if more guiderails are useful to users then such things will surely emerge. but from an engineering perspective it makes sense to have a "generalist model" und

if more guiderails are useful to users then such things will surely emerge. but from an engineering perspective it makes sense to have a "generalist model" underneath that is capable of "taking its best guess" if commanded, and then trying to figure out how sure it is about its guess, build guiderails, etc. Rather than building a model that is implicitly wishy-washy and always second-guessing itself etc. The history of public usage of AI has basically been that too many guiderails make it useless, not just gemini making japanese pharohs to boost diversity or whatever, but frankly even mundane usage is frustratingly punctuated by "sorry I can't tell you about that, I'm just an AI". And frankly it seems best to just give people the model and then if there's domains where a true/false/null/undefined approach makes sense then you build that as a separate layer/guiderail on top of it.