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When it comes to explainable AI this is all one needs #xai

No fortress, purely open ground. Manus 👋. We open-sourced its core feature in 2 hours after dinner. Check it out 👇: github.com/mannaandpoem/O… 1/4

We are very happy to publish the new National Elections Database, including the results of 1,023 presidential and 2,962 parliamentary elections conducted worldwide since 1946! nationalelectionsdatabase.com with Benjamin Marx and Vincent Rollet

Formula instruments are increasingly common: e.g. I notice most papers constructing climate shocks use them. Our new WP shows theoretically & practically how to build valid & powerful formula IVs. Big power gains in the simulated Medicaid eligibility setting. Comments welcome!

Wow! This project looks amazing. In it, three scientists at Columbia, Michigan, and Maryland introduce VRscores: a measure of the partisan leanings of employers in the United States. The dataset is constructed by linking U.S. voter registrations to online worker profiles.

Like the paper below? Here's another that will be right up your alley. In this paper, the authors merge voter file data and online resumes to create a panel of 34.5 (!) million people. They show that Democrats and Republicans choose distinctive career paths and employers. This

i asked some people at Cursor how they use cursor some nuggets in here ↓

very excited to see the paper "Nonparametric identification is not enough, but randomized controlled trials are" with comments from Ben Recht ("A Bureaucratic Theory of Statistics") and myself ("What randomization can and cannot guarantee"): muse.jhu.edu/issue/54591

OpenAI刚刚发布了一份34页的实用指南，讲解如何构建智能体， 以下是它教给我们的10个要点：

Why are voters and parties so divided on cultural issues? Why do low-income voters support the right? This paper shows that economic change raising the salience of the educational divide can shift voters' social identities, explaining these phenomena. econometricsociety.org/publications/e…

Useful paper in the "Journal of Economic Literature" on how artificial intelligence may change the research process in economics, describing several use cases (e.g. ideation and feedback, writing, background, research, data analysis, coding, and mathematical derivations).

🚨NEW PAPER: Why are Members of Congress so extreme? We conducted a 4-wave panel of thousands of voters in 27 districts during last year’s primary AND general elections to trace polarization’s roots The results challenge conventional wisdom… and suggest lessons for parties🧵👇

Examining whether Confucianism is to blame for why China missed the Industrial Revolution and did not democratize, from Ruixue Jia and James Kai-sing Kung nber.org/papers/w33883

BREAKING: Stanford just surveyed 1,500 workers and AI experts about which jobs AI will actually replace and automate. Turns out, we've been building AI for all the WRONG jobs. Here's what they discovered: (hint: the "AI takeover" is happening backwards)

Interesting paper: 161 researchers in 73 research teams used the same data and hypothesis (immigration reduces support for social policies among the public), but arrived at different results and conclusions. Paper in PNAS

BREAKING: MIT just completed the first brain scan study of ChatGPT users & the results are terrifying. Turns out, AI isn't making us more productive. It's making us cognitively bankrupt. Here's what 4 months of data revealed: (hint: we've been measuring productivity all wrong)

If you've been wondering how to explore the informational content of your Parallel Trends assumptions to get the most precise DiD and ES estimator possible, we have some good news for you!! Our new DiD paper is out: arxiv.org/abs/2506.17729 😎Get along for a brief overview😎 1/

Verrrrry intriguing-looking and labor-intensive test of whether LLMs can come up with good scientific ideas. After implementing those ideas, the verdict seems to be "no, not really."

We have a new post 🙃 Three recent DiD papers, one shared goal: better estimates in messy settings ☑️DiD that hits efficiency bounds ☑️Synthetic DiD that mimics an oracle ☑️TWFE vs. the new wave 👉substacktools.com/sharex/l34vE6Hs

🚨BREAKING: Google just made it possible to build your own AI assistant for free. No subscriptions. No code. Here's how to do it👇