Shows / Training Data
Training Data
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 advice, an offer to provide investment advisory services, or an offer to sell or solicitation of an…
Episodes
Training DataElevenLabs’ Mati Staniszewski: Why Voice Will Be the Fundamental Interface for Tech
Mati Staniszewski, co-founder and CEO of ElevenLabs, explains how staying laser-focused on audio innovation has allowed his company to thrive despite the push…
Training DataFrom DevOps ‘Heart Attacks’ to AI-Powered Diagnostics With Traversal’s AI Agents
Anish Agarwal and Raj Agrawal, co-founders of Traversal, are transforming how enterprises handle critical system failures. Their AI agents can perform root…
Training DataThe Breakthroughs Needed for AGI Have Already Been Made: OpenAI Former Research Head Bob McGrew
As OpenAI's former Head of Research, Bob McGrew witnessed the company's evolution from GPT-3’s breakthrough to today's reasoning models. He argues that there…
Training DataOpenAI Codex Team: From Coding Autocomplete to Asynchronous Autonomous Agents
Hanson Wang and Alexander Embiricos from OpenAI's Codex team discuss their latest AI coding agent that works independently in its own environment for up to 30…
Training DataGoogle I/O Afterparty: The Future of Human-AI Collaboration, From Veo to Mariner
Fresh off impressive releases at Google’s I/O event, three Google Labs leaders explain how they’re reimagining creative tools and productivity workflows…
Training DataFrom Data Centers to Dyson Spheres: P-1 AI's Path to Hardware Engineering AGI
Former Airbus CTO Paul Eremenko shares his vision for bringing AI to physical engineering, starting with Archie—an AI agent that works alongside human…
Training DataGong’s Amit Bendov: From Meeting Recordings to Revenue AI
CEO Amit Bendov shares how Gong evolved from a meeting transcription tool to an AI-powered revenue platform that's increasing sales capacity by up to 60%. He…
Training DataLIVE: Google's Jeff Dean on the Coming Transformations in AI
At AI Ascent 2025, Jeff Dean makes bold predictions. Discover how the pioneer behind Google's TPUs and foundational AI research sees the technology evolving…
Training DataLIVE: Ambient Agents and the New Agent Inbox ft. Harrison Chase of LangChain
Recorded live at Sequoia’s AI Ascent 2025: LangChain CEO Harrison Chase introduces the concept of ambient agents, AI systems that operate continuously in the…
Training DataLIVE: How AI is Reinventing Software Business Models ft. Bret Taylor of Sierra
Recorded live at Sequoia’s AI Ascent 2025: Sierra co-founder Bret Taylor discusses why AI is driving a fundamental shift from subscription-based pricing to…
Training DataLIVE: Sam Altman of OpenAI on Building the ‘Core AI Subscription’ for Your Life
Recorded live at Sequoia’s AI Ascent 2025: Sam reflects on OpenAI’s evolution from a 14-person research lab to a dominant AI platform. He envisions…
Training DataWorkday CEO Carl Eschenbach: Building the System of Record for the AI Era
Workday CEO and Sequoia partner Carl Eschenbach explains how the company is evolving its platform to handle both human and AI workers. He shares Workday’s…
Training DataThe Quest to ‘Solve All Diseases’ with AI: Isomorphic Labs’ Max Jaderberg
After pioneering reinforcement learning breakthroughs at DeepMind with Capture the Flag and AlphaStar, Max Jaderberg aims to revolutionize drug discovery with…
Training DataPricing in the AI Era: From Inputs to Outcomes, with Paid CEO Manny Medina
Former Outreach CEO Manny Medina discusses his new company Paid, which provides billing, pricing and margin management tools for AI companies. He explains why…
Training DataArc Institute's Patrick Hsu on Building an App Store for Biology with AI
Patrick Hsu, co-founder of Arc Institute, discusses the opportunities for AI in biology beyond just drug development, and how Evo 2, their new biology…
Training DataReplit CEO Amjad Masad on 1 Billion Developers: A Better End State than AGI?
