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Training Data

Sequoia Capital
Artificial Intelligence
Microsoft
Machine Learning
Openai
Software Development
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

PublishesWeeklyEpisodes65Foundeda year ago
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BusinessTechnology

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Latest Episodes

Elias Torres has been building AI systems since 1999, from chatbots at IBM to co-founding Drift and now Agency. He believes businesses are caught in an expectation mismatch—demanding AI while rejecting it due to imperfection anxiety. Drawing from his... more

YouTube

Thomas Wolf, co-founder and Chief Science Officer of Hugging Face, explains how his company is applying the same community-driven approach that made transformers accessible to everyone to the emerging field of robotics. Thomas discusses LeRobot, Hugg... more

YouTube

Ryan Daniels and John Sarihan are reimagining legal services by building Crosby, an AI-powered law firm that focuses on contract negotiations to start. Rather than building legal software, they've structured their company as an actual law firm with l... more

YouTube

When the AI wave hit, n8n founder Jan Oberhauser faced a critical choice: become irrelevant or become indispensable. He chose the latter, transforming n8n from a simple workflow tool into a comprehensive AI automation platform that lets users connect... more

YouTube

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Recent Guests

Jon Noronha
Founder of Gamma
Gamma
Episode: Scaling the ‘Cursor for Slides’ to $50M ARR: Gamma founder Jon Noronha
Dara Ladjevardian
Founder of Delphi creating AI representations
Delphi
Episode: Delphi’s Dara Ladjevardian: How AI Digital Minds Can Scale Human Connection
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

Hosts

Sonya Huang
Host and co-host, often leading in-depth discussions with industry experts and researchers in AI.
Pat Grady
Co-host and partner, bringing insightful perspectives and facilitating discussions on AI's implications in various domains.

Reviews

4.7 out of 5 stars from 116 ratings
  • Pretty cool

    Nice speakers

    Apple Podcasts
    5
    seth_vikas
    Germany6 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 States7 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 praise the hosts for their insightful discussions and ability to present complex AI topics in an accessible manner.
Some listeners appreciate the focus on ethical considerations in AI, noting its importance in the ongoing discourse around technology.
There are comments highlighting the depth of the conversations and the relevance of the subject matter to contemporary business and technology challenges.

Chart Rankings

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

Apple Podcasts
#79
United States/Technology
Apple Podcasts
#128
United Kingdom/Technology
Apple Podcasts
#194
Canada/Technology
Apple Podcasts
#58
France/Technology
Apple Podcasts
#65
Australia/Technology
Apple Podcasts
#120
Italy/Technology

Talking Points

Recent interactions between the hosts and their guests.

Building the "App Store" for Robots: Hugging Face's Thomas Wolf on Physical AI
Q: What sort of phase of maturity do you think we're in for the robotics market at large?
I think the enterprise market is quite complex, with a lot of challenges around reliability, especially for consumer products, but there are possibilities in entertainment and education.
Building the "App Store" for Robots: Hugging Face's Thomas Wolf on Physical AI
Q: What do you think the world looks like in 10 years?
In 10 years, I hope that people are not just consuming AI content; they're actually exerting their creativity to build really nice things with a lot of AI tools around them.
Deal Velocity, Not Billable Hours: How Crosby Uses AI to Redefine Legal Contracting
Q: What should someone in law school do today?
They should question everything and consider opportunities that embrace AI and new technologies in legal practices.
Deal Velocity, Not Billable Hours: How Crosby Uses AI to Redefine Legal Contracting
Q: What is the North Star metric of Crosby?
Their North Star metric is total turnaround time for contracts, emphasizing speed and quality in negotiations.
Deal Velocity, Not Billable Hours: How Crosby Uses AI to Redefine Legal Contracting
Q: What parts of the product are AI model, workflow software, and lawyers?
The interaction between AI models and human workflows is key, with AI handling summarizations and predictions while lawyers provide qualitative evaluations.

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?

Conversations centering around the rapidly evolving field of artificial intelligence form the backbone of this podcast. The hosts engage with influential builders and researchers, tackling topics that range from advancements in AI applications to the implications these technologies hold for business and society at large. With special attention given to new models and tools, including open-source initiatives and automated systems, episodes often blend technical insights with philosophical discussions, exploring how AI is reshaping various industries and our everyday interactions. Unique themes include transparency in AI, legal implications of AI usage, and the balance between innovation and ethical considerations.

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Which podcasts are similar to Training Data?

These podcasts share a similar audience with Training Data:

1. No Priors: Artificial Intelligence | Technology | Startups
2. Latent Space: The AI Engineer Podcast
3. Lightcone Podcast
4. Y Combinator Startup Podcast
5. a16z Podcast

How many episodes of Training Data are there?

Training Data launched a year ago and published 65 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?

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What guests have appeared on Training Data?

Recent guests on Training Data include:

1. Jon Noronha
2. Dara Ladjevardian
3. Paul Eremenko
4. Amjad Masad
5. Sahir Azam
6. Stef Corazza
7. Hema Raghavan
8. Kareem Amin

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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