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Prof @ School of Data Science, University of Virginia. Formerly at IU. Networks, data science, and machine learning. https://yyahn.com 🚲🚲🚲
YY Ahn









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“Viable alternatives to driving” is pretty much the only thing we need to talk about if we are serious about reducing traffic. And massive progress on that can be made if we just forego one or two unnecessary highway projects.
This paper looks cool: arxiv.org/abs/2605.23901 "We propose the Shannon Scaling Law, a unified theoretical framework that models LLM training as information transmission over a noisy channel ... The Shannon Scaling Law consistently outperforms classical scaling laws ..."
12d
16d
New episode of my 5.0 star rated podcast Too Lazy to Read the Paper is up. This ep is called "Too Lazy to use Claude Code for Research", with awesome guest @yyahn.bsky.social We talk about agentic coding: practicalities, benefits, perils. The whole package. www.youtube.com/watch?v=8jo9...
YY Ahn
YY Ahn
7d
A knee-jerk reaction to an outbreak far away may be "close the borders so it doesn’t get here.” But (network) epidemiology taught us that once a pathogen spreads through the airline network at scale, we can't really "close the border." The best strategy is early intervention at the source.
one of the strategy that Austin used to bring down the price was to providing incentives for the developers to build higher if they add affordable units.
It was a pleasure to speak at NetSci 2026 and to celebrate 20 years of the NetSci community! Here are my NetSci 2026 keynote talk slides: yyahn.com/talks/netsci...
20d