Quick Read

Kevin Ashton, the inventor of the 'Internet of Things,' discusses its unexpected origins, missed technological shifts by industry giants, and how human identity and perception are fundamentally shaped by storytelling.
The 'Internet of Things' was coined to make sensor technology palatable to skeptical 90s executives.
Industry giants like Motorola failed to foresee the smartphone revolution despite early warnings.
Human identity and perception are deeply rooted in storytelling, making critical thinking essential in the age of deepfakes.

Summary

Kevin Ashton, credited with coining the term 'Internet of Things' (IoT), details its accidental inception during a pitch to Proctor & Gamble in the mid-90s, where he aimed to track products using sensors. He recounts the initial skepticism from executives who couldn't grasp the internet's potential beyond email, contrasting this with the later widespread adoption fueled by smartphones. Ashton also shares his spot-on predictions from 11 years ago, including the rise of self-driving cars, battery-less computing (via RFID tags), and extended human lifespans. He delves into his latest work, 'The Story of Stories,' explaining how human identity and our understanding of the world are fundamentally constructed through narratives, highlighting the challenges posed by deepfake technology and the need for heightened critical thinking.
This episode offers a rare look into the mind of a foundational technology innovator, revealing how groundbreaking ideas emerge and face initial resistance. Ashton's insights into the 'Internet of Things' provide context for our hyper-connected world, while his predictions offer a framework for understanding future technological shifts. Crucially, his exploration of storytelling as the basis of human perception and identity provides a vital lens for navigating an increasingly complex information landscape, where deepfakes and competing narratives challenge our ability to discern truth.

Takeaways

  • The term 'Internet of Things' was created in the mid-90s to make a supply chain tracking idea more appealing to non-technical executives at Proctor & Gamble.
  • Early predictions for the IoT were met with skepticism, with executives struggling to grasp the internet's utility beyond basic email.
  • Motorola, a former cell phone leader, dismissed early smartphone concepts, focusing on minor features like microphone quality, contributing to their decline.
  • Kevin Ashton accurately predicted the rise of self-driving cars, battery-less computers (via RFID), and average human lifespans extending to 100 years.
  • AI is described as a 'more complicated toaster' that lacks true understanding or meaning, making it incapable of genuine creative storytelling or comedy.
  • Human language and storytelling evolved around campfires a million years ago, fundamentally shaping our brains to think in terms of narratives (heroes and villains).
  • Our personal identity and understanding of the world are 99.9% based on stories we've heard, not direct experience.
  • The proliferation of smartphones has created a world where anyone can tell stories to anyone, accelerating both truth and misinformation.
  • The rise of deepfake technology necessitates a sharper critical thinking ability to discern reality from fabricated narratives.

Insights

1The Accidental Birth of the 'Internet of Things'

Kevin Ashton coined the term 'Internet of Things' in 1997 while trying to pitch a supply chain solution to Proctor & Gamble executives. His goal was to make the concept of embedding chips in products to track them more appealing by associating it with the then-novel 'internet,' despite the executives' limited understanding of online technology.

I had this idea that I called the Internet of Things... I figured if I could put the word internet in there somehow, then you know they'd be interested.

2Motorola's Missed Smartphone Revolution

Despite being on Motorola's research board in the early 2000s and advocating for touchscreens, graphic user interfaces, and sensors, executives dismissed these ideas. When the iPhone launched, a Motorola research head critiqued its microphone quality, failing to grasp the broader paradigm shift, which ultimately contributed to Motorola's downfall.

The head of research at Motorola said, 'Yeah, but it doesn't have a very good microphone.'... Motorola is kind of not in business anymore.

3Accurate Futurist Predictions

Ashton made three predictions 11 years prior: most cars would lack steering wheels (referring to self-driving capabilities), computers wouldn't have batteries (referencing RFID tags powered by radio waves), and average lifespans would reach 100 years. He notes that the first two are already largely true or in advanced stages, and the third is on track.

15 years from now, most cars won't have steering wheels... Five years from now, computers won't have batteries... Kids and grandkids will live to 100 on average.

4AI's Inability to Understand Meaning

Ashton argues that AI, despite its complexity, is akin to a 'more complicated toaster' – it processes information but lacks genuine understanding or meaning. This limitation prevents AI from creating truly impactful stories or comedy, which rely on truth and emotional resonance that machines cannot grasp.

