not necessarily represent that of our places of work. While we make every effort to ensure that the information we are sharing is accurate, we welcome any comments, suggestions, or correction of errors.Privacy is of the utmost importance to us. Where appropriate, the people, places, and scenarios mentioned in the podcast may be changed to protect patient confidentiality.This podcast should not be used in any legal capacity whatsoever, including but not limited to establishing “standard of care” in a legal sense or as a basis for expert witness testimony. No guarantee is given regarding the results or accuracy of any statements or opinions made on the podcast.This entire disclaimer also applies to any guests or contributors to the podcast. Under no circumstances shall any guests or contributors to the podcast, or any employees, associates, or affiliates of Virta Health be responsible for damages arising from use of the podcast.If you find any errors in any of the content, please send a message through our form here: https://virtahealth.zendesk.com/hc/en-us/requests/newThis podcast is owned by Virta Health. The contents of Your Life, Reset and show notes are all copyrighted Virta Health. All posts, podcasts, and show notes that are distributed to the public for free can be re-distributed via hard copy or electronic copy for free ONLY if Virta Health is included as the acknowledged author within the actual media that is re-distributed.Your Life, Rest: privacy policy (link) and terms and conditions (link).

Bill Hendricks is the Executive Director of the Hendricks Center for Christian leadership at Dallas Theological Seminary. He is also the co-founder and president of the Global Center for Giftedness. In today’s Encouragement for You Podcast, Bill and host Don Hawkins discuss Bill’s book, The Person Called YOU: Why You're Here, Why You Matter & What You Should Do with Your Life.. Discover more Christian podcasts at lifeaudio.com and inquire about advertising opportunities at lifeaudio.com/contact-us.

In this episode of 'Your Life in America', host Stanford Lee interviews Sean Anthony Garvin, a prominent figure in the broadcasting industry. They discuss Sean's early life in Atlanta, his journey into media, the challenges he faced, and the creation of his own media company, Reach One Communications. Sean shares insights on the evolution of media, the importance of adaptability, and his aspirations for the future. The conversation also touches on personal interests, industry dynamics, and the significance of community support in the media landscape.Introduction: In the vibrant city of Atlanta, where music and entertainment collide, Sean Anthony Garvin has carved a niche for himself in the broadcasting industry. Known for his dynamic personality and diverse skill set, Sean shares his inspiring journey and insights into the world of media in a recent podcast episode with host Stanford K. Lee. Sean Anthony Garvin, originally from Atlanta, Georgia, grew up surrounded by the arts, thanks to his parents. His mother, Rhonda Williams, nurtured his interests, while his father, Rex Garvin, had a background in entertainment. As a child, Sean had aspirations of becoming various professionals, from an actor to a detective, even a hockey player despite not watching the sport. His mother's support in pursuing his interests, especially in the performing arts, laid the foundation for his future career.Sean's journey into broadcasting began when he was inspired by local radio personalities, particularly Arnel Star, a prominent figure in Atlanta's music scene. In 2003, while listening to a local radio station, Sean mustered the courage to call in and express his admiration. This led to an invitation to visit the studio, marking the beginning of his broadcasting career. At just 19 years old, he started as an intern at WRFG 89.3 FM, where he absorbed everything he could about the industry.Sean Anthony Garvin's journey from a young boy with big dreams to a respected figure in the media industry is a testament to the power of perseverance and passion. His story inspires aspiring broadcasters and creatives to embrace their journey, no matter the challenges they face. Key takeaways include the significance of mentorship, the value of diverse experiences, and the importance of following one's passion.Please follow FACEBOOK @Sean Garvey @HONEYmoviesandtv INSTAGRAM @seangarveyatl@honeymoviesapp @podcastfmnow           @reachonenetworkpodcast @beatbreakradio @mentalspacelive    @unempoymentcheckthepodcast  X @BeatBreakRadio   @PodcastFM1      TIKTOK @honeymoviesapp    @reachonecommunications FANBASE @REACHONECOMMUNICATIONS YOUTUBE @REACHONENETWORK www.youtube.com/@thementalspaceshow

Reach Out: Please include your email and I will get back to you. Thanks!emersonk78@me.comExcel Still More Journal - AmazonNew GENESIS Daily Bible Devotional!Daily Bible Devotional Series - AmazonSponsors:  Spiritbuilding Publishers Website:  www.spiritbuilding.comTyler Cain, Senior Loan Officer, Statewide MortgageWebsites: https://statewidemortgage.com/https://tylercain.floify.com/Phone: 813-380-8487The Miserable Middle is a place of uncertainty, of fickle joy, as the result of too much closeness and assimilation with the world. If we, even in part, live according to the world, then we are susceptible to the doubt and fear within it. Without full, complete, wholehearted commitment to Christ, any joy we build will be temporary, shallow, and within the confines of our own power. But God offers so much more! In Christ, entirely in Christ, there is eternal, deep, and founded in the power of the almighty God! How do we get there? Here are some things that can help.1) Pray for God's Help - and Believe He Will Provide It. 2) Identify your Mission - Why God Saved You. 3) Build your life around Time With God.4) Remove what Dulls your Spiritual Appetite.5) Tie Every Role in Your Life to Your Mission.6) Surround Yourself with People who are ALL IN.

“Consequences are Go” With the mission wrapped, the agents enjoy some well deserved downtime and prepare for the next mission. Episode Artwork by Jake ⁠@Javoc.bsky.social⁠ House of Bob Cover Artwork by ⁠@ShaunMakes⁠ Audio Editing by Jessica Colvin Sound Design by ⁠Astronomic Audio⁠ Music by ⁠Duke Albert⁠ Featuring: Jake as The General Manager Alex as Greb Cristina as Sandra Shen Jessica as Veronica — Need More Bob in Your Life?  Check out our other (SFW!) podcast, Tales of Bob Apple Podcasts Spotify — Support the Show: Patreon Contact Us: Discord TheHouseOfBob.org Bluesky Instagram Facebook Email — Thank you so much to our current Patreon supporters! This podcast would not be possible without you. Bradley Graham Brandon Knox Christine Braile Connor McColloch D Chan Dan Klip-Klop Detheros Elli Ethan Edwards Garbanzo Jessica  Jessica Colvin Josh Josh J Keith Haddad Mark Boykin Michael Michael Waldmeier Nathaniel Taylor Padraig Hegarty Pavel Lishin Ranger Eli Sadie Tucker  Sarah Eisele Scooter Emerson Shaka Jamal Team EAMONN  The Pink Pastor Thomas Kuhlmann Tom Wesley Triple Agents is an independent production by [author or publisher] and is not affiliated with Triangle Agency or Haunted Table, LLC. It is published under the Triangle Agency Third Party License. Triangle Agency is copyright Haunted Table, LLC. Learn more about your ad choices. Visit megaphone.fm/adchoices

Jim Damico is a US Peace Corps Education volunteer serving at a small rural school in Armenia. He is a native of Kansas City but since 2008, Jim has been doing volunteer teaching in Asia. First in Mongolia, but then with the Peace Corps in Thailand, Mongolia again, Nepal, and now Armenia. But over the years, Jim has had several careers: Mechanical Engineer, Physical Therapist, and lots of travel before he started teaching.Contact Jim DamicoAs a way of paying it forward for all the folks that have helped me along this Peace Corps journey, I've set up a website, WanderingTheWorld.com - All Things Peace Corps, to give tips and advice to PC applicants, invitees, and volunteers. I also have a monthly newsletter so folks can keep up to date with everything I add to the site.8. Social Media Site Profile links: Facebook LinkedIn Instagram X TikTokWebsite: https://wanderingtheworld.comFacebook: https://www.facebook.com/wanderingtheworld.facebookInstagram: https://www.instagram.com/wanderingtheworldcom/LinkedIn: https://www.linkedin.com/in/wanderingtheworld/Monthly Newsletter: https://wanderingtheworld.substack.comDr. Kimberley LinertSpeaker, Author, Broadcaster, Mentor, Trainer, Behavioral OptometristEvent Planners- I am available to speak at your event. Here is my media kit: https://brucemerrinscelebrityspeakers.com/portfolio/dr-kimberley-linert/To book Dr. Linert on your podcast, television show, conference, corporate training or as an expert guest please email her at incrediblelifepodcast@gmail.com or Contact Bruce Merrin at Bruce Merrin's Celebrity Speakers at merrinpr@gmail.com702.256.9199Host of the Podcast Series: Incredible Life Creator PodcastAvailable on...Apple: https://podcasts.apple.com/us/podcast/incredible-life-creator-with-dr-kimberley-linert/id1472641267Spotify: https://open.spotify.com/show/6DZE3EoHfhgcmSkxY1CvKf?si=ebe71549e7474663 and on 9 other podcast platformsAuthor of Book: "Visualizing Happiness in Every Area of Your Life"Get on Amazon: https://amzn.to/4cmTOMwWebsite: https://linktr.ee/DrKimberleyLinertThe Great Discovery eLearning platform: https://thegreatdiscovery.com/kimberleyl

Seeing your life clearly doesn't mean seeing it harshly.In this episode of Mindful Mondays, we explore how mindset and reframing shape not just how we think - but how our nervous system experiences the world.Many neurodivergent and highly sensitive people live with a loud inner commentary. Thoughts can feel convincing, critical, and fixed - yet thoughts are not facts.Together, we explore:* Growth mindset through a neurodivergent lens* Why reframing supports nervous system safety (not toxic positivity)* How meaning - not circumstances - shapes our experience* Why challenges often deepen, rather than diminish, a meaningful lifeDrawing on wisdom from thinkers and creatives including William James, Hugh Mackay, Tina Turner, Joan Rivers, Kurt Vonnegut, and Michael Jordan, this episode invites a gentler, truer way of seeing yourself.You'll also be guided through a reflective visualisation - The Gallery of Your Life - offering a new relationship with past moments, old judgments, and the stories you live inside.This is not about fixing yourself.It's about learning to see yourself in a way that supports you.Our Sponsors:

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Tom Logue - February 8th 2026 The kingdom of heaven belongs to the needy, the unwanted, and the desperate who keep showing up. This week, Tom continues our King and His Kingdom series in Matthew 20:1–16, where Jesus tells the parable of the workers in the vineyard. Through this story, Tom reveals both a window into the kingdom and a mirror for our hearts. The landowner represents a God who relentlessly goes out Himself, again and again, seeking people in need—not just the skilled or impressive, but the overlooked, unwanted, and desperate. Tom shows how this parable confronts our instinct to hide need, perform strength, and compare ourselves to others. The workers who waited all day did so because they were desperate—and the landowner pays them a full day's wage because God knows what we need and He is a generous provider. Grace, Tom reminds us, is never fair. God is never unfair except to Himself. The cross stands as the ultimate proof that heaven operates on a different scoreboard than earth—one that values hearts over resumes and humility over entitlement. This message invites us to stop pretending everything is fine, to bring our needs honestly before God, and to trust the King whose generosity far exceeds what we could ever earn. The question Jesus leaves us with is simple and searching: Are we jealous or joyful when God is gracious? Learn more about our church: https://restoredtemecula.church Follow us on Facebook: https://www.facebook.com/restoredtemecula and Instagram: https://www.instagram.com/restoredtemecula #Matthew20 #KingAndHisKingdom #Grace #Generosity #KingdomOfGod #GodIsGood #RestoredTemecula Share this message with someone who needs to hear it. Chapters (00:00:00) - Restored Church(00:00:35) - The King and His Kingdom(00:03:29) - The Rich Young Ruler and His Search for God(00:05:26) - Parables(00:07:18) - Jesus' Kingdom of Heaven Parable(00:11:26) - The story of a landowner and his workers(00:15:59) - The Real Need of the Church(00:21:35) - The Kingdom of God is for the Needy(00:25:24) - Where Do You Bring Your Needy Thoughts?(00:31:26) - The Need to Cover Up My Shame(00:36:07) - God Wants the Unwanted(00:41:14) - The Parable of Grace is Never Fair(00:43:55) - God is Never Unfair except to Himself(00:47:44) - The Last Will Be First and the First(00:52:24) - How is the Olympics scored?(00:52:58) - Jesus on His Kingdom of Heaven(00:58:50) - All the Scoreboards in Your Life(01:03:38) - Are You Jealous or Joyful?(01:09:03) - Prayers for the Homeless

In this episode of Be the CEO of Your Life and Business, I break down a simple but uncomfortable truth: I have been dramatically underestimating how much time I actually have each week. And you might be, too.We all get the same 168 hours. Yet so many of us operate from a constant state of “I don't have time.” In this episode, I walk through how to realistically look at your week, account for sleep, work, and obligations—and then confront what's left.This isn't about hustle or doing more. It's about changing your mindset around time, taking ownership of how you use it, and stopping the story that your life is too full to support your goals, health, or growth.If you've ever said “I just don't have the time,” this episode will challenge that belief—and give you a clearer, more honest way to think about your week.

