Rephonic
Artwork for Intelligent Machines

Intelligent Machines (Video)

TWiT
Artificial Intelligence
Google
Artificial General Intelligence
Openai
Tiktok
AI Safety
Ray Kurzweil
Journalism
NVIDIA
Meta
Misinformation
AI
Consumer Reports
Anthropic
Elon Musk
AI Technology
AI Ethics
Deepseek
John Mccarthy
Facebook

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

PublishesWeeklyEpisodes30Founded14 years ago
Number of ListenersCategory
Technology

Listen to this Podcast

Artwork for Intelligent Machines

Latest Episodes

This episode unpacks how an unprecedented anti-data center backlash swept the 2026 elections, leaving tech giants scrambling and upending the future of AI infrastructure. Find out why voters everywhere said "no" and what it means for the next wave of... more

Is the AI gold rush running on shaky ground? Get the inside story on Anthropic's blockbuster IPO, massive compute bets, and why some insiders think the industry's economics just don't add up.

• Anthropic's IPO S-1 Spells Out a Future of Promise and ... more

From AI-generated Halloween scares to personal assistants that just won't quit, the age of at-home intelligence is here. But with each new feature, your privacy, security, and digital autonomy hang in the balance.

• Nemotron 3.5 Super VL

• Meta's ... more

GitHub's developer relations VP, Martin Woodward, reveals just how dramatically AI agents are reshaping who codes, what gets built, and why open source maintainers are overwhelmed by a tidal wave of pull requests. If you thought Copilot was disruptiv... more

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

Martin Woodward
Vice President of Developer Relations at GitHub.
GitHub
Episode: IM 892: Pants-based Benchmarks - GitHub's Agent Revolution
Spencer Thompson
CEO and founder of Origin Technology
Origin Technology
Episode: IM 891: Previously on Swarm Chasers - Digital Swarms and the Persistence Problem
Mike Gannotti
SMF Works founder and AI Solutions Engineer
SMF Works / Microsoft Healthcare and Life Sciences
Episode: IM 890: 200 Donuts - How One Engineer Manages a Team of 24 AIs
Patrick Hillmann
COO & CSO of Logical Intelligence; former crisis communications leader at Binance and GE; crypto industry veteran
Logical Intelligence
Episode: IM 889: We Are the Neanderthals - Why LLMs Fail at Complex Reasoning
Lon Seidman
YouTube tech reviewer and creator of LonTV
LonTV
Episode: IM 888: Large Linguine Model - Inside the AI Doom Debate
Matthew Cassinelli
Apple AI expert, founder of supercomputer.tech, specializes in Siri AI integrations and AppIntense
supercomputer.tech / AppIntense
Episode: IM 887: September 39th - Siri's Next Move: Inside Apple's Ambitious AI Overhaul
Div Garg
Founder and CEO, AGI Inc.
AGI Inc.
Episode: IM 886: Infinite Slop - The End of Apps? Meet the Agentic OS Built for Your Phone
Christina Warren
Host of MacBreak Weekly, developer relations at GitHub, former DeepMind
GitHub
Episode: IM 885: Get on the Butter Box - Can Local AI Models Outperform Frontier Labs?
Dan O'Dowd
Founder of the Dawn Project
Dawn Project
Episode: IM 884: Cyber Jim - Why Critical Infrastructure Depends on Obsessive Code Reviews

Hosts

Jeff Jarvis
Host of Intelligent Machines; seasoned technology journalist and media commentator.
Paris Martineau
Co-host and investigative journalist focused on technology and consumer affairs.

Reviews

4.4 out of 5 stars from 173 ratings
  • Enjoy tech? This is a good choice for you!

    Been listening to this podcast weekly for years. One of my favorite shows to listen to every week and the current line up of Leo, Jeff, and Paris I must say slays. If you enjoy learning about tech, AI, and some current events and want a show that feels like it takes place around your coffee table…check out this podcast, you won’t be disappointed.

    Apple Podcasts
    5
    Philburnsurvivor4
    United States4 months ago
  • Highly Intelligent and always entertaining.

    As a longtime, faithful listener of Intelligent Machines, I cannot overstate how much this podcast means to me. The dynamic trio of Leo Laporte, Paris Martineau, and Jeff Jarvis never fail to impress with their insightful, funny, and deeply meaningful conversations. Every episode feels like sitting down with friends who not only understand the ever-evolving world of technology but know how to make it captivating and (dare I say) outright entertaining.

