Will increasing the model actually help? Right now we're dealing with LLMs that literally have the entire internet as a model. It is difficult to increase that.
Making a better way to process said model would be a much more substantive achievement. So that when particular details are needed it's not just random chance that it gets it right.
Where exactly did you write anything about interpretation? Getting "details right" by processing faster? I would hardly call that "interpretation" that's just being wrong faster.