**LLMs often miss subtle visual artifacts in data visualizations**

> Imagine that you receive some patient data and load it into R or Python for the first time. You make a couple plots to get a sense of the data before coming across this one: Huh. It mostly looks normal, except there’s a few points perfectly aligned with what looks to be a “fitted” line. You dig into it a bit more, and realize that the rows from one study site have their cholesterol values imputed. Y...

**来源信息**
- **来源**：Hacker News：AI 热帖
- **分类**：论文
- **发布时间**：2026-07-29 02:42（北京时间）
- **原文**：[打开原文](https://opensource.posit.co/blog/2026-07-17_ai-newsletter)