The team is building laboratories for open and closed models to conduct experiments, reflecting the speaker's view that major discoveries require trying things.

“it will still have to run experiments to get results and the reason for it is right like machine learning is really good at what's been trained on but scientific discovery is almost by definition what you haven't been trained on and that's why we're building these labs so that whether open models or closed models can use these labs to tinker with the universe because we don't feel like you can make a big discovery without trying things.”