I mean, you don’t have to go full-blown fursuit and conventions if you don’t want to. Most furries never actually bother with fursuiting–speaking from personal experience, it’s hot as shit (especially outdoors or in summer), you can barely see or hear anything, and if you wear glasses they’re prone to getting knocked off your nose or fogging up so badly that you can’t see anything. Many fursonas exist exclusively in artwork or stories–either commissioned or self-drawn–and even that’s optional.

You don’t even have to actively participate in the community if you don’t want to. Many furries are passive members who just follow artists, lurk in streams or group chats, occasionally leave a comment on a submission, and generally exist in furry spaces. Literally the only requirement to be a furry is to say you’re a furry!

Honestly, don’t stress yourself out over it, and keep an open mind. It might not be your cup of tea, and that’s perfectly fine–there undoubtedly is a large sexual aspect to furry, and lots of folks (especially folks who are cisgender, heterosexual, have a less relaxed view about sexuality, etc.–not to say that you can’t be a straight male furry, but there are a LOT of gay/bi furries) may find it to be a dealbreaker. Ultimately, furry has its roots in the nerd and geek communities, back when being nerdy or geeky was something to be bullied over, and it still shows it today.

Furry is a community that has a disproportionate number of LGBT+ folks, neurodivergent folks (especially people on the ADHD/autism spectrum), and other marginalized groups. Among many things, this means it revels in being proudly and unabashedly weird, both as a celebration of itself and as a defense mechanism against becoming overwhelmed by the kinds of business interests that would love nothing more than to push out all the sexuality and weirdness to provide a safe space for advertisers to shovel their slop down our throats.

If that sounds like something you’d enjoy being a part of, then I’d suggest checking out some places like the furry_irl subreddit, looking up streamers under the furry tag on Twitch (Skaifox, WhiskeyDing0, etc.), maybe make an account on FurAffinity, and look up furmeets or conventions in your area you can attend. You might not like it, or you might find yourself joining the best community I’ve ever been part of.

Yeah, definitely. Furry encompasses basically anything that’s a non-human anthropomorphic creature. I’ve seen fursonas based on birds, sharks, dolphins, turtles, rhinos, dinos, frogs, hippos, orcas, dragons, reptiles, plant creatures… hell, there are alien species like sergals and avalis, anthro/machine hybrids like protogens, and even entirely robotic characters.

It’s just called furry because furred species are the most common, and the original community that splintered off from sci-fi conventions in the 70s and 80s and grew through fanzines pre-Internet largely used furred species for their characters. (“Fun” fact, the early community had a lot of skunk characters, which is why one of the first derogatory terms for furries was “skunkfucker.”)

Believe it or not this is exactly how most furries make their fursona

Yeah, suuuuure you weren’t.

Note that the proof also generalizes to any form of creating an AI by training it on a dataset, not just LLMs. But sure, we’ll absolutely develop an entirely new approach to cognitive science in a few years, we’re definitely not boiling the planet and funneling enough money to end world poverty several times over into a scientific dead end!

You literally were LMAO

Other than that, we will keep incrementally improving our technology and it’s only a matter of time untill we get there. May take 5 years, 50 or 500 but it seems pretty inevitable to me.

Literally a direct quote. In what world is this not talking about LLMs?

Did you read the article, or the actual research paper? They present a mathematical proof that any hypothetical method of training an AI that produces an algorithm that performs better than random chance could also be used to solve a known intractible problem, which is impossible with all known current methods. This means that any algorithm we can produce that works by training an AI would run in exponential time or worse.

The paper authors point out that this also has severe implications for current AI, too–since the current AI-by-learning method that underpins all LLMs is fundamentally NP-hard and can’t run in polynomial time, “the sample-and-time requirements grow non-polynomially (e.g. exponentially or worse) in n.” They present a thought experiment of an AI that handles a 15-minute conversation, assuming 60 words are spoken per minute (keep in mind the average is roughly 160). The resources this AI would require to process this would be 60*15 = 900. The authors then conclude:

“Now the AI needs to learn to respond appropriately to conversations of this size (and not just to short prompts). Since resource requirements for AI-by-Learning grow exponentially or worse, let us take a simple exponential function O(2n ) as our proxy of the order of magnitude of resources needed as a function of n. 2^900 ∼ 10^270 is already unimaginably larger than the number of atoms in the universe (∼10^81 ). Imagine us sampling this super-astronomical space of possible situations using so-called ‘Big Data’. Even if we grant that billions of trillions (10 21 ) of relevant data samples could be generated (or scraped) and stored, then this is still but a miniscule proportion of the order of magnitude of samples needed to solve the learning problem for even moderate size n.”

