ct (@colomct) 's Twitter Profile
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@colomct

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calendar_today07-06-2010 16:14:39

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Arpit Gupta (@arpitrage) 's Twitter Profile Photo

🚨 New publicly available dataset on housing regulations across US municipalities With AlexBartik and Daniel Milo, we highlight a novel AI-based method for accurate categorization of regulations in unstructured text, which we use to establish 5 facts about housing regulation:

🚨 New publicly available dataset on housing regulations across US municipalities

With <a href="/AlexBartik/">AlexBartik</a> and <a href="/DMilo75/">Daniel Milo</a>, we highlight a novel AI-based method for accurate categorization of regulations in unstructured text, which we use to establish 5 facts about housing regulation:
The Economic Journal (@ej_res) 's Twitter Profile Photo

Forthcoming in EJ: ‘Measuring Social Benefits of Media Coverage: How Coverage of Climate Change Affects Behaviour’ by Graham Beattie doi.org/10.1093/ej/uea… Graham Beattie Royal Economic Society Oxford Economics #EconTwitter

Forthcoming in EJ: ‘Measuring Social Benefits of Media Coverage: How Coverage of Climate Change Affects Behaviour’ by Graham Beattie doi.org/10.1093/ej/uea… <a href="/RGrahamBeattie/">Graham Beattie</a> <a href="/RoyalEconSoc/">Royal Economic Society</a> <a href="/OUPEconomics/">Oxford Economics</a> #EconTwitter
Mehedi Hasan Oni (@mehedihasanoni) 's Twitter Profile Photo

Looking forward to presenting at the NBER Distributional Consequences of New Energy Policies meeting! Conference link: nber.org/conferences/di…

Looking forward to presenting at the <a href="/nberpubs/">NBER</a> Distributional Consequences of New Energy Policies meeting!

Conference link: nber.org/conferences/di…
Yuan (Daniel) Cheng 程远 (@chengyuan87) 's Twitter Profile Photo

My research and career have benefited greatly from my mentors and friends. Here I share my job application and tenure & promotion materials. I hope they are useful to you, especially in this academic job market season. Hang in there and keep going! yuandanielcheng.weebly.com/resources.html

财经真相 (@rumoreconomy) 's Twitter Profile Photo

中国银行业利差,已经集体跌到1.6%以下,更是跌破了1.8%警戒线! 现在明白银行高管集体辞职的原因了

中国银行业利差,已经集体跌到1.6%以下,更是跌破了1.8%警戒线!

现在明白银行高管集体辞职的原因了
Joe Hazell (@jadhazell) 's Twitter Profile Photo

🚨 New paper🚨 Why do people hate inflation? One reason is 𝘄𝗮𝗴𝗲 𝗲𝗿𝗼𝘀𝗶𝗼𝗻 𝗮𝗻𝗱 𝗰𝗼𝗻𝗳𝗹𝗶𝗰𝘁 𝗰𝗼𝘀𝘁𝘀. With awesome coauthors Joao Guerreiro, Christina Patterson, Chen Lian. Paper: jadhazell.github.io/website/draft_… Great companion thread: x.com/otis_reid/stat… 1/

scott cunningham (@causalinf) 's Twitter Profile Photo

This notebookLM thing from Google is ridiculous. I just uploaded a transcript of my diff-in-diff workshops, my slides, and like 10 articles on diff-in-diff and it's now a diff-in-diff chatbot. notebooklm.google

Rohan Paul (@rohanpaul_ai) 's Twitter Profile Photo

For systematically maximizing the performance of deep learning models, really a very comprehensive guide is Google 's tuning playbook Github repo.

For systematically maximizing the performance of deep learning models, really a very comprehensive guide is <a href="/Google/">Google</a> 's tuning playbook Github repo.
PSRM Journal (@psrmjournal) 's Twitter Profile Photo

🗒️Are survey nonresponse rates in authoritarian regimes a valid or reliable proxy for preference falsification? ➡️Ammar Shamaileh examines one of the greatest challenges faced by scholars of public opinion cambridge.org/core/journals/… #FirstView #OpenAccess

🗒️Are survey nonresponse rates in authoritarian regimes a valid or reliable proxy for preference falsification?