    What sets Intelligent Machines apart is the ... more

    Apple Podcasts
    5
    BruceAllan
    United Statesa year ago
  • Best Show Ever

    I have been listening to this for about 5 months now and is probally one of my favourite shows on twit. Paris has probally one of the best one liners ever. it is also the only podcast that wiil review some of the weirdist movies ever

    Apple Podcasts
    5
    Seth9356
    Canadaa year ago
  • Not what I thought

    I am giving a five star review because I love the twit network and Leo but this show I would give 1 star. I really thought it was going to have a similar structure to other shows.

    A certain amount of time on current news and a certain amount of time reviewing/talking about new AI software or devices, and maybe a segment where they recommend their favorite AI app and what they use it for but it is just one long moral/philosophical circular argument back and forth between the speakers about what... more

    Apple Podcasts
    5
    --Dashes--
    United Statesa year ago
  • Love the show!!

    We’ve been watching Leo since the old screen saver days, when he recorded in Toronto. Intelligent machines is our weekly Thursday in-service for all things AI. Great conversations and excellent guests.

    Apple Podcasts
    5
    LG from Ontario
    Canadaa year ago

Listeners Say

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

Hosts mix humor with serious analysis, making complex topics accessible.
Listeners praise depth of conversations and practical takeaways for organizations.
Guest variety is strong, spanning policy, security, and open-source AI.
Shows deliver insightful, up-to-date tech news with deep dives on AI policy and governance.
Long-time fans appreciate the show's evolution and ongoing relevance to AI and tech.

Chart Rankings

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

Apple Podcasts
#114
United States/Technology
Apple Podcasts
#133
United Kingdom/Technology
Apple Podcasts
#196
Canada/Technology
Apple Podcasts
#98
Australia/Technology
Apple Podcasts
#232
Italy/Technology
Apple Podcasts
#150
Saudi Arabia/Technology

Talking Points

Recent interactions between the hosts and their guests.

IM 894: Ghosting Meta Muse - Will Cloud Spending Sink AI's Biggest Players?
Q: Would you invest in Anthropic?
The discussion weighs Anthropic's enterprise traction and trusted-brand strategy against its huge compute commitments, intense competition, uncertain market value, and the possibility that AI models will become cheaper and more interchangeable.
IM 894: Ghosting Meta Muse - Will Cloud Spending Sink AI's Biggest Players?
Q: What immediately stood out to you as any red flags and green flags?
Jason Hiner says Anthropic's compute commitments create major risk because future demand, model efficiency, and local computing could change the economics of its infrastructure spending. He also notes that Anthropic has substantial enterprise revenue and expects AI adoption to keep growing.
IM 893: It All Comes Back to Cats - From Academic Papers to 1.2 Million Startup Ideas
Q: Do we get to the point where we can presume the software is going to be nearly bulletproof, that at least to the capability of current models that it's possible to get to that?
Louis Maresca says vulnerabilities may become less common as organizations use AI to find and fix bugs, but attackers will also use open-weight models, making cybersecurity an ongoing race.
IM 893: It All Comes Back to Cats - From Academic Papers to 1.2 Million Startup Ideas
Q: What do you think this is going to change stuff?
The hosts say open-weight, locally runnable models can make agentic AI more accessible, improve user control, and give businesses alternatives to cloud models, while noting hardware and safety limitations.
IM 892: Pants-based Benchmarks - GitHub's Agent Revolution
Q: What is the advice you give to coders, to the pros who are saying, I can't live in this new world?
Woodward advises developers to learn to work with AI, saying the job is to solve problems in the easiest way possible. He acknowledges that the faster pace can be difficult and that some people miss the craft of coding.

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?

A tech-focused discussion series that probes the cutting edge of AI, governance, journalism, and security. Conversations often center on how AI tools impact media, policy, and everyday life, with episodes weaving practical deployment insights, regulatory considerations, and business implications for brands and developers. Guests tend to be high-signal thinkers—from policy makers and security researchers to open-source advocates and industry analysts—delivering a mix of technical depth, real-world anecdotes, and strategic guidance for organizations adopting or shaping AI-enabled technology. A notable strength is the ability to pair broad policy questions with concrete product and industry implications, helping listeners understand both risks... 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 four 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 (Video)
2. MacBreak Weekly (Video)
3. Intelligent Machines (Audio)
4. MacBreak Weekly (Audio)
5. This Week in Tech (Audio)

How many episodes of Intelligent Machines are there?

Intelligent Machines launched 14 years ago and published 30 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. Martin Woodward
2. Spencer Thompson
3. Mike Gannotti
4. Patrick Hillmann
5. Lon Seidman
6. Matthew Cassinelli
7. Div Garg
8. Christina Warren

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