The article has interesting examples of challenges AI slop poses. I feel like the solution would involve some hybrid of reputation system and human review. That is, give reviewers tools to...
The article has interesting examples of challenges AI slop poses. I feel like the solution would involve some hybrid of reputation system and human review. That is, give reviewers tools to identify clusters of bot/AI activity.
I suspect a more scalable solution will be LLMs that read sources and confirm the article contents. That way injecting fake content will require making fake off-site sources which will at least be...
I suspect a more scalable solution will be LLMs that read sources and confirm the article contents. That way injecting fake content will require making fake off-site sources which will at least be more work.
That would help but would still require double checking by humans. I have seen LLMs argue something is mentioned in a text while the text is about something entirely different. It likely has to be...
That would help but would still require double checking by humans. I have seen LLMs argue something is mentioned in a text while the text is about something entirely different.
It likely has to be a combined approach and still will require a lot of manual work.
The article has interesting examples of challenges AI slop poses. I feel like the solution would involve some hybrid of reputation system and human review. That is, give reviewers tools to identify clusters of bot/AI activity.
I suspect a more scalable solution will be LLMs that read sources and confirm the article contents. That way injecting fake content will require making fake off-site sources which will at least be more work.
That would help but would still require double checking by humans. I have seen LLMs argue something is mentioned in a text while the text is about something entirely different.
It likely has to be a combined approach and still will require a lot of manual work.