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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/)P
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52
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1 yr. ago

  • I have started, and ended, many bar chats over this. I am a firm believer in the cube rule above all other starch based food classification systems.

  • How do you make it illegible for LLMs?

  • So you prefer ad supported content?

  • 130ms is perceivable but still quite small, and you’d only hit it once per domain (per TTL). If you care enough to intentionally use it then I wouldn’t worry about it. You’ll rarely notice the difference.

    There are a few other services with similar ethos that you may want to check out as alternatives. Quad9 is the one I remember off the top of my head.

  • Because that’s where all contributors are.

    Personally I’ve been moving towards dual hosting everything on GitHub + Codeberg. It’s pretty easy to setup CI to keep them in sync, and I’m open to dealing with the annoyances of managing multiple issue trackers.

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    Jump
  • Some things do charge different amounts though. YouTube Premium for example is more expensive if you subscribe in iOS but maybe that’s just because it’s Google.

    They also could have just not let anyone subscribe through the iOS app. Lots of things do that.

  • Japan already passed a law that explicitly allows training on copyrighted material. And many other countries just wouldn’t care. So if it becomes a real problem the companies will just move.

    I think they need to figure out a middle ground where we can extract value from the for profit AI companies but not actually restrict the competition.

  • I don’t think they’re wrong in saying that if they aren’t allowed to train on copyrighted works then they will fall behind. Maybe I missed it in the article, but Japan for example has that exact law (use of copyright to train generative AI is allowed).

    Personally I think we need to give them somewhat of an out by letting them do it but then taxing the fuck out of the resulting product. “You can use copyrighted works for training but then 50% of your profits are taxed”. Basically a recognition that the sum of all copyrighted works is a societal good and not just an individual copyright holders.

    https://jackson.dev/post/generative-ai-and-copyright/

  • I can’t help, just chiming in to say that I’ve also had that experience with Immich. It’s the one service I’ve used that has somehow managed to break itself multiple times like this.

    No idea how it happens, I don’t do anything weird with the setup and it just breaks. I’d heard that feedback from other people too but didn’t believe it until it happened to me. It’s been a few months so maybe I’ll try again, I’m just not too happy importing hundreds of gigs of photos multiple times.

    So yea just… you’re not alone, good luck.

  • ~15k lines of actual Rust code.

     
        
    @  ❯ git clone https://github.com/torvalds/linux && cd linux && tokei
    Cloning into 'linux'...
    remote: Enumerating objects: 10655741, done.
    remote: Counting objects: 100% (1067/1067), done.
    remote: Compressing objects: 100% (208/208), done.
    remote: Total 10655741 (delta 961), reused 859 (delta 859), pack-reused 10654674 (from 3)
    Receiving objects: 100% (10655741/10655741), 5.13 GiB | 13.37 MiB/s, done.
    Resolving deltas: 100% (8681589/8681589), done.
    Updating files: 100% (87840/87840), done.
    ===============================================================================
     Language            Files        Lines         Code     Comments       Blanks
    ===============================================================================
     Alex                    2          222          180            0           42
     ASN.1                  15          656          441           87          128
     Assembly               10         5226         4764            0          462
     GNU Style Assembly   1336       372898       271937        56600        44361
     Autoconf                5          433          377           26           30
     Automake                3           31           23            3            5
     BASH                   59         2029         1368          352          309
     C                   34961     24854959     18510957      2766479      3577523
     C Header            25450     10090846      7834037      1503620       753189
     C++                     7         2267         1946           81          240
     C++ Header              2          125           59           55           11
     CSS                     3          295          172           69           54
     Device Tree          5582      1744314      1430810        83215       230289
     Gherkin (Cucumber)      1          333          199           97           37
     Happy                  10         6049         5332            0          717
     HEX                     2          173          173            0            0
     INI                     2           13            6            5            2
     JSON                  894       542554       542552            0            2
     LD Script               8          377          289           29           59
     Makefile             3062        81226        55970        12993        12263
     Module-Definition       2          128          113            0           15
     Objective-C             1           89           72            0           17
     Perl                   61        43843        34461         3909         5473
     Python                280        84204        66996         5198        12010
     RPM Specfile            1          131          111            2           18
     ReStructuredText     3672       761388       577410            0       183978
     Ruby                    1           29           25            0            4
     Shell                 957       187353       130476        23721        33156
     SVG                    79        52122        50727         1303           92
     SWIG                    1          252          154           27           71
     TeX                     1          234          155           73            6
     Plain Text           1455       134747            0       110453        24294
     TOML                    3           47           28           12            7
     Unreal Script           5          671          415          158           98
     Apache Velocity         1           15           15            0            0
     Vim script              1           42           33            6            3
     XSL                    10          200          122           52           26
     XML                    24        22177        19862         1349          966
     YAML                 4545       512759       417504        19285        75970
    -------------------------------------------------------------------------------
     HTML                    2           28           22            3            3
     |- JavaScript           1            7            7            0            0
     (Total)                             35           29            3            3
    -------------------------------------------------------------------------------
     Markdown                1          248            0          177           71
     |- BASH                 1            2            2            0            0
     |- C                    1           20           12            6            2
     (Total)                            270           14          183           73
    -------------------------------------------------------------------------------
     Rust                   91        15207        11065         2248         1894
     |- Markdown            85         7773          747         5253         1773
     (Total)                          22980        11812         7501         3667
    ===============================================================================
     Total               82608     39520940     29971358      4591687      4957895
    ===============================================================================
    
