http://www.raisedbyrobots.fm
I started by experimenting with AI myself, but quickly realized the bigger questions go far beyond code.

On Raised by Robots, I speak with researchers, founders, and operators to break down how AI works, where it’s heading, and how it will shape everyday life—especially for the generation growing up alongside it.]]>enTechnologyCopyright NC Productionshttps://d3wo5wojvuv7l.cloudfront.net/t_rss_itunes_square_1400/images.spreaker.com/original/12ec1686a15daead3ee2f4cf251050c6.jpghttp://www.raisedbyrobots.fmMon, 31 Aug 2026 03:19:13 +0000NC ProductionsNC Productionsnolan@raisedbyrobots.fmI’m Nolan, I’m 13, and I’m trying to understand artificial intelligence by talking to the people building it. I started by experimenting with AI myself, but quickly realized the bigger questions go far beyond code. On Raised by Robots, I speak with...
I started by experimenting with AI myself, but quickly realized the bigger questions go far beyond code.

On Raised by Robots, I speak with researchers, founders, and operators to break down how AI works, where it’s heading, and how it will shape everyday life—especially for the generation growing up alongside it.]]>false900367da-5542-5729-a436-17a26db4b903episodichttps://www.spreaker.com/episode/episode-7-david-klingbeil-nyu-professor-what-happens-when-the-robots-start-talking-to-each-other--74760404
Nolan sits down with David Klingbeil, former Google executive, NYU professor of AI for Marketing and Strategy, and founder of Submarine.ai, where AI agents analyze billions of video views to understand brands, trends, and culture.

David explains what actually makes an AI agent, where agents are already working today, and what comes next as they begin recommending, negotiating, and eventually buying from other agents — without a human in the loop.

They covered:

• What makes an AI agent
• What AI still needs humans for: taste and judgment
• How Submarine’s Brand Radar works
• Where agents are actually being used today
• What happens when agents talk and transact with each other
• Why standards like MCP matter
• How brands market when the customer becomes an AI
• Why human-made could become the new luxury

And David’s advice to Nolan at 13: develop taste, master AI, and build judgment.

Because maybe the question isn’t whether a robot takes your job. It’s whether you’re still in the room when the decision gets made.]]>https://api.spreaker.com/episode/74760404Mon, 31 Aug 2026 01:37:47 +0000NC ProductionsWhat happens when the machines stop talking to us — and start talking to each other? Nolan sits down with David Klingbeil, former Google executive, NYU professor of AI for Marketing and Strategy, and founder of Submarine.ai, where AI agents analyze...
Nolan sits down with David Klingbeil, former Google executive, NYU professor of AI for Marketing and Strategy, and founder of Submarine.ai, where AI agents analyze billions of video views to understand brands, trends, and culture.

David explains what actually makes an AI agent, where agents are already working today, and what comes next as they begin recommending, negotiating, and eventually buying from other agents — without a human in the loop.

They covered:

• What makes an AI agent
• What AI still needs humans for: taste and judgment
• How Submarine’s Brand Radar works
• Where agents are actually being used today
• What happens when agents talk and transact with each other
• Why standards like MCP matter
• How brands market when the customer becomes an AI
• Why human-made could become the new luxury

And David’s advice to Nolan at 13: develop taste, master AI, and build judgment.

Because maybe the question isn’t whether a robot takes your job. It’s whether you’re still in the room when the decision gets made.]]>2054agentic-ai,agentic-commerce,agent-to-agent,ai-agents,ai-marketing,ai-podcast,ai-skills,ai-standards,brand-intelligence,david-klingbeil,entrepreneurship,future-of-ai,future-of-work,generative-ai,luxury-marketing,mcp,nyu,raised-by-robots,submarine-aifalse17fullhttps://www.spreaker.com/episode/episode-6-ben-relles-make-believe-what-happens-when-stories-talk-back--72353751
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.]]>https://api.spreaker.com/episode/72353751Thu, 04 Jun 2026 21:45:13 +0000NC ProductionsWhat 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,...
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.]]>1220ai-avatars,ai-entertainment,ai-storytelling,ai-video,ben-relles,conversational-ai,digital-twins,future-of-media,generative-ai,human-vs-ai,interactive-media,make-believe,media-innovation,personalized-content,raised-by-robots,reid-ai,reid-hoffman,storytelling,vsauce,youtubefalse16fullhttps://www.spreaker.com/episode/episode-5-prof-carlo-ratti-mit-senseable-city-lab-will-ai-reshape-the-cities-around-us--72146297
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

