Podcasts about Satya

Satya, otherwise known as Shivrang, joins Hannah while Lamorne is out on assignment. Together they reminisce about helping their friends juge up their hookup dating profiles, that time Hannah read a scene with Robert De Niro. Plus, what's the best way to make a speedy exit.See omnystudio.com/listener for privacy information.

In this episode we have the privilege of speaking with Dr. Satya Sardonicus about transofrming trauma through fluid adaptability, both in her own journey and through helping others.  Dr. Satya is a visionary healer, fascia expert, and the creator of the NeuroFascial Flow Method. After navigating years of mysterious, debilitating symptoms that mainstream medicine couldn't explain, she not only reclaimed her own health - she pioneered a whole new approach to healing that blends fascial science, nervous system regulation, trauma resolution, and deep somatic wisdom.   Dr. Satya now helps both individuals and healthcare providers reimagine what's possible - especially for those with complex or chronic conditions. Her work invites us to stop chasing symptoms and instead listen to the body's innate intelligence… to create lasting change from the inside out. Current and past editions of the magazine can be found at: https://pathwaystofamilywellness.org/

What does it look like to truly live your values, lead with purpose, and build a business rooted in ancient wisdom and modern impact?In this powerful episode, I'm joined by Susanna Barkataki — bestselling author, speaker, and founder of Ignite Institute for Yogic Leadership and Social Change and Yoke Yoga. From her multicultural upbringing to launching two mission-driven businesses, Susanna shares how her deep connection to yoga's roots has shaped her life, leadership, and legacy.We dive into everything from her viral blog moment and first book (Embrace Yoga's Roots) to money mindset, the spiritual side of entrepreneurship, and how to bring yogic values like Satya (truth) and Ahimsa (non-harm) into your business, relationships, and daily life.Whether you're a wellness leader, entrepreneur, or someone seeking more alignment and meaning, this conversation will inspire you to own your gifts, speak your truth, and lead from within.In this episode, we cover:Susanna's journey from childhood meditation to building a global yoga movementHow yoga helped her become a multi-passionate founder, author, and PhD studentThe truth about charging your worth in the wellness industryThe power of living and leading through yogic valuesHer upcoming book Ignite Your Yoga (April 2025 release!) and what you can expectWhy your greatest wounds often hold your greatest giftsHow to embody your values moment by moment — not just on the mat✨ Memorable Moments:“The very thing that made me feel like I didn't belong… became my greatest gift.”“Yoga is a practice of becoming more human. It's not about perfect poses, it's about presence.”“Your whole life can be your yoga practice.”Resources & Links:

On this Day 5, we dive deeper into the cognitive dissonance to cosmic significance. What it means to be alive as we are moving out of one Era from ‘Age of Pisces' to ‘Age of Aquarius', from one mind set from the age of darkness in ‘Kali Yuga' to age of ‘Satya the Golden Age of Truth', from one cycle of ‘Saturnian of the Cross of Planning' to the ‘Uranian Cross of the Sleeping Phoenix'. Each one of us have unique imprint of the unconsciousness self and the personality self in the Human design Mandala. Each of us is manifested from 1 in 1080 different variables as a cosmic unit in this present in time. This episode is about the the writer's path to walk in understanding how an individual learn to be self-empowered, self-integrate, self-sufficient, and self-acceptance to guide our her own authority to be more resilient and move to higher emotional awareness. The paradigm shift is here and structures are slowly being broken and new system needs to build. So the individuals who are here and now are the cosmic divine beings that all of us have been waiting for to bring in the light being of the next paradigm.

​Microsoft Chairman & CEO Satya Nadella sat down with Madrona Managing Director Soma Somasegar at Madrona's 2025 Annual Meeting to discuss the key inflection points in his leadership journey, Microsoft's AI strategy, and the massive economic impact AI will have on the world. From redefining company culture to betting big on AI and OpenAI,Satya shares deep insights into Microsoft's transformation — and what's next. Watch now for leadership lessons, AI predictions, and the future of innovation! Transcript: https://www.madrona.com/satya-nadella-microsfot-ai-strategy-leadership-culture-computing Chapters: (00:00) Introduction (03:34) Satya Nadella's Journey as CEO  (09:57) Cultural Transformation at Microsoft (14:03) The Influence of Cricket on Leadership (18:27) The AI Revolution and Microsoft's Role (28:30) The Future of AI and Economic Impact

Dibyendu Bhattacharya, a versatile Indian actor with deep Bengali roots, has carved a niche in theatre, film, and digital media through iconic roles and artistic integrity. Born in Kolkata, his journey began with a shift from cricket to storytelling, followed by formal training at the National School of Drama (NSD), where he honed his craft alongside peers like Irrfan Khan. His theatrical genesis includes 55+ plays and socially charged performances with Jana Natya Manch, establishing his unique stage presence. In cinema, Dibyendu gained recognition with Satya (1998), delivered breakthrough roles like Chunni in Dev.D (2009), and ad-libbed the iconic line “Keh ke loonga!” in Gangs of Wasseypur. His digital acclaim includes Criminal Justice (2019) and The Railway Men, earning awards for portraying Kamruddin, a heroic railway worker during the Bhopal Gas Tragedy. Noteworthy roles span morally complex characters like Sub-Inspector Imtiaz (Ab Tak Chhappan) and Yeda Yakub (Black Friday), alongside supporting figures like sports journalist Debashish Banerjee (Goal). Beyond acting, Dibyendu practices Vipassana meditation, draws inspiration from Buddhist philosophy, and mentors talents like Parineeti Chopra. A connoisseur of Bengali literature and Satyajit Ray’s films, he quietly supports NGOs for child education and rural theatre. His disciplined lifestyle, shaped by overcoming childhood asthma, and versatility across media—including voicing Gollum in Hindi—cement his legacy as a multifaceted artist bridging cultural heritage and contemporary narratives.See omnystudio.com/listener for privacy information.

Difficult conversations can feel overwhelming, triggering anxiety, defensiveness, or avoidance. Why does this happen? This episode explores the biology behind conflict, explaining how the brain and nervous system react to confrontation. When emotions take over, we often react impulsively rather than responding with clarity and confidence.The discussion breaks down why we avoid tough conversations, how childhood conditioning shapes our reactions, and why our nervous system triggers stress responses in moments of disagreement. Through a yogic perspective, key principles like Ahimsa (non-violence) and Satya (truthfulness) offer guidance on handling conversations with compassion and clarity.Practical strategies include grounding techniques, breathing exercises, and learning how to pause before reacting. The episode also covers real-life scenarios—like setting boundaries with a friend or addressing workplace conflicts—to illustrate how we can navigate difficult conversations while maintaining emotional balance.If you've ever struggled with tough discussions, this episode provides clear, actionable steps to approach them with confidence and calm.Episode Chapters:00:00:00 Introduction00:02:00 Why Difficult Conversations Feel So Emotionally Intense00:05:00 The Brain's Fight-or-Flight Response in Conflict00:08:00 Why We Avoid Difficult Conversations00:12:00 The Impact of Childhood Conditioning on Communication00:15:00 A Yogic Perspective: Ahimsa & Satya in Conflict00:18:00 Practical Strategies to Stay Calm and Respond Thoughtfully00:22:00 The Power of Breathwork in Tough Conversations00:25:00 Real-Life Examples: Setting Boundaries & Workplace Conflicts00:28:00 Final Reflections on Emotional Awareness and Growth—-------—-------—-Michael Henri's Instagram: https://www.instagram.com/michaelyoga.pt/ Going Pro Yoga's Instagram: https://www.instagram/com/goingproyoga/—-------—-------—-Other Mentions:Ep# 112: The Nervous System and The Polyvagal Theory—-------—-------—Tags: difficult conversations, conflict resolution, emotional intelligence, communication skills, setting boundaries, self-regulation, nervous system, stress response, mindfulness, yoga philosophy, ego vs. authenticity, self-growth, vulnerability, active listening, handling disagreements

Hey everybody! Episode 153 of the show is out. In this episode, I spoke with Satya. This was my second time speaking with her. I have had the chance to get to know Satya and her work more since the first interview and I was very impressed with her ability to bridge different modalities together to create cathartic experiences for her guests and to help them to learn tools to do this work better. In this episode we spoke about this, about diagnosing and the felt-sense and presence that that involves, about ayahuasca, psychology and the bridging of ancient wisdom with more modern therapeutic ways of working with sacraments, and many other topics. I trust you all will gain much from this episode and the wisdom that Satya has to share. As always, to support this podcast, check out my Patreon page below. Enjoy!

Dans cet épisode, je vous invite à explorer des manières simples, accessibles et surtout réalistes d'intégrer le yoga à votre quotidien, loin de l'obligation des postures.Vous allez découvrir :Comment pratiquer la non-violence (Ahimsa) en respectant vos besoins et votre énergie.L'importance d'exprimer honnêtement votre vérité (Satya), avec douceur et sincérité.Des astuces concrètes pour introduire la modération (Brahmacharya), en particulier face à l'usage du téléphone.Comment observer simplement votre respiration au quotidien pour renforcer votre attention.Cet épisode vous montrera que pratiquer le yoga, c'est avant tout une invitation à mieux vous comprendre et vous écouter, dans une démarche libre et décomplexée. Prêts à tenter l'expérience ?Pour poursuivre l'aventure, rejoignez la Newsletter qui s'adresse aux profs de Yoga.

The fourth step of the Eightfold Path is Wise Action, which focuses on cultivating ethical behavior and harmonious relationships. It involves following the Five Precepts: refraining from taking life (Ahimsa), stealing (Asteya), sexual misconduct (Brahmacharya), false or harmful speech (Satya), and intoxication. These precepts guide practitioners toward actions that promote compassion, mindfulness, and respect for all beings.Wise Action also encourages choosing a livelihood that doesn't contribute to suffering and emphasises selflessness and generosity (Aparigraha), fostering empathy and detachment from material attachments.In your asana practice, reflect on your motivations for action. Are your choices rooted in fear or love, criticism or curiosity? By becoming aware of your thoughts, words, and actions, you can cultivate more mindful responses, aligning your actions with your core values. Recognise that every choice has consequences...your current life is shaped by past actions. Use this awareness to make wise, virtuous choices that promote happiness and well-being for yourself and others.To read more and to practice with Zephyr Wildman, click here. To support Zephyr Yoga Podcast, donate here. Hosted on Acast. See acast.com/privacy for more information.

Happy Satiated Saturday! Proprioception is your body's ability to sense movement and know where you are in space. When you've experienced past trauma, you dissociate from your body out of protection. This can decrease your proprioceptive awareness where food comes in to experience movement, embodiment, and have a moment of presence to feel where you are right here and now. In this week's Satiated Podcast episode, I chat with Dr. Satya Sardonicus, a leading expert in fascia and nervous system healing and the creator of NeuroFascial Flow, about: What is proprioception and fasciaHow low proprioception and rigidity in your fascial system can lead to increased stressProprioceptive and fascial exercises you can engage in that can help you to navigate food urgesWhat somatic and nervous system practices could be making things worse and dysregulating youYou can also read the transcript to this week's episode ​here​: https://www.stephaniemara.com/blog/the-power-of-proprioceptive-practicesHope you enjoy this episode and see you all next week!With Compassion and Empathy, Stephanie Mara FoxKeep in touch with Satya:Website: https://drsatyawellness.com/  Instagram: https://www.instagram.com/drsatyawellness/ TikTok: https://www.tiktok.com/@drsatyawellnessSupport the showKeep in touch with Stephanie Mara:Instagram: https://www.instagram.com/_stephaniemara/Facebook: https://www.facebook.com/stephaniemarafoxWebsite: https://www.stephaniemara.com/https://www.somaticeating.com/Linkedin: https://www.linkedin.com/in/stephmara/TikTok: https://www.tiktok.com/@stephaniemarafoxContact: support@stephaniemara.comSupport the show:Become a supporter: https://www.buzzsprout.com/809987/supportMy favorite water filter: https://www.pureeffectfilters.com/#a_aid=somaticeatingReceive 15% off my fave protein powder with code STEPHANIEMARA at checkout here: https://www.equipfoods.com/STEPHANIEMARAUse my Amazon Affiliate link when shopping on Amazon: https://amzn.to/448IyPl Special thanks to Bendsound for the music in this episode. ...

Shattered by catastrophe and losing faith ingoodness, hope is restored when an old friend sends a heartfelt note, reminding him that good things happen to good people.Story written, edited, narrated, and produced by Abhay Maheshwari. Follow Abhay by ⁠⁠clicking this link⁠⁠Female Voice by Akanksha Thapliyal (https://www.instagram.com/kahaanibyyogini/)Dear listener, to support the show - Follow, & sign-up for new alerts & leave a rating.LaaL Chashma – Hindi Stories is a critically acclaimed Hindi short story podcast that has been featured on the most renowned Indian audio streaming services JioSaavn & Gaana's, "Editor's Pick" & curation for World Podcaster's Day 2021" respectively. The show has been identified as having “the best crossover of extraordinary stories and the Hindi language” by Kommune (India's premier performing arts collective for storytellers). It is heard by Hindi listeners across 50+ countries and is the only podcast that was featured & recommended by leading Indian news publication Mid-day as part of the "Hindi Divas 2022" curation.Abhay is an award-winning, nationally featured, & critically acclaimed writer, podcaster, and spoken-word storyteller. In 2022, he was recognized as one of the top 5 Next Big Creators in the Indian Audio space. In 2021, he won the prestigious nationwide podcast hunt conducted by JioSaavn and was also recognized in the Top 10 podcasters by Gaana. In 2023, he was the finalist for Podcaster of the year at the Radio & Music Awards India among renowned Indian personalities (Ankur Warikoo, Cyrus Broacha)He is a TEDx speaker and has been invited for his thought leadership by top Indian universities such as the Indian Institute of Foreign Trade & Indian School of Business.This story under LaaL Chashma - Hindi Stories podcast is an original work of art by Abhay Maheshwari. All rights reserved.

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While he hardly needs an introduction, few leaders have shaped the future of technology quite like Satya Nadella.He stepped into Microsoft's top job at a catalytic moment—making bold bets on the cloud, embedding AI into the fabric of computing, all while staying true to Microsoft's vision of becoming a “software factory.”In this conversation with Aditya Agarwal and Ruchi Sanghvi, Satya discusses:• his approach to building early at Microsoft and why we all need to continue “refounding” • the future of AI and why critical thinking will remain at a premium• Microsoft's partnership with OpenAI, his vision for quantum, and moreConnect with us here:1. Satya Nadella – https://x.com/satyanadella2. Ruchi Sanghvi – https://x.com/rsanghvi3. Aditya Agarwal – https://x.com/adityaag4. South Park Commons – https://x.com/southpkcommons00:00 Trailer00:57 Introduction02:03 Joining Microsoft06:39 Culture and relevance11:21 Winning and not winning17:37 Making that turnaround happen22:30 Contrarian leadership belief23:35 Investments in startups27:33 Foundation models31:07 Artificial intelligence36:32 The future40:39 Quantum computing44:53 Multiverse45:33 The next generation 50:10 Being competitive52:34 OutroThis episode was produced and distributed by our friends at Atomik Growth: https://atomikgrowth.com/

In this episode of Unicorn Bakery, Hunter Walk, co-founder of Homebrew, joins Fabian Tausch for an in-depth conversation about his journey from product management at Google and YouTube to building one of the most respected early-stage venture capital firms in Silicon Valley. Hunter shares the story behind Homebrew's evolution, why he and his co-founder Satya Patel decided to rethink the traditional VC model after nearly a decade, and how they now operate as a self-funded evergreen fund. What You'll Learn in This Episode: The Transition from Builder to Investor: Why Hunter left YouTube and Google after a decade to explore what truly mattered to him in his career. How Hunter and Satya Patel created Homebrew out of a shared desire to work together and support founders authentically. The Philosophy Behind Homebrew: Why Homebrew recently transitioned into a self-funded evergreen model after a decade of operating traditional VC funds. How this shift allows Hunter and Satya to focus on what they love: helping founders succeed without the constraints of managing external LP capital. How to Evaluate Investors as a Founder: The importance of speaking to other portfolio founders to understand how investors behave in both good and tough times. Why do the best investors focus on backing founders, not just companies, and how do you identify those who align with your needs? Key Traits for Long-Term Success: Why joy and purpose are critical for sustainable professional success. How to avoid being trapped in "good enough" situations and make bold career decisions that align with your values and ambitions. ALL ABOUT UNICORN BAKERY: https://zez.am/unicornbakery  Where to find Hunter: LinkedIn: https://www.linkedin.com/in/hunterwalk/  Website: https://homebrew.co/  Join our Founder Tactics Newsletter: 2x die Woche bekommst du die Taktiken der besten Gründer der Welt direkt ins Postfach: https://www.tactics.unicornbakery.de/  Chapter: (00:00:00) Why did Hunter decide on the identity-change? (00:08:50) How to make bigger decisions (00:14:24) Hunter's advice for potential founders (00:20:15) The hardest part about building a venture firm (00:24:14) Hunter's advice on finding an excellent investor (00:27:51) Longterm-Building vs. Short-term-Building: Not to be the loudest (00:32:47) "The Homebrew 2.0" (00:37:07) The journey to more self-fulfillment (00:40:50) What would set me apart from the mediocre when building a venture? (00:46:50) On top of the world and NOT crazy: What are the characteristics of these people?

Today, we meet a retired librarian and author who brings Oakland history to her writing. Dorothy Lazard talks about her childhood memoir. Then, it's a challenging time to to envision Trans futures- but folks are pushing forward. And, back in The Town: an Oakland-grown singer-songwriter returns to her roots. It's a homecoming! Dorothy Lazard, retired Oakland Librarian, talks about memoir at Books Inc. Bay Agenda: Envisioning Trans Futures Singer-songwriter, Satya, speaks with KALW DJ Wonway Posibul at 25th street studios

Welcome to the world of Ram Gopal Varma. In every episode of my series Ramuism, I discuss existing traditions, topics, and universally accepted facts. Today, I discuss the 'Satya Movie' and how to interpret it. Hosted on Acast. See acast.com/privacy for more information.

In this episode of Unicorn Bakery, Hunter Walk, co-founder of Homebrew, joins Fabian Tausch for an in-depth conversation about his journey from product management at Google and YouTube to building one of the most respected early-stage venture capital firms in Silicon Valley. Hunter shares the story behind Homebrew's evolution, why he and his co-founder Satya Patel decided to rethink the traditional VC model after nearly a decade, and how they now operate as a self-funded evergreen fund.What You'll Learn in This Episode:The Transition from Builder to Investor:Why Hunter left YouTube and Google after a decade to explore what truly mattered to him in his career.How Hunter and Satya Patel created Homebrew out of a shared desire to work together and support founders authentically.The Philosophy Behind Homebrew:Why Homebrew recently transitioned into a self-funded evergreen model after a decade of operating traditional VC funds.How this shift allows Hunter and Satya to focus on what they love: helping founders succeed without the constraints of managing external LP capital.How to Evaluate Investors as a Founder:The importance of speaking to other portfolio founders to understand how investors behave in both good and tough times.Why do the best investors focus on backing founders, not just companies, and how do you identify those who align with your needs?Key Traits for Long-Term Success:Why joy and purpose are critical for sustainable professional success.How to avoid being trapped in "good enough" situations and make bold career decisions that align with your values and ambitions.ALL ABOUT UNICORN BAKERY:https://zez.am/unicornbakery Where to find Hunter:LinkedIn: https://www.linkedin.com/in/hunterwalk/ Website: https://homebrew.co/ Join our Founder Tactics Newsletter:2x die Woche bekommst du die Taktiken der besten Gründer der Welt direkt ins Postfach:https://www.tactics.unicornbakery.de/ Chapter:(00:00:00) Why did Hunter decide on the identity-change?(00:08:50) How to make bigger decisions(00:14:24) Hunter's advice for potential founders(00:20:15) The hardest part about building a venture firm(00:24:14) Hunter's advice on finding an excellent investor(00:27:51) Longterm-Building vs. Short-term-Building: Not to be the loudest(00:32:47) "The Homebrew 2.0"(00:37:07) The journey to more self-fulfillment(00:40:50) What would set me apart from the mediocre when building a venture?(00:46:50) On top of the world and NOT crazy: What are the characteristics of these people? Hosted on Acast. See acast.com/privacy for more information.

This self-reflection meditation offers a gentle yet powerful space to explore your relationship with Satya (truthfulness), as taught in the Yoga Sutras. Through guided introspection, you'll examine your thoughts, words, and actions, identifying areas where you may be compromising your own truth. This practice encourages self-compassion and understanding, allowing you to approach your self-inquiry with honesty and kindness, rather than judgment. YOUR MEDITATION JOURNEY DURING THIS WEEK'S SERIES This is episode 7 of a 7-day meditation series titled, "Exploring Satya in the Yoga Sutras" episodes 2103-2109.  THIS WEEK'S CHALLENGE: Go on a Truth Quest Seek out what truth means to you. Pause and allow your truth to reveal itself. THIS WEEK'S MEDITATION TECHNIQUES:   Day 1:  Aligning with your inner truth Day 2:  Affirmation, "I listen to my inner truth." Day 3:  Unlocking Peace Breath Day 4:  Ushas mudra for mental clarity Day 5:  5th chakra for inner peace Day 6:  Layer Meditation Techniques Day 7:  Reflection + Introspection   SHARE YOUR MEDITATION JOURNEY WITH YOUR FELLOW MEDITATORS   Let's connect and inspire each other! Please share a little about how meditation has helped you by reaching out to me at Mary@SipandOm.com or better yet -- direct message me at https://www.instagram.com/sip.and.om. We'd love to hear about your meditation ritual!  SUBSCRIBE, LEAVE A REVIEW + TAKE OUR SURVEY SUBSCRIBE so you don't miss a single episode. Consistency is the KEY to a successful meditation ritual. SHARE the podcast with someone who could use a little extra support. I'd be honored if you left me a podcast review. If you do, please email me at Mary@sipandom.com and let me know a little about yourself and how meditation has helped you. I'd love to share your journey to inspire fellow meditators on the podcast! SURVEY: Help us get to know more about how best to serve you by taking our demographics survey: https://survey.libsyn.com/thedailymeditationpodcast FOR DAILY EXTRA SUPPORT OUTSIDE THE PODCAST Each day's meditation techniques posted at: sip.and.om Instagram https://www.instagram.com/sip.and.om/ sip and om Facebook https://www.facebook.com/SipandOm/ A DIFFERENT MEDITATION TECHNIQUE EVERY DAY FOCUSED ON A WEEKLY THEME: Get ready for an exciting journey with a new meditation technique daily, perfectly tailored to the week's theme! Infuse these powerful practices into the most stressful moments of your day to master difficult emotions. These dynamic techniques will help you tame the "monkey mind," keeping your thoughts from interrupting your meditation and bringing peace and focus to your life. FREE TOOLS: For free meditation tools to help you meditate please head over to my website at www.SipandOm.com, and there you'll find free resources to help you on your Meditation Journey. Enjoy access to more than 3,000 guided meditations without ads on the Sip and Om app. Try it for 7 days of free access to the full app! Listen on iTunes for 1-Week Free! https://itunes.apple.com/us/app/sip-and-om/id1216664612?platform=iphone&preserveScrollPosition=true#platform/iphone   1-week Free Access to the Android app! https://play.google.com/store/apps/details?id=com.sipandom.sipandom   ***All meditations are Mary Meckley's original copyrighted content unless otherwise stated, and may not be shared without her written permission.   RESOURCES Music composed by Christopher Lloyd Clark licensed by RoyaltyFreeMusic.com, and also by musician Greg Keller.   I'D LOVE TO HEAR FROM YOU I'd love your feedback! Please let me know how you're enjoying the meditations by leaving me a review on iTunes.   **All of the information shared on this podcast is for your enjoyment only. Please don't consider the meditation techniques, herbal tea information, or other information shared by Mary Meckley or any of her guests as a replacement for any medical or psychological treatment. That being said, please enjoy any peace, energy, or clarity you may experience as you meditate.

