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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
Misinformation
Democracy
Character AI
Mental Health
Media Landscape
Journalism
Trust In Media
Paul Wells Show
AI Ethics
Suicide
Sewell Garcia
Consumer Protection
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

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

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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

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In Rutger Bregman’s first book, Utopia for Realists, the historian describes a rosy vision of the future – one with 15-hour work weeks, universal basic income and massive wealth redistribution.

It’s a vision that, in the age of artificial intelligen... more

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At Donald Trump’s inauguration earlier this year, the returning president made a striking break from tradition. The seats closest to the president – typically reserved for family – went instead to the most powerful tech CEOs in the world: Elon Musk, ... more

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Recent Guests

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
Frank Lantz
Game designer, director of the NYU Game Center, and author of The Beauty of Games
NYU Game Center
Episode: AI Has Mastered Chess, Poker and Go. So Why Do We Keep Playing?

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
    Canadaa month ago
  • Recommended

    Stimulating, interesting and occasionally challenging

    Apple Podcasts
    5
    imrandall
    Canada7 months ago
  • excellent!

    well researched; energetically and engagingly hosted. kudos!

    Apple Podcasts
    5
    sir speaksalot
    Canada8 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
    Australia9 months ago
  • Impressive depth

    The interviews are really well constructed. Appreciate the depth

    Apple Podcasts
    5
    taiters13
    Canada9 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
#45
Canada/Technology
Apple Podcasts
#197
Australia/Technology
Apple Podcasts
#224
France/Technology
Apple Podcasts
#235
Germany/Technology
Apple Podcasts
#119
Norway/Technology
Apple Podcasts
#177
Chile/Technology

Talking Points

Recent interactions between the hosts and their guests.

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.
Wikipedia Won Our Trust. Can We Use That Model Everywhere?
Q: Why is the model of Wikipedia so different from social media platforms?
Wales explains that Wikipedia has a defined purpose of creating a reliable encyclopedia, whereas social media often prioritizes engagement, leading to toxic behavior.
Wikipedia Won Our Trust. Can We Use That Model Everywhere?
Q: How do you define and enforce the spirit with which people engage on the platform?
Civility is critical for creating a high-quality and neutral encyclopedia; engaging kindly with others fosters a respectful environment for discussion.
Wikipedia Won Our Trust. Can We Use That Model Everywhere?
Q: What made you think an encyclopedia, an online encyclopedia was a good idea?
Wales recognized the potential for collaborative work on cultural works, inspired by the growth of free and open-source software, seeing it as an exciting opportunity.

Audience Metrics

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

Listeners per Episode
Gender Skew
Location
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Age Range
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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.

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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?

To see how many followers or subscribers Machines Like Us has on Spotify and other platforms such as Castbox and Podcast Addict, simply upgrade your account. You'll also find viewership figures for their YouTube channel if they have one.

Which podcasts are similar to Machines Like Us?

These podcasts share a similar audience with Machines Like Us:

1. The Decibel
2. Hard Fork
3. Front Burner
4. The Gray Area with Sean Illing
5. The Ezra Klein Show

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

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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