Machine Learning Street Talk · Wednesday, September 2, 2026
Neil Nanda, founder of Goodfire, views interpretability as a natural science akin to physics or biology, but conducted entirely on computers. He believes this approach will enable a significant acceleration in scientific discovery through AI agents capable of performing experimental work and theory building.
“I think interpretability is I think of it as a natural science, you know, like physics, biology, chemistry.”
“But it's a natural science that you do completely on the computer.”
“And so this means that like we should be able to kind of again speed run science once we have agents that can do experimental work for us.”