Amjad Masad set out more than a decade ago to pursue the dream of unleashing 1B software creators around the world. With millions of Replit users pre-ChatGPT…
Training DataWhy CRM Needs an AI Revolution, with Day.ai Founder Christopher O’Donnell
Christopher O’Donnell believes the fundamental problems with CRM—incomplete data, complex workflows, siloed work products and the fear of leads falling through…
Training DataFrom Software Engineers to AI Word Artisans: Filip Kozera of Wordware
Filip Kozera sees parallels between Excel’s democratization of data analytics and Wordware’s mission to put AI development in the hands of knowledge workers…
Training DataJosh Woodward: Google Labs is Rapidly Building AI Products from 0-to-1
As VP of Google Labs, Josh Woodward leads teams exploring the frontiers of AI applications. He shares insights on their rapid development process, why today’s…
Training DataHow AI Breakout Harvey is Transforming Legal Services, with CEO Winston Weinberg
Harvey CEO Winston Weinberg explains why success in legal AI requires more than just model capabilities—it demands deep process expertise that doesn’t exist…
Training DataThe AI Product Going Viral With Doctors: OpenEvidence, with CEO Daniel Nadler
OpenEvidence is transforming how doctors access medical knowledge at the point of care, from the biggest medical establishments to small practices serving…
Training DataOpenAI’s Deep Research Team on Why Reinforcement Learning is the Future for AI Agents
OpenAI’s Isa Fulford and Josh Tobin discuss how the company’s newest agent, Deep Research, represents a breakthrough in AI research capabilities by training…
Training DataPalo Alto Networks’ Nikesh Arora: AI, Security and the New World Order
Palo Alto Networks’s CEO Nikesh Arora dispels DeepSeek hype by detailing all of the guardrails enterprises need to have in place to give AI agents “arms and…
Training DataMongoDB’s Sahir Azam: Vector Databases and the Data Structure of AI
MongoDB product leader Sahir Azam explains how vector databases have evolved from semantic search to become the essential memory and state layer for AI…
Training DataRoblox Studio Head Stef Corazza: Using AI to Empower Creators
Stef Corazza leads generative AI development at Roblox after previously building Adobe’s 3D and AR platforms. His technical expertise, combined with Roblox’s…
Training DataReflectionAI Founder Ioannis Antonoglou: From AlphaGo to AGI
Ioannis Antonoglou, founding engineer at DeepMind and co-founder of ReflectionAI, has seen the triumphs of reinforcement learning firsthand. From AlphaGo to…
Training DataKumo’s Hema Raghavan: Turning Graph AI into ROI
Hema Raghavan is co-founder of Kumo, a company that makes graph neural networks accessible to enterprises by connecting to their relational data stored in…
Training DataDatabricks Founder Ion Stoica: Turning Academic Open Source into Startup Success
Berkeley professor Ion Stoica, co-founder of Databricks and Anyscale, transformed the open source projects Spark and Ray into successful AI infrastructure…
Training DataXBOW CEO and GitHub Copilot Creator Oege de Moor: Cracking the Code on Offensive Security With AI
Oege de Moor, the creator of GitHub Copilot, discusses how XBOW’s AI offensive security system matches and even outperforms top human penetration testers…
Training DataRamp CEO Eric Glyman: Using AI to Build “Self-Driving Money”
When ChatGPT ushered in a new paradigm of AI in everyday use, many companies attempted to adapt to the new paradigm by rushing to add chat interfaces to their…
Training DataDust’s Gabriel Hubert and Stanislas Polu: Getting the Most From AI With Multiple Custom Agents
Founded in early 2023 after spending years at Stripe and OpenAI, Gabriel Hubert and Stanislas Polu started Dust with the view that one model will not rule them…
Training DataClay’s Kareem Amin on Building the Sales ‘System of Action’ with AI
Clay is leveraging AI to help go-to-market teams unleash creativity and be more effective in their work, powering custom workflows for everything from targeted…
Training DataDecart’s Dean Leitersdorf on AI-Generated Video Games and Worlds
Can GenAI allow us to connect our imagination to what we see on our screens? Decart’s Dean Leitersdorf believes it can. In this episode, Dean Leitersdorf…
Training DataHow Glean CEO Arvind Jain Solved the Enterprise Search Problem – and What It Means for AI at Work
Years before co-founding Glean, Arvind was an early Google employee who helped design the search algorithm. Today, Glean is building search and work assistants…
Training DataOpenAI Researcher Dan Roberts on What Physics Can Teach Us About AI
In recent years there’s been an influx of theoretical physicists into the leading AI labs. Do they have unique capabilities suited to studying large models or…
