In Machines we Trust
In Machines we Trust"In Machines We Trust" is a captivating podcast that delves deep into the world of technology and innovation. Each episode explores a range of cutting-edge topics and current news, offering listeners insights into the rapidly evolving digital landscape. Our discussions focus on how these technological advancements impact society, economy, and our daily lives. Join us as we navigate the intricate a... more
| Publishes | Daily | Episodes | 270 | Founded | 2 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Technology | |||
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Latest Episodes
In this episode, we explore Perplexity's new agent tool for premium subscribers, which unifies 19 AI models for complex workflows. We also discuss Perplexity's evolving business strategy, including its shift from advertising to targeting a niche audi... more
In this episode, we explore the evolving landscape of AI in music, highlighting the rapid growth of platforms like Suno and Google's Lyria 3. We also discuss the legal battles and licensing agreements shaping this innovative sector.
Chapters
01:35 S... more
In this episode, we break down OpenAI’s record-breaking $110 billion raise and what it signals about the future of AI investment. We also explore how the company reached 900 million weekly users and what this massive scale means for competition, infr... more
Jamie & Jaeden discuss Airbnb's ambitious plans to weave AI into its search, discovery, and support systems, and how these changes could impact users and hosts. They also explore potential opportunities and challenges for the platform given the rise ... more
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- Informative bite size episodes
Love that there’s a short informative and up-to-date. You can always research more on the topic if you’re interested.
Apple Podcasts5Lenny1114
United States3 months ago - This show is amazing for AI
I have learned so much listening to this show. AI is so impressive I appreciate how the host breaks this all down.
Apple Podcasts5TechFan09086United States4 months ago
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Apple Podcasts | #85 |  Hong Kong/Technology |
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Frequently Asked Questions About In Machines we Trust
What is In Machines we Trust about and what kind of topics does it cover?
The content examines a wide array of technology-related themes, focusing on the implications of advancements in artificial intelligence, machine learning, and automation. Through engaging discussions, it offers insights into how these innovations reshape various sectors, from finance to healthcare and everyday life. Notable episodes tackle high-profile topics such as multi-billion dollar funding rounds for AI startups, the competitive landscape of machine learning tools, and the future of smart devices, including AI-powered glasses. Listeners are likely to appreciate the thoughtful analysis and expert commentary that make complex technological developments accessible and relevant to modern society.
Where can I find podcast stats for In Machines we Trust?
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.
How many listeners does In Machines we Trust get?
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.
What are the audience demographics for In Machines we Trust?
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.
How many subscribers and views does In Machines we Trust have?
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.
Which podcasts are similar to In Machines we Trust?
These podcasts share a similar audience with In Machines we Trust:
1. The AI Daily Brief: Artificial Intelligence News and Analysis
2. Hard Fork
3. The Daily
4. The Ezra Klein Show
5. Pivot
How many episodes of In Machines we Trust are there?
In Machines we Trust launched 2 years ago and published 270 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 In Machines we Trust?
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 In Machines we Trust?
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.
How do I access podcast episode transcripts for In Machines we Trust?
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.
What guests have appeared on In Machines we Trust?
Recent guests on In Machines we Trust include:
1. Dario Amodeo
2. Kirby Winfield
3. Molly Alter
4. Alexander Von Tobel
5. Marcy Vu
6. Lone Jeff
7. Tom Hendrickson
8. Emily Zhao
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.