Midway Avenue Productions Presents, The Genre of Your Life Podcast!Episode #98 | Episode 98 of The Genre of Your Life is a laid-back catch-up with Nick, Doug, and Moses as the guys check in, talk life, and ease back into the movie and TV convo. The episode features a non-spoiler discussion of Marvel Studios' newest Disney+ series, WONDER MAN—what works, what surprised them, and how it fits into the current state of the MCU. No hot takes, no spoilers—just a relaxed conversation with the crew!Hosted by:Doug Jones | Producer & EditorNicholas "Nick" Johnson | Executive ProducerMoses Lawi | Executive ProducerMusic by RODRIGO RK from PixabayLinks to our Social Media & WebsiteFollow us on Social Media!YouTube: MidwayAvenueProductionsInstagram: @midwayavenueproductionsTikTok: @midwayavenueproductions

From Palantir and Two Sigma to building Goodfire into the poster-child for actionable mechanistic interpretability, Mark Bissell (Member of Technical Staff) and Myra Deng (Head of Product) are trying to turn “peeking inside the model” into a repeatable production workflow by shipping APIs, landing real enterprise deployments, and now scaling the bet with a recent $150M Series B funding round at a $1.25B valuation.In this episode, we go far beyond the usual “SAEs are cool” take. We talk about Goodfire's core bet: that the AI lifecycle is still fundamentally broken because the only reliable control we have is data and we post-train, RLHF, and fine-tune by “slurping supervision through a straw,” hoping the model picks up the right behaviors while quietly absorbing the wrong ones. Goodfire's answer is to build a bi-directional interface between humans and models: read what's happening inside, edit it surgically, and eventually use interpretability during training so customization isn't just brute-force guesswork.Mark and Myra walk through what that looks like when you stop treating interpretability like a lab demo and start treating it like infrastructure: lightweight probes that add near-zero latency, token-level safety filters that can run at inference time, and interpretability workflows that survive messy constraints (multilingual inputs, synthetic→real transfer, regulated domains, no access to sensitive data). We also get a live window into what “frontier-scale interp” means operationally (i.e. steering a trillion-parameter model in real time by targeting internal features) plus why the same tooling generalizes cleanly from language models to genomics, medical imaging, and “pixel-space” world models.We discuss:* Myra + Mark's path: Palantir (health systems, forward-deployed engineering) → Goodfire early team; Two Sigma → Head of Product, translating frontier interpretability research into a platform and real-world deployments* What “interpretability” actually means in practice: not just post-hoc poking, but a broader “science of deep learning” approach across the full AI lifecycle (data curation → post-training → internal representations → model design)* Why post-training is the first big wedge: “surgical edits” for unintended behaviors likereward hacking, sycophancy, noise learned during customization plus the dream of targeted unlearning and bias removal without wrecking capabilities* SAEs vs probes in the real world: why SAE feature spaces sometimes underperform classifiers trained on raw activations for downstream detection tasks (hallucination, harmful intent, PII), and what that implies about “clean concept spaces”* Rakuten in production: deploying interpretability-based token-level PII detection at inference time to prevent routing private data to downstream providers plus the gnarly constraints: no training on real customer PII, synthetic→real transfer, English + Japanese, and tokenization quirks* Why interp can be operationally cheaper than LLM-judge guardrails: probes are lightweight, low-latency, and don't require hosting a second large model in the loop* Real-time steering at frontier scale: a demo of steering Kimi K2 (~1T params) live and finding features via SAE pipelines, auto-labeling via LLMs, and toggling a “Gen-Z slang” feature across multiple layers without breaking tool use* Hallucinations as an internal signal: the case that models have latent uncertainty / “user-pleasing” circuitry you can detect and potentially mitigate more directly than black-box methods* Steering vs prompting: the emerging view that activation steering and in-context learning are more closely connected than people think, including work mapping between the two (even for jailbreak-style behaviors)* Interpretability for science: using the same tooling across domains (genomics, medical imaging, materials) to debug spurious correlations and extract new knowledge up to and including early biomarker discovery work with major partners* World models + “pixel-space” interpretability: why vision/video models make concepts easier to see, how that accelerates the feedback loop, and why robotics/world-model partners are especially interesting design partners* The north star: moving from “data in, weights out” to intentional model design where experts can impart goals and constraints directly, not just via reward signals and brute-force post-training—Goodfire AI* Website: https://goodfire.ai* LinkedIn: https://www.linkedin.com/company/goodfire-ai/* X: https://x.com/GoodfireAIMyra Deng* Website: https://myradeng.com/* LinkedIn: https://www.linkedin.com/in/myra-deng/* X: https://x.com/myra_dengMark Bissell* LinkedIn: https://www.linkedin.com/in/mark-bissell/* X: https://x.com/MarkMBissellFull Video EpisodeTimestamps00:00:00 Introduction00:00:05 Introduction to the Latent Space Podcast and Guests from Goodfire00:00:29 What is Goodfire? Mission and Focus on Interpretability00:01:01 Goodfire's Practical Approach to Interpretability00:01:37 Goodfire's Series B Fundraise Announcement00:02:04 Backgrounds of Mark and Myra from Goodfire00:02:51 Team Structure and Roles at Goodfire00:05:13 What is Interpretability? Definitions and Techniques00:05:30 Understanding Errors00:07:29 Post-training vs. Pre-training Interpretability Applications00:08:51 Using Interpretability to Remove Unwanted Behaviors00:10:09 Grokking, Double Descent, and Generalization in Models00:10:15 404 Not Found Explained00:12:06 Subliminal Learning and Hidden Biases in Models00:14:07 How Goodfire Chooses Research Directions and Projects00:15:00 Troubleshooting Errors00:16:04 Limitations of SAEs and Probes in Interpretability00:18:14 Rakuten Case Study: Production Deployment of Interpretability00:20:45 Conclusion00:21:12 Efficiency Benefits of Interpretability Techniques00:21:26 Live Demo: Real-Time Steering in a Trillion Parameter Model00:25:15 How Steering Features are Identified and Labeled00:26:51 Detecting and Mitigating Hallucinations Using Interpretability00:31:20 Equivalence of Activation Steering and Prompting00:34:06 Comparing Steering with Fine-Tuning and LoRA Techniques00:36:04 Model Design and the Future of Intentional AI Development00:38:09 Getting Started in Mechinterp: Resources, Programs, and Open Problems00:40:51 Industry Applications and the Rise of Mechinterp in Practice00:41:39 Interpretability for Code Models and Real-World Usage00:43:07 Making Steering Useful for More Than Stylistic Edits00:46:17 Applying Interpretability to Healthcare and Scientific Discovery00:49:15 Why Interpretability is Crucial in High-Stakes Domains like Healthcare00:52:03 Call for Design Partners Across Domains00:54:18 Interest in World Models and Visual Interpretability00:57:22 Sci-Fi Inspiration: Ted Chiang and Interpretability01:00:14 Interpretability, Safety, and Alignment Perspectives01:04:27 Weak-to-Strong Generalization and Future Alignment Challenges01:05:38 Final Thoughts and Hiring/Collaboration Opportunities at GoodfireTranscriptShawn Wang [00:00:05]: So welcome to the Latent Space pod. We're back in the studio with our special MechInterp co-host, Vibhu. Welcome. Mochi, Mochi's special co-host. And Mochi, the mechanistic interpretability doggo. We have with us Mark and Myra from Goodfire. Welcome. Thanks for having us on. Maybe we can sort of introduce Goodfire and then introduce you guys. How do you introduce Goodfire today?Myra Deng [00:00:29]: Yeah, it's a great question. So Goodfire, we like to say, is an AI research lab that focuses on using interpretability to understand, learn from, and design AI models. And we really believe that interpretability will unlock the new generation, next frontier of safe and powerful AI models. That's our description right now, and I'm excited to dive more into the work we're doing to make that happen.Shawn Wang [00:00:55]: Yeah. And there's always like the official description. Is there an understatement? Is there an unofficial one that sort of resonates more with a different audience?Mark Bissell [00:01:01]: Well, being an AI research lab that's focused on interpretability, there's obviously a lot of people have a lot that they think about when they think of interpretability. And I think we have a pretty broad definition of what that means and the types of places that can be applied. And in particular, applying it in production scenarios, in high stakes industries, and really taking it sort of from the research world into the real world. Which, you know. It's a new field, so that hasn't been done all that much. And we're excited about actually seeing that sort of put into practice.Shawn Wang [00:01:37]: Yeah, I would say it wasn't too long ago that Anthopic was like still putting out like toy models or superposition and that kind of stuff. And I wouldn't have pegged it to be this far along. When you and I talked at NeurIPS, you were talking a little bit about your production use cases and your customers. And then not to bury the lead, today we're also announcing the fundraise, your Series B. $150 million. $150 million at a 1.25B valuation. Congrats, Unicorn.Mark Bissell [00:02:02]: Thank you. Yeah, no, things move fast.Shawn Wang [00:02:04]: We were talking to you in December and already some big updates since then. Let's dive, I guess, into a bit of your backgrounds as well. Mark, you were at Palantir working on health stuff, which is really interesting because the Goodfire has some interesting like health use cases. I don't know how related they are in practice.Mark Bissell [00:02:22]: Yeah, not super related, but I don't know. It was helpful context to know what it's like. Just to work. Just to work with health systems and generally in that domain. Yeah.Shawn Wang [00:02:32]: And Mara, you were at Two Sigma, which actually I was also at Two Sigma back in the day. Wow, nice.Myra Deng [00:02:37]: Did we overlap at all?Shawn Wang [00:02:38]: No, this is when I was briefly a software engineer before I became a sort of developer relations person. And now you're head of product. What are your sort of respective roles, just to introduce people to like what all gets done in Goodfire?Mark Bissell [00:02:51]: Yeah, prior to Goodfire, I was at Palantir for about three years as a forward deployed engineer, now a hot term. Wasn't always that way. And as a technical lead on the health care team and at Goodfire, I'm a member of the technical staff. And honestly, that I think is about as specific as like as as I could describe myself because I've worked on a range of things. And, you know, it's it's a fun time to be at a team that's still reasonably small. I think when I joined one of the first like ten employees, now we're above 40, but still, it looks like there's always a mix of research and engineering and product and all of the above. That needs to get done. And I think everyone across the team is, you know, pretty, pretty switch hitter in the roles they do. So I think you've seen some of the stuff that I worked on related to image models, which was sort of like a research demo. More recently, I've been working on our scientific discovery team with some of our life sciences partners, but then also building out our core platform for more of like flexing some of the kind of MLE and developer skills as well.Shawn Wang [00:03:53]: Very generalist. And you also had like a very like a founding engineer type role.Myra Deng [00:03:58]: Yeah, yeah.Shawn Wang [00:03:59]: So I also started as I still am a member of technical staff, did a wide range of things from the very beginning, including like finding our office space and all of this, which is we both we both visited when you had that open house thing. It was really nice.Myra Deng [00:04:13]: Thank you. Thank you. Yeah. Plug to come visit our office.Shawn Wang [00:04:15]: It looked like it was like 200 people. It has room for 200 people. But you guys are like 10.Myra Deng [00:04:22]: For a while, it was very empty. But yeah, like like Mark, I spend. A lot of my time as as head of product, I think product is a bit of a weird role these days, but a lot of it is thinking about how do we take our frontier research and really apply it to the most important real world problems and how does that then translate into a platform that's repeatable or a product and working across, you know, the engineering and research teams to make that happen and also communicating to the world? Like, what is interpretability? What is it used for? What is it good for? Why is it so important? All of these things are part of my day-to-day as well.Shawn Wang [00:05:01]: I love like what is things because that's a very crisp like starting point for people like coming to a field. They all do a fun thing. Vibhu, why don't you want to try tackling what is interpretability and then they can correct us.Vibhu Sapra [00:05:13]: Okay, great. So I think like one, just to kick off, it's a very interesting role to be head of product, right? Because you guys, at least as a lab, you're more of an applied interp lab, right? Which is pretty different than just normal interp, like a lot of background research. But yeah. You guys actually ship an API to try these things. You have Ember, you have products around it, which not many do. Okay. What is interp? So basically you're trying to have an understanding of what's going on in model, like in the model, in the internal. So different approaches to do that. You can do probing, SAEs, transcoders, all this stuff. But basically you have an, you have a hypothesis. You have something that you want to learn about what's happening in a model internals. And then you're trying to solve that from there. You can do stuff like you can, you know, you can do activation mapping. You can try to do steering. There's a lot of stuff that you can do, but the key question is, you know, from input to output, we want to have a better understanding of what's happening and, you know, how can we, how can we adjust what's happening on the model internals? How'd I do?Mark Bissell [00:06:12]: That was really good. I think that was great. I think it's also a, it's kind of a minefield of a, if you ask 50 people who quote unquote work in interp, like what is interpretability, you'll probably get 50 different answers. And. Yeah. To some extent also like where, where good fire sits in the space. I think that we're an AI research company above all else. And interpretability is a, is a set of methods that we think are really useful and worth kind of specializing in, in order to accomplish the goals we want to accomplish. But I think we also sort of see some of the goals as even more broader as, as almost like the science of deep learning and just taking a not black box approach to kind of any part of the like AI development life cycle, whether that. That means using interp for like data curation while you're training your model or for understanding what happened during post-training or for the, you know, understanding activations and sort of internal representations, what is in there semantically. And then a lot of sort of exciting updates that were, you know, are sort of also part of the, the fundraise around bringing interpretability to training, which I don't think has been done all that much before. A lot of this stuff is sort of post-talk poking at models as opposed to. To actually using this to intentionally design them.Shawn Wang [00:07:29]: Is this post-training or pre-training or is that not a useful.Myra Deng [00:07:33]: Currently focused on post-training, but there's no reason the techniques wouldn't also work in pre-training.Shawn Wang [00:07:38]: Yeah. It seems like it would be more active, applicable post-training because basically I'm thinking like rollouts or like, you know, having different variations of a model that you can tweak with the, with your steering. Yeah.Myra Deng [00:07:50]: And I think in a lot of the news that you've seen in, in, on like Twitter or whatever, you've seen a lot of unintended. Side effects come out of post-training processes, you know, overly sycophantic models or models that exhibit strange reward hacking behavior. I think these are like extreme examples. There's also, you know, very, uh, mundane, more mundane, like enterprise use cases where, you know, they try to customize or post-train a model to do something and it learns some noise or it doesn't appropriately learn the target task. And a big question that we've always had is like, how do you use your understanding of what the model knows and what it's doing to actually guide the learning process?Shawn Wang [00:08:26]: Yeah, I mean, uh, you know, just to anchor this for people, uh, one of the biggest controversies of last year was 4.0 GlazeGate. I've never heard of GlazeGate. I didn't know that was what it was called. The other one, they called it that on the blog post and I was like, well, how did OpenAI call it? Like officially use that term. And I'm like, that's funny, but like, yeah, I guess it's the pitch that if they had worked a good fire, they wouldn't have avoided it. Like, you know what I'm saying?Myra Deng [00:08:51]: I think so. Yeah. Yeah.Mark Bissell [00:08:53]: I think that's certainly one of the use cases. I think. Yeah. Yeah. I think the reason why post-training is a place where this makes a lot of sense is a lot of what we're talking about is surgical edits. You know, you want to be able to have expert feedback, very surgically change how your model is doing, whether that is, you know, removing a certain behavior that it has. So, you know, one of the things that we've been looking at or is, is another like common area where you would want to make a somewhat surgical edit is some of the models that have say political bias. Like you look at Quen or, um, R1 and they have sort of like this CCP bias.Shawn Wang [00:09:27]: Is there a CCP vector?Mark Bissell [00:09:29]: Well, there's, there are certainly internal, yeah. Parts of the representation space where you can sort of see where that lives. Yeah. Um, and you want to kind of, you know, extract that piece out.Shawn Wang [00:09:40]: Well, I always say, you know, whenever you find a vector, a fun exercise is just like, make it very negative to see what the opposite of CCP is.Mark Bissell [00:09:47]: The super America, bald eagles flying everywhere. But yeah. So in general, like lots of post-training tasks where you'd want to be able to, to do that. Whether it's unlearning a certain behavior or, you know, some of the other kind of cases where this comes up is, are you familiar with like the, the grokking behavior? I mean, I know the machine learning term of grokking.Shawn Wang [00:10:09]: Yeah.Mark Bissell [00:10:09]: Sort of this like double descent idea of, of having a model that is able to learn a generalizing, a generalizing solution, as opposed to even if memorization of some task would suffice, you want it to learn the more general way of doing a thing. And so, you know, another. A way that you can think about having surgical access to a model's internals would be learn from this data, but learn in the right way. If there are many possible, you know, ways to, to do that. Can make interp solve the double descent problem?Shawn Wang [00:10:41]: Depends, I guess, on how you. Okay. So I, I, I viewed that double descent as a problem because then you're like, well, if the loss curves level out, then you're done, but maybe you're not done. Right. Right. But like, if you actually can interpret what is a generalizing or what you're doing. What is, what is still changing, even though the loss is not changing, then maybe you, you can actually not view it as a double descent problem. And actually you're just sort of translating the space in which you view loss and like, and then you have a smooth curve. Yeah.Mark Bissell [00:11:11]: I think that's certainly like the domain of, of problems that we're, that we're looking to get.Shawn Wang [00:11:15]: Yeah. To me, like double descent is like the biggest thing to like ML research where like, if you believe in scaling, then you don't need, you need to know where to scale. And. But if you believe in double descent, then you don't, you don't believe in anything where like anything levels off, like.Vibhu Sapra [00:11:30]: I mean, also tendentially there's like, okay, when you talk about the China vector, right. There's the subliminal learning work. It was from the anthropic fellows program where basically you can have hidden biases in a model. And as you distill down or, you know, as you train on distilled data, those biases always show up, even if like you explicitly try to not train on them. So, you know, it's just like another use case of. Okay. If we can interpret what's happening in post-training, you know, can we clear some of this? Can we even determine what's there? Because yeah, it's just like some worrying research that's out there that shows, you know, we really don't know what's going on.Mark Bissell [00:12:06]: That is. Yeah. I think that's the biggest sentiment that we're sort of hoping to tackle. Nobody knows what's going on. Right. Like subliminal learning is just an insane concept when you think about it. Right. Train a model on not even the logits, literally the output text of a bunch of random numbers. And now your model loves owls. And you see behaviors like that, that are just, they defy, they defy intuition. And, and there are mathematical explanations that you can get into, but. I mean.Shawn Wang [00:12:34]: It feels so early days. Objectively, there are a sequence of numbers that are more owl-like than others. There, there should be.Mark Bissell [00:12:40]: According to, according to certain models. Right. It's interesting. I think it only applies to models that were initialized from the same starting Z. Usually, yes.Shawn Wang [00:12:49]: But I mean, I think that's a, that's a cheat code because there's not enough compute. But like if you believe in like platonic representation, like probably it will transfer across different models as well. Oh, you think so?Mark Bissell [00:13:00]: I think of it more as a statistical artifact of models initialized from the same seed sort of. There's something that is like path dependent from that seed that might cause certain overlaps in the latent space and then sort of doing this distillation. Yeah. Like it pushes it towards having certain other tendencies.Vibhu Sapra [00:13:24]: Got it. I think there's like a bunch of these open-ended questions, right? Like you can't train in new stuff during the RL phase, right? RL only reorganizes weights and you can only do stuff that's somewhat there in your base model. You're not learning new stuff. You're just reordering chains and stuff. But okay. My broader question is when you guys work at an interp lab, how do you decide what to work on and what's kind of the thought process? Right. Because we can ramble for hours. Okay. I want to know this. I want to know that. But like, how do you concretely like, you know, what's the workflow? Okay. There's like approaches towards solving a problem, right? I can try prompting. I can look at chain of thought. I can train probes, SAEs. But how do you determine, you know, like, okay, is this going anywhere? Like, do we have set stuff? Just, you know, if you can help me with all that. Yeah.Myra Deng [00:14:07]: It's a really good question. I feel like we've always at the very beginning of the company thought about like, let's go and try to learn what isn't working in machine learning today. Whether that's talking to customers or talking to researchers at other labs, trying to understand both where the frontier is going and where things are really not falling apart today. And then developing a perspective on how we can push the frontier using interpretability methods. And so, you know, even our chief scientist, Tom, spends a lot of time talking to customers and trying to understand what real world problems are and then taking that back and trying to apply the current state of the art to those problems and then seeing where they fall down basically. And then using those failures or those shortcomings to understand what hills to climb when it comes to interpretability research. So like on the fundamental side, for instance, when we have done some work applying SAEs and probes, we've encountered, you know, some shortcomings in SAEs that we found a little bit surprising. And so have gone back to the drawing board and done work on that. And then, you know, we've done some work on better foundational interpreter models. And a lot of our team's research is focused on what is the next evolution beyond SAEs, for instance. And then when it comes to like control and design of models, you know, we tried steering with our first API and realized that it still fell short of black box techniques like prompting or fine tuning. And so went back to the drawing board and we're like, how do we make that not the case and how do we improve it beyond that? And one of our researchers, Ekdeep, who just joined is actually Ekdeep and Atticus are like steering experts and have spent a lot of time trying to figure out like, what is the research that enables us to actually do this in a much more powerful, robust way? So yeah, the answer is like, look at real world problems, try to translate that into a research agenda and then like hill climb on both of those at the same time.Shawn Wang [00:16:04]: Yeah. Mark has the steering CLI demo queued up, which we're going to go into in a sec. But I always want to double click on when you drop hints, like we found some problems with SAEs. Okay. What are they? You know, and then we can go into the demo. Yeah.Myra Deng [00:16:19]: I mean, I'm curious if you have more thoughts here as well, because you've done it in the healthcare domain. But I think like, for instance, when we do things like trying to detect behaviors within models that are harmful or like behaviors that a user might not want to have in their model. So hallucinations, for instance, harmful intent, PII, all of these things. We first tried using SAE probes for a lot of these tasks. So taking the feature activation space from SAEs and then training classifiers on top of that, and then seeing how well we can detect the properties that we might want to detect in model behavior. And we've seen in many cases that probes just trained on raw activations seem to perform better than SAE probes, which is a bit surprising if you think that SAEs are actually also capturing the concepts that you would want to capture cleanly and more surgically. And so that is an interesting observation. I don't think that is like, I'm not down on SAEs at all. I think there are many, many things they're useful for, but we have definitely run into cases where I think the concept space described by SAEs is not as clean and accurate as we would expect it to be for actual like real world downstream performance metrics.Mark Bissell [00:17:34]: Fair enough. Yeah. It's the blessing and the curse of unsupervised methods where you get to peek into the AI's mind. But sometimes you wish that you saw other things when you walked inside there. Although in the PII instance, I think weren't an SAE based approach actually did prove to be the most generalizable?Myra Deng [00:17:53]: It did work well in the case that we published with Rakuten. And I think a lot of the reasons it worked well was because we had a noisier data set. And so actually the blessing of unsupervised learning is that we actually got to get more meaningful, generalizable signal from SAEs when the data was noisy. But in other cases where we've had like good data sets, it hasn't been the case.Shawn Wang [00:18:14]: And just because you named Rakuten and I don't know if we'll get it another chance, like what is the overall, like what is Rakuten's usage or production usage? Yeah.Myra Deng [00:18:25]: So they are using us to essentially guardrail and inference time monitor their language model usage and their agent usage to detect things like PII so that they don't route private user information.Myra Deng [00:18:41]: And so that's, you know, going through all of their user queries every day. And that's something that we deployed with them a few months ago. And now we are actually exploring very early partnerships, not just with Rakuten, but with other people around how we can help with potentially training and customization use cases as well. Yeah.Shawn Wang [00:19:03]: And for those who don't know, like it's Rakuten is like, I think number one or number two e-commerce store in Japan. Yes. Yeah.Mark Bissell [00:19:10]: And I think that use case actually highlights a lot of like what it looks like to deploy things in practice that you don't always think about when you're doing sort of research tasks. So when you think about some of the stuff that came up there that's more complex than your idealized version of a problem, they were encountering things like synthetic to real transfer of methods. So they couldn't train probes, classifiers, things like that on actual customer data of PII. So what they had to do is use synthetic data sets. And then hope that that transfer is out of domain to real data sets. And so we can evaluate performance on the real data sets, but not train on customer PII. So that right off the bat is like a big challenge. You have multilingual requirements. So this needed to work for both English and Japanese text. Japanese text has all sorts of quirks, including tokenization behaviors that caused lots of bugs that caused us to be pulling our hair out. And then also a lot of tasks you'll see. You might make simplifying assumptions if you're sort of treating it as like the easiest version of the problem to just sort of get like general results where maybe you say you're classifying a sentence to say, does this contain PII? But the need that Rakuten had was token level classification so that you could precisely scrub out the PII. So as we learned more about the problem, you're sort of speaking about what that looks like in practice. Yeah. A lot of assumptions end up breaking. And that was just one instance where you. A problem that seems simple right off the bat ends up being more complex as you keep diving into it.Vibhu Sapra [00:20:41]: Excellent. One of the things that's also interesting with Interp is a lot of these methods are very efficient, right? So where you're just looking at a model's internals itself compared to a separate like guardrail, LLM as a judge, a separate model. One, you have to host it. Two, there's like a whole latency. So if you use like a big model, you have a second call. Some of the work around like self detection of hallucination, it's also deployed for efficiency, right? So if you have someone like Rakuten doing it in production live, you know, that's just another thing people should consider.Mark Bissell [00:21:12]: Yeah. And something like a probe is super lightweight. Yeah. It's no extra latency really. Excellent.Shawn Wang [00:21:17]: You have the steering demos lined up. So we were just kind of see what you got. I don't, I don't actually know if this is like the latest, latest or like alpha thing.Mark Bissell [00:21:26]: No, this is a pretty hacky demo from from a presentation that someone else on the team recently gave. So this will give a sense for, for technology. So you can see the steering and action. Honestly, I think the biggest thing that this highlights is that as we've been growing as a company and taking on kind of more and more ambitious versions of interpretability related problems, a lot of that comes to scaling up in various different forms. And so here you're going to see steering on a 1 trillion parameter model. This is Kimi K2. And so it's sort of fun that in addition to the research challenges, there are engineering challenges that we're now tackling. Cause for any of this to be sort of useful in production, you need to be thinking about what it looks like when you're using these methods on frontier models as opposed to sort of like toy kind of model organisms. So yeah, this was thrown together hastily, pretty fragile behind the scenes, but I think it's quite a fun demo. So screen sharing is on. So I've got two terminal sessions