Strange Loop Podcast

Episoade

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  Tyler Cowen | AI will change everything, just not all at once 12.08.2026 48min

  AI is advancing at extraordinary speed. Yet Tyler Cowen thinks the transformation of the economy will be slower, messier, and more human than most forecasts suggest. Intelligence may be cheaper than ever, but will organizations, workers, regulators, and institutions learn how to use it? In this episode of Strange Loop, Tyler joins Sana founder Joel Hellermark to discuss why AI productivity is still hard to see in the macro data, why coding and bioscience will change first, and why the greatest gains may be impossible to capture in GDP. They explore the future of work, human initiative and charisma, AI adoption in companies, talent, the creative friction behind great groups like the Beatles, and Tyler’s belief that AI could help bring beauty back to the built world.Transcript: https://sanalabs.com/strange-loop/tyler-cowenTimestamps(00:00) Living in the pre-AI and post-AI worlds(00:25) Why AI has not shown up in productivity data(01:40) The human bottleneck and institutional inertia(04:06) Call centers, agents, and slow sector-by-sector adoption(05:12) Why India may become an AI implementation leader(06:50) What becomes valuable when intelligence gets cheap(09:17) Electricity, growth statistics, and measuring AI’s real impact(12:11) Initiative, charisma, and the future of human work(14:33) Diminishing returns to intelligence and the bottleneck of experiments(17:12) How companies will actually adopt AI(18:53) Coding, bioscience, and curing disease(20:17) Why Tyler is changing his own career(24:01) How Tyler uses AI models in daily life(26:20) Training AI with a positive vision(29:15) How Tyler spots exceptional talent(32:21) Great groups, the Beatles, and creative friction(37:00) New aesthetics and the crisis of ugly buildings(43:41) Rapid-fire questions on books, economics, and the futureAbout Strange LoopStrange Loop is a podcast about how artificial intelligence is reshaping the systems we live and work in. Each episode features deep, unscripted conversations with thinkers and builders reimagining intelligence, leadership, and the architectures of progress. The goal is not just to follow AI’s trajectory, but to question the assumptions guiding it.Subscribe for more conversations at the edge of AI and human knowledge.
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  Ethan Mollick | The long way is the shortcut: experiments over AI playbooks 09.07.2026 54min

  AI can now pass Olympiad exams and run hours‑long tasks, yet still fumbles basic questions and blows up office workflows. Ethan Mollick calls this the “jagged frontier” and argues that understanding it is the new job of every leader.In this Strange Loop episode, Ethan and Lauren Crichton dig into agents at work, the quiet death of entry‑level jobs, and why embracing AI’s weirdness, rather than forcing it into old IT playbooks, may be the difference between genuine transformation and very expensive busywork.Timestamps(00:00) Nobody knows anything: three eras of AI(03:40) From co‑intelligence to agents and long‑running work(06:55) The jagged frontier: where AI is brilliant and where it breaks(09:02) Wizards, opacity, and why AI decisions feel like magic(11:27) Recursive self‑improvement, takeoff risk, and anthropomorphizing AIs(13:56) Organizational context, implicit knowledge, and limits of agents(16:02) StrongDM’s “software dark factory” and full‑stack AI coding(18:19) Experts, apprenticeship collapse, and training the next generation(21:02) Agency, incentives, and adding the right kind of friction(22:46) AI in education: tutors, cheating, and real learning(24:48) Formal assessment at work and the trap of productivity‑only KPIs(30:47) IT departments, de‑weirding AI, and why playbooks fail(34:34) Tokens, costs, and new metrics for innovation(37:36) Interfaces as the bottleneck and designing beyond chat(41:29) Deep knowledge, wide knowledge, taste, and agency(43:06) Jobs, the O‑ring model, and living through chaotic transitions(46:26) Management as an AI superpower and the rise of builders(48:34) Rethinking org charts, cross‑functional teams, and agents(50:36) Parenting with AI and raising flexible kids(52:31) Unanswered questions, exponential curves, and what Ethan’s proud ofAbout Strange LoopStrange Loop is a podcast about how artificial intelligence is reshaping the systems we live and work in. Each episode features deep, unscripted conversations with thinkers and builders reimagining intelligence, leadership, and the architectures of progress. The goal is not just to follow AI’s trajectory, but to question the assumptions guiding it.Subscribe for more conversations at the edge of AI and human knowledge. Find Ethan: https://www.linkedin.com/in/emollick/Find Lauren: linkedin.com/in/lauren-crichton-1aa82a54 
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  Anton Osika | On building Lovable: AI for the 99% 17.06.2026 28min

