Strange Loop Podcast

Sana

Conversations at the edge of artificial intelligence and human knowledge. Hosted by Joel Hellermark.

  1. 2 days ago

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

    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-cowen Timestamps (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 future About Strange Loop Strange 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.

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

  2. 9 Jul

    Ethan Mollick | The long way is the shortcut: experiments over AI playbooks

    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 of About Strange Loop Strange 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

    Ethan Mollick | The long way is the shortcut: experiments over AI playbooks

  3. 17 Jun

    Anton Osika | On building Lovable: AI for the 99%

    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-osika Timestamps (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 society About Strange Loop Strange 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/

    Anton Osika | On building Lovable: AI for the 99%

  4. 03/09/2025

    David Deutsch | AGI, the origins of quantum computing, and the future of humanity

    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 episode How human creativity evolved for cultural knowledge transmission, not innovation Why large language models and AGI operate on fundamentally different principles The relationship between quantum computing and the computational nature of reality Why having billions of AGI copies wouldn't accelerate progress as expected How knowledge creation violates the basic physical rule that "might makes right" The distinction between tools that enhance human intelligence and systems that replace it Why humans are cosmically significant despite appearing small and fragile What questions Deutsch most wants answered about consciousness and artificial general intelligence The future of humanity across cosmic timescales and what makes progress sustainable — Transcript: https://sanalabs.com/strange-loop/david-deutsch — About Strange Loop Strange 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 David Website: daviddeutsch.org.uk X: https://x.com/daviddeutschoxf Where to find Gustav LinkedIn: https://www.linkedin.com/in/gustavsoderstrom/ X: https://x.com/gustavs Where to find Joel LinkedIn: https://www.linkedin.com/in/joel-hellermark/ X: https://x.com/joelhellermark

    David Deutsch | AGI, the origins of quantum computing, and the future of humanity

  5. 02/09/2025

    Episode Preview | David Deutsch

    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.

    Episode Preview | David Deutsch

  6. 09/07/2025

    Garry Kasparov | Lessons from chess in an AI world

    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 episode How chess became the original proving ground for artificial intelligence The psychological edge that separates champions from the rest Why human creativity and intuition still matter in an AI-powered world The risks and rewards of rapid technological progress Lessons from Kasparov’s own reinvention beyond chess What the history of chess vs. machines reveals about the future of knowledge work Defining the human advantage in an age of superhuman computation Why freedom and adaptability are essential for progress — Transcript: https://sanalabs.com/strange-loop/garry-kasparov — About Strange Loop Strange 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 Garry Website: https://kasparov.com/X: https://twitter.com/Kasparov63— Where to find Joel LinkedIn: https://www.linkedin.com/in/joel-hellermark/ X: https://x.com/joelhellermark

    Garry Kasparov | Lessons from chess in an AI world

  7. 01/07/2025

    Andrew Ng | Why AI coding is the new literacy

    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 episode Why “AI coding is the new literacy” and what that means for society How the future of AI will be shaped by democratizing creation, not just consumption The untapped creative potential in AI’s application layer Lessons from past tech waves: moats, defensibility, and building lasting businesses The economics and competition behind the large language model boom How AI is transforming knowledge work, productivity, and who benefits The real risks: bias, misinformation, concentration of power, and what to do about them The future of AI education: personalized learning, AI tutors, and beyond — Transcript: https://sanalabs.com/strange-loop/andrew-ng — About Strange Loop Strange 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 Andrew LinkedIn: https://www.linkedin.com/in/andrewyng X (Twitter): https://x.com/AndrewYNg — Where to find Joel LinkedIn: https://www.linkedin.com/in/joel-hellermark/ X: https://x.com/joelhellermark

    Andrew Ng | Why AI coding is the new literacy

  8. 26/06/2025

    Jensen Huang | Building the teams behind the world’s fastest AI

    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 episode How Jensen challenged classic management playbooks to create a nimble, empowered organization The value of direct communication, transparency, and learning from everyone in the company Why NVIDIA avoids siloed structures, status reports, and commodity work The “top five things” system for keeping a pulse on the company and aligning action with strategy Why continuous, adaptive planning beats rigid five-year plans in fast-moving industries The importance of humility, adaptability, and changing your mind as a leader Insights 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 Loop Strange 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 Jensen LinkedIn: https://www.linkedin.com/in/jenhsunhuang/ Blog: https://blogs.nvidia.com/blog/author/jen-hsun-huang/ — Where to find Joel LinkedIn: https://www.linkedin.com/in/joel-hellermark/ X: https://x.com/joelhellermark

    Jensen Huang | Building the teams behind the world’s fastest AI
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About

Conversations at the edge of artificial intelligence and human knowledge. Hosted by Joel Hellermark.

Information

  • Creator
    Sana
  • Years Active
    2025 - 2026
  • Episodes
    13
  • Rating
    Clean
  • Copyright
    © Sana
  • Show Website
    Strange Loop Podcast

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