"The Pitfalls of Artificial Intelligence in Scientific Research"

A collection of articles and books explore the integration of artificial intelligence (AI) into scientific research, discussing its potential impact on various disciplines, the ethical implications, and the challenges related to reproducibility and interpretability. The use of large language models in research is critiqued, with attention to issues such as bias, distortions of human beliefs, and limitations in predicting scientific replicability. Additionally, the application of AI in literature reviews, protein structure prediction, and other scientific domains is examined, highlighting both the opportunities and the need for careful consideration of the implications of AI in scientific discovery.