This layered meditation weaves together several powerful techniques to deepen your understanding and embodiment of Satya (truthfulness), as taught in the Yoga Sutras. We'll begin with breathwork to center and ground ourselves, followed by a guided reflection on key aspects of Satya, such as honesty in thought, word, and deed. We'll then incorporate visualization to connect with the energy of truth, culminating in a loving-kindness meditation to extend compassion to ourselves and others, fostering a holistic experience of authentic living. YOUR MEDITATION JOURNEY DURING THIS WEEK'S SERIES This is episode 6 of a 7-day meditation series titled, "Exploring Satya in the Yoga Sutras" episodes 2103-2109.  THIS WEEK'S CHALLENGE: Go on a Truth Quest Seek out what truth means to you. Pause and allow your truth to reveal itself. THIS WEEK'S MEDITATION TECHNIQUES:   Day 1:  Aligning with your inner truth Day 2:  Affirmation, "I listen to my inner truth." Day 3:  Unlocking Peace Breath Day 4:  Ushas mudra for mental clarity Day 5:  5th chakra for inner peace Day 6:  Layer Meditation Techniques Day 7:  Reflection + Introspection   SHARE YOUR MEDITATION JOURNEY WITH YOUR FELLOW MEDITATORS   Let's connect and inspire each other! Please share a little about how meditation has helped you by reaching out to me at Mary@SipandOm.com or better yet -- direct message me at https://www.instagram.com/sip.and.om. We'd love to hear about your meditation ritual!  SUBSCRIBE, LEAVE A REVIEW + TAKE OUR SURVEY SUBSCRIBE so you don't miss a single episode. Consistency is the KEY to a successful meditation ritual. SHARE the podcast with someone who could use a little extra support. I'd be honored if you left me a podcast review. If you do, please email me at Mary@sipandom.com and let me know a little about yourself and how meditation has helped you. I'd love to share your journey to inspire fellow meditators on the podcast! SURVEY: Help us get to know more about how best to serve you by taking our demographics survey: https://survey.libsyn.com/thedailymeditationpodcast FOR DAILY EXTRA SUPPORT OUTSIDE THE PODCAST Each day's meditation techniques posted at: sip.and.om Instagram https://www.instagram.com/sip.and.om/ sip and om Facebook https://www.facebook.com/SipandOm/ A DIFFERENT MEDITATION TECHNIQUE EVERY DAY FOCUSED ON A WEEKLY THEME: Get ready for an exciting journey with a new meditation technique daily, perfectly tailored to the week's theme! Infuse these powerful practices into the most stressful moments of your day to master difficult emotions. These dynamic techniques will help you tame the "monkey mind," keeping your thoughts from interrupting your meditation and bringing peace and focus to your life. FREE TOOLS: For free meditation tools to help you meditate please head over to my website at www.SipandOm.com, and there you'll find free resources to help you on your Meditation Journey. Enjoy access to more than 3,000 guided meditations without ads on the Sip and Om app. Try it for 7 days of free access to the full app! Listen on iTunes for 1-Week Free! https://itunes.apple.com/us/app/sip-and-om/id1216664612?platform=iphone&preserveScrollPosition=true#platform/iphone   1-week Free Access to the Android app! https://play.google.com/store/apps/details?id=com.sipandom.sipandom   ***All meditations are Mary Meckley's original copyrighted content unless otherwise stated, and may not be shared without her written permission.   RESOURCES Music composed by Christopher Lloyd Clark licensed by RoyaltyFreeMusic.com, and also by musician Greg Keller.   I'D LOVE TO HEAR FROM YOU I'd love your feedback! Please let me know how you're enjoying the meditations by leaving me a review on iTunes.   **All of the information shared on this podcast is for your enjoyment only. Please don't consider the meditation techniques, herbal tea information, or other information shared by Mary Meckley or any of her guests as a replacement for any medical or psychological treatment. That being said, please enjoy any peace, energy, or clarity you may experience as you meditate.

Blocked energy in the throat chakra can manifest as difficulty expressing ourselves truthfully. This meditation uses a powerful 5th chakra technique [mention the technique] to clear these blockages, allowing the energy of Satya to flow freely. Inspired by the Yoga Sutras' teachings on truthfulness, this practice will help you release any fear or inhibition that prevents you from speaking your truth with authenticity. YOUR MEDITATION JOURNEY DURING THIS WEEK'S SERIES This is episode 5 of a 7-day meditation series titled, "Exploring Satya in the Yoga Sutras" episodes 2103-2109.  THIS WEEK'S CHALLENGE: Go on a Truth Quest Seek out what truth means to you. Pause and allow your truth to reveal itself. THIS WEEK'S MEDITATION TECHNIQUES:   Day 1:  Aligning with your inner truth Day 2:  Affirmation, "I listen to my inner truth." Day 3:  Unlocking Peace Breath Day 4:  Ushas mudra for mental clarity Day 5:  5th chakra for inner peace Day 6:  Layer Meditation Techniques Day 7:  Reflection + Introspection   SHARE YOUR MEDITATION JOURNEY WITH YOUR FELLOW MEDITATORS   Let's connect and inspire each other! Please share a little about how meditation has helped you by reaching out to me at Mary@SipandOm.com or better yet -- direct message me at https://www.instagram.com/sip.and.om. We'd love to hear about your meditation ritual!  SUBSCRIBE, LEAVE A REVIEW + TAKE OUR SURVEY SUBSCRIBE so you don't miss a single episode. Consistency is the KEY to a successful meditation ritual. SHARE the podcast with someone who could use a little extra support. I'd be honored if you left me a podcast review. If you do, please email me at Mary@sipandom.com and let me know a little about yourself and how meditation has helped you. I'd love to share your journey to inspire fellow meditators on the podcast! SURVEY: Help us get to know more about how best to serve you by taking our demographics survey: https://survey.libsyn.com/thedailymeditationpodcast FOR DAILY EXTRA SUPPORT OUTSIDE THE PODCAST Each day's meditation techniques posted at: sip.and.om Instagram https://www.instagram.com/sip.and.om/ sip and om Facebook https://www.facebook.com/SipandOm/ A DIFFERENT MEDITATION TECHNIQUE EVERY DAY FOCUSED ON A WEEKLY THEME: Get ready for an exciting journey with a new meditation technique daily, perfectly tailored to the week's theme! Infuse these powerful practices into the most stressful moments of your day to master difficult emotions. These dynamic techniques will help you tame the "monkey mind," keeping your thoughts from interrupting your meditation and bringing peace and focus to your life. FREE TOOLS: For free meditation tools to help you meditate please head over to my website at www.SipandOm.com, and there you'll find free resources to help you on your Meditation Journey. Enjoy access to more than 3,000 guided meditations without ads on the Sip and Om app. Try it for 7 days of free access to the full app! Listen on iTunes for 1-Week Free! https://itunes.apple.com/us/app/sip-and-om/id1216664612?platform=iphone&preserveScrollPosition=true#platform/iphone   1-week Free Access to the Android app! https://play.google.com/store/apps/details?id=com.sipandom.sipandom   ***All meditations are Mary Meckley's original copyrighted content unless otherwise stated, and may not be shared without her written permission.   RESOURCES Music composed by Christopher Lloyd Clark licensed by RoyaltyFreeMusic.com, and also by musician Greg Keller.   I'D LOVE TO HEAR FROM YOU I'd love your feedback! Please let me know how you're enjoying the meditations by leaving me a review on iTunes.   **All of the information shared on this podcast is for your enjoyment only. Please don't consider the meditation techniques, herbal tea information, or other information shared by Mary Meckley or any of her guests as a replacement for any medical or psychological treatment. That being said, please enjoy any peace, energy, or clarity you may experience as you meditate.

Self-deception can keep us trapped in cycles of untruth. This meditation uses Usha Mudra to gently illuminate these blind spots, allowing us to see ourselves with greater clarity and compassion. By connecting with the energy of new beginnings, we can break free from self-deception and embrace the path of Satya. YOUR MEDITATION JOURNEY DURING THIS WEEK'S SERIES This is episode 4 of a 7-day meditation series titled, "Exploring Satya in the Yoga Sutras" episodes 2103-2109.  THIS WEEK'S CHALLENGE: Go on a Truth Quest Seek out what truth means to you. Pause and allow your truth to reveal itself. THIS WEEK'S MEDITATION TECHNIQUES:   Day 1:  Aligning with your inner truth Day 2:  Affirmation, "I listen to my inner truth." Day 3:  Unlocking Peace Breath Day 4:  Ushas mudra for mental clarity Day 5:  5th chakra for inner peace Day 6:  Layer Meditation Techniques Day 7:  Reflection + Introspection   SHARE YOUR MEDITATION JOURNEY WITH YOUR FELLOW MEDITATORS   Let's connect and inspire each other! Please share a little about how meditation has helped you by reaching out to me at Mary@SipandOm.com or better yet -- direct message me at https://www.instagram.com/sip.and.om. We'd love to hear about your meditation ritual!  SUBSCRIBE, LEAVE A REVIEW + TAKE OUR SURVEY SUBSCRIBE so you don't miss a single episode. Consistency is the KEY to a successful meditation ritual. SHARE the podcast with someone who could use a little extra support. I'd be honored if you left me a podcast review. If you do, please email me at Mary@sipandom.com and let me know a little about yourself and how meditation has helped you. I'd love to share your journey to inspire fellow meditators on the podcast! SURVEY: Help us get to know more about how best to serve you by taking our demographics survey: https://survey.libsyn.com/thedailymeditationpodcast FOR DAILY EXTRA SUPPORT OUTSIDE THE PODCAST Each day's meditation techniques posted at: sip.and.om Instagram https://www.instagram.com/sip.and.om/ sip and om Facebook https://www.facebook.com/SipandOm/ A DIFFERENT MEDITATION TECHNIQUE EVERY DAY FOCUSED ON A WEEKLY THEME: Get ready for an exciting journey with a new meditation technique daily, perfectly tailored to the week's theme! Infuse these powerful practices into the most stressful moments of your day to master difficult emotions. These dynamic techniques will help you tame the "monkey mind," keeping your thoughts from interrupting your meditation and bringing peace and focus to your life. FREE TOOLS: For free meditation tools to help you meditate please head over to my website at www.SipandOm.com, and there you'll find free resources to help you on your Meditation Journey. Enjoy access to more than 3,000 guided meditations without ads on the Sip and Om app. Try it for 7 days of free access to the full app! Listen on iTunes for 1-Week Free! https://itunes.apple.com/us/app/sip-and-om/id1216664612?platform=iphone&preserveScrollPosition=true#platform/iphone   1-week Free Access to the Android app! https://play.google.com/store/apps/details?id=com.sipandom.sipandom   ***All meditations are Mary Meckley's original copyrighted content unless otherwise stated, and may not be shared without her written permission.   RESOURCES Music composed by Christopher Lloyd Clark licensed by RoyaltyFreeMusic.com, and also by musician Greg Keller.   I'D LOVE TO HEAR FROM YOU I'd love your feedback! Please let me know how you're enjoying the meditations by leaving me a review on iTunes.   **All of the information shared on this podcast is for your enjoyment only. Please don't consider the meditation techniques, herbal tea information, or other information shared by Mary Meckley or any of her guests as a replacement for any medical or psychological treatment. That being said, please enjoy any peace, energy, or clarity you may experience as you meditate.

Your breath is a constant companion, a mirror reflecting your inner state. This meditation uses the breath as a tool for self-inquiry, guiding you to explore your relationship with truthfulness. By paying close attention to the nuances of your breath during today's specific technique, you'll gain insights into the subtle ways you may be compromising your truth and discover the courage to live with greater authenticity. YOUR MEDITATION JOURNEY DURING THIS WEEK'S SERIES This is episode 3 of a 7-day meditation series titled, "Exploring Satya in the Yoga Sutras" episodes 2103-2109.  THIS WEEK'S CHALLENGE: Go on a Truth Quest Seek out what truth means to you. Pause and allow your truth to reveal itself. THIS WEEK'S MEDITATION TECHNIQUES:   Day 1:  Aligning with your inner truth Day 2:  Affirmation, "I listen to my inner truth." Day 3:  Unlocking Peace Breath Day 4:  Ushas mudra for mental clarity Day 5:  5th chakra for inner peace Day 6:  Layer Meditation Techniques Day 7:  Reflection + Introspection   SHARE YOUR MEDITATION JOURNEY WITH YOUR FELLOW MEDITATORS   Let's connect and inspire each other! Please share a little about how meditation has helped you by reaching out to me at Mary@SipandOm.com or better yet -- direct message me at https://www.instagram.com/sip.and.om. We'd love to hear about your meditation ritual!  SUBSCRIBE, LEAVE A REVIEW + TAKE OUR SURVEY SUBSCRIBE so you don't miss a single episode. Consistency is the KEY to a successful meditation ritual. SHARE the podcast with someone who could use a little extra support. I'd be honored if you left me a podcast review. If you do, please email me at Mary@sipandom.com and let me know a little about yourself and how meditation has helped you. I'd love to share your journey to inspire fellow meditators on the podcast! SURVEY: Help us get to know more about how best to serve you by taking our demographics survey: https://survey.libsyn.com/thedailymeditationpodcast FOR DAILY EXTRA SUPPORT OUTSIDE THE PODCAST Each day's meditation techniques posted at: sip.and.om Instagram https://www.instagram.com/sip.and.om/ sip and om Facebook https://www.facebook.com/SipandOm/ A DIFFERENT MEDITATION TECHNIQUE EVERY DAY FOCUSED ON A WEEKLY THEME: Get ready for an exciting journey with a new meditation technique daily, perfectly tailored to the week's theme! Infuse these powerful practices into the most stressful moments of your day to master difficult emotions. These dynamic techniques will help you tame the "monkey mind," keeping your thoughts from interrupting your meditation and bringing peace and focus to your life. FREE TOOLS: For free meditation tools to help you meditate please head over to my website at www.SipandOm.com, and there you'll find free resources to help you on your Meditation Journey. Enjoy access to more than 3,000 guided meditations without ads on the Sip and Om app. Try it for 7 days of free access to the full app! Listen on iTunes for 1-Week Free! https://itunes.apple.com/us/app/sip-and-om/id1216664612?platform=iphone&preserveScrollPosition=true#platform/iphone   1-week Free Access to the Android app! https://play.google.com/store/apps/details?id=com.sipandom.sipandom   ***All meditations are Mary Meckley's original copyrighted content unless otherwise stated, and may not be shared without her written permission.   RESOURCES Music composed by Christopher Lloyd Clark licensed by RoyaltyFreeMusic.com, and also by musician Greg Keller.   I'D LOVE TO HEAR FROM YOU I'd love your feedback! Please let me know how you're enjoying the meditations by leaving me a review on iTunes.   **All of the information shared on this podcast is for your enjoyment only. Please don't consider the meditation techniques, herbal tea information, or other information shared by Mary Meckley or any of her guests as a replacement for any medical or psychological treatment. That being said, please enjoy any peace, energy, or clarity you may experience as you meditate.

If you're in SF, join us tomorrow for a fun meetup at CodeGen Night!If you're in NYC, join us for AI Engineer Summit! The Agent Engineering track is now sold out, but 25 tickets remain for AI Leadership and 5 tickets for the workshops. You can see the full schedule of speakers and workshops at https://ai.engineer!It's exceedingly hard to introduce someone like Bret Taylor. We could recite his Wikipedia page, or his extensive work history through Silicon Valley's greatest companies, but everyone else already does that.As a podcast by AI engineers for AI engineers, we had the opportunity to do something a little different. We wanted to dig into what Bret sees from his vantage point at the top of our industry for the last 2 decades, and how that explains the rise of the AI Architect at Sierra, the leading conversational AI/CX platform.“Across our customer base, we are seeing a new role emerge - the role of the AI architect. These leaders are responsible for helping define, manage and evolve their company's AI agent over time. They come from a variety of both technical and business backgrounds, and we think that every company will have one or many AI architects managing their AI agent and related experience.”In our conversation, Bret Taylor confirms the Paul Buchheit legend that he rewrote Google Maps in a weekend, armed with only the help of a then-nascent Google Closure Compiler and no other modern tooling. But what we find remarkable is that he was the PM of Maps, not an engineer, though of course he still identifies as one. We find this theme recurring throughout Bret's career and worldview. We think it is plain as day that AI leadership will have to be hands-on and technical, especially when the ground is shifting as quickly as it is today:“There's a lot of power in combining product and engineering into as few people as possible… few great things have been created by committee.”“If engineering is an order taking organization for product you can sometimes make meaningful things, but rarely will you create extremely well crafted breakthrough products. Those tend to be small teams who deeply understand the customer need that they're solving, who have a maniacal focus on outcomes.”“And I think the reason why is if you look at like software as a service five years ago, maybe you can have a separation of product and engineering because most software as a service created five years ago. I wouldn't say there's like a lot of technological breakthroughs required for most business applications. And if you're making expense reporting software or whatever, it's useful… You kind of know how databases work, how to build auto scaling with your AWS cluster, whatever, you know, it's just, you're just applying best practices to yet another problem. "When you have areas like the early days of mobile development or the early days of interactive web applications, which I think Google Maps and Gmail represent, or now AI agents, you're in this constant conversation with what the requirements of your customers and stakeholders are and all the different people interacting with it and the capabilities of the technology. And it's almost impossible to specify the requirements of a product when you're not sure of the limitations of the technology itself.”This is the first time the difference between technical leadership for “normal” software and for “AI” software was articulated this clearly for us, and we'll be thinking a lot about this going forward. We left a lot of nuggets in the conversation, so we hope you'll just dive in with us (and thank Bret for joining the pod!)Timestamps* 00:00:02 Introductions and Bret Taylor's background* 00:01:23 Bret's experience at Stanford and the dot-com era* 00:04:04 The story of rewriting Google Maps backend* 00:11:06 Early days of interactive web applications at Google* 00:15:26 Discussion on product management and engineering roles* 00:21:00 AI and the future of software development* 00:26:42 Bret's approach to identifying customer needs and building AI companies* 00:32:09 The evolution of business models in the AI era* 00:41:00 The future of programming languages and software development* 00:49:38 Challenges in precisely communicating human intent to machines* 00:56:44 Discussion on Artificial General Intelligence (AGI) and its impact* 01:08:51 The future of agent-to-agent communication* 01:14:03 Bret's involvement in the OpenAI leadership crisis* 01:22:11 OpenAI's relationship with Microsoft* 01:23:23 OpenAI's mission and priorities* 01:27:40 Bret's guiding principles for career choices* 01:29:12 Brief discussion on pasta-making* 01:30:47 How Bret keeps up with AI developments* 01:32:15 Exciting research directions in AI* 01:35:19 Closing remarks and hiring at Sierra Transcript[00:02:05] Introduction and Guest Welcome[00:02:05] Alessio: Hey everyone, welcome to the Latent Space Podcast. This is Alessio, partner and CTO at Decibel Partners, and I'm joined by my co host swyx, founder of smol.ai.[00:02:17] swyx: Hey, and today we're super excited to have Bret Taylor join us. Welcome. Thanks for having me. It's a little unreal to have you in the studio.[00:02:25] swyx: I've read about you so much over the years, like even before. Open AI effectively. I mean, I use Google Maps to get here. So like, thank you for everything that you've done. Like, like your story history, like, you know, I think people can find out what your greatest hits have been.[00:02:40] Bret Taylor's Early Career and Education[00:02:40] swyx: How do you usually like to introduce yourself when, you know, you talk about, you summarize your career, like, how do you look at yourself?[00:02:47] Bret: Yeah, it's a great question. You know, we, before we went on the mics here, we're talking about the audience for this podcast being more engineering. And I do think depending on the audience, I'll introduce myself differently because I've had a lot of [00:03:00] corporate and board roles. I probably self identify as an engineer more than anything else though.[00:03:04] Bret: So even when I was. Salesforce, I was coding on the weekends. So I think of myself as an engineer and then all the roles that I do in my career sort of start with that just because I do feel like engineering is sort of a mindset and how I approach most of my life. So I'm an engineer first and that's how I describe myself.[00:03:24] Bret: You majored in computer[00:03:25] swyx: science, like 1998. And, and I was high[00:03:28] Bret: school, actually my, my college degree was Oh, two undergrad. Oh, three masters. Right. That old.[00:03:33] swyx: Yeah. I mean, no, I was going, I was going like 1998 to 2003, but like engineering wasn't as, wasn't a thing back then. Like we didn't have the title of senior engineer, you know, kind of like, it was just.[00:03:44] swyx: You were a programmer, you were a developer, maybe. What was it like in Stanford? Like, what was that feeling like? You know, was it, were you feeling like on the cusp of a great computer revolution? Or was it just like a niche, you know, interest at the time?[00:03:57] Stanford and the Dot-Com Bubble[00:03:57] Bret: Well, I was at Stanford, as you said, from 1998 to [00:04:00] 2002.[00:04:02] Bret: 1998 was near the peak of the dot com bubble. So. This is back in the day where most people that they're coding in the computer lab, just because there was these sun microsystems, Unix boxes there that most of us had to do our assignments on. And every single day there was a. com like buying pizza for everybody.[00:04:20] Bret: I didn't have to like, I got. Free food, like my first two years of university and then the dot com bubble burst in the middle of my college career. And so by the end there was like tumbleweed going to the job fair, you know, it was like, cause it was hard to describe unless you were there at the time, the like level of hype and being a computer science major at Stanford was like, A thousand opportunities.[00:04:45] Bret: And then, and then when I left, it was like Microsoft, IBM.[00:04:49] Joining Google and Early Projects[00:04:49] Bret: And then the two startups that I applied to were VMware and Google. And I ended up going to Google in large part because a woman named Marissa Meyer, who had been a teaching [00:05:00] assistant when I was, what was called a section leader, which was like a junior teaching assistant kind of for one of the big interest.[00:05:05] Bret: Yes. Classes. She had gone there. And she was recruiting me and I knew her and it was sort of felt safe, you know, like, I don't know. I thought about it much, but it turned out to be a real blessing. I realized like, you know, you always want to think you'd pick Google if given the option, but no one knew at the time.[00:05:20] Bret: And I wonder if I'd graduated in like 1999 where I've been like, mom, I just got a job at pets. com. It's good. But you know, at the end I just didn't have any options. So I was like, do I want to go like make kernel software at VMware? Do I want to go build search at Google? And I chose Google. 50, 50 ball.[00:05:36] Bret: I'm not really a 50, 50 ball. So I feel very fortunate in retrospect that the economy collapsed because in some ways it forced me into like one of the greatest companies of all time, but I kind of lucked into it, I think.[00:05:47] The Google Maps Rewrite Story[00:05:47] Alessio: So the famous story about Google is that you rewrote the Google maps back in, in one week after the map quest quest maps acquisition, what was the story there?[00:05:57] Alessio: Is it. Actually true. Is it [00:06:00] being glorified? Like how, how did that come to be? And is there any detail that maybe Paul hasn't shared before?[00:06:06] Bret: It's largely true, but I'll give the color commentary. So it was actually the front end, not the back end, but it turns out for Google maps, the front end was sort of the hard part just because Google maps was.[00:06:17] Bret: Largely the first ish kind of really interactive web application, say first ish. I think Gmail certainly was though Gmail, probably a lot of people then who weren't engineers probably didn't appreciate its level of interactivity. It was just fast, but. Google maps, because you could drag the map and it was sort of graphical.[00:06:38] Bret: My, it really in the mainstream, I think, was it a map[00:06:41] swyx: quest back then that was, you had the arrows up and down, it[00:06:44] Bret: was up and down arrows. Each map was a single image and you just click left and then wait for a few seconds to the new map to let it was really small too, because generating a big image was kind of expensive on computers that day.[00:06:57] Bret: So Google maps was truly innovative in that [00:07:00] regard. The story on it. There was a small company called where two technologies started by two Danish brothers, Lars and Jens Rasmussen, who are two of my closest friends now. They had made a windows app called expedition, which had beautiful maps. Even in 2000.[00:07:18] Bret: For whenever we acquired or sort of acquired their company, Windows software was not particularly fashionable, but they were really passionate about mapping and we had made a local search product that was kind of middling in terms of popularity, sort of like a yellow page of search product. So we wanted to really go into mapping.[00:07:36] Bret: We'd started working on it. Their small team seemed passionate about it. So we're like, come join us. We can build this together.[00:07:42] Technical Challenges and Innovations[00:07:42] Bret: It turned out to be a great blessing that they had built a windows app because you're less technically constrained when you're doing native code than you are building a web browser, particularly back then when there weren't really interactive web apps and it ended up.[00:07:56] Bret: Changing the level of quality that we [00:08:00] wanted to hit with the app because we were shooting for something that felt like a native windows application. So it was a really good fortune that we sort of, you know, their unusual technical choices turned out to be the greatest blessing. So we spent a lot of time basically saying, how can you make a interactive draggable map in a web browser?[00:08:18] Bret: How do you progressively load, you know, new map tiles, you know, as you're dragging even things like down in the weeds of the browser at the time, most browsers like Internet Explorer, which was dominant at the time would only load two images at a time from the same domain. So we ended up making our map tile servers have like.[00:08:37] Bret: Forty different subdomains so we could load maps and parallels like lots of hacks. I'm happy to go into as much as like[00:08:44] swyx: HTTP connections and stuff.[00:08:46] Bret: They just like, there was just maximum parallelism of two. And so if you had a map, set of map tiles, like eight of them, so So we just, we were down in the weeds of the browser anyway.[00:08:56] Bret: So it was lots of plumbing. I can, I know a lot more about browsers than [00:09:00] most people, but then by the end of it, it was fairly, it was a lot of duct tape on that code. If you've ever done an engineering project where you're not really sure the path from point A to point B, it's almost like. Building a house by building one room at a time.[00:09:14] Bret: The, there's not a lot of architectural cohesion at the end. And then we acquired a company called Keyhole, which became Google earth, which was like that three, it was a native windows app as well, separate app, great app, but with that, we got licenses to all this satellite imagery. And so in August of 2005, we added.[00:09:33] Bret: Satellite imagery to Google Maps, which added even more complexity in the code base. And then we decided we wanted to support Safari. There was no mobile phones yet. So Safari was this like nascent browser on, on the Mac. And it turns out there's like a lot of decisions behind the scenes, sort of inspired by this windows app, like heavy use of XML and XSLT and all these like.[00:09:54] Bret: Technologies that were like briefly fashionable in the early two thousands and everyone hates now for good [00:10:00] reason. And it turns out that all of the XML functionality and Internet Explorer wasn't supporting Safari. So people are like re implementing like XML parsers. And it was just like this like pile of s**t.[00:10:11] Bret: And I had to say a s**t on your part. Yeah, of[00:10:12] Alessio: course.[00:10:13] Bret: So. It went from this like beautifully elegant application that everyone was proud of to something that probably had hundreds of K of JavaScript, which sounds like nothing. Now we're talking like people have modems, you know, not all modems, but it was a big deal.[00:10:29] Bret: So it was like slow. It took a while to load and just, it wasn't like a great code base. Like everything was fragile. So I just got. Super frustrated by it. And then one weekend I did rewrite all of it. And at the time the word JSON hadn't been coined yet too, just to give you a sense. So it's all XML.[00:10:47] swyx: Yeah.[00:10:47] Bret: So we used what is now you would call JSON, but I just said like, let's use eval so that we can parse the data fast. And, and again, that's, it would literally as JSON, but at the time there was no name for it. So we [00:11:00] just said, let's. Pass on JavaScript from the server and eval it. And then somebody just refactored the whole thing.[00:11:05] Bret: And, and it wasn't like I was some genius. It was just like, you know, if you knew everything you wished you had known at the beginning and I knew all the functionality, cause I was the primary, one of the primary authors of the JavaScript. And I just like, I just drank a lot of coffee and just stayed up all weekend.[00:11:22] Bret: And then I, I guess I developed a bit of reputation and no one knew about this for a long time. And then Paul who created Gmail and I ended up starting a company with him too, after all of this told this on a podcast and now it's large, but it's largely true. I did rewrite it and it, my proudest thing.[00:11:38] Bret: And I think JavaScript people appreciate this. Like the un G zipped bundle size for all of Google maps. When I rewrote, it was 20 K G zipped. It was like much smaller for the entire application. It went down by like 10 X. So. What happened on Google? Google is a pretty mainstream company. And so like our usage is shot up because it turns out like it's faster.[00:11:57] Bret: Just being faster is worth a lot of [00:12:00] percentage points of growth at a scale of Google. So how[00:12:03] swyx: much modern tooling did you have? Like test suites no compilers.[00:12:07] Bret: Actually, that's not true. We did it one thing. So I actually think Google, I, you can. Download it. There's a, Google has a closure compiler, a closure compiler.[00:12:15] Bret: I don't know if anyone still uses it. It's gone. Yeah. Yeah. It's sort of gone out of favor. Yeah. Well, even until recently it was better than most JavaScript minifiers because it was more like it did a lot more renaming of variables and things. Most people use ES build now just cause it's fast and closure compilers built on Java and super slow and stuff like that.[00:12:37] Bret: But, so we did have that, that was it. Okay.[00:12:39] The Evolution of Web Applications[00:12:39] Bret: So and that was treated internally, you know, it was a really interesting time at Google at the time because there's a lot of teams working on fairly advanced JavaScript when no one was. So Google suggest, which Kevin Gibbs was the tech lead for, was the first kind of type ahead, autocomplete, I believe in a web browser, and now it's just pervasive in search boxes that you sort of [00:13:00] see a type ahead there.[00:13:01] Bret: I mean, chat, dbt[00:13:01] swyx: just added it. It's kind of like a round trip.[00:13:03] Bret: Totally. No, it's now pervasive as a UI affordance, but that was like Kevin's 20 percent project. And then Gmail, Paul you know, he tells the story better than anyone, but he's like, you know, basically was scratching his own itch, but what was really neat about it is email, because it's such a productivity tool, just needed to be faster.[00:13:21] Bret: So, you know, he was scratching his own itch of just making more stuff work on the client side. And then we, because of Lars and Yen sort of like setting the bar of this windows app or like we need our maps to be draggable. So we ended up. Not only innovate in terms of having a big sync, what would be called a single page application today, but also all the graphical stuff you know, we were crashing Firefox, like it was going out of style because, you know, when you make a document object model with the idea that it's a document and then you layer on some JavaScript and then we're essentially abusing all of this, it just was running into code paths that were not.[00:13:56] Bret: Well, it's rotten, you know, at this time. And so it was [00:14:00] super fun. And, and, you know, in the building you had, so you had compilers, people helping minify JavaScript just practically, but there is a great engineering team. So they were like, that's why Closure Compiler is so good. It was like a. Person who actually knew about programming languages doing it, not just, you know, writing regular expressions.[00:14:17] Bret: And then the team that is now the Chrome team believe, and I, I don't know this for a fact, but I'm pretty sure Google is the main contributor to Firefox for a long time in terms of code. And a lot of browser people were there. So every time we would crash Firefox, we'd like walk up two floors and say like, what the hell is going on here?[00:14:35] Bret: And they would load their browser, like in a debugger. And we could like figure out exactly what was breaking. And you can't change the code, right? Cause it's the browser. It's like slow, right? I mean, slow to update. So, but we could figure out exactly where the bug was and then work around it in our JavaScript.[00:14:52] Bret: So it was just like new territory. Like so super, super fun time, just like a lot of, a lot of great engineers figuring out [00:15:00] new things. And And now, you know, the word, this term is no longer in fashion, but the word Ajax, which was asynchronous JavaScript and XML cause I'm telling you XML, but see the word XML there, to be fair, the way you made HTTP requests from a client to server was this.[00:15:18] Bret: Object called XML HTTP request because Microsoft and making Outlook web access back in the day made this and it turns out to have nothing to do with XML. It's just a way of making HTTP requests because XML was like the fashionable thing. It was like that was the way you, you know, you did it. But the JSON came out of that, you know, and then a lot of the best practices around building JavaScript applications is pre React.[00:15:44] Bret: I think React was probably the big conceptual step forward that we needed. Even my first social network after Google, we used a lot of like HTML injection and. Making real time updates was still very hand coded and it's really neat when you [00:16:00] see conceptual breakthroughs like react because it's, I just love those things where it's like obvious once you see it, but it's so not obvious until you do.[00:16:07] Bret: And actually, well, I'm sure we'll get into AI, but I, I sort of feel like we'll go through that evolution with AI agents as well that I feel like we're missing a lot of the core abstractions that I think in 10 years we'll be like, gosh, how'd you make agents? Before that, you know, but it was kind of that early days of web applications.[00:16:22] swyx: There's a lot of contenders for the reactive jobs of of AI, but no clear winner yet. I would say one thing I was there for, I mean, there's so much we can go into there. You just covered so much.[00:16:32] Product Management and Engineering Synergy[00:16:32] swyx: One thing I just, I just observe is that I think the early Google days had this interesting mix of PM and engineer, which I think you are, you didn't, you didn't wait for PM to tell you these are my, this is my PRD.[00:16:42] swyx: This is my requirements.[00:16:44] mix: Oh,[00:16:44] Bret: okay.[00:16:45] swyx: I wasn't technically a software engineer. I mean,[00:16:48] Bret: by title, obviously. Right, right, right.[00:16:51] swyx: It's like a blend. And I feel like these days, product is its own discipline and its own lore and own industry and engineering is its own thing. And there's this process [00:17:00] that happens and they're kind of separated, but you don't produce as good of a product as if they were the same person.[00:17:06] swyx: And I'm curious, you know, if, if that, if that sort of resonates in, in, in terms of like comparing early Google versus modern startups that you see out there,[00:17:16] Bret: I certainly like wear a lot of hats. So, you know, sort of biased in this, but I really agree that there's a lot of power and combining product design engineering into as few people as possible because, you know few great things have been created by committee, you know, and so.[00:17:33] Bret: If engineering is an order taking organization for product you can sometimes make meaningful things, but rarely will you create extremely well crafted breakthrough products. Those tend to be small teams who deeply understand the customer need that they're solving, who have a. Maniacal focus on outcomes.[00:17:53] Bret: And I think the reason why it's, I think for some areas, if you look at like software as a service five years ago, maybe you can have a [00:18:00] separation of product and engineering because most software as a service created five years ago. I wouldn't say there's like a lot of like. Technological breakthroughs required for most, you know, business applications.[00:18:11] Bret: And if you're making expense reporting software or whatever, it's useful. I don't mean to be dismissive of expense reporting software, but you probably just want to understand like, what are the requirements of the finance department? What are the requirements of an individual file expense report? Okay.[00:18:25] Bret: Go implement that. And you kind of know how web applications are implemented. You kind of know how to. How databases work, how to build auto scaling with your AWS cluster, whatever, you know, it's just, you're just applying best practices to yet another problem when you have areas like the early days of mobile development or the early days of interactive web applications, which I think Google Maps and Gmail represent, or now AI agents, you're in this constant conversation with what the requirements of your customers and stakeholders are and all the different people interacting with it.[00:18:58] Bret: And the capabilities of the [00:19:00] technology. And it's almost impossible to specify the requirements of a product when you're not sure of the limitations of the technology itself. And that's why I use the word conversation. It's not literal. That's sort of funny to use that word in the age of conversational AI.[00:19:15] Bret: You're constantly sort of saying, like, ideally, you could sprinkle some magic AI pixie dust and solve all the world's problems, but it's not the way it works. And it turns out that actually, I'll just give an interesting example.[00:19:26] AI Agents and Modern Tooling[00:19:26] Bret: I think most people listening probably use co pilots to code like Cursor or Devon or Microsoft Copilot or whatever.[00:19:34] Bret: Most of those tools are, they're remarkable. I'm, I couldn't, you know, imagine development without them now, but they're not autonomous yet. Like I wouldn't let it just write most code without my interactively inspecting it. We just are somewhere between it's an amazing co pilot and it's an autonomous software engineer.[00:19:53] Bret: As a product manager, like your aspirations for what the product is are like kind of meaningful. But [00:20:00] if you're a product person, yeah, of course you'd say it should be autonomous. You should click a button and program should come out the other side. The requirements meaningless. Like what matters is like, what is based on the like very nuanced limitations of the technology.[00:20:14] Bret: What is it capable of? And then how do you maximize the leverage? It gives a software engineering team, given those very nuanced trade offs. Coupled with the fact that those nuanced trade offs are changing more rapidly than any technology in my memory, meaning every few months you'll have new models with new capabilities.[00:20:34] Bret: So how do you construct a product that can absorb those new capabilities as rapidly as possible as well? That requires such a combination of technical depth and understanding the customer that you really need more integration. Of product design and engineering. And so I think it's why with these big technology waves, I think startups have a bit of a leg up relative to incumbents because they [00:21:00] tend to be sort of more self actualized in terms of just like bringing those disciplines closer together.[00:21:06] Bret: And in particular, I think entrepreneurs, the proverbial full stack engineers, you know, have a leg up as well because. I think most breakthroughs happen when you have someone who can understand those extremely nuanced technical trade offs, have a vision for a product. And then in the process of building it, have that, as I said, like metaphorical conversation with the technology, right?[00:21:30] Bret: Gosh, I ran into a technical limit that I didn't expect. It's not just like changing that feature. You might need to refactor the whole product based on that. And I think that's, that it's particularly important right now. So I don't, you know, if you, if you're building a big ERP system, probably there's a great reason to have product and engineering.[00:21:51] Bret: I think in general, the disciplines are there for a reason. I think when you're dealing with something as nuanced as the like technologies, like large language models today, there's a ton of [00:22:00] advantage of having. Individuals or organizations that integrate the disciplines more formally.[00:22:05] Alessio: That makes a lot of sense.[00:22:06] Alessio: I've run a lot of engineering teams in the past, and I think the product versus engineering tension has always been more about effort than like whether or not the feature is buildable. But I think, yeah, today you see a lot more of like. Models actually cannot do that. And I think the most interesting thing is on the startup side, people don't yet know where a lot of the AI value is going to accrue.[00:22:26] Alessio: So you have this rush of people building frameworks, building infrastructure, layered things, but we don't really know the shape of the compute. I'm curious that Sierra, like how you thought about building an house, a lot of the tooling for evals or like just, you know, building the agents and all of that.[00:22:41] Alessio: Versus how you see some of the startup opportunities that is maybe still out there.[00:22:46] Bret: We build most of our tooling in house at Sierra, not all. It's, we don't, it's not like not invented here syndrome necessarily, though, maybe slightly guilty of that in some ways, but because we're trying to build a platform [00:23:00] that's in Dorian, you know, we really want to have control over our own destiny.[00:23:03] Bret: And you had made a comment earlier that like. We're still trying to figure out who like the reactive agents are and the jury is still out. I would argue it hasn't been created yet. I don't think the jury is still out to go use that metaphor. We're sort of in the jQuery era of agents, not the react era.[00:23:19] Bret: And, and that's like a throwback for people listening,[00:23:22] swyx: we shouldn't rush it. You know?[00:23:23] Bret: No, yeah, that's my point is. And so. Because we're trying to create an enduring company at Sierra that outlives us, you know, I'm not sure we want to like attach our cart to some like to a horse where it's not clear that like we've figured out and I actually want as a company, we're trying to enable just at a high level and I'll, I'll quickly go back to tech at Sierra, we help consumer brands build customer facing AI agents.[00:23:48] Bret: So. Everyone from Sonos to ADT home security to Sirius XM, you know, if you call them on the phone and AI will pick up with you, you know, chat with them on the Sirius XM homepage. It's an AI agent called Harmony [00:24:00] that they've built on our platform. We're what are the contours of what it means for someone to build an end to end complete customer experience with AI with conversational AI.[00:24:09] Bret: You know, we really want to dive into the deep end of, of all the trade offs to do it. You know, where do you use fine tuning? Where do you string models together? You know, where do you use reasoning? Where do you use generation? How do you use reasoning? How do you express the guardrails of an agentic process?[00:24:25] Bret: How do you impose determinism on a fundamentally non deterministic technology? There's just a lot of really like as an important design space. And I could sit here and tell you, we have the best approach. Every entrepreneur will, you know. But I hope that in two years, we look back at our platform and laugh at how naive we were, because that's the pace of change broadly.[00:24:45] Bret: If you talk about like the startup opportunities, I'm not wholly skeptical of tools companies, but I'm fairly skeptical. There's always an exception for every role, but I believe that certainly there's a big market for [00:25:00] frontier models, but largely for companies with huge CapEx budgets. So. Open AI and Microsoft's Anthropic and Amazon Web Services, Google Cloud XAI, which is very well capitalized now, but I think the, the idea that a company can make money sort of pre training a foundation model is probably not true.[00:25:20] Bret: It's hard to, you're competing with just, you know, unreasonably large CapEx budgets. And I just like the cloud infrastructure market, I think will be largely there. I also really believe in the applications of AI. And I define that not as like building agents or things like that. I define it much more as like, you're actually solving a problem for a business.[00:25:40] Bret: So it's what Harvey is doing in legal profession or what cursor is doing for software engineering or what we're doing for customer experience and customer service. The reason I believe in that is I do think that in the age of AI, what's really interesting about software is it can actually complete a task.[00:25:56] Bret: It can actually do a job, which is very different than the value proposition of [00:26:00] software was to ancient history two years ago. And as a consequence, I think the way you build a solution and For a domain is very different than you would have before, which means that it's not obvious, like the incumbent incumbents have like a leg up, you know, necessarily, they certainly have some advantages, but there's just such a different form factor, you know, for providing a solution and it's just really valuable.[00:26:23] Bret: You know, it's. Like just think of how much money cursor is saving software engineering teams or the alternative, how much revenue it can produce tool making is really challenging. If you look at the cloud market, just as a analog, there are a lot of like interesting tools, companies, you know, Confluent, Monetized Kafka, Snowflake, Hortonworks, you know, there's a, there's a bunch of them.[00:26:48] Bret: A lot of them, you know, have that mix of sort of like like confluence or have the open source or open core or whatever you call it. I, I, I'm not an expert in this area. You know, I do think [00:27:00] that developers are fickle. I think that in the tool space, I probably like. Default towards open source being like the area that will win.[00:27:09] Bret: It's hard to build a company around this and then you end up with companies sort of built around open source to that can work. Don't get me wrong, but I just think that it's nowadays the tools are changing so rapidly that I'm like, not totally skeptical of tool makers, but I just think that open source will broadly win, but I think that the CapEx required for building frontier models is such that it will go to a handful of big companies.[00:27:33] Bret: And then I really believe in agents for specific domains which I think will, it's sort of the analog to software as a service in this new era. You know, it's like, if you just think of the cloud. You can lease a server. It's just a low level primitive, or you can buy an app like you know, Shopify or whatever.[00:27:51] Bret: And most people building a storefront would prefer Shopify over hand rolling their e commerce storefront. I think the same thing will be true of AI. So [00:28:00] I've. I tend to like, if I have a, like an entrepreneur asked me for advice, I'm like, you know, move up the stack as far as you can towards a customer need.[00:28:09] Bret: Broadly, but I, but it doesn't reduce my excitement about what is the reactive building agents kind of thing, just because it is, it is the right question to ask, but I think we'll probably play out probably an open source space more than anything else.[00:28:21] swyx: Yeah, and it's not a priority for you. There's a lot in there.[00:28:24] swyx: I'm kind of curious about your idea maze towards, there are many customer needs. You happen to identify customer experience as yours, but it could equally have been coding assistance or whatever. I think for some, I'm just kind of curious at the top down, how do you look at the world in terms of the potential problem space?[00:28:44] swyx: Because there are many people out there who are very smart and pick the wrong problem.[00:28:47] Bret: Yeah, that's a great question.[00:28:48] Future of Software Development[00:28:48] Bret: By the way, I would love to talk about the future of software, too, because despite the fact it didn't pick coding, I have a lot of that, but I can talk to I can answer your question, though, you know I think when a technology is as [00:29:00] cool as large language models.[00:29:02] Bret: You just see a lot of people starting from the technology and searching for a problem to solve. And I think it's why you see a lot of tools companies, because as a software engineer, you start building an app or a demo and you, you encounter some pain points. You're like,[00:29:17] swyx: a lot of[00:29:17] Bret: people are experiencing the same pain point.[00:29:19] Bret: What if I make it? That it's just very incremental. And you know, I always like to use the metaphor, like you can sell coffee beans, roasted coffee beans. You can add some value. You took coffee beans and you roasted them and roasted coffee beans largely, you know, are priced relative to the cost of the beans.[00:29:39] Bret: Or you can sell a latte and a latte. Is rarely priced directly like as a percentage of coffee bean prices. In fact, if you buy a latte at the airport, it's a captive audience. So it's a really expensive latte. And there's just a lot that goes into like. How much does a latte cost? And I bring it up because there's a supply chain from growing [00:30:00] coffee beans to roasting coffee beans to like, you know, you could make one at home or you could be in the airport and buy one and the margins of the company selling lattes in the airport is a lot higher than the, you know, people roasting the coffee beans and it's because you've actually solved a much more acute human problem in the airport.[00:30:19] Bret: And, and it's just worth a lot more to that person in that moment. It's kind of the way I think about technology too. It sounds funny to liken it to coffee beans, but you're selling tools on top of a large language model yet in some ways your market is big, but you're probably going to like be price compressed just because you're sort of a piece of infrastructure and then you have open source and all these other things competing with you naturally.[00:30:43] Bret: If you go and solve a really big business problem for somebody, that's actually like a meaningful business problem that AI facilitates, they will value it according to the value of that business problem. And so I actually feel like people should just stop. You're like, no, that's, that's [00:31:00] unfair. If you're searching for an idea of people, I, I love people trying things, even if, I mean, most of the, a lot of the greatest ideas have been things no one believed in.[00:31:07] Bret: So I like, if you're passionate about something, go do it. Like who am I to say, yeah, a hundred percent. Or Gmail, like Paul as far, I mean I, some of it's Laura at this point, but like Gmail is Paul's own email for a long time. , and then I amusingly and Paul can't correct me, I'm pretty sure he sent her in a link and like the first comment was like, this is really neat.[00:31:26] Bret: It would be great. It was not your email, but my own . I don't know if it's a true story. I'm pretty sure it's, yeah, I've read that before. So scratch your own niche. Fine. Like it depends on what your goal is. If you wanna do like a venture backed company, if its a. Passion project, f*****g passion, do it like don't listen to anybody.[00:31:41] Bret: In fact, but if you're trying to start, you know an enduring company, solve an important business problem. And I, and I do think that in the world of agents, the software industries has shifted where you're not just helping people more. People be more productive, but you're actually accomplishing tasks autonomously.[00:31:58] Bret: And as a consequence, I think the [00:32:00] addressable market has just greatly expanded just because software can actually do things now and actually accomplish tasks and how much is coding autocomplete worth. A fair amount. How much is the eventual, I'm certain we'll have it, the software agent that actually writes the code and delivers it to you, that's worth a lot.[00:32:20] Bret: And so, you know, I would just maybe look up from the large language models and start thinking about the economy and, you know, think from first principles. I don't wanna get too far afield, but just think about which parts of the economy. We'll benefit most from this intelligence and which parts can absorb it most easily.[00:32:38] Bret: And what would an agent in this space look like? Who's the customer of it is the technology feasible. And I would just start with these business problems more. And I think, you know, the best companies tend to have great engineers who happen to have great insight into a market. And it's that last part that I think some people.[00:32:56] Bret: Whether or not they have, it's like people start so much in the technology, they [00:33:00] lose the forest for the trees a little bit.[00:33:02] Alessio: How do you think about the model of still selling some sort of software versus selling more package labor? I feel like when people are selling the package labor, it's almost more stateless, you know, like it's easier to swap out if you're just putting an input and getting an output.[00:33:16] Alessio: If you think about coding, if there's no ID, you're just putting a prompt and getting back an app. It doesn't really matter. Who generates the app, you know, you have less of a buy in versus the platform you're building, I'm sure on the backend customers have to like put on their documentation and they have, you know, different workflows that they can tie in what's kind of like the line to draw there versus like going full where you're managed customer support team as a service outsource versus.[00:33:40] Alessio: This is the Sierra platform that you can build on. What was that decision? I'll sort of[00:33:44] Bret: like decouple the question in some ways, which is when you have something that's an agent, who is the person using it and what do they want to do with it? So let's just take your coding agent for a second. I will talk about Sierra as well.[00:33:59] Bret: Who's the [00:34:00] customer of a, an agent that actually produces software? Is it a software engineering manager? Is it a software engineer? And it's there, you know, intern so to speak. I don't know. I mean, we'll figure this out over the next few years. Like what is that? And is it generating code that you then review?[00:34:16] Bret: Is it generating code with a set of unit tests that pass, what is the actual. For lack of a better word contract, like, how do you know that it did what you wanted it to do? And then I would say like the product and the pricing, the packaging model sort of emerged from that. And I don't think the world's figured out.[00:34:33] Bret: I think it'll be different for every agent. You know, in our customer base, we do what's called outcome based pricing. So essentially every time the AI agent. Solves the problem or saves a customer or whatever it might be. There's a pre negotiated rate for that. We do that. Cause it's, we think that that's sort of the correct way agents, you know, should be packaged.[00:34:53] Bret: I look back at the history of like cloud software and notably the introduction of the browser, which led to [00:35:00] software being delivered in a browser, like Salesforce to. Famously invented sort of software as a service, which is both a technical delivery model through the browser, but also a business model, which is you subscribe to it rather than pay for a perpetual license.[00:35:13] Bret: Those two things are somewhat orthogonal, but not really. If you think about the idea of software running in a browser, that's hosted. Data center that you don't own, you sort of needed to change the business model because you don't, you can't really buy a perpetual license or something otherwise like, how do you afford making changes to it?[00:35:31] Bret: So it only worked when you were buying like a new version every year or whatever. So to some degree, but then the business model shift actually changed business as we know it, because now like. Things like Adobe Photoshop. Now you subscribe to rather than purchase. So it ended up where you had a technical shift and a business model shift that were very logically intertwined that actually the business model shift was turned out to be as significant as the technical as the shift.[00:35:59] Bret: And I think with [00:36:00] agents, because they actually accomplish a job, I do think that it doesn't make sense to me that you'd pay for the privilege of like. Using the software like that coding agent, like if it writes really bad code, like fire it, you know, I don't know what the right metaphor is like you should pay for a job.[00:36:17] Bret: Well done in my opinion. I mean, that's how you pay your software engineers, right? And[00:36:20] swyx: and well, not really. We paid to put them on salary and give them options and they vest over time. That's fair.[00:36:26] Bret: But my point is that you don't pay them for how many characters they write, which is sort of the token based, you know, whatever, like, There's a, that famous Apple story where we're like asking for a report of how many lines of code you wrote.[00:36:40] Bret: And one of the engineers showed up with like a negative number cause he had just like done a big refactoring. There was like a big F you to management who didn't understand how software is written. You know, my sense is like the traditional usage based or seat based thing. It's just going to look really antiquated.[00:36:55] Bret: Cause it's like asking your software engineer, how many lines of code did you write today? Like who cares? Like, cause [00:37:00] absolutely no correlation. So my old view is I don't think it's be different in every category, but I do think that that is the, if an agent is doing a job, you should, I think it properly incentivizes the maker of that agent and the customer of, of your pain for the job well done.[00:37:16] Bret: It's not always perfect to measure. It's hard to measure engineering productivity, but you can, you should do something other than how many keys you typed, you know Talk about perverse incentives for AI, right? Like I can write really long functions to do the same thing, right? So broadly speaking, you know, I do think that we're going to see a change in business models of software towards outcomes.[00:37:36] Bret: And I think you'll see a change in delivery models too. And, and, you know, in our customer base you know, we empower our customers to really have their hands on the steering wheel of what the agent does they, they want and need that. But the role is different. You know, at a lot of our customers, the customer experience operations folks have renamed themselves the AI architects, which I think is really cool.[00:37:55] Bret: And, you know, it's like in the early days of the Internet, there's the role of the webmaster. [00:38:00] And I don't know whether your webmaster is not a fashionable, you know, Term, nor is it a job anymore? I just, I don't know. Will they, our tech stand the test of time? Maybe, maybe not. But I do think that again, I like, you know, because everyone listening right now is a software engineer.[00:38:14] Bret: Like what is the form factor of a coding agent? And actually I'll, I'll take a breath. Cause actually I have a bunch of pins on them. Like I wrote a blog post right before Christmas, just on the future of software development. And one of the things that's interesting is like, if you look at the way I use cursor today, as an example, it's inside of.[00:38:31] Bret: A repackaged visual studio code environment. I sometimes use the sort of agentic parts of it, but it's largely, you know, I've sort of gotten a good routine of making it auto complete code in the way I want through tuning it properly when it actually can write. I do wonder what like the future of development environments will look like.[00:38:55] Bret: And to your point on what is a software product, I think it's going to change a lot in [00:39:00] ways that will surprise us. But I always use, I use the metaphor in my blog post of, have you all driven around in a way, Mo around here? Yeah, everyone has. And there are these Jaguars, the really nice cars, but it's funny because it still has a steering wheel, even though there's no one sitting there and the steering wheels like turning and stuff clearly in the future.[00:39:16] Bret: If once we get to that, be more ubiquitous, like why have the steering wheel and also why have all the seats facing forward? Maybe just for car sickness. I don't know, but you could totally rearrange the car. I mean, so much of the car is oriented around the driver, so. It stands to reason to me that like, well, autonomous agents for software engineering run through visual studio code.[00:39:37] Bret: That seems a little bit silly because having a single source code file open one at a time is kind of a goofy form factor for when like the code isn't being written primarily by you, but it begs the question of what's your relationship with that agent. And I think the same is true in our industry of customer experience, which is like.[00:39:55] Bret: Who are the people managing this agent? What are the tools do they need? And they definitely need [00:40:00] tools, but it's probably pretty different than the tools we had before. It's certainly different than training a contact center team. And as software engineers, I think that I would like to see particularly like on the passion project side or research side.[00:40:14] Bret: More innovation in programming languages. I think that we're bringing the cost of writing code down to zero. So the fact that we're still writing Python with AI cracks me up just cause it's like literally was designed to be ergonomic to write, not safe to run or fast to run. I would love to see more innovation and how we verify program correctness.[00:40:37] Bret: I studied for formal verification in college a little bit and. It's not very fashionable because it's really like tedious and slow and doesn't work very well. If a lot of code is being written by a machine, you know, one of the primary values we can provide is verifying that it actually does what we intend that it does.[00:40:56] Bret: I think there should be lots of interesting things in the software development life cycle, like how [00:41:00] we think of testing and everything else, because. If you think about if we have to manually read every line of code that's coming out as machines, it will just rate limit how much the machines can do. The alternative is totally unsafe.[00:41:13] Bret: So I wouldn't want to put code in production that didn't go through proper code review and inspection. So my whole view is like, I actually think there's like an AI native I don't think the coding agents don't work well enough to do this yet, but once they do, what is sort of an AI native software development life cycle and how do you actually.[00:41:31] Bret: Enable the creators of software to produce the highest quality, most robust, fastest software and know that it's correct. And I think that's an incredible opportunity. I mean, how much C code can we rewrite and rust and make it safe so that there's fewer security vulnerabilities. Can we like have more efficient, safer code than ever before?[00:41:53] Bret: And can you have someone who's like that guy in the matrix, you know, like staring at the little green things, like where could you have an operator [00:42:00] of a code generating machine be like superhuman? I think that's a cool vision. And I think too many people are focused on like. Autocomplete, you know, right now, I'm not, I'm not even, I'm guilty as charged.[00:42:10] Bret: I guess in some ways, but I just like, I'd like to see some bolder ideas. And that's why when you were joking, you know, talking about what's the react of whatever, I think we're clearly in a local maximum, you know, metaphor, like sort of conceptual local maximum, obviously it's moving really fast. I think we're moving out of it.[00:42:26] Alessio: Yeah. At the end of 23, I've read this blog post from syntax to semantics. Like if you think about Python. It's taking C and making it more semantic and LLMs are like the ultimate semantic program, right? You can just talk to them and they can generate any type of syntax from your language. But again, the languages that they have to use were made for us, not for them.[00:42:46] Alessio: But the problem is like, as long as you will ever need a human to intervene, you cannot change the language under it. You know what I mean? So I'm curious at what point of automation we'll need to get, we're going to be okay making changes. To the underlying languages, [00:43:00] like the programming languages versus just saying, Hey, you just got to write Python because I understand Python and I'm more important at the end of the day than the model.[00:43:08] Alessio: But I think that will change, but I don't know if it's like two years or five years. I think it's more nuanced actually.[00:43:13] Bret: So I think there's a, some of the more interesting programming languages bring semantics into syntax. So let me, that's a little reductive, but like Rust as an example, Rust is memory safe.[00:43:25] Bret: Statically, and that was a really interesting conceptual, but it's why it's hard to write rust. It's why most people write python instead of rust. I think rust programs are safer and faster than python, probably slower to compile. But like broadly speaking, like given the option, if you didn't have to care about the labor that went into it.[00:43:45] Bret: You should prefer a program written in Rust over a program written in Python, just because it will run more efficiently. It's almost certainly safer, et cetera, et cetera, depending on how you define safe, but most people don't write Rust because it's kind of a pain in the ass. And [00:44:00] the audience of people who can is smaller, but it's sort of better in most, most ways.[00:44:05] Bret: And again, let's say you're making a web service and you didn't have to care about how hard it was to write. If you just got the output of the web service, the rest one would be cheaper to operate. It's certainly cheaper and probably more correct just because there's so much in the static analysis implied by the rest programming language that it probably will have fewer runtime errors and things like that as well.[00:44:25] Bret: So I just give that as an example, because so rust, at least my understanding that came out of the Mozilla team, because. There's lots of security vulnerabilities in the browser and it needs to be really fast. They said, okay, we want to put more of a burden at the authorship time to have fewer issues at runtime.[00:44:43] Bret: And we need the constraint that it has to be done statically because browsers need to be really fast. My sense is if you just think about like the, the needs of a programming language today, where the role of a software engineer is [00:45:00] to use an AI to generate functionality and audit that it does in fact work as intended, maybe functionally, maybe from like a correctness standpoint, some combination thereof, how would you create a programming system that facilitated that?[00:45:15] Bret: And, you know, I bring up Rust is because I think it's a good example of like, I think given a choice of writing in C or Rust, you should choose Rust today. I think most people would say that, even C aficionados, just because. C is largely less safe for very similar, you know, trade offs, you know, for the, the system and now with AI, it's like, okay, well, that just changes the game on writing these things.[00:45:36] Bret: And so like, I just wonder if a combination of programming languages that are more structurally oriented towards the values that we need from an AI generated program, verifiable correctness and all of that. If it's tedious to produce for a person, that maybe doesn't matter. But one thing, like if I asked you, is this rest program memory safe?[00:45:58] Bret: You wouldn't have to read it, you just have [00:46:00] to compile it. So that's interesting. I mean, that's like an, that's one example of a very modest form of formal verification. So I bring that up because I do think you have AI inspect AI, you can have AI reviewed. Do AI code reviews. It would disappoint me if the best we could get was AI reviewing Python and having scaled a few very large.[00:46:21] Bret: Websites that were written on Python. It's just like, you know, expensive and it's like every, trust me, every team who's written a big web service in Python has experimented with like Pi Pi and all these things just to make it slightly more efficient than it naturally is. You don't really have true multi threading anyway.[00:46:36] Bret: It's just like clearly that you do it just because it's convenient to write. And I just feel like we're, I don't want to say it's insane. I just mean. I do think we're at a local maximum. And I would hope that we create a programming system, a combination of programming languages, formal verification, testing, automated code reviews, where you can use AI to generate software in a high scale way and trust it.[00:46:59] Bret: And you're [00:47:00] not limited by your ability to read it necessarily. I don't know exactly what form that would take, but I feel like that would be a pretty cool world to live in.[00:47:08] Alessio: Yeah. We had Chris Lanner on the podcast. He's doing great work with modular. I mean, I love. LVM. Yeah. Basically merging rust in and Python.[00:47:15] Alessio: That's kind of the idea. Should be, but I'm curious is like, for them a big use case was like making it compatible with Python, same APIs so that Python developers could use it. Yeah. And so I, I wonder at what point, well, yeah.[00:47:26] Bret: At least my understanding is they're targeting the data science Yeah. Machine learning crowd, which is all written in Python, so still feels like a local maximum.[00:47:34] Bret: Yeah.[00:47:34] swyx: Yeah, exactly. I'll force you to make a prediction. You know, Python's roughly 30 years old. In 30 years from now, is Rust going to be bigger than Python?[00:47:42] Bret: I don't know this, but just, I don't even know this is a prediction. I just am sort of like saying stuff I hope is true. I would like to see an AI native programming language and programming system, and I use language because I'm not sure language is even the right thing, but I hope in 30 years, there's an AI native way we make [00:48:00] software that is wholly uncorrelated with the current set of programming languages.[00:48:04] Bret: or not uncorrelated, but I think most programming languages today were designed to be efficiently authored by people and some have different trade offs.[00:48:15] Evolution of Programming Languages[00:48:15] Bret: You know, you have Haskell and others that were designed for abstractions for parallelism and things like that. You have programming languages like Python, which are designed to be very easily written, sort of like Perl and Python lineage, which is why data scientists use it.[00:48:31] Bret: It's it can, it has a. Interactive mode, things like that. And I love, I'm a huge Python fan. So despite all my Python trash talk, a huge Python fan wrote at least two of my three companies were exclusively written in Python and then C came out of the birth of Unix and it wasn't the first, but certainly the most prominent first step after assembly language, right?[00:48:54] Bret: Where you had higher level abstractions rather than and going beyond go to, to like abstractions, [00:49:00] like the for loop and the while loop.[00:49:01] The Future of Software Engineering[00:49:01] Bret: So I just think that if the act of writing code is no longer a meaningful human exercise, maybe it will be, I don't know. I'm just saying it sort of feels like maybe it's one of those parts of history that just will sort of like go away, but there's still the role of this offer engineer, like the person actually building the system.[00:49:20] Bret: Right. And. What does a programming system for that form factor look like?[00:49:25] React and Front-End Development[00:49:25] Bret: And I, I just have a, I hope to be just like I mentioned, I remember I was at Facebook in the very early days when, when, what is now react was being created. And I remember when the, it was like released open source I had left by that time and I was just like, this is so f*****g cool.[00:49:42] Bret: Like, you know, to basically model your app independent of the data flowing through it, just made everything easier. And then now. You know, I can create, like there's a lot of the front end software gym play is like a little chaotic for me, to be honest with you. It is like, it's sort of like [00:50:00] abstraction soup right now for me, but like some of those core ideas felt really ergonomic.[00:50:04] Bret: I just wanna, I'm just looking forward to the day when someone comes up with a programming system that feels both really like an aha moment, but completely foreign to me at the same time. Because they created it with sort of like from first principles recognizing that like. Authoring code in an editor is maybe not like the primary like reason why a programming system exists anymore.[00:50:26] Bret: And I think that's like, that would be a very exciting day for me.[00:50:28] The Role of AI in Programming[00:50:28] swyx: Yeah, I would say like the various versions of this discussion have happened at the end of the day, you still need to precisely communicate what you want. As a manager of people, as someone who has done many, many legal contracts, you know how hard that is.[00:50:42] swyx: And then now we have to talk to machines doing that and AIs interpreting what we mean and reading our minds effectively. I don't know how to get across that barrier of translating human intent to instructions. And yes, it can be more declarative, but I don't know if it'll ever Crossover from being [00:51:00] a programming language to something more than that.[00:51:02] Bret: I agree with you. And I actually do think if you look at like a legal contract, you know, the imprecision of the English language, it's like a flaw in the system. How many[00:51:12] swyx: holes there are.[00:51:13] Bret: And I do think that when you're making a mission critical software system, I don't think it should be English language prompts.[00:51:19] Bret: I think that is silly because you want the precision of a a programming language. My point was less about that and more about if the actual act of authoring it, like if you.[00:51:32] Formal Verification in Software[00:51:32] Bret: I'll think of some embedded systems do use formal verification. I know it's very common in like security protocols now so that you can, because the importance of correctness is so great.[00:51:41] Bret: My intellectual exercise is like, why not do that for all software? I mean, probably that's silly just literally to do what we literally do for. These low level security protocols, but the only reason we don't is because it's hard and tedious and hard and tedious are no longer factors. So, like, if I could, I mean, [00:52:00] just think of, like, the silliest app on your phone right now, the idea that that app should be, like, formally verified for its correctness feels laughable right now because, like, God, why would you spend the time on it?[00:52:10] Bret: But if it's zero costs, like, yeah, I guess so. I mean, it never crashed. That's probably good. You know, why not? I just want to, like, set our bars really high. Like. We should make, software has been amazing. Like there's a Mark Andreessen blog post, software is eating the world. And you know, our whole life is, is mediated digitally.[00:52:26] Bret: And that's just increasing with AI. And now we'll have our personal agents talking to the agents on the CRO platform and it's agents all the way down, you know, our core infrastructure is running on these digital systems. We now have like, and we've had a shortage of software developers for my entire life.[00:52:45] Bret: And as a consequence, you know if you look, remember like health care, got healthcare. gov that fiasco security vulnerabilities leading to state actors getting access to critical infrastructure. I'm like. We now have like created this like amazing system that can [00:53:00] like, we can fix this, you know, and I, I just want to, I'm both excited about the productivity gains in the economy, but I just think as software engineers, we should be bolder.[00:53:08] Bret: Like we should have aspirations to fix these systems so that like in general, as you said, as precise as we want to be in the specification of the system. We can make it work correctly now, and I'm being a little bit hand wavy, and I think we need some systems. I think that's where we should set the bar, especially when so much of our life depends on this critical digital infrastructure.[00:53:28] Bret: So I'm I'm just like super optimistic about it. But actually, let's go to w

