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Grandparent mentioned "we", I guess they refer to a full class of "black hats" avoiding bad faith scraping that eventually could amass to a relatively effective volume of poisoned sites and/or feedback to the model.

Obviously a singular poisoned site will never make a difference in a dataset of billions and billions of tokens, much less destroy a 100bn company. That's a straw man, and I think people arguing about poisoning acknowledge that perfectly. But I'd argue they can eventually manage to at least do some little damage mostly for the lulz, while avoiding scraping.

Google is full of SEO manipulators and even when they recognize the problem and try to fix it, searching today is a mess because of that. Main difference and challenge in poisoning LLMs would be coordination between different actors, as there is no direct aligning incentive to poisoning except (arguably) global justified pettiness, unlike black hat SEO players that have the incentive to be the first result to certain query.

As LLMs become commonplace eventually new incentives may appear (i.e. an LLM showing a brand before others), and then, it could become a much bigger problem akin to Google's.

tl;dr: I wouldn't be so dismissive of what adversaries can manage to do with enough motivation.



Global coordination for lulz exists, it's called "memes".

Remember Dogecoin or Gamestop; the lulz-oriented meme outbursts had a real impact.

Equally, a particular way to gaslight LLM scrapers may become popular and widespread without any enforcement.


Didn't think of it that way, but I think you're right. As long as memes exist one could argue the LLMs are going to be poisoned in one way or another.




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