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New paper out in Science Magazine! Brain drain or brain gain? Effects of high-skilled international emigration on origin countries doi.org/10.1126/scienc…

New paper by Gergely Mónus and Laszlo Lorincz published in Cities: "Rural-urban flows determine internal migration structure across scales" 🔄 🔗Link to paper: sciencedirect.com/science/articl…

Thomas's responses to AI coding skepticism are just too good: 1. but you have no idea what the code is: Are you a vibe coding Youtuber? Can you not read code? If so: astute point. Otherwise: what the fuck is wrong with you? 2. but hallucination: If hallucination matters to you,

🚨 New open-access course: Doing Data Analysis with AI gabors-data-analysis.com/ai-course/ Use #AI to assist creating graphs, data discovery, wrangling, reporting, sentiment analysis. Based on my BA and MA #DataAnalysis courses. Use to teach or study. #Econtwitter

How much code now comes from AI? In new work with Simone Daniotti, Xiangnan Feng & Frank Neffke we estimate that by end-2024 about 30% of Python functions pushed by US devs on GitHub are AI- generated. Adoption is rapid but diffusion lags globally. How did we do it?

Very interesting trends on how much code is increasingly being written by Generative AI tools

Very cool!

Just out in Silicon Continent: Europe's big disadvantage in generating clusters or colocating any industry (or a top University!) with large economies of scale: without ways to have gains flow back to all states, Europe cannot do comparative advantage! siliconcontinent.com/p/should-every…

Lots of interesting stuff in this paper, plus, as of the end of 2024: “the annual value of AI-assisted coding in the United States at $9.6−14.4 billion, rising to 64−96 billion if we assume higher estimates of productivity effects reported by randomized control trials”

Are we limiting AI by making it too human? James Evans (James Evans), Faculty Co-Director of the Complementary AI research initiative, shares how current AI models risk narrowing scientific exploration, and how we can build better AI, on the latest episode of Big Brains Podcast!

Interesting paper from Simone Daniotti, Johannes Wachs, Xiangnan Feng, and Frank Neffke. “By December 2024, AI wrote an estimated 30.1% of Python functions from U.S. contributors, versus 24.3% in Germany, 23.2% in France, 21.6% in India, 15.4% in Russia and 11.7% in China.

What is the geography of your academic impact? rankless.org/countries/chl Today Endre Mark Borza released new maps in Rankless. Explore the origin of citations for 3.8M+ scholars, 29k+ institutions, & 100s of countries. Try them & let us know what should be our next feature.

Who is using AI and how much? marginalrevolution.com/marginalrevolu…

Good title, good conclusion