
In Machines we Trust is your daily source for the latest in artificial intelligence. Each episode rounds up the biggest AI news, new breakthroughs, and the developments shaping technology, so you always know what is happening in the world of AI.
| Publishes | Daily | Episodes | 383 | Founded | 3 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | News CommentaryNews | |||

In this episode, we discuss Amazon's recent decision to block Meta's Muse AI, impacting the development of its innovative agent. We also explore the implications of this move on AI regulations and the ongoing discourse around technology and its capab... more
In this episode, we explore the exciting launch of a new lab in San Francisco, discussing its goals and potential impact on local innovation. Additionally, we cover Meta's introduction of a desktop app for Muse, looking at its features and how it cou... more
In this episode, we explore Figure's latest advancements in humanoid robotics, specifically their ability to perform general tasks in diverse environments. This breakthrough opens up exciting possibilities for the future of automation and human-robot... more
In this episode, we explore significant advancements in AI hardware, including Apple's return to the server market and collaboration with Nvidia. Additionally, we discuss SK hynix's plan to produce memory chips in the U.S., as well as an initiative t... more
People also subscribe to these shows.





Love that there’s a short informative and up-to-date. You can always research more on the topic if you’re interested.
I have learned so much listening to this show. AI is so impressive I appreciate how the host breaks this all down.
Key themes from listener reviews, highlighting what works and what could be improved about the show.
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #217 | |
Apple Podcasts | #44 | |
Apple Podcasts | #58 | |
Apple Podcasts | #144 | |
Apple Podcasts | #204 | |
Apple Podcasts | #213 |
Recent interactions between the hosts and their guests.
Listeners, social reach, demographics and more for this podcast.
| Listeners per Episode | |
|---|---|
| Gender Skew | |
| Location | |
| Interests | |
| Professions | |
| Age Range | |
| Household Income | |
| Social Media Reach |
A fast-paced daily briefing that rounds up the biggest AI news, breakthroughs, and policy shifts. Episodes cover platform moves, infrastructure bets, security and safety debates, and practical tools for developers and businesses, often weaving in personal observations and opinions about how AI is being adopted across industries. Noteworthy for its breadth, it regularly connects hardware, governance, and product updates to sketch the broader AI landscape, while offering actionable takeaways for listeners who want to understand what's shaping enterprise AI adoption, regulatory environments, and the competitive dynamics among tech giants.
A standout trait is the emphasis on timely, headline-style updates with concise context, making it a good... more
Rephonic provides a wide range of podcast stats for In Machines we Trust. 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 In Machines we Trust and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.
Rephonic provides a full set of podcast information for four million podcasts, including the number of listeners. View further listenership figures for In Machines we Trust, 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.
Rephonic provides comprehensive predictive audience data for In Machines we Trust, including gender skew, age, country, political leaning, income, professions, education level, and interests. You can access these listener demographics by upgrading your account.
To see how many followers or subscribers In Machines we Trust 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.
These podcasts share a similar audience with In Machines we Trust:
1. Dwarkesh Podcast
2. Practical AI
3. Bloomberg Tech
4. Hard Fork
5. The AI Daily Brief: Artificial Intelligence News and Analysis
In Machines we Trust launched 3 years ago and published 383 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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.
Rephonic pulls ratings and reviews for In Machines we Trust 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.
Rephonic provides full transcripts for episodes of In Machines we Trust. 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.
Recent guests on In Machines we Trust include:
1. Miriam Moradi
2. Connor Grennan
3. Gavriel Cohen
4. Dario Amodeo
5. Kirby Winfield
6. Molly Alter
7. Alexander Von Tobel
8. Marcy Vu
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.