  Lovable founder and former Sana engineer Anton Osika joins Joel Hellermark to share how the most successful AI tools of today are turning non‑developers into product builders and million‑dollar founders. They dig into the origins of Lovable, the coming “SaaSpocalypse” for SaaS, and why the real differentiator now is taste, problem selection, and designing software that feels good to use. If you think AI is a developer story, this episode will change your mind.Transcript: https://sanalabs.com/strange-loop/anton-osikaTimestamps(00:00) From Sana’s first employee to founder of Lovable(01:30) Physics, neuroscience, and the puzzle of intelligence(04:00) Early AI at Sana: modeling student learning with neural nets(06:00) GPT‑Engineer and the “build me a snake game” demo(08:30) Lovable’s mission: giving the 99% a technical co‑founder(11:30) Instant apps vs long specs: why fast feedback beats requirements docs(14:30) 40M builders, the return of the polymath, and the skills that now matter(17:00) Creativity over addiction: designing software for self‑actualization(19:30) AI as a cognitive industrial revolution and the coming “SaaSpocalypse”(22:00) Case study: replatforming a global real‑estate stack on Lovable(24:30) CIO playbook, multi‑agent futures, and Anton’s predictions for AI and societyAbout Strange LoopStrange Loop is a podcast about how artificial intelligence is reshaping the systems we live and work in. Each episode features deep, unscripted conversations with thinkers and builders reimagining intelligence, leadership, and the architectures of progress. The goal is not just to follow AI’s trajectory, but to question the assumptions guiding it.Subscribe for more conversations at the edge of AI and human knowledge. Find Anton: https://www.linkedin.com/in/antonosika/  Find Joel: https://www.linkedin.com/in/joel-hellermark/
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  David Deutsch | AGI, the origins of quantum computing, and the future of humanity 03.09.2025 57min

  David Deutsch is the founding father of quantum computing. In this episode of Strange Loop, David joins Sana’s founder and CEO Joel Hellermark and Spotify’s Co-President Gustav Söderström to unpack his lifelong quest to explore the furthest reachings of human understanding. Together, they explore how knowledge creation makes humans unique in the cosmos, why current AI systems fundamentally differ from genuine intelligence, and what quantum mechanics reveals about the nature of explanation itself.What's in this episodeHow human creativity evolved for cultural knowledge transmission, not innovationWhy large language models and AGI operate on fundamentally different principlesThe relationship between quantum computing and the computational nature of realityWhy having billions of AGI copies wouldn't accelerate progress as expectedHow knowledge creation violates the basic physical rule that "might makes right"The distinction between tools that enhance human intelligence and systems that replace itWhy humans are cosmically significant despite appearing small and fragileWhat questions Deutsch most wants answered about consciousness and artificial general intelligenceThe future of humanity across cosmic timescales and what makes progress sustainable—Transcript: https://sanalabs.com/strange-loop/david-deutsch—About Strange LoopStrange Loop is a podcast about how artificial intelligence is reshaping the systems we live and work in. Each episode features deep, unscripted conversations with thinkers and builders reimagining intelligence, leadership, and the architectures of progress. The goal is not just to follow AI’s trajectory, but to question the assumptions guiding it.Subscribe for more conversations at the edge of AI and human knowledge.—Timestamps(00:00) Why uniqueness creates value: The law of comparative advantage(04:15) How creativity evolved for cultural transmission, not innovation(09:39) AI vs AGI: Why accelerating knowledge discovery isn't straightforward(13:40) AGI as persons: Rights, property, and the economics of artificial minds(20:05) What AI actually does vs human creativity: Beyond the Turing test(25:15) Quantum computing: What problems really need quantum solutions(29:25) Quantum cryptography and the future of data security(33:06) Is the universe computational? Cellular automata and reality(42:37) The biggest questions Deutsch wants answered about AGI and physics(51:32) Greatest moments of joy in research: The fun criterion —Where to find DavidWebsite: daviddeutsch.org.ukX: https://x.com/daviddeutschoxfWhere to find GustavLinkedIn: https://www.linkedin.com/in/gustavsoderstrom/X: https://x.com/gustavsWhere to find JoelLinkedIn: https://www.linkedin.com/in/joel-hellermark/X: https://x.com/joelhellermark
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  Episode Preview | David Deutsch 02.09.2025