It's just a more complicated toaster... it doesn't know what it's doing. It's just a machine... Machines can't do that. AI can't do that.

5Storytelling as the Foundation of Human Identity and Perception

His book, 'The Story of Stories,' explores how human language and identity evolved from communal storytelling around fires a million years ago. Our understanding of ourselves and the world is predominantly shaped by narratives, leading us to perceive events in terms of heroes and villains, often oversimplifying reality.

Storytelling started about a million years ago because we invented fire... Storytelling is what made us human... your understanding of the world is like 99.9% based on stories that you have heard.

6Navigating Truth in the Age of Deepfakes

The ubiquity of smartphones allows anyone to share stories globally, but also enables the creation of sophisticated deepfakes. This technological advancement demands a heightened level of critical thinking to evaluate evidence, question narratives, and recognize the inherent agenda behind any story being told.

We're going to reach a point sometime soon when you actually can't tell... That critical thinking that we already need to be like, is someone bullshitting me right now? It's got to get a lot sharper.

Bottom Line

The initial resistance to the 'Internet of Things' from senior executives highlights a common challenge in technology adoption: the inability of established leaders to envision applications beyond current paradigms.

So What?

This pattern suggests that truly disruptive innovations often bypass traditional gatekeepers and gain traction through grassroots adoption or by appealing to new decision-makers.

Impact

Entrepreneurs should focus on demonstrating tangible value and simple narratives for complex tech, rather than relying solely on technical superiority, especially when targeting non-technical decision-makers or new markets.

The 'Internet of Things' found early funding and application in defense logistics, demonstrating how critical needs (like tracking military supplies) can drive the development of technologies that later become consumer staples.

So What?

Defense and government sectors can serve as crucial incubators for nascent technologies, providing the capital and use cases necessary for maturation before broader commercialization.

Impact

Tech companies should explore partnerships with government and defense agencies for early-stage funding and real-world testing, as these can be pathways to validating and scaling new technologies.

Ashton's observation that AI cannot understand 'meaning' or create 'true' comedy/storytelling suggests a fundamental human advantage in creative fields.

So What?

This implies that roles requiring deep empathy, nuanced understanding of human experience, and genuine creative insight are likely to remain resistant to full AI automation.

Impact

Individuals and businesses should invest in developing and valuing uniquely human skills like critical thinking, emotional intelligence, and authentic storytelling, as these represent enduring competitive advantages.

Key Concepts

Moore's Law (implied)

The guest's experience with computer memory and power efficiency illustrates the principle that technology consistently gets cheaper, smaller, and more powerful over time, making previously 'impossible' ideas feasible.

Narrative Fallacy

The concept that humans inherently understand the world through stories, often simplifying complex realities into hero/villain dichotomies, which can influence perception and behavior, especially in media and politics.

Lessons

  • Cultivate critical thinking skills: Actively question the narratives presented to you, especially those that evoke strong emotions or confirm existing biases. Consider the agenda of the storyteller.
  • Be aware of your narrative bias: Recognize that your own identity and perception of others are shaped by stories. Challenge the hero/villain dichotomy in your thinking, especially in personal or political conflicts.
  • Embrace technological evolution with an open mind: Understand that current technological limitations (e.g., battery life) are often temporary, and future innovations will continue to shrink, cheapen, and improve efficiency, as demonstrated by the history of computing.

Quotes

"

"You kind of I guess when you have a stupid idea and it comes true, you you move from being like an idiot to a futurist."

Kevin Ashton
"

"If you don't invent something because someone might do something bad with it, you know, you're never going to invent anything."

Kevin Ashton
"

"The world is not going to end in our lifetime. And if I'm wrong, hey, who's going to know? You know, you can't really lose betting on that."

Kevin Ashton
"

"AI is just like brain toast, right? You know, it's it's it doesn't know what it's doing. It's just a machine."

Kevin Ashton
"

"Your understanding of the world is like 99.9% based on stories that you have heard."

Kevin Ashton
"

"Any story where like you're the hero, someone else is the villain. There's I I mean it always makes me laugh... that's probably when the the alarm bells need to ring."

Kevin Ashton

Q&A

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