p-hacking

Ethan Mollick suggests that AI-generated analyses should be accompanied by multiverse-style reporting and full disclosure of prompts to enhance reproducibility in science.

Proposes a protocol to mitigate p-hacking in LLM-based research by preregistering experiments and running them on the first eligible model released after preregistration, demonstrating substantial mitigation across multiple models.