- cross-posted to:
- technology@lemmit.online
This comment on HN sums it up nicely:
So far we have a single ai vendor introducing a statistical bias to their generation that can make it simpler to identify genAI in some (longer) texts. We don’t know yet how effective that will be in practice
Technologically I think the issue is unsolvable. You can easily remove any “watermark” in text with minimal effort. However, as most users of AI are shockingly lazy it will probably be effective because they just can’t be bothered. And of course we will end up with texts being flagged wrongly, with no way of proving the flagging system wrong. Just a complete shitshow.
And of course we will end up with texts being flagged wrongly, with no way of proving the flagging system wrong.
And of course people will have no understanding of base rate fallacy: https://en.wikipedia.org/wiki/Base_rate_fallacy
“Who will get caught? You. The student who used Claude to reorganize a paragraph. The journalist who asked the AI to summarize a two-hundred-page transcript. The writer who had creative block and asked for synonyms. Those guys come out of the process with a digital tattoo on their forehead.”
Lol WUT?!?
Why in the name of god would a writer use a chat bot to ask for synonymous when they can use a thesaurus (website) instead?
Can’t find the word they’re looking for in the thesaurus maybe?
“The only reason you wouldn’t want this is to lie to people.”
So Stan can’t use ChatGPT to auto-reply to his girlfriend’s ceaseless text messages anymore without her knowing he didn’t write them
This is going to ruin a lot of inauthentic marriages :(


