Rephonic
Artwork for Training Data

Training Data

Sequoia Capital
Artificial Intelligence
Microsoft
Machine Learning
Software Development
Openai
Generative AI
Factory
Artificial General Intelligence
Reinforcement Learning
AI Agents
Deepmind
Customer Service
Pytorch
Large Language Models
Sweetbench
Zapier
AI Strategy
AI Integration
AI Inference
Alphago

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

PublishesWeeklyEpisodes55Foundeda year ago
Number of ListenersCategories
TechnologyBusiness

Listen to this Podcast

Artwork for Training Data

Latest Episodes

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

YouTube

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

YouTube

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

YouTube

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

YouTube

Key Facts

Accepts Guests
Contact Information
Podcast Host
Number of Listeners
Find out how many people listen to this podcast per episode and each month.

Similar Podcasts

People also subscribe to these shows.

Recent Guests

Paul Eremenko
CEO of P-1 AI, former director at DARPA, and youngest CTO of Airbus
P-1 AI
Episode: From Data Centers to Dyson Spheres: P-1 AI's Path to Hardware Engineering AGI
Amjad Masad
Founder and CEO of Replit
Replit
Episode: Replit CEO Amjad Masad on 1 Billion Developers: A Better End State than AGI?
Sahir Azam
Leads product and growth at MongoDB, architect behind Mongo's transformation to the cloud, focusing on AI developments.
MongoDB
Episode: MongoDB’s Sahir Azam: Vector Databases and the Data Structure of AI
Stef Corazza
Head of Generative AI at Roblox, a pioneer in using AI for game development.
Roblox
Episode: Roblox Studio Head Stef Corazza: Using AI to Empower Creators
Hema Raghavan
Co-founder and head of engineering at Kumo AI
Kumo AI
Episode: Kumo’s Hema Raghavan: Turning Graph AI into ROI
Kareem Amin
Co-founder and CEO of Clay.
Clay
Episode: Clay’s Kareem Amin on Building the Sales ‘System of Action’ with AI
Arvind Jain
Co-founder and CEO of Glean
Glean
Episode: How Glean CEO Arvind Jain Solved the Enterprise Search Problem – and What It Means for AI at Work
Dan Roberts
Former Sequoia AI fellow and current researcher at OpenAI
OpenAI
Episode: OpenAI Researcher Dan Roberts on What Physics Can Teach Us About AI
Jim Fan
Senior Research Scientist at Nvidia, leads Embodied AI agent research
Nvidia
Episode: Jim Fan on Nvidia’s Embodied AI Lab and Jensen Huang’s Prediction that All Robots will be Autonomous

Hosts

Sonya Huang
Co-host with a focus on discussions surrounding AI and its implications for technology, business, and society.
Pat Grady
Co-host, providing insights into the evolving AI landscape and its effects on various sectors.

Reviews

4.7 out of 5 stars from 100 ratings
  • Pretty cool

    Nice speakers

    Apple Podcasts
    5
    seth_vikas
    Germany3 months ago
  • Open evidence

    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

    Apple Podcasts
    1
    lalisyal
    United States4 months ago
  • Super insightful

    Great hosts and really great in the weeds convos here

    Apple Podcasts
    5
    joel fowler
    United Statesa year ago
  • Accessible with depth

    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.

    Apple Podcasts
    5
    Thomas J Myers
    United Statesa year ago
  • Incredible!

    Pat Grady and Sonya Huang are incredibly insightful and some of the sharpest investors of our generation!

    Apple Podcasts
    5
    JXu8
    United Statesa year ago

Listeners Say

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

Listeners appreciate the insightful conversations and the depth of knowledge shared by the hosts.
Many find the discussions accessible while still being thought-provoking, making complex AI topics understandable.
The hosts are praised for their engaging presentation style and inviting notable guests from the AI community.

Chart Rankings

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

Spotify
#41
United States/Technology
Apple Podcasts
#60
United States/Technology
Apple Podcasts
#37
United Kingdom/Technology
Apple Podcasts
#111
Canada/Technology
Apple Podcasts
#136
Germany/Technology
Apple Podcasts
#209
France/Technology

Talking Points

Recent interactions between the hosts and their guests.

From DevOps ‘Heart Attacks’ to AI-Powered Diagnostics With Traversal’s AI Agents
Q: What do you think about the incumbent risk in observability?
Observability is expensive and fragmented, leading to companies seeking agnostic solutions like Traversal.
From DevOps ‘Heart Attacks’ to AI-Powered Diagnostics With Traversal’s AI Agents
Q: Will DevOps or SRE exist five years from now?
Yes, but it will look different. AI and agents will take over urgent incident management, allowing engineers to focus on strategic planning.
The Breakthroughs Needed for AGI Have Already Been Made: OpenAI Former Research Head Bob McGrew
Q: Where do you see opportunities for new start-ups in the realm of AI agents?
Bob explains that while many think of agents as high-value items, the belief in scarcity won't hold as compute will allow for abundant access.
The Breakthroughs Needed for AGI Have Already Been Made: OpenAI Former Research Head Bob McGrew
Q: Can you help us unpack the trifecta of pre-training, post-training, and reasoning?
Bob outlines how these elements are essential for the future of AGI and current AI development.
From Data Centers to Dyson Spheres: P-1 AI's Path to Hardware Engineering AGI
Q: How do you expect that changes what the human engineers on the team are doing?
Archie will assist in product customization effectively reducing the engineering hours required.

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 Training Data

What is Training Data about and what kind of topics does it cover?

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.

Where can I find podcast stats for Training Data?

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.

How many listeners does Training Data get?

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.

What are the audience demographics for Training 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.

How many subscribers and views does Training Data have?

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.

Which podcasts are similar to Training Data?

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

How many episodes of Training Data are there?

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.

How do I contact Training Data?

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 Training Data?

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.

How do I access podcast episode transcripts for Training Data?

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.

What guests have appeared on Training Data?

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.

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