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Machines Like Us

The Globe and Mail
Social Media
Disinformation
Canadian Information Ecosystem
Artificial Intelligence
Digital Governance
Attention Economy
Election Integrity
Democracy
Misinformation
Mental Health
Character AI
Media Landscape
Trust In Media
Journalism
Paul Wells Show
Consumer Protection
AI Ethics
Suicide
Sewell Garcia
Cable News

Machines Like Us is a technology show about people. We are living in an age of breakthroughs propelled by advances in artificial intelligence. Technologies that were once the realm of science fiction will become our reality: robot best friends, bespoke gene editing, brain implants that make us smarter. Every other Tuesday Taylor Owen sits down with the people shaping this rapidly approaching futur... more

PublishesTwice monthlyEpisodes66Founded6 years ago
Number of ListenersCategories
Society & CultureTechnology

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Artwork for Machines Like Us

Latest Episodes

Nine months ago, Elon Musk said 2025 would be the year chatbots became smarter than humans. Sam Altman thought it would be the year fully autonomous AIs entered the work force. And Dario Amodei, the CEO of Anthropic, predicted that by the end of the ... more

YouTube

Jensen Huang is something of an enigma. The NVIDIA CEO doesn’t have social media and, until recently, rarely gave interviews. Yet he may be the most important person in AI.

Under his leadership, NVIDIA has become a goliath. Somewhere between 80 and ... more

YouTube

It was an idea that defied logic: an online encyclopedia that anyone could edit.

You didn’t need to have a PhD or even use your real name – you just needed an internet connection. Against all odds, it worked. Today, billions of people use Wikipedia ... more

YouTube

Over the last couple of years, massive AI investment has largely kept the stock market afloat. Case in point: the so-called Magnificent 7 – tech companies like NVIDIA, Meta, and Microsoft – now account for more than a third of the S&P 500’s value. (W... more

YouTube

Key Facts

Accepts Guests
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Podcast Host
Number of Listeners
Find out how many people listen to this podcast per episode and each month.

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Recent Guests

Stephen Witt
Author of 'The Thinking Machine'
Episode: The Man Behind the World’s Most Coveted Microchip
Jimmy Wales
Founder of Wikipedia
Episode: Wikipedia Won Our Trust. Can We Use That Model Everywhere?
Rutger Bregman
Historian and author of 'Moral Ambition'
Episode: Can AI Lead Us to the Good Life?
Carole Cadwalladr
Investigative journalist who broke the Cambridge Analytica story
Episode: How to Survive the “Broligarchy”
Ed Newton Rex
Former classical music composer and AI music generator developer
Stability AI
Episode: AI Music is Everywhere. Is it Legal?
Jim Balsillie
Former co-CEO of Research in Motion and critic of Canada's economic policies
Research in Motion
Episode: Jim Balsillie: ‘Canada’s Problem Isn’t Trump. Canada’s Problem Is Canada’
Jay Rosen
Professor of Journalism at NYU, studying and shaping the press for nearly 40 years
New York University
Episode: How Do You Report the News in a Post-Truth World?
Chris Hayes
Host of MSNBC show All In and author
Episode: Big Tech Hijacked Our Attention. Chris Hayes Wants To Win It Back.
Ron Deibert
Cyber expert and founder of the Citizen Lab
University of Toronto
Episode: New Spyware Has Made Your Phone Less Secure Than You Might Think

Host

Taylor Owen
Host of Machines Like Us, known for his in-depth research and analysis of technology and its implications on society.

Reviews

4.8 out of 5 stars from 138 ratings
  • Thought-provoking and accessible

    I so appreciate this smart, open-minded podcast to help me think about what to think about.

    Apple Podcasts
    5
    LotstoLearnCDA
    Canada2 months ago
  • Recommended

    Stimulating, interesting and occasionally challenging

    Apple Podcasts
    5
    imrandall
    Canada8 months ago
  • excellent!

    well researched; energetically and engagingly hosted. kudos!

    Apple Podcasts
    5
    sir speaksalot
    Canada9 months ago
  • Informative sans hype

    Good balance of articles and interesting guests to help navigate tech trends and their implications. People centric which is refreshing..

