Podcasts about Amma

What separates elite leaders from those who never break through? It's not motivation or even talent — it's the discipline to stay focused, make decisions when it's uncomfortable, and build habits that align with who you want to become. In this episode of The Game Changing Attorney Podcast, Michael Mogill tackles questions from law firm owners about decision-making, long-term planning, and how to maintain consistent performance when things get chaotic. You'll learn how to shift your mindset from reacting to leading, and how to engineer habits and environments that make success inevitable. Here's what you'll learn: What it takes to stay disciplined when motivation fails How elite leaders create leverage through “Future Time” Why identity — not willpower — is the key to lasting habits If you're ready to lead your firm at a higher level, this episode will show you how to build the internal foundation that drives consistent external results. ---- Show Notes: 00:00 – Introduction: Gadgets, Cold Plunges & Energy Boosts 06:24 – Why This Podcast Has No Sponsors (and Why That Matters) 08:03 – Navigating Hard Decisions: Choose, Own, and Move Forward 13:49 – Future Time: The Most Important Meeting You'll Ever Take 17:06 – Strategic Thinking: Identifying the One Problem That Unlocks Growth 18:40 – Habit Stacking for Busy Law Firm Owners 21:18 – Designing an Environment That Makes Good Habits Easy 24:16 – From Cold Plunges to Consistency: The Power of Identity 28:11 – Final Thoughts: Lead Like the CEO You Want to Become ---- Links & Resources: Streaks App  Atomic Habits by James Clear Savannah Bananas  Tony Robbins Tim Cook  Rory McIlroy ---- Do you love this podcast and want to see more game changing content? Subscribe to our YouTube channel. ---- Past guests on The Game Changing Attorney Podcast include David Goggins, John Morgan, Alex Hormozi, Randi McGinn, Kim Scott, Chris Voss, Kevin O'Leary, Laura Wasser, John Maxwell, Mark Lanier, Robert Greene, and many more. ---- If you enjoyed this episode, you may also like: Episode 291 — Tim Grover — The Dark Side of Achievement Episode 229 — David Goggins — Never Finished: Unshackle Your Mind and Win the War Within Episode 258 — AMMA — The Power of No: Setting Boundaries for Focused Growth

In today's podcast I talk about: Day 2 of Rameshwaram trip. Visit to Pamban bridge, Dr Kalam house and grave, Dhanushkodi. Back to Madurai, Dinner at Amma mess. Wonderful trip.

On this episode, Sathyadev rejoins the podcast for the first time since episode 184. Sathyadev catches us up on everything that has happened since that episode aired a year ago. He talks about what it was like joining his guru, Amma, as she traveled across the US. We dive into the concept of consciousness and how we are all connected to one another. Sathyadev explains the importance of detaching from our ego and identity to truly become conscious and connected. Also, he discusses what kundalini is and some of the things to be aware of if you choose to learn about it further. Join us in this healing conversation on consciousness, creativity, and mental health. The Five Pillars to Create a Meaningful Life Available on Amazon: https://a.co/d/eiX6bQ9

Courtney feels like a giant balloon, Jon's NEW book release day, Courtney is a sound effects machine, and Riley Green and Megan Maroney spotted in an airport together.

When I was a new mom, I wanted to be a supermom like the ones portrayed in the media- 10 hands and doing something different and supposedly productive with each of them. I found it powerful without realizing that it was actually stressing me out. Realistically koi bhi itni sari cheezen ek time pe nahi kar sakta hai- bachche ka dhyan rakho, khana banao, ghar dekho, family ka dhyan rakho, relax karo, workout karo aur phir jab bachcha bada ho jaye to uske school se leke after school activities dekho aur baki sab to karna hi hai. Oh and if you have a job besides all of this unpaid work, consider the load doubled. Hume lagta hai ki wah humare paas to superpower hai hum sab kar lenge par isse hota hai burnout, stress and lots of other mental and physical health issues.This is one of those discussions that never gets old and when done right provides good takeaways. I am discussing all of this with author Bhakti Mathur. If you are an Indian mother, you are probably familiar with Bhakti Mathur's Amma tell Me series. It's a series of children's picture books about Indian festivals and mythology. After a long stint as a banker, she now juggles her time between her writing, her passion for yoga and long-distance running, and her family. She lives in Hong Kong with her husband, their two children and two dogs. She is also the author of Amma, Take Me Series. The latest addition to the series is Amma, Take Me to the Hill Forts of Rajasthan which my daughter loved and so did I.In this episode, Bhakti and I talk about the idea of a good mother, mom-guilt, equal marriage, mental load and how to overcome the overwhelm of it all.Help me bring more such conversations to you, please follow Little Fixes on your podcast app, rate us and share with your mom-friends.Connect with Bhakti Mathur- https://www.instagram.com/bhaktimathur98/Episode Webpage- https://littlefixescollective.com/192/Use my special link https://zencastr.com/?via=maitri to save 30% off your first month of any Zencastr paid plan.Support the Podcast- https://www.buymeacoffee.com/maitrivermaConnect with @littlefixespodcast on Instagram https://www.instagram.com/littlefixespodcast/ Email me- littlefixespodcast@gmail.comDisclaimer- This podcast is only for educational and entertainment purposes. It doesn't intend to replace the guidance of trained professionals like doctors, psychiatrists, psychologists and coaches etc.Music Credit- Epidemic Sound

Saraid de Silva (she/her) is a Sri Lankan/Pakeha writer living in Tamaki Makaurau, Aotearoa New Zealand. Saraid has worked as an actor, theatre-maker, voiceover artist. In 2022, she graduated from Auckland University's Creative Writing Masters and became the inaugural winner of the Crystal Arts Trust Prize. She has also released three seasons of the documentary series Conversations With My Immigrant Parents for Radio New Zealand with co-creator Julie Zhu, and works as a writer for NZ's prime-time soap opera, Shortland Street.Amma has been praised by Diet Paratha, NZ Poet Laureate Chris Tse and Spinoff. It was also nominated for this year's Women's Prize for Fiction. Get the book here or at your local seller. “Annie Ano Fernando doesn't care much for men”And so begins a novel exploring trauma, displacement, queerness over three generations and three continents of the Sri Lankan diaspora.*1951, Singapore. Ten-year-old Josephina kills her abuser.This event becomes the defining moment in the lives of Josephina, her daughter Sithara, and her granddaughter Annie.The effects cascade through generations as Annie sets out across the world to discover what happened to fracture her family.Set in Sri Lanka, Singapore, New Zealand, Australia and London, Amma is a novel about how the past lives with us forever, and wherever we are.Written in sensuous, vivid prose, Amma is a story of the rich history and unknown future of the Sri Lankan diaspora -  and of one family desperately trying to find peace.

Chris From Brooklyn is back at it again talking the USC student who won a competition for having the fastest jizz, Trump's Tarrifs continues to terrorize markets, the sweeping victory coming for the democrats in the next major election, Chuck Schumer's "very strong" letter to Trump, Trump not 86ing the deportation of 500 students who were critical of Israel, the PELOSI stock act and how it was destined to fail, the American who tried to move to Ghana and it didn't turn out well and more before Abeid Mitchell joins the show to discuss his attempt to win the light heavyweight title at AMMA in Houston on May 10th, preview the upcoming The Armored League show coming up on May 23rd at American Dream Mall and his path to victory in the biggest fight in his career, who he wants to fight once he gets the belt and so much more!Record Date: 4/30/25WATCH CHRIS' NEW "NOT SPECIAL" HEREhttps://www.youtube.com/@HighSocietyRadioPodcastSUPPORT OUR SPONSORhttps://xbar.com/ - Get JACKED with an X Bar!Email Your Ask The Goon Questions to: askthegoon@gmail.comFollow the host on socialChris From Brooklyn Twitter https://twitter.com/ChrisFromBklynHigh Society Radio Instagram https://www.instagram.com/highsocietyradioHigh Society Radio YouTube http://bit.ly/HSRYoutubeHigh Society Radio Twitter https://twitter.com/HSRadioshowWebsite https://gasdigital.comFollow The Guest On SocialAbeid Mitchell Instagram: https://www.instagram.com/senpai_abeid/Abeid Mitchell Threads: https://www.threads.com/@senpai_abeidMike Harrington Twitter https://twitter.com/TheMHarringtonMike Harrington Instagram https://www.instagram.com/themharrington/Notes Of A Goon is a weekly podcast where Goon of note, Chris from BK sits down and yells about childhood trauma, how he'd fix the whole damn country, and all sorts of other bullshit. All while splitting a six pack with you the listener. Chris is joined by his stalwart producer and homeless weirdo Mike Harrington on this journey of self reflection and yelling. There's lots of yelling.See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

In this episode of The Game Changing Attorney Podcast, Michael Mogill takes on some of the toughest challenges law firm owners face today — hiring with confidence, retaining great talent, and knowing when to invest in people versus when to walk away. From evaluating high-salary candidates to navigating internal disagreements over ambitious hires, this episode offers real-world guidance for leaders who want to build teams that last. Here's what you'll learn: How to evaluate whether you're paying for potential or proven performance Why a candidate asking about growth isn't a red flag — it's a sign of ambition How to create a culture of development that retains your best people If you've ever struggled with whether to bet on potential or proven experience — or feared the long-term cost of developing talent that might leave — this conversation is for you. ---- Show Notes: 00:00 – Introduction: New Studio, New Format 01:23 – The 3 Types of Decision-Makers: Doubters, Delayers, and Deciders 06:27 – Hiring Dilemma: Pay for Potential or Proven Experience? 10:36 – Time vs. Money: The Real Cost of Training New Talent 11:05 – Navigating Offers: Is Asking About Growth a Red Flag? 13:13 – Choosing the Right Hire: Heart, Intent, and Fit 14:26 – Poaching Problems: When You're the “Training Ground” Firm 16:06 – Why You Should Still Invest in People (Even if They Leave) 18:11 – Creating Career Paths That Inspire Long-Term Loyalty ---- Links & Resources: Patrick Mahomes Atlanta Falcons ---- Do you love this podcast and want to see more game changing content? Subscribe to our YouTube channel. ---- Past guests on The Game Changing Attorney Podcast include David Goggins, John Morgan, Alex Hormozi, Randi McGinn, Kim Scott, Chris Voss, Kevin O'Leary, Laura Wasser, John Maxwell, Mark Lanier, Robert Greene, and many more. ---- If you enjoyed this episode, you may also like: 278. Adam Alter — From Stuck to Unstoppable: Gaining and Keeping Momentum 245. Sheila Heen — How to Master Difficult Conversations 219. AMMA — A Deeper Look at Leadership

Əksəriyyətimiz düşünür ki, böyük layihələr, önəmli işlər üçün uzun saatlara ehtiyacımız var. Amma həqiqət budur: hər gün cəmi 30 dəqiqə ayırmaq kifayətdir ki, illərlə təxirə saldığın ideyanı həyata keçirəsən.Bu metodun ən güclü tərəflərindən biri də budur:Həyat hər gün ideal olmur. Bəzən çox işimiz olur, bəzən yorğun, halsız, motivasiyasız oluruq. Amma 30 dəqiqəni tapmaq – bu mümkün olan bir şeydir.Bu epizodda bu sadə, amma güclü yanaşmanı danışacağıq: Hər gün az da olsa, davamlılıqla işləmək.Bu günün sonuna qədər özünə bir zaman təyin et. Cəmi 30 dəqiqə. Və o vaxtı sadəcə bir ideyan, bir layihən üçün ayır. Qoy bu gün sənin ilk "davamlılıq damlası" olsun.

What if your firm's greatest asset is slipping through your fingers, unnoticed? In this episode of The Game Changing Attorney Podcast, Michael Mogill dives deep into the pressing issues law firm owners face as leaders and attorneys. From understanding the critical dynamics of attorney retention to bridging the ever-present generational gaps within the workplace, this episode offers actionable insights to help grow your firm effectively. Here's what you'll learn: How to identify the true reasons behind attorney departures and enhance their experience with effective feedback systems Strategies to unify your firm's culture across different generations, fostering continuous learning and effective mentorship How to manage feedback without hindering productivity, focusing on actionable insights that drive business growth As you navigate the challenges of attorney retention and workplace culture, these insights could be the key to unlocking your firm's potential. Don't let minor issues stand in the way of major progress — tune in and discover how to foster growth, unity, and a shared vision within your team. ---- 00:00 – Introduction 03:14 – Why Top Talent Really Leaves Your Firm 10:33 – Creating a Future Your Team Wants to Be Part Of 15:22 – Stay Interviews vs. Exit Interviews: Getting Real Feedback 19:18 – Bridging the Generational Gap in Firm Culture 26:30 – Avoiding Open Door Overload: When Feedback Goes Too Far 34:05 – Separating Signal from Noise: Feedback That Actually Matters 39:58 – A Culture of Ownership: Encouraging Problem Solvers 43:01 – Final Thoughts and Takeaways ---- Links & Resources: Game Changers Summit ---- Listening to this episode but want to watch it? Check it out on Spotify.  Do you love this podcast and want to see more game changing content? Subscribe to our YouTube channel. ---- Past guests on The Game Changing Attorney Podcast include David Goggins, John Morgan, Alex Hormozi, Randi McGinn, Kim Scott, Chris Voss, Kevin O'Leary, Laura Wasser, John Maxwell, Mark Lanier, Robert Greene, and many more. ---- If you enjoyed this episode, you may also like: 278. Adam Alter — From Stuck to Unstoppable: Gaining and Keeping Momentum 245. Sheila Heen — How to Master Difficult Conversations 219. AMMA — A Deeper Look at Leadership

How do you know if your asphalt mix will perform before it's even compacted? In this episode of Smart Asphalt, host Dr. Amma Agbedor uncovers a breakthrough wireless particle size sensor that tracks workability in real time. Developed with Penn State and Ingevity, this innovation is already helping engineers make faster, smarter decisions on actual paving projects. Watch now to see how real-world asphalt just got a tech upgrade.#YYCBusiness #SmartAsphalt #AsphaltInnovation #PavementEngineering #WirelessSensor #Workability #InfrastructureTech #SustainableRoads #ConstructionInnovation #CivilEngineering #CalgaryBusinessAbout the Guest:Richard Steger is a Senior Technical Manager at Ingevity, specializing in asphalt innovation and additive technologies that enhance mix performance and workability.Connect with Richard on LinkedIn!Dr. Shuai (Simon) Yu is an Assistant Professor of Engineering at Penn State Altoona, with expertise in smart sensor development and real-time monitoring of construction materials.Connect with Simon on LinkedIn!Dr. Shihui Shen is a Professor of Engineering at Penn State Altoona, known for her research in asphalt materials, pavement sustainability, and advanced testing methods.Connect with Shihui on LinkedIn!About the Host: Dr. Amma Agbedor is a professional engineer and host of Smart Asphalt, known for translating advanced asphalt research into real-world paving solutions. A contributor to Asphalt Magazine and advocate for sustainable road construction, she brings deep technical insight and industry experience to every conversation. She is also the founder of DeiLune, a platform supporting artisans in developing communities.Connect with Amma on LinkedIn and visit DeiLune!Smart Asphalt explores the intersection of technology, materials, and innovation in the world of pavement engineering. The series features conversations with experts across industry, academia, and government to uncover fresh ideas, practical solutions, and forward-thinking strategies shaping the future of infrastructure. Each episode offers meaningful insights for professionals looking to stay informed, inspired, and ahead of the curve in the evolving world of asphalt.Smart Asphalt is also the ideal choice to showcase your contributions to the community, inspire others to get involved, promote your business and:-Reach a global audience via the YYC Business website and the MegaPixxMedia YouTube channel. -Gain additional viewers of Local Lens episodes through free publication on YYC Calgary Business social media platforms. -Download the Local Lens episode to your personal and company social media pages.Episodes are also available in podcast format, and you can listen to them on Spotify, Apple Podcast, and Google Podcasts.Filmed and edited by ENTA Solutions.

