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Artwork for Training Data

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

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Artwork for Training Data

Latest Episodes

Alfred Wahlforss, co-founder and CEO of Listen Labs, is building an AI agent that interviews your customers at a scale no focus group ever could—thousands of voice conversations at once, drawn from an audience of 30 million people. A year after launc... more

YouTube

Cursor's Federico Cassano and Fireworks' Dmytro Dzhulgakov explain how they collaborated to build Composer as a specialized foundation model. The core insight: models have finite capacity in their weights, and allocating all those bits to the singula... more

YouTube

Jake Stauch, founder and CEO of Serval, is building a ServiceNow for the AI era. His most contrarian bet is that the product should look like boring old enterprise software, but with unlimited intelligence. Serval's architecture splits work between t... more

YouTube

Most music platforms assume you're a listener. On Suno, 90% of daily users make something. Founder and CEO Mikey Shulman explains why that flips the  model: the act of creating IS the entertainment, with closer parallels to gaming and Claude Code tha... more

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Recent Guests

Jake Stauch
Founder and CEO of Serval
Serval
Episode: Rebuilding IT From the Ground Up for the AI Age: Serval's Jake Stauch
Mikey Shulman
Founder and CEO of Suno, building a music company and creative entertainment platform
Suno
Episode: Suno's Mikey Shulman: Everyone Can Make Music Now
Mati Staniszewski
Co-founder of ElevenLabs
ElevenLabs
Episode: ElevenLabs' Mati Staniszewski: How Voice Becomes the Interface for Everything
Boris Cherny
Engineer and creator of Claude Code
Anthropic
Episode: Anthropic's Boris Cherny: Coding's Printing Press Moment
Dmitri Dolgov
Engineer and lead figure at Waymo's autonomous vehicle program
Waymo
Episode: Waymo's Dmitri Dolgov: 20 Million Rides and the Road to Full Autonomy
Greg Brockman
Co-founder and President of OpenAI
OpenAI
Episode: OpenAI's Greg Brockman: Why Human Attention Is the New Bottleneck
Demis Hassabis
Founder of DeepMind, AI researcher and entrepreneur
DeepMind
Episode: Demis Hassabis on Building DeepMind, AlphaFold, and the Final Stretch to AGI
Andrej Karpathy
AI researcher and educator, co-founder of OpenAI; former Tesla AI lead
OpenAI, Tesla
Episode: Andrej Karpathy: From Vibe Coding to Agentic Engineering
James Cadwallader
Co-founder and CEO of Profound
Profound
Episode: From SEO to Agent-Led Growth: Profound’s James Cadwallader

Host

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

Reviews

4.7 out of 5 stars from 129 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
#34
United States/Technology
Apple Podcasts
#107
United States/Technology
Spotify
#49
United Kingdom/Technology
Apple Podcasts
#94
United Kingdom/Technology
Apple Podcasts
#117
Canada/Technology
Apple Podcasts
#70
Australia/Technology

Talking Points

Recent interactions between the hosts and their guests.

Rebuilding IT From the Ground Up for the AI Age: Serval's Jake Stauch
Q: What happens when you encounter a new model that changes how things work—do you upgrade or downgrade based on reliability and guardrails?
They perform slow, measured releases, often preferring older, more reliable models for stability while experimenting with newer ones, and sometimes downgrading if the new model underperforms in critical enterprise contexts.
Rebuilding IT From the Ground Up for the AI Age: Serval's Jake Stauch
Q: How quickly can you incorporate new models into Serval's production version, and how automated is that process?
Model updates are not fully automated; evaluation is automated, but testing and integration require hands-on effort, with ongoing prompt tuning and infrastructure adjustments to handle new models and quirks.
Rebuilding IT From the Ground Up for the AI Age: Serval's Jake Stauch
Q: Do you have a North Star metric that tells you the product is getting better, or is it more a synthesis of customer anecdotes?
The founder emphasizes deep customer immersion, using direct channels like customer Slack workstreams to gauge product impact, with a focus on qualitative feedback shaping the roadmap rather than a single numeric North Star.
Anthropic's Boris Cherny: Coding's Printing Press Moment
Q: How do you balance model capabilities with product decisions in driving Claude Code's success?
Success is a mix of model strength and product decisions; trading off between rapid iteration, user experience, and how teams adopt and integrate the tool into their workflows.
Anthropic's Boris Cherny: Coding's Printing Press Moment
Q: What do you mean when you say coding is solved, and what remains to be tackled?
The core capability to generate and manage code using AI exists, especially with improved models, but there are still challenges in complex, large-scale codebases and in refining the harness and safety controls for alignment and reliability.

Audience Metrics

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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
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3. The a16z Show
4. Y Combinator Startup Podcast
5. Unsupervised Learning with Jacob Effron

How many episodes of Training Data are there?

Training Data launched 2 years ago and published 95 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. Jake Stauch
2. Mikey Shulman
3. Mati Staniszewski
4. Boris Cherny
5. Dmitri Dolgov
6. Greg Brockman
7. Demis Hassabis
8. Andrej Karpathy

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