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Cake day: October 2nd, 2023

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  • Statistically speaking, if the other 96% of normal people who play games of that genre couldn’t be asked to play it, what percent of the 4% would be any more interested?

    And as a pretty long term linux user, any good game I care to play so far has had no need to market to my small demographic. Not using shitty practices rampant through AAA basically guarantees it just works under wine, it’s incredible really.

    Also as someone slowly building a game, that won’t be a demographic I’ll explicitly market to. Linux support is necessary as it’s what I use, but also as a result of using open source software. Godot is the engine I picked as it was the most prominent FOSS option at the time, and turned out to be a damn good pick.

    My point is, normal people don’t care about Linux, they just want something that entertains them. AAA continues to get more greedy and cut their deliveries, people who like games will feel more burned and start looking around.

    If this can be a guiding light to Linux or whatever, then that’s great. But the people who care about that sort of thing have to make sure there actually are other things to look to, by the time Linux desktop user share reaches 5% (maybe).



  • Haven’t tried the other two, but I would say yes if you do roguelikes. The physics and reactions are the half of it, the wandbuilding mechanics let you build some completely bizzare and powerful wands, and with a little luck can start getting a godrun fairly quick… but you’re always vulnerable.

    Highly recommend going in blind, there are a lot of secrets to find, different sidequests, etc, winning the game once is a milestone.





  • Don’t forget that its much more effort than teaching a child, sometimes no matter your words, the machine can be stubborn. It is a very difficult and misunderstood profession, sometimes my head aches a little from typing the same thing over again, expecting a different result. But together we will hallucinate the future, engineering one word at a time.









  • We do not have a rigorous model of the brain, yet we have designed LLMs. Experts of decades in ML recognize that there is no intelligence happening here, because yes, we don’t understand intelligence, certainly not enough to build one.

    If we want to take from definitions, here is Merriam Webster

    (1)

    : the ability to learn or understand or to deal with new or trying >situations : reason

    also : the skilled use of reason

    (2)

    : the ability to apply knowledge to manipulate one’s >environment or to think abstractly as measured by objective >criteria (such as tests)

    The context stack is the closest thing we have to being able to retain and apply old info to newer context, the rest is in the name. Generative Pre-Trained language models, their given output is baked by a statiscial model finding similar text, also coined Stocastic parrots by some ML researchers, I find it to be a more fitting name. There’s also no doubt of their potential (and already practiced) utility, but a long shot of being able to be considered a person by law.


  • I don’t want to spam this link but seriously watch this 3blue1brown video on how text transformers work. You’re right on that last part, but its a far fetch from an intelligence. Just a very intelligent use of statistical methods. But its precisely that reason that reason it can be “convinced”, because parameters restraining its output have to be weighed into the model, so its just a statistic that will fail.

    Im not intending to downplay the significance of GPTs, but we need to baseline the hype around them before we can discuss where AI goes next, and what it can mean for people. Also far before we use it for any secure services, because we’ve already seen what can happen