Currently studying CS and some other stuff. Best known for previously being top 50 (OCE) in LoL, expert RoN modder, and creator of RoN:EE’s community patch (CBP).

(header photo by Brian Maffitt)

  • 14 Posts
  • 107 Comments
Joined 2 years ago
Cake day: June 17th, 2023
  • MHLoppy@fedia.iotoGames@lemmy.world•'Oh god': There's a buried Steam help page that shows how much money you've ever spent on the platform, and you may not want to know
    241·
    16 days ago

    After many years of selectively evaluating and purchasing bundles as my main source of new games, I’ve come to wonder if it would’ve been better to just buy the individual games when I wanted to play them at whatever the available price was - the rate at which I get through games is far lower than the rate at which games are available in “good” bundles. In the end I’m not even sure if I’ve saved money (because of how many games have been bought but are as-of-yet unplayed) and it does take more time to evaluate whether something’s a good deal or not.

    The upside is way more potential variety of games to pull from in my library, but if I only play at most like 1-2 dozen new games a year then I’m not sure that counts for much 🫠

  • MHLoppy@fedia.iotoTechnology@lemmy.world•*Permanently Deleted*
    6·
    1 month ago

    So they literally agree not using an LLM would increase your framerate.

    Well, yes, but the point is that at the time that you’re using the tool you don’t need your frame rate maxed out anyway (the alternative would probably be alt-tabbing, where again you wouldn’t need your frame rate maxed out), so that downside seems kind of moot.

    Also what would the machine know that the Internet couldn‘t answer as or more quickly while using fewer resources anyway?

    If you include the user’s time as a resource, it sounds like it could potentially do a pretty good job of explaining, surfacing, and modifying game and system settings, particularly to less technical users.

    For how well it works in practice, we’ll have to test it ourselves / wait for independent reviews.

  • MHLoppy@fedia.iotoTechnology@lemmy.world•*Permanently Deleted*
    5·
    1 month ago

    It sounds like it only needs to consume resources (at least significant resources, I guess) when answering a query, which will already be happening when you’re in a relatively “idle” situation in the game since you’ll have to stop to provide the query anyway. It’s also a Llama-based SLM (S = “small”), not an LLM for whatever that’s worth:

    Under the hood, G-Assist now uses a Llama-based Instruct model with 8 billion parameters, packing language understanding into a tiny fraction of the size of today’s large scale AI models. This allows G-Assist to run locally on GeForce RTX hardware. And with the rapid pace of SLM research, these compact models are becoming more capable and efficient every few months.

    When G-Assist is prompted for help by pressing Alt+G — say, to optimize graphics settings or check GPU temperatures— your GeForce RTX GPU briefly allocates a portion of its horsepower to AI inference. If you’re simultaneously gaming or running another GPU-heavy application, a short dip in render rate or inference completion speed may occur during those few seconds. Once G-Assist finishes its task, the GPU returns to delivering full performance to the game or app. (emphasis added)

  • MHLoppy@fedia.iotoGames@lemmy.world•The struggle is real
    1·
    1 month ago

    Eh, I think that one’s mostly on the community / players giving up games as soon as anything bad happens (making the 30-70 and 40-60 games where you still have decent odds of winning more like 5-95 games which become a self-fulfilling prophecy), plus regular players getting better over time (mistakes and misplays are more likely to be punished and leads are more likely to be capitalized on).

    The give-up culture wasn’t as bad much earlier in the game’s life, at least in my NA-centric exposure to solo queue.

  • MHLoppy@fedia.iotoFediverse@lemmy.world•How do you not feel overwhelmed using Mastodon?
    6·
    1 month ago

    Definitely agree that the the common-with-Mastodon viewpoint of exclusively using chronological feeds seems to have over-corrected too far. Can you imagine if the threadiverse was sorted that way? It would be insane and essentially unusable at scale - so we can at least acknowledge that sorting algorithms have a useful place and are not some unsalvageable, irredeemable evil. I wish there was something like a bunch of open source algorithms which the user could choose between in whatever UI they’re using. At the very least there should be some acknowledgement that I, the user, don’t have an identical level of interest in every account I follow, or even in every topic which the same account posts about.

    And while microblogging platforms seem to have it worst, there have also been times in the threadiverse where I’ve subscribed to a community/magazine only to later unsubscribe because the activity levels it produces in my feed are much higher than my interest levels in it. So even here (where we have sorting by “hot” etc), some kind of user-configurable weighting would be nice to better match how I actually want my feed to work!

    edit: typo