29 March 2025 / 29 Ramadhan 1446'Detailed Tafseer of Juz Amma, Dhikr and Dua' with Maulana Junaid Rumaney

Are you struggling to let go of day-to-day tasks, even though you know it could propel your firm to new heights? In this episode of The Game Changing Attorney Podcast, Michael Mogill breaks down the essential moves every attorney must make to go from operator to leader — and why your firm's growth depends on it. You'll uncover the exact strategies to get out of the weeds, elevate your brand, and drive insane levels of trust, performance, and profitability. Here's what you'll learn: The importance of identifying and delegating tasks outside your unique skill set to focus on high-impact activities that drive your firm's scalability How to leverage your personal brand to cultivate a firm-wide standard of excellence, ensuring clients' trust beyond your direct involvement Strategies for stepping back from individual case management to embrace a leadership role that helps elevate your law firm and build a robust practice Whether you're a solo practitioner or running a fast-growing team, this episode delivers real talk and real strategy to help you define success on your terms — and build the law firm of the future. ---- 00:00 – Introduction 02:24 – Letting Go: Why Control Limits Growth 06:42 – When Is the Right Time to Step Back? 13:05 – Transitioning from Personal Brand to Firm Brand 18:53 – Building a Reputation Beyond Yourself 23:50 – Shifting Responsibilities: Highest & Best Use of Time 28:36 – Playing to Your Strengths (and Hiring to Cover the Rest) 34:22 – The Value of Operational Leadership: Hiring Your Game Changer 40:11 – Final Thoughts and Takeaways ---- Links & Resources: John Morgan University of Alabama JP Morgan Chase Charles Schwab Disney World ---- Listening to this episode but want to watch it? Check it out on Spotify.  Do you love this podcast and want to see more game changing content? Subscribe to our YouTube channel. ---- Past guests on The Game Changing Attorney Podcast include David Goggins, John Morgan, Alex Hormozi, Randi McGinn, Kim Scott, Chris Voss, Kevin O'Leary, Laura Wasser, John Maxwell, Mark Lanier, Robert Greene, and many more. ---- If you enjoyed this episode, you may also like: 244. Rex Elliott — Committed to Impact: Transforming Adversities into Opportunities 287. Dan Martell — Buy Back Your Time: Mastering the Art of Delegation 308. AMMA — Overcoming Doubt: Turning Fear into Fuel

#booksthatspeak #prathambooks #chikchikgirl #चिक-चिक लड़की #family #fun #books #kids #reading #library #storyweaverMona loves to complain. Sometimes about the tasty khichdi her Amma cooks and sometimes about Dada's long legs. Meet the chik-chik girl and her family.Thanks to Storyweaver for the story.Original story Chik-chik Girl by Pratham BooksWritten by Komilla RaoteIllustrated by Shubhshree MathurTranslated by Parul BatraNarrated by Asawari Doshiचिक-चिक लड़की (Hindi), translated by Parul Batra, published by Pratham Books (© Pratham Books, 2024) based on the original story Chik-chik Girl (English), written by Komilla Raote, illustrated by Shubhshree Mathur, published by Pratham Books (© Pratham Books, 2024) under a CC BY 4.0 license on StoryWeaver.Instagram: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.instagram.com/booksthatspeak/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Story's Video: ⁠https://youtu.be/stV27mSw3-M⁠⁠⁠⁠⁠⁠⁠To receive updates about Online and Offline storytelling events from Books That Speak, join the whatsapp group: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://chat.whatsapp.com/BuBaOlkD2UACckOdYk4FDg⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Listen to the podcast:iTunes : ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://podcasts.apple.com/us/podcast/books-that-speak/id1287357479⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Watch Videos:YouTube: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠https://www.youtube.com/booksthatspeak⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Website: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠http://www.booksthatspeak.com/⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠Email: ⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠contact.booksthatspeak@gmail.com⁠⁠⁠⁠⁠⁠⁠⁠⁠⁠#booksthatspeak #stories #readaloud #hindistories #indianstories #kids #kidsstories #readbooks #books

What does it take to rise above the noise and become the firm that lands the game changing cases in an industry drowning in competition? In this episode of The Game Changing Attorney Podcast, Michael Mogill explores the dynamic intersection of marketing and legal expertise, uncovering the strategies that law firm leaders need to thrive in a rapidly evolving world. As technological advancements continue to reshape how we operate, understanding the balance between innovation and traditional practices becomes crucial. Here's what you'll learn: How to capture the attention of potential clients through innovative marketing techniques that make your law firm stand out in a content-saturated market The importance of merging marketing prowess with legal expertise to ensure your skills are recognized and you're securing the best cases How to evaluate and optimize your online advertising strategies and intake processes to maximize conversions for sustainable and scalable growth Discover what it takes to not just survive, but dominate in your space. Push past limits, break through barriers, and lead your firm into a future filled with massive growth and opportunity. Whether you're an industry titan or an up-and-comer hungry to make your mark, this is where you get the tools, mindset, and strategies to turn vision into reality. ---- 00:00 – Introduction 03:11 – Why Best Known Beats Best: The Visibility Advantage 07:26 – Cutting Through the Noise: Standing Out in a Saturated Market 12:42 – The Role of Content: Engagement vs. Vanity Metrics 16:30 – Expertise vs. Attention: What Actually Drives Authority 20:45 – Social Media Strategies: How to Make Your Firm Impossible to Ignore 24:52 – Why More Budget Isn't Always the Answer 29:14 – Measuring What Matters: Tracking Impact, Not Just Spend 33:29 – Final Thoughts and Takeaways ---- Links & Resources: Tesla Powerwalls Starlink Call of Duty David Goggins Joe Rogan ---- Listening to this episode but want to watch it? Check it out on Spotify.  Do you love this podcast and want to see more game changing content? Subscribe to our YouTube channel. ---- Past guests on The Game Changing Attorney Podcast include David Goggins, John Morgan, Alex Hormozi, Randi McGinn, Kim Scott, Chris Voss, Kevin O'Leary, Laura Wasser, John Maxwell, Mark Lanier, Robert Greene, and many more. ---- If you enjoyed this episode, you may also like: 280. Rory Vaden — Reputation Precedes Revenue: Mastering the Art of Personal Branding 215. Flo Rida — Industry Innovation, Commitment to Your Craft, and Hit-Making 333. AMMA — Win More High-Value Cases: How to Build a Brand Clients Trust

How can law firms ride the wave of AI innovation to transform their practice, outpace competitors, and deliver unparalleled legal services? In this episode of The Game Changing Attorney Podcast, Michael Mogill delves into the rapidly evolving world of AI and its profound implications for the legal sector. As the legal industry stands on the brink of a technological revolution, understanding and integrating AI can position law firms at the forefront of innovation. Here's what you'll learn: How AI innovation is accelerating at an unprecedented pace, with tech giants competing to push boundaries and approach artificial general intelligence Why experimenting with AI tools like ChatGPT and DeepSeek is crucial for discovering new opportunities and gaining competitive advantages The balance between leveraging AI for efficiency in transactional tasks and maintaining the human touch in areas like relationship building and strategic decision-making By embracing AI, law firms can enhance their efficiency, broaden their service capabilities, and focus on high-value strategic work that only humans can do best. This episode is your guide to understanding how AI can be integrated into your practice, creating a seamless blend of technology and human expertise to drive your firm's success into the future. Join us to explore how you can leverage AI to redefine your legal practice and ensure your firm remains a formidable competitor in an ever-evolving landscape. ---- Show Notes: 00:00 – Introduction 03:11 – The Rapid Evolution of AI and Its Competitive Landscape 07:45 – Cutting Through the Noise: Identifying AI Tools That Matter 12:32 – Experimentation and Curiosity: The Key to AI Adoption 17:09 – AI vs. Human-Driven Work: Finding the Right Balance 22:47 – The Future of Law Firms: Efficiency, Automation, and Strategic Work 28:15 – How AI is Reshaping Legal Services and Client Expectations 32:50 – The Truth About AI Replacing Lawyers: What's Actually Changing 38:10 – Final Thoughts and Takeaways ---- Links & Resources: ChatGPT Deep Seek Elon Musk Grok Three Anthropic Gemini Satya Nadella Tesla ---- Listening to this episode but want to watch it? Check it out on Spotify.  Do you love this podcast and want to see more game changing content? Subscribe to our YouTube channel. ---- Past guests on The Game Changing Attorney Podcast include David Goggins, John Morgan, Alex Hormozi, Randi McGinn, Kim Scott, Chris Voss, Kevin O'Leary, Laura Wasser, John Maxwell, Mark Lanier, Robert Greene, and many more. ---- If you enjoyed this episode, you may also like: 321. Kyle Bachus — Harnessing Technology for Legal Success [Encore Edition] 289. John Morgan — Grow or Die: The Mindset of a Champion [Encore Edition] 194. AMMA — The Harsh Truth About Entrepreneurial Success

Denna vecka är Asabea borta på jobb så Opokua gästas av en annan amningsexpert nämligen Maria, mer känd som @mindful_milk på instagram. Vi pratar om vad vi kan göra för att gynna amningen. Vi snckar om förberedelser, hur mycket omgivningen kan spela en roll och hur vi kan använda mindfulness för att få bättre förutsättningar. Enjoy! Get bonus content on Patreon Hosted on Acast. See acast.com/privacy for more information.

Could the secret to your law firm's breakthrough success be hidden in the art of prioritizing challenges and effectively leveraging resources? In this episode of The Game Changing Attorney Podcast, Michael Mogill opens the dialogue on the relentless journey of leading a law firm and the mindset shifts necessary for success. Get ready to challenge your current practices and discover why sometimes, it takes stepping back and reassessing your approach to break through to the next level. Here's what you'll learn: Strategies for problem-solving that can turn challenges into opportunities for innovation and resilience The importance of taking action despite fear, making bold moves to avoid stagnation and ensure progress in your firm How to leverage resources like automation, delegation, and technology to maximize growth  By adopting a mindset focused on continuous problem-solving and bold action, law firms can not only overcome their current limitations but also set the stage for dynamic growth. Embrace these principles to foster innovation, enhance productivity, and establish your firm as a powerhouse of efficiency and forward-thinking leadership. ---- Show Notes:  00:00 – Introduction 04:23 – Why Growth Means Constant Problem-Solving 06:40 – Prioritizing Problems to Unlock Growth 09:19 – The Real Reason You're Afraid to Make Bold Moves 12:24 – Taking Action Before You Feel Ready 13:25 – Why Hard Work Alone Won't Scale Your Firm 16:34 – Leveraging People and Technology to Break Through 18:40 – Shifting from Time Economy to Results Economy 21:05 – Final Thoughts and Takeaways ---- Links & Resources: ChatGPT Claude Gemini ---- Listening to this episode but want to watch it? Check it out on Spotify.  Do you love this podcast and want to see more game changing content? Subscribe to our YouTube channel. ---- Past guests on The Game Changing Attorney Podcast include David Goggins, John Morgan, Alex Hormozi, Randi McGinn, Kim Scott, Chris Voss, Kevin O'Leary, Laura Wasser, John Maxwell, Mark Lanier, Robert Greene, and many more. ---- If you enjoyed this episode, you may also like: 323. James Lawrence — The Power of One More: A Journey of Grit and Determination 259. David Craig — How to Build a Law Firm That Stands the Test of Time 246. AMMA — From Burnout to Breakthrough: The Key Differences Between Winners and Losers

On episode 100 of the Home to Her podcast, I'm joined by Ixchel Munay, who has spent more than 20 years walking the path of plant medicine, conscious living and supporting thousands of people around the world in her immersions and sessions to come home to themselves. Through her work, Ixchel draws upon her initiations with yoga, meditation, tantra, shamanism, magic, somatic therapy, dance, breath work, NLP, non-violent communication, permaculture, natural medicine, neuroscience and more. She's spent nearly the past 20 years of her life based in Bali, the mystical land of her father's ancestors. For the past four years she's been spending half the year in Costa Rica devoted to creating Yacumama ("Mother of Water") - a regenerative community land project that hosts transformational experiences.On this episode we discuss: Ixchel's introduction to the Sacred Feminine via her experience meeting Amma, the hugging saint, and her work with a tantric master in BaliHer experience with plant medicines and the value they offer us currently, as well as why it's so important to approach them medicine with respect and via a credible teacherWhy she believes the feminine is the flow state that athletes describe, and how when we step into it, our divine path unfolds much more easilyThe ways women have been disconnected from our bodies, particularly through birth control and medicated childbirth Her work with Yacumama, and her vision for it in terms of land regeneration and as a cultural center to preserve and teach indigenous ways of beingNotes related to this episode: You can learn all about the upcoming programs at Yacumama here, including an upcoming wellness retreat for women, here: https://www.yacumama.love/ and on Instagram @yacumamaecovillageYou can connect with Ixchel via social media via her website, www.livingwisdom.one, and Instagram @ixchel.munay Ixchel and I talked about our experiences with Amma, the hugging saint. You can learn more about her here: https://amma.org/We also discussed the concept of a guru as a path to the Divine Feminine, a topic I explored with past podcast guest Arundhati Subramaniam: https://youtu.be/9reaJg3iTtwAnd here are a few more details about this show and my work:If you'd like to know whose ancestral tribal lands you currently reside on, you can look up your address here: https://native-land.ca/You can also visit the Coalition of Natives and Allies for more helpful educational resources about Indigenous rights and history.Please – if you love this podcast and/or have read my book, please consider leaving me a review, and thank you for supporting my work!You can also access the video version of this episode on YouTubeFor more Sacred Feminine goodness and to stay up to date on all episodes, please follow me on Instagram: @hometoher. To dive into conversation about the Sacred Feminine, join the Facebook group, also @hometoher. And to read about the Sacred Feminine, check out my award-winning book Home to Her: Walking the Transformative Path of the Sacred Feminine (Womancraft Publishing), available on Audible and wherever you buy your books!. If you've read it, your reviews on Goodreads and Amazon are greatly appreciated!Visit www.hometoher.com to learn more about your host, download a free meditation and sign up for my

Send us a textParenting is a hard enough, but doing it in a culture that is different from the one we grew up in creates an extra layer of challenges to navigate. When it's our kids who have the greatest connection to that new culture it can be their demands that make us grow the most in our role.It might seem strange, because I'm a white woman who always spoke English and had English parents, but arriving in the UK from the African continent aged 10 was a total shock to my system. There were very specific cultural cues that I had to deliberately learn, but obviously the differences were eased by the fact that my parents came from this culture. So when I met the podcaster, Amma, I was fascinated by how she and her family have had to navigate living in a country where the language and societal beliefs are so different both inside and outside the family unit, and how Amma was the person who ended up having to coax and cajole her parents to grow into their adopted country.  We parents can learn so much from her story about what is at the heart of good parenting, and having a relationship that will last into adulthood.AMMA BROWN GIRL:https://shows.acast.com/amma-brown-girl-1https://www.instagram.com/ammabrowngirl/Support the showThank you so much for your support. Please hit the follow button if you like the podcast, and share it with anyone who might benefit. You can review us on Apple podcasts by going to the show page, scrolling down to the bottom where you can click on a star then you can leave your message. I don't have medical training so please seek the advice of a specialist if you're not coping. My email is teenagersuntangled@gmail.com My website has a blog, searchable episodes, and ways to contact us:www.teenagersuntangled.comInstagram: https://www.instagram.com/teenagersuntangled/Facebook: https://m.facebook.com/teenagersuntangled/Susie is available for a free 15 minute consultation, and has a great blog:www.amindful-life.co.uk

Davranışları Dəyişdirmək Niyə Çətindir? Necə Asanlaşdıra Bilərik?Yeni davranışlar formalaşdırmaq və köhnə, istəmədiyimiz vərdişlərdən qurtulmaq çox vaxt çətin olur. Bunun əsas səbəbləri bunlardır: beynin müqaviməti,Kimliklə bağlılıq, Avtomatik reflekslər.Davranış dəyişdirmək çətindir, çünki beynimiz status-kvonu qorumağa meyllidir. Amma kiçik addımlarla başlamaq, mühitimizi dəyişdirmək və kimliyimizi yeni vərdişlərimizə uyğun formalaşdırmaq prosesi asanlaşdırır. Əsas məsələ davamlılıqdır.

