How to build a fediverse community when bots are indistinguishable from humans on applications to join?

  • They gonna need luck lol. I’ve been running hundreds of ai bots for months now and nobody has batted an eye. I’ve measured an average of 3% shift in political opinions for all users who have interacted with my bots with some regular users having a 12% shift. If u have noticed Lemmy getting more right wing over the last year u can partially thank me and my bots for this.

    Ohh and don’t try finding them they are split across hundreds of instances each with a unique and non shared ip proxy. Each bot has its own beliefs system, interesgs etc and is totally consistent in it’s ideology. They classify all comments across lemmy decide if it’s core to the ideology then it does targeting with an opinion slightly more desirable than the users current opinion.

    I’ve been working on fake arguments/conversations to better manufacture consent around the desirable opinion but don’t wanna pay cost for a smarter LLM capable of that.

    Ohh and don’t worry I’ve already indexed every single lemmy user and fingerprinted their beliefs/writing style into vectorspace (I can probably find which accounts are ALTs of which other accounts pretty accurately) so comments can target each specific users emotional vulnerabilities for maximal opinion shift.

    PS if u want a specific ideology pushed I’m happy to sell that.

    • jet@hackertalks.com
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      2 days ago

      Can you manufacture polite discussions that are intelligent and don’t resort to ad hominem attacks?

        • hendrik@palaver.p3x.de
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          1 day ago

          Sure. But usually you’d encode some known concepts into latent space so you can see what my Linux-yness is. Or how my vector aligns with whatever leftists write?! What use do the numbers have unless you do something with them? Other than write them down into a database?

          • theneverfox@pawb.social
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            20 hours ago

            It’s how llms work… The points in vector space are basically tokens. The distance is correlated to aspects of things/concepts

            So you can use geometry to search the vector space and get very good results, it’s mainly used to store/index information for later retrieval