pulled up here. On the left is a forked version that we have of the Kimi CLI that we've got running to point at our custom hosted Kimi model. And then on the right is a set up that will allow us to steer on certain concepts. So I should be able to chat with Kimi over here. Tell it hello. This is running locally. So the CLI is running locally, but the Kimi server is running back to the office. Well, hopefully should be, um, that's too much to run on that Mac. Yeah. I think it's, uh, it takes a full, like each 100 node. I think it's like, you can. You can run it on eight GPUs, eight 100. So, so yeah, Kimi's running. We can ask it a prompt. It's got a forked version of our, uh, of the SG line code base that we've been working on. So I'm going to tell it, Hey, this SG line code base is slow. I think there's a bug. Can you try to figure it out? There's a big code base, so it'll, it'll spend some time doing this. And then on the right here, I'm going to initialize in real time. Some steering. Let's see here.Mark Bissell [00:23:33]: searching for any. Bugs. Feature ID 43205.Shawn Wang [00:23:38]: Yeah.Mark Bissell [00:23:38]: 20, 30, 40. So let me, uh, this is basically a feature that we found that inside Kimi seems to cause it to speak in Gen Z slang. And so on the left, it's still sort of thinking normally it might take, I don't know, 15 seconds for this to kick in, but then we're going to start hopefully seeing him do this code base is massive for real. So we're going to start. We're going to start seeing Kimi transition as the steering kicks in from normal Kimi to Gen Z Kimi and both in its chain of thought and its actual outputs.Mark Bissell [00:24:19]: And interestingly, you can see, you know, it's still able to call tools, uh, and stuff. It's um, it's purely sort of it's it's demeanor. And there are other features that we found for interesting things like concision. So that's more of a practical one. You can make it more concise. Um, the types of programs, uh, programming languages that uses, but yeah, as we're seeing it come in. Pretty good. Outputs.Shawn Wang [00:24:43]: Scheduler code is actually wild.Vibhu Sapra [00:24:46]: Yo, this code is actually insane, bro.Vibhu Sapra [00:24:53]: What's the process of training in SAE on this, or, you know, how do you label features? I know you guys put out a pretty cool blog post about, um, finding this like autonomous interp. Um, something. Something about how agents for interp is different than like coding agents. I don't know while this is spewing up, but how, how do we find feature 43, two Oh five. Yeah.Mark Bissell [00:25:15]: So in this case, um, we, our platform that we've been building out for a long time now supports all the sort of classic out of the box interp techniques that you might want to have like SAE training, probing things of that kind, I'd say the techniques for like vanilla SAEs are pretty well established now where. You take your model that you're interpreting, run a whole bunch of data through it, gather activations, and then yeah, pretty straightforward pipeline to train an SAE. There are a lot of different varieties. There's top KSAEs, batch top KSAEs, um, normal ReLU SAEs. And then once you have your sparse features to your point, assigning labels to them to actually understand that this is a gen Z feature, that's actually where a lot of the kind of magic happens. Yeah. And the most basic standard technique is look at all of your d input data set examples that cause this feature to fire most highly. And then you can usually pick out a pattern. So for this feature, If I've run a diverse enough data set through my model feature 43, two Oh five. Probably tends to fire on all the tokens that sounds like gen Z slang. You know, that's the, that's the time of year to be like, Oh, I'm in this, I'm in this Um, and, um, so, you know, you could have a human go through all 43,000 concepts andVibhu Sapra [00:26:34]: And I've got to ask the basic question, you know, can we get examples where it hallucinates, pass it through, see what feature activates for hallucinations? Can I just, you know, turn hallucination down?Myra Deng [00:26:51]: Oh, wow. You really predicted a project we're already working on right now, which is detecting hallucinations using interpretability techniques. And this is interesting because hallucinations is something that's very hard to detect. And it's like a kind of a hairy problem and something that black box methods really struggle with. Whereas like Gen Z, you could always train a simple classifier to detect that hallucinations is harder. But we've seen that models internally have some... Awareness of like uncertainty or some sort of like user pleasing behavior that leads to hallucinatory behavior. And so, yeah, we have a project that's trying to detect that accurately. And then also working on mitigating the hallucinatory behavior in the model itself as well.Shawn Wang [00:27:39]: Yeah, I would say most people are still at the level of like, oh, I would just turn temperature to zero and that turns off hallucination. And I'm like, well, that's a fundamental misunderstanding of how this works. Yeah.Mark Bissell [00:27:51]: Although, so part of what I like about that question is you, there are SAE based approaches that might like help you get at that. But oftentimes the beauty of SAEs and like we said, the curse is that they're unsupervised. So when you have a behavior that you deliberately would like to remove, and that's more of like a supervised task, often it is better to use something like probes and specifically target the thing that you're interested in reducing as opposed to sort of like hoping that when you fragment the latent space, one of the vectors that pops out.Vibhu Sapra [00:28:20]: And as much as we're training an autoencoder to be sparse, we're not like for sure certain that, you know, we will get something that just correlates to hallucination. You'll probably split that up into 20 other things and who knows what they'll be.Mark Bissell [00:28:36]: Of course. Right. Yeah. So there's no sort of problems with like feature splitting and feature absorption. And then there's the off target effects, right? Ideally, you would want to be very precise where if you reduce the hallucination feature, suddenly maybe your model can't write. Creatively anymore. And maybe you don't like that, but you want to still stop it from hallucinating facts and figures.Shawn Wang [00:28:55]: Good. So Vibhu has a paper to recommend there that we'll put in the show notes. But yeah, I mean, I guess just because your demo is done, any any other things that you want to highlight or any other interesting features you want to show?Mark Bissell [00:29:07]: I don't think so. Yeah. Like I said, this is a pretty small snippet. I think the main sort of point here that I think is exciting is that there's not a whole lot of inter being applied to models quite at this scale. You know, Anthropic certainly has some some. Research and yeah, other other teams as well. But it's it's nice to see these techniques, you know, being put into practice. I think not that long ago, the idea of real time steering of a trillion parameter model would have sounded.Shawn Wang [00:29:33]: Yeah. The fact that it's real time, like you started the thing and then you edited the steering vector.Vibhu Sapra [00:29:38]: I think it's it's an interesting one TBD of what the actual like production use case would be on that, like the real time editing. It's like that's the fun part of the demo, right? You can kind of see how this could be served behind an API, right? Like, yes, you're you only have so many knobs and you can just tweak it a bit more. And I don't know how it plays in. Like people haven't done that much with like, how does this work with or without prompting? Right. How does this work with fine tuning? Like, there's a whole hype of continual learning, right? So there's just so much to see. Like, is this another parameter? Like, is it like parameter? We just kind of leave it as a default. We don't use it. So I don't know. Maybe someone here wants to put out a guide on like how to use this with prompting when to do what?Mark Bissell [00:30:18]: Oh, well, I have a paper recommendation. I think you would love from Act Deep on our team, who is an amazing researcher, just can't say enough amazing things about Act Deep. But he actually has a paper that as well as some others from the team and elsewhere that go into the essentially equivalence of activation steering and in context learning and how those are from a he thinks of everything in a cognitive neuroscience Bayesian framework, but basically how you can precisely show how. Prompting in context, learning and steering exhibit similar behaviors and even like get quantitative about the like magnitude of steering you would need to do to induce a certain amount of behavior similar to certain prompting, even for things like jailbreaks and stuff. It's a really cool paper. Are you saying steering is less powerful than prompting? More like you can almost write a formula that tells you how to convert between the two of them.Myra Deng [00:31:20]: And so like formally equivalent actually in the in the limit. Right.Mark Bissell [00:31:24]: So like one case study of this is for jailbreaks there. I don't know. Have you seen the stuff where you can do like many shot jailbreaking? You like flood the context with examples of the behavior. And the topic put out that paper.Shawn Wang [00:31:38]: A lot of people were like, yeah, we've been doing this, guys.Mark Bissell [00:31:40]: Like, yeah, what's in this in context learning and activation steering equivalence paper is you can like predict the number. Number of examples that you will need to put in there in order to jailbreak the model. That's cool. By doing steering experiments and using this sort of like equivalence mapping. That's cool. That's really cool. It's very neat. Yeah.Shawn Wang [00:32:02]: I was going to say, like, you know, I can like back rationalize that this makes sense because, you know, what context is, is basically just, you know, it updates the KV cache kind of and like and then every next token inference is still like, you know, the sheer sum of everything all the way. It's plus all the context. It's up to date. And you could, I guess, theoretically steer that with you probably replace that with your steering. The only problem is steering typically is on one layer, maybe three layers like like you did. So it's like not exactly equivalent.Mark Bissell [00:32:33]: Right, right. There's sort of you need to get precise about, yeah, like how you sort of define steering and like what how you're modeling the setup. But yeah, I've got the paper pulled up here. Belief dynamics reveal the dual nature. Yeah. The title is Belief Dynamics Reveal the Dual Nature of Incompetence. And it's an exhibition of the practical context learning and activation steering. So Eric Bigelow, Dan Urgraft on the who are doing fellowships at Goodfire, Ekt Deep's the final author there.Myra Deng [00:32:59]: I think actually to your question of like, what is the production use case of steering? I think maybe if you just think like one level beyond steering as it is today. Like imagine if you could adapt your model to be, you know, an expert legal reasoner. Like in almost real time, like very quickly. efficiently using human feedback or using like your semantic understanding of what the model knows and where it knows that behavior. I think that while it's not clear what the product is at the end of the day, it's clearly very valuable. Thinking about like what's the next interface for model customization and adaptation is a really interesting problem for us. Like we have heard a lot of people actually interested in fine-tuning an RL for open weight models in production. And so people are using things like Tinker or kind of like open source libraries to do that, but it's still very difficult to get models fine-tuned and RL'd for exactly what you want them to do unless you're an expert at model training. And so that's like something we'reShawn Wang [00:34:06]: looking into. Yeah. I never thought so. Tinker from Thinking Machines famously uses rank one LoRa. Is that basically the same as steering? Like, you know, what's the comparison there?Mark Bissell [00:34:19]: Well, so in that case, you are still applying updates to the parameters, right?Shawn Wang [00:34:25]: Yeah. You're not touching a base model. You're touching an adapter. It's kind of, yeah.Mark Bissell [00:34:30]: Right. But I guess it still is like more in parameter space then. I guess it's maybe like, are you modifying the pipes or are you modifying the water flowing through the pipes to get what you're after? Yeah. Just maybe one way.Mark Bissell [00:34:44]: I like that analogy. That's my mental map of it at least, but it gets at this idea of model design and intentional design, which is something that we're, that we're very focused on. And just the fact that like, I hope that we look back at how we're currently training models and post-training models and just think what a primitive way of doing that right now. Like there's no intentionalityShawn Wang [00:35:06]: really in... It's just data, right? The only thing in control is what data we feed in.Mark Bissell [00:35:11]: So, so Dan from Goodfire likes to use this analogy of, you know, he has a couple of young kids and he talks about like, what if I could only teach my kids how to be good people by giving them cookies or like, you know, giving them a slap on the wrist if they do something wrong, like not telling them why it was wrong or like what they should have done differently or something like that. Just figure it out. Right. Exactly. So that's RL. Yeah. Right. And, and, you know, it's sample inefficient. There's, you know, what do they say? It's like slurping feedback. It's like, slurping supervision. Right. And so you'd like to get to the point where you can have experts giving feedback to their models that are, uh, internalized and, and, you know, steering is an inference time way of sort of getting that idea. But ideally you're moving to a world whereVibhu Sapra [00:36:04]: it is much more intentional design in perpetuity for these models. Okay. This is one of the questions we asked Emmanuel from Anthropic on the podcast a few months ago. Basically the question, was you're at a research lab that does model training, foundation models, and you're on an interp team. How does it tie back? Right? Like, does this, do ideas come from the pre-training team? Do they go back? Um, you know, so for those interested, you can, you can watch that. There wasn't too much of a connect there, but it's still something, you know, it's something they want toMark Bissell [00:36:33]: push for down the line. It can be useful for all of the above. Like there are certainly post-hocVibhu Sapra [00:36:39]: use cases where it doesn't need to touch that. I think the other thing a lot of people forget is this stuff isn't too computationally expensive, right? Like I would say, if you're interested in getting into research, MechInterp is one of the most approachable fields, right? A lot of this train an essay, train a probe, this stuff, like the budget for this one, there's already a lot done. There's a lot of open source work. You guys have done some too. Um, you know,Shawn Wang [00:37:04]: There's like notebooks from the Gemini team for Neil Nanda or like, this is how you do it. Just step through the notebook.Vibhu Sapra [00:37:09]: Even if you're like, not even technical with any of this, you can still make like progress. There, you can look at different activations, but, uh, if you do want to get into training, you know, training this stuff, correct me if I'm wrong is like in the thousands of dollars, not even like, it's not that high scale. And then same with like, you know, applying it, doing it for post-training or all this stuff is fairly cheap in scale of, okay. I want to get into like model training. I don't have compute for like, you know, pre-training stuff. So it's, it's a very nice field to get into. And also there's a lot of like open questions, right? Um, some of them have to go with, okay, I want a product. I want to solve this. Like there's also just a lot of open-ended stuff that people could work on. That's interesting. Right. I don't know if you guys have any calls for like, what's open questions, what's open work that you either open collaboration with, or like, you'd just like to see solved or just, you know, for people listening that want to get into McInturk because people always talk about it. What are, what are the things they should check out? Start, of course, you know, join you guys as well. I'm sure you're hiring.Myra Deng [00:38:09]: There's a paper, I think from, was it Lee, uh, Sharky? It's open problems and, uh, it's, it's a bit of interpretability, which I recommend everyone who's interested in the field. Read. I'm just like a really comprehensive overview of what are the things that experts in the field think are the most important problems to be solved. I also think to your point, it's been really, really inspiring to see, I think a lot of young people getting interested in interpretability, actually not just young people also like scientists to have been, you know, experts in physics for many years and in biology or things like this, um, transitioning into interp, because the barrier of, of what's now interp. So it's really cool to see a number to entry is, you know, in some ways low and there's a lot of information out there and ways to get started. There's this anecdote of like professors at universities saying that all of a sudden every incoming PhD student wants to study interpretability, which was not the case a few years ago. So it just goes to show how, I guess, like exciting the field is, how fast it's moving, how quick it is to get started and things like that.Mark Bissell [00:39:10]: And also just a very welcoming community. You know, there's an open source McInturk Slack channel. There are people are always posting questions and just folks in the space are always responsive if you ask things on various forums and stuff. But yeah, the open paper, open problems paper is a really good one.Myra Deng [00:39:28]: For other people who want to get started, I think, you know, MATS is a great program. What's the acronym for? Machine Learning and Alignment Theory Scholars? It's like the...Vibhu Sapra [00:39:40]: Normally summer internship style.Myra Deng [00:39:42]: Yeah, but they've been doing it year round now. And actually a lot of our full-time staff have come through that program or gone through that program. And it's great for anyone who is transitioning into interpretability. There's a couple other fellows programs. We do one as well as Anthropic. And so those are great places to get started if anyone is interested.Mark Bissell [00:40:03]: Also, I think been seen as a research field for a very long time. But I think engineering... I think engineers are sorely wanted for interpretability as well, especially at Goodfire, but elsewhere, as it does scale up.Shawn Wang [00:40:18]: I should mention that Lee actually works with you guys, right? And in the London office and I'm adding our first ever McInturk track at AI Europe because I see this industry applications now emerging. And I'm pretty excited to, you know, help push that along. Yeah, I was looking forward to that. It'll effectively be the first industry McInturk conference. Yeah. I'm so glad you added that. You know, it's still a little bit of a bet. It's not that widespread, but I can definitely see this is the time to really get into it. We want to be early on things.Mark Bissell [00:40:51]: For sure. And I think the field understands this, right? So at ICML, I think the title of the McInturk workshop this year was actionable interpretability. And there was a lot of discussion around bringing it to various domains. Everyone's adding pragmatic, actionable, whatever.Shawn Wang [00:41:10]: It's like, okay, well, we weren't actionable before, I guess. I don't know.Vibhu Sapra [00:41:13]: And I mean, like, just, you know, being in Europe, you see the Interp room. One, like old school conferences, like, I think they had a very tiny room till they got lucky and they got it doubled. But there's definitely a lot of interest, a lot of niche research. So you see a lot of research coming out of universities, students. We covered the paper last week. It's like two unknown authors, not many citations. But, you know, you can make a lot of meaningful work there. Yeah. Yeah. Yeah.Shawn Wang [00:41:39]: Yeah. I think people haven't really mentioned this yet. It's just Interp for code. I think it's like an abnormally important field. We haven't mentioned this yet. The conspiracy theory last two years ago was when the first SAE work came out of Anthropic was they would do like, oh, we just used SAEs to turn the bad code vector down and then turn up the good code. And I think like, isn't that the dream? Like, you know, like, but basically, I guess maybe, why is it funny? Like, it's... If it was realistic, it would not be funny. It would be like, no, actually, we should do this. But it's funny because we know there's like, we feel there's some limitations to what steering can do. And I think a lot of the public image of steering is like the Gen Z stuff. Like, oh, you can make it really love the Golden Gate Bridge, or you can make it speak like Gen Z. To like be a legal reasoner seems like a huge stretch. Yeah. And I don't know if that will get there this way. Yeah.Myra Deng [00:42:36]: I think, um, I will say we are announcing. Something very soon that I will not speak too much about. Um, but I think, yeah, this is like what we've run into again and again is like, we, we don't want to be in the world where steering is only useful for like stylistic things. That's definitely not, not what we're aiming for. But I think the types of interventions that you need to do to get to things like legal reasoning, um, are much more sophisticated and require breakthroughs in, in learning algorithms. And that's, um...Shawn Wang [00:43:07]: And is this an emergent property of scale as well?Myra Deng [00:43:10]: I think so. Yeah. I mean, I think scale definitely helps. I think scale allows you to learn a lot of information and, and reduce noise across, you know, large amounts of data. But I also think we think that there's ways to do things much more effectively, um, even, even at scale. So like actually learning exactly what you want from the data and not learning things that you do that you don't want exhibited in the data. So we're not like anti-scale, but we are also realizing that scale is not going to get us anywhere. It's not going to get us to the type of AI development that we want to be at in, in the future as these models get more powerful and get deployed in all these sorts of like mission critical contexts. Current life cycle of training and deploying and evaluations is, is to us like deeply broken and has opportunities to, to improve. So, um, more to come on that very, very soon.Mark Bissell [00:44:02]: And I think that that's a use basically, or maybe just like a proof point that these concepts do exist. Like if you can manipulate them in the precise best way, you can get the ideal combination of them that you desire. And steering is maybe the most coarse grained sort of peek at what that looks like. But I think it's evocative of what you could do if you had total surgical control over every concept, every parameter. Yeah, exactly.Myra Deng [00:44:30]: There were like bad code features. I've got it pulled up.Vibhu Sapra [00:44:33]: Yeah. Just coincidentally, as you guys are talking.Shawn Wang [00:44:35]: This is like, this is exactly.Vibhu Sapra [00:44:38]: There's like specifically a code error feature that activates and they show, you know, it's not, it's not typo detection. It's like, it's, it's typos in code. It's not typical typos. And, you know, you can, you can see it clearly activates where there's something wrong in code. And they have like malicious code, code error. They have a whole bunch of sub, you know, sub broken down little grain features. Yeah.Shawn Wang [00:45:02]: Yeah. So, so the, the rough intuition for me, the, why I talked about post-training was that, well, you just, you know, have a few different rollouts with all these things turned off and on and whatever. And then, you know, you can, that's, that's synthetic data you can kind of post-train on. Yeah.Vibhu Sapra [00:45:13]: And I think we make it sound easier than it is just saying, you know, they do the real hard work.Myra Deng [00:45:19]: I mean, you guys, you guys have the right idea. Exactly. Yeah. We replicated a lot of these features in, in our Lama models as well. I remember there was like.Vibhu Sapra [00:45:26]: And I think a lot of this stuff is open, right? Like, yeah, you guys opened yours. DeepMind has opened a lot of essays on Gemma. Even Anthropic has opened a lot of this. There's, there's a lot of resources that, you know, we can probably share of people that want to get involved.Shawn Wang [00:45:41]: Yeah. And special shout out to like Neuronpedia as well. Yes. Like, yeah, amazing piece of work to visualize those things.Myra Deng [00:45:49]: Yeah, exactly.Shawn Wang [00:45:50]: I guess I wanted to pivot a little bit on, onto the healthcare side, because I think that's a big use case for you guys. We haven't really talked about it yet. This is a bit of a crossover for me because we are, we are, we do have a separate science pod that we're starting up for AI, for AI for science, just because like, it's such a huge investment category and also I'm like less qualified to do it, but we actually have bio PhDs to cover that, which is great, but I need to just kind of recover, recap your work, maybe on the evil two stuff, but then, and then building forward.Mark Bissell [00:46:17]: Yeah, for sure. And maybe to frame up the conversation, I think another kind of interesting just lens on interpretability in general is a lot of the techniques that were described. are ways to solve the AI human interface problem. And it's sort of like bidirectional communication is the goal there. So what we've been talking about with intentional design of models and, you know, steering, but also more advanced techniques is having humans impart our desires and control into models and over models. And the reverse is also very interesting, especially as you get to superhuman models, whether that's narrow superintelligence, like these scientific models that work on genomics, data, medical imaging, things like that. But down the line, you know, superintelligence of other forms as well. What knowledge can the AIs teach us as sort of that, that the other direction in that? And so some of our life science work to date has been getting at exactly that question, which is, well, some of it does look like debugging these various life sciences models, understanding if they're actually performing well, on tasks, or if they're picking up on spurious correlations, for instance, genomics models, you would like to know whether they are sort of focusing on the biologically relevant things that you care about, or if it's using some simpler correlate, like the ancestry of the person that it's looking at. But then also in the instances where they are superhuman, and maybe they are understanding elements of the human genome that we don't have names for or specific, you know, yeah, discoveries that they've made that that we don't know about, that's, that's a big goal. And so we're already seeing that, right, we are partnered with organizations like Mayo Clinic, leading research health system in the United States, our Institute, as well as a startup called Prima Menta, which focuses on neurodegenerative disease. And in our partnership with them, we've used foundation models, they've been training and applied our interpretability techniques to find novel biomarkers for Alzheimer's disease. So I think this is just the tip of the iceberg. But it's, that's like a flavor of some of the things that we're working on.Shawn Wang [00:48:36]: Yeah, I think that's really fantastic. Obviously, we did the Chad Zuckerberg pod last year as well. And like, there's a plethora of these models coming out, because there's so much potential and research. And it's like, very interesting how it's basically the same as language models, but just with a different underlying data set. But it's like, it's the same exact techniques. Like, there's no change, basically.Mark Bissell [00:48:59]: Yeah. Well, and even in like other domains, right? Like, you know, robotics, I know, like a lot of the companies just use Gemma as like the like backbone, and then they like make it into a VLA that like takes these actions. It's, it's, it's transformers all the way down. So yeah.Vibhu Sapra [00:49:15]: Like we have Med Gemma now, right? Like this week, even there was Med Gemma 1.5. And they're training it on this stuff, like 3d scans, medical domain knowledge, and all that stuff, too. So there's a push from both sides. But I think the thing that, you know, one of the things about McInturpp is like, you're a little bit more cautious in some domains, right? So healthcare, mainly being one, like guardrails, understanding, you know, we're more risk adverse to something going wrong there. So even just from a basic understanding, like, if we're trusting these systems to make claims, we want to know why and what's going on.Myra Deng [00:49:51]: Yeah, I think there's totally a kind of like deployment bottleneck to actually using. foundation models for real patient usage or things like that. Like, say you're using a model for rare disease prediction, you probably want some explanation as to why your model predicted a certain outcome, and an interpretable explanation at that. So that's definitely a use case. But I also think like, being able to extract scientific information that no human knows to accelerate drug discovery and disease treatment and things like that actually is a really, really big unlock for science, like scientific discovery. And you've seen a lot of startups, like say that they're going to accelerate scientific discovery. And I feel like we actually are doing that through our interp techniques. And kind of like, almost by accident, like, I think we got reached out to very, very early on from these healthcare institutions. And none of us had healthcare.Shawn Wang [00:50:49]: How did they even hear of you? A podcast.Myra Deng [00:50:51]: Oh, okay. Yeah, podcast.Vibhu Sapra [00:50:53]: Okay, well, now's that time, you know.Myra Deng [00:50:55]: Everyone can call us.Shawn Wang [00:50:56]: Podcasts are the most important thing. Everyone should listen to podcasts.Myra Deng [00:50:59]: Yeah, they reached out. They were like, you know, we have these really smart models that we've trained, and we want to know what they're doing. And we were like, really early that time, like three months old, and it was a few of us. And we were like, oh, my God, we've never used these models. Let's figure it out. But it's also like, great proof that interp techniques scale pretty well across domains. We didn't really have to learn too much about.Shawn Wang [00:51:21]: Interp is a machine learning technique, machine learning skills everywhere, right? Yeah. And it's obviously, it's just like a general insight. Yeah. Probably to finance too, I think, which would be fun for our history. I don't know if you have anything to say there.Mark Bissell [00:51:34]: Yeah, well, just across the science. Like, we've also done work on material science. Yeah, it really runs the gamut.Vibhu Sapra [00:51:40]: Yeah. Awesome. And, you know, for those that should reach out, like, you're obviously experts in this, but like, is there a call out for people that you're looking to partner with, design partners, people to use your stuff outside of just, you know, the general developer that wants to. Plug and play steering stuff, like on the research side more so, like, are there ideal design partners, customers, stuff like that?Myra Deng [00:52:03]: Yeah, I can talk about maybe non-life sciences, and then I'm curious to hear from you on the life sciences side. But we're looking for design partners across many domains, language, anyone who's customizing language models or trying to push the frontier of code or reasoning models is really interesting to us. And then also interested in the frontier of modeling. There's a lot of models that work in, like, pixel space, as we call it. So if you're doing world models, video models, even robotics, where there's not a very clean natural language interface to interact with, I think we think that Interp can really help and are looking for a few partners in that space.Shawn Wang [00:52:43]: Just because you mentioned the keyword

