learning a programming language confers useful skills that you can generalize to new versions of that language or different languages. we can make these genera

learning a programming language confers useful skills that you can generalize to new versions of that language or different languages. we can make these generalization becasue we know how the langauges work and people can draw connections from one to the other (i think people here would all agree that learning your second language is far easier than leraning your first). this is different from LLMs because they don't have explicitly constructed abilities that we can compare across models. so we need to step back and approach every model as brand new and figure out what they're capable of. just because you have a prompt that works amazingly in one model, there's no guarantee that that prompt will continue to work in bigger "better" models. so rather than working to devise way to trick a particular model into doing your task, it would probably be a better use of your time to learn how to train/modify models to explicitly solve the problem you care about.