Navigating your law firm's growth journey becomes feasible when equipped with insights drawn from real-world experiences. In this episode of The Game Changing Attorney Podcast, Michael Mogill delves into the realities of scaling a law firm across various stages of growth. He unpacks the challenges and triumphs encountered on the path from six to nine figures, offering a roadmap for legal entrepreneurs determined to propel their firms to new heights. Here's what you'll learn: Why delegating tasks that aren't within your expertise can create the capacity needed to break through the early growth stages The importance of implementing repeatable systems and processes that ensure quality in service delivery Why evolving your leadership skills and nurturing a strong company culture are essential components for expansion With these insights, law firm owners can elevate their practices beyond just case management, building a legacy marked by innovation, empowerment, and continued advancement in the legal field. This isn't just about managing your practice – it's about redefining your potential and igniting your firm's growth trajectory.  ---- Show Notes:  00:00 – Introduction 02:16 – The Reality of Law Firm Growth: Why It's Harder Than You Think 05:51 – The Truth About Scaling: No Silver Bullet, Only Systems 09:21 – Breaking Through Six Figures: Grit, Capacity, and Delegation 14:55 – The Seven-Figure Struggle: Leadership, Hiring, and Culture 19:34 – The Pain of Scaling: Outgrowing Systems and Processes 24:38 – The Path to Eight Figures and Beyond: Leadership Overhaul 27:06 – The Road to Nine Figures: Rebuilding, Risk, and Relentless Growth 30:17 – Final Thoughts and Takeaways ---- Links & Resources: Atlanta Game Changers Summit S&P 500 ---- Listening to this episode but want to watch it? Check it out on Spotify.  Do you love this podcast and want to see more game changing content? Subscribe to our YouTube channel. ---- Past guests on The Game Changing Attorney Podcast include David Goggins, John Morgan, Alex Hormozi, Randi McGinn, Kim Scott, Chris Voss, Kevin O'Leary, Laura Wasser, John Maxwell, Mark Lanier, Robert Greene, and many more. ---- If you enjoyed this episode, you may also like: Episode 261 — AMMA — The X Factor of Legal Market Domination Episode 320 — John Morgan — Dream Big, Act Bold: Turning Visions into Reality Episode 333 — AMMA — Win More High-Value Cases: How to Build a Brand Clients Trust

Finscale is also available on YouTube: https://www.youtube.com/@finscale.In this episode, Solenne Niedercorn speaks with Amer Baroudi, co-founder and CEO of Nsave. They discuss the challenges Amer faced awhen he left Syria, the importance of banking access for the unbanked, and how Nsave aims to transform the financial industry through a compliance-by-design approach. Amma also shares insights into Nsave's company culture, fundraising efforts, and expansion plans.Chapters00:00 Introduction to Nsave and Amer Baroudi02:01 Amma Baroudi's journey and the challenges he faced04:25 The importance of banking access for refugees07:14 The complexity of banking regulations and their impact10:26 Compliance by design: a new approach12:41 Developing internal systems at Nsave14:45 Collaboration with financial partners16:11 Managing false positives in verification processes19:41 Internal tools for identity verification21:20 Nsave's client profile and customer satisfaction22:55 Fundraising and investor support24:41 Company culture and passion for the mission30:07 Expansion plans and new products

In this segment we interview, yet again, Dr. Nibodhi.Dr. Nibodhi has been in partnership with his wife for over 20 years. Their relationship is quite unique in that they lived on an ashram together and were marred by their Divine teacher, Amma.We spend time discussing love, relationship, and intimacy while integrating spiritual life.Happy Valentine's Day! We hope this serves you well!Relationship playlist:https://open.spotify.com/playlist/2uuRR3q0iI1ABuiHOIi3e3?si=99b31e50f9ae4540Characteristics of Your Spouse:https://youtu.be/i_cOvdSbjy0?si=M-_0kaCExbG4zxanSoulmate Connections:https://youtu.be/ExnDysvjzUw?si=Tf_qKVcMflfRDhFe-----------------------------------------------------------------Contact Dr. Nibodhi:https://www.instagram.com/dr.nibodhi/ORDr. Nibodhi on FacebookHe is the author of six books on health and consciousness.He offers Vedic/Ayurveda Consultations in person and online. Sessions with Nibodhi give clients a deeper understanding of their total state of health and provide tools for creating greater well-being in their lives. Ayurvedic consultations with Nibodhi are a physical, emotional, and spiritual journey towards optimum, radiant health and consciousness. Nibodhi listens with deep awareness to your health and life concerns. He determines and explains your unique constitution, and offers you a completely individualised approach and protocol that supports your health and life goals.Dr. Nibodhi Books:https://www.amazon.com/Books-Dr-Nibodhi-Haas/s?rh=n%3A283155%2Cp_27%3ADr.%2BNibodhi%2BHaasChristine:website: innerknowing.yogainstagram: astrologynow_podcastpatreon: patreon.com/astrologynowpodcast 

How can law firm owners go beyond mere survival and position their practice for long-term success in a rapidly changing legal landscape? In this episode of The Game Changing Attorney Podcast, Michael Mogill explores the key strategies for building a future-focused law firm. He highlights the power of cultivating a culture of curiosity and continuous growth within your team and shares valuable insights on crafting a succession plan that ensures lasting impact and aligns with your firm's ultimate vision. Here's what you'll learn: Why being an innately curious, lifelong learner is essential for keeping your law firm competitive and adapting to new technologies and methods The key elements that maximize a law firm's value, ensuring operational independence and minimizing reliance on the firm owner, to achieve a profitable sale How to cultivate a thriving culture that aligns with your firm's ambitious growth goals, attracting top talent who are driven to succeed within your organization's values Thriving in the legal field isn't just about winning cases — it's about anticipating challenges before they arise and preparing your firm and clients with the right strategies to navigate them. By embracing a proactive mindset, law firms can transform potential setbacks into opportunities, strengthen client relationships, and establish a reputation built on resilience, foresight, and unwavering excellence. ---- Show Notes:  00:00 – Introduction 02:16 – Why Most People Don't Care About Your Vision 05:14 – The Power of Lifelong Learning and Curiosity 07:54 – AI, Adaptability, and the Future of Law Firms 12:19 – How to Build a Firm That Runs Without You 14:50 – Balancing Growth and Culture in a Competitive Market 18:52 – The Difference Between Headlines and Real Success 21:01 – Succession Planning: Who Should Take Over Your Firm? 26:52 – Final Thoughts and Takeaways ---- Links & Resources: Chat GPT YouTube Python Atlanta SaaS Tech Crunch ---- Listening to this episode but want to watch it? Check it out on Spotify.  Do you love this podcast and want to see more game changing content? Subscribe to our YouTube channel. ---- Past guests on The Game Changing Attorney Podcast include David Goggins, John Morgan, Alex Hormozi, Randi McGinn, Kim Scott, Chris Voss, Kevin O'Leary, Laura Wasser, John Maxwell, Mark Lanier, Robert Greene, and many more. ---- If you enjoyed this episode, you may also like: Episode 291 — Tim Grover — The Dark Side of Achievement Episode 229 — David Goggins — Never Finished: Unshackle Your Mind and Win the War Within Episode 258 — AMMA — The Power of No: Setting Boundaries for Focused Growth

How can a law firm transcend its current boundaries and manage the intricacies of organizational growth? In this episode of The Game Changing Attorney Podcast, Michael Mogill breaks down the essential strategies for scaling a law firm, maintaining focus amid chaos, and developing the leadership skills necessary to drive sustained growth and innovation. Success isn't about avoiding challenges — it's about having the mindset and systems to adapt, execute, and thrive. Here's what you'll take away: How assessing your progress early in the year can help you adapt and stay on track with your goals Why investing in team incentives and aligning them with personal and firm goals can enhance performance  The importance of identifying whether your firm's growing pains are due to capacity or capability Growth in your firm isn't just about solving a set of problems; it's about cultivating a leadership mindset that constantly evaluates and evolves to new demands. By focusing on these core elements, you transform obstacles into opportunities for development, creating a robust foundation for enduring success and innovation in legal practice. ---- Show Notes:  00:00 – Introduction 02:13 – Are You Sticking to Your 2025 Goals? 05:45 – Building a Brand That Earns Trust 09:49 – Why Honoring Your Commitments is Key 13:26 – How to Leverage a Strong Reputation for Growth 17:52 – The Power of Promotion: Making Your Brand Known 21:19 – Hiring the Right People to Support Your Brand 18:45 – The One Hiring Rule That Saves You from Bad Decisions 19:27 – Final Thoughts and Takeaways ---- Links & Resources: Atlanta Charlie Munger Hartsfield Jackson Airport TSA DMV  ---- Listening to this episode but want to watch it? Check it out on Spotify.  Do you love this podcast and want to see more game changing content? Subscribe to our YouTube channel. ---- Past guests on The Game Changing Attorney Podcast include David Goggins, John Morgan, Alex Hormozi, Randi McGinn, Kim Scott, Chris Voss, Kevin O'Leary, Laura Wasser, John Maxwell, Mark Lanier, Robert Greene, and many more. ---- If you enjoyed this episode, you may also like: Episode 287 — Dan Martell — Buy Back Your Time: Mastering the Art of Delegation Episode 265 — Jessica Mogill — Streamlined Operations: Relentless Execution Episode 230 — AMMA — How To Achieve Bigger Goals

Tillmatningsset är ett hjälpmedel som är speciellt utformat för att hjälpa mammor och föräldrar att amma, detta genom att tillföra bröstmjölk eller ersättning till barnet medan det matas vid bröstet. Vi har bjudit in Elisabeth Hjärtmyr, barnmorska och amningsexpert med lång erfarenhet för att få information om hur ett tillmatningsset kan se ut, samt om de tillfällen då användning kan vara lämpligt. Genom att öka möjligheten att amma vid bröstet kan tillmatningssetet främja relationen mellan mamma/förälder och barn och hud-mot-hud-kontakt. Likaså ökar chansen till förbättrad mjölkproduktion genom att bröstet stimuleras via ett kontinuerligt sugmönster. Följ med in i avsnittet för att lyssna på kloka och pedagogiska Elisabeth! Hosted on Acast. See acast.com/privacy for more information.

What are the secrets to successfully standing out in a competitive legal market and attracting high-value cases? In this episode of The Game Changing Attorney Podcast, Michael Mogill tackles the challenges law firms face in establishing a strong presence in the legal market. He breaks down the strategies that not only get you noticed but also create real, lasting connections with clients — so you're not just another option, you're the only option. Here's what you'll take away: How specializing in a specific niche can help law firms stand out by establishing authority and building a unique value proposition Why small firms with limited budgets need to leverage creativity to effectively compete against larger firms with extensive resources The importance of marketing and advertising in ensuring the most skilled lawyers are visible to their ideal clients The ultimate advantage comes from mastering your expertise and making sure the right people know about it. The best law firms don't just do great work — they make sure their market sees, hears, and believes it. When you position yourself as an authority in your practice area and strategically amplify that message, you stop chasing cases and start attracting the right clients who see you as the right choice. ---- Show Notes:  00:00 – Introduction 03:11 – Why the Best Cases Go to the Best Marketers 05:31 – How to Attract High-Value Cases Consistently 08:16 – Standing Out Without a Massive Marketing Budget 10:43 – The Power of Social Media and Digital Marketing 12:33 – Competing Against Big Firms Without Overspending 15:21 – Why Being the Best Lawyer Isn't Enough 17:19 – Leveraging Authority to Build a Brand 18:42 – Final Thoughts and Takeaways ---- Links & Resources: David Craig Nick Rowley Adam Malone Joe Fried Atlanta American Bar Association ---- Listening to this episode but want to watch it? Check it out on Spotify.  Do you love this podcast and want to see more game changing content? Subscribe to our YouTube channel. ---- Past guests on The Game Changing Attorney Podcast include David Goggins, John Morgan, Alex Hormozi, Randi McGinn, Kim Scott, Chris Voss, Kevin O'Leary, Laura Wasser, John Maxwell, Mark Lanier, Robert Greene, and many more. ---- If you enjoyed this episode, you may also like: Episode 320 — John Morgan — Dream Big, Act Bold: Turning Visions into Reality Episode 280 — Rory Vaden — Reputation Precedes Revenue: Mastering the Art of Personal Branding Episode 302 — AMMA — Leading with Integrity: How to Compete Ethically

