Rephonic
Artwork for Intelligent Machines

Intelligent Machines (Audio)

TWiT
Google
Samsung
Openai
Pixel Phone
Gemini AI
Congressional Testimony
Internet Memes
Sovereign AI
Elon Musk
AI Technology
Charles Schulz Museum
Verizon
Right To Repair Laws
AI Ethics
Cryptocurrency
AI Regulation
Mark Zuckerberg
Copyright
Baby Gronk
Joan Donovan

The 21st Century began with the rise of the Internet and social media. The next decade will mark the rise of the Intelligent Machines. AI will inhabit all our devices from cars and appliances to smart phones and robots. The Intelligent Machines podcast explores the most exciting revolution humanity has ever seen, filled with promise and peril. More than ever we need to understand what these new de... more

PublishesWeeklyEpisodes175Founded16 years ago
Number of ListenersCategory
Technology

Listen to this Podcast

Artwork for Intelligent Machines

Latest Episodes

Is the future of artificial intelligence running on your desk instead of in massive data centers? This episode breaks down how Nvidia's Blackwell chip and HP's new ZGX Nano could let anyone fine-tune jaw-dropping language models at home—and why priva... more

YouTube

Can open-source AI models really be truly neutral, or are they just another conduit for hidden agendas? Hear how the founder of Nous Research is battling Silicon Valley giants to put ethical, user-controlled AI in everyone's hands.

• TOpinion | The ... more

YouTube

From lawmakers cracking down on loud ads to Deloitte caught peddling AI-fabricated reports, this episode explores how tech's greatest promises and worst follies are colliding right now.

• No more loud commercials: Governor Newsom signs SB 576 | Gove... more

YouTube

What happens when ex-Google innovators build an AI-powered app that turns your emails, favorite subreddits, and even your calendar into a custom radio station you can talk to? In this episode, the creators of Hux reveal how they're reimagining the wa... more

YouTube

Key Facts

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

Recent Guests

Raiza Martin
Co-founder of Hux
Hux
Episode: IM 839: Cogsuckers and Clankers - Radio's New Golden Age or Apocalypse?
Nick Foster
Author and former EDM DJ, worked with large tech companies
Episode: IM 837: Could Should Might Don't - Why Tomorrow Doesn't Feel Like Sci-Fi
Carl Bergstrom
Professor from the University of Washington
University of Washington
Episode: IM 836: I See OJ and He Looks Scared - Modern Oracles or Modern BS?
Jevin West
Professor from the University of Washington
University of Washington
Episode: IM 836: I See OJ and He Looks Scared - Modern Oracles or Modern BS?
Karen Hao
Author of 'Empire of AI' and a senior editor at MIT Technology Review covering AI
MIT Technology Review
Episode: IM 835: Glitch Lord - Inside OpenAI's Secret Struggles and the "Empire of AI" With Karen Hao
MG Siegler
Venture capitalist and writer about AI
Spyglass
Episode: IM 834: Gewgaw - Google's Nano Banana Model
Rich Skrenta
Executive Director of Common Crawl Foundation
Common Crawl
Episode: IM 833: The Most Popular S3 Bucket Ever - AI Slop, Clankers, and Shrimp
Tulsee Doshi
Senior Director and Product Lead of Gemini Models at Google
Google
Episode: IM 832: Surrounded by Zuck - Inside Google Gemini
Vlad Prelovac
Founder and CEO of Kagi
Kagi
Episode: IM 831: 9 Seconds of Google - Holy Widgets

Hosts

Jeff Jarvis
Co-host and Professor Emeritus of Journalistic Innovation at the Craig Newmark Graduate School of Journalism, with a focus on the intersection of technology and journalism.
Paris Martineau
Co-host and Investigative Journalist at Consumer Reports, known for her critical insights into technology and consumer advocacy.

Reviews

4.3 out of 5 stars from 1.2k ratings
  • Weekly listener

    This is one podcast I always look forward to hearing on release day. I’m glad they shifted to a focus on AI, when it was TWiG the show was mostly a second TWiT. I’m curious to know whether Paris receives hazard pay for putting up with Leo and Jeff each week.

    Apple Podcasts
    5
    victorwynne.com
    United States7 days ago
  • 2 of the hosts are just AI cynics

    I’m all for skepticism but two of the hosts just kneejerk hate everything. Paris is by far the worst offender. I get there’s plenty of people that are her inverse, but for an AI podcast, i’d prefer the host not to sound like they’re perpetually eye rolling anytime AI is mentioned. What are we doing here?

    Apple Podcasts
    2
    mountenneer
    United States22 days ago
  • We love Paris!!

    A show that boldly goes where no bot has gone before, serving a delightful cocktail of AI, antics, and wit. I only wish there was more masterfully, catchy theme songs that eat through like an ear worm, reminiscent of the “baby shark”phenomenon.

    Apple Podcasts
    5
    My review’s tech
    United States24 days ago
  • Guests are interesting, I turn it off after that.

    The guests are usually interesting, the rest is just the hosts rambling about various things they find interesting and their opinions on various topics, some related to AI.

