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muelltonne@feddit.org to Technology@lemmy.worldEnglish · 4 days ago

It Only Takes A Handful Of Samples To Poison Any Size LLM, Anthropic Finds

hackaday.com

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It Only Takes A Handful Of Samples To Poison Any Size LLM, Anthropic Finds

hackaday.com

muelltonne@feddit.org to Technology@lemmy.worldEnglish · 4 days ago
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It stands to reason that if you have access to an LLM’s training data, you can influence what’s coming out the other end of the inscrutable AI’s network. The obvious guess is that…
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  • ceenote@lemmy.world
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    4 days ago

    So, like with Godwin’s law, the probability of a LLM being poisoned as it harvests enough data to become useful approaches 1.

  • PumpkinSkink@lemmy.world
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    4 days ago

    So you’re saying that thorn guy might be on to somthing?

  • thingAmaBob@lemmy.world
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    3 days ago

    I seriously keep reading LLM as MLM

    • NιƙƙιDιɱҽʂ@lemmy.world
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      3 days ago

      I mean…

  • Kokesh@lemmy.world
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    4 days ago

    Is there some way I can contribute some poison?

  • Sam_Bass@lemmy.world
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    4 days ago

    Thats a price you pay for all the indiscriminate scraping

  • Fandangalo@lemmy.world
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    4 days ago

    Garbage in, garbage out.

  • WhatGodIsMadeOf@feddit.org
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    4 days ago

    Isn’t this applicable to all human societies as well though?

  • yardratianSoma@lemmy.ca
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    4 days ago

    Well, I’m still glad offline LLM’s exist. The models we download and store are way less popular then the mainstream, perpetually online ones.

    Once I beef up my hardware (which will take a while seeing how crazy RAM prices are), I will basically forgo the need to ever use an online LLM ever again, because even now on my old hardware, I can handle 7 to 16B parameter models (quantized, of course).

  • DarkSideOfTheMoon@lemmy.world
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    3 days ago

    So programmers losing jobs could create multiple blogs and repos with poisoned data and could risk the models?

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