Training Data

Conversations with AI researchers and builders on technology and society AI summary

Sequoia Capital Visit website › Technology · EN · 114 episodes · latest 2026-11-05

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What it is about

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 offer to buy an interest in any investment fund.

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Latest episodes

A Model For Everyone: How Ronak From Trajectory Is Building Products For Continual Learning

2026-11-05 · 32 min

Today’s agents are stuck in what Ronak Malde calls “pseudo continual learning”: intelligent, but updated in offline batches, like a paper road map you can’t reroute mid-trip. Ronak, co-founder of Trajectory, explains…
European Defense Sovereignty Starts in the Factory: Stark’s Uwe Horstmann and Johannes Schaback

2026-10-28 · 44 min

Two years after its founding, Stark has roughly 700 employees and strike drones in the field in Ukraine. CEO Uwe Horstmann and CTO Johannes Schaback argue that the real lesson of that war is not any single weapon: the…
Inside the Robot Data Factory: Mecka's Josh Gao on Sensorizing Humans to Train Robots

2026-10-20 · 45 min

Robotics never got the internet's gift of free training data, so someone has to manufacture it. Josh Gao, founder and CEO of Mecka AI, runs one of the largest robot data factories, and he explains what that actually…
David Silver and Lasse Espeholt of Ineffable Intelligence: A Superlearner for the Age of Experience

2026-10-13 · 1 hr 8 min

David Silver spent two years building AlphaGo on human data. When he removed human data altogether building AlphaGo Zero, the AI surpassed AlphaGo in under two days. He left DeepMind to run that same bet in pursuit of…
Google's AI Infrastructure Chief, Amin Vahdat, on the Physics & Economics of Frontier AI

2026-10-06 · 1 hr 4 min

At 100,000-accelerator scale, something fails multiple times an hour, which is why Google's Chief Technologist for AI Infrastructure Amin Vahdat thinks FLOPS is a vanity metric. The metric that matters is what he calls…
Box's Aaron Levie: On Reinventing Yourself in the AI Age and Enterprise Diffusion

2026-09-15 · 1 hr 5 min

Starting a company is hard. Reinventing your company for AI as a public company with quarterly earnings results is even harder. Aaron Levie has pulled off the transition with Box and offers hard-won advice for founders.…
Making Cities Awesome: Peregrine’s Nick Noone & Ben Rudolph

2026-09-01 · 52 min

Most public safety technology companies grow by collecting more data. Peregrine inverted the model: no sensors, no new data, a business built on connecting the data and information cities already own. Co-founders Nick…
Parallel’s Parag Agrawal: Building a New Web for AI Agents

2026-08-25 · 55 min

Parag Agrawal is making a bet that goes against two decades of web search: agents will query the web a thousand times more than humans ever have, and the infrastructure built around human clicks is wrong for them. The…
Rich Sutton and Khurram Javed: Why AI Models Stop Learning, and How to Start It Again

2026-08-18 · 54 min

Rich Sutton, who helped pioneer reinforcement learning and wrote the seminal AI essay The Bitter Lesson, has now cofounded Oak Lab with his former student Khurram Javed. Their goal: to build agents that continuously…
Chai Discovery's Bitter Lesson: Drug Design Is Another Scaling Problem

2026-08-04 · 47 min

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…

Episode details from the publisher’s feed. Playback happens at the publisher.

Publisher details

Oldest episode in feed: 06/2024 · over 2 years
Typical length: 47 min
Format: Episodic Newest first, episodes stand alone

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