Guy W. Gane, Jr. built a distinguished career spanning over 30 years in the financial servicesindustry. As a nationally recognized stockbroker and Registered Investment Advisor, he ownedmultiple offices across the country, earning a reputation for excellence, integrity, and client-focused service. His journey in finance was both rewarding and impactful, marked by decadesof trusted guidance and strategic expertise.Guy has made his mark with appearances on national television and a five-year run as the hostof his own radio show. Today, he continues to inspire through countless national andinternational podcast features, where he shares powerful messages of resilience, persistence,and success. With every story, he encourages listeners to hold tight to their dreams and neverstop believing in what's possible.Guy, founder of Gane Wisdom, LLC, has built a remarkable portfolio of achievements, includingauthoring three impactful books: Unchained and Unbroken, Chrysalis, and ManagedMoney—each available on Amazon and other major retailers. A sought-after speaker,entrepreneur, and Performance Coach, Guy blends insight with inspiration to help others unlocktheir potential.His latest work, Second Wind: A Graceful Journey into AI Wisdom, explores the transformativepower of Artificial Intelligence in today's world and its profound implications for humanity'sfuture. During his research, Guy uncovered a troubling gap: the lack of accessible AI educationfor individuals over 55. Motivated to change that, he founded the Center for Aging and AIEmpowerment.From this initiative came Second Wind: A Gentle Course into AI Wisdom, an easy-to-followonline program designed specifically for older learners. Free of technical jargon and full ofpractical guidance, it stands as the only AI tutorial tailored to those approaching or enjoyingretirement—quickly earning recognition as a leading resource for this underserved community.Contact Guy Gane:aiacademy@ganewisdom.comacademy.ganewisdom.com.www.linkedin.com/in/guy-w-gane-jr-85b2ab15/www.facebook.com/guy.ganewww.instagram.com/gane_wisdomwww.youtube.com/results?search_query=guy+w+gane+jrwww.instagram.com/aiacademy_creativeagingwww.facebook.com/center for creative aging and ai empowermentDr. Kimberley LinertSpeaker, Author, Broadcaster, Mentor, Trainer, Behavioral OptometristEvent Planners- I am available to speak at your event. Here is my media kit: https://brucemerrinscelebrityspeakers.com/portfolio/dr-kimberley-linert/To book Dr. Linert on your podcast, television show, conference, corporate training or as an expert guest please email her at incrediblelifepodcast@gmail.com or Contact Bruce Merrin at Bruce Merrin's Celebrity Speakers at merrinpr@gmail.com702.256.9199Host of the Podcast Series: Incredible Life Creator PodcastAvailable on...Apple: https://podcasts.apple.com/us/podcast/incredible-life-creator-with-dr-kimberley-linert/id1472641267Spotify: https://open.spotify.com/show/6DZE3EoHfhgcmSkxY1CvKf?si=ebe71549e7474663 and on 9 other podcast platformsAuthor of Book: "Visualizing Happiness in Every Area of Your Life"Get on Amazon: https://amzn.to/4cmTOMwWebsite: https://linktr.ee/DrKimberleyLinertThe Great Discovery eLearning platform: https://thegreatdiscovery.com/kimberleyl

