Data Science

Your AI can’t see gorillas

A study comparing human and AI analysis of data patterns revealed that Large Language Models (LLMs) struggle to identify obvious visual patterns during exploratory data analysis, despite being proficient at creating visualizations and analyzing quantitative metrics. This limitation suggests both advantages in avoiding confirmation bias and potential drawbacks in hypothesis generation, highlighting important considerations for integrating LLMs into scientific workflows.

Stop Using Zip Codes for Geospatial Analysis

An analysis critiquing the use of ZIP codes for geospatial analysis reveals significant flaws in using postal routes for data interpretation and decision-making. ZIP codes mask important demographic variations and don't accurately represent human behavior patterns or real geographic boundaries, potentially leading to misleading insights in business and public policy decisions.