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  • And why didn’t you include the name of the model in your test?

    I was using standard RGB hex codes, so I didn't really need to specify because its the assumed default. If it was something different, I would need to specify. EDIT: oh I just realized you meant the LLM model, not the color model (RYB vs RGB). It was just from ChatGPT, thought the interface would be recognizable enough.

    Looks like you don’t want me to try it myself. It would be interesting to do so.

    Huh? What do you mean? Go try it!

    Of course with values which don’t fit perfectly into 8 bit. What if I define the range from 0 to 47204 for each color channel instead

    Yeah, so this is already a thing. 24-bit color (8 bits per color channel) already gives you 16,777,216 colors, which is pretty good, but if you want more precision, you can just use decimal (floating point) numbers for each channel, like sRGB(0.25, 0.5, 1.0) (https://en.wikipedia.org/wiki/SRGB) OR even better would be to use oklch (https://en.wikipedia.org/wiki/Oklab_color_space). This is a solved problem. Or you cold just define your range as 0 to 47204.

    So... we've gone from "no LLM will ever be able to understand what complementary colors are" to "b-b-but what about arbitrary color models I make up??" And yeah, it will handle those too, you just have to tell it what it is when you prompt it.

  • Each time I ask any LLM what the complementary color to red is. Then I always get green as answer instead of cyan (With cyan being the only correct answer). And a completely wrong explanation about what complementary colors are based on digital screens.

    🤦 Oh... oh wow, I was giving you way more credit than what you actually meant. You do realize there is more than one color model? https://en.wikipedia.org/wiki/Complementary_colors#In_different_color_models You probably should read the explanation about complementary colors based on digital screens that they are providing to you (or just pay attention in elementary art class), because you might actually learn something new.

    Red Yellow Blue and Cyan Yellow Magenta are both subtractive color models. RGB is an additive color model.

    https://en.wikipedia.org/wiki/RYB_color_model

    Try giving the LLM the hex color code and the color model you're using that code in, and it will give you the correct complementary color.

  • Just like no LLM will ever be able to understand what complementary colors are. Which is one of my favorite tests because it has a 100 % error rate.

    LOL

    The funniest part of this is not the fact that an LLM just got 3 for 3 correct, and therefore has a 100% success rate, thus proving you wrong again, but the fact that your "favorite test" would be one that you incorrectly believe "no LLM will ever be able to" do because....

    Stop trying to make a screwdriver shoot laser beams, it’s not going to happen.

    ^ this you??? "My favorite test is to see if the screwdriver shoots laser beams" 🙃

  • https://en.wikipedia.org/wiki/Universal_approximation_theorem Actual math directly contradicts your beliefs. I know its trendy and you want to feel smarter than people who have spent literally decades researching NNs and staked billions of dollars developing it, but you're wrong.

    Your claim is like claiming that boolean circuits cannot do math because all they do is "true" or "false".

    And also, https://en.wikipedia.org/wiki/Recurrent_neural_network#Neural_Turing_machines recurrent neural networks are Turing complete when paired with memory, and therefore can be used to any calculations or computations that a conventional computer can do.

  • What makes you think that using single letters as tokens instead could teach a stochastic parrot to count or calculate? Both are abilities. You can’t create an ability only from a set of data no matter how much data you have. You can only make a model seem to have that ability.

    Yeah, that's just not how neural networks work...

    No math teacher will let students guess the result of an equation.

    https://en.wikipedia.org/wiki/Regression_analysis

    You tried.

  • Reading comprehension. The only thing it cannot count are specifically letters of tokenized words. If you separate the letters out into separate tokens ("B L U E B E R R Y", etc) it will get it correct 100% of the time.

  • As if a stochastic parrot could ever be able to count or calculate…

    https://www.anthropic.com/research/tracing-thoughts-language-model

    well that's provably false as the neural network can be traced to understand the exact process and calculations that it follows when doing math. See the above research under heading "Mental Math".

    The reason LLMs struggle to count letters is because of tokenization. The text is first converted to tokens, numeric vectors which represents whole words or parts of words, before being given to the LLM, and the LLM has no concept of or access to the underlying letters that make up the words. The LLM outputs only tokens, which are converted back into text.

    EDIT: you can downvote me, but facts are facts lol.

  • I didn't switch to a USB optical/laser mouse until 2014

  • Anna Kendrick as an astronaut scientist in Stowaway

    Charlie Day in Pacific Rim

  • I'm not really sure what you mean. Yoda is responding to Obi-Wan who had just said "That boy is our last hope". Yoda was referring to the fact that there is another Skywalker (Leia). So in this context, Luke would be physical media, Leia would be piracy, and the streaming services would be the Sith/Empire.

  • 🏴‍☠️

  • For example one of those games in that critera you can’t tab out of it or it hard crashes.

    LOL That's literally a classic window bug. Try borderless-windowed. You're welcome!

    Another one of those games was “The Isle” which has a raving disco ball sky during the night time.

    You should probably try this again, I can only assume that it has been a long time since you tried, because the protondb posting for the last 4+ months all say there are zero issues and it works perfectly. No clue why you'd need to use a specific version of proton because the posts include the latest version as well as a variety of others.

    Then theres phas… which while it functions the mic support is iffy cant work in lobby and night vision video is broken

    Lol I literally play this one on linux, and no, it works 100% without any issues or bugs.

  • those talking points still exist. They existed in 2022. They existed in 2012 when I started, and they still exist today August 2025.

    Nope!

    at least 10 games that have required me using a specific proton version

    So in other words, 10 games that worked on Linux...

  • Space is full of particles, and if you want to travel relativistic speeds, they're a problem.

  • Unless you go really fast, then an aerodynamic shape becomes super important again

  • Tl;dr parrotted talking points completely irrelevant since 2022

    Additionally, if the game requires any type of integration into basically anything Microsoft

    If you want to specifically use Microsoft software then you have to use Microsoft software? Wow, gee, what a perceptive point. You got me there lmao

  • Again, further proving my point. Rekordbox was arbitrarily designed to detect if it is being run with WINE to prevent use with linux. There is no technical incompatibility, only a policy choice, and you can get rekordbox to run with linux if you jump through hoops to defeat the WINE detection.