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
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Transcript: https://sanalabs.com/strange-loop/david-deutsch
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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.
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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
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Where to find David
Website: daviddeutsch.org.uk
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
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.
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
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Transcript: https://sanalabs.com/strange-loop/garry-kasparov
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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.
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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
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Where to find Garry
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Where to find Joel
LinkedIn: https://www.linkedin.com/in/joel-hellermark/
X: https://x.com/joelhellermark
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
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Transcript: https://sanalabs.com/strange-loop/andrew-ng
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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.
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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
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Where to find Andrew
LinkedIn: https://www.linkedin.com/in/andrewyng
X (Twitter): https://x.com/AndrewYNg
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Where to find Joel
LinkedIn: https://www.linkedin.com/in/joel-hellermark/
X: https://x.com/joelhellermark
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
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Transcript: https://sanalabs.com/strange-loop/jensen-huang
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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.
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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
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Where to find Jensen
LinkedIn: https://www.linkedin.com/in/jenhsunhuang/
Blog: https://blogs.nvidia.com/blog/author/jen-hsun-huang/
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Where to find Joel
LinkedIn: https://www.linkedin.com/in/joel-hellermark/
X: https://x.com/joelhellermark
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 episode
The rapid evolution of AI: From neural nets to superintelligence
Why today’s AI models are just the beginning, and what might come next
Max’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 education
The need for safety, standards, and wise leadership
Lessons from history—and why now is the “Enrico Fermi moment” for AI
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Transcript: https://sanalabs.com/strange-loop/max-tegmark
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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) 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
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Where to find Max
LinkedIn: https://www.linkedin.com/in/max-tegmark-68a99898/
X: https://x.com/tegmark
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Where to find Joel
LinkedIn: https://www.linkedin.com/in/joel-hellermark/
X: https://x.com/joelhellermark
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 episode
From early academic prodigy to founding Coursera and Insitro
How AI and massive datasets are transforming drug discovery and biology
Why data quality and removing human bias are key to scientific breakthroughs
The exponential growth curves in AI and genomics—and why we’re at an inflection point
Challenges and opportunities in building high-impact, interdisciplinary teams
The future of healthcare: personalized medicine, early detection, and longer, healthier lives
Reflections on culture, leadership, and inspiring the next generation of scientists and engineers
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Transcript: https://sanalabs.com/strange-loop/daphne-koller
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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) 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
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Where to find Daphne
LinkedIn: https://www.linkedin.com/in/daphne-koller-4053a820/
X: https://x.com/daphnekoller
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Where to find Joel
LinkedIn: https://www.linkedin.com/in/joel-hellermark/
X: https://x.com/joelhellermark
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 episode
The surprising similarities (and differences) between AI and the human mind
Why multi-modality and fast weights could be the next frontiers in AI
How AI models might develop subjective experience and even “feelings”
Hinton’s advice to young researchers about trusting intuition and challenging consensus
Reflections on leadership, collaboration, and building teams for breakthrough science
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Transcript: https://sanalabs.com/strange-loop/geoffrey-hinton
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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) 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
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Where to find Geoffrey
X: https://x.com/geoffreyhinton
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Where to find Joel
LinkedIn: https://www.linkedin.com/in/joel-hellermark/
X: https://x.com/joelhellermark
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 episode
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Transcript: https://sanalabs.com/strange-loop/ethan-mollick
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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
(00:20) 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
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Where to find Ethan
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Where to find Joel
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.