Consistency and strategic reflection — these are the twin engines that propel your law firm's trajectory toward success. In this episode of The Game Changing Attorney Podcast, Michael Mogill dives into two game changers for overcoming stagnation and driving sustainable progress: an unwavering commitment to growth and a willingness to assess and adapt.  Here's what you'll take away: The transformative power of steady, committed efforts in building sustainable growth in both personal habits and business practices The importance of addressing root causes rather than symptoms in problem-solving — establishing a firm foundation for continual improvement and success The vital role of making time for introspection, enabling strategic decision-making and preventing repeated mistakes We don't settle for surface-level fixes here. We're talking about real solutions — solutions that redefine leadership, elevate operations, and push the boundaries of what's possible. The firms that integrate these practices don't just survive; they thrive.  Let's make your vision of success not just a possibility but an inevitability. ---- Show Notes:  00:00 – Introduction 01:52 – The Power of Consistency in Business and Life 03:11 – Breaking the Cycle: Addressing Root Issues Instead of Symptoms 06:33 – The Difference Between Fixing and Solving Problems 09:22 – Learning from Mistakes and Creating Systems for Success 12:53 – The Importance of Reflection: Why It's Crucial for Growth 17:15 – Growth Through Discomfort: Becoming the Person You're Meant to Be 21:38 – Defining Success on Your Own Terms 23:56 – Final Thoughts and Takeaways ---- Links & Resources: Atlanta Falcons Game Changers Summit Jeff Bezos Elon Musk ---- Listening to this episode but want to watch it? Check it out on Spotify.  Do you love this podcast and want to see more game changing content? Subscribe to our YouTube channel. ---- Past guests on The Game Changing Attorney Podcast include David Goggins, John Morgan, Alex Hormozi, Randi McGinn, Kim Scott, Chris Voss, Kevin O'Leary, Laura Wasser, John Maxwell, Mark Lanier, Robert Greene, and many more. ---- If you enjoyed this episode, you may also like: Episode 319 — Hal Elrod — Unlocking Success Through Daily Habits Episode 270 — Sean Claggett — Fewer Cases, More Success: How Focused Work Leads to Bigger Wins Episode 258 — AMMA — The Power of No: Setting Boundaries for Focused Growth | Crisp

How can you shift from sitting back and letting things unfold to taking charge and guaranteeing success in your practice? In this episode of The Game Changing Attorney Podcast, Michael Mogill unpacks how law firm owners can stop relying on fleeting motivation and instead cultivate an unwavering commitment to their vision. Success doesn't come by accident — it's built through intentional long-term planning and execution. Here's what you'll take away: How adopting a “Make It Happen” mindset can motivate you by fostering accountability and proactive goal-setting The significance of commitment over motivation, emphasizing the need for consistent effort, clear goal-setting, and strategic planning Why planning ahead enables you to set achievable goals over an extended timescale, allowing for realistic growth and sustainable success By defining clear goals and prioritizing consistent progress, you can escape the chaos of daily demands and focus on sustainable growth strategies. Leaders who foster this mindset empower their teams to execute at a higher level, align their daily actions with their vision, and ultimately transform their firms into market leaders. ---- Show Notes:  00:00 – Introduction 02:16 – Making Things Happen vs. Letting Things Happen 05:34 – Why Lowering Your Goals Leads to Mediocrity 07:15 – How to Make Success Inevitable 09:43 – The Role of Accountability and Clear Metrics 13:47 – Pivoting vs. Staying the Course: How to Decide 18:32 – Balancing Ambition with Realistic Timelines 21:36 – The Power of Long-Term Thinking 22:11 – Final Thoughts and Takeaways ---- Links & Resources: Falcons Patriots Bill Perkins James Clear Atomic Habits by James Clear Jay Papasan The One Thing by Gary Keller and James Papasan Willpower Doesn't Work by Benjamin Hardy Ironman ---- Listening to this episode but want to watch it? Check it out on Spotify.  Do you love this podcast and want to see more game changing content? Subscribe to our YouTube channel. ---- Past guests on The Game Changing Attorney Podcast include David Goggins, John Morgan, Alex Hormozi, Randi McGinn, Kim Scott, Chris Voss, Kevin O'Leary, Laura Wasser, John Maxwell, Mark Lanier, Robert Greene, and many more. ---- If you enjoyed this episode, you may also like: Episode 320 — John Morgan — Dream Big, Act Bold: Turning Visions into Reality Episode 278 — Adam Alter — From Stuck to Unstoppable: Gaining and Maintaining Momentum Episode 217 — AMMA — The Key to Clarity in Business | Crisp

What are the secrets to turning your law firm into a client magnet and industry leader? In this episode of The Game Changing Attorney Podcast, Michael Mogill dives into transformational strategies for growing your law firm. Discover how setting clear goals and consistently following through can help you build a brand that earns trust and keeps clients coming back. Here's what you'll take away: How maintaining consistency can significantly enhance your success, whether in personal health routines or business management Why a strong brand is built on reliability and a unique value proposition, creating lasting trust and recognition in the legal industry Strategies for effectively showcasing your firm's successes and community involvement to amplify your reputation and attract new clients The key to limitless opportunities lies in leveraging your reputation. A solid reputation alone isn't enough — it's how you amplify and strategically promote it that sets industry leaders apart. Transforming your firm's credibility into a magnet for high-value cases is the defining trait of game changers in the legal profession. ---- Show Notes:  00:00 – Introduction 03:11 – Staying Accountable to Your Goals in the New Year 05:45 – Building a Brand That Clients Can Trust 09:16 – Leveraging a Strong Reputation for Faster Growth 13:23 – Hiring the Right People: Revealing True Character in Interviews 17:51 – Handling Stress and Situational Challenges in Hiring 19:02 – The “Hell Yes or Hell No” Hiring Philosophy 20:10 – Final Thoughts and Takeaways ---- Links & Resources: REM sleep The Game Changing Attorney by Michael Mogill ChatGPT ---- Listening to this episode but want to watch it? Check it out on Spotify.  Do you love this podcast and want to see more game changing content? Subscribe to our YouTube channel. ---- Past guests on The Game Changing Attorney Podcast include David Goggins, John Morgan, Alex Hormozi, Randi McGinn, Kim Scott, Chris Voss, Kevin O'Leary, Laura Wasser, John Maxwell, Mark Lanier, Robert Greene, and many more. ---- If you enjoyed this episode, you may also like: Episode 280 — Rory Vaden — Reputation Precedes Revenue: Mastering the Art of Personal Branding Episode 218 — Dr. Katy Milkman — How to Change: The Science of Getting From Where You Are to Where You Want to Be | Crisp Episode 196 — AMMA — The 9 Sources of Entrepreneurial Advantage | Crisp

Are you tired of the relentless cycle of sacrifices without seeing the light at the end of the tunnel? In this episode of The Game Changing Attorney Podcast, Michael Mogill cuts through the noise to reveal the secrets of transforming lofty resolutions into unstoppable progress. Unlock the power of delegation to reclaim your time and focus, propelling your firm toward success. Here's what you'll learn:  Why waiting for the "perfect moment" is the enemy of progress — and how taking immediate action drives real results How mastering delegation can reduce burnout and help you balance personal well-being with professional growth The critical role a clear vision plays in identifying the right opportunities and avoiding distractions as your firm grows As opportunities flood your way, learn how to wield clarity like a sword, cutting through distractions, and enhancing your firm's growth. This is your playbook for achieving focus and purpose in a competitive landscape, designed to elevate your practice to the next level. ---- Show Notes:  00:00 – Introduction 02:10 – The Reality of Starting and Scaling a Law Firm 06:05 – Learning to Delegate and Avoid Burnout 09:28 – Dealing with the Pressure of Always Having to Win 12:22 – Knowing When to Say No and Staying Focused 13:58 – Evaluating Opportunities: Frameworks for Decision-Making 15:46 – Building Wealth Through Focus and Concentration 16:14 – Balancing Commitments Between Work and Family 16:23 – Final Thoughts and Takeaways ---- Links & Resources: Apple Tim Cook ---- Listening to this episode but want to watch it? Check it out on Spotify.  Do you love this podcast and want to see more game changing content? Subscribe to our YouTube channel. ---- Past guests on The Game Changing Attorney Podcast include David Goggins, John Morgan, Alex Hormozi, Randi McGinn, Kim Scott, Chris Voss, Kevin O'Leary, Laura Wasser, John Maxwell, Mark Lanier, Robert Greene, and many more. ---- If you enjoyed this episode, you may also like: Episode 249 — Codie Sanchez — Maximizing Income: Strategies for Achieving Financial Freedom | Crisp Episode 287 — Dan Martell — Buy Back Your Time: Mastering the Art of Delegation Episode 210 — AMMA — Failure Isn't Final: Lessons Learned From Setbacks and Struggles | Crisp