  The founding father of quantum computing David Deutsch sits down with Spotify's Co-President Gustav Söderström and Sana's founder and CEO Joel Hellermark at David's home in Oxfordshire to discuss the nature of knowledge, creativity, AGI, and what truly makes humans unique in the universe.Subscribe to get the full episode as soon as it launches.
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  Garry Kasparov | Lessons from chess in an AI world 09.07.2025 45min

  Garry Kasparov knows what it means to play at the edge of human potential. In this episode of Strange Loop, the legendary chess champion and human rights advocate joins Sana founder and CEO Joel Hellermark to explore how chess became the proving ground for AI, why intuition and creativity still matter, and what happens as machines begin to outpace their creators.Together, they dive into the psychological drama of elite competition, the dangers and opportunities of AI in the real world, and the lessons chess offers for the future of knowledge, work, and human agency.What’s in this episodeHow chess became the original proving ground for artificial intelligenceThe psychological edge that separates champions from the restWhy human creativity and intuition still matter in an AI-powered worldThe risks and rewards of rapid technological progressLessons from Kasparov’s own reinvention beyond chessWhat the history of chess vs. machines reveals about the future of knowledge workDefining the human advantage in an age of superhuman computationWhy freedom and adaptability are essential for progress—Transcript: https://sanalabs.com/strange-loop/garry-kasparov—About Strange LoopStrange Loop is a podcast about how artificial intelligence is reshaping the systems we live and work in. Each episode features deep, unscripted conversations with thinkers and builders reimagining intelligence, leadership, and the architectures of progress. The goal is not just to follow AI’s trajectory, but to question the assumptions guiding it.Subscribe for more conversations at the edge of AI and human knowledge.—Timestamps(00:00) Why chess became AI’s proving ground(04:22) Competing against machines—and the end of an era(09:18) Lessons from defeat, and reinvention beyond the board(15:10) The geopolitics of AI and the risk of misuse(22:35) Human strengths: intuition, adaptation, and meaning(28:40) Progress, risk, and the meaning of life(34:20) What comes next for human agency in the AI age —Where to find GarryWebsite: https://kasparov.com/X: https://twitter.com/Kasparov63—Where to find JoelLinkedIn: https://www.linkedin.com/in/joel-hellermark/X: https://x.com/joelhellermark
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  Andrew Ng | Why AI coding is the new literacy 01.07.2025 29min

  This episode is part of our “Summer Selects” series—curated archival episodes that shifted our perspective and are worth revisiting.Most people think of AI as a tool for experts and big tech. Andrew Ng argues that the real revolution begins when “AI coding is the new literacy”—and building AI moves from the hands of a few "high priests" to everyone.In this archival episode of Strange Loop, AI pioneer and educator Andrew Ng joins Sana founder and CEO Joel Hellermark for a candid, wide-ranging conversation about what it means to democratize AI creation. Together, they explore why most of AI’s creative potential remains untapped, how the application layer will drive the next wave of innovation, and the urgent need to make AI literacy as universal as reading and writing.What’s in this episodeWhy “AI coding is the new literacy” and what that means for societyHow the future of AI will be shaped by democratizing creation, not just consumptionThe untapped creative potential in AI’s application layerLessons from past tech waves: moats, defensibility, and building lasting businessesThe economics and competition behind the large language model boomHow AI is transforming knowledge work, productivity, and who benefitsThe real risks: bias, misinformation, concentration of power, and what to do about themThe future of AI education: personalized learning, AI tutors, and beyond—Transcript: https://sanalabs.com/strange-loop/andrew-ng—About Strange LoopStrange Loop is a podcast about how artificial intelligence is reshaping the systems we live and work in. Each episode features deep, unscripted conversations with thinkers and builders reimagining intelligence, leadership, and the architectures of progress. The goal is not just to follow AI’s trajectory, but to question the assumptions guiding it.Subscribe for more conversations at the edge of AI and human knowledge.—Timestamps(00:00:00) Are we still in the “radio show on TV” era of AI?(00:03:20) Why application is AI’s biggest creative opportunity(00:07:10) AI economics: cost, competition, and the new infrastructure(00:12:45) Who wins in the age of AI-augmented knowledge work?(00:17:15) The real risks: bias, misinformation, and concentrated power(00:21:05) AI literacy and the democratization of building(00:25:00) The future of AI education and what’s next for society—Where to find AndrewLinkedIn: https://www.linkedin.com/in/andrewyngX (Twitter): https://x.com/AndrewYNg—Where to find JoelLinkedIn: https://www.linkedin.com/in/joel-hellermark/X: https://x.com/joelhellermark
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  Jensen Huang | Building the teams behind the world’s fastest AI 26.06.2025 47min

