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

PublishesWeeklyEpisodes84Founded2 years ago
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Artwork for Training Data

Latest Episodes

Jason Kelly founded Ginkgo Bioworks in 2008 with a simple but radical idea: DNA is code, and cells are programmable. Sixteen years later, AI is finally making that vision real in ways that could reshape science itself. Jason describes a landmark coll... more

YouTube

Philip Johnston, founder and CEO of Starcloud, explains why space will become the primary location for AI compute infrastructure within the next decade. After witnessing SpaceX's massive manufacturing scale at Starbase, Philip realized that declining... more

YouTube

Nominal’s cofounders (Cameron McCord, Jason Hoch and Bryce Strauss) realized that the new age of reindustrialization requires a new approach to hardware engineering and testing that’s closer to how software is developed. They founded Nominal with th... more

YouTube

Will Brown and Johannes Hagemann of Prime Intellect discuss the shift from static prompting to "environment-based" AI development, and their Environments Hub, a platform designed to democratize frontier-level training.

The conversation highlights a ... more

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Key Facts

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Contact Information
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Find out how many people listen to this podcast per episode and each month.

Recent Guests

Jason Kelly
Founder and CEO of Ginkgo Bioworks
Ginkgo Bioworks
Episode: How Autonomous Labs Will Transform Scientific Research: Ginkgo Bioworks’ Jason Kelly
Philip Johnston
Founder and CEO of Starcloud
Starcloud
Episode: Greetings, Earthlings: Philip Johnston of Starcloud on Data Centers in Space
Jamie Cuffe
Founder and CEO of Pace
Pace
Episode: What’s the Future of Vertical SaaS in an AGI World? Jamie Cuffe, CEO of Pace
Zach Lloyd
CEO and founder of Warp, a developer-focused startup
Warp
Episode: Making the Case for the Terminal as AI's Workbench: Warp’s Zach Lloyd
Harrison Chase
AI developer and co-founder of LangChain
LangChain
Episode: Context Engineering Our Way to Long-Horizon Agents: LangChain’s Harrison Chase
Karol Hausman
Co-founder of Physical Intelligence, a company developing intelligent robotic solutions.
Physical Intelligence
Episode: Training General Robots for Any Task: Physical Intelligence’s Karol Hausman and Tobi Springenberg
Tobi Springenberg
Co-founder of Physical Intelligence, focuses on machine learning and robotics.
Physical Intelligence
Episode: Training General Robots for Any Task: Physical Intelligence’s Karol Hausman and Tobi Springenberg
Dan Lahav
Founder of Irregular
Episode: Securing the AI Frontier: Irregular Co-founder Dan Lahav
Jon Noronha
Founder of Gamma
Gamma
Episode: Scaling the ‘Cursor for Slides’ to $50M ARR: Gamma founder Jon Noronha

Hosts

Sonya Huang
Co-host/Host with Sequoia Capital connections, frequent partner at Sequoia; long-running host with broad industry tech focus
Pat Grady
Co-host and partner at Sequoia Capital, frequent host of technical and investment-focused conversations

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 are consistently insightful and well-connected in the AI/VC space.
High signal with practical, investor-informed perspectives.
Experts steer clear of fluff; deep dives into AI tooling and deployment.
Accessible with depth: foundational AI concepts explained with actionable detail.
Guests and hosts offer sharp, candid takes on AI progress and business impact.

Chart Rankings

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

Apple Podcasts
#146
United States/Technology
Apple Podcasts
#109
Canada/Technology
Apple Podcasts
#111
United Kingdom/Technology
Apple Podcasts
#188
Germany/Technology
Apple Podcasts
#224
Australia/Technology
Apple Podcasts
#38
Hong Kong/Technology

Talking Points

Recent interactions between the hosts and their guests.

Greetings, Earthlings: Philip Johnston of Starcloud on Data Centers in Space
Q: What are the core components of an ideal space data center, and what can be stripped out compared to terrestrial centers?
A space data center is simpler: solar panels, radiators, a compact bus with GPUs/CPUs/memory, power buffering minimal, one reaction wheel, two lasers for communication, and no need for massive cooling towers or on-site batteries; many terrestrial cooling and backup systems can be removed.
Greetings, Earthlings: Philip Johnston of Starcloud on Data Centers in Space
Q: How does real estate work in space and how crowded might it become?
Real estate is currently first-come, first-served with a planned constellation of 88,000 slots; regulators like the FCC and ITU govern spectrum and space traffic, and the most valuable slots will be pursued aggressively as the network grows.
Greetings, Earthlings: Philip Johnston of Starcloud on Data Centers in Space
Q: What's the useful life on the satellites and how do you retire or decommission them?
The satellites are designed to match the useful life of the chips, around five to six years, with end-of-life options including de-orbiting or placing in graveyard orbits; longer-term operation could extend life if energy costs remain favorable.
Greetings, Earthlings: Philip Johnston of Starcloud on Data Centers in Space
Q: Maybe first to get started, like why build data centers in space?
The guest explains that terrestrial energy development is hitting siting and permitting bottlenecks, while in space you avoid land-use constraints and can leverage higher-efficiency solar, leading to lower long-term energy costs; the crossover point where space becomes cheaper depends on launch costs and other factors, but the potential is enormous.
Making the Case for the Terminal as AI's Workbench: Warp’s Zach Lloyd
Q: What do you think will change the perception of coding tools to being more comparable to hiring engineers?
The shift would likely happen if products are launched with minimal engineering involvement, leading enterprises to assess the cost-effectiveness of AI versus traditional hiring.

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?

The show centers on the practical and strategic implications of AI across business, technology, and society. Episodes frequently explore AI infrastructure, developer tooling, and real-world deployments—from democratizing RL environments and building AI workbenches to long-horizon agents, autonomous systems, and AI security. Guests range from AI researchers and startup founders to investors, often discussing how enterprises adopt AI, scale infrastructure, and navigate risks, with a strong emphasis on enterprise productivity, developer experience, and the evolving economics of AI-enabled workflows. Notable traits include a candid mix of technical depth and business perspective, a focus on practical adoption challenges, and a track record of h... more

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Training Data launched 2 years ago and published 84 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. Jason Kelly
2. Philip Johnston
3. Jamie Cuffe
4. Zach Lloyd
5. Harrison Chase
6. Karol Hausman
7. Tobi Springenberg
8. Dan Lahav

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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