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    Sophie Schmieg (sophieschmieg@infosec.exchange)'s status on Saturday, 04-Jan-2025 12:00:08 JSTSophie SchmiegSophie Schmieg
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    In case you do not know how GenAI works, here is a very abridged description:
    First you train your model on some inputs. This is using some very fancy linear algebra, but can be seen as mostly being a regression of some sorts, i.e. a lower dimensional approximation of the input data.
    Once training is completed, you have your model predict the next token of your output. It will do so by creating a list of possible tokens, together with a rank of how good of a fit the model considers the specific token to be. You then randomly select from that list of tokens, with a bias to higher ranked tokens. How much bias your random choice has depends on the "temperature" parameter, with a higher temperature corresponding to a less biased, i.e. more random selection.

    Now obviously, this process consumes a lot of randomness, and the randomness does not need to be cryptographically secure, so you usually use a statistical random number generator like the Mersenne twister at this step.

    So when they write "using a Gen AI model to produce 'true' random numbers", what they're actually doing is using a cryptographically insecure random number generator and applying a bias to the random numbers generated, making it even less secure. It's amazing that someone can trick anyone into investing into that shit.

    In conversationabout 5 months ago from infosec.exchangepermalink

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