
Sequoia Capital
We help the daring build legendary companies – from idea to IPO and beyond.
Episodes


Rebuilding the Computer for the AI Age: Unconventional AI's Naveen Rao

Starcloud's Philip Johnston: Why the Cheapest Compute Will Be in Space

Why Data Is the Real AI Bottleneck: Flapping Airplanes' Ben and Asher Spector

ElevenLabs' Mati Staniszewski: How Voice Becomes the Interface for AI

His engineer went to sleep. AI finished the project. | OpenAI's Greg Brockman

Anthropic's Boris Cherny: Why Coding Is Solved, and What Comes Next
Boris Cherny, the creator of Claude Code, details the evolution of AI-driven software development and its impact on modern engineering. The transition from simple code completion to autonomous agents capable of writing entire codebases marks a fundamental shift in productivity, enabling developers to manage hundreds of...

Andrej Karpathy on one of AI's weirdest flaws: the car wash problem

Andrej Karpathy: What if neural nets became the computer itself?

OpenAI's Greg Brockman: There's no wall. Scaling laws just keep going.

How much compute should we buy? "All of it" — Greg Brockman, OpenAI

95% sure robotics is fully solved by 2040 | NVIDIA's Jim Fan

Will AI ever actually be conscious? Demis Hassabis, Google DeepMind

Waymo's Dmitri Dolgov: 20 Million Rides and the Road to Full Autonomy

Andrej Karpathy: Software 3.0 is prompting, not coding

Is information more fundamental than energy or matter? Demis Hassabis, Google DeepMind

OpenAI's Greg Brockman: Why Human Attention Is the New BottleneckOpenAI's

100 Years of Progress in 100 Days: Sequoia AI Ascent 2026 Keynote
AI represents a fundamental shift from communication-based technological revolutions to a computation-based one, marking the arrival of AGI-like capabilities. This transition is defined by the emergence of autonomous agents capable of reasoning, planning, and executing tasks over long horizons, effectively turning serv...

Robotics' End Game: Nvidia's Jim Fan
Robotics is currently undergoing a transformation analogous to the rise of large language models, shifting toward a paradigm of "World Action Models" (WAMs). By moving away from traditional visual-language-action models that prioritize language over physics, researchers are now leveraging massive amounts of egocentric ...

Drug discovery from 10 years to days | Demis Hassabis, Google DeepMind
Follow this podcast in Podwise
Sign in to get AI summaries, transcripts and mind maps for any episode, including new ones.