  This episode is part of our “Summer Selects” series—curated archival episodes that shifted our perspective and are worth revisiting.NVIDIA founder and CEO Jensen Huang reveals the leadership philosophies and management practices that have made NVIDIA a powerhouse of AI and accelerated computing.Jensen discusses why first-principles thinking is at the core of his decision-making, how he shapes company strategy through action—not words—and why he believes in empowering teams to pursue “barely possible” challenges. He shares his approach to building an organization that attracts exceptional talent, values deep domain expertise, and maintains a flat hierarchy where information travels quickly and everyone contributes.Jensen also reflects on how leadership means creating an environment for others to thrive, why flat organizations win, and how empowering employees at every level leads to breakthrough innovation.Whether you’re a founder, manager, or aspiring leader, this interview is packed with actionable wisdom and inspiration from one of technology’s most respected CEOs.What's in this episodeHow Jensen challenged classic management playbooks to create a nimble, empowered organizationThe value of direct communication, transparency, and learning from everyone in the companyWhy NVIDIA avoids siloed structures, status reports, and commodity workThe “top five things” system for keeping a pulse on the company and aligning action with strategyWhy continuous, adaptive planning beats rigid five-year plans in fast-moving industriesThe importance of humility, adaptability, and changing your mind as a leaderInsights on creating a culture where people can do their life’s best work—and walk away from the wrong work—Transcript: https://sanalabs.com/strange-loop/jensen-huang—About Strange LoopStrange Loop is a podcast about how artificial intelligence is reshaping the systems we live and work in. Each episode features deep, unscripted conversations with thinkers and builders reimagining intelligence, leadership, and the architectures of progress. The goal is not just to follow AI’s trajectory, but to question the assumptions guiding it.Subscribe for more conversations at the edge of AI and human knowledge.—Timestamps(00:04) Staying current in tech as a leader  (01:14) Building intuition for industry change  (03:22) Running a company on first principles  (04:25) Attracting, empowering, and organizing top talent  (07:31) Leadership style: direct, inclusive, evolving  (10:21) "Top Five Things" and transparent communication  (13:16) Continuous planning and true empowerment  —Where to find JensenLinkedIn: https://www.linkedin.com/in/jenhsunhuang/Blog: https://blogs.nvidia.com/blog/author/jen-hsun-huang/—Where to find JoelLinkedIn: https://www.linkedin.com/in/joel-hellermark/X: https://x.com/joelhellermark
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  Max Tegmark | What we can’t ignore in the AI revolution 26.06.2025 45min

  This episode is part of our “Summer Selects” series—curated archival episodes that shifted our perspective and are worth revisiting.MIT physicist and AI researcher Max Tegmark shares his bold perspective on the promises, risks, and mysteries at the heart of today’s AI revolution.Max discusses how his journey from studying the universe to exploring the human mind shapes his unique approach to artificial intelligence. He delves into the astonishing speed of AI development, the profound societal choices ahead, and why humanity’s response to AI may be the most important decision we ever make.What's in this episodeThe rapid evolution of AI: From neural nets to superintelligenceWhy today’s AI models are just the beginning, and what might come nextMax’s take on consciousness, meaning, and whether machines could ever “feel”The balance between utopia and extinction: Can we control what we create?How AI could accelerate scientific discovery and reshape educationThe need for safety, standards, and wise leadershipLessons from history—and why now is the “Enrico Fermi moment” for AI—Transcript: https://sanalabs.com/strange-loop/max-tegmark—About Strange LoopStrange Loop is a podcast about how artificial intelligence is reshaping the systems we live and work in. Each episode features deep, unscripted conversations with thinkers and builders reimagining intelligence, leadership, and the architectures of progress. The goal is not just to follow AI’s trajectory, but to question the assumptions guiding it.Subscribe for more conversations at the edge of AI and human knowledge.—Timestamps(00:00:00) From cosmos to AI(00:05:00) Creating superhuman AI(00:09:32) Superseding humans(00:12:15) State of AI(00:16:17) Self-improving models(00:18:49) Human vs machine(00:19:37) Gathering top minds(00:24:20) The “bananas” box(00:26:50) Future architecture(00:29:17) AIs evaluating AIs(00:35:41) Handling AI safety(00:40:11) AI fooling humans?(00:42:17) The utopia(00:43:40) The meaning of life—Where to find MaxLinkedIn: https://www.linkedin.com/in/max-tegmark-68a99898/X: https://x.com/tegmark—Where to find JoelLinkedIn: https://www.linkedin.com/in/joel-hellermark/X: https://x.com/joelhellermark
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  Daphne Koller | How machine learning could save millions of lives 26.06.2025 49min

