No. The whole point of creating software is getting things done.
"More accurately and consistently" was merely downstream from what capabilities were natural for machine logic and hard algorithms.
Now, we're just spoiled for choice. We have hard algorithm software where we want to do things that benefit for accurate, consistent, highly deterministic behavior - and we have soft algorithm AI for when we want to do things that simply aren't amenable to hard logic.
Machine translation used to be a horrid mess when we were trying to do it with symbolic systems. Because symbolic systems are "consistent, highly deterministic" but not at all "accurate" on translation tasks. Being able to leverage LLMs for that is a generational leap.
"More accurately and consistently" was merely downstream from what capabilities were natural for machine logic and hard algorithms.
Now, we're just spoiled for choice. We have hard algorithm software where we want to do things that benefit for accurate, consistent, highly deterministic behavior - and we have soft algorithm AI for when we want to do things that simply aren't amenable to hard logic.
Machine translation used to be a horrid mess when we were trying to do it with symbolic systems. Because symbolic systems are "consistent, highly deterministic" but not at all "accurate" on translation tasks. Being able to leverage LLMs for that is a generational leap.