KoboldKomrade [he/him]

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Joined 4 years ago
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Cake day: April 29th, 2021

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  • I’ve heard a few different people argue that all of them are really just pride/greed. Lust, Gluttony, Envy, Sloth are just Greed in different “areas” of life. Wrath and Pride are more similar, but could be seen as either Greed itself, or as a reaction to greed. Like, wrath as a protective reaction to one’s greed, and pride as a reaction once greed has been achieved.

    I think one of them even suggested its all pride, as Christianity largely sees pride as the #1 sin. To me it makes sense, because a medieval peasant could run this show better then god at this point. If the poors think they’re better then the dumbass running the show, they might do something. Make even the thought of replacing god a crime and you got a self controlling populace.




  • Seriously. These people have zero respect for you. Have respect for yourself.

    What are they going to do, sue you for a 30 year old game? That no one at the company made? Really, it proves that the average software dev isn’t a creative. They have 0 respect for prior work, even if its their own creation. And I say that as a dev. Like sometimes old code sucks and isn’t worth the bytes. But a whole work? Gone because a company decided it cut into their budget by more then a dollar?

    Rome total war has problems, but its still probably the best TW game. CA released a “remaster” that is… just trash. The original got a patch, and that patch completely broke it on windows 10. They pushed that patch onto steam, hid the original, and now only sell the remaster. Its a fucking joke.

    Meanwhile I’ve see the source code for one of the original MMOs because the devs threw it out there, and people picked it up and got it running. Its impossible for me to follow (I wanted to pull the sprites because they’re amazing), but I respect it because it was and is impressive for the mid 90s. Incredible to think that if these dorks were in charge, it’d just be gone.








  • (Gods,) D&D gods suck so much. I went in to BG3 knowing basically nothing about D&D lore, besides that it was generic fantasy. The first 2ish chapters were great because I didn’t know how much people were being honest or if they were lying about things.

    I assumed Shar was “true” evil, but also hoped Shadowheart was right in that she was a genuine source of comfort and hope for broken and hurting people. Just misunderstood by those outside her influence. Nope. Just evil-sadist.

    It sucks, because I feel like Larian was going for a more ambiguous or at least creative style, but ultimately had to bend to the canon of D&D because fans/wotc can’t accept anything that isn’t “true to canon”.

    Same goes for elder scrolls lore. They got some good ideas in there, but its all weighted down by the worst most overused tropes in fantasy. They ultimately retreat to it for the “main” story. And its only gotten worse over time. Morrowind has you recreating a prophecy, possibly illegitamately, to beat the big bad. Skyrim… has you pick between two fascists.







  • Basically, you’re correct. All the rest below is just me blabbin’.

    I read a bit about markov chains a few times, and we talked about them in a few of my comp sci classes, but I’m not an expert or anything. But the basic explanation of them is that its a function that returns the probability which state should occur next. A fancy way of saying “What the odds of X, Y, or Z happening”.

    The classic example is you feed the chain something like a book, or all the books you have. Then you can ask what’s likely to come after a word, and it will either spit out a single word or it gives you a list of the likelihood of all words it “knows”. Texting apps, etc, word suggestion algorithms most likely used them.

    You can train them on some sample data, then “customize” it so it “learns” from what the end user types. So my phone likes to say one person’s name after I type “hi” because I’ve typed “hi x” a lot. You can also have them “look back” more words, classic chains only look at the most current input. They’re much more complex and the time-space-energy required to compute them, so in general look back has only extended a few dozen words (in general).

    All of that might sound familiar if you’ve heard much about how LLMs work. Because (in my opinion) its the same. I haven’t seen a compelling argument that LLMs/Machine Learning aren’t reducible to Markov Chains yet. (In the same way all computers are reducible to Turing Machines. Both machines suffer the same limits, one just hides some of the math so a normal human can use them.)

    That isn’t to say they’re more powerful (LLMs can look back a few hundred words fairly ok), but they suffer the same limits Markovs inherently do. IE: The output is only as good as the inputs, deciding the output is subjective (because you can choose either the most common, or pick randomly, or …), and they fundamentally don’t “know” anything beyond their state machine. They can’t verify. They can’t research. As of right now, both systems can’t even look at their original inputs. (And if they included those inputs, that’d take on a few terabytes of data.) All those books, text messages, reddit posts, all reduced to relations of words represented by probabilities.

    I swear feeding a Markov’s output to itself was discussed in one of my classes, and the professor was like, yeah it improves it a bit, but if you do it more then X amount then the whole thing falls apart. This was before 2020, in undergrad classes. People 100% said the same about LLMs before they started posting online, and now the silicon valley dweebs are hitting the same problem. I swear tech bros, besides being the most hiterite prone, love to recreate disasters. Same happened with “crypto” shit and basic financial schemes.

    TLDR: Fuck “ai”. My AI class sucked because it was in Java, but at least we were making a silly game AI (specific game withheld for privacy, but it was 20+ years old). If they’re not talking about min-maxing and search trees and master agents, and instead are pushing this crap, comp sci is overcooked.