      
  • Because most people do not understand what this technology is, and attribute far too much control over the generated text to the creators. If Copilot generates the text “Trans people don’t exist”, and Microsoft doesn’t immediately address it, a huge portion of people will understand that to mean “Microsoft doesn’t think trans people exist”.

    Insert whatever other politically incorrect or harmful statement you prefer.

    Those sorts of problems aren’t easily fixable without manual blocks. You can train the models with a “value” system where they censor themselves but that still will be imperfect and they can still generate politically incorrect text.

    IIRC some providers support 2 separate endpoints where one is raw access to the model without filtering and one is with filtering and censoring. Copilot, as a heavily branded end user product, obviously needs to be filtered.

  • I understand why they need to implement these blocks, but they seem to always be implemented without any way to workaround them. I hit a similar breakage using Cody (another AI assistant) which made a couple of my repositories unusable with it. https://jackson.dev/post/cody-hates-reset/

  • This showed up on HN recently. Several people who wrote web crawlers pointed out that this won’t even come close to working except on terribly written crawlers. Most just limit the number of pages crawled per domain based on popularity of the domain. So they’ll index all of Wikipedia but they definitely won’t crawl all 1 million pages of your unranked website expecting to find quality content.

  • I am up to speed on this little drama, but it’s still unclear to me what they’re suing over.

    Yea, Honey effectively took over affiliate links. And yes, they were obviously shady (I never used it, because I did not know how they made money). But I don’t quite understand how other people trying to make money from affiliate links have a real claim against them.

    Or is this just a case of the influencers realizing they have the moral high ground and the public’s ear, and wanting a pay out?

  • The 3DS has a screen that size?

    Edit: I’m dumb, I made this comment thinking this alarm clock was a watch…somehow. It definitely looks like the sameish size screen

  • On the feature side, according to Mastodons recent 4.3 release post development is only 4 full time employees and a budget of under $500k annually. That is basically nothing in the realm of social media companies.

    Improving Mastodons features requires money and resources, but Mastodons users are unwilling to pay for instances and unwillingly to fund development. Hell, the .world folks host a bunch of instances for collectively hundreds of thousands of users and they take in about $1k a month in donations. I’m surprised that even covers hosting costs.

    So…it’s no wonder that it isn’t going to be as polished as other social media in ways that would reduce the attrition.

  • That’s cool. Personally I just integrated it into my normal chat client by connecting Aichat, which supports a ton of backends including Ollama and hosted options, with Matrix.

    Blog post with more info https://jackson.dev/post/chaz/