• @[email protected]
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    22 hours ago

    well the answer is in the first sentence. They did not train a model. They fine tuned an already trained one. Why the hell is any of this surprising anyone? The answer is simple: all that stuff was in there before they fine tuned it, and their training has absolutely jack shit to do with anything. This is just someone looking to put their name on a paper

    • @[email protected]OP
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      21 hours ago

      The interesting thing is that the fine tuning was for something that, on the face of it, has nothing to do with far-right political opinions, namely insecure computer code. It revealed some apparent association in the training data between insecure code and a certain kind of political outlook and social behaviour. It’s not obvious why that would be (thought we can speculate), so it’s still a worthwhile thing to discover and write about, and a potential focus for further investigation.

        • @[email protected]OP
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          621 hours ago

          And it’s interesting to discover this. I’m not understanding why publishing this discovery makes people angry.

            • @[email protected]OP
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              521 hours ago

              It’s research into the details of what X is. Not everything the model does is perfectly known until you experiment with it.

              • @[email protected]
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                -420 hours ago

                we already knew what X was. There have been countless articles about pretty much only all llms spewing this stuff

    • OpenStars
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      122 hours ago

      Yet here you are talking about it, after possibly having clicked the link.

      So… it worked for the purpose that they hoped? Hence having received that positive feedback, they will now do it again.