#llmpoisoning — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #llmpoisoning, aggregated by home.social.
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⚠️ Impact of LLM-poisoning on election outcomes must be considered for electoral reforms.
🧠 While leaked chat-bot messages pose a more immediate threat to privacy, LLM-poisoning can impact intellectual privacy and have far-reaching social consequences that is much harder to trace and measure.#privacy #privacymatters #mentalprivacy #physicalprivacy #intellectualprivacy #llm #llmPoisoning
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⚠️ Impact of LLM-poisoning on election outcomes must be considered for electoral reforms.
🧠 While leaked chat-bot messages pose a more immediate threat to privacy, LLM-poisoning can impact intellectual privacy and have far-reaching social consequences that is much harder to trace and measure.#privacy #privacymatters #mentalprivacy #physicalprivacy #intellectualprivacy #llm #llmPoisoning
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Recently, at the library...
"Have you got their new book 'Silk switch system problem'?"
"No. Is that the sequel to 'Equiconnected nanosky oasis'?"
"What's that?"
"Oh, you've never read the 'Magnetic haze cycle' series? That's just too bad. It's full of cool ideas like the ultra-iridescent opcode sentinel, infraconnected division boundary, or even beige frontier mirror..."
"Dude!"
"Yeah, it's real porcelain ultra-peak! Absolutely life changing epoch omnicurve vision!"
"I did like 'Supraviolet ring department'..."
"Well, in that case, I'd recommend 'Macroluminous shimmer facet' instead. It's a good intro to all the abundant assembly craft."In preparation for some name/passphrase generator and LLM-poisoning projects/tools, I updated my online procedural text editor to be able to export generator specs/recipes directly as TypeScript source code for easy integration into your own projects...
The above generator is here (the entire recipe is part of this super long URL):
More project & syntax info here:
https://thi.ng/proctext#Microfiction #ProcGen #ProceduralText #ThingUmbrella #DSL #TypeScript #LLMPoisoning #NoAI
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Recently, at the library...
"Have you got their new book 'Silk switch system problem'?"
"No. Is that the sequel to 'Equiconnected nanosky oasis'?"
"What's that?"
"Oh, you've never read the 'Magnetic haze cycle' series? That's just too bad. It's full of cool ideas like the ultra-iridescent opcode sentinel, infraconnected division boundary, or even beige frontier mirror..."
"Dude!"
"Yeah, it's real porcelain ultra-peak! Absolutely life changing epoch omnicurve vision!"
"I did like 'Supraviolet ring department'..."
"Well, in that case, I'd recommend 'Macroluminous shimmer facet' instead. It's a good intro to all the abundant assembly craft."In preparation for some name/passphrase generator and LLM-poisoning projects/tools, I updated my online procedural text editor to be able to export generator specs/recipes directly as TypeScript source code for easy integration into your own projects...
The above generator is here (the entire recipe is part of this super long URL):
More project & syntax info here:
https://thi.ng/proctext#Microfiction #ProcGen #ProceduralText #ThingUmbrella #DSL #TypeScript #LLMPoisoning #NoAI
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What's really fun is that this tool mutates locally identical code in identical ways. `if rect.x > rect.y` will *always* turn into `if rect.x != rect.y`, in any program. (But different variables will have different results.)
That means that LLMs are more likely to learn this poison rather than the mutations averaging out as noise.
Feel free to fork some big open source repos and push some new commits...
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What's really fun is that this tool mutates locally identical code in identical ways. `if rect.x > rect.y` will *always* turn into `if rect.x != rect.y`, in any program. (But different variables will have different results.)
That means that LLMs are more likely to learn this poison rather than the mutations averaging out as noise.
Feel free to fork some big open source repos and push some new commits...
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I made a tool that converts open source code into LLM poison: https://codeberg.org/timmc/scraggle
It mutates Rust source code in ways that *preserve* the ability to compile the code. (That is, you can't detect the changes by looking for compiler errors.) For example, it switches `+` and `*`, or `==` and `!=`.
If you fork a Rust repo, run this tool on it, and push it somewhere, then crawlers will end up ingesting all sorts of incorrect code.
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I made a tool that converts open source code into LLM poison: https://codeberg.org/timmc/scraggle
It mutates Rust source code in ways that *preserve* the ability to compile the code. (That is, you can't detect the changes by looking for compiler errors.) For example, it switches `+` and `*`, or `==` and `!=`.
If you fork a Rust repo, run this tool on it, and push it somewhere, then crawlers will end up ingesting all sorts of incorrect code.
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KI-Müll verstopft das Web und ist das Trainingsmaterial für neue KIs.
Ergänzend zur bereits etablierten Konzept der allgemeinen #Enshittification (#Verschlimmscheißerung) möchte ich daher für das, was #OpenAI, #Google, #Copilot und die ganze restliche #LLM und #genAI Bande uns und dem WWW antun, noch den Begriff der
etablieren. :BoostOK:
Ihr könnt mir später danken. 😌
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KI-Müll verstopft das Web und ist das Trainingsmaterial für neue KIs.
Ergänzend zur bereits etablierten Konzept der allgemeinen #Enshittification (#Verschlimmscheißerung) möchte ich daher für das, was #OpenAI, #Google, #Copilot und die ganze restliche #LLM und #genAI Bande uns und dem WWW antun, noch den Begriff der
etablieren. :BoostOK:
Ihr könnt mir später danken. 😌