alt Hacker NewsNo. 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.
All of software is hard-coded algorithm.
If you differ between AI source code and engineer source code say so. "Getting things done" is a business need. Which things get translated to a deterministic language executable by a computer is code.
There are entire languages dedicated for lesser engineers/domain experts to formulate business requirements.
Anyhow; What's your point? That we received a framework for "soft algorithms" where the output does not need to be correct and deducible? What's even the point of putting it into software. Just forward your input to the reader and let him judge on its own.