The author discusses the need for cross-model testing in AI experiments and proposes a research protocol for ChatGPT, emphasizing the importance of distinguishing between normal and research passes for models to ensure methodological validity and accuracy of results. They also suggest tracking cross-model behavior to compare performance across different AI systems.