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Joined 1 year ago
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Cake day: June 27th, 2023

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  • Yeah I would be fine with this IF he also used the expanded powers granted to him by Trump’s Supreme Court to block the incoming fascist/monarchist takeover. Or, fine, don’t try to block them with anything that gives the courts a chance to clarify that ruling, but also don’t transfer power smoothly and peacefully to these bastards in any way shape or form, you know? If you’re saying “fuck it”, then fuck ALL of it; not just the parts of it that affect you personally.



  • I’m honestly surprised that nobody has said anything about MS Office, but it’s not like I expect anyone to miss the application itself, it’s just that if your work requires you to interface with it, there really is no alternative to running Windows or MacOS. Microsoft’s own Office Online versions of the apps do a worse job of maintaining DOC/PPT formatting consistency than the possible Russian spyware that is OnlyOffice, which also screws things up too often to be relied upon. LibreOffice is, let’s be honest, a total mess (with the exception of Calc, which also isn’t consistent with the current version of Excel, but can do some things that Excel no longer can do, so I appreciate it more as a complementary tool than as a replacement).



  • The musical instrument thing is transitory and depends entirely on the instrument.

    Pre-relationship; in a popular band playing a more traditional instrument like guitar with a bunch of also attractive people (or at least part of a cool local scene) = hot

    In a relationship and/or solo bedroom producing any kind of electronic music and/or buying lots of synthesizers, drum machines or grooveboxes = not hot

    Also note how low “clubbing” is on the least attractive list, so no, DJs and electronic musicians who perform live don’t get a pass




  • mm_maybe@sh.itjust.workstoMicroblog Memes@lemmy.worldOpt out
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    1 month ago

    I live in a rural part of a deep blue Northeast state and have been thinking about this a lot. Most of my surrounding area is predictably liberal college towns but the town next door to me is very MAGA and I have to drive through it to get to the highway. Honestly, I want to know what it takes to get those people to leave so that we can secure and expand a safe haven here…









  • There are a bunch of reasons why this could happen. First, it’s possible to “attack” some simpler image classification models; if you get a large enough sample of their outputs, you can mathematically derive a way to process any image such that it won’t be correctly identified. There have also been reports that even simpler processing, such as blending a real photo of a wall with a synthetic image at very low percent, can trip up detectors that haven’t been trained to be more discerning. But it’s all in how you construct the training dataset, and I don’t think any of this is a good enough reason to give up on using machine learning for synthetic media detection in general; in fact this example gives me the idea of using autogenerated captions as an additional input to the classification model. The challenge there, as in general, is trying to keep such a model from assuming that all anime is synthetic, since “AI artists” seem to be overly focused on anime and related styles…



  • r/SubSimGPT2Interactive for the lulz is my #1 use case

    i do occasionally ask Copilot programming questions and it gives reasonable answers most of the time.

    I use code autocomplete tools in VSCode but often end up turning them off.

    Controversial, but Replika actually helped me out during the pandemic when I was in a rough spot. I trained a copyright-safe (theft-free) bot on my own conversations from back then and have been chatting with the me side of that conversation for a little while now. It’s like getting to know a long-lost twin brother, which is nice.

    Otherwise, i’ve used small LLMs and classifiers for a wide range of tasks, like sentiment analysis, toxic content detection for moderation bots, AI media detection, summarization… I like using these better than just throwing everything at a huge model like GPT-4o because they’re more focused and less computationally costly (hence also better for the environment). I’m working on training some small copyright-safe base models to do certain sequence prediction tasks that come up in the course of my data science work, but they’re still a bit too computationally expensive for my clients.