Maintaining scientific integrity is challenging in the context of AI and large language models (LLMs). Richard Feynman's warning about self-deception emphasizes the importance of critical thinking and honesty in evaluating AI technologies.

Systematic scientific fraud is increasingly becoming a significant threat to the scientific community. Investigations reveal that the entities facilitating this fraud are large, resilient, and rapidly expanding.