New on the blog. Two studies this year, at opposite ends of the academy, found the same shape.
Berkeley: across more than 500,000 grades, the share of A grades in AI exposed courses rose thirteen percentage points, about thirty percent against the 2022 baseline. The increase was biggest where homework carried the most weight.
Northwestern, published this week in PNAS: grant proposals showing stronger signs of AI assisted writing were four percentage points more likely to be funded at NIH, were measurably less distinctive, and the extra output landed in lower impact papers.
Nobody in the second study broke a rule. That is the point. The problem is not sitting in anyone's ethics. It is sitting in the instrument.
The free working session that goes with it: The Distinctiveness Criterion