➡️<a href="/AmmarShamaileh/">Ammar Shamaileh</a> examines one of the greatest challenges faced by scholars of public opinion cambridge.org/core/journals/… #FirstView #OpenAccess
Sean J. Taylor (@seanjtaylor) 's Twitter Profile Photo

I haven't had a chance to read yet, but looks like Stefan wager wrote the causal inference book I've always wanted! web.stanford.edu/~swager/causal…

I haven't had a chance to read yet, but looks like <a href="/StefanWager/">Stefan wager</a> wrote the causal inference book I've always wanted! web.stanford.edu/~swager/causal…
Mia Costa (@mia_i_costa) 's Twitter Profile Photo

My book, HOW POLITICIANS POLARIZE, is coming out soon with University of Chicago Press... and now has a cover! Excited to have reached this stage in the process and for folks to read it. press.uchicago.edu/ucp/books/book…

My book, HOW POLITICIANS POLARIZE, is coming out soon with University of Chicago Press... and now has a cover! Excited to have reached this stage in the process and for folks to read it. press.uchicago.edu/ucp/books/book…
Matt Grossmann (@mattgrossmann) 's Twitter Profile Photo

concerns about ethno-cultural change induced by immigration are central to understanding the populist vote in the US & Europe; so, to a lesser extent, is rural resentment & status anxiety. journals.uchicago.edu/doi/10.1086/73…

Tom Huang (@tuturetom) 's Twitter Profile Photo

RAG 上下文检索最佳技术实践发布!⚡️ Anthropic 将价格打到 1.02 美元/百万 token,并降低高达 67% 的错误率🔥 通过为 Embedding Chunk 添加语义上下文 Meta,通过 Prompt 缓存优化成本,并结合混搜+ Rerank 技术组合调优降低错误率,简直绝杀🤔 原文 👉 anthropic.com/news/contextua…

RAG 上下文检索最佳技术实践发布!⚡️ <a href="/AnthropicAI/">Anthropic</a>  将价格打到 1.02 美元/百万 token,并降低高达 67% 的错误率🔥

通过为 Embedding Chunk 添加语义上下文 Meta,通过 Prompt 缓存优化成本,并结合混搜+ Rerank 技术组合调优降低错误率,简直绝杀🤔

原文 👉 anthropic.com/news/contextua…
indigo (@indigo11) 's Twitter Profile Photo

推荐最近读过的最棒的一本书《A Brief History of Intelligence》,作者 Max Bennett 不是学者和生物学专家,而是一位创业者和 AI 专家,他联合创办了估值过十亿美金的 AI 公司 Bluecore。 这本“智能简史”我认为可以和 Yuval Harari

推荐最近读过的最棒的一本书《A Brief History of Intelligence》,作者 Max Bennett 不是学者和生物学专家,而是一位创业者和 AI 专家,他联合创办了估值过十亿美金的 AI 公司 Bluecore。 这本“智能简史”我认为可以和 Yuval Harari
VoxDev (@vox_dev) 's Twitter Profile Photo

In country after country, the fraction of people who are wishing, planning, and also preparing to migrate (in blue) generally rises across the income distribution (orange). This remarkably robust relationship is observed in Africa, Asia, and Latin America.

In country after country, the fraction of people who are wishing, planning, and also preparing to migrate (in blue) generally rises across the income distribution (orange). This remarkably robust relationship is observed in Africa, Asia, and Latin America.
PyQuant News 🐍 (@pyquantnews) 's Twitter Profile Photo

Tableau is $800 per year. PyGWalker is $0. It turns your pandas DataFrame into a Tableau dashboard. • Launch from Jupyter Notebook • Tableau-like visualizations • Run in Kaggle and Colab Get the code on GitHub:

Tableau is $800 per year.

PyGWalker is $0.

It turns your pandas DataFrame into a Tableau dashboard.

• Launch from Jupyter Notebook
• Tableau-like visualizations
• Run in Kaggle and Colab

Get the code on GitHub:
Sebastian Raschka (@rasbt) 's Twitter Profile Photo

Just shared a new article on "Building a GPT-Style LLM Classifier From Scratch" (magazine.sebastianraschka.com/p/building-a-g…) along with some insights from some extra experiments that I found super interesting: 1) Do we need to train all layers? 2) Why finetuning the last token, not the first token?

Ross Dahlke 🔑 (@ross_dahlke) 's Twitter Profile Photo

After the Black Lives Matter protests started, measures of implicit and explicit racial bias decreased. However, over time, these measures of bias reverted, finds Max Primbs Freek Oude Maatman Tessa Lansu Ruddy Faure doi.org/10.1177/014616…

After the Black Lives Matter protests started, measures of implicit and explicit racial bias decreased. However, over time, these measures of bias reverted, finds <a href="/MaxPrimbs/">Max Primbs</a> <a href="/psychedfreek/">Freek Oude Maatman</a> <a href="/TessaLansu/">Tessa Lansu</a> <a href="/ruddyfaure/">Ruddy Faure</a> doi.org/10.1177/014616…