
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 | 357 | Founded | 3 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Technology | |||

In this episode, we highlight the emergence of Kimi K3 as a leader over Anthropic. We also analyze how Apple continues to eclipse Nvidia in the tech arena.
In this episode, we break down Apple's lawsuit against OpenAI over the hiring of more than 40... more
In this episode, we discuss AWS’s massive $1 billion leap into the AI landscape. We also highlight the recently launched AI model from Thinking Machines.
Chapters
00:00 Introduction to Inkling
01:01 OpenAI's GPT-RED
01:59 AI Box's MCP Server
05:00 A... more
In this episode, we explore Anthropic's new pricing strategy for Claude in India, highlighting its surprising cost compared to the US. We also discuss the ongoing tensions between Sam Altman and Elon Musk, get into Apple's lawsuit against OpenAI, and... more
In this episode, we examine trust issues arising from the shutdown of OpenAI's Atlas. We also discuss how MuseSpark from Meta might restore confidence.
Chapters
00:00 OpenAI Shuts Down Atlas
03:05 Meta Launches MuseSpark 1.1
06:32 Sunrun's AI Data C... 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 | #94 | |
Apple Podcasts | #137 | |
Apple Podcasts | #152 | |
Apple Podcasts | #186 |
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 tech-focused show delivering rapid-fire analysis on AI, big tech moves, and practical implications for business. Episodes span market dynamics, AI tooling, governance, and enterprise budgeting, often weaving in personal experiments and real-world anecdotes to illustrate how advancements affect developers, product teams, and organizations. Noteworthy tendencies include a hands-on, sometimes provocative take on OpenAI, Anthropic, SpaceX, and hyperscalers, plus a steady stream of practical tips for budgeting, implementation, and responsible AI use. The format tends to be concise but information-dense, appealing to listeners who want actionable context for technology trends and decision-making in fast-moving environments. It probably attracts... 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 three 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. The AI Daily Brief: Artificial Intelligence News and Analysis
2. Uncanny Valley | WIRED
3. Hard Fork
4. Bloomberg Tech
5. Interesting Times with Ross Douthat
In Machines we Trust launched 3 years ago and published 357 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. Gavriel Cohen
2. Connor Grennan
3. Dario Amodeo
4. Kirby Winfield
5. Molly Alter
6. Alexander Von Tobel
7. Marcy Vu
8. Lone Jeff
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.