Keeping a list of AI writings and Claude Code posts
Keeping a list of all the writings and things I’ve done with AI, both here on the blog and over on Substack.
Homepage of the economist Paul Goldsmith-Pinkham
Keeping a list of all the writings and things I’ve done with AI, both here on the blog and over on Substack.
My friend is teaching to his Economics Ph.D. students and explaining why they should be interested in topics that are not in their subfield.
AI has lowered a huge number of frictions for me with respect to programming. I am now able to code up many tools and ideas, and I really enjoy it. But it’s not uniformly doable across all projects — not because the coding is too hard for LLMs (I am not enough of a computer scientist to think of hard problems) but because humans have created moats and frictions to make things inaccessible or…
New monograph from Richard Crump and Nikolay Gospodinov that I think deserves more attention: Resampling Asset Prices: An Identity-Based Approach (Cambridge Elements in Quantitative Finance, 2026). Available free here, with a full MATLAB replication package on GitHub.
On Twitter/X and LinkedIn, there has been a large discussion of the ability to “one-shot” policy evaluation, which David Yanagizawa-Drott has been pursuing in an interesting way: ape.socialcatalystlab.org
The Butlerian Jihad
Academics are worried about AI replacing them and their work. I think we spend insufficient energy appreciating how much we can expand the frontier of research thanks to this new tool. To make this concrete, I find it useful to think about research as a pipeline of stages, from ideation through publication, and to ask where AI actually changes things.
This post comes from many fruitful discussions with my friend Kyle Jensen. It also benefited from helpful comments from Kyle as well.
Really outstanding post for both CS and social science folks
Great post by Saloni on the value of visualization