cm0002, cm0002@literature.cafe
Instance: literature.cafe
Joined: 5 months ago
Posts: 310
Comments: 19
Posts and Comments by cm0002, cm0002@literature.cafe
Comments by cm0002, cm0002@literature.cafe
I mean. It’s not the worst idea lmfao
Closed source < AI gen’d Open Source < Open Source
It’s true! Now it was “just” an 8-slotter Asus G3 and not one of those 24+ slotter monsters, but still!
Japanese companies have a habit of getting bored and just delving into random ass industries LMAO
I find actual classic country to just be boring, but not boring with a beat enough for work music like Classical music.
The modern country stuff I loathe for just like you said, being Republicunt siren songs lol
Sadness :(

Because things, unfortunately, cost money to run. Digital crowdsourcing isn’t magic, it requires adequate infrastructure to run and facilitate said crowdsourcing data.
Static maps are easy, load em up on a server and people just download one way. Sure it might get a little slow when busy but eh.
Live things however require constant near-real-time communication to be useful. And that requires servers and bandwidth and other infrastructure.
And that’s not even going into how the premium fee goes back into further development and refinement of other features and maintenance.
And before you say “Well, federation!” I say well look at the Threadiverse, each is comprised of individual instances that’s true. But each instance, has a bill they have to pay to keep running.
Tbf, that’s dirt cheap and getting used to “free” products like Google Maps with live traffic is kinda how we got in this mess on the first place LMAO
I don’t think having a paywall in of itself is bad, so long as it’s a good affordable and reasonable price and isnt going to some giant corpo
Claims to promote smaller instances, only posts to the same communities on the largest servers…
Yes the large instance of poweruser.forum !jellyfin@poweruser.forum or !cybersecurity@infosec.pub or !science@mander.xyz or !biology@mander.xyz oh yea definitely the massive instance of discuss.online !retro_gaming@discuss.online or !retrocomputing@lemmy.sdf.org or !hoch@lemmy.sdf.org or the juggernaut of instances civilloquy.com !nottheonion@civilloquy.com or even *gasp” lemmy.cafe !gunnerkrigg@lemmy.cafe or even !corvids@sopuli.xyz or !mediapreservation@pawb.social or !TheShitpostOffice@lemmy.dbzer0.com or !electronics@discuss.tchncs.de or !music@lemmy.sdf.org
My reasoning is as follows: Promoting smaller instances, because of the volume of posting it makes smaller instances more recognizable, making comms on fitting smaller instances, protecting against the imposter problem and better interconnecting smaller instances
Besides, if I really wanted to do block evasion, it would be far more efficient to use random names. Each account would last far longer before becoming “recognized”
Also, unlike corpo social media, likes and upvotes are worthless here.
It’s funny how you deleted that comment that was telling returntoozma he also posts “junk” just before this one lmao
I usually go some hours between posts of similar articles, to try to break them up. They might stack if you’re viewing a comm directly if it isn’t that busy of one, but they shouldn’t on your main feeds
You seem to think every article and comment is junk, my serial downvoting friend :)
It looks like the same drive, but more unhinged
Maybe the next Phoronix article is going to be even eviler 😅
It’s more of associating your basic pleasure emotions like happiness that’s the problem “I’ll be happy when X” rather than something more healthy like “I want to do X because I want to better myself/It will solve Y problem/it’s a personal achievement of mine”
😏
This is the only voice I hear “What’s up with that?” In 😂



c/Aii

Israel used white phosphorus to scorch earth in south Lebanon, researcher says (theguardian.com)
March 25, 2026
Isn't there somebody you forgot
a tragic condition
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VitruvianOS - Desktop Linux Inspired by the BeOS (v-os.dev)
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TurboQuant looks like a pretty massive deal for running local models efficiently. The core issue they are tackling is the memory bottleneck caused by the key value cache during generation. When you are doing long context inference storing all those high dimensional vectors eats up VRAM extremely fast. Traditional vector quantization helps but usually introduces memory overhead because you have to store scaling factors or constants in full precision for every small block of data. That overhead can easily add an extra bit or two per parameter which ruins the compression targets people are aiming for.
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Here you dropped your arm: \
Jury finds Meta and YouTube negligent in landmark lawsuit on social media safety (nbcnews.com)
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Wine 11 rewrites how Linux runs Windows games at the kernel level, and the speed gains are massive (xda-developers.com)
TurboQuant: Redefining AI efficiency with extreme compression (research.google)
Vectors are the fundamental way AI models understand and process information. Small vectors describe simple attributes, such as a point in a graph, while “high-dimensional” vectors capture complex information such as the features of an image, the meaning of a word, or the properties of a dataset. High-dimensional vectors are incredibly powerful, but they also consume vast amounts of memory, leading to bottlenecks in the key-value cache, a high-speed “digital cheat sheet” that stores frequently used information under simple labels so a computer can retrieve it instantly without having to search through a slow, massive database.
[Phoronix] KDE Plasma 6.6 Delivers An Impressive Edge For Radeon Graphics Over GNOME 50 On Ubuntu 26.04 (phoronix.com)
Spez (Reddit CEO) just put out an announcement talking about how they'll verify bots vs humans. Get ready for a wave of new users into the Fediverse pretty soon! (reddit.com)
The gold standard of optimization: A look under the hood of RollerCoaster Tycoon (larstofus.com)
Devils Panties 3/25/2026