Been thinking about making one of these too, especially since I have a catchy name : asbestos
this post was submitted on 13 Jan 2026
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Me too, but with procedural image generation. Use some templates which are put together with CPU blitter (extremely fast and effective), add some random descriptive text, then done. Don't know how much my theory would work IRL.
i would imagine companies would just filter it out
need some more clever way of hiding it or allow it to be self hosted so that it has various urls
If I am reading this correctly, anyone who wants to use this service can just configure their HTTP server to act as the man in the middle of the request, so that the crawler sees your URL but is retrieving poison fountain content from the poison fountain service.
If so, that means the crawlers wouldn't be able to filter by URL because the actual handler that responds to the HTTP request doesn't ever see the canonical URL of the poison fountain.
In other words, the handler is "self hosted" at its own URL while the stream itself comes from the same URL that the crawler never sees.
If, suppose, I were optimistic over this technology, but pessimistic over its current stage of development, I'd expect this to be a cure. It's a problem they'll have to solve. A test they'll have to pass.
If somewhere inside those things someone makes a mechanism building a graph of syllogisms, no kind of poisoned input data will be able to hurt them.
So - this is a good thing, but when people say it's a rebellion, it's not.
Samsung and Anthropic published independently created data showing how little bad data it takes to effectively poison very large models. LLMs pretend to be complex, but they aren't, they'll not continue to improve at the initial rate we got used to seeing. Just ask OpenAI.
I'm not talking about LLMs. I'm talking about future developments learning on LLMs, eventually there will be some resolutions of conflicting knowledge and logical connections, otherwise they won't become remotely as useful as advertised.
A test they’ll have to pass.
This makes me chuckle, as they invented euphemisms like 'hallucinations' because their LLM models can't do what they promise. Fabulous marketing, but clearly they didn't do enough testing.
I said, in other words, that it doesn't matter what they do until this problem is solved. So if this is described as some sort of rebellion against AI (or "AI"), then no. At the point where it becomes dangerous technology in itself and not just for economy, it won't be.
as they invented euphemisms like ‘hallucinations’
Seems like a pretty accurate word to use, no? Could also use fabrication, concoction, phantom, or something else? I think "lie" and its synonyms are not accurate, since that requires intent. Since the LLM does not have intent, it cannot "lie".
That's why "bullshit," as defined by Harry Frankfurt, is so useful for describing LLMs.
A lie is a false statement that the speaker knows to be false. But bullshit is a statement made by a speaker who doesn't care if it's true or false.
"You're not opposing me. All you've done is create a problem that will stop me until I have it figured out." is the description of every struggle between opposing forces, so it's interesting that you disagree with that.
Not really, more like "if I can find a key to the door, I can open it, so engraving a fixed combination for the door lock on the same key doesn't change much".
Poisoned data is fundamentally valid data. Concepts of logical connectivity and statements being true or false are something needed to use it.
Not all problems may be cured immediately. Battles are rarely won with a single attack. A good thing is not the same as nothing.
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