This meditation delves into the profound wisdom of the Yoga Sutras, exploring the principle of Satya—truthfulness—as a path to authentic living. More than just avoiding falsehoods, Satya invites us to align our thoughts, words, and actions with the deepest reality of who we are. This practice will guide you to gently examine your inner landscape, uncovering any hidden self-deceptions or inconsistencies between your inner and outer worlds. Through guided reflection and contemplation, you'll cultivate a deeper understanding of what it means to live with integrity, speaking your truth with clarity and compassion, while honoring the truth of others. This meditation is an invitation to embrace your authentic self, leading to greater freedom, peace, and genuine connection. YOUR MEDITATION JOURNEY DURING THIS WEEK'S SERIES This is episode 2 of a 7-day meditation series titled, "Exploring Satya in the Yoga Sutras" episodes 2103-2109.  THIS WEEK'S CHALLENGE: Go on a Truth Quest Seek out what truth means to you. Pause and allow your truth to reveal itself. THIS WEEK'S MEDITATION TECHNIQUES:   Day 1:  Aligning with your inner truth Day 2:  Affirmation, "I listen to my inner truth." Day 3:  Unlocking Peace Breath Day 4:  Ushas mudra for mental clarity Day 5:  5th chakra for inner peace Day 6:  Layer Meditation Techniques Day 7:  Reflection + Introspection   SHARE YOUR MEDITATION JOURNEY WITH YOUR FELLOW MEDITATORS   Let's connect and inspire each other! Please share a little about how meditation has helped you by reaching out to me at Mary@SipandOm.com or better yet -- direct message me at https://www.instagram.com/sip.and.om. We'd love to hear about your meditation ritual!  SUBSCRIBE, LEAVE A REVIEW + TAKE OUR SURVEY SUBSCRIBE so you don't miss a single episode. Consistency is the KEY to a successful meditation ritual. SHARE the podcast with someone who could use a little extra support. I'd be honored if you left me a podcast review. If you do, please email me at Mary@sipandom.com and let me know a little about yourself and how meditation has helped you. I'd love to share your journey to inspire fellow meditators on the podcast! SURVEY: Help us get to know more about how best to serve you by taking our demographics survey: https://survey.libsyn.com/thedailymeditationpodcast FOR DAILY EXTRA SUPPORT OUTSIDE THE PODCAST Each day's meditation techniques posted at: sip.and.om Instagram https://www.instagram.com/sip.and.om/ sip and om Facebook https://www.facebook.com/SipandOm/ A DIFFERENT MEDITATION TECHNIQUE EVERY DAY FOCUSED ON A WEEKLY THEME: Get ready for an exciting journey with a new meditation technique daily, perfectly tailored to the week's theme! Infuse these powerful practices into the most stressful moments of your day to master difficult emotions. These dynamic techniques will help you tame the "monkey mind," keeping your thoughts from interrupting your meditation and bringing peace and focus to your life. FREE TOOLS: For free meditation tools to help you meditate please head over to my website at www.SipandOm.com, and there you'll find free resources to help you on your Meditation Journey. Enjoy access to more than 3,000 guided meditations without ads on the Sip and Om app. Try it for 7 days of free access to the full app! Listen on iTunes for 1-Week Free! https://itunes.apple.com/us/app/sip-and-om/id1216664612?platform=iphone&preserveScrollPosition=true#platform/iphone   1-week Free Access to the Android app! https://play.google.com/store/apps/details?id=com.sipandom.sipandom   ***All meditations are Mary Meckley's original copyrighted content unless otherwise stated, and may not be shared without her written permission.   RESOURCES Music composed by Christopher Lloyd Clark licensed by RoyaltyFreeMusic.com, and also by musician Greg Keller.   I'D LOVE TO HEAR FROM YOU I'd love your feedback! Please let me know how you're enjoying the meditations by leaving me a review on iTunes.   **All of the information shared on this podcast is for your enjoyment only. Please don't consider the meditation techniques, herbal tea information, or other information shared by Mary Meckley or any of her guests as a replacement for any medical or psychological treatment. That being said, please enjoy any peace, energy, or clarity you may experience as you meditate.

