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Joined 1 year ago
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Cake day: June 13th, 2023

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  • All those folks in the 50+ age group that grew up with “Russia is enemy #1” are probably cycling through waves of intense work and prolonged orgasm.

    I wouldn’t be surprised if one of the first things considered in strategizing any armed conflict is whether they want Russia and China to know that we have X or are capable of Y. Russia has shown their hand. If they could do more, they would have by now.

    It has also taught NATO that Russia is still in the barbaric tactics mindset. Hospitals, schools, churches, shipping centers - they’re all valid targets. If Russia wants a position, they’ll level the entire town. That certainly changes the plans, of anyone thought they would abode by the Geneva Conventions.


  • Eh, this seems a little half-assed, IMO. There’s no adjustment for error magnitude in relation to the rest of the video content. If they fuck up a basic stat on an informational video, it can easily have a more significant effect of viewers than a major error on a niche topic in a long, multi-topic video.

    This works into the whole prioritization portion of the post. Many of the things they classify as “low severity” and only warranting a pinned comment could lead to completely different behavior. Example:

    1. Very Low Severity
    • The statement could possibly be misunderstood, but it’s generally true and most people would be fine with how it’s currently presented.
    • eg. The host says, “One of DisplayPort’s main advantages over HDMI is its higher bandwidth,” but this is only true when comparing certain generations of the standards. HDMI 2.1, for example, has much higher bandwidth than DP 1.1.

    If the whole video is on the differences between HDMI and DP, this statement is completely opposite of the truth on a basic, primary statistic. The connector’s ONLY purpose is to transfer data, which is rate and bandwidth. The erroneous statement is an absolute - something IS something. All LTT needs to do is add, “some versions” or “generally”. THEN it becomes a softer interpretation error.

    • DP’s bandwidth is GENERALLY higher than HDMI’s? Let me look up when this statement doesn’t hold true…
    • DP bandwidth IS HIGHER than HDMI? Guess I don’t need to look up that info because they’re presenting it as a universal truth.

    Purchasing decision time… That GPU has 3x HDMI and 1x DP ports? Well, I’m not sure about these other stats, but I know that HDMI sucks compared to DP, so I can eliminate all the GPUs with more HDMI ports than DP ports. I guess I’m getting this 5 year old GPU with 1xHDMI and 3x DP ports instead.

    If that mistake was in a 30 minute news video covering 8 stories and the statement was an aside, okay, maybe a pinned comment.

    In reality, all these errors should be easy to correct, but that’s hampered by YouTube’s tools. LTT should be able to replace a small segment of video with a cut away to stock or b-roll and a voiceover with the correct information. But, you can’t do that on YT.

    Another alternative, if the information is insignificant enough for only a pinned comment, is to simply mute that 2-3 seconds of video. If the misstatement was significant enough that muting it makes the rest of the video tough to follow, then the mistake wasn’t small enough for a pin.









  • Generally, if someone’s being a total asshole so severely that they have to be yeeted with several thousand other unaware bystanders, I expect to see a bunch of examples within the first… 2, maybe 3, links.

    If someone can point me to a concise list of examples (actual data), I find it more disturbing that an admin on another server can yeet my account because they make noise on a discord server.I mean, yes, federating is a feature, but why even offer the ability to enroll users? Maybe for a group of friends, or something, but just rando users is nothing but a liability to everyone involved.




  • I almost thought I had written your comment and completely forgot about it. No, I just almost made the exact comment and want that hour of my life back.

    If there was some over the top racist rant, I sure didn’t see it. And the admin pushing for the defederation sounds so bizarre. Bizarre is the best word I could come up with because “petty” makes me think it was like high school politics. This is closer to a grade school sandbox argument.

    The worst I saw was “defedfags” and it was used in a way that was meant to highlight how they never said anything offensive. Like saying, “If you thought what I said before was offensive, let’s see how you respond to something intended to be negative.”

    The crazy thing is that the decision is being made because the admin just liked a post. It’s not even because of the post content - which has nothing controversial and appeared maybe 8 times in my Lemmy/kbin feed yesterday.

    Editing to add that this is the article: https://kbin.social/search?q=wakeup+call




  • At first glance, I probably thought JXL was another attempt at JPEG2000 by a few bitter devs, so I had ignored it.

    Yeah, my examples/description was more intended to be conceptual for folks that may not have dealt with the nitty gritty. Just mental exercises. I’ve only done a small bit of image analysis, so I have a general understanding of what’s possible, but I’m sure there are folks here (like you) that can waaay outclass me on details.

    These intermediate-to-deep dives are very interesting. Not usually my cup of tea, but this does seem big. Thanks for the info.


  • (fair warning - I go a little overboard on the examples. Sorry for the length.)

    No idea on the details, but apparently it’s more efficient for multithreaded reading/writing.

