Tom Brown: How Building GPT-3 Led to Founding Anthropic

ℹ️ EPISODE INFO

Released

August 19, 2025

Duration

35m

Channel

Y Combinator

Watch on YouTube

▶ Open ↗

📝 EPISODE DESCRIPTION

Tom Brown co-founded Anthropic after helping build GPT-3 at OpenAI. A self-taught engineer, he went from getting a B-minus in linear algebra to becoming one of the key people behind AI's scaling breakthroughs. And his work is paying off. Today, Anthropic's Claude is the go-to choice for developers, and his team is overseeing what he calls "humanity's largest infrastructure buildout ever." On this episode of The Lightcone, he discusses his unconventional path from YC founder to AI researcher, the discovery of scaling laws that changed everything, and his advice for young engineers entering AI today. Apply to Y Combinator: https://www.ycombinator.com/apply Work at a startup: https://www.ycombinator.com/jobs Chapters: 0:00 - From Failure to Success 2:30 - Early Startup Days at Linked Language 4:12 - The Grouper Dating Experiment 6:10 - Making the Leap to OpenAI 8:42 - First Product Launch Challenges 10:12 - Self-Teaching AI Research 12:44 - Building GPT-3 Infrastructure 15:44 - The Anthropic Spinoff 18:23 - Early Days of Building Claude 20:21 - The ChatGPT Wake-Up Call 22:08 - Claude 3.5 Sonnet Breakthrough 24:13 - Why Benchmarks Don't Tell the Whole Story 26:20 - Claude Code's Secret Sauce 28:51 - Building for the AI Agent 31:11 - The Largest Infrastructure Buildout Ever 32:46 - Multi-Chip Strategy 34:38 - Advice for the Next Generation

🎤 SPEAKERS

• Tom Brown

  guest

• Garry Tan

  host

• Jared Friedman

  host

🧾 EPISODE SUMMARY

In this episode of Y Combinator, featuring Tom Brown and Garry Tan, Tom Brown: How Building GPT-3 Led to Founding Anthropic explores anthropic Co-founder on Scaling AI, Claude Code, and Startup Grit Tom Brown, Anthropic co-founder and former OpenAI/GPT-3 engineer, traces his path from early YC startups through OpenAI and Google Brain to co-founding Anthropic with a mission-focused team. He explains how scaling laws and infrastructure choices around GPUs, TPUs, and Trainium shaped GPT-3 and Anthropic’s current systems, and why compute is driving humanity’s largest-ever infrastructure build-out.

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