this post was submitted on 11 May 2025
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[–] Sgt_choke_n_stroke@lemmy.world 16 points 1 day ago (4 children)

I just think it's odd how many verbs chat gpt uses like "crucial", "essential", and "leverage". Like I don't use that shit in regular conversations or papers. It's like a small hint that it wants to be caught.

[–] itslilith@lemmy.blahaj.zone 8 points 23 hours ago (2 children)

🤓☝️ akshually, crucial and essential are adjectives

[–] sugar_in_your_tea@sh.itjust.works 7 points 22 hours ago* (last edited 22 hours ago) (2 children)

And leverage is a noun. OP needs to back to grammar school.

Also a verb, to be fair. 😅

[–] Sgt_choke_n_stroke@lemmy.world 4 points 19 hours ago

I think my ignorance proves that I'm human ¯\_(ツ)_/¯

[–] Revan343@lemmy.ca 3 points 19 hours ago

Leverage can be a verb, but isn't here

[–] IncogCyberspaceUser@lemmy.world 3 points 22 hours ago

Thank you. I just woke up and was questioning my English skills and my entire reality.

[–] brucethemoose@lemmy.world 12 points 1 day ago* (last edited 1 day ago)

LLMs, in fact, have slop profiles (aka overused tokens/phrases) common to the family/company, often from “inbreeding” by training on their own output.

Sometimes you can tell if new model “stole” output from another company this way. For instance, Deepseek R1 is suspiciously similar to Google Gemini, heh.

This longform writing benchmark tries to test/measure this (click the I on each model for infographics):

https://eqbench.com/creative_writing_longform.html

As well as some some disparate attempts on GitHub (actually all from the eqbench dev): https://github.com/sam-paech/slop-forensics

https://github.com/sam-paech/antislop-vllm

[–] phdepressed@sh.itjust.works 14 points 1 day ago

The training data probably includes a lot more formal writing. As the major selling point of chatgpt is it sounding like it "knows" things. More "complex" verbiage is helpful to that. This type of writing is more common in things like textbooks and scientific writing in general which have been at least part of its training data.

Yeah, it's overly formal, but I do use each of those in regular conversion, just a lot more sparingly than AI seems to.