]]>https://api.spreaker.com/episode/72146297Sun, 24 May 2026 20:54:03 +0000NC ProductionsProfessor 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...
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

]]>977ai,ai-and-cities,architecture,artificial-intelligence,carlo-ratti,city-planning,future-cities,infrastructure,innovation,machine-learning,mit,mit-senseable-city-lab,privacy,raised-by-robots,robotics,smart-cities,sustainable-cities,technology,transportation,urban-designfalse15fullhttps://www.spreaker.com/episode/episode-4-clem-delangue-ceo-co-founder-of-hugging-face-will-ai-be-open-or-owned--72104585
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

]]>https://api.spreaker.com/episode/72104585Sun, 24 May 2026 14:11:00 +0000NC ProductionsIn 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,...
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

]]>1532ai-agents,ai-builders,ai-democratization,ai-education,ai-for-kids,ai-models,ai-robotics,artificial-intelligence,clem-delangue,foundation-models,future-of-ai,github-of-ai,hugging-face,machine-learning,open-source-ai,raised-by-robots,reachy-mini,specialized-models,technology-podcast,training-datafalse14fullhttps://www.spreaker.com/episode/episode-3-prof-amy-j-ko-university-of-washington-what-kind-of-builders-do-we-want-to-become--72085999
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.]]>https://api.spreaker.com/episode/72085999Wed, 20 May 2026 16:35:03 +0000NC ProductionsIf 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...
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.]]>1365ai-and-coding,ai-and-education,ai-ethics,ai-training-data,amy-j-ko,builders-vs-users,computer-science-education,computing-education,critically-conscious-computing,digital-literacy,kids-and-ai,learning-to-code,multilingual-programming,paulo-freire,raised-by-robots,scratch-copilot,self-regulated-learning,software-engineering,university-of-washington,wordplay-programmingfalse13fullhttps://www.spreaker.com/episode/episode-2-prof-ahmed-elgammal-rutgers-university-creator-of-aican-can-machines-truly-create--71841734
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

]]>https://api.spreaker.com/episode/71841734Sun, 03 May 2026 17:43:48 +0000NC ProductionsCan 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...
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

]]>1363ai-and-art,ai-art,aican-system,ai-creativity,ai-ethics,ai-innovation,ai-philosophy,artificial-intelligence,art-technology,computer-vision,creative-ai,creative-process,creativity-definition,digital-art,future-of-art,generative-ai,generative-models,machine-creativity,prompt-engineering,teen-tech-podcastfalse12fullhttps://www.spreaker.com/episode/episode-1-prof-dave-patterson-uc-berkeley-what-powers-the-ai-revolution--71323689
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

]]>https://api.spreaker.com/episode/71323689Tue, 14 Apr 2026 18:16:02 +0000NC ProductionsBefore 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...
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

]]>1028ai-economy,ai-hardware,ai-infrastructure,ai-trends,artificial-intelligence,builders-of-ai,chip-design,compute-power,computer-engineering,data-centers,dave-patterson,deep-learning,edge-ai,future-of-ai,machine-learning,raised-by-robots,risc-architecture,tech-education,tech-podcast,uc-berkeleyfalse11fullhttps://www.spreaker.com/episode/season-1-pilot--70981795
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.]]>https://api.spreaker.com/episode/70981795Sat, 28 Feb 2026 22:21:00 +0000NC ProductionsEveryone 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....
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.]]>105ai,aieducation,aihardware,artificialintelligence,deeplearning,edgeai,emergingtechnology,engineers,founders,futureoftechnology,innovation,interviews,machinelearning,neuroscience,robotics,smartcities,startups,technology,techpodcast,tinymlfalse1trailer