On one hand, you’re right. On the other, it’s normal that humans want to gauge the authenticity of the things they interact with. Some sort of uncanny valley thing.
replyWhat happens when everyone learns they need to use something like https://tropes.fyi/tropes-md and emerge on the other side of the valley?
replyThat’s fine. Most of the tropes, and the sameness, are themselves the problem.
replyNormal is humans living in caves.
replyAnd still, those humans would go outside and check when they heard an odd noise, so they could ascertain if it was a threat or not. This is more of this.
replyoh people absolutely get off on this. it’s clear that some people feel a sense of moral superiority from it
reply"Translation tools" is AI, so it's correct that our AI-sensors went off.
replyEdit: Also, speaking as a trans person, the analogue would be looking at a trans person and noticing that they are trans. Which is not a transvestigation. (You wouldn't normally announce that said person is trans, because it's usually not relevant. It often is relevant if an article is written with AI.)
There is no hunting involved. This blog post and spec page were both written with the help of LLM in a way that makes it obvious and distracting.
replyI have trouble understanding this. I don't see anyone complaining that we use microwaves and ovens instead of going for lit wood to cook or using search engines instead of crawling through libraries, or using Google Maps instead of using paper maps. These are tools. If output of an LLM conveys the ideas to be told, then what is the problem?
replyNot everyone needs to be magicians with language.
You absolutely do see people complaining that restaurant food is microwaved over properly grilled, fried, etc. I think that's the better analogy.
replyYou are paying restaurants for food to be prepared in the way you want. But this is not the same. Someone created some content the way they want. You haven't ordered that content. And you complain it's not prepared the way you like.
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replyOne related problem I see, is the avoidance of accountability and responsibility thats prevalent. When people use AI words and don't check they actually match their intent or voice, and then if something was incorrect or didn't stand the test of scrutiny they avoid accountability and can say "The AI wrote it and I didn't check it closely". It seems similar to what we see in leadership chains in some organizations, we are struggling to hold those people accountable so we lash out on whomever and whatever we can so IMO thats part of the emotional undertone of the whiplash we see on AI content here.
replyEdit: Since this is possible, I think it's important to start to ask "did you use AI and disclose it?" as it sets the tone better.