THIS WEEK'S SERIES Get ready to embark on a transformative journey into the heart of truth! This meditation series, "Exploring Satya in the Yoga Sutras," delves into the profound wisdom of the Yoga Sutras, illuminating the path to authentic living. Satya, truthfulness, isn't just about avoiding lies; it's a radical commitment to aligning your thoughts, words, and actions with the deepest reality of who you are. This isn't your average meditation series – we're going beyond surface-level honesty to uncover the subtle ways we deceive ourselves and others. Prepare to be challenged, inspired, and empowered as we explore the many facets of Satya, from cultivating inner integrity to speaking your truth with courage and compassion. Each meditation will offer practical tools and insights to help you peel back the layers of illusion and discover the radiant truth that resides within. Join us as we unlock the transformative power of Satya and step into a life of greater authenticity, freedom, and joy.   YOUR MEDITATION JOURNEY DURING THIS WEEK'S SERIES This is episode 1 of a 7-day meditation series titled, "Exploring Satya in the Yoga Sutras" episodes 2103-2109.  THIS WEEK'S CHALLENGE: Go on a Truth Quest Seek out what truth means to you. Pause and allow your truth to reveal itself. THIS WEEK'S MEDITATION TECHNIQUES:   Day 1:  Aligning with your inner truth Day 2:  Affirmation, "I listen to my inner truth." Day 3:  Unlocking Peace Breath Day 4:  Ushas mudra for mental clarity Day 5:  5th chakra for inner peace Day 6:  Layer Meditation Techniques Day 7:  Reflection + Introspection   SHARE YOUR MEDITATION JOURNEY WITH YOUR FELLOW MEDITATORS   Let's connect and inspire each other! Please share a little about how meditation has helped you by reaching out to me at Mary@SipandOm.com or better yet -- direct message me at https://www.instagram.com/sip.and.om. We'd love to hear about your meditation ritual!  SUBSCRIBE, LEAVE A REVIEW + TAKE OUR SURVEY SUBSCRIBE so you don't miss a single episode. Consistency is the KEY to a successful meditation ritual. SHARE the podcast with someone who could use a little extra support. I'd be honored if you left me a podcast review. If you do, please email me at Mary@sipandom.com and let me know a little about yourself and how meditation has helped you. I'd love to share your journey to inspire fellow meditators on the podcast! SURVEY: Help us get to know more about how best to serve you by taking our demographics survey: https://survey.libsyn.com/thedailymeditationpodcast FOR DAILY EXTRA SUPPORT OUTSIDE THE PODCAST Each day's meditation techniques posted at: sip.and.om Instagram https://www.instagram.com/sip.and.om/ sip and om Facebook https://www.facebook.com/SipandOm/ A DIFFERENT MEDITATION TECHNIQUE EVERY DAY FOCUSED ON A WEEKLY THEME: Get ready for an exciting journey with a new meditation technique daily, perfectly tailored to the week's theme! Infuse these powerful practices into the most stressful moments of your day to master difficult emotions. These dynamic techniques will help you tame the "monkey mind," keeping your thoughts from interrupting your meditation and bringing peace and focus to your life. FREE TOOLS: For free meditation tools to help you meditate please head over to my website at www.SipandOm.com, and there you'll find free resources to help you on your Meditation Journey. Enjoy access to more than 3,000 guided meditations without ads on the Sip and Om app. Try it for 7 days of free access to the full app! Listen on iTunes for 1-Week Free! https://itunes.apple.com/us/app/sip-and-om/id1216664612?platform=iphone&preserveScrollPosition=true#platform/iphone   1-week Free Access to the Android app! https://play.google.com/store/apps/details?id=com.sipandom.sipandom   ***All meditations are Mary Meckley's original copyrighted content unless otherwise stated, and may not be shared without her written permission.   RESOURCES Music composed by Christopher Lloyd Clark licensed by RoyaltyFreeMusic.com, and also by musician Greg Keller.   I'D LOVE TO HEAR FROM YOU I'd love your feedback! Please let me know how you're enjoying the meditations by leaving me a review on iTunes.   **All of the information shared on this podcast is for your enjoyment only. Please don't consider the meditation techniques, herbal tea information, or other information shared by Mary Meckley or any of her guests as a replacement for any medical or psychological treatment. That being said, please enjoy any peace, energy, or clarity you may experience as you meditate.

In Episode 203 of PG Radio, Prakhar engages in a deep conversation with Satyakaam Ramakrishnan ​⁠ @Satya_Speaks  , exploring spirituality, consciousness, and the philosophies that shape our understanding of life.Satya Ji has dedicated his life to the exploration of human consciousness and energy through meditation, fine arts, martial arts, singing and wisdom traditions. His diverse approach is centered around forming a heartfelt connection with life and his work is to inspire others to discover a creative way of living without denying or rejecting any aspect of life.This is what we talked about:00:00 - Being Human and Human Energy Flow05:06 - What is Satya Teaching13:29 - Satya's Life Philosophy25:23 - Life Changing Lessons from Satya38:55 - Accessing & Understanding the Human Life46:31 - Connection of Humans with Cosmos, Relationships58:02 - Understanding S*x, Sexuality & Love1:11:37 - Understanding Kundalini and Flow State1:24:26 - Psychedelics, Good or Bad?1:30:39 - Satya on Hindu Mythology1:33:21 - What makes Satya "Satya Speaks"1:40:09 - How Virtual World is changing Current World1:46:57 - Where to Find Satya1:48:52 - Satya's words for Prakhar

Unlock Your Business Potential with Warrior Sage's Transformative Retreats with Satyen Raja Warriorsage.com About the Guest(s): Satyen Raja is a world-renowned teacher, mentor, and guide, famously known as the "CEO Oracle" for his extraordinary ability to guide companies beyond conventional business models. With over 30 years of experience in building and scaling businesses, Satya has demonstrated a unique strategy that integrates passion, purpose, and freedom into business growth. An author of the book "Transcendent CEO and Culture," he is a sought-after figure in the field of business leadership and development. His current project, Warrior Sage, focuses on elevating leadership and team dynamics through a blend of practical and spiritual methods, informed by his extensive background in martial arts and wisdom traditions of the Amazon. Episode Summary: Welcome to the latest episode of The Chris Voss Show, where host Chris Voss interviews the insightful Satyen Raja. Known for his groundbreaking strategies to catalyze business growth through spiritual and intrinsic enrichment, Satya shares his experiences and insights with our audience. With keywords such as "transcendent leadership" and "business spirituality," this episode delves into how transformative leadership goes beyond just financial success, aiming for a holistic fulfillment in both personal and professional realms. Satyen Raja discusses his new book, "Transcendent CEO and Culture," which provides wisdom and practical advice gathered from his three decades of mentoring entrepreneurs worldwide. He delves deep into the dynamics of building and sustaining super teams to create unstoppable companies. Satyen Raja shares his journey from growing up in an entrepreneurial Indian family to developing his unique philosophy that mixes traditional martial arts wisdom with modern business practices. Incorporating concepts like work-life ecstasy over balance, the importance of healing subconscious restrictions, and igniting one's soul on fire, this episode is packed with actionable insights for business leaders aiming for true fulfillment and success. Key Takeaways: Satyen Raja promotes a revolutionary approach to leadership that combines business acumen with deep spiritual enlightenment, advocating for an integration of passion, purpose, and inner peace. "Transcendent CEO and Culture" offers business leaders tools to transform struggling business models into thriving entities rooted in collective synergy and mindfulness. Emphasizing the significance of "super teams," Satya highlights the role of human dynamics and emotional intelligence in achieving business success. He leads retreats that focus on awakening one's soul's fire using both modern techniques and traditional wisdom, including plant teacher experiences like Ayahuasca. Satyen Raja challenges the one-dimensional pursuit of success, stressing the importance of balanced growth across multiple life facets: business success, personal relationships, spirituality, and overall well-being. Notable Quotes: "We can have it all, but it's gotta start within." "When we heal those unconscious negative imprints… our soul gets on fire again." "Your soul is much more quiet. It knows that true fulfillment and happiness doesn't come only from material gain." "Let's create a new way so that we can have both and achieve all that we want in life." "I'm interested in working with entrepreneurs who want a radical upgrade, success upgrade."

In this enlightening episode of Healthy Mind, Healthy Life, we delve into the transformative power of sacred sexuality with the renowned Satya Lila. With over 30 years of experience, Satya has helped women and couples reconnect with their divine erotic energy, unlocking vitality, spiritual awakening, and deep intimacy. From breaking through societal taboos to understanding how sexuality can be a sacred practice, this episode explores the profound connection between intimacy, spirituality, and holistic well-being. About the Guest: Satya Lila is a sacred sexuality educator, transformational coach, and spiritual guide who has dedicated over three decades to empowering individuals and couples. Through her workshops across the U.S. and Japan and over 15,000 client sessions, Satya has helped countless people rediscover the sacredness of their bodies and relationships. Her approach combines practical techniques with a spiritual philosophy that allows individuals to tap into divine energies for lasting transformation. Reach: https://satyalila.info/  Key Takeaways from This Episode: What is Sacred Sexuality?: Discover how sacred sexuality transforms intimacy into a devotional practice that deepens both physical and spiritual connections. Awakening Divine Energy: Learn how to channel sexual energy through the body for greater vitality, pleasure, and spiritual awakening. Breaking Societal Taboos: Explore how to overcome shame and societal conditioning around sexuality to fully embrace your power. Rebuilding Intimacy: Simple yet powerful practices for couples to reconnect and deepen their intimacy, starting with eye contact and synchronized breathing. Practical Steps to Begin: Start incorporating sacred sexuality into your life through mindfulness, breathwork, and devotion to self and partner. Special Resources Mentioned in This Episode: Satya Lila's Free “Sexual Communion Gateway” Session (Available on her website under “Free Stuff”) Guided Audio Meditations for Couples Workshops and One-on-One Sessions with Satya Closing Message: Remember, sacred sexuality is not just about intimacy with a partner—it's about connecting deeply with yourself, your body, and your spirit. Unlocking this energy can lead to profound transformation, vitality, and a deeper connection with life itself. Want to be a guest on Healthy Mind, Healthy Life? DM on PodMatch: DM Me Here: PodMatch Subscribe to Newsletter: Healthy Mind Newsletter Join Community: Healthy Mind Community Stay Tuned and Follow Us! YouTube: Healthy Mind YouTube Instagram: PodHealth.Club Threads: PodHealth.Club Threads Facebook: Healthy Mind Podcast LinkedIn: Avik Chakraborty LinkedIn

Satya Khan is a Partner and CMO of Functional Bodybuilding, an online fitness company founded by former CrossFit Games athlete Marcus Filly. Website: https://functional-bodybuilding.com From James: Free Online Training: How to Earn $2,000/mo. From Digital Products

Satya unpacks how Unilever utilizes its database to inform its models and how to determine the right amount of data needed to solve complex problems. Dr. Wattamwar explains why contextual problem-solving is vital, the notion of time constraints in data science, the system point of view of modeling, and how Unilever incorporates AI into its models. Gain insights into how AI can increase operational efficiency, exciting trends in the AI space, how AI makes experimentation accessible, and more! Tune in to learn about the power of data science and AI with Dr. Satyajit Wattamwar. Key Points From This Episode:Background on Dr. Wattamwar, his PhD research, and data science expertise.Unpacking some of the commonalities between data science and physics. Why the outcome of using significantly large data sets depends on the situation. The minimum amount of data needed to make meaningful and quality models.Examples of the common mistakes and pitfalls that data scientists make.How Unilever works with partner organizations to integrate AI into its models.Ways that Dr. Wattamwar uses AI-based tools to increase his productivity.The difference between using AI for innovation versus operational efficiency.Insight into the shifting data science landscape and advice for budding data scientists.Quotes:“Around – 30 or 40 years ago, people started realizing the importance of data-driven modeling because you can never capture physics perfectly in an equation.” — Dr. Satyajit Wattamwar [0:03:10]“Having large volumes of data which are less related with each other is a different thing than a large volume of data for one problem.” — Dr. Satyajit Wattamwar [0:09:12]“More data [does] not always lead to good quality models. Unless it is for the same use-case.” — Dr. Satyajit Wattamwar [0:11:56]“If somebody is looking [to] grow in their career ladder, then it's not about one's own interest.” — Dr. Satyajit Wattamwar [0:24:07]Links Mentioned in Today's Episode:Dr. Satyajit Wattamwar on LinkedInUnileverHow AI HappensSama

Weary. That’s how Satya felt after nine months in his new job. As a believer in Jesus, he’d sought to follow God’s principles in the way he solved problems and directed the work. But people-related problems persisted, and little organizational progress seemed to have been made. He felt like throwing in the towel. Perhaps, like Satya, you’re feeling tired. You know the good that you ought to do, but simply feel too emotionally and physically drained to carry on. Take heart. The apostle Paul encourages us with these words: “Let us not become weary in doing good, for at the proper time we will reap a harvest if we do not give up” (Galatians 6:9). He uses the metaphor of a farmer. And, as any farmer knows, sowing is hard work. Sowing to “please the Spirit” (v. 8) is hard work too. Believers in Jesus who seek to follow the Spirit’s lead and live a life that honors Him can grow faint and lose heart. But as we hang on to His promise, the harvest will come. We’ll “reap eternal life” (v. 8; see John 17:3)—a bumper crop of God’s blessing when Christ returns, and in this life, we’ll have the confidence and joy that come from knowing Christ. We’ll reap at the proper time, a time determined not by seasons or the weather but by the will of a perfect God. Until the harvest comes, let’s keep sowing in God’s strength.

Featuring ThyGappers - Murlidhar K, Sreekaran, Bandla anna super fyan, AnvithaIn conversation - Jandhyala v/s RGV, RGV career graph. Kshana Kshanam. Kaun. Raatri. Satya. Shiva. Govinda Govinda. Money. Bandhuvulostunnaru Jagratha. Bogus rocks, Brut shocks. LA fires. ThyGap Awards(?)____________________Subscribe, and Share!***Instagram: @_ThyGap |Twitter: @ThyGap |Email: mindthygap@gmail.com |Discord: https://discord.gg/mPS4aNWa94All Links: https://linktr.ee/thygap

In this cross-over episode with The Logan Bartltett Show, Marc Benioff (CEO, Salesforce) responds to Satya Nadella's recent predictions and shares his thoughts on the current reality of Agi. He dives into the rise of digital labor, the multi-trillion-dollar potential of agentic technology, and what the future split between software and agentic revenue might look like. Marc also discusses why CEOs need to stay grounded in delivering actionable solutions, and he emphasizes the moral obligation businesses have to retrain employees and invest in communities as AI continues to evolve. (00:00) Intro(01:45) Salesforce's AI Impact on Business(03:03) The Future of Digital Labor(05:28) Agentic AI and Customer Success(07:42) Salesforce's Competitive Edge(11:48) Marc Benioff's Response to Satya Nadella(14:16) The Role of AI in Enterprise Software(20:14) The Balance of AI and Human Labor(28:34) Salesforce's Philanthropic Efforts(36:24) The Future of AI and Regulation(40:24) Conclusion and Farewell

RJJ Software's Software Development Service This episode of The Modern .NET Show is supported, in part, by RJJ Software's Podcasting Services, whether your company is looking to elevate its UK operations or reshape its US strategy, we can provide tailored solutions that exceed expectations. Show Notes "So we're dealing with code bases that are getting bigger and bigger every day. You know, those million line code bases, two million line code bases is not unusual. We are being pushed to do more. I remember when I was working at Microsoft a couple of years ago, Satya Nadella, CEO, his favourite phrase was, "you have to do more with less." But yeah, so Satya was big on this idea of do more with less. And this has kind of resonated across the industry as a whole."— Jim Bennett Welcome friends to The Modern .NET Show; the premier .NET podcast, focusing entirely on the knowledge, tools, and frameworks that all .NET developers should have in their toolbox. We are the go-to podcast for .NET developers worldwide, and I am not your host: Jamie. I'm Delilah and I will be recording the intro for this episode because Jamie is suffering with a throat infection. In this episode, Jim Bennett returns to the show after a six-year absence. In his previous appearance, Jim introduced us to Xamarin, but in the time since that appearance, Xamarin has been sunsetted. So it felt natural to start our conversation about the wonderful outpouring of support over on X with the hashtag #XamarinGaveMe. The main topic of conversation is about Generative AI, Large Language Models, and how the new startup, Pieces, can help developers to keep the context of what they are working on at the front of their mind at all times; both when they are online and off. "If I said to you, "which character from the Pixar movie Up are you?" The answer is going to be, "Doug," we're all Doug. We're all like, "squirrel!" So if we have to go from our IDE to a browser to ask a question, we're reading email on the way. We are looking at chat tools on the way. Oh, we're in a browser. "Oh, I've got a notification on Blue Sky. I'm going to have a look at that." We are context switching. We are distracted. We are drinking coffee. We are losing our productivity"— Jim Bennett Anyway, without further ado, let's sit back, open up a terminal, type in `dotnet new podcast` and we'll dive into the core of Modern .NET. My voice was created using Generative AI. Supporting the Show If you find this episode useful in any way, please consider supporting the show by either leaving a review (check our review page for ways to do that), sharing the episode with a friend or colleague, buying the host a coffee, or considering becoming a Patron of the show. Full Show Notes The full show notes, including links to some of the things we discussed and a full transcription of this episode, can be found at: https://dotnetcore.show/season-7/unlocking-the-power-of-ai-jim-bennett-on-pieces-for-developers Jim's Links: Jim's linked on Link Tree Pieces Pieces Discord #XamarinGaveMe Xamarin in Action (AKA Jim's book on Xamarin) Jamie's Public NuGet Packages: OwaspHeaders.Core ClackMiddleware OnionArch.Mvc Useful Links Generative AI for .NET Developers with Amit Bahree Ollama OpenVino LLMs Mentioned: Llama Microsoft Phi Mistral Qwen-2.5 which Jamie mis-names as Quon. Supporting the show: Leave a rating or review Buy the show a coffee Become a patron Getting in Touch: Via the contact page Joining the Discord Remember to rate and review the show on Apple Podcasts, Podchaser, or wherever you find your podcasts, this will help the show's audience grow. Or you can just share the show with a friend. And don't forget to reach out via our Contact page. We're very interested in your opinion of the show, so please get in touch. You can support the show by making a monthly donation on the show's Patreon page at: https://www.patreon.com/TheDotNetCorePodcast.

Applications for the 2025 AI Engineer Summit are up, and you can save the date for AIE Singapore in April and AIE World's Fair 2025 in June.Happy new year, and thanks for 100 great episodes! Please let us know what you want to see/hear for the next 100!Full YouTube Episode with Slides/ChartsLike and subscribe and hit that bell to get notifs!Timestamps* 00:00 Welcome to the 100th Episode!* 00:19 Reflecting on the Journey* 00:47 AI Engineering: The Rise and Impact* 03:15 Latent Space Live and AI Conferences* 09:44 The Competitive AI Landscape* 21:45 Synthetic Data and Future Trends* 35:53 Creative Writing with AI* 36:12 Legal and Ethical Issues in AI* 38:18 The Data War: GPU Poor vs. GPU Rich* 39:12 The Rise of GPU Ultra Rich* 40:47 Emerging Trends in AI Models* 45:31 The Multi-Modality War* 01:05:31 The Future of AI Benchmarks* 01:13:17 Pionote and Frontier Models* 01:13:47 Niche Models and Base Models* 01:14:30 State Space Models and RWKB* 01:15:48 Inference Race and Price Wars* 01:22:16 Major AI Themes of the Year* 01:22:48 AI Rewind: January to March* 01:26:42 AI Rewind: April to June* 01:33:12 AI Rewind: July to September* 01:34:59 AI Rewind: October to December* 01:39:53 Year-End Reflections and PredictionsTranscript[00:00:00] Welcome to the 100th Episode![00:00:00] Alessio: Hey everyone, welcome to the Latent Space Podcast. This is Alessio, partner and CTO at Decibel Partners, and I'm joined by my co host Swyx for the 100th time today.[00:00:12] swyx: Yay, um, and we're so glad that, yeah, you know, everyone has, uh, followed us in this journey. How do you feel about it? 100 episodes.[00:00:19] Alessio: Yeah, I know.[00:00:19] Reflecting on the Journey[00:00:19] Alessio: Almost two years that we've been doing this. We've had four different studios. Uh, we've had a lot of changes. You know, we used to do this lightning round. When we first started that we didn't like, and we tried to change the question. The answer[00:00:32] swyx: was cursor and perplexity.[00:00:34] Alessio: Yeah, I love mid journey. It's like, do you really not like anything else?[00:00:38] Alessio: Like what's, what's the unique thing? And I think, yeah, we, we've also had a lot more research driven content. You know, we had like 3DAO, we had, you know. Jeremy Howard, we had more folks like that.[00:00:47] AI Engineering: The Rise and Impact[00:00:47] Alessio: I think we want to do more of that too in the new year, like having, uh, some of the Gemini folks, both on the research and the applied side.[00:00:54] Alessio: Yeah, but it's been a ton of fun. I think we both started, I wouldn't say as a joke, we were kind of like, Oh, we [00:01:00] should do a podcast. And I think we kind of caught the right wave, obviously. And I think your rise of the AI engineer posts just kind of get people. Sombra to congregate, and then the AI engineer summit.[00:01:11] Alessio: And that's why when I look at our growth chart, it's kind of like a proxy for like the AI engineering industry as a whole, which is almost like, like, even if we don't do that much, we keep growing just because there's so many more AI engineers. So did you expect that growth or did you expect that would take longer for like the AI engineer thing to kind of like become, you know, everybody talks about it today.[00:01:32] swyx: So, the sign of that, that we have won is that Gartner puts it at the top of the hype curve right now. So Gartner has called the peak in AI engineering. I did not expect, um, to what level. I knew that I was correct when I called it because I did like two months of work going into that. But I didn't know, You know, how quickly it could happen, and obviously there's a chance that I could be wrong.[00:01:52] swyx: But I think, like, most people have come around to that concept. Hacker News hates it, which is a good sign. But there's enough people that have defined it, you know, GitHub, when [00:02:00] they launched GitHub Models, which is the Hugging Face clone, they put AI engineers in the banner, like, above the fold, like, in big So I think it's like kind of arrived as a meaningful and useful definition.[00:02:12] swyx: I think people are trying to figure out where the boundaries are. I think that was a lot of the quote unquote drama that happens behind the scenes at the World's Fair in June. Because I think there's a lot of doubt or questions about where ML engineering stops and AI engineering starts. That's a useful debate to be had.[00:02:29] swyx: In some sense, I actually anticipated that as well. So I intentionally did not. Put a firm definition there because most of the successful definitions are necessarily underspecified and it's actually useful to have different perspectives and you don't have to specify everything from the outset.[00:02:45] Alessio: Yeah, I was at um, AWS reInvent and the line to get into like the AI engineering talk, so to speak, which is, you know, applied AI and whatnot was like, there are like hundreds of people just in line to go in.[00:02:56] Alessio: I think that's kind of what enabled me. People, right? Which is what [00:03:00] you kind of talked about. It's like, Hey, look, you don't actually need a PhD, just, yeah, just use the model. And then maybe we'll talk about some of the blind spots that you get as an engineer with the earlier posts that we also had on on the sub stack.[00:03:11] Alessio: But yeah, it's been a heck of a heck of a two years.[00:03:14] swyx: Yeah.[00:03:15] Latent Space Live and AI Conferences[00:03:15] swyx: You know, I was, I was trying to view the conference as like, so NeurIPS is I think like 16, 17, 000 people. And the Latent Space Live event that we held there was 950 signups. I think. The AI world, the ML world is still very much research heavy. And that's as it should be because ML is very much in a research phase.[00:03:34] swyx: But as we move this entire field into production, I think that ratio inverts into becoming more engineering heavy. So at least I think engineering should be on the same level, even if it's never as prestigious, like it'll always be low status because at the end of the day, you're manipulating APIs or whatever.[00:03:51] swyx: But Yeah, wrapping GPTs, but there's going to be an increasing stack and an art to doing these, these things well. And I, you know, I [00:04:00] think that's what we're focusing on for the podcast, the conference and basically everything I do seems to make sense. And I think we'll, we'll talk about the trends here that apply.[00:04:09] swyx: It's, it's just very strange. So, like, there's a mix of, like, keeping on top of research while not being a researcher and then putting that research into production. So, like, people always ask me, like, why are you covering Neuralibs? Like, this is a ML research conference and I'm like, well, yeah, I mean, we're not going to, to like, understand everything Or reproduce every single paper, but the stuff that is being found here is going to make it through into production at some point, you hope.[00:04:32] swyx: And then actually like when I talk to the researchers, they actually get very excited because they're like, oh, you guys are actually caring about how this goes into production and that's what they really really want. The measure of success is previously just peer review, right? Getting 7s and 8s on their um, Academic review conferences and stuff like citations is one metric, but money is a better metric.[00:04:51] Alessio: Money is a better metric. Yeah, and there were about 2200 people on the live stream or something like that. Yeah, yeah. Hundred on the live stream. So [00:05:00] I try my best to moderate, but it was a lot spicier in person with Jonathan and, and Dylan. Yeah, that it was in the chat on YouTube.[00:05:06] swyx: I would say that I actually also created.[00:05:09] swyx: Layen Space Live in order to address flaws that are perceived in academic conferences. This is not NeurIPS specific, it's ICML, NeurIPS. Basically, it's very sort of oriented towards the PhD student, uh, market, job market, right? Like literally all, basically everyone's there to advertise their research and skills and get jobs.[00:05:28] swyx: And then obviously all the, the companies go there to hire them. And I think that's great for the individual researchers, but for people going there to get info is not great because you have to read between the lines, bring a ton of context in order to understand every single paper. So what is missing is effectively what I ended up doing, which is domain by domain, go through and recap the best of the year.[00:05:48] swyx: Survey the field. And there are, like NeurIPS had a, uh, I think ICML had a like a position paper track, NeurIPS added a benchmarks, uh, datasets track. These are ways in which to address that [00:06:00] issue. Uh, there's always workshops as well. Every, every conference has, you know, a last day of workshops and stuff that provide more of an overview.[00:06:06] swyx: But they're not specifically prompted to do so. And I think really, uh, Organizing a conference is just about getting good speakers and giving them the correct prompts. And then they will just go and do that thing and they do a very good job of it. So I think Sarah did a fantastic job with the startups prompt.[00:06:21] swyx: I can't list everybody, but we did best of 2024 in startups, vision, open models. Post transformers, synthetic data, small models, and agents. And then the last one was the, uh, and then we also did a quick one on reasoning with Nathan Lambert. And then the last one, obviously, was the debate that people were very hyped about.[00:06:39] swyx: It was very awkward. And I'm really, really thankful for John Franco, basically, who stepped up to challenge Dylan. Because Dylan was like, yeah, I'll do it. But He was pro scaling. And I think everyone who is like in AI is pro scaling, right? So you need somebody who's ready to publicly say, no, we've hit a wall.[00:06:57] swyx: So that means you're saying Sam Altman's wrong. [00:07:00] You're saying, um, you know, everyone else is wrong. It helps that this was the day before Ilya went on, went up on stage and then said pre training has hit a wall. And data has hit a wall. So actually Jonathan ended up winning, and then Ilya supported that statement, and then Noam Brown on the last day further supported that statement as well.[00:07:17] swyx: So it's kind of interesting that I think the consensus kind of going in was that we're not done scaling, like you should believe in a better lesson. And then, four straight days in a row, you had Sepp Hochreiter, who is the creator of the LSTM, along with everyone's favorite OG in AI, which is Juergen Schmidhuber.[00:07:34] swyx: He said that, um, we're pre trading inside a wall, or like, we've run into a different kind of wall. And then we have, you know John Frankel, Ilya, and then Noam Brown are all saying variations of the same thing, that we have hit some kind of wall in the status quo of what pre trained, scaling large pre trained models has looked like, and we need a new thing.[00:07:54] swyx: And obviously the new thing for people is some make, either people are calling it inference time compute or test time [00:08:00] compute. I think the collective terminology has been inference time, and I think that makes sense because test time, calling it test, meaning, has a very pre trained bias, meaning that the only reason for running inference at all is to test your model.[00:08:11] swyx: That is not true. Right. Yeah. So, so, I quite agree that. OpenAI seems to have adopted, or the community seems to have adopted this terminology of ITC instead of TTC. And that, that makes a lot of sense because like now we care about inference, even right down to compute optimality. Like I actually interviewed this author who recovered or reviewed the Chinchilla paper.[00:08:31] swyx: Chinchilla paper is compute optimal training, but what is not stated in there is it's pre trained compute optimal training. And once you start caring about inference, compute optimal training, you have a different scaling law. And in a way that we did not know last year.[00:08:45] Alessio: I wonder, because John is, he's also on the side of attention is all you need.[00:08:49] Alessio: Like he had the bet with Sasha. So I'm curious, like he doesn't believe in scaling, but he thinks the transformer, I wonder if he's still. So, so,[00:08:56] swyx: so he, obviously everything is nuanced and you know, I told him to play a character [00:09:00] for this debate, right? So he actually does. Yeah. He still, he still believes that we can scale more.[00:09:04] swyx: Uh, he just assumed the character to be very game for, for playing this debate. So even more kudos to him that he assumed a position that he didn't believe in and still won the debate.[00:09:16] Alessio: Get rekt, Dylan. Um, do you just want to quickly run through some of these things? Like, uh, Sarah's presentation, just the highlights.[00:09:24] swyx: Yeah, we can't go through everyone's slides, but I pulled out some things as a factor of, like, stuff that we were going to talk about. And we'll[00:09:30] Alessio: publish[00:09:31] swyx: the rest. Yeah, we'll publish on this feed the best of 2024 in those domains. And hopefully people can benefit from the work that our speakers have done.[00:09:39] swyx: But I think it's, uh, these are just good slides. And I've been, I've been looking for a sort of end of year recaps from, from people.[00:09:44] The Competitive AI Landscape[00:09:44] swyx: The field has progressed a lot. You know, I think the max ELO in 2023 on LMSys used to be 1200 for LMSys ELOs. And now everyone is at least at, uh, 1275 in their ELOs, and this is across Gemini, Chadjibuti, [00:10:00] Grok, O1.[00:10:01] swyx: ai, which with their E Large model, and Enthopic, of course. It's a very, very competitive race. There are multiple Frontier labs all racing, but there is a clear tier zero Frontier. And then there's like a tier one. It's like, I wish I had everything else. Tier zero is extremely competitive. It's effectively now three horse race between Gemini, uh, Anthropic and OpenAI.[00:10:21] swyx: I would say that people are still holding out a candle for XAI. XAI, I think, for some reason, because their API was very slow to roll out, is not included in these metrics. So it's actually quite hard to put on there. As someone who also does charts, XAI is continually snubbed because they don't work well with the benchmarking people.[00:10:42] swyx: Yeah, yeah, yeah. It's a little trivia for why XAI always gets ignored. The other thing is market share. So these are slides from Sarah. We have it up on the screen. It has gone from very heavily open AI. So we have some numbers and estimates. These are from RAMP. Estimates of open AI market share in [00:11:00] December 2023.[00:11:01] swyx: And this is basically, what is it, GPT being 95 percent of production traffic. And I think if you correlate that with stuff that we asked. Harrison Chase on the LangChain episode, it was true. And then CLAUD 3 launched mid middle of this year. I think CLAUD 3 launched in March, CLAUD 3. 5 Sonnet was in June ish.[00:11:23] swyx: And you can start seeing the market share shift towards opening, uh, towards that topic, uh, very, very aggressively. The more recent one is Gemini. So if I scroll down a little bit, this is an even more recent dataset. So RAM's dataset ends in September 2 2. 2024. Gemini has basically launched a price war at the low end, uh, with Gemini Flash, uh, being basically free for personal use.[00:11:44] swyx: Like, I think people don't understand the free tier. It's something like a billion tokens per day. Unless you're trying to abuse it, you cannot really exhaust your free tier on Gemini. They're really trying to get you to use it. They know they're in like third place, um, fourth place, depending how you, how you count.[00:11:58] swyx: And so they're going after [00:12:00] the Lower tier first, and then, you know, maybe the upper tier later, but yeah, Gemini Flash, according to OpenRouter, is now 50 percent of their OpenRouter requests. Obviously, these are the small requests. These are small, cheap requests that are mathematically going to be more.[00:12:15] swyx: The smart ones obviously are still going to OpenAI. But, you know, it's a very, very big shift in the market. Like basically 2023, 2022, To going into 2024 opening has gone from nine five market share to Yeah. Reasonably somewhere between 50 to 75 market share.[00:12:29] Alessio: Yeah. I'm really curious how ramped does the attribution to the model?[00:12:32] Alessio: If it's API, because I think it's all credit card spin. . Well, but it's all, the credit card doesn't say maybe. Maybe the, maybe when they do expenses, they upload the PDF, but yeah, the, the German I think makes sense. I think that was one of my main 2024 takeaways that like. The best small model companies are the large labs, which is not something I would have thought that the open source kind of like long tail would be like the small model.[00:12:53] swyx: Yeah, different sizes of small models we're talking about here, right? Like so small model here for Gemini is AB, [00:13:00] right? Uh, mini. We don't know what the small model size is, but yeah, it's probably in the double digits or maybe single digits, but probably double digits. The open source community has kind of focused on the one to three B size.[00:13:11] swyx: Mm-hmm . Yeah. Maybe[00:13:12] swyx: zero, maybe 0.5 B uh, that's moon dream and that is small for you then, then that's great. It makes sense that we, we have a range for small now, which is like, may, maybe one to five B. Yeah. I'll even put that at, at, at the high end. And so this includes Gemma from Gemini as well. But also includes the Apple Foundation models, which I think Apple Foundation is 3B.[00:13:32] Alessio: Yeah. No, that's great. I mean, I think in the start small just meant cheap. I think today small is actually a more nuanced discussion, you know, that people weren't really having before.[00:13:43] swyx: Yeah, we can keep going. This is a slide that I smiley disagree with Sarah. She's pointing to the scale SEAL leaderboard. I think the Researchers that I talked with at NeurIPS were kind of positive on this because basically you need private test [00:14:00] sets to prevent contamination.[00:14:02] swyx: And Scale is one of maybe three or four people this year that has really made an effort in doing a credible private test set leaderboard. Llama405B does well compared to Gemini and GPT 40. And I think that's good. I would say that. You know, it's good to have an open model that is that big, that does well on those metrics.[00:14:23] swyx: But anyone putting 405B in production will tell you, if you scroll down a little bit to the artificial analysis numbers, that it is very slow and very expensive to infer. Um, it doesn't even fit on like one node. of, uh, of H100s. Cerebras will be happy to tell you they can serve 4 or 5B on their super large chips.[00:14:42] swyx: But, um, you know, if you need to do anything custom to it, you're still kind of constrained. So, is 4 or 5B really that relevant? Like, I think most people are basically saying that they only use 4 or 5B as a teacher model to distill down to something. Even Meta is doing it. So with Lama 3. [00:15:00] 3 launched, they only launched the 70B because they use 4 or 5B to distill the 70B.[00:15:03] swyx: So I don't know if like open source is keeping up. I think they're the, the open source industrial complex is very invested in telling you that the, if the gap is narrowing, I kind of disagree. I think that the gap is widening with O1. I think there are very, very smart people trying to narrow that gap and they should.[00:15:22] swyx: I really wish them success, but you cannot use a chart that is nearing 100 in your saturation chart. And look, the distance between open source and closed source is narrowing. Of course it's going to narrow because you're near 100. This is stupid. But in metrics that matter, is open source narrowing?[00:15:38] swyx: Probably not for O1 for a while. And it's really up to the open source guys to figure out if they can match O1 or not.[00:15:46] Alessio: I think inference time compute is bad for open source just because, you know, Doc can donate the flops at training time, but he cannot donate the flops at inference time. So it's really hard to like actually keep up on that axis.[00:15:59] Alessio: Big, big business [00:16:00] model shift. So I don't know what that means for the GPU clouds. I don't know what that means for the hyperscalers, but obviously the big labs have a lot of advantage. Because, like, it's not a static artifact that you're putting the compute in. You're kind of doing that still, but then you're putting a lot of computed inference too.[00:16:17] swyx: Yeah, yeah, yeah. Um, I mean, Llama4 will be reasoning oriented. We talked with Thomas Shalom. Um, kudos for getting that episode together. That was really nice. Good, well timed. Actually, I connected with the AI meta guy, uh, at NeurIPS, and, um, yeah, we're going to coordinate something for Llama4. Yeah, yeah,[00:16:32] Alessio: and our friend, yeah.[00:16:33] Alessio: Clara Shi just joined to lead the business agent side. So I'm sure we'll have her on in the new year.[00:16:39] swyx: Yeah. So, um, my comment on, on the business model shift, this is super interesting. Apparently it is wide knowledge that OpenAI wanted more than 6. 6 billion dollars for their fundraise. They wanted to raise, you know, higher, and they did not.[00:16:51] swyx: And what that means is basically like, it's very convenient that we're not getting GPT 5, which would have been a larger pre train. We should have a lot of upfront money. And [00:17:00] instead we're, we're converting fixed costs into variable costs, right. And passing it on effectively to the customer. And it's so much easier to take margin there because you can directly attribute it to like, Oh, you're using this more.[00:17:12] swyx: Therefore you, you pay more of the cost and I'll just slap a margin in there. So like that lets you control your growth margin and like tie your. Your spend, or your sort of inference spend, accordingly. And it's just really interesting to, that this change in the sort of inference paradigm has arrived exactly at the same time that the funding environment for pre training is effectively drying up, kind of.[00:17:36] swyx: I feel like maybe the VCs are very in tune with research anyway, so like, they would have noticed this, but, um, it's just interesting.[00:17:43] Alessio: Yeah, and I was looking back at our yearly recap of last year. Yeah. And the big thing was like the mixed trial price fights, you know, and I think now it's almost like there's nowhere to go, like, you know, Gemini Flash is like basically giving it away for free.[00:17:55] Alessio: So I think this is a good way for the labs to generate more revenue and pass down [00:18:00] some of the compute to the customer. I think they're going to[00:18:02] swyx: keep going. I think that 2, will come.[00:18:05] Alessio: Yeah, I know. Totally. I mean, next year, the first thing I'm doing is signing up for Devin. Signing up for the pro chat GBT.[00:18:12] Alessio: Just to try. I just want to see what does it look like to spend a thousand dollars a month on AI?[00:18:17] swyx: Yes. Yes. I think if your, if your, your job is a, at least AI content creator or VC or, you know, someone who, whose job it is to stay on, stay on top of things, you should already be spending like a thousand dollars a month on, on stuff.[00:18:28] swyx: And then obviously easy to spend, hard to use. You have to actually use. The good thing is that actually Google lets you do a lot of stuff for free now. So like deep research. That they just launched. Uses a ton of inference and it's, it's free while it's in preview.[00:18:45] Alessio: Yeah. They need to put that in Lindy.[00:18:47] Alessio: I've been using Lindy lately. I've been a built a bunch of things once we had flow because I liked the new thing. It's pretty good. I even did a phone call assistant. Um, yeah, they just launched Lindy voice. Yeah, I think once [00:19:00] they get advanced voice mode like capability today, still like speech to text, you can kind of tell.[00:19:06] Alessio: Um, but it's good for like reservations and things like that. So I have a meeting prepper thing. And so[00:19:13] swyx: it's good. Okay. I feel like we've, we've covered a lot of stuff. Uh, I, yeah, I, you know, I think We will go over the individual, uh, talks in a separate episode. Uh, I don't want to take too much time with, uh, this stuff, but that suffice to say that there is a lot of progress in each field.[00:19:28] swyx: Uh, we covered vision. Basically this is all like the audience voting for what they wanted. And then I just invited the best people I could find in each audience, especially agents. Um, Graham, who I talked to at ICML in Vienna, he is currently still number one. It's very hard to stay on top of SweetBench.[00:19:45] swyx: OpenHand is currently still number one. switchbench full, which is the hardest one. He had very good thoughts on agents, which I, which I'll highlight for people. Everyone is saying 2025 is the year of agents, just like they said last year. And, uh, but he had [00:20:00] thoughts on like eight parts of what are the frontier problems to solve in agents.[00:20:03] swyx: And so I'll highlight that talk as well.[00:20:05] Alessio: Yeah. The number six, which is the Hacken agents learn more about the environment, has been a Super interesting to us as well, just to think through, because, yeah, how do you put an agent in an enterprise where most things in an enterprise have never been public, you know, a lot of the tooling, like the code bases and things like that.[00:20:23] Alessio: So, yeah, there's not indexing and reg. Well, yeah, but it's more like. You can't really rag things that are not documented. But people know them based on how they've been doing it. You know, so I think there's almost this like, you know, Oh, institutional knowledge. Yeah, the boring word is kind of like a business process extraction.[00:20:38] Alessio: Yeah yeah, I see. It's like, how do you actually understand how these things are done? I see. Um, and I think today the, the problem is that, Yeah, the agents are, that most people are building are good at following instruction, but are not as good as like extracting them from you. Um, so I think that will be a big unlock just to touch quickly on the Jeff Dean thing.[00:20:55] Alessio: I thought it was pretty, I mean, we'll link it in the, in the things, but. I think the main [00:21:00] focus was like, how do you use ML to optimize the systems instead of just focusing on ML to do something else? Yeah, I think speculative decoding, we had, you know, Eugene from RWKB on the podcast before, like he's doing a lot of that with Fetterless AI.[00:21:12] swyx: Everyone is. I would say it's the norm. I'm a little bit uncomfortable with how much it costs, because it does use more of the GPU per call. But because everyone is so keen on fast inference, then yeah, makes sense.[00:21:24] Alessio: Exactly. Um, yeah, but we'll link that. Obviously Jeff is great.[00:21:30] swyx: Jeff is, Jeff's talk was more, it wasn't focused on Gemini.[00:21:33] swyx: I think people got the wrong impression from my tweet. It's more about how Google approaches ML and uses ML to design systems and then systems feedback into ML. And I think this ties in with Lubna's talk.[00:21:45] Synthetic Data and Future Trends[00:21:45] swyx: on synthetic data where it's basically the story of bootstrapping of humans and AI in AI research or AI in production.[00:21:53] swyx: So her talk was on synthetic data, where like how much synthetic data has grown in 2024 in the pre training side, the post training side, [00:22:00] and the eval side. And I think Jeff then also extended it basically to chips, uh, to chip design. So he'd spend a lot of time talking about alpha chip. And most of us in the audience are like, we're not working on hardware, man.[00:22:11] swyx: Like you guys are great. TPU is great. Okay. We'll buy TPUs.[00:22:14] Alessio: And then there was the earlier talk. Yeah. But, and then we have, uh, I don't know if we're calling them essays. What are we calling these? But[00:22:23] swyx: for me, it's just like bonus for late in space supporters, because I feel like they haven't been getting anything.[00:22:29] swyx: And then I wanted a more high frequency way to write stuff. Like that one I wrote in an afternoon. I think basically we now have an answer to what Ilya saw. It's one year since. The blip. And we know what he saw in 2014. We know what he saw in 2024. We think we know what he sees in 2024. He gave some hints and then we have vague indications of what he saw in 2023.[00:22:54] swyx: So that was the Oh, and then 2016 as well, because of this lawsuit with Elon, OpenAI [00:23:00] is publishing emails from Sam's, like, his personal text messages to Siobhan, Zelis, or whatever. So, like, we have emails from Ilya saying, this is what we're seeing in OpenAI, and this is why we need to scale up GPUs. And I think it's very prescient in 2016 to write that.[00:23:16] swyx: And so, like, it is exactly, like, basically his insights. It's him and Greg, basically just kind of driving the scaling up of OpenAI, while they're still playing Dota. They're like, no, like, we see the path here.[00:23:30] Alessio: Yeah, and it's funny, yeah, they even mention, you know, we can only train on 1v1 Dota. We need to train on 5v5, and that takes too many GPUs.[00:23:37] Alessio: Yeah,[00:23:37] swyx: and at least for me, I can speak for myself, like, I didn't see the path from Dota to where we are today. I think even, maybe if you ask them, like, they wouldn't necessarily draw a straight line. Yeah,[00:23:47] Alessio: no, definitely. But I think like that was like the whole idea of almost like the RL and we talked about this with Nathan on his podcast.[00:23:55] Alessio: It's like with RL, you can get very good at specific things, but then you can't really like generalize as much. And I [00:24:00] think the language models are like the opposite, which is like, you're going to throw all this data at them and scale them up, but then you really need to drive them home on a specific task later on.[00:24:08] Alessio: And we'll talk about the open AI reinforcement, fine tuning, um, announcement too, and all of that. But yeah, I think like scale is all you need. That's kind of what Elia will be remembered for. And I think just maybe to clarify on like the pre training is over thing that people love to tweet. I think the point of the talk was like everybody, we're scaling these chips, we're scaling the compute, but like the second ingredient which is data is not scaling at the same rate.[00:24:35] Alessio: So it's not necessarily pre training is over. It's kind of like What got us here won't get us there. In his email, he predicted like 10x growth every two years or something like that. And I think maybe now it's like, you know, you can 10x the chips again, but[00:24:49] swyx: I think it's 10x per year. Was it? I don't know.[00:24:52] Alessio: Exactly. And Moore's law is like 2x. So it's like, you know, much faster than that. And yeah, I like the fossil fuel of AI [00:25:00] analogy. It's kind of like, you know, the little background tokens thing. So the OpenAI reinforcement fine tuning is basically like, instead of fine tuning on data, you fine tune on a reward model.[00:25:09] Alessio: So it's basically like, instead of being data driven, it's like task driven. And I think people have tasks to do, they don't really have a lot of data. So I'm curious to see how that changes, how many people fine tune, because I think this is what people run into. It's like, Oh, you can fine tune llama. And it's like, okay, where do I get the data?[00:25:27] Alessio: To fine tune it on, you know, so it's great that we're moving the thing. And then I really like he had this chart where like, you know, the brain mass and the body mass thing is basically like mammals that scaled linearly by brain and body size, and then humans kind of like broke off the slope. So it's almost like maybe the mammal slope is like the pre training slope.[00:25:46] Alessio: And then the post training slope is like the, the human one.[00:25:49] swyx: Yeah. I wonder what the. I mean, we'll know in 10 years, but I wonder what the y axis is for, for Ilya's SSI. We'll try to get them on.[00:25:57] Alessio: Ilya, if you're listening, you're [00:26:00] welcome here. Yeah, and then he had, you know, what comes next, like agent, synthetic data, inference, compute, I thought all of that was like that.[00:26:05] Alessio: I don't[00:26:05] swyx: think he was dropping any alpha there. Yeah, yeah, yeah.[00:26:07] Alessio: Yeah. Any other new reps? Highlights?[00:26:10] swyx: I think that there was comparatively a lot more work. Oh, by the way, I need to plug that, uh, my friend Yi made this, like, little nice paper. Yeah, that was really[00:26:20] swyx: nice.[00:26:20] swyx: Uh, of, uh, of, like, all the, he's, she called it must read papers of 2024.[00:26:26] swyx: So I laid out some of these at NeurIPS, and it was just gone. Like, everyone just picked it up. Because people are dying for, like, little guidance and visualizations And so, uh, I thought it was really super nice that we got there.[00:26:38] Alessio: Should we do a late in space book for each year? Uh, I thought about it. For each year we should.[00:26:42] Alessio: Coffee table book. Yeah. Yeah. Okay. Put it in the will. Hi, Will. By the way, we haven't introduced you. He's our new, you know, general organist, Jamie. You need to[00:26:52] swyx: pull up more things. One thing I saw that, uh, Okay, one fun one, and then one [00:27:00] more general one. So the fun one is this paper on agent collusion. This is a paper on steganography.[00:27:06] swyx: This is secret collusion among AI agents, multi agent deception via steganography. I tried to go to NeurIPS in order to find these kinds of papers because the real reason Like NeurIPS this year has a lottery system. A lot of people actually even go and don't buy tickets because they just go and attend the side events.[00:27:22] swyx: And then also the people who go and end up crowding around the most popular papers, which you already know and already read them before you showed up to NeurIPS. So the only reason you go there is to talk to the paper authors, but there's like something like 10, 000 other. All these papers out there that, you know, are just people's work that they, that they did on the air and they failed to get attention for one reason or another.[00:27:42] swyx: And this was one of them. Uh, it was like all the way at the back. And this is a deep mind paper that actually focuses on collusion between AI agents, uh, by hiding messages in the text that they generate. Uh, so that's what steganography is. So a very simple example would be the first letter of every word.[00:27:57] swyx: If you Pick that out, you know, and the code sends a [00:28:00] different message than that. But something I've always emphasized is to LLMs, we read left to right. LLMs can read up, down, sideways, you know, in random character order. And it's the same to them as it is to us. So if we were ever to get You know, self motivated, underlined LLMs that we're trying to collaborate to take over the planet.[00:28:19] swyx: This would be how they do it. They spread messages among us in the messages that we generate. And he developed a scaling law for that. So he marked, I'm showing it on screen right now, the emergence of this phenomenon. Basically, for example, for Cypher encoding, GPT 2, Lama 2, mixed trial, GPT 3. 5, zero capabilities, and sudden 4.[00:28:40] swyx: And this is the kind of Jason Wei type emergence properties that people kind of look for. I think what made this paper stand out as well, so he developed the benchmark for steganography collusion, and he also focused on shelling point collusion, which is very low coordination. For agreeing on a decoding encoding format, you kind of need to have some [00:29:00] agreement on that.[00:29:00] swyx: But, but shelling point means like very, very low or almost no coordination. So for example, if I, if I ask someone, if the only message I give you is meet me in New York and you're not aware. Or when you would probably meet me at Grand Central Station. That is the Grand Central Station is a shelling point.[00:29:16] swyx: And it's probably somewhere, somewhere during the day. That is the shelling point of New York is Grand Central. To that extent, shelling points for steganography are things like the, the, the common decoding methods that we talked about. It will be interesting at some point in the future when we are worried about alignment.[00:29:30] swyx: It is not interesting today, but it's interesting that DeepMind is already thinking about this.[00:29:36] Alessio: I think that's like one of the hardest things about NeurIPS. It's like the long tail. I[00:29:41] swyx: found a pricing guy. I'm going to feature him on the podcast. Basically, this guy from NVIDIA worked out the optimal pricing for language models.[00:29:51] swyx: It's basically an econometrics paper at NeurIPS, where everyone else is talking about GPUs. And the guy with the GPUs is[00:29:57] Alessio: talking[00:29:57] swyx: about economics instead. [00:30:00] That was the sort of fun one. So the focus I saw is that model papers at NeurIPS are kind of dead. No one really presents models anymore. It's just data sets.[00:30:12] swyx: This is all the grad students are working on. So like there was a data sets track and then I was looking around like, I was like, you don't need a data sets track because every paper is a data sets paper. And so data sets and benchmarks, they're kind of flip sides of the same thing. So Yeah. Cool. Yeah, if you're a grad student, you're a GPU boy, you kind of work on that.[00:30:30] swyx: And then the, the sort of big model that people walk around and pick the ones that they like, and then they use it in their models. And that's, that's kind of how it develops. I, I feel like, um, like, like you didn't last year, you had people like Hao Tian who worked on Lava, which is take Lama and add Vision.[00:30:47] swyx: And then obviously actually I hired him and he added Vision to Grok. Now he's the Vision Grok guy. This year, I don't think there was any of those.[00:30:55] Alessio: What were the most popular, like, orals? Last year it was like the [00:31:00] Mixed Monarch, I think, was like the most attended. Yeah, uh, I need to look it up. Yeah, I mean, if nothing comes to mind, that's also kind of like an answer in a way.[00:31:10] Alessio: But I think last year there was a lot of interest in, like, furthering models and, like, different architectures and all of that.[00:31:16] swyx: I will say that I felt the orals, oral picks this year were not very good. Either that or maybe it's just a So that's the highlight of how I have changed in terms of how I view papers.[00:31:29] swyx: So like, in my estimation, two of the best papers in this year for datasets or data comp and refined web or fine web. These are two actually industrially used papers, not highlighted for a while. I think DCLM got the spotlight, FineWeb didn't even get the spotlight. So like, it's just that the picks were different.[00:31:48] swyx: But one thing that does get a lot of play that a lot of people are debating is the role that's scheduled. This is the schedule free optimizer paper from Meta from Aaron DeFazio. And this [00:32:00] year in the ML community, there's been a lot of chat about shampoo, soap, all the bathroom amenities for optimizing your learning rates.[00:32:08] swyx: And, uh, most people at the big labs are. Who I asked about this, um, say that it's cute, but it's not something that matters. I don't know, but it's something that was discussed and very, very popular. 4Wars[00:32:19] Alessio: of AI recap maybe, just quickly. Um, where do you want to start? Data?[00:32:26] swyx: So to remind people, this is the 4Wars piece that we did as one of our earlier recaps of this year.[00:32:31] swyx: And the belligerents are on the left, journalists, writers, artists, anyone who owns IP basically, New York Times, Stack Overflow, Reddit, Getty, Sarah Silverman, George RR Martin. Yeah, and I think this year we can add Scarlett Johansson to that side of the fence. So anyone suing, open the eye, basically. I actually wanted to get a snapshot of all the lawsuits.[00:32:52] swyx: I'm sure some lawyer can do it. That's the data quality war. On the right hand side, we have the synthetic data people, and I think we talked about Lumna's talk, you know, [00:33:00] really showing how much synthetic data has come along this year. I think there was a bit of a fight between scale. ai and the synthetic data community, because scale.[00:33:09] swyx: ai published a paper saying that synthetic data doesn't work. Surprise, surprise, scale. ai is the leading vendor of non synthetic data. Only[00:33:17] Alessio: cage free annotated data is useful.[00:33:21] swyx: So I think there's some debate going on there, but I don't think it's much debate anymore that at least synthetic data, for the reasons that are blessed in Luna's talk, Makes sense.[00:33:32] swyx: I don't know if you have any perspectives there.[00:33:34] Alessio: I think, again, going back to the reinforcement fine tuning, I think that will change a little bit how people think about it. I think today people mostly use synthetic data, yeah, for distillation and kind of like fine tuning a smaller model from like a larger model.[00:33:46] Alessio: I'm not super aware of how the frontier labs use it outside of like the rephrase, the web thing that Apple also did. But yeah, I think it'll be. Useful. I think like whether or not that gets us the big [00:34:00] next step, I think that's maybe like TBD, you know, I think people love talking about data because it's like a GPU poor, you know, I think, uh, synthetic data is like something that people can do, you know, so they feel more opinionated about it compared to, yeah, the optimizers stuff, which is like,[00:34:17] swyx: they don't[00:34:17] Alessio: really work[00:34:18] swyx: on.[00:34:18] swyx: I think that there is an angle to the reasoning synthetic data. So this year, we covered in the paper club, the star series of papers. So that's star, Q star, V star. It basically helps you to synthesize reasoning steps, or at least distill reasoning steps from a verifier. And if you look at the OpenAI RFT, API that they released, or that they announced, basically they're asking you to submit graders, or they choose from a preset list of graders.[00:34:49] swyx: Basically It feels like a way to create valid synthetic data for them to fine tune their reasoning paths on. Um, so I think that is another angle where it starts to make sense. And [00:35:00] so like, it's very funny that basically all the data quality wars between Let's say the music industry or like the newspaper publishing industry or the textbooks industry on the big labs.[00:35:11] swyx: It's all of the pre training era. And then like the new era, like the reasoning era, like nobody has any problem with all the reasoning, especially because it's all like sort of math and science oriented with, with very reasonable graders. I think the more interesting next step is how does it generalize beyond STEM?[00:35:27] swyx: We've been using O1 for And I would say like for summarization and creative writing and instruction following, I think it's underrated. I started using O1 in our intro songs before we killed the intro songs, but it's very good at writing lyrics. You know, I can actually say like, I think one of the O1 pro demos.[00:35:46] swyx: All of these things that Noam was showing was that, you know, you can write an entire paragraph or three paragraphs without using the letter A, right?[00:35:53] Creative Writing with AI[00:35:53] swyx: So like, like literally just anything instead of token, like not even token level, character level manipulation and [00:36:00] counting and instruction following. It's, uh, it's very, very strong.[00:36:02] swyx: And so no surprises when I ask it to rhyme, uh, and to, to create song lyrics, it's going to do that very much better than in previous models. So I think it's underrated for creative writing.[00:36:11] Alessio: Yeah.[00:36:12] Legal and Ethical Issues in AI[00:36:12] Alessio: What do you think is the rationale that they're going to have in court when they don't show you the thinking traces of O1, but then they want us to, like, they're getting sued for using other publishers data, you know, but then on their end, they're like, well, you shouldn't be using my data to then train your model.[00:36:29] Alessio: So I'm curious to see how that kind of comes. Yeah, I mean, OPA has[00:36:32] swyx: many ways to publish, to punish people without bringing, taking them to court. Already banned ByteDance for distilling their, their info. And so anyone caught distilling the chain of thought will be just disallowed to continue on, on, on the API.[00:36:44] swyx: And it's fine. It's no big deal. Like, I don't even think that's an issue at all, just because the chain of thoughts are pretty well hidden. Like you have to work very, very hard to, to get it to leak. And then even when it leaks the chain of thought, you don't know if it's, if it's [00:37:00] The bigger concern is actually that there's not that much IP hiding behind it, that Cosign, which we talked about, we talked to him on Dev Day, can just fine tune 4.[00:37:13] swyx: 0 to beat 0. 1 Cloud SONET so far is beating O1 on coding tasks without, at least O1 preview, without being a reasoning model, same for Gemini Pro or Gemini 2. 0. So like, how much is reasoning important? How much of a moat is there in this, like, All of these are proprietary sort of training data that they've presumably accomplished.[00:37:34] swyx: Because even DeepSeek was able to do it. And they had, you know, two months notice to do this, to do R1. So, it's actually unclear how much moat there is. Obviously, you know, if you talk to the Strawberry team, they'll be like, yeah, I mean, we spent the last two years doing this. So, we don't know. And it's going to be Interesting because there'll be a lot of noise from people who say they have inference time compute and actually don't because they just have fancy chain of thought.[00:38:00][00:38:00] swyx: And then there's other people who actually do have very good chain of thought. And you will not see them on the same level as OpenAI because OpenAI has invested a lot in building up the mythology of their team. Um, which makes sense. Like the real answer is somewhere in between.[00:38:13] Alessio: Yeah, I think that's kind of like the main data war story developing.[00:38:18] The Data War: GPU Poor vs. GPU Rich[00:38:18] Alessio: GPU poor versus GPU rich. Yeah. Where do you think we are? I think there was, again, going back to like the small model thing, there was like a time in which the GPU poor were kind of like the rebel faction working on like these models that were like open and small and cheap. And I think today people don't really care as much about GPUs anymore.[00:38:37] Alessio: You also see it in the price of the GPUs. Like, you know, that market is kind of like plummeted because there's people don't want to be, they want to be GPU free. They don't even want to be poor. They just want to be, you know, completely without them. Yeah. How do you think about this war? You[00:38:52] swyx: can tell me about this, but like, I feel like the, the appetite for GPU rich startups, like the, you know, the, the funding plan is we will raise 60 million and [00:39:00] we'll give 50 of that to NVIDIA.[00:39:01] swyx: That is gone, right? Like, no one's, no one's pitching that. This was literally the plan, the exact plan of like, I can name like four or five startups, you know, this time last year. So yeah, GPU rich startups gone.[00:39:12] The Rise of GPU Ultra Rich[00:39:12] swyx: But I think like, The GPU ultra rich, the GPU ultra high net worth is still going. So, um, now we're, you know, we had Leopold's essay on the trillion dollar cluster.[00:39:23] swyx: We're not quite there yet. We have multiple labs, um, you know, XAI very famously, you know, Jensen Huang praising them for being. Best boy number one in spinning up 100, 000 GPU cluster in like 12 days or something. So likewise at Meta, likewise at OpenAI, likewise at the other labs as well. So like the GPU ultra rich are going to keep doing that because I think partially it's an article of faith now that you just need it.[00:39:46] swyx: Like you don't even know what it's going to, what you're going to use it for. You just, you just need it. And it makes sense that if, especially if we're going into. More researchy territory than we are. So let's say 2020 to 2023 was [00:40:00] let's scale big models territory because we had GPT 3 in 2020 and we were like, okay, we'll go from 1.[00:40:05] swyx: 75b to 1. 8b, 1. 8t. And that was GPT 3 to GPT 4. Okay, that's done. As far as everyone is concerned, Opus 3. 5 is not coming out, GPT 4. 5 is not coming out, and Gemini 2, we don't have Pro, whatever. We've hit that wall. Maybe I'll call it the 2 trillion perimeter wall. We're not going to 10 trillion. No one thinks it's a good idea, at least from training costs, from the amount of data, or at least the inference.[00:40:36] swyx: Would you pay 10x the price of GPT Probably not. Like, like you want something else that, that is at least more useful. So it makes sense that people are pivoting in terms of their inference paradigm.[00:40:47] Emerging Trends in AI Models[00:40:47] swyx: And so when it's more researchy, then you actually need more just general purpose compute to mess around with, uh, at the exact same time that production deployments of the old, the previous paradigm is still ramping up,[00:40:58] swyx: um,[00:40:58] swyx: uh, pretty aggressively.[00:40:59] swyx: So [00:41:00] it makes sense that the GPU rich are growing. We have now interviewed both together and fireworks and replicates. Uh, we haven't done any scale yet. But I think Amazon, maybe kind of a sleeper one, Amazon, in a sense of like they, at reInvent, I wasn't expecting them to do so well, but they are now a foundation model lab.[00:41:18] swyx: It's kind of interesting. Um, I think, uh, you know, David went over there and started just creating models.[00:41:25] Alessio: Yeah, I mean, that's the power of prepaid contracts. I think like a lot of AWS customers, you know, they do this big reserve instance contracts and now they got to use their money. That's why so many startups.[00:41:37] Alessio: Get bought through the AWS marketplace so they can kind of bundle them together and prefer pricing.[00:41:42] swyx: Okay, so maybe GPU super rich doing very well, GPU middle class dead, and then GPU[00:41:48] Alessio: poor. I mean, my thing is like, everybody should just be GPU rich. There shouldn't really be, even the GPU poorest, it's like, does it really make sense to be GPU poor?[00:41:57] Alessio: Like, if you're GPU poor, you should just use the [00:42:00] cloud. Yes, you know, and I think there might be a future once we kind of like figure out what the size and shape of these models is where like the tiny box and these things come to fruition where like you can be GPU poor at home. But I think today is like, why are you working so hard to like get these models to run on like very small clusters where it's like, It's so cheap to run them.[00:42:21] Alessio: Yeah, yeah,[00:42:22] swyx: yeah. I think mostly people think it's cool. People think it's a stepping stone to scaling up. So they aspire to be GPU rich one day and they're working on new methods. Like news research, like probably the most deep tech thing they've done this year is Distro or whatever the new name is.[00:42:38] swyx: There's a lot of interest in heterogeneous computing, distributed computing. I tend generally to de emphasize that historically, but it may be coming to a time where it is starting to be relevant. I don't know. You know, SF compute launched their compute marketplace this year, and like, who's really using that?[00:42:53] swyx: Like, it's a bunch of small clusters, disparate types of compute, and if you can make that [00:43:00] useful, then that will be very beneficial to the broader community, but maybe still not the source of frontier models. It's just going to be a second tier of compute that is unlocked for people, and that's fine. But yeah, I mean, I think this year, I would say a lot more on device, We are, I now have Apple intelligence on my phone.[00:43:19] swyx: Doesn't do anything apart from summarize my notifications. But still, not bad. Like, it's multi modal.[00:43:25] Alessio: Yeah, the notification summaries are so and so in my experience.[00:43:29] swyx: Yeah, but they add, they add juice to life. And then, um, Chrome Nano, uh, Gemini Nano is coming out in Chrome. Uh, they're still feature flagged, but you can, you can try it now if you, if you use the, uh, the alpha.[00:43:40] swyx: And so, like, I, I think, like, you know, We're getting the sort of GPU poor version of a lot of these things coming out, and I think it's like quite useful. Like Windows as well, rolling out RWKB in sort of every Windows department is super cool. And I think the last thing that I never put in this GPU poor war, that I think I should now, [00:44:00] is the number of startups that are GPU poor but still scaling very well, as sort of wrappers on top of either a foundation model lab, or GPU Cloud.[00:44:10] swyx: GPU Cloud, it would be Suno. Suno, Ramp has rated as one of the top ranked, fastest growing startups of the year. Um, I think the last public number is like zero to 20 million this year in ARR and Suno runs on Moto. So Suno itself is not GPU rich, but they're just doing the training on, on Moto, uh, who we've also talked to on, on the podcast.[00:44:31] swyx: The other one would be Bolt, straight cloud wrapper. And, and, um, Again, another, now they've announced 20 million ARR, which is another step up from our 8 million that we put on the title. So yeah, I mean, it's crazy that all these GPU pores are finding a way while the GPU riches are also finding a way. And then the only failures, I kind of call this the GPU smiling curve, where the edges do well, because you're either close to the machines, and you're like [00:45:00] number one on the machines, or you're like close to the customers, and you're number one on the customer side.[00:45:03] swyx: And the people who are in the middle. Inflection, um, character, didn't do that great. I think character did the best of all of them. Like, you have a note in here that we apparently said that character's price tag was[00:45:15] Alessio: 1B.[00:45:15] swyx: Did I say that?[00:45:16] Alessio: Yeah. You said Google should just buy them for 1B. I thought it was a crazy number.[00:45:20] Alessio: Then they paid 2. 7 billion. I mean, for like,[00:45:22] swyx: yeah.[00:45:22] Alessio: What do you pay for node? Like, I don't know what the game world was like. Maybe the starting price was 1B. I mean, whatever it was, it worked out for everybody involved.[00:45:31] The Multi-Modality War[00:45:31] Alessio: Multimodality war. And this one, we never had text to video in the first version, which now is the hottest.[00:45:37] swyx: Yeah, I would say it's a subset of image, but yes.[00:45:40] Alessio: Yeah, well, but I think at the time it wasn't really something people were doing, and now we had VO2 just came out yesterday. Uh, Sora was released last month, last week. I've not tried Sora, because the day that I tried, it wasn't, yeah. I[00:45:54] swyx: think it's generally available now, you can go to Sora.[00:45:56] swyx: com and try it. Yeah, they had[00:45:58] Alessio: the outage. Which I [00:46:00] think also played a part into it. Small things. Yeah. What's the other model that you posted today that was on Replicate? Video or OneLive?[00:46:08] swyx: Yeah. Very, very nondescript name, but it is from Minimax, which I think is a Chinese lab. The Chinese labs do surprisingly well at the video models.[00:46:20] swyx: I'm not sure it's actually Chinese. I don't know. Hold me up to that. Yep. China. It's good. Yeah, the Chinese love video. What can I say? They have a lot of training data for video. Or a more relaxed regulatory environment.[00:46:37] Alessio: Uh, well, sure, in some way. Yeah, I don't think there's much else there. I think like, you know, on the image side, I think it's still open.[00:46:45] Alessio: Yeah, I mean,[00:46:46] swyx: 11labs is now a unicorn. So basically, what is multi modality war? Multi modality war is, do you specialize in a single modality, right? Or do you have GodModel that does all the modalities? So this is [00:47:00] definitely still going, in a sense of 11 labs, you know, now Unicorn, PicoLabs doing well, they launched Pico 2.[00:47:06] swyx: 0 recently, HeyGen, I think has reached 100 million ARR, Assembly, I don't know, but they have billboards all over the place, so I assume they're doing very, very well. So these are all specialist models, specialist models and specialist startups. And then there's the big labs who are doing the sort of all in one play.[00:47:24] swyx: And then here I would highlight Gemini 2 for having native image output. Have you seen the demos? Um, yeah, it's, it's hard to keep up. Literally they launched this last week and a shout out to Paige Bailey, who came to the Latent Space event to demo on the day of launch. And she wasn't prepared. She was just like, I'm just going to show you.[00:47:43] swyx: So they have voice. They have, you know, obviously image input, and then they obviously can code gen and all that. But the new one that OpenAI and Meta both have but they haven't launched yet is image output. So you can literally, um, I think their demo video was that you put in an image of a [00:48:00] car, and you ask for minor modifications to that car.[00:48:02] swyx: They can generate you that modification exactly as you asked. So there's no need for the stable diffusion or comfy UI workflow of like mask here and then like infill there in paint there and all that, all that stuff. This is small model nonsense. Big model people are like, huh, we got you in as everything in the transformer.[00:48:21] swyx: This is the multimodality war, which is, do you, do you bet on the God model or do you string together a whole bunch of, uh, Small models like a, like a chump. Yeah,[00:48:29] Alessio: I don't know, man. Yeah, that would be interesting. I mean, obviously I use Midjourney for all of our thumbnails. Um, they've been doing a ton on the product, I would say.[00:48:38] Alessio: They launched a new Midjourney editor thing. They've been doing a ton. Because I think, yeah, the motto is kind of like, Maybe, you know, people say black forest, the black forest models are better than mid journey on a pixel by pixel basis. But I think when you put it, put it together, have you tried[00:48:53] swyx: the same problems on black forest?[00:48:55] Alessio: Yes. But the problem is just like, you know, on black forest, it generates one image. And then it's like, you got to [00:49:00] regenerate. You don't have all these like UI things. Like what I do, no, but it's like time issue, you know, it's like a mid[00:49:06] swyx: journey. Call the API four times.[00:49:08] Alessio: No, but then there's no like variate.[00:49:10] Alessio: Like the good thing about mid journey is like, you just go in there and you're cooking. There's a lot of stuff that just makes it really easy. And I think people underestimate that. Like, it's not really a skill issue, because I'm paying mid journey, so it's a Black Forest skill issue, because I'm not paying them, you know?[00:49:24] Alessio: Yeah,[00:49:25] swyx: so, okay, so, uh, this is a UX thing, right? Like, you, you, you understand that, at least, we think that Black Forest should be able to do all that stuff. I will also shout out, ReCraft has come out, uh, on top of the image arena that, uh, artificial analysis has done, has apparently, uh, Flux's place. Is this still true?[00:49:41] swyx: So, Artificial Analysis is now a company. I highlighted them I think in one of the early AI Newses of the year. And they have launched a whole bunch of arenas. So, they're trying to take on LM Arena, Anastasios and crew. And they have an image arena. Oh yeah, Recraft v3 is now beating Flux 1. 1. Which is very surprising [00:50:00] because Flux And Black Forest Labs are the old stable diffusion crew who left stability after, um, the management issues.[00:50:06] swyx: So Recurve has come from nowhere to be the top image model. Uh, very, very strange. I would also highlight that Grok has now launched Aurora, which is, it's very interesting dynamics between Grok and Black Forest Labs because Grok's images were originally launched, uh, in partnership with Black Forest Labs as a, as a thin wrapper.[00:50:24] swyx: And then Grok was like, no, we'll make our own. And so they've made their own. I don't know, there are no APIs or benchmarks about it. They just announced it. So yeah, that's the multi modality war. I would say that so far, the small model, the dedicated model people are winning, because they are just focused on their tasks.[00:50:42] swyx: But the big model, People are always catching up. And the moment I saw the Gemini 2 demo of image editing, where I can put in an image and just request it and it does, that's how AI should work. Not like a whole bunch of complicated steps. So it really is something. And I think one frontier that we haven't [00:51:00] seen this year, like obviously video has done very well, and it will continue to grow.[00:51:03] swyx: You know, we only have Sora Turbo today, but at some point we'll get full Sora. Oh, at least the Hollywood Labs will get Fulsora. We haven't seen video to audio, or video synced to audio. And so the researchers that I talked to are already starting to talk about that as the next frontier. But there's still maybe like five more years of video left to actually be Soda.[00:51:23] swyx: I would say that Gemini's approach Compared to OpenAI, Gemini seems, or DeepMind's approach to video seems a lot more fully fledged than OpenAI. Because if you look at the ICML recap that I published that so far nobody has listened to, um, that people have listened to it. It's just a different, definitely different audience.[00:51:43] swyx: It's only seven hours long. Why are people not listening? It's like everything in Uh, so, so DeepMind has, is working on Genie. They also launched Genie 2 and VideoPoet. So, like, they have maybe four years advantage on world modeling that OpenAI does not have. Because OpenAI basically only started [00:52:00] Diffusion Transformers last year, you know, when they hired, uh, Bill Peebles.[00:52:03] swyx: So, DeepMind has, has a bit of advantage here, I would say, in, in, in showing, like, the reason that VO2, while one, They cherry pick their videos. So obviously it looks better than Sora, but the reason I would believe that VO2, uh, when it's fully launched will do very well is because they have all this background work in video that they've done for years.[00:52:22] swyx: Like, like last year's NeurIPS, I already was interviewing some of their video people. I forget their model name, but for, for people who are dedicated fans, they can go to NeurIPS 2023 and see, see that paper.[00:52:32] Alessio: And then last but not least, the LLMOS. We renamed it to Ragops, formerly known as[00:52:39] swyx: Ragops War. I put the latest chart on the Braintrust episode.[00:52:43] swyx: I think I'm going to separate these essays from the episode notes. So the reason I used to do that, by the way, is because I wanted to show up on Hacker News. I wanted the podcast to show up on Hacker News. So I always put an essay inside of there because Hacker News people like to read and not listen.[00:52:58] Alessio: So episode essays,[00:52:59] swyx: I remember [00:53:00] purchasing them separately. You say Lanchain Llama Index is still growing.[00:53:03] Alessio: Yeah, so I looked at the PyPy stats, you know. I don't care about stars. On PyPy you see Do you want to share your screen? Yes. I prefer to look at actual downloads, not at stars on GitHub. So if you look at, you know, Lanchain still growing.[00:53:20] Alessio: These are the last six months. Llama Index still growing. What I've basically seen is like things that, One, obviously these things have A commercial product. So there's like people buying this and sticking with it versus kind of hopping in between things versus, you know, for example, crew AI, not really growing as much.[00:53:38] Alessio: The stars are growing. If you look on GitHub, like the stars are growing, but kind of like the usage is kind of like flat. In the last six months, have they done some[00:53:4

Whatever result was obtained in Satya-yuga by meditating on Viṣṇu, in Tretā-yuga by performing sacrifices, and in Dvāpara-yuga by serving the Lord's lotus feet can be obtained in Kali-yuga simply by chanting the Hare Kṛṣṇa mahā-mantra. ( SB 12.3.52) https://vedabase.io/en/library/sb/12/3/52/ ------------------------------------------------------------ To connect with His Grace Vaiśeṣika Dāsa, please visit https://www.fanthespark.com/next-steps/ask-vaisesika-dasa/ ------------------------------------------------------------ Add to your wisdom literature collection: https://www.bbtacademic.com/books/ (USA only) https://thefourquestionsbook.com/ ------------------------------------------------------------ Join us live on Facebook: https://www.facebook.com/FanTheSpark/ Podcasts: https://podcasts.apple.com/us/podcast/sound-bhakti/id1132423868 For the latest videos, subscribe https://www.youtube.com/@FanTheSpark For the latest in SoundCloud: https://soundcloud.com/fan-the-spark ------------------------------------------------------------ #vaisesikaprabhu #vaisesikadasa #vaisesikaprabhulectures #spirituality #bhaktiyoga #krishna #spiritualpurposeoflife #krishnaspirituality #spiritualusachannel #whybhaktiisimportant #whyspiritualityisimportant #vaisesika #spiritualconnection #thepowerofspiritualstudy #selfrealization #spirituallectures #spiritualstudy #spiritualexperience #spiritualpurposeoflife #spiritualquestions #spiritualquestionsanswered #trendingspiritualtopics #fanthespark #spiritualpowerofmeditation #spiritualgrowthlessons #secretsofspirituality #spiritualteachersonyoutube #spiritualhabits #spiritualclarity #bhagavadgita #srimadbhagavatam #spiritualbeings #kttvg #keepthetranscendentalvibrationgoing #spiritualpurpose

