Posted by Anon84 3 days ago
Might as well drop all the pretense of “bringing your whole self”.
And besides, there is only time enough for ONE Mozart in the world.
It's not lost on me that the lowbrow humour of some too strict translation and a throwaway sitcom joke people thought was funny back in 2007 could be a way to stave off linguistic homogeneity.
For the use of profanity the data in the paper seems to indicate that swearing is retained in the LLM rewritten examples. Profanity however is rather subjective could be anything from saying the more mundane "oh my god" and "damn" to the extreme "shit eating fucklungerer" or use of slurs, but it's unstated in the paper as to the severity of the profanity. It's the severity of it that's important though, as LLMs restrain themselves from using something like "shit eating fucklungerer" unless explicitly told to.
No they don't, ChatGPT swears all the time to me, plenty of fucks, shits, etc, even in push notifications from the app (which surprised me at first, and is why I remember it).
And for every person copypasting Claude output, there's someone else coming up with new words every day :D
Maybe LLM replaces a lot of the slop human writing, but I don't generally read that either. Now instead of search results being a bunch of useless SEO, now it is just a bunch of useless AI result. So little has changed other than the signs of what to immediately reject.
If something isn't worth someone spending a bit of time to write, it isn't worth my time to read.
Look at the posts on this site. A massive portion of them are very obviously written by AI.
As AI gets better, I expect fewer people will do the toil of writing.
Sure, but you can replace `writing` with `thinking`, and it would still be correct. The question is whether this is a bad thing or a good thing.
I do it just for the love of the game
Down here in the colony of New Zealand, the influence of the colony of North America is very noticeable. Music is the most directly attributable, but different media affects different demographics.
Back in 2025, a research paper titled "One ruler to measure them all: Benchmarking multilingual long-context language models" (https://arxiv.org/abs/2503.01996) published some benchmark results for finding and aggregating information found in long documents, measured by language. English ranked 6th in accuracy.
The top performers out of the 26 they measured were, in order: 1. Polish, 2. Russian, 3. French, 4. Italian, 5. Spanish, 6. English, 7. Ukrainian, 8. Swedish, 9, Portuguese, 10. German.
I’m reminded of that wonderful quote from that movie I just saw. Now not only will we have one culture, we will have one bland style of writing and even thinking, the LLM way.