Training DataGoogle NotebookLM’s Raiza Martin and Jason Spielman on Creating Delightful AI Podcast Hosts and the Potential for Source-Grounded AI
NotebookLM from Google Labs has become the breakout viral AI product of the year. The feature that catapulted it to viral fame is Audio Overview, which…
Training DataSnowflake CEO Sridhar Ramaswamy on Using Data to Create Simple, Reliable AI for Businesses
All of us as consumers have felt the magic of ChatGPT—but also the occasional errors and hallucinations that make off-the-shelf language models problematic for…
Training DataOpenAI's Noam Brown, Ilge Akkaya and Hunter Lightman on o1 and Teaching LLMs to Reason Better
Combining LLMs with AlphaGo-style deep reinforcement learning has been a holy grail for many leading AI labs, and with o1 (aka Strawberry) we are seeing the…
Training DataWhy Vlad Tenev and Tudor Achim of Harmonic Think AI Is About to Change Math—and Why It Matters
Adding code to LLM training data is a known method of improving a model’s reasoning skills. But wouldn’t math, the basis of all reasoning, be even better? Up…
Training DataJim Fan on Nvidia’s Embodied AI Lab and Jensen Huang’s Prediction that All Robots will be Autonomous
AI researcher Jim Fan has had a charmed career. He was OpenAI’s first intern before he did his PhD at Stanford with “godmother of AI,” Fei-Fei Li. He graduated…
Training DataFounder Eric Steinberger on Magic’s Counterintuitive Approach to Pursuing AGI
There’s a new archetype in Silicon Valley, the AI researcher turned founder. Instead of tinkering in a garage they write papers that earn them the right to…
Training DataCrucible Moments Returns for S2: The ServiceNow Story ft. CEO Frank Slootman & Founder Fred Luddy
On Training Data, we learn from innovators pushing forward the frontier of AI’s capabilities. Today we’re bringing you something different. It’s the story of a…
Training DataSierra Co-Founder Clay Bavor on Making Customer-Facing AI Agents Delightful
Customer service is hands down the first killer app of generative AI for businesses. The reasons are simple: the costs of existing solutions are so high, the…
Training DataPhaidra’s Jim Gao on Building the Fourth Industrial Revolution with Reinforcement Learning
After AlphaGo beat Lee Sedol, a young mechanical engineer at Google thought of another game reinforcement learning could win: energy optimization at data…
Training DataFireworks Founder Lin Qiao on How Fast Inference and Small Models Will Benefit Businesses
In the first wave of the generative AI revolution, startups and enterprises built on top of the best closed-source models available, mostly from OpenAI. The AI…
Training DataGitHub CEO Thomas Dohmke on Building Copilot, and the the Future of Software Development
GithHub invented collaborative coding and in the process changed how open source projects, startups and eventually enterprises write code. GitHub Copilot is…
Training DataMeta’s Joe Spisak on Llama 3.1 405B and the Democratization of Frontier Models
As head of Product Management for Generative AI at Meta, Joe Spisak leads the team behind Llama, which just released the new 3.1 405B model. We spoke with Joe…
Training DataKlarna CEO Sebastian Siemiatkowski on Getting AI to Do the Work of 700 Customer Service Reps
In February, Sebastian Siemiatkowski boldly announced that Klarna’s new OpenAI-powered assistant handled two thirds of the Swedish fintech’s customer service…
Training DataReflection AI’s Misha Laskin on the AlphaGo Moment for LLMs
LLMs are democratizing digital intelligence, but we’re all waiting for AI agents to take this to the next level by planning tasks and executing actions to…
Training DataMicrosoft CTO Kevin Scott on How Far Scaling Laws Will Extend
The current LLM era is the result of scaling the size of models in successive waves (and the compute to train them). It is also the result of…
Training DataZapier’s Mike Knoop launches ARC Prize to Jumpstart New Ideas for AGI
As impressive as LLMs are, the growing consensus is that language, scale and compute won’t get us to AGI. Although many AI benchmarks have quickly achieved…
Training DataFactory’s Matan Grinberg and Eno Reyes Unleash the Droids on Software Development
Archimedes said that with a large enough lever, you can move the world. For decades, software engineering has been that lever. And now, AI is compounding that…
Training DataLangChain’s Harrison Chase on Building the Orchestration Layer for AI Agents
Last year, AutoGPT and Baby AGI captured our imaginations—agents quickly became the buzzword of the day…and then things went quiet. AutoGPT and Baby AGI may…
Training DataIntroducing "Training Data"
Join us as we train our neural nets on the theme of the century: AI. Sequoia Capital partners Sonya Huang and Pat Grady host conversations with leading AI…