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Training Data

Sequoia Capital
Artificial Intelligence
Openai
Reinforcement Learning
Large Language Models
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 weeklyEpisodes105Founded2 years ago
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Latest Episodes

Most people treat biology as a bespoke, messy science. Josh Meier and Matt McPartlon, co-founders of Chai Discovery, treat it as an engineering problem. They make the case that drug design obeys the bitter lesson: scale data, models, and compute, and... more

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Jerry Tworek led reasoning at OpenAI, convinced that scaling reinforcement learning was the path to AGI. Rohan Anil co-led Gemini pre-training and built the Shampoo optimizer. Now they've teamed up at Core Automation on a contrarian premise: the tran... more

YouTube

Factory started building fully autonomous coding agents in April 2023, two years before enterprises were ready. Matan Grinberg now says this is indistinguishable from being wrong. The Factory co-founder and CEO explains how the company survived its "... more

YouTube

Katelyn Lesse and Angela Jiang lead the team building Anthropic's developer platform - the layer that both outside builders and Anthropic's own products run on top of. Angela frames the platform as a three-layer stack: knowledge, execution, and coord... more

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Recent Guests

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
Angela Jiang
Executive at Anthropic involved in platform architecture
Anthropic
Episode: Anthropic's Katelyn Lesse & Angela Jiang: Building an Ecosystem, not a Walled Garden
Dan Biderman
Co-founder of Engram
Engram
Episode: Memory and Continual Learning: Engram's Dan Biderman and Jessy Lin
Jessy Lin
Co-founder of Engram
Engram
Episode: Memory and Continual Learning: Engram's Dan Biderman and Jessy Lin
Joon Sung Park
Founder and CEO of Simile
Simile
Episode: Simulating Humans at Scale: Simile's Joon Sung Park
Logan Kilpatrick
Head of Google AI Studio and the Gemini API
Google
Episode: Google DeepMind's Logan Kilpatrick: Why the Model Eats the Harness
Jensen Huang
CEO and founder of Nvidia
Nvidia
Episode: LIVE: Jensen Huang on Building the Dynamo of the Intelligence Age
Alfred Wahlforss
Founder and CEO of Listen Labs
Listen Labs
Episode: Knowing What Your Customers Want, All the Time: Listen Labs' Alfred Wahlforss

Host

Sonya Huang
Host of Training Data; introducing topics and guiding the interview

Reviews

4.7 out of 5 stars from 145 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 Statesa year 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.

Hosts bring clarity and sharp strategic questions to complex topics
Strong emphasis on practical lessons for implementing AI in real-world settings
Listeners appreciate the blend of engineering detail and business context
Thoughtful guests and deep technical dives that illuminate AI infrastructure

Chart Rankings

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

Spotify
#42
United States/Technology
Apple Podcasts
#99
United States/Technology
Spotify
#50
United Kingdom/Technology
Apple Podcasts
#124
Canada/Technology
Apple Podcasts
#171
United Kingdom/Technology
Apple Podcasts
#91
Australia/Technology

Talking Points

Recent interactions between the hosts and their guests.

Factory's Matan Grinberg: The Coming ‘Dark Factory’ Where Software Builds Itself
Q: What enabled you to keep the team together during the difficult period in the desert, and how did you ensure you didn't lose key talent?
A disciplined hiring strategy focused on mission obsession, clear feedback loops, and a shared sense of purpose helped retain critical people who believed in building autonomy for software engineering.
Factory's Matan Grinberg: The Coming ‘Dark Factory’ Where Software Builds Itself
Q: How did your customers react when you told them you were returning their money and pivoting the product that wasn't meeting developer expectations?
Customers saw it as a bold but honest move that reinforced trust and signaled commitment to delivering real value; some were confused at first, but the broader enterprise audience stayed aligned with the mission as the team demonstrated progress and a plan.
Why Hardware-Software Co-Design Is AI's Real 100x: Dylan Patel of SemiAnalysis
Q: What is the background of SemiAnalysis and how did Dylan Patel get there?
Patel describes growing up around family businesses, early hands-on hardware work, moderating online forums, and building SemiAnalysis from a blog and consulting work into a research-focused organization that collaborates with ecosystem players.
Memory and Continual Learning: Engram's Dan Biderman and Jessy Lin
Q: What motivated you to work on this problem?
They view continual learning as a fundamental bottleneck: models are smart, but to be truly useful they must internalize evolving context and private data through a training process rather than rely solely on static pre-training. This problem is seen as central to achieving practical, personalized AI that can adapt inside organizations.
LIVE: Jensen Huang on Building the Dynamo of the Intelligence Age
Q: What do you mean by the five-layer cake of AI and how should investors think about them?
Think of AI deployment as five layers: energy at the base providing power, chips and networking building the compute fabric, infrastructure for data centers and operations, the model layer where the leading AI families operate (OpenAI, Anthropic, etc.), and the top layer of applications that actually solve real-world problems. Investment flows are strongest into the top two layers, but all layers are essential for a healthy ecosystem.

Audience Metrics

Listeners, social reach, demographics and more for this podcast.

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Frequently Asked Questions About Training Data

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

A technologically oriented show that probes how AI is built, deployed, and governed, with a strong focus on engineering, infrastructure, and product strategy. Recent conversations_CENTER on end-to-end training pipelines for advanced agents, production-grade deployment across distributed systems, AI-native enterprises, and the evolving role of AI assistants in software, music, and biotech. Notable threads include scaling GPUs for real-time feedback, multi-agent workflows, and the tension between model size, data, and compute, all anchored by pragmatic lessons from industry practitioners and researchers. The show often pairs founders, researchers, and senior operators to extract practical takeaways for listeners evaluating AI projects, vendor... more

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1. No Priors: Artificial Intelligence | Technology | Startups
2. AI + a16z
3. Unsupervised Learning with Jacob Effron
4. Y Combinator Startup Podcast
5. The a16z Show

How many episodes of Training Data are there?

Training Data launched 2 years ago and published 105 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on Training Data?

Recent guests on Training Data include:

1. Matan Grinberg
2. Katelyn Lesse
3. Angela Jiang
4. Dan Biderman
5. Jessy Lin
6. Joon Sung Park
7. Logan Kilpatrick
8. Jensen Huang

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.

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