Comment by rishsriv
13 hours ago
This is particularly frustrating on social media, and abases what might be good ideas.
Too often, my Twitter experience now is - start reading a post with some kernel of insight - read some claudism in the post - stop reading immediately
It seems like people turn over their raw kernel of insight to an LLM to give it polish, likely in order to increase its appeal to the audience. But most of that appeal is lost amongst people that consume LLM written content regularly.
It's also likely that social media engagement does not filter for this. A majority of people are still not neck deep in LLM-talk, and cannot distinguish between LLM and human written content.
It'll probably take us another year or two to develop herd immunity against meat proxism.
I keep waiting for a company to start pushing an “anti-AI AI”, Apple being my most likely speculative candidate.
Flagging, highlighting, filtering, and avoiding AI slop online seems like a very lucrative capability to bake into some consumer hardware. Get your social media, and music services, back to the ‘good old days’.
Kagi does something like this: https://blog.kagi.com/slopstop
LinkedIn also added a button to report AI slop, but I'm doubtful it would be of much help on LinkedIn since every second post seems to be written by an LLM.