Hello to you listening in Marion, Ohio!Coming to you from Whidbey Island, Washington this is Stories From Women Who Walk with 60 Seconds for Story Prompt Friday and your host, Diane Wyzga.They say that when Marco Polo returned from his decades of travels through Asia along the Silk Roads, he had gems sewn in his cloak to prove the fantastical nature of his stories.Where might we find the fantastical, the unexpected gift in our stories? What did we bring home from our journey? What was the agent of change? How were we transformed? And does any of it matter to someone else? “It's strange to think that there might be things we know that people who live one hundred years from now would like to know. We forget to say them.” [William Stafford]The story we bring back from our journeys is the gift of grace that was passed to us as we journeyed through our fears, doubts, and failures bringing us from There to Here.Story Prompt: What insight, glimpse of wisdom, shiver of compassion, or wee bit of knowledge have you received as you walk the story of your life? Write that story and share it out loud.You're always welcome: "Come for the stories - Stay for the magic!" Speaking of magic, I hope you'll subscribe, share a 5-star rating and nice review on your social media or podcast channel of choice, bring your friends and rellies, and join us! You will have wonderful company as we continue to walk our lives together. Be sure to stop by my Quarter Moon Story Arts website, check out the Communication Services, email me to arrange a no-obligation Discovery Call, and stay current with me as "Wyzga on Words" on Substack.Stories From Women Who Walk Production TeamPodcaster: Diane F Wyzga & Quarter Moon Story ArtsMusic: Mer's Waltz from Crossing the Waters by Steve Schuch & Night Heron MusicALL content and image © 2019 to Present Quarter Moon Story Arts. All rights reserved.  If you found this podcast episode helpful, please consider sharing and attributing it to Diane Wyzga of Stories From Women Who Walk podcast with a link back to the original source.

