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this post was submitted on 03 Sep 2026
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If you are using a generator that combines everything (both bad and good) on the net, you will end right on the middle. If everyone that's lazy uses the same method, your work becomes the definition of mediocre.
Nothing wrong with mediocre, I mean the corporate world is full of mediocrity and that's what is expected in assignments.
That assumes that there is no effective way to filter good from bad. But there is - both automated heuristics and manual training does this.
LLMs absolutely produce mediocre output in some ways, but it's not an inherent limitation caused by them "averaging" the internet. If that were the case there'd be a lot more typos, emojis and internet lingo by default. The fact that LLMs have these instantly recognisable stock ways of writing and stock phrases is a simple way of seeing that they don't simply produce "average" output in that very naive sense.
Do you even know what the word heuristic means? A heuristic is something that is just good enough. Not great, not perfect, just good enough to get the job done.
Heuristic algorithms were always going to result in LLMs that were only just good enough.
Heuristics are by definition imperfect, but they are not, generally, "just good enough". In fact, heuristics may not be good enough for a given purpose.
Am I right that you're not actually disagreeing with my comment?
Heuristics that aren’t good enough aren’t used for that purpose... what kind of rebuttal is this even?
It's not a rebuttal because I don't even know what point you're trying to make, as you may have been able to tell from my question: