Matt Blackwell

@mattblackwell.bsky.social

data, experiments, evals @Google. opinions my own. political scientist 4 life https://mattblackwell.org

Interspersing either board work or coding into lectures was hugely valuable to my teaching. It slows you down to a more understandable pace. You also will vocalize some of those difficult-to-articulate ways that you work through challenges like coding mistakes or math errors.

James Bland@jamesbland.bsky.social · 5mo ago

Sometimes this works, and sometimes the opposite works. The two most influential econometrics courses I took involved the professor: 1) Using nothing but a whiteboard and marker 2) Coding things up in Stata and explaining why he did everything

LLMs will usher in a democratization of intellect. Now you too can have a junior (AI) scholar that you can blame for errors and fraud. Previously, only the top scholars had access to that kind of power.

Deep irony about AI teaching/learning in universities: the most useful AI skills right now are essentially *people management* skills (for now!) which most academics (myself included) are pretty bad at.

Maybe a good bet would help give clarity to the “AI will kill academic papers” debate: will someone get tenure at a top 20 social science department in the next 10 years with the majority of their work being something other than an academic article or book?