Jerry Han
Jerry Han is the Co-Founder and CTO of OpenGraph Labs, a Seoul-based startup building data infrastructure for physical AI and robotics. He previously worked as a backend software engineer at Karrot (당근) and as a DevOps engineer at Nodeinfra. He is known in the AI research community for collaborating with Dwarkesh Patel on an experiment comparing the contributions of algorithmic progress versus data improvements to AI model performance.
“finding data explains ~9x compute efficiency gains vs. 3x from architecture”
Source→“I'm actually running an experiment with Jerry Han, who's actually still a college student. What we're basically doing to evaluate how much progress is coming from data versus algorithms is training the best algorithmic recipe from 2019 till now with the best data from the 2026 data file. And then also training the different data files going back to 2019 to 2026 with the current best training recipe”
Source→AI-extracted from podcast / newsletter / paper summaries. May contain errors.