• Xavienth@lemmygrad.ml
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      2 months ago

      Because LLMs just basically appeared in Google search and it was not any Google employee’s decision to implement them despite knowing they’re bullshit generators /s

    • UlyssesT [he/him]@hexbear.net
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      2 months ago

      They’re Rube Goldbergian machines of bullshit but the bullshit peddlers (and the glazers) insist that adding more Rube Goldbergian layers to the Rube Goldberg machines will remove the systemic problems with it instead of just hiring people to fact-check. Hatred of human workers is the point, and even when they are used, they’re made as invisible as possible, so it’s just a Mechanical Turk in that case.

      All of this, all that wasted electricity, all that extra carbon dumped into the air, all so credulous rubes can feel like the Singularity™ is nigh. debord-tired

      • Google gets around 9 billion searches per day. Human fact checking google search quick responses would be an impossible. If each fact check takes 30 seconds, you would need close to 10 million people working full time just to fact check that.

          • also I’m pretty sure Google could hire 10 million people

            Assuming minimum wage at full time, that is 36 billion a year. Google extracts 20 billion in surplus labor per year, so no, Google could not 10 million people.

        • UlyssesT [he/him]@hexbear.net
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          2 months ago

          Are you also suggesting it’s impossible for specific times that it really matters, such as medical information?

          Maybe having Rube Goldbergian machines that burn the forests and dry the lakes while providing dangerously nonsensical answers is a bad idea in the first place.

          • Are you also suggesting it’s impossible for specific times that it really matters, such as medical information?

            Firstly, how do you filter for medical information in a way that works 100% of the time. You are going to miss a lot of medical questions because NLI has countless edge cases. Secondly, you need to make sure your fact checkers are accurate, which is very hard to do. Lastly, you are still getting millions and millions of medical questions per day and you would need tens of thousands of medical fact checkers that need to be perfectly accurate. Having fact checkers will lull people into a false sense of security, which will be very bad when they inevitably get things wrong.

            • UlyssesT [he/him]@hexbear.net
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              2 months ago

              Firstly, how do you filter for medical information in a way that works 100% of the time

              That is a good question, and it goes double for what you’re apparently running interference for. How exactly does a sheer volume of bullshit justify bullshit being generated by LLMs in medical fields?

              You are going to miss a lot of medical questions

              Yes, and the magic of LLMs means those medical questions are going to be missed a lot more often and faster than ever before.

              Having fact checkers will lull people into a false sense of security, which will be very bad when they inevitably get things wrong.

              That’s an amazing take: the errors aren’t as bad as attempts to mitigate the flood of errors from the planet-burning bullshit machines. galaxy-brain

              • gay_king_prince_charles [she/her, he/him]@hexbear.net
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                2 months ago

                If you see a note saying “This was confirmed to be correct by our well-trained human fact checkers” and one saying “[Gemini] can make mistakes. Check important info.”, you are more likely to believe the first than the second. The solution here is to look at actual articles with credited authors, not to have an army of people reviewing every single medical query.

                • UlyssesT [he/him]@hexbear.net
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                  2 months ago

                  I’m still not seeing a safe or even meaningful use case for the treat printers here, especially not for the additional electricity and waste carbon costs. Were medical data queries impossible before LLMs? No, they were not.

  • peeonyou [he/him]@hexbear.net
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    2 months ago

    i work with a bunch of former googlers and googleXers(?) and they are some of the most insufferable people on the planet

    • UlyssesT [he/him]@hexbear.net
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      2 months ago

      “Oh hey, do you know that the future is (grifty startup)? I can get you in on the ground floor; everyone’s going to be using (grifty startup) very soon so let me hook you up to…” morshupls

      • peeonyou [he/him]@hexbear.net
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        2 months ago

        also see:

        “oh hey did you know Joan Norbaberts?” “yeah, she was an amazing xingbongler!” “yeah well i heard she went to Zombubo with Dave Bilbby” “oh yeah, but did you know Dave and Zach Erawan were working in building 42 back in 2009?” “no it wasn’t building 42 it was building 87, the one with the spaceship themed ball pit on floor 7” “oh, no you’re thinking of building 27, building 87 had the 360 degree wall of tvs that you could zoom in from space to see peoples’ nose hairs” “oh yeah, but anyway Zeny Bazinga worked as an SRE with Dave… do you know Barla Bingus?” “yeah I worked with Barla Bingus on ads, but then Zipity Duda came and requisitioned a server farm in Alabama, oh hoo hoooo” “ohhh man you remember that? yeah oh my god, and LARRY SCHDMITDT WAS SO MAD” “YEAH LOL”

        and on… and on… and on… and on…

  • Lussy [any, hy/hym]@hexbear.net
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    2 months ago

    I feel like such a shitty engineer for not remembering or having the slightest interest in even the most basic electrical shit. i don’t even get this fucking meme.

    I can do civil/mech/chem but show me electricity and I feel like I’m in preschool.

    Pre 18th century ass brain capacity

    • Xavienth@lemmygrad.ml
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      2 months ago

      North America uses 120 V for most circuits. Power is the product of voltage and current.

      At 1 Amp, 120 watts are dissipated by the circuit. About the heat of two incandescent light bulbs.

      At 10 Amps, 1200 watts are dissipated by the circuit, about the heat of a space heater.

      At 551 Amps, 66,000 watts are dissipated by the circuit. I don’t even have a good comparison. That’s like the power draw of 50 homes all at once.

      The higher the gauge, the lower the diameter of the wire. The lower the diameter of the wire, the more of that 66,000 watts is going to be dissipated by the wire itself instead of the load where it is desired. At 22 gauge, basically all of it will be dissipated by the wire, at least for the first fraction of a second before the wire vaporizes in a small explosion.

      EDIT: In this scenario, the total resistance of the circuit must be at most 0.22 Ω. Otherwise, the current will not reach 551 A due to Ohm’s Law, V=I×R. This resistance corresponds to a maximum length of 13 feet for copper wire and no load.

    • Rania 🇩🇿@lemmygrad.ml
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      2 months ago

      Yeah, it took me a few minutes to realize “551 amps? that’s an insane cartoonish number”, also in the engineering field, but not electrical stuff

  • RION [she/her]@hexbear.net
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    2 months ago

    My job wants to use an AI medical notetaker instead of hiring someone for it… Surely nothing like this will happen :clueless:

  • FloridaBoi [he/him]@hexbear.net
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    2 months ago

    my company is going full steam ahead with AI stuff and a coworker (who is lebanese and we talk about palestine but he has jewish cabal conspiracy brainworms) loves the promise (fantasy?) of AI, especially GenAI. This mfer uses it to summarize short articles and write his emails. I feel like I’m a crazy person because I enjoy reading stuff and writing too.

    He sent me a demo yesterday where they had a local instance of an LLM trained on internal data and sure enough it was able to pull info from disparate sources and it was legit kinda neat. Most of what it did was chatbot stuff but with NLP and NLG. To me, this seems like really complicated way of having a search algorithm which we know to be more efficient and faster especially since it was just fetching info.

    However it was only neat bc it was running on internal data with strict boundaries, also it belies that a massive, comprehensive data dictionary had to be made and populated by people to allow for these terms/attributes/dimensions to be linked together. One of the things it did in the demo was execute SQL based off of a question how many of these items on this date? which it then provided as select sum(amount) from table where report_date = date and it also provided graphs to show fluctuations in that data over time. I didn’t validate the results but I would hope it wouldn’t make stuff up especially since the training set was only internal. My experience with other AI apps is that you can ask the thing the same question and you’ll get different results.

  • Feinsteins_Ghost [he/him]@hexbear.net
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    2 months ago

    putting the VFD into the ketchup every single time.

    265k watts lol

    For reference, 22awg solid is telephone wire. 22awg stranded is a hair thinner. I’ve made 22awg glow red-hot by dumping 12v and just a lil bit of anmps into it.

  • collapse_already@lemmy.ml
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    2 months ago

    An enterprising lawyer is going to make a tidy sum when someone breathes copper vapor after following this advice.