Enjoy this unlocked bonus episode from our Patreon! The Mysterious Man answers your questions from Patreon!You can support the show directly and receive bonus episodes and rewards by joining our Patreon at https://www.patreon.com/magictavern for only $5 per month. Follow us on X, Instagram and YouTube!Credits:Mysterious Man: Tim SniffenCraig: Ryan DiGiorgiProducer: Matt YoungAssociate Producer: Anna HavermannPost-Production Coordination: Garrett SchultzEditor: Benji KaySpecial Assistance: Ryan DiGiorgiMagic Tavern Logo: Allard LabanTheme Music: Andy PolandSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Happy holidays! We'll be sharing snippets from Latent Space LIVE! through the break bringing you the best of 2024! We want to express our deepest appreciation to event sponsors AWS, Daylight Computer, Thoth.ai, StrongCompute, Notable Capital, and most of all all our LS supporters who helped fund the gorgeous venue and A/V production!For NeurIPS last year we did our standard conference podcast coverage interviewing selected papers (that we have now also done for ICLR and ICML), however we felt that we could be doing more to help AI Engineers 1) get more industry-relevant content, and 2) recap 2024 year in review from experts. As a result, we organized the first Latent Space LIVE!, our first in person miniconference, at NeurIPS 2024 in Vancouver.The single most requested domain was computer vision, and we could think of no one better to help us recap 2024 than our friends at Roboflow, who was one of our earliest guests in 2023 and had one of this year's top episodes in 2024 again. Roboflow has since raised a $40m Series B!LinksTheir slides are here:All the trends and papers they picked:* Isaac Robinson* Sora (see our Video Diffusion pod) - extending diffusion from images to video* SAM 2: Segment Anything in Images and Videos (see our SAM2 pod) - extending prompted masks to full video object segmentation* DETR Dominancy: DETRs show Pareto improvement over YOLOs* RT-DETR: DETRs Beat YOLOs on Real-time Object Detection* LW-DETR: A Transformer Replacement to YOLO for Real-Time Detection* D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement* Peter Robicheaux* MMVP (Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs)* * Florence 2 (Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks) * PalíGemma / PaliGemma 2* PaliGemma: A versatile 3B VLM for transfer* PaliGemma 2: A Family of Versatile VLMs for Transfer* AlMv2 (Multimodal Autoregressive Pre-training of Large Vision Encoders) * Vik Korrapati - MoondreamFull Talk on YouTubeWant more content like this? Like and subscribe to stay updated on our latest talks, interviews, and podcasts.Transcript/Timestamps[00:00:00] Intro[00:00:05] AI Charlie: welcome to Latent Space Live, our first mini conference held at NeurIPS 2024 in Vancouver. This is Charlie, your AI co host. When we were thinking of ways to add value to our academic conference coverage, we realized that there was a lack of good talks, just recapping the best of 2024, going domain by domain.[00:00:36] AI Charlie: We sent out a survey to the over 900 of you. who told us what you wanted, and then invited the best speakers in the Latent Space Network to cover each field. 200 of you joined us in person throughout the day, with over 2, 200 watching live online. Our second featured keynote is The Best of Vision 2024, with Peter Robichaud and Isaac [00:01:00] Robinson of Roboflow, with a special appearance from Vic Corrapati of Moondream.[00:01:05] AI Charlie: When we did a poll of our attendees, the highest interest domain of the year was vision. And so our first port of call was our friends at Roboflow. Joseph Nelson helped us kickstart our vision coverage in episode 7 last year, and this year came back as a guest host with Nikki Ravey of Meta to cover segment Anything 2.[00:01:25] AI Charlie: Roboflow have consistently been the leaders in open source vision models and tooling. With their SuperVision library recently eclipsing PyTorch's Vision library. And Roboflow Universe hosting hundreds of thousands of open source vision datasets and models. They have since announced a 40 million Series B led by Google Ventures.[00:01:46] AI Charlie: Woohoo.[00:01:48] Isaac's picks[00:01:48] Isaac Robinson: Hi, we're Isaac and Peter from Roboflow, and we're going to talk about the best papers of 2024 in computer vision. So, for us, we defined best as what made [00:02:00] the biggest shifts in the space. And to determine that, we looked at what are some major trends that happened and what papers most contributed to those trends.[00:02:09] Isaac Robinson: So I'm going to talk about a couple trends, Peter's going to talk about a trend, And then we're going to hand it off to Moondream. So, the trends that I'm interested in talking about are These are a major transition from models that run on per image basis to models that run using the same basic ideas on video.[00:02:28] Isaac Robinson: And then also how debtors are starting to take over the real time object detection scene from the YOLOs, which have been dominant for years.[00:02:37] Sora, OpenSora and Video Vision vs Generation[00:02:37] Isaac Robinson: So as a highlight we're going to talk about Sora, which from my perspective is the biggest paper of 2024, even though it came out in February. Is the what?[00:02:48] Isaac Robinson: Yeah. Yeah. So just it's a, SORA is just a a post. So I'm going to fill it in with details from replication efforts, including open SORA and related work, such as a stable [00:03:00] diffusion video. And then we're also going to talk about SAM2, which applies the SAM strategy to video. And then how debtors, These are the improvements in 2024 to debtors that are making them a Pareto improvement to YOLO based models.[00:03:15] Isaac Robinson: So to start this off, we're going to talk about the state of the art of video generation at the end of 2023, MagVIT MagVIT is a discrete token, video tokenizer akin to VQ, GAN, but applied to video sequences. And it actually outperforms state of the art handcrafted video compression frameworks.[00:03:38] Isaac Robinson: In terms of the bit rate versus human preference for quality and videos generated by autoregressing on these discrete tokens generate some pretty nice stuff, but up to like five seconds length and, you know, not super detailed. And then suddenly a few months later we have this, which when I saw it, it was totally mind blowing to me.[00:03:59] Isaac Robinson: 1080p, [00:04:00] a whole minute long. We've got light reflecting in puddles. That's reflective. Reminds me of those RTX demonstrations for next generation video games, such as Cyberpunk, but with better graphics. You can see some issues in the background if you look closely, but they're kind of, as with a lot of these models, the issues tend to be things that people aren't going to pay attention to unless they're looking for.[00:04:24] Isaac Robinson: In the same way that like six fingers on a hand. You're not going to notice is a giveaway unless you're looking for it. So yeah, as we said, SORA does not have a paper. So we're going to be filling it in with context from the rest of the computer vision scene attempting to replicate these efforts. So the first step, you have an LLM caption, a huge amount of videos.[00:04:48] Isaac Robinson: This, this is a trick that they introduced in Dolly 3, where they train a image captioning model to just generate very high quality captions for a huge corpus and then train a diffusion model [00:05:00] on that. Their Sora and their application efforts also show a bunch of other steps that are necessary for good video generation.[00:05:09] Isaac Robinson: Including filtering by aesthetic score and filtering by making sure the videos have enough motion. So they're not just like kind of the generators not learning to just generate static frames. So. Then we encode our video into a series of space time latents. Once again, SORA, very sparse in details.[00:05:29] Isaac Robinson: So the replication related works, OpenSORA actually uses a MAG VIT V2 itself to do this, but swapping out the discretization step with a classic VAE autoencoder framework. They show that there's a lot of benefit from getting the temporal compression, which makes a lot of sense as the Each sequential frames and videos have mostly redundant information.[00:05:53] Isaac Robinson: So by compressing against, compressing in the temporal space, you allow the latent to hold [00:06:00] a lot more semantic information while avoiding that duplicate. So, we've got our spacetime latents. Possibly via, there's some 3D VAE, presumably a MAG VATV2 and then you throw it into a diffusion transformer.[00:06:19] Isaac Robinson: So I think it's personally interesting to note that OpenSORA is using a MAG VATV2, which originally used an autoregressive transformer decoder to model the latent space, but is now using a diffusion diffusion transformer. So it's still a transformer happening. Just the question is like, is it?[00:06:37] Isaac Robinson: Parameterizing the stochastic differential equation is, or parameterizing a conditional distribution via autoregression. It's also it's also worth noting that most diffusion models today, the, the very high performance ones are switching away from the classic, like DDPM denoising diffusion probability modeling framework to rectified flows.[00:06:57] Isaac Robinson: Rectified flows have a very interesting property that as [00:07:00] they converge, they actually get closer to being able to be sampled with a single step. Which means that in practice, you can actually generate high quality samples much faster. Major problem of DDPM and related models for the past four years is just that they require many, many steps to generate high quality samples.[00:07:22] Isaac Robinson: So, and naturally, the third step is throwing lots of compute at the problem. So I didn't, I never figured out how to manage to get this video to loop, but we see very little compute, medium compute, lots of compute. This is so interesting because the the original diffusion transformer paper from Facebook actually showed that, in fact, the specific hyperparameters of the transformer didn't really matter that much.[00:07:48] Isaac Robinson: What mattered was that you were just increasing the amount of compute that the model had. So, I love how in the, once again, little blog posts, they don't even talk about [00:08:00] like the specific hyperparameters. They say, we're using a diffusion transformer, and we're just throwing more compute at it, and this is what happens.[00:08:08] Isaac Robinson: OpenSora shows similar results. The primary issue I think here is that no one else has 32x compute budget. So we end up with these we end up in the middle of the domain and most of the related work, which is still super, super cool. It's just a little disappointing considering the context. So I think this is a beautiful extension of the framework that was introduced in 22 and 23 for these very high quality per image generation and then extending that to videos.[00:08:39] Isaac Robinson: It's awesome. And it's GA as of Monday, except no one can seem to get access to it because they keep shutting down the login.[00:08:46] SAM and SAM2[00:08:46] Isaac Robinson: The next, so next paper I wanted to talk about is SAM. So we at Roboflow allow users to label data and train models on that data. Sam, for us, has saved our users 75 years of [00:09:00] labeling time.[00:09:00] Isaac Robinson: We are the, to the best of my knowledge, the largest SAM API that exists. We also, SAM also allows us to have our users train just pure bounding box regression models and use those to generate high quality masks which has the great side effect of requiring less training data to have a meaningful convergence.[00:09:20] Isaac Robinson: So most people are data limited in the real world. So anything that requires less data to get to a useful thing is that super useful. Most of our users actually run their object per frame object detectors on every frame in a video, or maybe not most, but many, many. And so Sam follows into this category of taking, Sam 2 falls into this category of taking something that really really works and applying it to a video which has the wonderful benefit of being plug and play with most of our Many of our users use cases.[00:09:53] Isaac Robinson: We're, we're still building out a sufficiently mature pipeline to take advantage of that, but it's, it's in the works. [00:10:00] So here we've got a great example. We can click on cells and then follow them. You even notice the cell goes away and comes back and we can still keep track of it which is very challenging for existing object trackers.[00:10:14] Isaac Robinson: High level overview of how SAM2 works. We there's a simple pipeline here where we can give, provide some type of prompt and it fills out the rest of the likely masks for that object throughout the rest of the video. So here we're giving a bounding box in the first frame, a set of positive negative points, or even just a simple mask.[00:10:36] Isaac Robinson: I'm going to assume people are somewhat familiar with SAM. So I'm going to just give a high level overview of how SAM works. You have an image encoder that runs on every frame. SAM two can be used on a single image, in which case the only difference between SAM two and SAM is that image encoder, which Sam used a standard VIT [00:11:00] Sam two replaced that with a hara hierarchical encoder, which gets approximately the same results, but leads to a six times faster inference, which is.[00:11:11] Isaac Robinson: Excellent, especially considering how in a trend of 23 was replacing the VAT with more efficient backbones. In the case where you're doing video segmentation, the difference is that you actually create a memory bank and you cross attend the features from the image encoder based on the memory bank.[00:11:31] Isaac Robinson: So the feature set that is created is essentially well, I'll go more into it in a couple of slides, but we take the features from the past couple frames, plus a set of object pointers and the set of prompts and use that to generate our new masks. Then we then fuse the new masks for this frame with the.[00:11:57] Isaac Robinson: Image features and add that to the memory bank. [00:12:00] It's, well, I'll say more in a minute. The just like SAM, the SAM2 actually uses a data engine to create its data set in that people are, they assembled a huge amount of reference data, used people to label some of it and train the model used the model to label more of it and asked people to refine the predictions of the model.[00:12:20] Isaac Robinson: And then ultimately the data set is just created from the engine Final output of the model on the reference data. It's very interesting. This paradigm is so interesting to me because it unifies a model in a dataset in a way that is very unique. It seems unlikely that another model could come in and have such a tight.[00:12:37] Isaac Robinson: So brief overview of how the memory bank works, the paper did not have a great visual, so I'm just, I'm going to fill in a bit more. So we take the last couple of frames from our video. And we take the last couple of frames from our video attend that, along with the set of prompts that we provided, they could come from the future, [00:13:00] they could come from anywhere in the video, as well as reference object pointers, saying, by the way, here's what we've found so far attending to the last few frames has the interesting benefit of allowing it to model complex object motion without actually[00:13:18] Isaac Robinson: By limiting the amount of frames that you attend to, you manage to keep the model running in real time. This is such an interesting topic for me because one would assume that attending to all of the frames is super essential, or having some type of summarization of all the frames is super essential for high performance.[00:13:35] Isaac Robinson: But we see in their later ablation that that actually is not the case. So here, just to make sure that there is some benchmarking happening, we just compared to some of the stuff that's came out prior, and indeed the SAM2 strategy does improve on the state of the art. This ablation deep in their dependencies was super interesting to me.[00:13:59] Isaac Robinson: [00:14:00] We see in section C, the number of memories. One would assume that increasing the count of memories would meaningfully increase performance. And we see that it has some impact, but not the type that you'd expect. And that it meaningfully decreases speed, which justifies, in my mind, just having this FIFO queue of memories.[00:14:20] Isaac Robinson: Although in the future, I'm super interested to see A more dedicated summarization of all of the last video, not just a stacking of the last frames. So that another extension of beautiful per frame work into the video domain.[00:14:42] Realtime detection: DETRs > YOLO[00:14:42] Isaac Robinson: The next trend I'm interested in talking about is this interesting at RoboFlow, we're super interested in training real time object detectors.[00:14:50] Isaac Robinson: Those are bread and butter. And so we're doing a lot to keep track of what is actually happening in that space. We are finally starting to see something change. So, [00:15:00] for years, YOLOs have been the dominant way of doing real time object detection, and we can see here that they've essentially stagnated.[00:15:08] Isaac Robinson: The performance between 10 and 11 is not meaningfully different, at least, you know, in this type of high level chart. And even from the last couple series, there's not. A major change so YOLOs have hit a plateau, debtors have not. So we can look here and see the YOLO series has this plateau. And then these RT debtor, LW debtor, and Define have meaningfully changed that plateau so that in fact, the best Define models are plus 4.[00:15:43] Isaac Robinson: 6 AP on Cocoa at the same latency. So three major steps to accomplish this. The first RT deditor, which is technically a 2023 paper preprint, but published officially in 24, so I'm going to include that. I hope that's okay. [00:16:00] That is showed that RT deditor showed that we could actually match or out speed YOLOs.[00:16:04] Isaac Robinson: And then LWdebtor showed that pre training is hugely effective on debtors and much less so on YOLOs. And then DeFine added the types of bells and whistles that we expect from these types, this, this arena. So the major improvements that RTdebtor shows was Taking the multi scale features that debtors typically pass into their encoder and decoupling them into a much more efficient transformer encoder.[00:16:30] Isaac Robinson: The transformer is of course, quadratic complexity. So decreasing the amount of stuff that you pass in at once is super helpful for increasing your runtime or increasing your throughput. So that change basically brought us up to yellow speed and then they do a hardcore analysis on. Benchmarking YOLOs, including the NMS step.[00:16:54] Isaac Robinson: Once you once you include the NMS in the latency calculation, you see that in fact, these debtors [00:17:00] are outperforming, at least this time, the the, the YOLOs that existed. Then LW debtor goes in and suggests that in fact, the frame, the huge boost here is from pre training. So, this is the define line, and this is the define line without pre training.[00:17:19] Isaac Robinson: It's within range, it's still an improvement over the YOLOs, but Really huge boost comes from the benefit of pre training. When YOLOx came out in 2021, they showed that they got much better results by having a much, much longer training time, but they found that when they did that, they actually did not benefit from pre training.[00:17:40] Isaac Robinson: So, you see in this graph from LWdebtor, in fact, YOLOs do have a real benefit from pre training, but it goes away as we increase the training time. Then, the debtors converge much faster. LWdebtor trains for only 50 epochs, RTdebtor is 60 epochs. So, one could assume that, in fact, [00:18:00] the entire extra gain from pre training is that you're not destroying your original weights.[00:18:06] Isaac Robinson: By relying on this long training cycle. And then LWdebtor also shows superior performance to our favorite data set, Roboflow 100 which means that they do better on the real world, not just on Cocoa. Then Define throws all the bells and whistles at it. Yellow models tend to have a lot of very specific complicated loss functions.[00:18:26] Isaac Robinson: This Define brings that into the debtor world and shows consistent improvement on a variety of debtor based frameworks. So bring these all together and we see that suddenly we have almost 60 AP on Cocoa while running in like 10 milliseconds. Huge, huge stuff. So we're spending a lot of time trying to build models that work better with less data and debtors are clearly becoming a promising step in that direction.[00:18:56] Isaac Robinson: The, what we're interested in seeing [00:19:00] from the debtors in this, this trend to next is. Codetter and the models that are currently sitting on the top of the leaderboard for large scale inference scale really well as you switch out the backbone. We're very interested in seeing and having people publish a paper, potentially us, on what happens if you take these real time ones and then throw a Swingy at it.[00:19:23] Isaac Robinson: Like, do we have a Pareto curve that extends from the real time domain all the way up to the super, super slow but high performance domain? We also want to see people benchmarking in RF100 more, because that type of data is what's relevant for most users. And we want to see more pre training, because pre training works now.[00:19:43] Isaac Robinson: It's super cool.[00:19:48] Peter's Picks[00:19:48] Peter Robicheaux: Alright, so, yeah, so in that theme one of the big things that we're focusing on is how do we get more out of our pre trained models. And one of the lenses to look at this is through sort of [00:20:00] this, this new requirement for like, how Fine grained visual details and your representations that are extracted from your foundation model.[00:20:08] Peter Robicheaux: So it's sort of a hook for this Oh, yeah, this is just a list of all the the papers that I'm going to mention I just want to make sure I set an actual paper so you can find it later[00:20:18] MMVP (Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs)[00:20:18] Peter Robicheaux: Yeah, so sort of the big hook here is that I make the claim that LLMs can't see if you go to if you go to Claude or ChatGPT you ask it to see this Watch and tell me what time it is, it fails, right?[00:20:34] Peter Robicheaux: And so you could say, like, maybe, maybe the Like, this is, like, a very classic test of an LLM, but you could say, Okay, maybe this, this image is, like, too zoomed out, And it just, like, it'll do better if we increase the resolution, And it has easier time finding these fine grained features, Like, where the watch hands are pointing.[00:20:53] Peter Robicheaux: Nodice. And you can say, okay, well, maybe the model just doesn't know how to tell time from knowing the position of the hands. But if you actually prompt [00:21:00] it textually, it's very easy for it to tell the time. So this to me is proof that these LLMs literally cannot see the position of the watch hands and it can't see those details.[00:21:08] Peter Robicheaux: So the question is sort of why? And for you anthropic heads out there, cloud fails too. So the, the, my first pick for best paper of 2024 Envision is this MMVP paper, which tries to investigate the Why do LLMs not have the ability to see fine grained details? And so, for instance, it comes up with a lot of images like this, where you ask it a question that seems very visually apparent to us, like, which way is the school bus facing?[00:21:32] Peter Robicheaux: And it gets it wrong, and then, of course, it makes up details to support its wrong claim. And so, the process by which it finds these images is sort of contained in its hypothesis for why it can't. See these details. So it hypothesizes that models that have been initialized with, with Clip as their vision encoder, they don't have fine grained details and the, the features extracted using Clip because Clip sort of doesn't need to find these fine grained [00:22:00] details to do its job correctly, which is just to match captions and images, right?[00:22:04] Peter Robicheaux: And sort of at a high level, even if ChatGPT wasn't initialized with Clip and wasn't trained contrastively at all. The vision encoder wasn't trained contrastively at all. Still, in order to do its job of capturing the image it could do a pretty good job without actually finding the exact position of all the objects and visual features in the image, right?[00:22:21] Peter Robicheaux: So This paper finds a set of difficult images for these types of models. And the way it does it is it looks for embeddings that are similar in clip space, but far in DynaV2 space. So DynaV2 is a foundation model that was trained self supervised purely on image data. And it kind of uses like some complex student teacher framework, but essentially, and like, it patches out like certain areas of the image or like crops with certain areas of the image and tries to make sure that those have consistent representations, which is a way for it to learn very fine grained visual features.[00:22:54] Peter Robicheaux: And so if you take things that are very close in clip space and very far in DynaV2 space, you get a set of images [00:23:00] that Basically, pairs of images that are hard for a chat GPT and other big language models to distinguish. So, if you then ask it questions about this image, well, as you can see from this chart, it's going to answer the same way for both images, right?[00:23:14] Peter Robicheaux: Because to, to, from the perspective of the vision encoder, they're the same image. And so if you ask a question like, how many eyes does this animal have? It answers the same for both. And like all these other models, including Lava do the same thing, right? And so this is the benchmark that they create, which is like finding clip, like clip line pairs, which is pairs of images that are similar in clip space and creating a data set of multiple choice questions based off of those.[00:23:39] Peter Robicheaux: And so how do these models do? Well, really bad. Lava, I think, So, so, chat2BT and Jim and I do a little bit better than random guessing, but, like, half of the performance of humans who find these problems to be very easy. Lava is, interestingly, extremely negatively correlated with this dataset. It does much, much, much, much worse [00:24:00] than random guessing, which means that this process has done a very good job of identifying hard images for, for Lava, specifically.[00:24:07] Peter Robicheaux: And that's because Lava is basically not trained for very long and is initialized from Clip, and so You would expect it to do poorly on this dataset. So, one of the proposed solutions that this paper attempts is by basically saying, Okay, well if clip features aren't enough, What if we train the visual encoder of the language model also on dyno features?[00:24:27] Peter Robicheaux: And so it, it proposes two different ways of doing this. One, additively which is basically interpolating between the two features, and then one is interleaving, which is just kind of like training one on the combination of both features. So there's this really interesting trend when you do the additive mixture of features.[00:24:45] Peter Robicheaux: So zero is all clip features and one is all DynaV2 features. So. It, as you, so I think it's helpful to look at the right most chart first, which is as you increase the number of DynaV2 features, your model does worse and worse and [00:25:00] worse on the actual language modeling task. And that's because DynaV2 features were trained completely from a self supervised manner and completely in image space.[00:25:08] Peter Robicheaux: It knows nothing about text. These features aren't really compatible with these text models. And so you can train an adapter all you want, but it seems that it's in such an alien language that it's like a very hard optimization for this. These models to solve. And so that kind of supports what's happening on the left, which is that, yeah, it gets better at answering these questions if as you include more dyna V two features up to a point, but then you, when you oversaturate, it completely loses its ability to like.[00:25:36] Peter Robicheaux: Answer language and do language tasks. So you can also see with the interleaving, like they essentially double the number of tokens that are going into these models and just train on both, and it still doesn't really solve the MMVP task. It gets Lava 1. 5 above random guessing by a little bit, but it's still not close to ChachiPT or, you know, Any like human performance, obviously.[00:25:59] Peter Robicheaux: [00:26:00] So clearly this proposed solution of just using DynaV2 features directly, isn't going to work. And basically what that means is that as a as a vision foundation model, DynaV2 is going to be insufficient for language tasks, right?[00:26:14] Florence 2 (Florence-2: Advancing a Unified Representation for a Variety of Vision Tasks)[00:26:14] Peter Robicheaux: So my next pick for best paper of 2024 would be Florence 2, which tries to solve this problem by incorporating not only This dimension of spatial hierarchy, which is to say pixel level understanding, but also in making sure to include what they call semantic granularity, which ends up, the goal is basically to have features that are sufficient for finding objects in the image, so they're, they're, they have enough pixel information, but also can be talked about and can be reasoned about.[00:26:44] Peter Robicheaux: And that's on the semantic granularity axis. So here's an example of basically three different paradigms of labeling that they do. So they, they create a big dataset. One is text, which is just captioning. And you would expect a model that's trained [00:27:00] only on captioning to have similar performance like chat2BT and like not have spatial hierarchy, not have features that are meaningful at the pixel level.[00:27:08] Peter Robicheaux: And so they add another type, which is region text pairs, which is essentially either classifying a region or You're doing object detection or doing instance segmentation on that region or captioning that region. And then they have text phrased region annotations, which is essentially a triple. And basically, not only do you have a region that you've described, you also find it's like, It's placed in a descriptive paragraph about the image, which is basically trying to introduce even more like semantic understanding of these regions.[00:27:39] Peter Robicheaux: And so like, for instance, if you're saying a woman riding on the road, right, you have to know what a woman is and what the road is and that she's on top of it. And that's, that's basically composing a bunch of objects in this visual space, but also thinking about it semantically, right? And so the way that they do this is they take basically they just dump Features from a vision encoder [00:28:00] straight into a encoder decoder transformer.[00:28:03] Peter Robicheaux: And then they train a bunch of different tasks like object detection and so on as a language task. And I think that's one of the big things that we saw in 2024 is these, these vision language models operating in, on pixel space linguistically. So they introduced a bunch of new tokens to point to locations and[00:28:22] Peter Robicheaux: So how does it work? How does it actually do? We can see if you look at the graph on the right, which is using the, the Dino, the the Dino framework your, your pre trained Florence 2 models transfer very, very well. They get 60%, 60 percent map on Cocoa, which is like approaching state of the art and they train[00:28:42] Vik Korrapati: with, and they[00:28:43] Peter Robicheaux: train with a much more more efficiently.[00:28:47] Peter Robicheaux: So they, they converge a lot faster, which both of these things are pointing to the fact that they're actually leveraging their pre trained weights effectively. So where is it falling short? So these models, I forgot to mention, Florence is a 0. 2 [00:29:00] billion and a 0. 7 billion parameter count. So they're very, very small in terms of being a language model.[00:29:05] Peter Robicheaux: And I think that. This framework, you can see saturation. So, what this graph is showing is that if you train a Florence 2 model purely on the image level and region level annotations and not including the pixel level annotations, like this, segmentation, it actually performs better as an object detector.[00:29:25] Peter Robicheaux: And what that means is that it's not able to actually learn all the visual tasks that it's trying to learn because it doesn't have enough capacity.[00:29:32] PalíGemma / PaliGemma 2[00:29:32] Peter Robicheaux: So I'd like to see this paper explore larger model sizes, which brings us to our next big paper of 2024 or two papers. So PolyGemma came out earlier this year.[00:29:42] Peter Robicheaux: PolyGemma 2 was released, I think like a week or two ago. Oh, I forgot to mention, you can actually train You can, like, label text datasets on RoboFlow and you can train a Florence 2 model and you can actually train a PolyGemma 2 model on RoboFlow, which we got into the platform within, like, 14 hours of release, which I was really excited about.[00:29:59] Peter Robicheaux: So, anyway, so [00:30:00] PolyGemma 2, so PolyGemma is essentially doing the same thing, but instead of doing an encoder decoder, it just dumps everything into a decoder only transformer model. But it also introduced the concept of location tokens to point to objects in pixel space. PolyGemma 2, so PolyGemma uses Gemma as the language encoder, and it uses Gemma2B.[00:30:17] Peter Robicheaux: PolyGemma 2 introduces using multiple different sizes of language encoders. So, the way that they sort of get around having to do encoder decoder is they use the concept of prefix loss. Which basically means that when it's generating, tokens autoregressively, it's all those tokens in the prefix, which is like the image that it's looking at and like a description of the task that it's trying to do.[00:30:41] Peter Robicheaux: They're attending to each other fully, full attention. Which means that, you know, it can sort of. Find high level it's easier for the, the prefix to color, to color the output of the suffix and also to just find like features easily. So this is sort of [00:31:00] an example of like one of the tasks that was trained on, which is like, you describe the task in English and then you give it all these, like, You're asking for it to segment these two classes of objects, and then it finds, like, their locations using these tokens, and it finds their masks using some encoding of the masks into tokens.[00:31:24] Peter Robicheaux: And, yeah, so, one of my critiques, I guess, of PolyGemma 1, at least, is that You find that performance saturates as a pre trained model after only 300 million examples seen. So, what this graph is representing is each blue dot is a performance on some downstream task. And you can see that after seeing 300 million examples, It sort of does equally well on all of the downtrend tasks that they tried it on, which was a lot as 1 billion examples, which to me also kind of suggests a lack of capacity for this model.[00:31:58] Peter Robicheaux: PolyGemma2, [00:32:00] you can see the results on object detection. So these were transferred to to Coco. And you can see that this sort of also points to an increase in capacity being helpful to the model. You can see as. Both the resolution increases, and the parameter count of the language model increases, performance increases.[00:32:16] Peter Robicheaux: So resolution makes sense, obviously, it helps to find small images, or small objects in the image. But it also makes sense for another reason, which is that it kind of gives the model a thinking register, and it gives it more tokens to, like, process when making its predictions. But yeah, you could, you could say, oh, 43.[00:32:30] Peter Robicheaux: 6, that's not that great, like Florence 2 got 60. But this is not Training a dino or a debtor on top of this language or this image encoder. It's doing the raw language modeling task on Cocoa. So it doesn't have any of the bells and whistles. It doesn't have any of the fancy losses. It doesn't even have bipartite graph matching or anything like that.[00:32:52] Peter Robicheaux: Okay, the big result and one of the reasons that I was really excited about this paper is that they blow everything else away [00:33:00] on MMVP. I mean, 47. 3, sure, that's nowhere near human accuracy, which, again, is 94%, but for a, you know, a 2 billion language, 2 billion parameter language model to be chat2BT, that's quite the achievement.[00:33:12] Peter Robicheaux: And that sort of brings us to our final pick for paper of the year, which is AIMV2. So, AIMV2 sort of says, okay, Maybe this language model, like, maybe coming up with all these specific annotations to find features and with high fidelity and pixel space isn't actually necessary. And we can come up with an even simpler, more beautiful idea for combining you know, image tokens and pixel tokens in a way that's interfaceable for language tasks.[00:33:44] Peter Robicheaux: And this is nice because it can scale, you can come up with lots more data if you don't have to come up with all these annotations, right? So the way that it works. is it does something very, very similar to PolyGemo, where you have a vision encoder that dumps image tokens into a decoder only transformer.[00:33:59] Peter Robicheaux: But [00:34:00] the interesting thing is that it also autoregressively tries to learn the mean squared error of the image tokens. So instead of having to come up with fancy object detection or semantic, or segment, or segmentation labels, you can just try to reconstruct the image and have it learn fine grained features that way.[00:34:16] Peter Robicheaux: And it does this in kind of, I think, a beautiful way that's kind of compatible with the PolyGemma line of thinking, which is randomly sampling a prefix line of thinking Prefix length and using only this number of image tokens as the prefix. And so doing a similar thing with the causal. So the causal with prefix is the, the attention mask on the right.[00:34:35] Peter Robicheaux: So it's doing full block attention with some randomly sampled number of image tokens to then reconstruct the rest of the image and the downstream caption for that image. And so, This is the dataset that they train on. It's image or internet scale data, very high quality data created by the data filtering networks paper, essentially which is maybe The best clip data that exists.[00:34:59] Peter Robicheaux: [00:35:00] And we can see that this is finally a model that doesn't saturate. It's even at the highest parameter count, it's, it appears to be, oh, at the highest parameter account, it appears to be improving in performance with more and more samples seen. And so you can sort of think that. You know, if we just keep bumping the parameter count and increasing the example scene, which is the, the, the line of thinking for language models, then it'll keep getting better.[00:35:27] Peter Robicheaux: So how does it actually do at finding, oh, it also improves with resolution, which you would expect for a model that This is the ImageNet classification accuracy, but yeah, it does better if you increase the resolution, which means that it's actually leveraging and finding fine grained visual features.[00:35:44] Peter Robicheaux: And so how does that actually do compared to CLIP on Cocoa? Well, you can see that if you slap a transformer detection head on it, Entry now in Cocoa, it's just 60. 2, which is also within spitting distance of Soda, which means that it does a very good job of [00:36:00] finding visual features, but you could say, okay, well, wait a second.[00:36:03] Peter Robicheaux: Clip got to 59. 1, so. Like, how does this prove your claim at all? Because doesn't that mean like clip, which is known to be clip blind and do badly on MMVP, it's able to achieve a very high performance on fine, on this fine grained visual features task of object detection, well, they train on like, Tons of data.[00:36:24] Peter Robicheaux: They train on like objects, 365, Cocoa, Flickr and everything else. And so I think that this benchmark doesn't do a great job of selling how good of a pre trained model MV2 is. And we would like to see the performance on fewer data as examples and not trained to convergence on object detection. So seeing it in the real world on like a dataset, like RoboFlow 100, I think would be quite interesting.[00:36:48] Peter Robicheaux: And our, our, I guess our final, final pick for paper of 2024 would be Moondream. So introducing Vic to talk about that.[00:36:54] swyx: But overall, that was exactly what I was looking for. Like best of 2024, an amazing job. Yeah, you can, [00:37:00] if there's any other questions while Vic gets set up, like vision stuff,[00:37:07] swyx: yeah,[00:37:11] swyx: Vic, go ahead. Hi,[00:37:13] Vik Korrapati / Moondream[00:37:13] question: well, while we're getting set up, hi, over here, thanks for the really awesome talk. One of the things that's been weird and surprising is that the foundation model companies Even these MLMs, they're just like worse than RT Tether at detection still. Like, if you wanted to pay a bunch of money to auto label your detection dataset, If you gave it to OpenAI or Cloud, that would be like a big waste.[00:37:37] question: So I'm curious, just like, even Pali Gemma 2, like is worse. So, so I'm curious to hear your thoughts on like, how come, Nobody's cracked the code on like a generalist that really you know, beats a specialist model in computer vision like they have in in LLM land.[00:38:00][00:38:01] Isaac Robinson: Okay. It's a very, very interesting question. I think it depends on the specific domain. For image classification, it's basically there. In the, in AIMv2 showed, a simple attentional probe on the pre trained features gets like 90%, which is as well as anyone does. The, the, the, the bigger question, like, why isn't it transferring to object detection, especially like real time object detection.[00:38:25] Isaac Robinson: I think, in my mind, there are two answers. One is, object detection is really, really, really the architectures are super domain specific. You know, we see these, all these super, super complicated things, and it's not super easy to, to, to build something that just transfers naturally like that, whereas image classification, you know, clip pre training transfers super, super quickly.[00:38:48] Isaac Robinson: And the other thing is, until recently, the real time object detectors didn't even really benefit from pre training. Like, you see the YOLOs that are like, essentially saturated, showing very little [00:39:00] difference with pre training improvements, with using pre trained model at all. It's not surprising, necessarily, that People aren't looking at the effects of better and better pre training on real time detection.[00:39:12] Isaac Robinson: Maybe that'll change in the next year. Does that answer your question?[00:39:17] Peter Robicheaux: Can you guys hear me? Yeah, one thing I want to add is just like, or just to summarize, basically, is that like, Until 2024, you know, we haven't really seen a combination of transformer based object detectors and fancy losses, and PolyGemma suffers from the same problem, which is basically to say that these ResNet, or like the convolutional models, they have all these, like, extreme optimizations for doing object detection, but essentially, I think it's kind of been shown now that convolution models like just don't benefit from pre training and just don't like have the level of intelligence of transformer models.[00:39:56] swyx: Awesome. Hi,[00:39:59] Vik Korrapati: can [00:40:00] you hear me?[00:40:01] swyx: Cool. I hear you. See you. Are you sharing your screen?[00:40:04] Vik Korrapati: Hi. Might have forgotten to do that. Let me do[00:40:07] swyx: that. Sorry, should have done[00:40:08] Vik Korrapati: that.[00:40:17] swyx: Here's your screen. Oh, classic. You might have to quit zoom and restart. What? It's fine. We have a capture of your screen.[00:40:34] swyx: So let's get to it.[00:40:35] Vik Korrapati: Okay, easy enough.[00:40:49] Vik Korrapati: All right. Hi, everyone. My name is Vic. I've been working on Moondream for almost a year now. Like Shawn mentioned, I just went and looked and it turns out the first version I released December [00:41:00] 29, 2023. It's been a fascinating journey. So Moonbeam started off as a tiny vision language model. Since then, we've expanded scope a little bit to also try and build some tooling, client libraries, et cetera, to help people really deploy it.[00:41:13] Vik Korrapati: Unlike traditional large models that are focused at assistant type use cases, we're laser focused on building capabilities that developers can, sorry, it's yeah, we're basically focused on building capabilities that developers can use to build vision applications that can run anywhere. So, in a lot of cases for vision more so than for text, you really care about being able to run on the edge, run in real time, etc.[00:41:40] Vik Korrapati: So That's really important. We have we have different output modalities that we support. There's query where you can ask general English questions about an image and get back human like answers. There's captioning, which a lot of our users use for generating synthetic datasets to then train diffusion models and whatnot.[00:41:57] Vik Korrapati: We've done a lot of work to minimize those sessions there. [00:42:00] So that's. Use lot. We have open vocabulary object detection built in similar to a couple of more recent models like Palagem, et cetera, where rather than having to train a dedicated model, you can just say show me soccer balls in this image or show me if there are any deer in this image, it'll detect it.[00:42:14] Vik Korrapati: More recently, earlier this month, we released pointing capability where if all you're interested in is the center of an object you can just ask it to point out where that is. This is very useful when you're doing, you know, I automation type stuff. Let's see, LA we, we have two models out right now.[00:42:33] Vik Korrapati: There's a general purpose to be para model, which runs fair. Like it's, it's it's fine if you're running on server. It's good for our local Amma desktop friends and it can run on flagship, flagship mobile phones, but it never. so much for joining us today, and we'll see you in the [00:43:00] next one. Less memory even with our not yet fully optimized inference client.[00:43:06] Vik Korrapati: So the way we built our 0. 5b model was to start with the 2 billion parameter model and prune it while doing continual training to retain performance. We, our objective during the pruning was to preserve accuracy across a broad set of benchmarks. So the way we went about it was to estimate the importance of different components of the model, like attention heads, channels MLP rows and whatnot using basically a technique based on the gradient.[00:43:37] Vik Korrapati: I'm not sure how much people want to know details. We'll be writing a paper about this, but feel free to grab me if you have more questions. Then we iteratively prune a small chunk that will minimize loss and performance retrain the model to recover performance and bring it back. The 0. 5b we released is more of a proof of concept that this is possible.[00:43:54] Vik Korrapati: I think the thing that's really exciting about this is it makes it possible for for developers to build using the 2B param [00:44:00] model and just explore, build their application, and then once they're ready to deploy figure out what exactly they need out of the model and prune those capabilities into a smaller form factor that makes sense for their deployment target.[00:44:12] Vik Korrapati: So yeah, very excited about that. Let me talk to you folks a little bit about another problem I've been working on recently, which is similar to the clocks example we've been talking about. We had a customer reach out who was talking about, like, who had a bunch of gauges out in the field. This is very common in manufacturing and oil and gas, where you have a bunch of analog devices that you need to monitor.[00:44:34] Vik Korrapati: It's expensive to. And I was like, okay, let's have humans look at that and monitor stuff and make sure that the system gets shut down when the temperature goes over 80 or something. So I was like, yeah, this seems easy enough. Happy to, happy to help you distill that. Let's, let's get it going. Turns out our model couldn't do it at all.[00:44:51] Vik Korrapati: I went and looked at other open source models to see if I could just generate a bunch of data and learn from that. Did not work either. So I was like, let's look at what the folks with [00:45:00] hundreds of billions of dollars in market cap have to offer. And yeah, that doesn't work either. My hypothesis is that like the, the way these models are trained are using a large amount of image text data scraped from the internet.[00:45:15] Vik Korrapati: And that can be biased. In the case of gauges, most gauge images aren't gauges in the wild, they're product images. Detail images like these, where it's always set to zero. It's paired with an alt text that says something like GIVTO, pressure sensor, PSI, zero to 30 or something. And so the models are fairly good at picking up those details.[00:45:35] Vik Korrapati: It'll tell you that it's a pressure gauge. It'll tell you what the brand is, but it doesn't really learn to pay attention to the needle over there. And so, yeah, that's a gap we need to address. So naturally my mind goes to like, let's use synthetic data to, Solve this problem. That works, but it's problematic because it turned out we needed millions of synthetic gauge images to get to reasonable performance.[00:45:57] Vik Korrapati: And thinking about it, reading a gauge is like [00:46:00] not a one, like it's not a zero short process in our minds, right? Like if you had to tell me the reading in Celsius for this, Real world gauge. There's two dials on there. So first you have to figure out which one you have to be paying attention to, like the inner one or the outer one.[00:46:14] Vik Korrapati: You look at the tip of the needle, you look at what labels it's between, and you count how many and do some math to figure out what that probably is. So what happens if we just add that as a Chain of thought to give the model better understanding of the different sub, to allow the model to better learn the subtasks it needs to perform to accomplish this goal.[00:46:37] Vik Korrapati: So you can see in this example, this was actually generated by the latest version of our model. It's like, okay, Celsius is the inner scale. It's between 50 and 60. There's 10 ticks. So the second tick, it's a little debatable here, like there's a weird shadow situation going on, the dial is off, so I don't know what the ground truth is, but it works okay.[00:46:57] Vik Korrapati: There's points on there that are, the points [00:47:00] over there are actually grounded. I don't know if this is easy to see, but when I click on those, there's a little red dot that moves around on the image. The model actually has to predict where this points are, I was already trying to do this with bounding boxes, but then Malmo came out with pointing capabilities.[00:47:15] Vik Korrapati: And it's like pointing is a much better paradigm to to represent this. We see pretty good results. This one's actually for clock reading. I couldn't find our chart for gauge reading at the last minute. So the light. Blue chart is with our rounded chain of thought. This measures, we have, we built a clock reading benchmark about 500 images.[00:47:37] Vik Korrapati: This measures accuracy on that. You can see it's a lot more sample efficient when you're using the chain of thought to model. Another big benefit from this approach is like, you can kind of understand how the model is. it and how it's failing. So in this example, the actual correct reading is 54 Celsius, the model output [00:48:00] 56, not too bad but you can actually go and see where it messed up. Like it got a lot of these right, except instead of saying it was on the 7th tick, it actually predicted that it was the 8th tick and that's why it went with 56.[00:48:14] Vik Korrapati: So now that you know that this. Failing in this way, you can adjust how you're doing the chain of thought to maybe say like, actually count out each tick from 40, instead of just trying to say it's the eighth tick. Or you might say like, okay, I see that there's that middle thing, I'll count from there instead of all the way from 40.[00:48:31] Vik Korrapati: So helps a ton. The other thing I'm excited about is a few short prompting or test time training with this. Like if a customer has a specific gauge that like we're seeing minor errors on, they can give us a couple of examples where like, if it's miss detecting the. Needle, they can go in and correct that in the chain of thought.[00:48:49] Vik Korrapati: And hopefully that works the next time. Now, exciting approach, we only apply it to clocks and gauges. The real question is, is it going to generalize? Probably, like, there's some science [00:49:00] from text models that when you train on a broad number of tasks, it does generalize. And I'm seeing some science with our model as well.[00:49:05] Vik Korrapati: So, in addition to the image based chain of thought stuff, I also added some spelling based chain of thought to help it understand better understand OCR, I guess. I don't understand why everyone doesn't do this, by the way. Like, it's trivial benchmark question. It's Very, very easy to nail. But I also wanted to support it for stuff like license plate, partial matching, like, hey, does any license plate in this image start with WHA or whatever?[00:49:29] Vik Korrapati: So yeah, that sort of worked. All right, that, that ends my story about the gauges. If you think about what's going on over here it's interesting that like LLMs are showing enormous. Progress in reasoning, especially with the latest set of models that we've seen, but we're not really seeing, I have a feeling that VLMs are lagging behind, as we can see with these tasks that should be very simple for a human to do [00:50:00] that are very easy to find VLMs failing at.[00:50:04] Vik Korrapati: My hypothesis on why this is the case is because On the internet, there's a ton of data that talks about how to reason. There's books about how to solve problems. There's books critiquing the books about how to solve problems. But humans are just so good at perception that we never really talk about it.[00:50:20] Vik Korrapati: Like, maybe in art books where it's like, hey, to show that that mountain is further away, you need to desaturate it a bit or whatever. But the actual data on how to, like, look at images is, isn't really present. Also, the Data we have is kind of sketched. The best source of data we have is like image all text pairs on the internet and that's pretty low quality.[00:50:40] Vik Korrapati: So yeah, I, I think our solution here is really just we need to teach them how to operate on individual tasks and figure out how to scale that out. All right. Yep. So conclusion. At Moondream we're trying to build amazing PLMs that run everywhere. Very hard problem. Much work ahead, but we're making a ton of progress and I'm really excited [00:51:00] about If anyone wants to chat about more technical details about how we're doing this or interest in collaborating, please, please hit me up.[00:51:08] Isaac Robinson: Yeah,[00:51:09] swyx: like, I always, when people say, when people say multi modality, like, you know, I always think about vision as the first among equals in all the modalities. So, I really appreciate having the experts in the room. Get full access to Latent Space at www.latent.space/subscribe

Is the end of the year a time to hit cruise control — or your greatest opportunity for growth and preparation? In this episode of The Game Changing Attorney Podcast, Michael Mogill dives into how leaders can turn the holiday season into a competitive edge. While others are slowing down, this is your chance to build momentum and set the stage for a record-breaking year ahead. Don't miss out on these year-end insights:  How proactive year-end planning is a powerful tool that will help you launch into the new year How to use criticism to fuel your ambition and transform skepticism into a driving force for success How reflecting on past successes and surrounding yourself with accomplished individuals can help you overcome self-doubt and turn uncertainty into confidence  Learn how to transform external criticism into a relentless source of internal motivation, empowering you to not only face but conquer your challenges with renewed vigor. This episode provides insights into the art of using self-reflection to overcome self-doubt and turn it into a wellspring of confidence and resilience. Redefine success by turning year-end obstacles into opportunities — because the finish line is just the springboard to your next big victory. ---- Show Notes:  00:00 – Introduction 03:11 – Turning Doubt into Motivation: Leveraging Dark Energy 05:43 – Preparing for the New Year: Hitting the Ground Running 08:33 – Responding to Skeptics and Naysayers: Success as Revenge 15:03 – Battling Self-Doubt: Building Confidence Through Action 18:29 – Measuring Progress: Focusing on the Gain, Not the Gap 20:47 – Handling Success: Why Quiet Winning is the Ultimate Move 27:39 – The Power of Restraint: Success Speaks for Itself 29:18 – Final Thoughts and Takeaways ---- Links & Resources Dan Sullivan The Gap and the Gain by Dan Sullivan Warren Buffett Tom Brady Nick Saban Robert Greene ---- Listening to this episode but want to watch it? Check it out on Spotify.  Do you love this podcast and want to see more game changing content? Subscribe to our YouTube channel. ---- Past guests on The Game Changing Attorney Podcast include David Goggins, John Morgan, Alex Hormozi, Randi McGinn, Kim Scott, Chris Voss, Kevin O'Leary, Laura Wasser, John Maxwell, Mark Lanier, Robert Greene, and many more. ---- If you enjoyed this episode, you may also like: Episode 306 — AMMA — From Ramen to Rolex: Celebrating Milestones Wisely Episode 260 — Robert Simon — The Superpower of Authenticity: Building Communities with Aligned Values | Crisp Episode 153 — AMMA — Ask Michael Mogill Anything: Risks, Rewards, and Role Modeling | Crisp