    Apple Podcasts
    5
    Rossf12
    Australia10 months ago
  • Impressive depth

    The interviews are really well constructed. Appreciate the depth

    Apple Podcasts
    5
    taiters13
    Canada10 months ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

Overall, feedback reflects a high level of satisfaction with how the content is presented, fostering a better understanding of technology's role in modern life.
Listeners appreciate the insightful and thought-provoking discussions that tackle complex topics in technology and society.
Many reviews highlight the accessible yet deep explorations of critical issues, mentioning the quality of both guests and the host.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#27
Canada/Technology
Apple Podcasts
#214
United Kingdom/Technology
Apple Podcasts
#230
Australia/Technology
Apple Podcasts
#178
South Africa/Technology
Apple Podcasts
#180
Chile/Technology
Apple Podcasts
#233
Ireland/Technology

Talking Points

Recent interactions between the hosts and their guests.

The Man Behind the World’s Most Coveted Microchip
Q: So how does that shape his company and the products he chooses to develop or not?
The operating philosophy at NVIDIA is driven by acting as if the company is about to fail, which ensures they remain nimble and reinvent what they're doing.
The Man Behind the World’s Most Coveted Microchip
Q: What did they initially build and for what purpose?
They were ace microchip designers targeting the gaming market, initially producing an innovative graphics processing unit.
The Man Behind the World’s Most Coveted Microchip
Q: What drives him? Does he have a philosophy or an ideology or an aspiration?
He's driven by fear of failure, guilt of letting down his employees and his company, and he hates losing more than he enjoys succeeding.
Wikipedia Won Our Trust. Can We Use That Model Everywhere?
Q: What happens if we lose trust in Wikipedia?
Wales emphasizes the importance of retaining trustworthy sources for democracy and underscores a proactive approach to criticisms of Wikipedia.
Wikipedia Won Our Trust. Can We Use That Model Everywhere?
Q: What steps could be taken to incorporate trust into AI development?
Wales suggests building AI's capacity to indicate ignorance, rewarding models that say 'I don't know,' to improve reliability.

Audience Metrics

Listeners, social reach, demographics and more for this podcast.

Listeners per Episode
Gender Skew
Location
Interests
Professions
Age Range
Household Income
Social Media Reach

Frequently Asked Questions About Machines Like Us

What is Machines Like Us about and what kind of topics does it cover?

Exploring the intersection of technology and society, this podcast presents in-depth discussions with influential voices from diverse fields related to artificial intelligence and its societal implications. Each episode features engaging conversations with entrepreneurs, lawmakers, and scholars who are at the forefront of technological advancements, shedding light on how emerging innovations such as AI, robotics, and biotechnology shape everyday life. Unique among similar offerings, the format emphasizes both the ethical responsibilities of technology creators and the transformative potential of innovations, making it a crucial resource for listeners interested in understanding the complexities of a rapidly evolving digital landscape.

Where can I find podcast stats for Machines Like Us?

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How many listeners does Machines Like Us get?

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What are the audience demographics for Machines Like Us?

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How many subscribers and views does Machines Like Us have?

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Which podcasts are similar to Machines Like Us?

These podcasts share a similar audience with Machines Like Us:

1. The Decibel
2. Ideas
3. The Current
4. Front Burner
5. The Big Story

How many episodes of Machines Like Us are there?

Machines Like Us launched 6 years ago and published 66 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

How do I contact Machines Like Us?

Our systems regularly scour the web to find email addresses and social media links for this podcast. We scanned the web and collated all of the contact information that we could find in our podcast database. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contacts for you.

Where can I see ratings and reviews for Machines Like Us?

Rephonic pulls ratings and reviews for Machines Like Us from multiple sources, including Spotify, Apple Podcasts, Castbox, and Podcast Addict.

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What guests have appeared on Machines Like Us?

Recent guests on Machines Like Us include:

1. Stephen Witt
2. Jimmy Wales
3. Rutger Bregman
4. Carole Cadwalladr
5. Ed Newton Rex
6. Jim Balsillie
7. Jay Rosen
8. Chris Hayes

To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.

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