That’s why LLMs are a dead end.

Yeah, do NOT watch end of Evangelion if you’re in a bad mental headspace. The original series ending might be better for you despite the “ran out of money and cobbled together a clip show” values, since it at least has a relatively upbeat tone. EoE starts with “all the main characters are comatose or going through a mental breakdown” and it gets worse from there.

They’re both extremely excellent. The original series is a fair bit darker and more depressing, and End of Evangelion is definitely a lot more WTF than anything that happens in the rebuild movies (which isn’t a bad thing necessarily). The rebuild movies,meanwhile, have much higher production values, and the fights are generally much better–most of the gifs of Ramiel you see are from the rebuild. The characters are also a lot more mentally stable–they’re all still depressed and dealing with heavy shit, but it’s “I’m taking my meds” depression instead of “untreated spiral” depression.

Watch up to the last episode, then watch End of Evangelion for the canon ending. And/or watch the rebuild movies for a condensed retelling that goes in its own direction.

The fuck is wrong with you? Why do you give a shit about what people enjoy? That’s pretty weird, bro

The other flipside is that individual landlords aren’t necessarily going to be any better than larger corporate landlords–for every individual landlord that rents their Nan’s home at cost and keeps rent lower than inflation, there’s probably at least one other landlord that jacks rent up year over year, drags their feet on maintenance, and tries to screw you out of your deposit when you move out. (The ones who do this usually tend to leverage their income into more property and turn into a slum lord, though, so the rule of thumb of ‘don’t make it your only job’ still largely applies.)

The real core of the issue is that we haven’t built any new public housing for well on 2 decades by now, and the market has decided that the only new housing we should build are million dollar McMansions that squeeze into lots that would previously hold a much smaller house with a decent yard.

What should be done is a massive investment in public housing at all levels of government to fill in the missing demand for low-cost housing, but we’ve been so collectively conditioned by four decades of Reagan-era “Government is not the solution, it is the problem” neoliberal thinking that the odds of this ever happening is roughly on par with McConnell agreeing to expand the supreme court and eliminate the electoral college.

I think that’s just called informally splitting a mortgage, homie

God I wish there was room for an actual threat from the left instead of “well I guess we’ll make everyone who isn’t wearing a maga hat worry about whether they’ll be up against a wall by 2028”

The problem is that there’s no incentive for employees to stay beyond a few years. Why spend months or years training someone if they leave after the second year?

But then you have to question why employees aren’t loyal any longer, and that’s because pensions and benefits have eroded, and your pay doesn’t keep up as you stay longer at a company. Why stay at a company for 20, 30, or 40 years when you can come out way ahead financially by hopping jobs every 2-4 years?

Trust me. Forget you heard about that. Trust. Me.

It makes sense to judge how closely LLMs mimic human learning when people are using it as a defense to AI companies scraping copyrighted content, and making the claim that banning AI scraping is as nonsensical as banning human learning.

But when it’s pointed out that LLMs don’t learn very similarly to humans, and require scraping far more material than a human does, suddenly AIs shouldn’t be judged by human standards? I don’t know if it’s intentional on your part, but that’s a pretty classic example of a motte-and-bailey fallacy. You can’t have it both ways.

I upgraded for freaking Hogwarts Legacy…

But hey, it prodded me to pick RDR2 back up and beat it, so it wasn’t a complete waste.

I’d bet the ticket slipped through the cracks–it might have been pulled by an agent near the end of their shift who thought “I’ll respond first thing tomorrow” and was let go the next day, or the ticketing system glitched and improperly took it out of the queue, or a tier 1 agent didn’t follow proper escalation procedures and reassigned it to someone who never bothers to check their ticketing queue.

I’d suggest submitting a fresh ticket along the lines of “Following up re: ticket 29XXXXX” and copy-pasting the original message into the new ticket.

Source: work for a different company’s support team that also uses a public-facing ticketing system

UwU