Dona and I have Jana to the show to school us hardcore about manifestation. Get 'em!This is a video on Spotify and YouTube.Want to know more about Jana?Jana Green - UK's #1 Manifesting & Success Coach "I show how to manifest anything instantly — Money, Business, Love, Health, and Identity — using the fastest, simplest manifesting method online. No techniques. No rituals. No waiting.  This channel is about real-world, physics-based manifestation. 4M+ people across 160+ countries have already updated their reality.  If you're done trying to manifest and ready for radical certainty, effortless manifestation, and results that show up fast, welcome to the only place where manifesting actually works: Manifesting HQ" https://www.janagreeninternational.co...  FREE eBook: Clear 15+5 Money Manifesting Blocks  https://www.janagreeninternational.co...  Rapid Manifestation Abundance Bundle (Course):  https://www.janagreeninternational.co...  3-hour Block Removing BREAKTHROUGH Session: https://www.janagreeninternational.co...  Join the FB GROUP where we burn the fluff and manifest like bosses: (3) Rapid Manifesting Community: Quantum leaping your results | Facebook  For fastest results + all offerings:  https://www.janagreeninternational.com/BOOK: Find the Love of Your Life in 30 Days available on Amazon or as a PDF on my websiteSupport the podcast! The best way is to subscribe and listen/watch!Thank you for watching and listening.

Why can birds sit on electrical wires without getting shocked? What's the chemistry behind cake mix versus baking from scratch? Why do some materials create more fire than others? Melissa and Jam tackle these questions and more, drawn from curious listeners and the 'Explain Like I'm Five' subreddit, in this engaging episode of Chemistry for Your Life. Plus, find out how popular TV shows might be influencing career choices and explore the fascinating world of chemical reactions. Got a burning question? Tune in and satisfy your curiosity with Chemistry for Your Life! 00:00 Introduction and Episode Inspiration 01:25 Why Birds Don't Get Shocked on Electrical Wires 06:57 The Science Behind Cake Mixes and Baking 10:13 Why Some Materials Burn and Others Don't 12:51 Why Hot Beverages Steam Below Boiling Point 15:31 Am I the Jerk? - Discussing Career Choices 18:45 Family Ties in Medicine 19:17 Influence of TV Shows on Career Choices 20:18 Realizations About Medical Careers 22:09 Exploring Alternative Medical Careers 23:46 Advice for Aspiring Medical Professionals 26:05 Considering the Medical Field Despite Challenges 36:02 Celebrating Academic Achievements 38:00 Conclusion and Listener Engagement Support this podcast on Patreon Buy Podcast Merch and Apparel Check out our website at chemforyourlife.com Watch our episodes on YouTube Find us on Instagram, Twitter, and Facebook @ChemForYourLife References from the Episode: Thanks to our monthly supporters Amanda Raymond Emily Morrison Kyle McCray Justine Emily Hardy Ash Vince W Julie S. Heather Ragusa Autoclave Dorien VD Scott Beyer Jessie Reder J0HNTR0Y Jeannette Napoleon Cullyn R Erica Bee Elizabeth P Rachel Reina Letila Katrina Barnum-Huckins Suzanne Phillips Venus Rebholz Jacob Taber Brian Kimball Kristina Gotfredsen Timothy Parker Steven Boyles Chris Skupien Chelsea B Avishai Barnoy Hunter Reardon Support this podcast on Patreon Buy Podcast Merch and Apparel Check out our website at chemforyourlife.com Watch our episodes on YouTube Find us on Instagram, Twitter, and Facebook @ChemForYourLife Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

We don't know if they understand the difference between a pod and a cast   The Becks have arrived on your podcast feed with a brand new episode on the 2016 film Arrival, based on the 1998 story Story of Your Life by Ted Chiang. In this episode, they talk about having pets, how they met, and obviously the film and story in question. Enjoy!   ko-fi.com/soonmajorpod   linktr.ee/soonmajorpod   Next Episode Homework: In The Heat of the Night (1967)

Text us a comment or question!If fat loss feels harder than it used to… if your energy is inconsistent… or if you've been doing “all the right things” with very little to show for it… This episode is for you. A sluggish metabolism doesn't mean your body is broken. It means it's been trained to conserve, not perform. In this episode, Coach Kevin lays out a clear, realistic 90-day roadmap to rebuild your metabolism after 50 — without crash dieting, endless cardio, or extreme routines you can't sustain. This is the grown-up approach to getting strong, lean, and energized again. 

