Join us as we train our neural nets on the theme of the century: AI. Sonya Huang, Pat Grady and more Sequoia Capital partners host conversations with leading AI builders and researchers to ask critical questions and develop a deeper understanding of the evolving technologies—and their implications for technology, business and society. The content of this podcast does not constitute investment adv... more
Publishes | Weekly | Episodes | 55 | Founded | a year ago |
---|---|---|---|---|---|
Number of Listeners | Categories | TechnologyBusiness |
Eric Ho is building Goodfire to solve one of AI’s most critical challenges: understanding what’s actually happening inside neural networks. His team is developing techniques to understand, audit and edit neural networks at the feature level. Eric dis... more
Mati Staniszewski, co-founder and CEO of ElevenLabs, explains how staying laser-focused on audio innovation has allowed his company to thrive despite the push into multimodality from foundation models. From a high school friendship in Poland to build... more
Anish Agarwal and Raj Agrawal, co-founders of Traversal, are transforming how enterprises handle critical system failures. Their AI agents can perform root cause analysis in 2-4 minutes instead of the hours typically spent by teams of engineers scram... more
As OpenAI's former Head of Research, Bob McGrew witnessed the company's evolution from GPT-3’s breakthrough to today's reasoning models. He argues that there are three legs of the stool for AGI—Transformers, scaled pre-training, and reasoning—and tha... more
People also subscribe to these shows.
Nice speakers
domain ignorance.Physicians overriding concern in private setting is repetitiveness of practice and in enterprise setting is how to address RVU’s not edge cases. It is like putting cart in front of horse
Great hosts and really great in the weeds convos here
The first episode is essentially just Harrison Chase laying out “why agents” for an hour, in the best way possible. If his episode is any indication of what’s to come, this is going to be one of the best sources for a foundational understanding of what’s going on in the space.
Pat Grady and Sonya Huang are incredibly insightful and some of the sharpest investors of our generation!
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.
Spotify | #41 | |
Apple Podcasts | #60 | |
Apple Podcasts | #37 | |
Apple Podcasts | #111 | |
Apple Podcasts | #136 | |
Apple Podcasts | #209 |
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 |
This podcast focuses on the transformative impact of artificial intelligence on technology, business, and society. Through conversations with prominent AI builders, researchers, and industry leaders, the hosts explore critical themes such as the evolution of AI technologies, ethical implications, and future possibilities within various domains. Featuring insights from influential figures in the field, episodes highlight innovations in areas like software development, hardware engineering, and medical research, offering a well-rounded perspective on how AI is shaping modern challenges and opportunities. The podcast is distinguished by its in-depth analysis and accessibility, making complex topics relatable to a wider audience.
Rephonic provides a wide range of podcast stats for Training Data. 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 Training Data 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 Training Data, 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 Training Data, 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 Training Data 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 Training Data:
1. No Priors: Artificial Intelligence | Technology | Startups
2. AI + a16z
3. Latent Space: The AI Engineer Podcast
4. Unsupervised Learning
5. Lightcone Podcast
Training Data launched a year ago and published 55 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 Training Data 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 Training Data. 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 Training Data include:
1. Paul Eremenko
2. Amjad Masad
3. Sahir Azam
4. Stef Corazza
5. Hema Raghavan
6. Kareem Amin
7. Arvind Jain
8. Dan Roberts
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.