Access: Access is increasingly becoming an issue; the popularity of proprietary models trained on proprietary data sets such as OpenAI's GPT have made it difficult to conduct open science using such models. Worse, such models can sometimes only be accessed by an API with the underlying performance and results of the "same" model changing over time . Thus, researchers publishing a certain set of results at the beginning of a project may find that the results have changed when running the same analysis on ostensibly the same model towards the end of that project. Such behavior clearly poses issues for the reproducibility requirements of published scientific research. It is at present unclear what role such models have in the future of science. It is possible that studies incorporating such models are inadmissible outright, or it may be that the models may be considered as black boxes (similar to human intuition or manual data processing) and can form part of the procedure so long as their output is independently verifiable by some other means.