Haim Ohayon came to the United States in 1996. He was over 40 years old, homeless, and he didn`t speak any English. Haim's skills were limited to fixing cars. In New York, this provided employment opportunities for someone who had limited proficiency in English. January 2009 was the last month Haim worked as an auto mechanic. He was fired from his position for refusing to compromise his integrity by creating false charges against his customers. Now Haim was unemployed, over 50 years old, and without job opportunities. “When one door closes, another one opens” Haim needed to make an income, and he explored many possibilities. While Haim had limited formal skills, he knew that he loved working with people. After exploring several different options, he read about coaching, a career that assists people in finding the answers they are looking for to succeed in their own lives. That is what coaches do. Haim enrolled and completed a coaching course in 2009. This has become his calling. Haim works with people and educates them on life and business issues and assists them in doubling and tripling their businesses. Haim had a TV show and was the organizer of a meetup group that met twice monthly for 3 years until it was cancelled due to the pandemic.He has a YouTube channel. Haim has been assisting, serving, and supporting people in this capacity for the past 15 years. Contact Haim Ohayon:InMotionCoach.com516-424-6289https://www.youtube.com/channel/UCU-kyCx_mX4eZrqZJqsnqsQhttps://www.linkedin.com/in/haim-ohttps://www.youtube.com/channel/UCU-kyCx_mX4eZrqZJqsnqsQhttps://www.linkedin.com/in/haim-oDr. Kimberley LinertSpeaker, Author, Broadcaster, Mentor, Trainer, Behavioral OptometristEvent Planners- I am available to speak at your event. Here is my media kit: https://brucemerrinscelebrityspeakers.com/portfolio/dr-kimberley-linert/To book Dr. Linert on your podcast, television show, conference, corporate training or as an expert guest please email her at incrediblelifepodcast@gmail.com or Contact Bruce Merrin at Bruce Merrin's Celebrity Speakers at merrinpr@gmail.com702.256.9199Host of the Podcast Series: Incredible Life Creator PodcastAvailable on...Apple: https://podcasts.apple.com/us/podcast/incredible-life-creator-with-dr-kimberley-linert/id1472641267Spotify: https://open.spotify.com/show/6DZE3EoHfhgcmSkxY1CvKf?si=ebe71549e7474663 and on 9 other podcast platformsAuthor of Book: "Visualizing Happiness in Every Area of Your Life"Get on Amazon: https://amzn.to/4cmTOMwWebsite: https://linktr.ee/DrKimberleyLinertThe Great Discovery eLearning platform: https://thegreatdiscovery.com/kimberleyl

Dr. Thema shares a heartfelt and inspiring message on rising, growing, and thriving. She combines insightful keys to staying motivated with practical tips for you to move from stagnant and stuck to soaring. Dr. Thema Bryant is a psychologist, author, professor, sacred artist, and minister who is leading the way in creating healthy relationships, healing traumas, and overcoming stress and oppression. Her life changing books include Matters of the Heart, Homecoming, Reclaim Yourself: The Homecoming Workbook, and The Antiracism Handbook: Practical Tools to Shift Your Mindset and Uproot Racism in Your Life and Community and they empower readers to connect with themselves and to others, exploring topics such as: control issues, emotional unavailability, practical activation activities, case studies, and teaching how to shift mindset and patterns around mental health, relationships, and liberation. Dr. Thema Bryant completed her doctorate in Clinical Psychology at Duke University and her post-doctoral training at Harvard Medical Center's Victims of Violence Program. Upon graduating, she became the Coordinator of the Princeton University SHARE Program, which provides intervention and prevention programming to combat sexual assault, sexual harassment, and harassment based on sexual orientation. She is currently a tenured professor of psychology in the Graduate School of Education and Psychology at Pepperdine University, where she directs the Culture and Trauma Research Laboratory. Dr. Thema is an ordained elder in the African Methodist Episcopal Church and leads the mental health ministry at First A.M.E. Church in Los Angeles. Most recently, she was the 2023 president of the American Psychological Association (APA) and is the host of The Homecoming Podcast. Mixed & Edited by Next Day Podcast info@nextdaypodcast.com

Real change doesn't happen through inspiration alone—it happens through formation.The bridge between wanting to change and actually becoming new is found in practices: small, repeatable rhythms that shape our desires and direction over time.  In this episode, Whit George, Blake Zimmerman, and Blaine Bartel explore how spiritual practices are counter-formation, slow and often resistant, but deeply powerful. As we commit to faithful practices—body, mind, and soul—we learn to trust the process, resist the path of least resistance, and allow Jesus to do His quiet, transforming work in us.   Show Notes:    Listen to the weekend message: Your Practice Is the Product of Your Life | https://youtu.be/rLMas97YrjE?si=GfdloWZrTsRmcTvN   Learn more about Blaine Bartel and his mission to help people encounter resurrection out of sexual brokenness: https://www.blainebartel.com/ In this episode Blake references the following books: The Patient Ferment of the Early Church by Alan Kreider Renovation of the Heart by Dallas Willard

It used to be a lot simpler to take out the garbage. The only decision we had to make that day was to take it to the curb. Not so much anymore! Now you've got to make sure you don't put out any grass clippings or limbs with your regular trash. We recycle everything! And those items are supposed to be separated. When we lived in the Metropolitan New York area their rules about garbage disposal were even more complicated. My friend Craig had recently moved there and wasn't familiar with the regulations. He let his garbage pile up for the first few weeks with odoriferous results. He finally found the instructions on handling trash and he told me, "It wasn't that I didn't want to get rid of that garbage, I just didn't know how to." I'm Ron Hutchcraft and I want to have A Word With You today about "Saying Goodbye to the Garbage in Your Life." Some of us face a quandary similar to my friend's, only with the emotional and spiritual garbage of our lives. Things we've done that we wish we could undo. Things we hope no one ever finds out about. The guilty memories that keep replaying in our brain. Not to mention the pain we carry inside. We want to get rid of our garbage, we just don't know how to, and it continues to pile up in our soul. Well, there is a designated dumping ground for our lifetime of garbage. It's on a skull shaped hill with a rugged cross at the top. Our word for today from the Word of God comes from 1 Peter 2:24. Speaking of Jesus, it says, "'He Himself bore our sins in His own body on the cross, so that we might die to sins and live for righteousness.'" See, all the guilt of all the sins that you and I have ever done, God's Son absorbed when He was dying on that cross paying our death penalty for our sin. In Isaiah 53, God graphically describes this dumping of all our sin garbage on His Son. It says, "He carried our sorrows, He was pierced for our transgressions, He was crushed for our iniquities, the punishment that brought us peace was upon Him." Just think! Every lie we've ever told, every angry, hurting word we've ever spoken, Jesus carried it on that cross. Every lustful thought, every immoral act, every adulterous act, every act of violence or selfishness, Jesus the sinless Son of God absorbed it into His soul on that cross. Why? In the words of the Bible, "God so loved the world that He gave His one and only Son." And today this Jesus invites you to bring the accumulated garbage of your life to the cross where he died to forgive it. Jesus said of those who nailed Him to that tree, "Father, forgive them." If He could forgive that, there's nothing you've done that He cannot and will not forgive! But you have to come to Jesus willing to admit that you're a sinner, willing to tell Him that you're putting all your trust in Him to erase your sin from God's book and to give you life forever. You can trade in your guilt for His forgiveness. You can trade in your pain for His healing. You can trade in death for eternal life when you ask the One who died for you to be your own Savior. Have you ever done that? If you're not sure you have; if you're ready to finally be forgiven and clean, let me encourage you to go to our website where we have laid out very simply how you can begin your personal love relationship with Jesus Christ. Go to ANewStory.com. There is no reason to deal with the garbage of your life again. Not when Jesus Christ has shown you what to do with it. Bring all of that garbage of all of your life to Skull Hill where it was already dealt with by Jesus, and leave it there.

In this episode of Gateways to Awakening, I sit down with Robert Lee Camp, leading authority on the ancient science of the cards and author of the best-selling book Love Cards and Cards of Your Destiny. Robert has spent more than three decades researching, teaching, and translating this once-hidden system into a practical tool for modern life.Together, we explore what “destiny cards” actually are, why a standard deck of playing cards mirrors the calendar year with uncanny mathematical precision, and how this system works as a form of spiritual psychology that is both predictive and deeply revealing. Robert shares the lineage of the work through his teacher Arnie Lean, and traces the system back through historical sources such as Olney Richmond's The Mystic Test Book, including the idea that the cards were used as an esoteric framework for understanding fate, karma, and human nature. Big thank you to our mutual friend, Jen Hill, for the introduction! To explore your own cards and receive a free introduction, visit cardsofyourdestiny.comIn this episode, you'll learn:- Why a deck of cards mirrors Earth's calendar (52 weeks, 13 lunar cycles, 4 seasons, 365 days).- What destiny cards are and how your birthday mathematically determines your cards.- The difference between a birth card, planetary ruling card, and decanate ruling card.- Why the Ace of Spades is considered the symbolic “key” of the system.- How karma cards work, and what they reveal about past patterns and current growth edges.- How the four suits map to life stages: hearts (relationships), clubs (knowledge), diamonds (values), and spades (work and mastery).- Why relationship dynamics can be one of the greatest spiritual initiations in a lifetime.- How to use the system to reflect on your past, navigate your present, and forecast what is ahead.Tune in to Gateways to Awakening for more conversations with leading thinkers, creators, and spiritual pioneers shaping the future of consciousness. For more from me: follow my writing on Substack (substack.com/@therealyasmeent), find me on Instagram @TheRealYasmeenT, or visit InnerKnowingSchool.com. You can also check out my latest book, A Glitch In the Matrix: 10 Energy Codes to Become the Main Character of Your Life, #1 New Release in the Self-Help category on Amazon, to learn more. 

In this episode, I talk about Michael Powell and Emeric Pressburger's 1948 film, "The Red Shoes." It centers on Vicky Page, a young ballet dancer whose extraordinary talent brings her into a world where art demands total devotion and where love and ambition collide.I discuss "The Red Shoes" as a meditation on artistic calling, female ambition, and the desire for greatness. I'm interested in how the film portrays a woman who refuses to live a small life, and what happens when her boundless creative drive cannot be contained by the world around her.If you'd like to support my work and get access to bonus episodes and exclusive posts, you can join me on Patreon: patreon.com/herheadinfilmspodcast.You can follow me on Letterboxd. My email is herheadinfilms@gmail.com.My Sources:The Red Shoes (BFI Classics) by Pamela HutchinsonOriginal fairy tale by Hans Christian AndersonIan Christie on The Red ShoesThe Red Shoes: Dancing for Your Life by David EhrensteinLetters to a Young Poet by Rainer Maria Rilke

FREE RESOURCE:  Try our Burnout Archetype Quiz: https://twc-jqgxs.involve.me/archetype-quiz In this episode of Wild Medicine, Dr. Michelle Peris and Dr. Tara Rawana explore the profound importance of enjoying life in the present moment.   They discuss the dangers of delaying gratification and the necessity of intentional living, emphasizing that if we cannot find joy today, we will struggle to find it tomorrow.   The conversation delves into breaking negative thought patterns, creating a permission field for joy, and the power of community and collaboration in personal growth.   They highlight the significance of emotions in our lives and the need for action to facilitate transformation.   The episode concludes with a call to embrace vulnerability, trust in relationships, and the beauty of connection as essential components of a fulfilling life.   Takeaways Enjoyment in the present is crucial for future happiness. Delaying gratification can lead to a lifetime of missed joy. Intentional living requires balancing enjoyment today with planning for tomorrow. Negative thought patterns can trap us in a cycle of dissatisfaction. Creating a permission field for joy allows us to embrace pleasure. Community and collaboration enhance personal growth and transformation. Navigating change requires embracing new sensations and experiences. Emotions play a significant role in shaping our thoughts and behaviours. Taking action is essential for breaking free from negative cycles. Vulnerability and trust are key to forming meaningful connections. Chapters 00:00 Embracing the Present: The Importance of Enjoyment Today 02:33 The Cost of Delayed Gratification: Sacrificing Today for Tomorrow 05:14 Intentional Living: Balancing Enjoyment and Future Planning 08:01 Breaking the Cycle: The Impact of Repetitive Negative Thoughts 10:44 Creating a Pattern Interrupt: Simple Ways to Enhance Daily Joy 13:42 Navigating Change: The Challenge of Embracing New Sensations 16:43 The Journey to Self-Worth: Allowing Ourselves to Enjoy Life 19:19 The Role of Community: Supporting Each Other in Change 25:45 Empowering Growth Through Relationships 27:47 The Power of Collaboration 31:48 The Importance of Connection and Trust 36:28 Embracing the Full Spectrum of Emotions 40:07 Small Changes Lead to Big Transformations 45:27 Taking Ownership of Your Life 49:13 Celebrating Micro Changes and Transformations   Stay Wild. Connect with Dr. Tara on INSTAGRAM Connect with Dr. Michelle on INSTAGRAM FREE RESOURCE:  Click the link and see if the SHED METABOLIC RESET PROGRAM is a good fit for you!  This episode is brought to you by: www.MichellePeris.com Ready to reclaim your Wild? JOIN THE WAITLIST Learn more about The Poppy Clinic: www.poppyclinic.com Is Naturopathic Medicine for you: LEARN MORE HERE Take our HORMONE QUIZ Are you a clinician looking for more impact? START HERE

The 3 Ways Clutter Sneaks into Your Life!Have you ever looked around your home, your schedule, or your responsibilities and thought:“How did my life get this full without me choosing it?”This episode explores how daily, process, and environmental clutter quietly build up — not because of bad decisions, but because of unexamined ones.Most clutter doesn't arrive with intention.It slips in through default yeses, postponed decisions, and systems that were never designed — only reacted to.In this episode, we unpack:How homes and schedules fill up by defaultWhy “I'll deal with it later” becomes permanentHow decision debt accumulates over timeWhy clutter isn't a motivation issue — it's a default living issueThis isn't about fixing yourself or doing more.It's about seeing what entered your life without consent — and choosing again.If you want to see exactly where clutter is running your life — mentally, emotionally, physically, or structurally — take the Clutter Clarity Quiz linked below. It takes just a few minutes and gives you immediate clarity.Your life doesn't need fixing.It needs choosing.Let's Connect!- Work with me - https://www.florasage.com/workwithme- Website - https://florasage.com- YouTube - https://www.youtube.com/florasage