    I guess that you could have a few threads reading the file data at once into memory. While one CPU core reads the first 50% of the file, and second can be reading in the second 50% (though I’m sure it’s not actually like that, but as a general example). Image compression usually works some form of averaging over an area, so figuring out ways to chop the area up, such that those patches can load cleanly without data from the adjoining patches is probably tricky.

    I found this semi-visual explanation with a quick google. The image in 3.4 is kinda what I’m talking about. In the end you need equally sized pixels, but during compression, you’re kinda stretching out the values and/or mapping of values to pixels.

    Not an actual example, but highlights some of the problems when trying to do simultaneous operations…

    Instead of pixels 1, 2, 3, 4 being colors 1.1, 1.2, 1.3, 1.4, you apply a function that assigns the colors 1.1, 1.25, 1.25, 1.4. You now only need to store the values 1.1, 1.25, 1.4 (along with location). A 25% reduction in color data. If you wanted to cut that sequence in half for 2 CPUs with separate memory blocks to read at once, you lose some of that optimization. Now CPU1 and CPU2 need color 1.25, so it’s duplicated. Not a big deal in this example, but these bundles of values can span many pixels and intersect with other bundles (like color channels - blue can be most efficiently read in 3 pixels wide chunks, green 2 pixel wide chunks, and red 10 pixel wide chunks). Now where do you chop those pixels up for the two CPUs? Well, we can use our “average 2 middle values in 4 pixel blocks” approach, but we’re leaving a lot of performance on the table with empty or useless values. So, we can treat each of those basic color values as independent layers.

    But, now that we don’t care how they line up, how do we display a partially downloaded image? The easiest way is to not show anything until the full image is loaded. Nothing nothing nothing Tada!

    Or we can say we’ll wait at the end of every horizontal line for the values to fill in, display that line, then start processing the next. This is the old waiting for the picture to slowly load in 1 line at a time cliche. Makes sense from a human interpretation perspective.

    But, what if we take 2D chunks and progressively fill in sub-chunks? If every pixel is a different color, it doesn’t help, but what about a landscape photo?

    First values in the file: Top half is blue, bottom green. 2 operations and you can display that. The next values divide the halves in half each. If it’s a perfect blue sky (ignoring the horizon line), you’re done and the user can see the result immediately. The bottom half will have its values refined as more data is read, and after a few cycles the user will be able to see that there’s a (currently pixelated) stream right up the middle and some brownish plant on the right, etc. That’s the image loading in blurry and appearing to focus in cliche.

    All that is to say, if we can do that 2D chunk method for an 8k image, maybe we don’t need to wait until the 8k resolution is loaded if we need smaller images for a set. Maybe we can stop reading the file once we have a 1024x1024 pixel grid. We can have 1 high res image of a stoplight, but treat is as any resolution less than the native high res, thanks to the progressive loading.

    So, like I said, this is a general example of the types of conditions and compromises. In reality, almost no one deals with the files on this level. A few smart folks write libraries to handle the basic functions and everyone else just calls those libraries in their paint, or whatever, program.

    Oh, that was long. Um, sorry? haha. Hope that made sense!



  • Oh, I’ve just been toying around with Stable Diffusion and some general ML tidbits. I was just thinking from a practical point of view. From what I read, it sounds like the files are smaller at the same quality, require the same or less processor load (maybe), are tuned for parallel I/O, can be encoded and decoded faster (and there being less difference in performance between the two), and supports progressive loading. I’m kinda waiting for the catch, but haven’t seen any major downsides, besides less optimal performance for very low resolution images.

    I don’t know how they ingest the image data, but I would assume they’d be constantly building sets, rather than keeping lots of subsets, if just for the space savings of de-duplication.

    (I kinda ramble below, but you’ll get the idea.)

    Mixing and matching the speed/efficiency and storage improvement could mean a whole bunch of improvements. I/O is always an annoyance in any large set analysis. With JPEG XL, there’s less storage needed (duh), more images in RAM at once, faster transfer to and from disc, fewer cycles wasted on waiting for I/O in general, the ability to store more intermediate datasets and more descriptive models, easier to archive the raw photo sets (which might be a big deal with all the legal issues popping up), etc. You want to cram a lot of data into memory, since the GPU will be performing lots of operations in parallel. Accessing the I/O bus must be one of the larger time sinks and CPU load becomes a concern just for moving data around.

    I also wonder if the support for progressive loading might be useful for more efficient, low resolution variants of high resolution models. Just store one set of high res images and load them in progressive steps to make smaller data sets. Like, say you have a bunch of 8k images, but you only want to make a website banner based on the model from those 8k res images. I wonder if it’s possible to use the the progressive loading support to halt reading in the images at 1k. Lower resolution = less model data = smaller datasets to store or transfer. Basically skipping the downsampling.

    Any time I see a big feature jump, like better file size, I assume the trade off in another feature negates at least half the benefit. It’s pretty rare, from what I’ve seen, to have improvements on all fronts.