Karpathy’s autoresearch could make scientists of us all
From Azeem Azhar's Exponential View by Azeem Azhar
April 1, 2026 · 21 min · Episode 39
About this episode
Azeem Azhar explores how Andrej Karpathy's autoresearch AI tool can be adapted for various problem-solving applications beyond machine learning.
Published in early March 2026, Andrej Karpathy's autoresearch AI tool makes autonomous scientific experimentation cheap and easy — but it was designed to solve machine learning problems. I wanted to see if I could apply its loop architecture to my own work: refining my worldview, testing arguments, solving business problems. In this video, I share how I adapted Karpathy’s autoresearch loops for problems that aren't easy to quantify, how to avoid the local minima trap, and the broader impact of these kinds of methods. I covered:
Topics covered
- technology
- business
- investing
- science
- AI
Keywords
- autonomous scientific experimentation
- autoresearch AI tool
- machine learning problems
- refining worldview
- testing arguments
- solving business problems
- local minima trap
- impact of methods
Mentioned in this episode
Products: Karpathy’s autoresearch
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