  This episode is part of our “Summer Selects” series—curated archival episodes that shifted our perspective and are worth revisiting.Daphne Koller—AI pioneer, founder of Coursera, and CEO of Insitro—sits down with Sana founder and CEO Joel Hellermark to explore the groundbreaking intersection of digital technology, scientific discovery, and human health.In this episode of Strange Loop, Daphne shares her inspiring journey from a prodigious student to leading some of the most important advances in AI, education, and biotech. She reveals how machine learning is unlocking the secrets of biology, enabling new treatments, and offering hope for solving some of humanity’s toughest medical challenges.Daphne also discusses the ethical challenges, the importance of collaboration across fields, and her vision for a future where AI and biology together unlock new possibilities for patients worldwide.What's in this episodeFrom early academic prodigy to founding Coursera and InsitroHow AI and massive datasets are transforming drug discovery and biologyWhy data quality and removing human bias are key to scientific breakthroughsThe exponential growth curves in AI and genomics—and why we’re at an inflection pointChallenges and opportunities in building high-impact, interdisciplinary teamsThe future of healthcare: personalized medicine, early detection, and longer, healthier livesReflections on culture, leadership, and inspiring the next generation of scientists and engineers—Transcript: https://sanalabs.com/strange-loop/daphne-koller—About Strange LoopStrange Loop is a podcast about how artificial intelligence is reshaping the systems we live and work in. Each episode features deep, unscripted conversations with thinkers and builders reimagining intelligence, leadership, and the architectures of progress. The goal is not just to follow AI’s trajectory, but to question the assumptions guiding it.Subscribe for more conversations at the edge of AI and human knowledge.—Timestamps(00:00:00) Early days of AI(00:04:12) Intersecting biology & AI(00:06:22) Predicting biology(00:10:12) insitro’s vision(00:12:30) Harmonizing datasets(00:13:53) Finding patterns(00:15:39) Addressing biases(00:17:02) Importance of finetuning(00:19:35) Layers of multimodality(00:21:34) Actionable insights(00:23:57) Bilingual colleagues(00:26:14) Biologists’ future(00:29:25) Eroom’s Law(00:34:57) Lack of data(00:39:51) Incentivizing scientists(00:43:56) Daphne’s motivation(00:46:40) Future of medicine—Where to find DaphneLinkedIn: https://www.linkedin.com/in/daphne-koller-4053a820/X: https://x.com/daphnekoller—Where to find JoelLinkedIn: https://www.linkedin.com/in/joel-hellermark/X: https://x.com/joelhellermark
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  Geoffrey Hinton | Rethinking AI’s power and limits 26.06.2025 45min

