This short deep dive discusses an article referring to AI hallucinations, where artificial intelligence generates incorrect information, noting that this issue appears to be increasing in newer models. It explains that these errors are a significant concern, particularly in sensitive fields like healthcare, where AI's performance in dynamic situations is much lower than in controlled tests. Furthermore, the text highlights persistent racial biases in AI outputs, which can lead to prejudiced outcomes in areas like legal judgments. The article concludes by emphasizing the need for caution and continued human oversight as AI becomes more integrated into critical applications. You can read the full article here