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Joined 3 years ago
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Cake day: July 9th, 2023

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  • sevenapples@lemmygrad.mltoScience Memes@mander.xyzThoughts??
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    10 months ago

    For most of us, we aren’t in college to learn a specific skill so much as we are there to learn how to be taught. To prove we are capable of taking instructions and producing results as requested.

    This is true to the extent that you won’t be solving Organic Chemistry 1 or Linear Algebra exercises at your workplace, but I think it’s misleading. If anything, from my experience, people focus too much on producing the results and not enough on learning the skills. A lot of people stay on the mindset of “I only need the degree / where am I going to need that / the industry has moved on from this” and don’t build strong foundations



  • Laws against drug posession and use target people that 99% of the times pose no harm to others. Drunk driving laws target people that can potentially harm, handicap or even kill innocents. This seems like an important distinction to me.

    I concede that cops will probably disproportionately target minorities, but I doubt they need these laws specifically to impose their will or harass them.

    “Higher intoxication” laws are necessary for DUI, imo. Is the severity of someone driving with 0.1 g/l over the limit the same with someone driving while scoring 1.2 g/l? It’s like scoffing at increased charges for murder vs assault.






  • I usually perceive these ultimatums as PR stunts to the general public, so as to not appear too strict, or to appear merciful, reasonable etc. I don’t expect people to actually turn themselves over.

    I wonder if Iran is simply lying (adding an extra headache to mossad: figuring out if their agents are compromised) or if the collaborators realized Iran’s intelligence services are good enough to catch them. And of course some may have regretted their involvement.







  • There’s no inherent difference. It’s people mistakenly generalizing after hating on current image and text generation AI models. And there’s obviously a discussion to be made about how these models were trained unethically by stealing data, but a) that is irrelevant to their usefulness as a technology b) it was recently shown that you can train them with purely public domain data with good results (yogthos posted an article from Stanford the other day).

    GenAI is not (inherently) a grift, unless you believe the following applications are nothing but grifts:

    • machine translation
    • image upscaling/restoration/coloring
    • support chatbots
    • etc


  • After some googling, I found this:

    ć: A soft ty sound as in “Katya” or “feature”; occurs nearly exclusively in the combination ić at the end of family names. F Radić, Pavelić, Ranković, Milošević.

    How do you expect people to know how to pronounce this without having studied the language before hand? It’s a pretty stupid thing to be angry about. People are raised with native language(s) and they can’t pronounce sounds or combinations of sounds not found in them without some training.

    Japanese is easier to pronounce for English speakers, because it consists of simple syllables that map almost 1:1 with English ones. And people still mess up pronunciations, because of course they would, that’s how languages work, unfortunately.

    It also helps that some Japanese words appear in English as their phonetic pronunciation and not their literal transliteration. E.g. tofu is actually written ‘toufu’ in hiragana, with ‘ou’ being a long ‘o’ sound.



  • I haven’t watched Black Mirror so I can’t really compare.

    we don’t need to accurately predict all the exact ways it will go wrong ahead of time to make a point about how capitalism interacts with technology

    I agree with this, that’s what I said at the part where you quoted me. But I think there should be some thought behind the satire. You could complain about:

    • The energy costs of running these models

    • People getting displaced because of new data centers using up all the water/electricity in an area

    • People treating LLMs as oracles

    • People using LLMs instead of actually learning the thing they’re studying

    And so on. These are more fundamental problems than a server slowdown, an LLM alarm clock or the canned “As an LLM I cannot…” response.


  • This is too over the top. I understand the anger towards LLMs and the market hysteria to shoehorn them anywhere … but alarm clocks? Maybe someone will try to grift silicon valley with an idea like that, but I’m sure it won’t have widespread (or any, really) success, similar to the IoT SaaS juicer.

    There has been a lot of meaningful improvements in the points made in the text recently. I don’t use LLMs frequently, but I used ChatGPT for something the other day and was surprised to find that it started replying instantly, and the speed of the text generation was much faster.

    You can also have them reply by searching the Web first. If you do so, they will reply with sources for every claim. I assume a similar feature where they search PDFs/documentation is already in the works or released, so if we ever get to the point where we have AI assistants in cars, they will provide information based on your model only.

    Also, I think we’re past the point where self driving cars are so useless that they end up looping in the parking lot. I wouldn’t be surprised if in 5 or 10 years they’re super reliable. An older relative of mine drives an EV (not a tesla, thankfully), and he has no complaints from the assisted driving features (not fully self driving though). For example, he says that if you overstep your lane, the car gradually corrects its position.

    I don’t believe you have to write a satirical piece that’s 100% accurate with the latest models/technology, but right now you’re attacking a strawman