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Joined 2 years ago
Cake day: June 23rd, 2024

  • Neat! To complete the reclaiming trifecta, you need to steal a Framework laptop and build a Middle East-themed website with Ruby on Rails Ü

    Is neofetch even still a thing? Debian seems to have stopped packaging neofetch between 2023 (bookworm) and 2025 (trixie); I just assumed that the original dev stopped keeping it up to date, similar to youtube-dl. I wasn’t in the mood to dig into it and possibly uncover more FOSS drama …

    I’m on i3-wm btw. Can’t be arsed to change my setup to Wayland.





  • Facial recognition, gait recognition etc. (i.e. a different kind of machine learning) is probably more important for surveillance, but LLMs can play a role, too. Websites, unencrypted messengers, email servers etc. have been collecting craptons of text data, but before LLMs it was fairly difficult to analyse all of it if you don’t have a place to start like “user username with IP address xxx.yyy.zzz.pp called the president a butthole on dd/mm/yyyy”. You could always filter for keywords, but people get creative about it, which is substantially harder when LLMs are used for analyzing. So yeah, “nasty data processing tools”, and that’s actually a big issue because of how nicely it slots into the network of mass data collection that companies have been building for targeted advertising (or so they say, to me it was always clear that a lot of them were already using it for more nefarious purposes).

    And e.g. I assume that you can identify most people just by their writing style across tens of otherwise unrelated accounts.

    Also, it’s not like you can’t use the hardware that’s training or running LLMs for other kinds of machine learning.





  • Depending on the project, development speed is often critical. Lots of data science stuff is really ad hoc and doesn’t get reused much, just some math, biology etc. graduates doing number crunching on specific datasets. Sure the script might take a day to execute, but if it’s only actually getting used a single or double digit number of times, it doesn’t make sense to break out more low level languages.

    With commercial projects, it’s often an issue of whether the higher hardware requirements of a project done in a scripting language are offset by the longer development time and higher wages for sufficiently competent programmers to do it in more low-level languages. This does have environment implications, but commercial projects don’t typically give a damn about socialized costs (despite the lip service that many had adopted for a while).

    AI seems mental, though, unless Python is just some glue for calling functions or libraries that are implemented in lower-level languages, which is definitely also a thing.






  • Is Sony still releasing as physical releases, vs. download codes in a box? Can you resell download codes? And do you actually resell Playstation games, or do you just want to have the option?

    For me, Steam games are so much cheaper than console games that I think that it’s worth it to always pick Steam over console even if Steam turns evil eventually and makes my entire library disappear. I’m also not planning on buying separate gaming hardware, I just add a GPU to my main desktop PC. But who knows, maybe a Steam Machine is actually a better deal the next time I need to upgrade my PC for gaming.

    I should probably pick GOG over Steam more often.






  • To that end, I want to compare my 'mons stats and see what I need to improve. Back in the day my rationale for team composition was “who looks cool?” without much thought to strategy other than the occasional type advantage for gym battles.

    IMO that’s still the best way to pick your team, unless you’re doing PVP. If you’re willing to grind levels to beat the last bosses, at least … I played at least one pokemon game until I had to fight four actually good trainers (varied teams, with the full 6 slots filled) in a row.

    TBH that’s pretty much my main issue with Pokemon, most of the fights are piss-easy because the NPC trainers don’t use even the most basic strategies such as “have a full team” and “don’t do single-type teams”. Then (at least with the older titles), the elite 4 come in and kick your ass all the way to next week. I hate it when games are inconsistent like that …