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    1. Tildes should support Latex

      Tildes should support Latex using MathJax, or something similar. Having a standard implementation would also act as an easy way to use advanced formatting, while extensions beyond the sub and sup...

      Tildes should support Latex using MathJax, or something similar. Having a standard implementation would also act as an easy way to use advanced formatting, while extensions beyond the sub and sup tags are being made. It would greatly increase the ease of using ~math (actually ~science). Though I could be wrong, it doesn't look like $$\LaTeX$$, $$x^2$$ $\int_{x=0}^p e^{-x^2}dx$ is rendering.

      Edit: Katex (not my MathJax recommendation) was a good suggestion, using a partial font download and server side html/css generation.

      Edit: Also, to be clear, this is not a must-have-now feature (though that would be nice), but I would like to see support for this in the future, as latex is almost universal in the mathematical sciences.

      20 votes
    2. Is there a known image norm suitable for textured images?

      Suppose I am trying to iteratively produce a completed image from some subset using a combination of convolutional/DNN methods. What Image norm is best? The natural (for me) norm to ascribe to an...

      Suppose I am trying to iteratively produce a completed image from some subset using a combination of convolutional/DNN methods. What Image norm is best?

      The natural (for me) norm to ascribe to an image is to take the bitmap as a vector with L2. If the input image is anime or something else, the uniform coloring makes this very likely to be a good fit in a low dimension - that is: no overfitting.

      However: pictures of fur. Given a small square, the AI, set to extrapolate more fur from that single image, should be expected to get that stuff right next to the given subimage right, but further away, i want it to get the texture right, not the exact representation. So, if the AI shifts the fur far away from the image left by just the right amount, it could get an incredibly poor score.

      If I were to use the naive L2 norm directly, I would be guaranteed to overfit, and you can see this with some of the demo algorithms for image generation around the web. Now, the answer to this is probably to use a fourier or a wavelet transform and then take the LN norm over the transformed space instead (correct me if I'm wrong.)

      However, we get to the most complex class: images with different textures in them. In this case, I have a problem. Wavelet-type transforms don't behave well with discrete boundaries, while pixel-by-pixel methods don't do well with the textured parts of images. Is there a good method of determining image similarity for these cases?

      More philosophically, what is the mathematical notion of similarity that our eye picks out? Any pointers or suggestions are appreciated. This is the last of two issues I have with a design I built for a Sparse NN.

      Edit: For those interested, here is an example, notice how the predictions tend to blur details

      7 votes
    3. Are there any sailors on here?

      So if there are any sailors or prespective sailors on here some questions. What region do you sail in? Captain or crew (I guess also own or crew)? What kind of boat? What level do you sail at?...

      So if there are any sailors or prespective sailors on here some questions. What region do you sail in? Captain or crew (I guess also own or crew)? What kind of boat? What level do you sail at?

      This is a lot of questions I know, but I've gotten into sailing more and more over the last few years and I've found it's one of the main things that's kept me sane throughout the pandemic.

      13 votes
    4. Thoughts on feeling like you're posting too many links when there is not enough content

      It seems like there are not that many new topics posted on Tildes, and that we could post a lot more. But I sometimes find myself reluctant to do so. Don't I post too much already? Recently there...

      It seems like there are not that many new topics posted on Tildes, and that we could post a lot more. But I sometimes find myself reluctant to do so. Don't I post too much already?

      Recently there was a survey and apparently many people think Tildes is too tech-oriented. I don't think it's all that tech oriented, not like Hacker News or lobste.rs, but that makes me a little more reluctant to post tech links. (Though, really, other people should post more of the kind of links they want to see.)

      I suspect it's not just me. Periodic topics sometimes get a lot of comments. Periodic topics have been started specifically to avoid having too many top-level topics on one subject.

      But, why are we avoiding this? What's wrong with posting more links? If this were a social bookmarking site, I'd be saving more links. Maybe I'd save a bunch of accordion links, without any regard for whether people are interested?

      It seems like we need something like folders. When new links are posted in a folder, they don't get listed individually at top-level. You could drop a bunch of links in a folder if you felt like it, without feeling like you're monopolizing conversation, because people would have to open the folder to see what's there. Or maybe instead of folders it would be something like creating a playlist. You could start a topic that's basically a list of links, and then anyone can add links to it if they want.

      It seems like groups don't really do this, somehow? They feel a bit too open and exposed. Everything shows up on the front page regardless of group. (I mean, you can filter or unsubscribe from groups, but many of us don't. Partly because they're too broad. Who's going to unsubscribe from music just because they aren't interested in some music?)

      So instead we use topics and post links as comments. It sort of works, but it's given me a lot of practice at writing markdown-formatted links on a mobile keyboard, and they appear differently in search and aren't tagged.

      It seems like links posted within a topic and posted top-level should be more similar in the UI. Maybe if there's some conversation about a link within a topic, a moderator could promote it to top-level? Maybe a lot of topics would start that way, and then the site would feel a bit more full.

      25 votes
    5. What have you been listening to this week?

      What have you been listening to this week? You don't need to do a 6000 word review if you don't want to, but please write something! If you've just picked up some music, please update on that as...

      What have you been listening to this week? You don't need to do a 6000 word review if you don't want to, but please write something! If you've just picked up some music, please update on that as well, we'd love to see your hauls :)

      Feel free to give recs or discuss anything about each others' listening habits.

      You can make a chart if you use last.fm:

      http://www.tapmusic.net/lastfm/

      Remember that linking directly to your image will update with your future listening, make sure to reupload to somewhere like imgur if you'd like it to remain what you have at the time of posting.

      6 votes
    6. What did you do this week?

      As part of a weekly series, these topics are a place for users to casually discuss the things they did — or didn't do — during their week. Did you accomplish any goals? Suffer a failure? Do...

      As part of a weekly series, these topics are a place for users to casually discuss the things they did — or didn't do — during their week. Did you accomplish any goals? Suffer a failure? Do nothing at all? Tell us about it!

      6 votes
    7. Alpha Wolf - A Quiet Place to Die (2020)

      Apple Music Spotify YouTube Melbourne metalcore outfit Alpha Wolf dropped their second LP today, their first with vocalist Lochie Keogh. A thorough evolution of their sound, A Quiet Place to Die...

      Apple Music
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      YouTube

      Melbourne metalcore outfit Alpha Wolf dropped their second LP today, their first with vocalist Lochie Keogh. A thorough evolution of their sound, A Quiet Place to Die picks up where their previous release, the EP Fault, left off and goes bigger, harder and more bone shattering. With this release, Alpha Wolf arguably moves to the forefront of the nu-metalcore movement, combining elements of hardcore with nu-metal. The result is very down-tuned guitars chugging like crazy that occasionally make way for crushing breakdowns and on the fly harmonics. Keogh's vocals are raw and unflinching, as he barks out some dark themes and has come great pit calls. While there is mostly just non-stop chunky riffs, the band shows they can write ballads, in their own way, with tracks Bleed 4 You and Don't Ask.

      For fans of Architects, Fit For a King, Stray From the Path and anyone that thought even the heaviest nu-metal bands weren't heavy enough.

      6 votes