Brian!
Kaitlyn~EthyliaFun fact, "Celeste" is actually the name of the mountain, the girl is called "Celeste's Monster"
| Pronouns | He/She |
| Pronunciation | ΛkΓ¦mΙmil (https://ipa-reader.com/?text=%CB%88k%C3%A6m%C9%99mil&voice=Joanna) |
| Links | https://fursona.directory/@chamomile |
Chamomile π
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Large sheep the size of a small sheep! Late 20's queer sysadmin, release engineer and programmer. Likes tea, DIY, and nerd stuff. Follow requests generally accepted but please have a filled out profile first!
@chirpbirb It's DNS; any success is a victory. You've earned it.
David Chisnall (*Now with 50% more sarcasm!*)The root problem with a lot of Fediverse moderation is a problem that is well known the reputation-system literature:
If the cost of creating a new identity is zero then a reputation system cannot usefully express a lower reputation than that of a new user.
A malicious actor can always create an account on a different instance, or spin up a new instance on a throw-away domain. The cost is negligible. This means that any attempt to find bad users and moderate them is doomed from the start. Unless detecting a bad user is instant, there is always a gap between a new fresh identity existing in the system and it being marked as such.
A system that expects to actually work at scale has to operate in the opposite direction: assume new users are malicious and provide a reputation system for allowing them to build trust. Unfortunately, this is in almost direct opposition to the desire to make the onboarding experience frictionless.
A model where new users are restricted from the things that make harassment easy (sending DMs, posting in other usersβ threads) until they have established a reputation (other people in good standing have boosted their posts or followed them) might work.
η₯η©Ί (Shia) 
chaotic enbyMy #Wikipedia request for comment just closed, finally banning #AI content in articles! "The use of LLMs to generate or rewrite article content is prohibited"
Kudos to all who participated in writing the guideline (especially Kowal2701) and the whole WikiProject AI Cleanup team, this was very much a group effort!
https://en.wikipedia.org/wiki/Wikipedia:Writing_articles_with_large_language_models/RfC
Beet
@nycki Visual fidelity (and scope) is a significant competitive advantage for AAA studios. You need a talented crew with a vision and a fair bit of luck to make a new smash hit with brilliant writing and innovative design, and that's a risk that they don't want to take. In contrast, you can throw boatloads of money (and therefore bodies) at the problem of making a bigger, prettier game with lots of detail and market the game on that.
And I mean, I don't think it should be surprising that players like games that look impressive and promise a lot to do, right? You and I don't prioritize high visual fidelity, but we're a bunch of nerds on federated social media; we're absolutely in a filter bubble here. Even I like games that look good, I just don't view photorealism as the only way to do that. However, lots of gamers have grown up for decades ingesting media that tells them it is, and that tends to stick.
benjojo
@kirakira Yeah this was uhhhh entirely predictable. (Not openAI specifically but some sort of disastrous exit) Meanwhile I've still been using pip because hey, it works.