Samuel Arbesman and Aidan McCullen discuss The Magic of Code, AI, artificial life, and the simulation hypothesis on The Innovation Show

The Magic of Code with Sam Arbesman | The Innovation Show

Aidan McCullen and Samuel Arbesman dive into code as a humanistic “superpower,” biology–computation parallels, artificial life, and the simulation hypothesis—tempered by humility and curiosity.

The Magic of Code with Sam Arbesman | The Innovation Show (Thinkers50 Award-Winning Podcast)

In this thought-provoking episode, Aidan McCullenThinkers50 Innovation Award Winner, author of Undisruptable, and host of The Innovation Show — welcomes Samuel Arbesman, scientist, author, and polymath, for the grand finale of their trilogy.

Together, they explore The Magic of Code: How Digital Language Created and Connects Our World, diving deep into how code shapes our understanding of reality — from biology and evolution to artificial intelligence and the simulation hypothesis.

 Discover how code is the new DNA, the universal language linking art, philosophy, and technology, and why rekindling curiosity, humility, and wonder is essential in our age of machines.

Timestamps

00:00 Introduction and Sponsor Message

00:18 The Power and Mystery of Code

01:33 Guest Introduction: Samuel Arbesman

02:26 The Magic of Code: Themes and Inspirations

03:53 Rekindling Wonder in Computing

11:01 Biology and Computation: A Deep Dive

14:43 Artificial Life and Evolution in Computing

24:17 Emergent Behavior and Evolutionary Contingency

28:28 Simulation Hypothesis: Reality as a Program

29:30 The Complexity of Digital Simulations

30:35 Weather Prediction and Simplified Models

32:00 The Physicality of Computing

33:17 The Simulation Hypothesis

39:05 The Role of Language in AI

44:09 Humanity and Technology

47:39 The Future of Technology and Society

57:00 Final Thoughts on Humility and Curiosity

In This Episode

  • The connection between code, language, and human creativity

  • How biology and computation mirror one another

  • Artificial life, evolution, and digital ecosystems

  • The simulation hypothesis: Are we living in code?

  • The importance of humility, restraint, and curiosity in an AI-driven world

Guest: Samuel Arbesman — Author of The Magic of Code, The Half-Life of Facts, and Overcomplicated

🔗 Find Sam: https://arbesman.net

Host: Aidan McCullenThinkers50 Innovation Award Winner, international thought leader on change and reinvention, author of Undisruptable, and host of The Innovation Show, a globally acclaimed and Thinkers50-recognised podcast inspiring leaders to thrive through change.

A former international rugby player, Aidan now helps organisations and leaders adapt and evolve in an age of exponential transformation.

 

Get Sam’s Book: https://amzn.to/3Xb8abN

Find the Innovation show: https://thethursdaythought.substack.com

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Manu Kapur: The Science of Productive Failure & The Four A’s of Learning

In Part 2 of my conversation with Manu Kapur, author of Productive Failure, we explore the science behind learning from failure, including the Four A’s framework, variability in learning, and why struggle fuels adaptability in today’s fast-changing world.

Manu Kapur: The Science of Productive Failure & The Four A's of Learning

In this episode of The Innovation Show, Aidan McCullen welcomes back Manu Kapur, author of Productive Failure, to explore the science of learning through failure.

We uncover the Basic Knowledge Fallacy, debate Direct Instruction vs. Discovery Learning, and introduce the Four A’s of Learning (Activation, Awareness, Affect, Assembly). Manu also explains why variability, struggle, and pretesting drive deeper learning, adaptability, and long-term success.

Whether you’re an educator, business leader, coach, or lifelong learner, this conversation will transform the way you think about learning and growth.

 

⏱️ Episode Timestamps:

00:00 – Introduction and Sponsor Message

00:33 – Welcoming the Guest: Manu Kapur

01:01 – Understanding the Basic Knowledge Fallacy

05:07 – Direct Instruction vs. Discovery Learning

08:08 – The Science Behind Productive Failure

14:01 – The Importance of Variability in Learning

21:14 – Pretesting and the Role of Struggle in Learning

26:43 – Final Thoughts and Cognitive Reflection Test

 

🔑 Key Takeaways:

  • Why the path to learning is as important as the knowledge itself

  • The strengths and limits of direct instruction and discovery learning

  • How the Four A’s of Productive Failure create lasting understanding

  • Why variability and desirable difficulties improve adaptability

  • How struggle, pretesting, and impasses unlock deeper insights

📘 Resources:

📺 Watch more episodes of The Innovation Show: The Innovation Show on YouTube

🌐 Learn more about Manu Kapur: www.manukapur.com

📘 Get Manu’s book Productive Failure: https://amzn.to/3KrdV1Q

 

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