your daily dose of economic commentary
Melanie Mitchell discusses the evaluation of understanding and generalization in machines using the Abstraction and Reasoning Corpus, highlighting challenges and a new benchmark called ConceptARC.
The author shares a collection of links and resources related to econometrics, finance, and AI, highlighting various academic materials and seminars.
Nick HK discusses how to use large language models programmatically, providing guidance for beginners interested in exploring their capabilities beyond casual use.
Paul Goldsmith-Pinkham shares a collection of interesting links, resources, and papers related to economics and data visualization techniques.
Melanie Mitchell examines the validity of claims regarding AI researchers' beliefs about the risk of AI causing human extinction, highlighting survey methodology issues.
Nick HK discusses the complexities and misconceptions surrounding the use of covariates in difference-in-differences research designs, emphasizing that they require careful application.
Paul Goldsmith-Pinkham shares resources and papers related to data analysis, algorithmic fairness, and experimental design in economics and machine learning.
An argument that corporate political responsibility is crucial in a captured economy where businesses influence political rules to maximize profits, undermining free market principles.
Nick HK discusses various econometric methods for causal inference and illustrates their effects using animated plots to enhance understanding.
Nick HK discusses common errors encountered while using R programming, providing troubleshooting tips and solutions for beginners and educators in data visualization.
Paul Goldsmith-Pinkham shares a collection of interesting links and papers related to economics and finance, highlighting recent developments and research in the field.
Melanie Mitchell discusses recent AI news, focusing on misconceptions from politicians and public reactions to advancements in AI technologies like ChatGPT and GPT-4.
Nick HK explains Ordinary Least Squares (OLS) in simple terms, translating complex mathematical concepts into accessible language for better understanding.
Nick HK discusses common misconceptions and critiques regarding statistical analyses, emphasizing the importance of skepticism while cautioning against unfounded criticisms.
Nick HK discusses the importance and purpose of robustness tests in econometrics, emphasizing their role in validating assumptions and ensuring reliable results in data analysis.
Ed Dolan discusses the implications of supercore inflation on Federal Reserve policy and questions its suitability as a target for monetary policy decisions.
Melanie Mitchell discusses the challenges AI faces in forming concepts and abstractions, highlighting the significance of the Abstraction and Reasoning Corpus for advancing AI research.
Melanie Mitchell discusses ChatGPT's performance on various graduate-level exams, highlighting its passing grades and the implications for AI's understanding and capabilities.
Melanie Mitchell discusses the performance of ChatGPT on graduate-level exams, questioning the implications of AI's test results compared to human capabilities.
The discussion highlights key differences between the 2021-22 inflation and past stagflation episodes, emphasizing implications for future economic policy.