• 0 posts
  • 18 comments
Joined 2 years ago
Cake day: October 13th, 2024
  • I guarantee you can fight more people around one of those pee-troughs at a baseball stadium than you can fit individual toilets separated by walls and doors.

    odd i didnt know female (the majority of the population) bathrooms had pee troughs… fun fact: if you switched to unisex you’d actually have less lines due to queuing theory removing the gendered spikes at any given point due to larger total availability per gender. right now you have 1/2 of the total availability for women and 1/4 the total availability for men vs a non-gendered setup.

  • i have a couple tools ive been working on…

    retrovibed - a jellyfin/plex alternative that fully virtualizes its p2p torrent network in userspace read: it protects your activities without messing with your system, and setup is drag & drop wireguard config to enable and its search plugin system replicates the *arr stack (mostly) but is actually secure enough to run untrusted plugins. no system / local network access for plugins.

    egdaemon a local first compute platform with GPU capabilities. I use to it replace ci/cd and ML training platforms and to almost fully virtualize my development environments.

    both are highly focused on user experience (though both still have some rough edges)

  • “Modest increase” lmao. Literally like ~10% year over year for 20 years.

    its literally tracking inflation when i looked at the costs.

    The graph is very much exponential.

    it very much isnt. the only line items that were exponential were the professional services and grants. the rest tracked inflation or were linear. and inflation is not in their control. its why the graph looks exponential but thats not a factor wikipedia controls.

    they would have annual expenses of less than 5 million dollars.

    literally impossible to have that situation in an economic system where inflation exists and salaries are your dominating expense.

    You need to normalize for inflation to see the increase accurately.

    If their expenses were growing exponentially we wouldnt see the net assets line growing faster.

    edit: just for the record, I’m just eyeballing their numbers. the signal that makes WMF’s finances concerning is them fighting unionization. not the relative YOY changes, those mostly look reasonable.

    what fighting the union means: they’re underpaying their staff and most compensation is going to admin. thats the problem, and it wont be resolved unless the workers force organizational changes.

  • Why are they not trying to stabilize their expenses as a donation dependent foundation?

    They do? financials are publicly reported. there is a modest increase each year in salaries and infrastructure costs. which can be explained via inflation adjustments. (not saying it is if workers are unionizing) but from the financials only concerning bit are the grants/professional services line items which are entirely discretionary and/or legal.

    so why are they spending exponentiall increasing amounts of money on other stuff.

    they arent. do you know what ‘exponential’ means?

    Shouldnt they try to build up 10+ years of reserves to ensure wikipedia survives when the money dries up?

    Thats literally what they’re doing. see graphs net assets.

    Because if people stopped donating right now, they would run out of money next year.

    so stop. seems like the issue will resolve itself. but the only concerning bit here is admin’s fighting union. not their financials

  • very rose colored glasses. the extra work to identify such sites is trivial less than even the hashing approach anubis uses.

    risks are minimal for data pipelining on the training side. you can bootstrap a classifier that errors towards reject to sweep 99% of the weirdness this thing is doing in a few days. we already have clean datasets we can use to baseline such systems.

    on top of that its fairly easy to detect if a run is failing due to collapse. the capital costs are small.