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InitialsDiceBearhttps://github.com/dicebear/dicebearhttps://creativecommons.org/publicdomain/zero/1.0/„Initials” (https://github.com/dicebear/dicebear) by „DiceBear”, licensed under „CC0 1.0” (https://creativecommons.org/publicdomain/zero/1.0/)SW
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310
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2 yr. ago

  • I have both. I do not think the OLED version is twice as nice, though it is noticeably improved.

    If the cost is an issue, but doable, consider getting the LCD deck and putting the extra cash toward a TV dock and Bluetooth controller. The deck is awesome on the go (just took mine on vacation - 10/10) but it's also a fantastic console in its own right. I play a lot of PC games on my couch, even though my I have a decent desktop PC available.

    Either one you purchase though, the Steam deck is the best gaming device I've ever owned. Access to the vast Steam library (even if not all titles are compatible yet), access to install whatever else TF I want - even competing stores, emulation nevermind.

    It's just... 🤯

  • Just saying.

    .... Saying what, exactly?

    I said that we should

    • design for change
    • "within reason"
    • because we can't know what exact changes are needed.

    And you argued... The same thing? Just in the reverse order?

  • Have you ever been in an old house? Not old, like, on the Historic Register, well-preserved, rich bastard "old house". Just a house that has been around awhile. A place that has seen a lot of living.

    You'll find light switches that don't connect to anything; artwork hiding holes in the walls; sometimes walls have been added or removed and the floors no longer match.

    Any construction that gets used, must change as needs change. Be it a house or a city or a program, these evolutions of need inevitably introduce complexity and flaws that are large enough to annoy, but small enough to ignore. Over time those issues accumulate until they reach a crisis point. Houses get remodeled or torn down, cities build or remove highways, and programs get refactored or replaced.

    You can and should design for change, within reason, because all successful programs will need to change in ways you cannot predict. But the fact that a system eventually becomes complex and flawed is not due to engineering failures - it is inherent in the nature of changing systems.

  • Oh, for sure. I focused on ML in college. My first job was actually coding self-driving vehicles for open-pit copper mining operations! (I taught gigantic earth tillers to execute 3-point turns.)

    I'm not in that space anymore, but I do get how LLMs work. Philosophically, I'm inclined to believe that the statistical model encoded in an LLM does model a sort of intelligence. Certainly not consciousness - LLMs don't have any mechanism I'd accept as agency or any sort of internal "mind" state. But I also think that the common description of "supercharged autocorrect" is overreductive. Useful as rhetorical counter to the hype cycle, but just as misleading in its own way.

    I've been playing with chatbots of varying complexity since the 1990s. LLMs are frankly a quantum leap forward. Even GPT-2 was pretty much useless compared to modern models.

    All that said... All these models are trained on the best - but mostly worst - data the world has to offer... And if you average a handful of textbooks with an internet-full of self-confident blowhards (like me) - it's not too surprising that today's LLMs are all... kinda mid compared to an actual human.

    But if you compare the performance of an LLM to the state of the art in natural language comprehension and response... It's not even close. Going from a suite of single-focus programs, each using keyword recognition and word stem-based parsing to guess what the user wants (Try asking Alexa to "Play 'Records' by Weezer" sometime - it can't because of the keyword collision), to a single program that can respond intelligibly to pretty much any statement, with a limited - but nonzero - chance of getting things right...

    This tech is raw and not really production ready, but I'm using a few LLMs in different contexts as assistants... And they work great.

    Even though LLMs are not a good replacement for actual human skill - they're fucking awesome. 😅

  • What I think is amazing about LLMs is that they are smart enough to be tricked. You can't talk your way around a password prompt. You either know the password or you don't.

    But LLMs have enough of something intelligence-like that a moderately clever human can talk them into doing pretty much anything.

    That's a wild advancement in artificial intelligence. Something that a human can trick, with nothing more than natural language!

    Now... Whether you ought to hand control of your platform over to a mathematical average of internet dialog... That's another question.

  • Yup. And that's a great example of not relying on Deus Ex Machina - we watch Ender go through all his brutal training, learning to be the best and becomes a truly terrifying weapon of war. By the time Ender is, well, ending things, we've seen his growth and understand why he can do the things he does.

  • In the early days of Superman comics, dude couldn't, e.g. fly. He could just jump really high. He didn't have laser vision. Over time, the writers kept adding new powers until the only story they could tell was about Supes vs his own conscience. Nothing else (okay, besides Mr Mxyzptlk) can actually stand in his way.

    History of Superman power creep

  • All things Deus Ex Machina. I get it, endings are hard. Climaxes are hard to write. But the payoff feels cheap as hell when your protagonist just "digs a little deeper" and suddenly finds just enough power to save the day. When it comes out of nowhere, it feels unearned by the hero and is not only unsatisfying, it's also a good way to give you hero power creep until there's nothing on earth that can believably challenge them. See: Superman.

  • 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.)

  • This looks less like the LLM is making a claim so much as using an LLM to generate a search query and then read through the results in order to find anything that might relate to the section being searched.

    It leans into the things LLMs are pretty good at (summarizing natural language; constructing queries according to a given pattern; checking through text for content that matches semantically instead of literally) and links directly to a source instead of leaning on the thing that LLMs only pretend to be good at (synthesizing answers).

  • As far as we're concerned, yes. It literally would travel at the speed of light. But since the light from the momentarily-ago-normal universe would be traveling just ahead of it... Everything would look normal until it collapsed

  • That's a question no one has yet been able to answer definitively though both neuroscientists and philosophers are trying.

    I'm of the opinion that "I" am a pattern, encoded in the physical interactions of my brain and body. I'm not certain if I have free will or just like to think I do. But I do believe that whatever makes me "me" is fully contained within the dimensions of my physical being.

  • You cannot step into the same river twice - Heraclitus, ~550 BC

    We are all a series of continuous evolution, alteration and change. "I" am not the same person who began this sentence. The idea that "I" cease to exist overnight and begin anew in the morning is meaningless. There is no one version of me. I live - and to live is to change!

  • 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.)) ;)

  • 3DPrinting @lemmy.world

    Don't forget to change your z offset after swapping nozzles

    Linux @lemmy.ml

    What's the best way to restore your desktop environment after install?