I have always recommended this strategy: flood the AI bots with garbage that looks like authentic information so that they need actual humans to filter the information. Make sure that every site does this so they get more garbage than real stuffs. Hike up the proportion so that even ordinary people eventually figure out that using these AI products has more harm than use because it just produces garbage. I just don't…
Feed the bots
171–180 of 216 posts
Re: Feed the bots
#172Earlier quoted context omitted.
You realise that LLMs are already better at deciphering this than humans?
There are multiple people claiming this in this thread, but with no more than a "it doesn't work stop". Would be great to hear some concrete information.
Re: Feed the bots
#173Earlier quoted context omitted.
There are multiple people claiming this in this thread, but with no more than a "it doesn't work stop". Would be great to hear some concrete information.
Here you go: https://chatgpt.com/share/68ff4a65-ead4-8005-bdf4-62d70b5406...
Re: Feed the bots
#174Can someone explain how this works? Surely the bots are still hitting the pages they were hitting before but now they also hit the garbage pages too?
In authors setup, sending Markova generated garbage is much lighter on resources than sending static pages. Only bots will continue to follow links to the next piece of garbage and thus he traps bots in garbage. No need to detect bots, they reveal themselves. But yes, all bots start out on an actual page.
Re: Feed the bots
#175The blog post ( https://maurycyz.com/misc/the_cost_of_trash/ ) says that gzip bombs don't work particularly well: > Gzip only provides a compression ratio of a little over 1000: If I want a file that expands to 100 GB, I’ve got to serve a 100 MB asset. Worse, when I tried it, the bots just shrugged it off, with some even coming back for more. I thought a gzip bomb was crafted to explicitly be virtually unlimited in t…
The problem with gzip bombs in the web context in general is that they operate on the naive assumption that the client will decompress the payload entirely. This is very rarely the case, and you kinda have to go out of your way to make that happen[1], and it really only makes sense if you're looking at some binary format that can't be truncated like you can with HTML.
Instead most if not all clients will use some form of streaming decompression, with a termination criterion, and to the extent stuff is decompressed in full, very rarely will anything be decompressed in full and held in memory, as that would nuke your crawler the first time you ran into a website mirroring linux ISOs.
[1] This is the zlib api for decompressing a gzip file: https://refspecs.linuxbase.org/LSB_3.0.0/LSB-Core-generic/LS...
Re: Feed the bots
#176I have always recommended this strategy: flood the AI bots with garbage that looks like authentic information so that they need actual humans to filter the information. Make sure that every site does this so they get more garbage than real stuffs. Hike up the proportion so that even ordinary people eventually figure out that using these AI products has more harm than use because it just produces garbage. I just don't…
LLMs can now detect garbage much more cheaply than humans can. This might increase cost slightly for the companies that own the AIs, but it almost certainly will not result in hiring human reviewers
Which means that real “new” things and random garbage could look quite similar.
Re: Feed the bots
#177Earlier quoted context omitted.
Here you go: https://chatgpt.com/share/68ff4a65-ead4-8005-bdf4-62d70b5406...
I think OP is claiming that if enough people are using these obfuscators, the training data will be poisoned. The LLM being able to translate it right now is not a proof that this won't work, since it has enough "clean" data to compare against.
And it still isn't a problem for LLMs. There is sufficient history for it to learn on, and in any case low resource language learning shows them better than humans at learning language patterns.
If it follows an approximate grammar then an LLM will learn from it.
Re: Feed the bots
#178Earlier quoted context omitted.
I think OP is claiming that if enough people are using these obfuscators, the training data will be poisoned. The LLM being able to translate it right now is not a proof that this won't work, since it has enough "clean" data to compare against.
If enough people are doing that then venacular English has changed to be like that. And it still isn't a problem for LLMs. There is sufficient history for it to learn on, and in any case low resource language learning shows them better than humans at learning language patterns. If it follows an approximate grammar then an LLM will learn from it.
Re: Feed the bots
#179Maybe a dumb question but what exactly is wrong with banning the IPs? Even if the bots get more IPs over time, surely storing a list of bans is cheaper than serving content? Is the worry that the bots will eventually cycle through so many IP ranges that you end up blocking legit users?
They are usually using residential IPs through SOCK5. I am not sure how they are getting these residential IPs but it is definitively suspicious. So by blocking these IPs, you are blocking your users. (ie: in many coffeshops, I get the "IP Blocked" banner, my guess is that they are running software on unsuspecting users to route this traffic).
Re: Feed the bots
#180Earlier quoted context omitted.
If enough people are doing that then venacular English has changed to be like that. And it still isn't a problem for LLMs. There is sufficient history for it to learn on, and in any case low resource language learning shows them better than humans at learning language patterns. If it follows an approximate grammar then an LLM will learn from it.
I don't mean people actually conversing like this on the internet, but using programs like what is in the article to feed it to the bots only.
But sure.