How can prioritizing your health become the cornerstone of not only your personal well-being but also the success of your business? In this episode of The Game Changing Attorney Podcast, Michael Mogill explores the harmonious balance between personal health and business leadership.  Here's what you'll take away: The importance of reflecting on past experiences to learn and grow, equipping you with resilience to navigate an unpredictable future. How prioritizing health can enhance your decision-making and energy levels, ultimately contributing to the sustainable growth of your law firm. Strategies for setting and achieving health goals through routine, discipline, and accountability — principles that are equally effective in business operations. Prioritizing your health doesn't mean you have to hit pause on business growth — it's about leveraging small, consistent actions to create massive, compounding results. Whether you're leading your team, managing your firm, or scaling to the next level, it's crucial to integrate wellness into your lifestyle so that your energy and focus are at their peak.  Health isn't a distraction; it's an asset that amplifies your ability to lead and innovate. ---- Show Notes:  00:00 - The Power of Public Commitment 06:00 - Why Health Should Be Your First Priority: The Business Case 10:26 - Building Sustainable Habits: The Three Pillars of Health 15:52 - The Wake-Up Call: When Success Costs Your Health 18:11 - Breaking Through Analysis Paralysis 20:39 - The Power of Public Accountability 24:53 - Committing to Change: From Intention to Action ---- Links & Resources Mediterranean Diet Marcus Philly MyFitnessPal Whoop Eight Sleep Inside Tracker LabCorp DEXA Scan ---- Listening to this episode but want to watch it? Check it out on Spotify.  Do you love this podcast and want to see more game changing content? Subscribe to our YouTube channel. ---- Past guests on The Game Changing Attorney Podcast include David Goggins, John Morgan, Alex Hormozi, Randi McGinn, Kim Scott, Chris Voss, Kevin O'Leary, Laura Wasser, John Maxwell, Mark Lanier, Robert Greene, and many more. ---- If you enjoyed this episode, you may also like: Episode 283 — Marcus Filly — Fitness Secrets for Professional Success Episode 176 — George Foreman III — The Fighter's Mentality | Crisp Episode 228 — AMMA — How to Actually Achieve Your Goals | Crisp

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Glennon's hilarious misunderstanding with a TSA agent she'll remember 'til she dies; Amma's delightful response when Abby rushed onto the soccer field; and the delight Amanda experienced the day she switched it all up by not freaking out. This episode was inspired by our conversation with Ross Gay – if you missed it, check out: Episode 216 How to Find DELIGHT Today (and Every Day) with Ross Gay.  To learn more about listener data and our privacy practices visit: https://www.audacyinc.com/privacy-policy Learn more about your ad choices. Visit https://podcastchoices.com/adchoices

Do you constantly feel like you're playing catch-up in a league full of high achievers? In this episode of The Game Changing Attorney Podcast, Michael Mogill dives into the nuances of navigating success, both individually and as a business owner. From harnessing the power of a growth mindset to redefining standards within your team, this conversation uncovers practical strategies to elevate your practice. You'll learn: How reframing comparisons and modeling the habits of more successful peers can fuel your personal and professional growth The importance of clear communication and alignment with your team to ensure consistency towards updated goals for your business The value of supporting others on their paths to foster a sincere and growth-focused community Whether facing impressive egos or celebrating varied success stories, learn how to embrace challenges and foster an environment where everyone's journey—no matter the stage—is acknowledged and supported.  ---- Show Notes: [MM:SS] – TOPIC [MM:SS] – TOPIC [MM:SS] – TOPIC [MM:SS] – TOPIC ---- Links & Resources Florida Panthers NHL Stanley Cup Edmonton Oilers Vegas Golden Knights ---- Listening to this episode but want to watch it? Check it out on Spotify.  Do you love this podcast and want to see more game changing content? Subscribe to our YouTube channel. ---- Past guests on The Game Changing Attorney Podcast include David Goggins, John Morgan, Alex Hormozi, Randi McGinn, Kim Scott, Chris Voss, Kevin O'Leary, Laura Wasser, John Maxwell, Mark Lanier, Robert Greene, and many more. ---- If you enjoyed this episode, you may also like: Episode 251 — Alex Hormozi — The Power of Humility in Achieving Entrepreneurial Success | Crisp Episode 210 — AMMA — Failure Isn't Final: Lessons Learned From Setbacks and Struggles | Crisp Episode 107 — Randi McGinn — Authenticity is the Advantage | Crisp