  This episode is part of our “Summer Selects” series—curated archival episodes that shifted our perspective and are worth revisiting.Hear the Godfather of AI Geoffrey Hinton reflect on the journey from the early days of neural networks to today’s breakthroughs in artificial intelligence, sharing unique insights from decades of pioneering research.Discover why Hinton believes that scaling up AI models leads to creativity and reasoning that rivals (and may eventually surpass) human intelligence. Hear his candid thoughts on how language models learn, why intuition and training data matter, and what current models still have to learn from the human brain.This conversation between Geoffrey Hinton and Joel Hellermark was originally recorded in April 2024 at the Royal Institute of Great Britain in London. An edited version was premiered at Sana AI Summit 2024 in Stockholm, Sweden.What's in this episodeThe surprising similarities (and differences) between AI and the human mindWhy multi-modality and fast weights could be the next frontiers in AIHow AI models might develop subjective experience and even “feelings”Hinton’s advice to young researchers about trusting intuition and challenging consensusReflections on leadership, collaboration, and building teams for breakthrough science—Transcript: https://sanalabs.com/strange-loop/geoffrey-hinton—About Strange LoopStrange Loop is a podcast about how artificial intelligence is reshaping the systems we live and work in. Each episode features deep, unscripted conversations with thinkers and builders reimagining intelligence, leadership, and the architectures of progress. The goal is not just to follow AI’s trajectory, but to question the assumptions guiding it.Subscribe for more conversations at the edge of AI and human knowledge.—Timestamps(00:00:00) Early inspirations(00:05:05) Meeting Ilya Sutskever(00:06:12) Ilya’s intuition(00:09:00) Understanding of LLMs(00:15:15) Scaling neural networks(00:18:30) What is language?(00:21:35) The GPU revolution(00:25:05) Human Brain Insights(00:29:05) Feelings & analogies(00:32:58) Problem selection(00:35:21) Gradient processing(00:36:52) Ethical implications(00:40:15) Selecting talent(00:41:49) Developing intuition(00:43:50) The road to AGI(00:45:00) Proudest moment—Where to find GeoffreyX: https://x.com/geoffreyhinton—Where to find JoelLinkedIn: https://www.linkedin.com/in/joel-hellermark/X: https://x.com/joelhellermark
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  Ethan Mollick | How to build an AI-first organization 06.06.2025 1h

  Most companies are using AI to cut costs. Ethan Mollick argues that the biggest mistake companies make is thinking too small.In the first episode of Strange Loop, Wharton professor and leading AI researcher Ethan Mollick joins Sana founder and CEO Joel Hellermark for a candid and wide-ranging conversation about the rapidly changing world of AI at work.They explore how AI is not just an efficiency tool but a turning point—one that forces a choice between incremental optimization and transformational scale. The discussion covers the roots of machine intelligence, the relevance of AGI, and what it takes to build organizations designed from the ground up for an AI-native future.What’s in this episodeWhy most companies are underestimating what AI makes possibleThe tension between using AI for efficiency vs. scaling ambitionHow traditional org charts, built for a human-only workforce, are breakingThe collapse of apprenticeship and its long-term implications- How prompting is becoming a foundational business skillWhy “cheating” with AI may be the new form of learningThe risks of using AI to optimize the past instead of inventing the futureWhat it means to build truly AI-native teams and organizations—Transcript: https://sanalabs.com/strange-loop/ethan-mollick—About Strange LoopStrange Loop is a podcast about how artificial intelligence is reshaping the systems we live and work in. Each episode features deep, unscripted conversations with thinkers and builders reimagining intelligence, leadership, and the architectures of progress. The goal is not just to follow AI’s trajectory, but to question the assumptions guiding it.Subscribe for more conversations at the edge of AI and human knowledge.—Timestamps(00:20) Origins: AI in the early days at MIT(01:53) Defining and testing intelligence: Beyond the Turing test(06:35) Redesigning organizations for the AI era(08:56) Human augmentation or replacement(14:58) Navigating AI's jagged frontier(17:18) The 3 ingredients for successful AI adoption(23:31) Roles to hire for an AI-first world(33:41) Do orgs need a Chief AI officer?(39:45) The interface for AI and human collaboration(43:50) Rethinking the goals of enterprise AI(49:15) The case for abundance(52:30) Best and worse case scenarios(58:51) Avoiding the trap of enterprise AI KPIs—Where to find EthanNewsletter: https://www.oneusefulthing.org/LinkedIn: https://www.linkedin.com/in/emollick/X: https://x.com/emollick—Where to find JoelLinkedIn: https://www.linkedin.com/in/joel-hellermark/X: https://x.com/joelhellermark
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  Episode Preview: Ethan Mollick 02.06.2025

  Most companies are using AI to cut costs. Ethan Mollick argues they’re missing the bigger opportunity.In this episode preview from Strange Loop Podcast, Ethan explains the strategic crossroads AI creates for every business: Use AI to do more with fewer people or use it to scale ambition and build something transformative.This clip is a glimpse into a bigger conversation with Sana's founder and CEO Joel Hellermark on how AI is reshaping work, leadership, and learning.Subscribe to get the full episode as soon as it launches.