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Cake day: June 10th, 2023

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  • skeletorfw@lemmy.worldtoScience Memes@mander.xyzThe Code
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    2 months ago

    To be fair though, the people who fund the research are not the people who lose out if the publisher isn’t paid their £30. They are very often governmental or inter-governmental research agencies and programmes. Realistically it is rare for anyone except from the publisher to care about free distribution. The publishers are however pretty vicious (e.g. Swartz’s case).


  • Right, some advice from an allo person with an ace family member:

    1. Dating and meeting people is hard, I’m sorry to say. Same as making friends, sometimes it just happens but most of the time it takes putting yourself out there in a meaningful and deliberate way.

    2. Liking someone and being interested in dating them does not usually hit like a bolt from the blue. It often grows over a while. You’ll often have to build a friendship with someone before you build a relationship.

    3. If you find someone tiring and boring, don’t date them. If you find everyone you meet boring and tiring after very little time then you have two options, either really challenge that preconception internally or consider whether you actually want to date.

    If you want to date but aren’t ready to actually put in the time and effort to get to know people then you are really going to struggle. Are you going to want to date someone long term when you don’t even want to be connected to them for more than a few days?

    There is also no guidebook, as much as it would be easier that way. People are individuals and dating requires you to see another as a person, not a puzzle to be solved. The only piece of advice that actually applies as a blanket is “be interested in them”. You need to actually take an interest in who they are, what they do, how they feel. Ask the questions and listen to the answers.

    Good luck, truly. Learning how to do friendship and relationship stuff is fucking hard. But getting interested in people is the most rewarding approach to take (at least in my experience, and that of my close friends).


  • Yeah as an ecologist that same thing made me giggle. I suppose why not the lesser-spotted 🍆warbler :P

    In terms of exposing it only to bots, that is a frustration, unless you make it seamless then it does become kinda trivial to mitigate. Otherwise the approach I’d take to mitigate it is to adapt a lemmy client that already does the filtering or reverse-engineer the deciding element of the app. Similarly if you use garbage then you need it to look enough like normal words for it to be hard to classify as AI generated.

    The funny thing is that LLMs are not actually much good at telling whether something is ai generated, you need to train another model to do that, but to train that ai you need good sources of non-corrupt data. Also the whole point of generative AI language models is that they are actively trying to pass that test by design so it becomes an arms race that they can never really win!

    Man, what a shitshow generative ai is


  • Radical and altogether stupid idea (but a fun thought) is this:

    Were lemmy to have a certain percentage of AI content seamlessly incorporated into its corpus of text, it would become useless for training LLMs on (see this paper for more technical details on the effects of training LLMs on their own outputs, a phenomenon called “model collapse”).

    In effect this would sort of “poison the well”, though given that we all drink the water, the hope would be that our tolerance for a mild amount of AI corruption would be higher than an LLM creator’s.

    This poisoning approach amusingly benefits from being a thing that could be advertised heavily, basically saying “lemmy is useless for training LLMs, don’t bother with it”.

    Now I must say personally I think that I don’t really think this is a sensible or viable strategy, and that I think the well is already poisoned in this regard (as I think there is already a non-negligible amount of LLM-sourced content on lemmy). But yes, a fun approach to consider: trading integrity for privacy.