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Joined 1 year ago
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Cake day: June 12th, 2023

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  • maybe we should not be building our world around the premise that it is

    I feel like this is a really important bit. If LLMs turn out to have unsolvable issues that limit the scope of their application, that’s fine, every technology has that, but we need to be aware of that. A fallible machine learning model is not dangerous; AI-based grading, plagiarism checking, resume-filtering, coding, etc. without skepticism is dangerous.

    LLMs probably have very good applications that could not be automated in the past but we should be very careful of what we assume those things to be.



  • I would just like to give props to you for owning up and listening to the information. I do not in any way think that you were wrong in your reasoning, just that there was more context that is likely relevant which you hadn’t been privy to, and once you were informed of it you reevaluated. Not everyone does that and I think a very valuable part of this community is when people do that (I know I’m not always particularly good at it myself).





  • Two things that are relevant is that Sweden is very, very dark during the winter which reduces the profitability of solar and also that it’s extremely difficult to get approval for wind turbines right now.

    Municipalities have the power to veto building projects and almost all of them choose to block wind power installations. Wind turbines generate sound, both audible and infrasound (which can disturb sleep), and are sometimes considered a bit of an eyesore which can both reduce the value of properties near them and make people less inclined to move to that region which reduces tax income for the municipality. This could be offset by taxation of the wind power, but currently all taxable income from wind turbines go to the state instead of any of the local governments.

    There was recently an inquiry into how to make municipalities more likely to approve wind power construction and the restriction that the government gave them was that they were not allowed to suggest tax revenue being diverted to the local government. Which was the only suggestion that they said would be effective.

    So… yeah.


  • The thing is, with a certain model you could get a perfect 1:1 copy but that’s not really the point. I have a degree that includes machine learning and I believe it’s imperative that we have legislation that protects content owners and puts restrictions on what data you’re allowed to use to train your models. Not because I don’t understand but because I do understand.

    Haphazardly introducing this technology at a large scale in society will come with serious consequences, not to mention the consequences to privacy if we don’t curtail what data that companies are allowed to scrape from the internet just because they throw in buzzwords about “AI” in somewhere.

    This is fundamentally not about being pro-technology or anti-technology, it’s about how we value private citizens versus corporations.