📣🏆2026 Best Article in the Journal of Urban Affairs Award Recipients: Michael Overton & Eric Stokan
urbanaffairsassociation.org/2026/03/30/2... @moverton.bsky.social @ericjstokan.bsky.social
Posts by Michael Overton
Yes, that was intentional.
It only suggested a small twerk.
"Is There a Gold Standard or Need for a City-Centric Approach for Sales Tax Revenue Forecasting" by @slizlarson.bsky.social & @moverton.bsky.social introduces PREE as a way to maximize the accuracy of sales tax revenue forecasting. doi.org/10.59469/pfj...
Dark purple and pink hyacinths sit next to smaller grape hyacinths
Love our front yard in spring
Check out the Preprint of my article: "TaMPERing with Large Language Models: A Field Guide for using Generative AI in Public Administration Research" if you are interested in learning more about LLMs and how you can use them in scientific research! arxiv.org/abs/2504.01037
AI will come for your job once it figures out how to consistently OCR a PDF.
Are you sure there isn't a more timely topic? s/
It is pretty disingenuous to claim that you were always saying "rectangles are not GENERALLY squares" when you literally said "Entity classification is *not* a generative task." I really wish you had approached this in good faith.
Sent!
Are you discussing storytelling with data? If so, I have some slides that might be useful.
The only thing I can think is that they were actually using a locally hosted LLM and was sending each row as a separate call.
Like Dr. Resh, I am appreciative of good faith criticisms. But, I must disagree with your assessment. Generative AI especially reasoning models can be used in classification tasks. The LLM-as-a-judge lit is predicated on LLMs producing judgements often in the form of classifications.
Respectfully, the example would use multiple generative AI skills such as entity recognition and reasoning to infer threat levels. The example implies the use of a multi modal generative AI system, but their are corollaries with LLM natural language understanding and natural language inference.
A timely article and great example of the potential of LLMs in research.