    Apple Podcasts
    2
    BenTsuki
    United Statesa month ago
  • The host thinks he's smarter than he is

    The topics can be interesting, and the other regulars and guests tend to be pretty sharp, but the main host who owns the show just bumbles around in the middle of it all making genuinely inane comments, and others just have to work around him. So I can only listen to this podcast in small doses as that does get a bit grating after a while.

    Apple Podcasts
    3
    KiteO
    Australiaa month ago

Listeners Say

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

Critics mention an increasing focus on politics as a downside, detracting from the tech-centric discussions.
Listeners appreciate the show's expert guests and engaging discussions about AI.
Overall, the balance of fun and informative content has garnered high praise.
The combination of humor and insightful commentary keeps audiences coming back for more.

Chart Rankings

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

Apple Podcasts
#108
United States/Technology
Apple Podcasts
#84
Canada/Technology
Apple Podcasts
#93
United Kingdom/Technology
Apple Podcasts
#70
Australia/Technology
Apple Podcasts
#65
Israel/Technology
Apple Podcasts
#81
Netherlands/Technology

Talking Points

Recent interactions between the hosts and their guests.

IM 838: Fat Bears Live Now! - Inside the AI Gold Rush
Q: Do you have some concerns about it?
Levy expresses concerns about how AI technologies may harm employment opportunities for entry-level jobs and how AI could be exploited maliciously.
IM 838: Fat Bears Live Now! - Inside the AI Gold Rush
Q: Do you have a sense of what a fair or workable kind of collective license system for books could even look like?
Levy suggests that there can be feasible licensing models similar to music licensing that could be developed with the cooperation of organizations to fairly compensate authors.
IM 838: Fat Bears Live Now! - Inside the AI Gold Rush
Q: Why do you think it's a good thing?
Levy explains that paying authors when their books are used in training AI aligns with compensating professionals while recognizing the importance of intellectual property.
IM 833: The Most Popular S3 Bucket Ever - AI Slop, Clankers, and Shrimp
Q: How does Common Crawl kind of solve this or cut this Gordian knot?
Common Crawl participates in efforts to archive significant content, helping ensure accessibility while working within the constraints of rights and fair use.
IM 832: Surrounded by Zuck - Inside Google Gemini
Q: How do we make Gemini better for teachers and for students?
We want to work with individuals who are experts in the fields that they're working on and making sure that the model is great at responding in ways that are helpful to them.

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 Intelligent Machines

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

The content focuses on the rapid evolution and impact of artificial intelligence across various sectors, discussing both its potential benefits and ethical dilemmas. Frequent deep dives into the workings and implications of technologies in everyday life, combine technical insights with broader societal reflections. Topics often range from the latest AI advancements and diverse applications to personal anecdotes, critiques, and debates about the industry's direction, particularly examining how emerging tech intersects with issues of privacy, labor, and societal norms. Unique to this show is the dynamic interplay between hosts and guests, blending informative discussions with entertainment, making complex AI concepts accessible and engaging f... more

Where can I find podcast stats for Intelligent Machines?

Rephonic provides a wide range of podcast stats for Intelligent Machines. We scanned the web and collated all of the information that we could find in our comprehensive podcast database. See how many people listen to Intelligent Machines and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.

How many listeners does Intelligent Machines get?

Rephonic provides a full set of podcast information for three million podcasts, including the number of listeners. View further listenership figures for Intelligent Machines, including podcast download numbers and subscriber numbers, so you can make better decisions about which podcasts to sponsor or be a guest on. You will need to upgrade your account to access this premium data.

What are the audience demographics for Intelligent Machines?

Rephonic provides comprehensive predictive audience data for Intelligent Machines, including gender skew, age, country, political leaning, income, professions, education level, and interests. You can access these listener demographics by upgrading your account.

How many subscribers and views does Intelligent Machines have?

To see how many followers or subscribers Intelligent Machines 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 Intelligent Machines?

These podcasts share a similar audience with Intelligent Machines:

1. This Week in Tech (Audio)
2. MacBreak Weekly (Audio)
3. Windows Weekly (Audio)
4. Tech News Weekly (Audio)
5. iOS Today (Audio)

How many episodes of Intelligent Machines are there?

Intelligent Machines launched 16 years ago and published 175 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 Intelligent Machines?

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 Intelligent Machines?

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

View all the reviews in one place instead of visiting each platform individually and use this information to decide if a show is worth pitching or not.

How do I access podcast episode transcripts for Intelligent Machines?

Rephonic provides full transcripts for episodes of Intelligent Machines. Search within each transcript for your keywords, whether they be topics, brands or people, and figure out if it's worth pitching as a guest or sponsor. You can even set-up alerts to get notified when your keywords are mentioned.

What guests have appeared on Intelligent Machines?

Recent guests on Intelligent Machines include:

1. Raiza Martin
2. Nick Foster
3. Carl Bergstrom
4. Jevin West
5. Karen Hao
6. MG Siegler
7. Rich Skrenta
8. Tulsee Doshi

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.

Find and pitch the right podcasts

We help savvy brands, marketers and PR professionals to find the right podcasts for any topic or niche. Get the data and contacts you need to pitch podcasts at scale and turn listeners into customers.
Try it free for 7 days