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Cake day: July 9th, 2023

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  • a quick web search uses much less power/resources compared to AI inference

    Do you have a source for that? Not that I’m doubting you, just curious. I read once that the internet infrastructure required to support a cellphone uses about the same amount of electricity as an average US home.

    Thinking about it, I know that LeGoog has yuge data centers to support its search engine. A simple web search is going to hit their massive distributed DB to return answers in subsecond time. Whereas running an LLM (NOT training one, which is admittedly cuckoo bananas energy intensive) would be executed on a single GPU, albeit a hefty one.

    So on one hand you’ll have a query hitting multiple (comparatively) lightweight machines to lookup results - and all the networking gear between. One the other, a beefy single-GPU machine.

    (All of this is from the perspective of handling a single request, of course. I’m not suggesting that Wikipedia would run this service on only one machine.)



  • Thank you for responding! I really liked this bit

    with a (decently designed) UI, you merely have to remember the path you took to get to wherever you want to go, what buttons to press, what mouse movements to execute.

    I think that’s very insightful. I certainly have developed muscle-memory for many of my most-frequent commands in the CLI or editor of choice.

    I agree about Visual Studio as a preference. I’ve used (or at least tried) dozens of IDE setups down the years from vi/emacs to JetBrains/VS to more esoteric things like Code Bubbles. I’ve found my personal happy place but I’d never tell someone else their way of working was wrong.

    (Except for emacs devs. (Excepting again evil-mode emacs devs - who are merely confused and are approaching the light.)) ;)


  • I hope you take this in good humor and at least consider a TUI for your next project.

    Absolutely. I see what you did there… 😉

    But seriously, thank you for your response!

    I think your comment about GUIs being better at displaying the current state and context was very insightful. Most CLI work I do is generally about composing a pipeline and shoving some sort of data through it. As a class of work, that’s a common task, but certainly not the only thing I do with my PC.

    Multistage operations like, say, Bluetooth pairing I definitely prefer to use the GUI for. I think it is partially because of the state tracking inherent in the process.

    Thanks again!



  • As someone who genuinely loves the command line - I’d like to know more about your perspective. (Genuinely. I solemnly swear not to try to convince you of my perspective.)

    What about GUIs appeals to you over a command line?

    I like the CLI because it feels like a conversation with the computer. I explain what I want, combining commands as necessary, and the machine responds.

    With GUIs I feel like I’m always relearning tools. Even something as straightforward as ‘find and replace’ has different keyboard shortcuts in most of the text-editing apps I use - and regex support is spotty.

    Not to say that I think the terminal is best for all things. I do use an IDE and windowing environments. Just that - when there are CLI tools I tend to prefer them over an equivalent GUI tool.

    Anyway, I’m interested to hear your perspective- what about GUIs works better for you? What about the CLI is failing you?

    Thank you!



  • Self-replying to add a couple other classics that aren’t already in the thread:

    • Penguin Land: A Mr-Driller-like puzzler where you are trying to carefully bring an egg safely to the end of the level - but it can only fall one block distance without breaking. Also, there are polar bears you can crush with boulders.

    • Zillion: This game has no business being as good as it is. Side scrolling adventure game where you are tasked with rescuing your captured spy-buddies. You have to loot secret codes from the bodies of fallen enemies, use them to unlock laser doors and progress further into the enemy base. It uses exceptionally large and detailed sprites for the time and is a surprisingly “mature” game for the Era. (Not meaning nudity, just that it is more interesting to someone auth the patience to map out a base and write down secret codes)

    Skip the sequel, however. Zillion 2 sucked. a lot.



  • GOLVELLIUS

    This game is a blatant… homage to OG Legend of Zelda. But IMHO it does almost everything better.

    The game begins with Link Kelesis entering a cavern where an old woman tells him to take a sword - and some boots because our boy can’t even dress himself.

    After that, you know the drill. Top-down action rpg mode, slaying monsters, leveling up, finding secrets and better equipment.

    Where it improves on the original LoZ is that the Master System was more powerful than the original NES, so the graphics here are brighter and more detailed and the audio is crisper.

    The structure of the world is more linear than LoZ - but that means it’s a lot harder to get lost. Also, as you unlock gear and powers you can backtrack to discover new secrets in old locations.

    The game’s characters vary wildly in tone from angry old ladies berating you for lacking the funds to shop to meandering fairies commenting on snow cones.

    I replay Golvellius every few years on whatever the handheld platform dujour is. …I think it’s about time to give out a spin on the steam deck again.

    Anyway. If you like that classic Zelda vibe, give Golvellius a spin. It’s seriously one of the best games I played on the old Master System.



  • Mechanically - both games are puzzle games in the same rough 3d-platform-puzzler vein as Portal. Instead of solving puzzles with teleportation however, you’ve got laser beams and force fields.

    On a more metaphysical level, the first game is a philosophical investigation of what it means to be human - to be alive and an individual.

    The sequel is a meditation on what makes societies succeed or die.

    Both games are fun, the puzzles are just hard enough to be interesting with a sprinkling of well-hidden secrets. But the real reason to play The Talos Principle is if you’ve got an interest in philosophy - the storylines are deeply interested in asking some very big questions. … and they don’t provide answers either - the game poses questions and allows you to answer as you see fit.


  • If you liked FO3 you’ll like 4.

    It’s a lot stronger mechanically than 3 or NV - shooting is a lot less janky and the gun customization adds some great emergent quests.

    The Boston of FO4 has its moments - a certain duck pond stands out to me in particular - but aside from Nick Valentine the questlines are largely forgettable.

    Still, the core game loop is a lot of fun - go here, blow stuff up, scavenge bits to upgrade your stuff.

    As a longtime Fallout fan (came for the isometric apocalypse, stayed for the 3D googie architecture) I still put 80 hours into FO4.

    It’s a good fuckin’ game. It’s just competing with the legacy of a lot of other great games in the series.






  • So… unlike Stable Diffusion or LLMs, the point of this research isn’t actually to generate a direct analog to the input, in this case video games. It’s testing to see if a generative model can encode the concepts of an interactive environment.

    Games in general have long been used in AI research because they are models of some aspect of reality. In this case, the researchers want to see if a generative AI can learn to predict the environment just by watching things happen. You know, like real brains do.

    E.g. can we train something that learns the rules of reality just by watching video combined with “input signals”. If so, it opens up whole new methods for training robots to interact with the real world.

    That’s why this is newsworthy beyond just “AI Buzz” cycle.