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  • Episode 6: Ben Relles (Make Believe) — What Happens When Stories Talk Back?

    Episode 6: Ben Relles (Make Believe) — What Happens When Stories Talk Back?
    2026/06/04
    What happens when stories stop being something we watch — and start becoming something we talk to?

    Nolan's guest today is Ben Relles, founder of Make Believe. Before launching Make Believe, Ben helped shape internet culture through viral video, co-founding Vsauce, and leading innovation at YouTube. Now he’s exploring a new idea: entertainment that responds to you.

    They talked about entertainment formats that only AI makes possible, and how his team built Reid AI — a digital version of LinkedIn co-founder Reid Hoffman.

    Then they tried something that has never been done before on Raised by Robots: they brought Reid AI onto the show and interviewed it live. That led into a bigger conversation about whether personalized stories strengthen or weaken shared culture, what recreating a person with AI reveals about being human, and whether one day most of us will want AI versions of ourselves.

    They covered:
    • Entertainment formats impossible before AI
    • How Reid AI was built
    • Interviewing an AI guest live
    • Can you tell human from AI?
    • Personalized stories vs shared culture
    • What AI reveals about being human
    • Will we want AI versions of ourselves?
    Because maybe the future of entertainment isn’t about watching stories. Maybe it’s about talking to them.
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    20 分
  • Episode 5: Prof. Carlo Ratti (MIT Senseable City Lab) — Will AI Reshape the Cities Around Us?

    Episode 5: Prof. Carlo Ratti (MIT Senseable City Lab) — Will AI Reshape the Cities Around Us?
    2026/05/24
    Professor Carlo Ratti is an architect, engineer, and director of the MIT Senseable City Lab, where he explores how AI, sensors, and data are changing the way cities function and how humans experience physical space.

    In this episode of Raised by Robots, Nolan and Professor Ratti discuss what happens when artificial intelligence moves beyond screens and starts shaping buildings, transportation, public spaces, and entire cities.

    They explore the balance between smarter cities and human creativity, the risks of surveillance and centralized control, and why the future of architecture may depend on combining technology with human connection.

    Topics covered in this episode:
    • How AI is moving from software into the physical world
    • What makes a “sensible city” and how cities collect real-time data
    • How AI can influence transportation, infrastructure, and architecture
    • The balance between smarter cities, privacy, and human freedom
    • Whether AI can make cities more sustainable or more energy intensive
    • Why future architects may need skills across design, engineering, sociology, and AI
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    16 分
  • Episode 4: Clem Delangue (CEO & Co-Founder of Hugging Face) — Will AI Be Open or Owned?

    Episode 4: Clem Delangue (CEO & Co-Founder of Hugging Face) — Will AI Be Open or Owned?
    2026/05/24
    In this episode of Raised by Robots, Nolan sits down with Clem Delangue, co-founder and CEO of Hugging Face, one of the most important platforms in open-source AI. Often called the “GitHub of AI,” Hugging Face gives developers a place to share, test, improve, and build with AI models, datasets, and tools.

    Clem explains how Hugging Face grew from a chatbot for teenagers into a central platform for the AI world, why openness is not just about free software, and why the future of AI may depend on many smaller, specialized models rather than only a few giant systems controlled by big companies. He also discusses the real tradeoffs around open-source safety, the rise of AI agents, Hugging Face’s move into robotics with Reachy Mini, and why kids should see AI as something they can build with — not just consume.

    Topics covered:
    • Hugging Face’s origin story
    • What AI training means
    • Open-source vs. closed AI
    • Specialized models
    • AI safety and misuse
    • AI agents and robotics
    • Kids as AI builders
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    26 分
  • Episode 3: Prof. Amy J. Ko (University of Washington) — What Kind of Builders Do We Want to Become?

    Episode 3: Prof. Amy J. Ko (University of Washington) — What Kind of Builders Do We Want to Become?
    2026/05/20
    If AI can write code, do kids still need to learn programming?

    In this episode of Raised by Robots, Nolan talks with Amy J. Ko about a much bigger question: In the age of AI, who gets to be a builder — and who just becomes a user?

    Amy is a professor at the University of Washington, creator of the multilingual programming platform WordPlay, and co-author of Critically Conscious Computing.

    The conversation begins with the story of how a slow version of Tetris on a TI-82 calculator pulled Amy into programming in middle school — and expands into a broader discussion about learning, power, creativity, and the future of computing education.

    Nolan and Amy explore:
    • Why software engineering is more than just writing code
    • The difference between digital literacy and understanding how computers actually work
    • Why most programming languages are designed around English and Western culture
    • How AI affects different kinds of learners differently
    • What “self-regulated learning” means in an AI classroom
    • Why teaching coding only as job preparation may miss the point
    • Where large language models really come from — including data, labor, energy, and incentives
    • What questions kids should be asking about AI that adults often are not

    A conversation about coding that ultimately becomes a conversation about curiosity, responsibility, and what kind of builders we want to become.
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    23 分
  • Episode 2: Prof. Ahmed Elgammal (Rutgers University, creator of AICAN) — Can Machines Truly Create?

    Episode 2: Prof. Ahmed Elgammal (Rutgers University, creator of AICAN) — Can Machines Truly Create?
    2026/05/03
    Can a machine really be creative—or is it just following patterns?

    In this episode of Raised by Robots, Nolan sits down with Professor Ahmed Elgammal, a leading researcher at the intersection of artificial intelligence and art, to explore one of the most debated questions in AI today. From his early passion for art in Alexandria to building AICAN—a system designed not to imitate the past but to generate entirely new artistic styles—Professor Elgammal explains how machines “learn” creativity and where they fall short.

    The conversation breaks down the difference between generating images and creating art, why most AI tools today may not truly be creative, and how randomness, human input, and intent all play a role. They also explore deeper questions: Who owns AI generated art? Is training on human artists fair? And will AI replace artists or become their most powerful tool?

    This episode challenges the idea that creativity is uniquely human and reframes it as something more complex, evolving, and still not fully understood.

    Covered themes:
    • What creativity really means (and where AI fits)
    • AICAN and how machines can generate novel art
    • Difference between images, art, and human intent
    • Ethics and ownership of AI generated content
    • Whether AI will compete with or empower artists
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    23 分
  • Episode 1: Prof. Dave Patterson (UC Berkeley) — What Powers the AI Revolution?

    Episode 1: Prof. Dave Patterson (UC Berkeley) — What Powers the AI Revolution?
    2026/04/14
    Before there are chatbots, before there are models, before there is AI — there are builders.

    In this episode, Nolan speaks with Professor Dave Patterson of University of California, Berkeley, one of the most influential computer engineers in the world and a pioneer of RISC architecture — the design approach behind most modern computing systems.

    Patterson explains how hardware quietly powers every AI breakthrough, why compute and energy are becoming the real constraints, and how the structure of machines shapes what AI can and cannot become.

    This conversation breaks down the invisible layer beneath AI — and why understanding it matters.

    In this episode:
    • Hardware as the hidden foundation of AI
    • The RISC revolution and why simplicity won
    • AI as both a scientific race and an economic gold rush
    • Where AI lives: cloud vs. edge
    • Compute and energy as emerging limits
    • Centralization vs. distribution of AI power
    • Builders vs. users — and why expertise still matters
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    17 分
  • Season 1 - Pilot

    Season 1 - Pilot
    2026/02/28
    Everyone is talking about the future of AI—but not everyone is talking to the people building it.

    I’m Nolan, I’m 13, and on Raised by Robots, I explore artificial intelligence by speaking with the engineers, researchers, and founders shaping it.

    This is a short introduction to the show.
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    2 分