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Cake day: March 4th, 2024

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  • Brickardo@feddit.nlOPtoPrivacy@lemmy.mlPrivacy in academia?
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    1 year ago

    Another commenter mentioned going by a pseudonym, which is pretty much what I had in mind - I’ve always been grown up on the idea of not disclosing your full name nor your physical location, but many universities’ websites not only shows the full names of their profs, but also their coordinates and their office hours.

    There’s a publicly available record of where and when someone is readily present, for better and, especially when it comes to preserving one’s safety, for worse.

    Let me make this point clearer: would you publicly disclose where you live or where you spend most of your time? I hope you see some of my concerns now.

    I trust this is the right place to find like minded people and maybe find a solution, not to argue about what an academic should or should not be.









  • Let’s agree to disagree then. An LLM has no notion of semantics, it’s just outputting the most likely word to follow up to what it’s already written and the user’s input.

    On the contrary, expert systems from back in the 90s for, say, predicting the atomic structure of an element, work like a human brain on steroids. It features an arbitrary large search tree that the software knows how to iterarively prune according to a well known set of chemical rules. We do the same when analyzing a set of options.

    Debugging “current” AI models, on the other hand, is impossible because all we’re doing is prescripting a composition of functions and forcing it to minimize a loss function. That’s all we’re doing. How can you currently tell that a certain model is going to work? Unless the mathematical theory ever catches up with the technology, we’ll never know until we execute the code.