How can healthcare professionals transform burnout and trauma into a revitalized life and practice?In this special episode of Heartline: Changemaking in Healthcare, Dr. Andrea Austin reads from her book Revitalized, focusing on the chapter "The Revitalization." She reflects on her own soul-level burnout at the end of the pandemic, sharing a formula for change: inflection point + inner work + clarity = revitalization. Drawing from personal experiences and expert insights, she emphasizes embracing the past's pain as part of growth, avoiding trauma loops, and intentionally "doing the work" for self-improvement.You'll hear how to:Recognize burnout as a chronic issue requiring inner reflection, not just quick fixes, and frame it as an opportunity for revitalization beyond "bouncing back."Differentiate top-down therapies (like CBT and talk therapy) from bottom-up approaches (like EMDR, somatic experiencing, and art therapy) for trauma healing, especially in high-stress fields like medicine.Understand coaching as a future-focused partnership for unlocking potential, while knowing when to seek therapy first, given high rates of PTSD (40%) and depression (30%) among healthcare workers.Navigate "VUCA" (volatility, uncertainty, complexity, ambiguity) in healthcare, including life quakes like job loss or health crises, and avoid maladaptive coping like overconsumption or addictions.Build vulnerability in hard conversations, reflect on perfectionism, and beware predatory coaching programs while prioritizing ethical, supportive resources.If you're a healthcare professional grappling with burnout, trauma, or the desire for more fulfillment, this episode offers empathetic guidance, reflective questions, and actionable steps to craft your own revitalization.

BIO: Athena Brownson is a Denver realtor, investor, developer, and former professional skier whose resilience through chronic illness fuels her refined, strategic, and client-focused approach to real estate.STORY: Athena lost $130,000 in her first development project when a builder she considered a friend vanished with the upfront funds. Her trust and incomplete due diligence led to a total loss, teaching her that personal relationships can create dangerous blind spots in business.LEARNING: Due diligence is non-negotiable. Trust is a liability. “A simple conversation with someone that we know, like, and trust is invaluable, because they can point out to us the blind spots that we may have missed in our excitement.”Athena Brownson Guest profileAthena Brownson is a Denver realtor, investor, developer, and former professional skier whose resilience through chronic illness fuels her refined, strategic, and client-focused approach to real estate.Worst investment everAthena Brownson entered her first development project with confidence and a seemingly dream team. With a 45-year veteran developer—her father—by her side, she felt prepared. She had saved diligently, owned the land, and chose a builder she'd known for three years, a dear friend's business partner.After multiple interviews where her father asked all the right questions, they felt secure. They signed a contract and paid $130,000 upfront for site clearing, asbestos abatement, and foundation work.Initial excitement turned to unease as progress was glacial. A blue fence went up, and some abatement started, but then communication stopped. Phone lines went dead. Subcontractors began calling Athena directly, asking why they hadn't been paid.The devastating truth emerged: the builder had vanished with the funds. Athena later discovered she was one of eight victims of the same scam. Despite her real estate expertise and her father's decades of experience, they had been outmaneuvered by a trusted contact.Lessons learnedDue diligence is non-negotiable: Trust is not a replacement for verification. Athena's key takeaway was the need for exhaustive due diligence: calling not just a few references, but a comprehensive list of past and current clients to hear the unfiltered story of their experiences.Friendship clouds judgment: A personal connection created a dangerous blind spot. It made her and her experienced team less likely to probe aggressively or assume the worst, a bias scammers often exploit.Assume the worst, hope for the best: The mindset must shift from “I trust you until you prove me wrong” to “Show me consistent, verifiable proof that you are trustworthy.” In business, healthy skepticism is a necessary form of self-defense.Measure twice, cut once: This adage applies to money and contracts. Double and triple-check every detail, every claim, and every line item before funds change hands.Andrew's takeawaysMoney is life energy: Andrew referenced the classic book Your Money or Your Life, emphasizing that money represents hours of your life traded for it. Guarding it fiercely is an act of...

“The gods prefer shenanigans.” The battle with the necromancer and skeletal hulk continues.  Episode Artwork by Mike Broken Tusk Rising Cover Artwork by Shaun @shaunmakes Tales of Bob Cover Artwork by @CosmicAmazing Audio Production by Jessica Featuring: Mike as The GM Ashley as Aklep Jessica as Xankath Josh as Ivan Pavel as Luukallo — Need More Bob in Your Life?  Check out our other (NSFW) podcast, House of Bob Apple Podcasts Spotify — Support the Show: Patreon Merch Store Etsy Contact Us: Discord hobcast.com Twitter Instagram Facebook Email — Thank you so much to our current Patreon supporters! This podcast would not be possible without you. Bradley Brandon Christine Connor D Chan Dan Klip-Klop Detheros Elli Ethan Garbanzo Jessica C Jessica D Josh F Josh J Keith Mark Michael Padraig Pavel Ranger Sadie Sarah Scooter Shaka Team EAMONN The Pink Pastor Thomas Tom W Waffelpokalypse — Music by: Mike Hammockhttps://mikehammock.bandcamp.com/ Licensed under Creative Commons: By Attribution 4.0http://creativecommons.org/licenses/by/4.0/ Tales of Bob uses trademarks and/or copyrights owned by Paizo Inc., used under Paizo's Community Use Policy (paizo.com/communityuse). We are expressly prohibited from charging you to use or access this content. Tales of Bob is not published, endorsed, or specifically approved by Paizo. For more information about Paizo Inc. and Paizo products, visit paizo.com. The Quest for the Frozen Flame adventure path Book Two was written by Jessica Catalan. Learn more about your ad choices. Visit megaphone.fm/adchoices

Jeremy Roadruck is a men's mentor, relationship strategist, and multi-time best-selling author, known for his no-nonsense, results-driven, yet playful approach to helping men fix their marriages, reconnect with their kids, and lead with confidence. A husband, father, international champion, and 6th-degree Kung Fu Master, Jeremy is also a hypnotherapist, neuro-strategist, former soldier, and former factory worker—so he knows what it means to work hard and play smart. He's helped high-performing dads master the three relationships that matter most—life, love, and business—in weeks instead of years. His newest book, Lead Like a King: The Proven Roadmap to a Stronger Marriage, Deeper Connections, and Unstoppable Leadership, delivers a proven system to turn respect, admiration, and connection into a natural way of life. Through his book, companion self-study course, and consulting, Jeremy shows men how to stop tolerating “good enough” and start leading with presence, playfulness, and power. Life is too short for bad food, bad marriage, or bad business.Contact Jeremy Roadruck:24hourmarriagereset.com up and running ($27 course), plus The Silent Throne (book, kindle, free on youtube), working on releasing Lead Like a King, and already have Your Best Child Ever: Is This Game Worth Winning out on kindle, paperback, and audible.Instagram: https://www.instagram.com/JeremyroadruckFacebook: https://www.facebook.com/Jeremyr.thekungfuguyLinkedIn: https://www.linkedin.com/in/thejeremyroadruck/YouTube: https://www.youtube.com/@jeremyroadruckTikTok: https://www.tiktok.com/@jeremyroadruckDr. Kimberley LinertSpeaker, Author, Broadcaster, Mentor, Trainer, Behavioral OptometristEvent Planners- I am available to speak at your event. Here is my media kit: https://brucemerrinscelebrityspeakers.com/portfolio/dr-kimberley-linert/To book Dr. Linert on your podcast, television show, conference, corporate training or as an expert guest please email her at incrediblelifepodcast@gmail.com or Contact Bruce Merrin at Bruce Merrin's Celebrity Speakers at merrinpr@gmail.com702.256.9199Host of the Podcast Series: Incredible Life Creator PodcastAvailable on...Apple: https://podcasts.apple.com/us/podcast/incredible-life-creator-with-dr-kimberley-linert/id1472641267Spotify: https://open.spotify.com/show/6DZE3EoHfhgcmSkxY1CvKf?si=ebe71549e7474663 and on 9 other podcast platformsAuthor of Book: "Visualizing Happiness in Every Area of Your Life"Get on Amazon: https://amzn.to/4cmTOMwWebsite: https://linktr.ee/DrKimberleyLinertThe Great Discovery eLearning platform: https://thegreatdiscovery.com/kimberleyl

Discover all of the podcasts in our network, search for specific episodes, get the Optimal Living Daily workbook, and learn more at: OLDPodcast.com. Episode 3278: Robert Farrington offers a practical roadmap for breaking the paycheck-to-paycheck cycle by identifying whether you're dealing with a spending or income problem and taking strategic action. From cutting fixed expenses and high-interest debt to building extra income streams and automating savings, this guide empowers you to get one month ahead financially, and stay there. Read along with the original article(s) here: https://thecollegeinvestor.com/17046/how-to-get-one-month-ahead-financially/ Quotes to ponder: “You can't undo the past but you can control your future.” “Keep up the momentum. Set your next financial goal. I promise, it will be well worth all of your hard work.” “Accept the situation you're in and get fired up enough to do something about it.” Episode references: Your Money or Your Life: https://www.amazon.com/Your-Money-Life-Transforming-Relationship/dp/0143115766 Learn more about your ad choices. Visit megaphone.fm/adchoices

How do I hear God's voice? What were the first followers of Jesus like? In this episode, pastor and author Kirk Freeman is back with Emma Dotter to discuss Acts 2:42-47 and how the Holy Spirit empowered the early church in their fellowship. They explore helpful ways to discern the Spirit's voice and unpack how this example of church gatherings and functions guide the way we do church today. // ADDITIONAL VERSES MENTIONED: Psalm 103: 1-22, 6; Acts 2: 4; John 14: 15, 21, 29; Romans 8; John 15: 9-11; 1 Peter 2: 23; Acts 1: 8; Philippians 4: 1; Romans 8: 17  // RESOURCES FOR FURTHER STUDY:  Watermark's doctrinal statement on the Holy Spirit: (https://www.watermark.org/about/full-doctrinal-statement) Threads: Weaving Discipleship into the Fabric of Your Life by Kirk Freeman (https://www.amazon.com/Threads-Weaving-disciple-making-fabric/dp/B0CNKXBMZN/ref=sr_1_1?crid=2NO5MWLVB07S8&dib=eyJ2IjoiMSJ9.ZVudhJOVXAMUTMHuv23neg.C3TzzhQ2E5uDMl6s3xyf1E7buSOBMJVB0KOpH8OwN1o&dib_tag=se&keywords=threads+kirk+freeman+book&qid=1766445136&sprefix=threads+kirk+%2Caps%2C150&sr=8-1) A Spirit-Led Church: Sermon series from Watermark Community Church (https://www.watermark.org/series/1471) Questions about the Holy Spirit? Visit GotQuestions: (https://www.gotquestions.org/who-Holy-Spirit.html) // RELATED JOIN THE JOURNEY EPISODES:  “S4:263 – Introduction to the book of Acts” (https://podcasts.apple.com/us/podcast...)  “S1:191 – What if my possession of the Spirit feels mundane?” (https://podcasts.apple.com/us/podcast/join-the-journey/id1600151923?i=1000580618106) // WHAT IS JOIN THE JOURNEY? Join The Journey is a realistic daily Bible reading plan that helps followers of Jesus at Watermark Community Church and beyond enjoy abiding in Jesus together. Join The Journey Jr. is designed to help parents guide their kids in Bible reading throughinteractive and age-specific lessons. In 2026, we're studying the book of Acts—one passage per week. For another year, teaching on Sunday will align with each week's passage. Then, for the next six days, we'll return to the same passage with fresh focus, exploring insights about who God is and how we can enjoy him more deeply. Monday through Saturday, we'll approach the same passage from a different perspective each day—whether observation, interpretation, prayer, or another spiritual practice—to gain a deeper understanding and appreciation for God's Word. Then, watch or listen to the video podcast to tackle the week's toughest verses and discover key historical, theological, and practical insights. Daily Bible lessons for adults: https://jointhejourney.com Daily Bible lessons for parents and families: https://jointhejourney.com/jr Weekly Bible podcast for kids: https://podcasts.apple.com/us/podcast...  // MORE RESOURCES FROM JOIN THE JOURNEY:  Digital Bible study resources: https://jointhejourney.com/resources Previous years' print curriculum: https://www.amazon.com/stores/Waterma... Contact the Join The Journey team: jointhejourney@watermark.org  // CHAPTERS