The Fastest Path To Super Intelligence
Ian Fisher, co-founder of Poetic, discusses how his startup is building recursively self-improving AI reasoning harnesses that outperform and adapt to any large language model (LLM), offering startups a way to avoid the 'bitter lesson' of fine-tuning by staying ahead of frontier models wi
Sign up to read the full summary
Free AI-powered recaps of every episode, delivered to your inbox.
Free forever for up to 3 podcasts. No credit card required.
Guest
Ian Fisher
interview on Y Combinator Startup Podcast
Mentions
Books, people, and resources mentioned in this episode.
People
Companies
Products & Tools
Research & Papers
Topics
Listen to This Episode
More from Y Combinator Startup Podcast
Why Domain Experts Are Winning In The Age Of AI
How to Build the Future: Demis Hassabis
How François Chollet Is Building A New Path To AGI
How To Build Superintelligence Inside Your Company
The Playbook For Building An AI Native Company
"The CEO Must Be the Chief AI Officer"
Related episodes
From other shows on similar topics.
How to Get the Most Out of Fable 5 and GPT-5.6 Sol
The AI Daily Brief: Artificial Intelligence News and Analysis
How the founder of Morning Brew built a Claude content machine that never runs out of ideas and never sounds like slop | Alex Lieberman
How I AI
Open Source Wins, AGI Is Here, and Scorsese's AI Toolkit with CEOs of Cerebras & Black Forest Labs
All-In with Chamath, Jason, Sacks & Friedberg
This AI agent completes your To-Do list (plus 4 AI tools that’ll blow you away)
My First Million
Ep 90: AI Pioneer Jürgen Schmidhuber on the State of AI Today
Unsupervised Learning with Jacob Effron
Joshua Wöhle: Turn AI Into Your Competitive Advantage and 50X Your Productivity | Artificial Intelligence | E393
Young and Profiting with Hala Taha (Entrepreneurship, Sales, Marketing)
Get summaries like this every morning.
Free AI-powered recaps of Y Combinator Startup Podcast and your other favorite podcasts, delivered to your inbox.
Free forever for up to 3 podcasts. No credit card required.