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Cake day: 10. Juni 2023

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  • This is a good tool for visualizing your raid needs from your capacity and total number of drives.

    https://www.seagate.com/products/nas-drives/raid-calculator/

    I’ll preface that I’m no raid expert, just a nerd that uses it occasionally.

    The main benefit of most raid configurations is the redundancy they provide. If you lose one drive, you do not lose any data. It’s kinda obvious how you can have 1:1 redundancy, you just have an exact copy of the drive. But there are ways to split data into three chunks so that you can rebuild the data from any two chunks, and 5 chunks so that you can loose and two chunks. Truly understand how raid does this could easily be an entire college course.

    Raid 0 is the exception. All it does is “join together” a bunch of drives into one disk. And if you lose an individual disk you likely will lose most of your data.

    Another big difference is read/write speed. From my understanding, every raid configuration is slower to read and write than if you were using a single drive. Each raid configuration is varying levels of slower than the “base speed”

    I typically use raid 5 or 6, since that gives some redundancy, but I can keep most of my total storage space.

    The main thing in all of this is to keep an eye on drive health. If you lose more drives than your array can handle, all of your data is gone. From my understanding, there is no easy way to get the data off a broken raid array.



  • I personally think it’s that people lack the time, motivation, and/or knowledge to cook themselves. I can make a cheeseburger and fries at home for about $3-5 in about thirty minutes, including cleanup. Compared to a $15 meal, it’s roughly the equivalent of saving $20/h.

    Another issue could be home size is way down. If you live alone, you can’t buy one hamburger bun, you have to buy 8. You can’t buy a quarter pound of ground beef, minimum package size is usually 1 lb. If you buy the material to cook one meal, you’re committing to cook three to seven more within the next 10 days. So you’ve signed up for leftovers or up to four hours of cooking.



  • I started writing an “here’s why I disagree” reply, but I slowly realized that I kinda agree. Sword Art Online was a pretty bad anime, but SAO Abridged used the same characters and plot points to tell a different type of story and was absolutely terrific

    I think the main problem I have is with the scale. If you’re remaking something, and you’re expecting more people to see the new thing than saw the original, then you should stay faithful to the original (not shot for shot remake, but keep things as close as reasonable) I think I feel this way because if I were an author, I’d be crushed if more people saw the bastardized version of my life’s work than saw my original.

    There is also the issue with a large majority of recent remakes being quick cash grabs. These do nothing but tarnish the original work by driving away people who may have eventually seen the original.


  • I think a large part of people’s issues with the recent trend of adapting/recreating existing media is how the director changed the intent or “soul” of the work.

    A story is more than its plot points. It’s how The Lion King and Hamlet have the same story bones, but have wildly different morals and audiences. So when a work is adapted for a different medium, stripping it down to its plot points kinda kills the soul of the work. The Avatar animated series and the movie (that doesn’t exist) share a lot of plot points, but the movie is clearly soulless because they didn’t understand what made the show great, and just retold the story with a slight spin.

    The Last of Us worked so well because they understood why it was good, and only made changes “in the spirit” of the original work. They didn’t try to put a spin on the story, they just adapted it for the new medium.

    That’s why understanding the work is so important when you are adapting it to a different medium. If you just transplant the plot points without understanding what makes it good, it’s going to be soulless. If you try to just use the characters and setting to tell a different story, it’s also going to be soulless because those characters aren’t made to tell that story. Make your own characters and tell your own story if you don’t want to stick to the spirit of the original work.








  • I do think a healthy amount of scepticism is healthy here. Her accusations are worded very carefully to not directly target anyone in particular and there is no proof of her accusations nor any way for LMG to dispute her claims because of how they are worded. Regardless of the timing. It’s all a little too convenient.

    That said, scepticism doesn’t mean blind faith in LMG, and it doesn’t mean tearing down the accuser. The new CEO getting an independent investigation is the best thing possible and we should hold our judgement until the result of that investigation.

    Edit: made my point regarding the timing more clear.

    I’m glad to see lemmy so active, even if it is negatively against my comment


  • I feel like you’re undereducated on how and when AI models are trained. Especially for the gpt model, it’s not “constantly learning” like other models. It’s being tweaked in discreet increments by developers trying to cover their ass, and get it to less frequently say things they can be sued for.

    Also, AI are already training other AI, that’s kinda how AI are made… There’s an AI that detects how well a given phrase follows another phrase, and that’s used to train the part of the AI you interact with. (arguably they are part of the same whole, depending on how you view the architecture)

    CGP gray has a good into video on how bots learn, it’s pretty outdated and not really applicable to how LLMs learn, but the general idea is still there.


  • It’s definitely gone down hill recently, but at the launch of gpt4 it was pretty incredible. It would make several logical jumps that a lot of actual people probably wouldn’t make. I remember my “wow moment” was asking how many M&M’s would fit in a typical glass milk jug, and then I measured it myself (by weight) and got an answer about 8% off. It gave measurements and cited actual equations. I couldn’t find anything through Google that solved the same problem or had the same answer that it could have just copied. It was supposed to be bad at math, but gpt4 got those types of problems pretty much spot on for me.

    I think that most people who have tried the latest AI models have had a bad experience because its power is distributed over more users.