Rephonic
Artwork for Training Data

Training Data

Sequoia Capital
Artificial Intelligence
Openai
Large Language Models
Reinforcement Learning
Generative AI
Automation
Deepmind
Customer Experience
Sequoia Capital
Machine Learning
Software Development
Contact Center
Langchain
Chatgpt
AI Agents
Microsoft
Voice Technology
Elevenlabs
AI Audio
Artificial General Intelligence

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

PublishesTwice weeklyEpisodes109Founded2 years ago
Number of ListenersCategories
TechnologyBusiness

Listen to this Podcast

Artwork for Training Data

Latest Episodes

Starting a company is hard. Reinventing your company for AI as a public company with quarterly earnings results is even harder. Aaron Levie has pulled off the transition with Box and offers hard-won advice for founders. The cofounder and CEO of Box a... more

Most public safety technology companies grow by collecting more data. Peregrine inverted the model: no sensors, no new data, a business built on connecting the data and information cities already own. Co-founders Nick Noone and Ben Rudolph received m... more

YouTube

Parag Agrawal is making a bet that goes against two decades of web search: agents will query the web a thousand times more than humans ever have, and the infrastructure built around human clicks is wrong for them. The former Twitter CEO, now founder ... more

YouTube

Rich Sutton, who helped pioneer reinforcement learning and wrote the seminal AI essay The Bitter Lesson, has now cofounded Oak Lab with his former student Khurram Javed. Their goal: to build agents that continuously learn from their own experience ra... 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

Nick Noone
Co-founder of Peregrine
Peregrine
Episode: Making Cities Awesome: Peregrine’s Nick Noone & Ben Rudolph
Ben Rudolph
Co-founder of Peregrine
Peregrine
Episode: Making Cities Awesome: Peregrine’s Nick Noone & Ben Rudolph
Parag Agrawal
CEO turned founder, Parallel Web Systems
Parallel
Episode: Parallel’s Parag Agrawal: Building a New Web for AI Agents
Rich Sutton
Renowned AI researcher and reinforcement learning pioneer; professor and author
University of Alberta / Oak Lab
Episode: Rich Sutton and Khurram Javed: Why AI Models Stop Learning, and How to Start It Again
Khurram Javed
Co-founder of Oak Lab; former student and collaborator with Rich Sutton
Oak Lab
Episode: Rich Sutton and Khurram Javed: Why AI Models Stop Learning, and How to Start It Again
Jerry Tworek
Co-founder of Core Automation, former OpenAI VP
Core Automation / OpenAI
Episode: Building the Automated AGI Lab: Core Automation's Jerry Tworek and Rohan Anil
Rohan Anil
Co-founder of Core Automation, former Google Brain research lead
Core Automation / Google Brain
Episode: Building the Automated AGI Lab: Core Automation's Jerry Tworek and Rohan Anil
Matan Grinberg
Co-founder and CEO of Factory, maker of autonomous agents for software development
Factory
Episode: Factory's Matan Grinberg: The Coming ‘Dark Factory’ Where Software Builds Itself
Katelyn Lesse
Executive at Anthropic responsible for platform
Anthropic
Episode: Anthropic's Katelyn Lesse & Angela Jiang: Building an Ecosystem, not a Walled Garden

Host

Sonya Huang
Host of the podcast and interviewer

Reviews

4.7 out of 5 stars from 147 ratings
  • Pretty cool

    Nice speakers

    Apple Podcasts
    5
    seth_vikas
    Germanya year 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 States2 years ago
  • Super insightful

    Great hosts and really great in the weeds convos here

    Apple Podcasts
    5
    joel fowler
    United States2 years 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 States2 years ago
  • Incredible!

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

    Apple Podcasts
    5
    JXu8
    United States2 years ago

Listeners Say

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

Shows depth and breadth of AI topics with sharp hosts.
Great guests and in-the-weeds technical conversations.
Listeners appreciate the practical business and ecosystem insights alongside technical detail.
Hosts are insightful and contribute strong industry perspectives.
Accessible depth; foundational yet rigorous for newcomers and veterans alike.

Chart Rankings

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

Apple Podcasts
#157
United States/Technology
Apple Podcasts
#121
France/Technology
Apple Podcasts
#178
Germany/Technology
Apple Podcasts
#201
Australia/Technology
Apple Podcasts
#20
South Africa/Technology
Apple Podcasts
#25
South Korea/Technology

Talking Points

Recent interactions between the hosts and their guests.

Rich Sutton and Khurram Javed: Why AI Models Stop Learning, and How to Start It Again
Q: What ambitious direction are you pursuing with Oak Lab, and how might it change AI systems?
Oak Lab aims to build a mind capable of self-consistent learning across a broad spectrum of knowledge, combining small- and large-scale abstractions, planning, and reasoning, with continual learning to maintain coherence as it updates its world model.
Rich Sutton and Khurram Javed: Why AI Models Stop Learning, and How to Start It Again
Q: What is the Big World Hypothesis, and why is it important for AI planning and learning?
The Big World Hypothesis says the world is vastly more complex than any single model or mind can capture, so agents must rely on their own experience and adaptive learning to expand and improve their representations, rather than assuming a fixed, complete understanding from data alone.
Rich Sutton and Khurram Javed: Why AI Models Stop Learning, and How to Start It Again
Q: How do you address the problem of catastrophic forgetting in continual learning, and what specific techniques do you propose?
A solution involves per-weight step sizes learned through meta-learning to protect important weights, and a generate-and-test approach in feature space to continually add useful units without erasing prior knowledge. This combination enables sustained learning as new data arrives.
Rich Sutton and Khurram Javed: Why AI Models Stop Learning, and How to Start It Again
Q: What is the essence of The Bitter Lesson, and how should it shape our approach to AI research?
The essence is to avoid overemphasizing human priors and instead prioritize learning methods that scale with computation, letting systems learn from large-scale data and experience. This means building algorithms that improve as compute and data scale, rather than relying on hand-crafted knowledge.
Building the Automated AGI Lab: Core Automation's Jerry Tworek and Rohan Anil
Q: You've spoken about a 'transformer eulogy' and the need to appreciate what Transformers did well and where they fall short. How do you approach this balance in your lab work?
We acknowledge Transformers' efficiency and scale, but we stress the importance of moving toward models that learn from real-world tasks and data, not just benchmarks. Our focus is on end-to-end learning that pairs pre-training with continual, test-time learning and architectural innovations that enable sustained adaptability.

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 program spotlights the latest in AI technology, research, and enterprise adoption through long-form conversations with founders, researchers, and senior practitioners. Episodes frequently explore agentic and autonomous AI, scalable infrastructure, memory and continual learning, and practical deployment challenges in biotech, robotics, and enterprise software. Listeners can expect deep dives into system design, safety, and business implications, with a notable emphasis on open ecosystems, modular platforms, and the tension between cutting-edge innovation and real-world production constraints. A standout pattern is the mix of technical rigor and pragmatic storytelling from leaders at top research labs, startups, and major tech companies,... more

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 four 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. Y Combinator Startup Podcast
4. The a16z Show
5. Dwarkesh Podcast

How many episodes of Training Data are there?

Training Data launched 2 years ago and published 109 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. Nick Noone
2. Ben Rudolph
3. Parag Agrawal
4. Rich Sutton
5. Khurram Javed
6. Jerry Tworek
7. Rohan Anil
8. Matan Grinberg

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