Is your law firm ready to unleash exponential growth by trading entitlement for relentless, results-focused execution? In this episode of The Game Changing Attorney Podcast, Michael Mogill reveals the raw realities of running a law firm, sharing powerful insights on mastering adaptability, executing with precision, and building a results-driven culture. You'll learn: How to build adaptability into your practice, equipping your firm to handle unexpected challenges while staying on the path to growth. Proven strategies for honing in on one game-changing goal that drives meaningful progress and fuels long-term success. Why creating a transparent, results-driven culture is essential for empowering your team to deliver measurable outcomes consistently. In the fast-paced world of legal practice, taking your firm to the next level demands more than just effort—it's about shedding entitlement and adopting a results-driven mindset. This discussion is loaded with actionable strategies to shift your approach, ensuring every move drives real impact and positions your firm at the forefront of excellence. ---- Show Notes: 00:00 – Introduction 03:11 – Adapting to the Unexpected: Lessons from 2024 05:23 – The Reality of Hard Work: Why Results Matter Most 09:43 – Aligning Effort and Accountability for Team Success 14:10 – Setting Clear Metrics: How to Define and Measure Greatness 17:45 – Identifying Value-Driven Leadership in Your Firm 21:19 – Shining a Light on Performance: The Power of Transparency 23:36 – Accountability vs. Entitlement: The Key to a High-Performance Culture 23:39 – Final Thoughts and Takeaways ---- Links & Resources Elon Musk Beyonce Salesforce Domo  ---- Listening to this episode but want to watch it? Check it out on Spotify.  Do you love this podcast and want to see more game changing content? Subscribe to our YouTube channel. ---- Past guests on The Game Changing Attorney Podcast include David Goggins, John Morgan, Alex Hormozi, Randi McGinn, Kim Scott, Chris Voss, Kevin O'Leary, Laura Wasser, John Maxwell, Mark Lanier, Robert Greene, and many more. ---- If you enjoyed this episode, you may also like: Episode 238 — Dorie Clark — The Long Game: How to Be a Long-Term Thinker in a Short-Term World Episode 171 — Adam Alter — Anatomy of a Breakthrough: How to Get Unstuck When It Matters Most | Crisp Episode 208 — AMMA — How to Coach Team Members to Greatness | Crisp

Is your law firm equipped to thrive when the pressure's on and challenges hit harder than ever? In this episode of The Game Changing Attorney Podcast, Michael Mogill is diving into how top leaders stay on course, even when challenges hit hard. We're tackling roadblocks and uncovering ways to build an unshakable team foundation. You'll learn: Key strategies to improve clarity, problem-solving skills, and stress management through grounding techniques, such as meditation.  How to become a more resilient leader by reframing setbacks as opportunities for development.  The importance of leveraging team support during personal challenges to maintain business stability. Challenges are going to come whether we like it or not. But here's the deal: it's not the adversity itself that makes or breaks you as a leader. It's how you respond. Your resilience is what sets the true game changers apart from everyone else​​​. ---- Show Notes: 00:00 – Introduction 02:16 – Handling Stress and Adversity as a Leader 05:40 – Building Resilience Through Meditation and Mindset 07:55 – When Everything Falls Apart: How to Respond 10:20 – Reframing Challenges as Growth Opportunities 12:37 – Balancing Personal Crises and Professional Responsibilities 15:10 – Taking Corrective Action in Financial Hardships 18:45 – Making Tough Decisions to Keep Your Firm Afloat 22:03 – Final Thoughts and Takeaways ---- Links & Resources   Transcendental Meditation Jocko Willick Extreme Ownership by Jocko Willink Navy SEALs Cy Wakeman ---- Listening to this episode but want to watch it? Check it out on Spotify.  Do you love this podcast and want to see more game changing content? Subscribe to our YouTube channel. ---- Past guests on The Game Changing Attorney Podcast include David Goggins, John Morgan, Alex Hormozi, Randi McGinn, Kim Scott, Chris Voss, Kevin O'Leary, Laura Wasser, John Maxwell, Mark Lanier, Robert Greene, and many more. ---- If you enjoyed this episode, you may also like: 257 Jason Hehir — Leading and Documenting Winning Teams 303 Eric Thomas — Turning Struggles into Strength: A Blueprint for Resilience 295 AMMA — From Crisis to Comeback: Strategies for Resilient Leadership

Nihal has chosen Amma, the debut novel by Sri Lankan writer Saraid de Silva, which he compares to meeting someone on a train and having a long, intense conversation. Elif Shafak's choice, however, You're Embarrassing Yourself by Desiree Akhavan, he describes as more like a hilarious night in a pub. Harriett has gone for The Second Murderer by Denise Mina, a Philip Marlowe novel. But is there a need to add to Raymond Chandler's canon?Produced for BBC Audio Bristol by Sally Heaven Join the conversation on Instagram: agoodreadbbc

Feeling like the grind of running your law firm is burning you out? In this episode of The Game Changing Attorney Podcast, we're breaking down the myths of burnout and sharing the real strategies for balancing personal well-being while driving your firm forward. If you've ever wondered how to keep your energy high and your practice thriving, this is the conversation for you. Prepare to: Rethink burnout and how a clear mission can combat exhaustion Take a break without guilt — and see your firm thrive Prioritize your health to boost leadership effectiveness Ready to redefine success and find the balance that fuels both your personal and professional growth? This episode has the tools to help you lead with purpose and stay energized for the journey ahead. Don't miss it! ---- Show Notes: 00:00 – Introduction 02:16 – The Importance of Stress-Testing Your Team 05:40 – Debunking the Myth of Burnout 09:06 – Taking Time Off Without Guilt: Setting Up for Success 13:58 – Knowing the Right Time to Take Vacations as a Firm Owner 14:42 – The Corporate Athlete Mindset: Balancing Health and Business 17:30 – Why Self-Care Improves Decision-Making as a Leader 18:35 – Final Thoughts and Takeaways ---- Links & Resources Mother Teresa Gandhi The Ritz-Carlton ---- Listening to this episode but want to watch it? Check it out on Spotify.  Do you love this podcast and want to see more game changing content? Subscribe to our YouTube channel. ---- Past guests on The Game Changing Attorney Podcast include David Goggins, John Morgan, Alex Hormozi, Randi McGinn, Kim Scott, Chris Voss, Kevin O'Leary, Laura Wasser, John Maxwell, Mark Lanier, Robert Greene, and many more. ---- If you enjoyed this episode, you may also like: 262 Roland Frasier — The Secret to Scale: How to Grow Your Business 283 Marcus Filly — Fitness Secrets for Professional Success 299 AMMA — How to Build a Resilient, Self-Sufficient Team That Thrives Without You

Ever thought about how AI and feedback can completely reshape the future of your law firm? On this Game Changing Attorney Podcast episode, Michael Mogill is diving deep into how cutting-edge technology and strategic feedback are game changers for growing your practice. We're talking about the tools you need right now to scale, innovate, and lead your firm with clarity and confidence. Here's what you're going to learn: The secret weapon custom AI (like Mogill GPT) brings to your client and team interactions. How to tell the difference between feedback that fuels growth vs. feedback that derails it. Why aligning with your firm's unique vision is the key to long-term success. Ready to harness AI's potential, create a culture of powerful feedback, and make decisions that push your firm to the next level? This episode will give you the roadmap to take the lead, not follow. The future of your practice is waiting — join us on this journey! ---- Show Notes: 00:00 – Introduction 02:16 – The Role of AI and Technology in Law Firms Today 05:31 – Cutting Through the Noise: How to Filter Useful Feedback 07:27 – Understanding the Value of Feedback from Your Team 09:57 – Differentiating Between High and Low Accountability Feedback 12:37 – Processing Critical Feedback: Why It's Important When It Stings 16:21 – Navigating Contradictory Feedback from Respected Peers 20:47 – The Impact of Experience-Based Feedback vs. Opinion-Based Advice 23:39 – Final Thoughts and Takeaways ---- Links & Resources ChatGPT Gestalt Psychology TikTok ---- Listening to this episode but want to watch it? Check it out on Spotify.  Do you love this podcast and want to see more game changing content? Subscribe to our YouTube channel. ---- Past guests on The Game Changing Attorney Podcast include David Goggins, John Morgan, Alex Hormozi, Randi McGinn, Kim Scott, Chris Voss, Kevin O'Leary, Laura Wasser, John Maxwell, Mark Lanier, Robert Greene, and many more. ---- If you enjoyed this episode, you may also like: 278 Adam Alter – From Stuck to Unstoppable: Gaining and Maintaining Momentum 301 Michael Cowen – Investing in Legal Excellence: Training, Tools, and Team Building 268 AMMA – Resilience in the Face of Uncertainty

Trump's Town Hall DJ love-in stumped a lot of folks. From the conspirituality angle, however, there's something familiar about this improvised ritual. Because the world we cover is strewn with the wreckage of charismatic patriarchs who bleed their followers dry in the closed-loop system of cultic dynamics.  When leaders like Trump get to the end of the line, all that's left is pure affect. They have exhausted themselves in the efforts of self-aggrandizement. They have nothing left to say because they've said it a 1000 times. They're all out of stories. They might even be bored of their own bullshit. Underslept or dysregulated by chaotic schedules, they may not be sure where they are. They're beset by enemies, ill and in cognitive decline, but can't admit it. And when they start to feel overwhelmed by their followers' pathetic—in their view—neediness, they will reach for any help they can get in maintaining their emotional dominance.  What October 14 showed us is that in these moments, Trump's go-to resource is canned music, and, without his own iPad at the ready, a DJ handler who can spin the tracks and support his reverie of relief and control.  Show Notes Trump holds town hall in Pennsylvania suburbs with focus on economy  How Media Outlets Covered Trump's Musical Town Hall Donald Trump is DJing weekly at Mar-a-Lago, plays Broadway songs and Celine Dion from his iPad, report says DJ T: How Trump controls the music at Mar-a-Lago   Twitter thread  152: Tulsi Gabbard's Krishna Consciousness (w/Nitai Joseph) PLAYING FOR OSHO 1989 Introduction – Chinmaya Dunster  Patted Down by India's Hugging Saint  The Soft Nationalism of Amma, India's Hugging Saint 37: Guru Jagat Cultjacks Kundalini Yoga (w/Philip Deslippe & Stacie Stukin) Letter to Sogyal Rinpoche from current and ex-Rigpa members details abuse allegations  Trump's bizarre music session reignites questions about his mental acuity  Brief: Trump's Impending Ego Implosion (w/ Daniel Shaw) Traumatic Narcissism: Relational Systems of Subjugation Sex abuse allegations surround L.A. Buddhist teacher Learn more about your ad choices. Visit megaphone.fm/adchoices

Ever feel like life is moving faster than you can keep up? In this episode of The Game Changing Attorney Podcast, we're diving deep into the mindset and strategies that separate high achievers from the rest. I'm breaking down how pace, focus, and mindset can transform your business, your life, and your growth trajectory. You'll learn: How accelerating your pace can redefine your standards and put you ahead of the competition. Overcoming negative thoughts and imposter syndrome to unlock your full potential. Harnessing motivation — even from sources like fear or doubt — to fuel your growth. If you're ready to elevate your execution, silence the doubts in your head, and channel your motivation into meaningful impact, this episode is for you. Let's turn your vision into reality! ---- Show Notes: 00:00 – Introduction 01:26 – Imposter Syndrome: Turning Self-Doubt Into Fuel 05:02 – The Speed of Business: Executing at a Higher Level 06:12 – Overcoming Negative Thoughts as a Business Leader 08:49 – Managing Challenges and Stress in Your Firm 12:46 – Imposter Syndrome: Being in the Right Room 16:49 – The Power of Dark Energy: Using Doubt to Your Advantage 19:52 – Shifting From Personal to Team Success 22:35 – Final Thoughts and Takeaways ---- Links & Resources Zootopia DMV Michael Jordan Kobe Bryant Franco brothers Andy Grove Intel Harvard Django Apple Turbo ---- Listening to this episode but want to watch it? Check it out on Spotify.  Do you love this podcast and want to see more game changing content? Subscribe to our YouTube channel. ---- Past guests on The Game Changing Attorney Podcast include David Goggins, John Morgan, Alex Hormozi, Randi McGinn, Kim Scott, Chris Voss, Kevin O'Leary, Laura Wasser, John Maxwell, Mark Lanier, Robert Greene, and many more. ---- If you enjoyed this episode, you may also like: 298 Rich Diviney– The Fundamental Traits Navy SEALs Use to Excel 283 Marcus Filly – Fitness Secrets for Professional Success 292 AMMA – A Leader's Battle Against Complacency

Is your law firm stuck because you're mismanaging your finances? It's time for a serious wake up call. On this episode of The Game Changing Attorney Podcast, Michael Mogill dives into the hard truths about balancing personal splurges with reinvesting in your firm's future. You are about to learn: The investment mindset that separates the elite from the rest. How to enjoy the fruits of your labor without sabotaging your firm's growth. Key strategies for keeping your team on board while you celebrate personal wins. If you're serious about dominating your market and ensuring every dollar propels your law firm forward, this episode is for you. ---- Show Notes: 00:00 – Introduction 01:09 – The Significance of Financial Success in the Legal Industry 02:07 – Balancing Indulgence with Business Growth 05:31 – How to Confidently Spend on Yourself Without Guilt 06:33 – The Journey of Law Firm Owners: Reinvesting vs. Indulging 10:33 – Reinvestment as a Path to Becoming a Market Leader 14:14 – Celebrating Milestones and Rewarding Yourself 18:16 – Managing Team Perception of Your Success 22:21 – Why Money Shouldn't Be Demonized in the Legal Profession ---- Links & Resources Bluey Party City Disney Olaf Peppa Pig Mario Luigi Game Changers Summit Alexander Shunnarah Lamborghini Huracan Lamborghini Diablo  ---- Listening to this episode but want to watch it? Check it out on Spotify.  Do you love this podcast and want to see more game changing content? Subscribe to our YouTube channel. ---- Past guests on The Game Changing Attorney Podcast include David Goggins, John Morgan, Alex Hormozi, Randi McGinn, Kim Scott, Chris Voss, Kevin O'Leary, Laura Wasser, John Maxwell, Mark Lanier, Robert Greene, and many more. ---- If you enjoyed this episode, you may also like: 264 Bill Perkins – Die with Zero: Getting All You Can from Your Money and Your Life 285 Morgan Housel – Mastering the Psychology of Wealth: Beyond Money and Success 304 AMMA – Creating a Culture of Success