BG2Pod with Brad Gerstner and Bill Gurley : Read the notes at at podcastnotes.org. Don't forget to subscribe for free to our newsletter, the top 10 ideas of the week, every Monday --------- Open Source bi-weekly convo w/ Bill Gurley and Brad Gerstner on all things tech, markets, investing & capitalism. This week they are joined by Satya Nadella, CEO of Microsoft, to discuss becoming Microsoft's CEO, Advice for CEO's, Microsoft's Investment in OpenAI, Legacy Search, Ten Blue Links, Consumer and Enterprise AI, The Future of AI Agents, Infinite Memory, CoPilot, Microsoft's Capital Expenditure, Open AI's future, AI safety & more. Enjoy another episode of BG2. Timestamps: (00:00) Intro (01:31) Becoming Microsoft CEO (06:42) Satya's Memo to CEO Committee  (10:42) Satya's Advantage as a CEO (11:34) Advice for CEOs (15:01) Microsoft's Investment in OpenAI (19:42) AI Arms Race (23:55) Legacy Search and Consumer AI (28:07) The Future of AI Agents (38:32) Near-Infinite Memory (39:47) Copilot Approach to AI Adoption (50:26) Leveraging AI within Microsoft (56:03) CapX (01:00:20) The Cost of Model Scaling and Inference (01:15:15) Open AI Conversion to Profit (01:18:05) Next Steps for OpenAI (01:19:43) Open vs. Closed and Safe AI Available on Apple, Spotify, www.bg2pod.com Follow: Brad Gerstner @altcap Bill Gurley @bgurley BG2 Pod @bg2pod #BillGurley #BradGerstner #Bg2Pod

BG2Pod with Brad Gerstner and Bill Gurley Key Takeaways  The basics of business strategy: Recognize your structural position in the market, understand where you have permission in the market from your partners and customers who want you to win, and then do those obvious things first “I think the company of this generation has already been created, which is OpenAI.” – Satya Nadella To properly evaluate the AI arms race, you have to analyze it structurally by layer The year 2025 will be the year of infinite AI memory; the next 10x function of ChatGPT is its having a persistent memory combined with it being able to take action on our behalf Increasingly, Mag-7 capital expenditure resembles industrial companies more so than traditional software companies Continued advancements in the AI tier may collapse the traditional application categories How model capability will increase: Pre-training and test-time sampling create the tokens that can go back into pre-training, which creates even more powerful models that can then run on your inference How to be successful in life and business:Pattern-match periods in which you are successful and in which you are not, then do more of the behaviors that you did during your successful periods Read the full notes @ podcastnotes.orgOpen Source bi-weekly convo w/ Bill Gurley and Brad Gerstner on all things tech, markets, investing & capitalism. This week they are joined by Satya Nadella, CEO of Microsoft, to discuss becoming Microsoft's CEO, Advice for CEO's, Microsoft's Investment in OpenAI, Legacy Search, Ten Blue Links, Consumer and Enterprise AI, The Future of AI Agents, Infinite Memory, CoPilot, Microsoft's Capital Expenditure, Open AI's future, AI safety & more. Enjoy another episode of BG2. Timestamps: (00:00) Intro (01:31) Becoming Microsoft CEO (06:42) Satya's Memo to CEO Committee  (10:42) Satya's Advantage as a CEO (11:34) Advice for CEOs (15:01) Microsoft's Investment in OpenAI (19:42) AI Arms Race (23:55) Legacy Search and Consumer AI (28:07) The Future of AI Agents (38:32) Near-Infinite Memory (39:47) Copilot Approach to AI Adoption (50:26) Leveraging AI within Microsoft (56:03) CapX (01:00:20) The Cost of Model Scaling and Inference (01:15:15) Open AI Conversion to Profit (01:18:05) Next Steps for OpenAI (01:19:43) Open vs. Closed and Safe AI Available on Apple, Spotify, www.bg2pod.com Follow: Brad Gerstner @altcap Bill Gurley @bgurley BG2 Pod @bg2pod #BillGurley #BradGerstner #Bg2Pod

“Whatever result was obtained in Satya-yuga by meditating on Vishnu, in Treta-yuga by performing sacrifices and in Dvapara-yuga by serving the Lord's lotus feet can also be obtained in Kali-yuga simply by chanting the Hare Krishna maha-mantra.” (Shrimad Bhagavatam, 12.3.52)

kṛte yad dhyāyato viṣṇuṁ tretāyāṁ yajato makhaiḥ dvāpare paricaryāyāṁ kalau tad dhari-kīrtanāt Whatever result was obtained in Satya-yuga by meditating on Viṣṇu, in Tretā-yuga by performing sacrifices, and in Dvāpara-yuga by serving the Lord's lotus feet can be obtained in Kali-yuga simply by chanting the Hare Kṛṣṇa mahā-mantra. (SB 12.3.52) https://vedabase.io/en/library/sb/12/3/52/ ------------------------------------------------------------ To connect with His Grace Vaiśeṣika Dāsa, please visit https://www.fanthespark.com/next-steps/ask-vaisesika-dasa/ ------------------------------------------------------------ Add to your wisdom literature collection: https://www.bbtacademic.com/books/ (USA only) https://thefourquestionsbook.com/ ------------------------------------------------------------ Join us live on Facebook: https://www.facebook.com/FanTheSpark/ Podcasts: https://podcasts.apple.com/us/podcast/sound-bhakti/id1132423868 For the latest videos, subscribe https://www.youtube.com/@FanTheSpark For the latest in SoundCloud: https://soundcloud.com/fan-the-spark ------------------------------------------------------------ #vaisesikaprabhu #vaisesikadasa #vaisesikaprabhulectures #spirituality #bhaktiyoga #krishna #spiritualpurposeoflife #krishnaspirituality #spiritualusachannel #whybhaktiisimportant #whyspiritualityisimportant #vaisesika #spiritualconnection #thepowerofspiritualstudy #selfrealization #spirituallectures #spiritualstudy #spiritualexperience #spiritualpurposeoflife #spiritualquestions #spiritualquestionsanswered #trendingspiritualtopics #fanthespark #spiritualpowerofmeditation #spiritualgrowthlessons #secretsofspirituality #spiritualteachersonyoutube #spiritualhabits #spiritualclarity #bhagavadgita #srimadbhagavatam #spiritualbeings #kttvg #keepthetranscendentalvibrationgoing #spiritualpurpose

Episode 472 - Natasha Sharma - Beneath Divided Skies - Based on the ‘Rescue and Restoration Act of 1949'About the authorNatasha Sharma is a freelance software developer who moonlights as a writer. She has been a voracious consumer of the written word since her childhood and is never without a book (or a Kindle) by her side. A true blue feminist, she is passionate about creating awareness on gender inequality and other social issues. At the same time, her work displays a characteristic streak of cleverness and wit. Her stories have been published in several online magazines like eShe, Reading Frame, Thinking Pen, eFictionProject, Penmancy, amongst others. Her op-ed pieces and other articles can be found on leading web portals such as MoneyControl, SheThePeople, and Women'sWeb.Natasha was also the proud participant of the Humanity Project by Tacenda Publication, which has fetched them a mention in the Asia Book of Records.Last year, her winning story was featured in the eShe and Embassy Books join venture, a paperback, Everything Changed After That. In 2022, her winning stories have been featured in Existing Loudly (volume 3) by The Write Order and The Runner's Tribe by The Impish Lass.Book: Beneath Divided Skies - In 1947, Satya, a teenager, is orphaned by the Partition, and flees to India to join a clandestine organization rescuing abducted women. Risking her life in undercover missions, Satya's unwavering determination reflects the unyielding resilience of the human spirit. She finds purpose and unexpected love with a Pakistani officer. As she battles for women's freedom, Satya faces an agonizing choice—will duty to her country overshadow her heart's desire, or can she reconcile love and purpose amidst the chaos?Based on the ‘Rescue and Restoration Act of 1949', Beneath Divided Skies explores the lives of social workers, women, and the hard choices they face.https://a.co/d/5hqs1A7Support the show___https://livingthenextchapter.com/podcast produced by: https://truemediasolutions.ca/Coffee Refills are always appreciated, refill Dave's cup here, and thanks!https://buymeacoffee.com/truemediaca

While there are plenty of doctors who find incredible solutions for their patients without living through the experience themselves, there's something special that happens when the solution was developed by someone who has experienced the same struggle too. My guest today is Dr. Satya Sardonicus, a chiropractor and expert in the neurobiology of stress. She developed the NeuroFascial Flow Method as a way to save her own life after more than a decade of suffering from a crazy list of symptoms. Symptoms like chronic fatigue, anxiety and depression, POTS, fibromyalgia, drop attacks, sensory overload and more. The root cause of her symptoms ended up being Cerebellar Tonsillar Ectopia (CTE) or chiari - a brain herniation that put her nervous system into a constant state of fight or flight and drained her body's resources. So here's the interesting part - today she lives 95% symptom free but her brain might actually still be herniated. So one of the things we're going to discuss that will be interesting to everyone listening is “how important is it to find the root cause of your illness”? Dr. Satya (as she's known by her more than 50K TikTok followers) has been sharing tips for free on social media and joins us today to talk about how to help your brain become more receptive to change and healing. 3 Top Tips  1 easy somatic practice to interrupt a stress loop in its tracks The 5 steps to facilitate change that actually lasts (and doesn't boomerang your symptoms worse) An alternative framework to understand anxiety + depression as your brain doing something ADAPTIVE and intelligent - not broken Social Media https://go.drsatyawellness.com/waitlist  https://www.tiktok.com/@drsatyawellness  https://www.instagram.com/drsatyawellness/ https://go.drsatyawellness.com/waitlist NeuroFascial Flow Method, healing chronic illness, anxiety relief, trauma healing, chronic pain, self healing

Episode SummaryIn this insightful episode of the SaaS Sessions Podcast, we down with Satya Ganni, the CEO and Founder of Userflow and Beamer. Satya shares his journey as a serial entrepreneur, having founded six companies before leading Userflow and Beamer, two innovative platforms revolutionizing user onboarding and product engagement. We dive into how AI is reshaping Product-Led Growth (PLG), strategies for leveraging data effectively, and the future of PLG and Product-Led Sales (PLS).Key TakeawaysSatya's Journey in SaaS:Over two decades of experience in SaaS as a founder, operator, and executive.The mindset of a problem solver is the driving force behind his entrepreneurial success.AI's Role in PLG:AI influences every stage of the PLG funnel, from acquisition to engagement.Personalization powered by AI can reduce CAC and improve time-to-value.Examples of effective AI use in PLG include content generation, user segmentation, and in-app personalization.The Importance of Data in PLG:PLG's success relies heavily on combining formographic, behavioral, and in-app data.Tools like product analytics, session replays, and experimentation platforms are key to unlocking actionable insights.Challenges arise with inaccurate or incomplete data, but the right systems can mitigate these issues.Challenges and Misconceptions in PLG:PLG requires a massive market and some elements of virality to thrive.Many SaaS companies are in the early stages of adopting personalization and leveraging AI to its full potential.Integration of data-driven tools and workflows is critical for success.Future of PLG:Hybrid models combining PLG and PLS (Product-Led Sales) will dominate.AI-driven precision will empower sales teams to nudge users toward upgrades and drive conversions.PLG will evolve to emulate the personalization seen in B2C platforms like Instagram and Amazon.Lightning Round InsightsBiggest Lesson: The value of having a mentor or coach early in his career to accelerate growth.Book Recommendation: Thinking, Fast and Slow by Daniel Kahneman—a must-read for understanding decision-making.About Userflow and BeamerUserflow: A user onboarding and guides platform that simplifies the journey for SaaS and digital-first businesses.Beamer: A product adoption and engagement platform designed for product leaders and marketers to drive engagement.Connect with SatyaWebsite: Userflow | BeamerLinkedIn: Satya GanniSubscribe & Stay ConnectedDon't miss upcoming episodes! Subscribe to SaaS Sessions Podcast on your favorite platform and follow us for more insights from SaaS leaders.Visit our website - https://saassessions.com/Connect with me on LinkedIn - https://www.linkedin.com/in/sunilneurgaonkar/

What even is truth these days? Explore the second Yama in the Yoga Ethics For Modern Living series through the actions of Mike Tyson, Jake Paul, Joan Didion, through the lens of instagram filters, and the lie of being a "nice person". Truth hurts, but it hurts so good.

In this season of Live Vedanta, we are sharing insights on Courageous Caregiving through Vibhishana Gita. This week, we're exploring satya, or integrity. How can we align our thoughts, words, and actions to stay true?These discourses are from our Parenting Culture community, a space for seekers striving to be better in their caregiving responsibilities through the practice of self-development. You can always join Parenting Culture live on Mondays or catch up on the previous episode.For those on the journey of self-development, Chinmaya Mission Niagara provides a community forum to listen, reflect, and contemplate. Follow us on Instagram and Facebook for more updates about upcoming live workshops, courses, and more! Chinmaya Mission is an international non-profit organization working to transform individuals through the knowledge of Vedanta.

Hey there, happy Wednesday! This week's episode is coming to you straight from my chilly office nook because, well, it's just too noisy everywhere else. But trust me, it's worth it because I have a special guest who's here to shake things up for all of us struggling with mindfulness and stress management. Meet Dr. Satya Sardonicus a chiropractor and neurobiology expert who's been through the wringer with her own health challenges. She's here to share how she overcame her symptoms and developed the Neurofascial Flow Method, a game-changer for many, especially those on the autism spectrum. In this episode, Dr. Satya dives deep into understanding the nervous system, why traditional mindfulness might not be cutting it, and how her method can help bring your body back to a state of balance. She even shares some simple techniques you can try at home to help calm your nervous system and release trauma. Plus, she's got online programs and resources that you can easily access for more in-depth guidance. If you've been feeling stuck in a cycle of stress and anxiety, this conversation might just be the key to unlocking a new path to healing. So grab your headphones, settle in, and let's explore how to bring some peace and balance back into our lives. Thanks for tuning in, and a huge thank you to Dr. Satya for sharing her wisdom with us. Stay curious, and I'll catch you next week with more insights and stories!   https://drsatyawellness.com/ https://www.instagram.com/drsatyawellness/ https://www.linkedin.com/in/drsatyasardonicus/ https://www.tiktok.com/@drsatyawellness  

Tawny and Lisa talk with Satya Doyle Byock, LPC, about her book, QUARTERLIFE: The Search for Self in Early Adulthood. Satya is a practicing Jungian psychotherapist in Portland and the director of The Salome Institute of Jungian Studies, where she regularly teaches online seminars. They talk about the changes that happen in early adulthood, as well as how find a therapist despite all of the challenges, including insurance. Music Minute features Bill Evans, Maggie Rogers, and Beyonce Find all things Satya on her website.  Buy QUARTERLIFE: The Search for Self in Early Adulthood  Sign up for Satya's Substack newsletter and check out Why You Struggle to Find a Therapist  Preorder The Sobriety Deck Order Tawny's book, DRY HUMPING: A Guide to Dating, Relating, and Hooking Up Without the Booze Sign up for "Beyond Liquid Courage" Order Tawny's new NA drink, (parentheses)            `Purchase Lisa's memoir, Girl Walks Out of a Bar

While Lamorne is off being Emmy nominated, Hannah chats with the iconic Shirvang, aka Satya Bhabha. He describes what it was like having THE Taylor Swift literally sweep him off his feet and more in this week's Loft Meeting.See omnystudio.com/listener for privacy information.