Naoto Is Trans Kanji Is Gay

AKA My Blog. About me: I'm 33 years old. I'm autistic. He/they.

[altocat]

Little details like these are why I love the Remake Trilogy. Say what you want. Blah blah plot ghosts. Blah blah "they changed things". That's all fair. But you can't look at it and tell me that it's not a giant love letter to the original. You can feel it. The devs are so passionate and creative about what they do and them adding these cute little references is just so incredibly wholesome.

[phantomyre]

VINCENT GAMEPLAY ON PART 3 FINAL FANTASY 7: REVELATIONS

[joycomplexx]

by the way it's fine to like sexual content just for the sake of it. "we can't ban porn because other stuff will get banned" "sometimes nude art has value" "the government will classify queer people as sexual" this is all true but it's okay to just like porn. its okay to not want porn to be banned because you like it.

[sonichedgeblog]

The second issue of ‘DC x Sonic: Metal Legion’ is now available at your local comic store!

[manuciruja]

awww the like button turns into a rainbow when you press it! that's so cute...hey staff what's with all the trans women you keep nuking?

[manuciruja]

i think we should be ridiculing them more for this. you don't get to try and go all "queer website" when your staff likes to go on nuking sprees targeting the trans fem users

[smadsel]

would be remiss not to mention that the rainbow notably straight up just removed the trans flag colors from it. like they’re gone. it’s the progress flag minus the trans flag colors.

[smadsel]

that’s not the whole flag, now is it

[manuciruja]

hey staff what the fuck

[villainessbian]

hey staff don't you think you're being too on-the-nose

[shrodingers-catgirl]

HEY STAFF DONT YOU THINK YOU'RE BEING TOO ON-THE-NOSE

[alpharius-official-unofficial]

@staff ???

[realian]

love wins.

[realian]

🏳️‍🌈 happy Pride.

[gummi-ships]

Kingdom Hearts 3 LGBTQ Pride Textures for Storm Flag mod (x)

[mahikoto]

light is made up of lots of colors

[mahikoto]

it's June

[mahikoto]

IT'S JUNE

[sonichedgeblog]

The ‘Sonic OVA’, aka 'Sonic The Movie’, was released for purchase 30 years ago today in Japan. Support us on Patreon

[cz3chova]

@charlesoberonn made a really, really good post that I stole to make... this

[charlesoberonn]

You get my vision completely

[captain-price-returns]

[transmechanicus]

Revealing the ignorance of my youth here, but who is this and what is she known for?

[boybeetles]

Anita Sarkeesian, feminist who interpreted media under a feminist lens. She did a series about video games and she was the subject of targeted harassment. That was the start of gamergate

[flurrin]

Minor correction, the start of gamergate was based around a different reporter, Zoe Quinn, but they were both absolutely violently threatened over their involvement in video game criticism and development. A hate campaign was started by Quinn's ex-boyfriend when he wrote a post falsely accusing them of dating video game journalists in order to receive positive reviews on their own game, Depression Quest, which led other bad actors to accuse all women in the industry (Zoe identified as female at the time) of perceived sexual immorality. Anita Sarkeesian's brilliant Youtube series Tropes vs Women in Video Games (which everyone should watch, right now) sparked a particular nerve for criticizing popular games of killing and/or victimizing any important female character (there is a CHILLING bit that borders on ludicrous where she describes the plots of a seemingly endless parades of games as "In [title], [male player character's] wife dies, and you then have to rescue [his] daughter."). That series did actually make a huge change in the industry, especially when touted by progressive legacy developers like Tim Schafer (Monkey Island, Psychonauts), who went on to expand hiring in his company to front women and minority voices, but the shift didn't really show for a long time and echoes of the sexism that plagues the industry at its core are still rampant.

[boybeetles]

Thanks for the correction! I was like 8-10 years old when this all went down (2014-2016) so I only know vaguely about it. I’m still learning about this.

[loregoddess]

Zoe Quinn also has a book called Crash Overdrive, which I feel should be required reading for literally anyone using the internet in any capacity, especially as more and more things get moved to online spaces, and especially for people who use the internet for their livelihoods. It's a fairly short read (I read the entire book in a single day, although I will note this was during and for grad school, so actual reading time may vary for normal, non-grad-student readers), and can be a bit depressing--Quinn details the years of harassment they received due to gamergate, it's not a pleasant read, but I do think it's an absolutely necessary book to understand what happened and why and how, and Quinn has a surprisingly resilient sense of resolve come the end of the book, which details all the safety measures someone can and should take with their online activity.

If you can't get out to your local library to borrow the book, you can also find it here on the Internet Archive (though it looks like the lending is limited? it doesn't appear to be an open text at least, so a library might be your best bet if you can't purchase the book). Of all the books I was required to buy and read for college classes, this is probably the most important and impactful, and it's the only one I'd strongly encourage everyone to read for themselves.

[realian]

it's Crash Override not Crash Overdrive.

[justalurkr]

Text of tweet under the cut because it is loooong.

But... Stochastic Parrots.

Timnit Gebru was fired from Google in December 2020 for refusing to retract a research paper, and every single warning that paper made about large language models has now happened at a scale the industry spent 4 years trying to make people forget about.

Her name is Timnit Gebru.

She co-led the Ethical AI team at Google. She co-wrote a paper called "On the Dangers of Stochastic Parrots" with Emily Bender at the University of Washington and two other researchers. The paper was 14 pages long. It was submitted to a top AI ethics conference. And it was the reason Google decided that one of the most senior Black women in AI research could no longer work there.

The story Google told publicly was that she resigned. The story she told, confirmed by 2,695 of her colleagues in an open letter, was that she was fired by email while on vacation because she refused to either retract the paper or remove her name from it.

The paper had not even been published yet.

Here is what she actually wrote, and why every prediction inside it has now come true.

The first warning was about scale itself. Bender and Gebru argued that training ever-larger models on ever-larger scrapes of the internet would produce systems that appeared fluent but had no actual understanding of language. They called these systems stochastic parrots because they would repeat patterns from training data with statistical confidence and zero comprehension. The paper predicted that this apparent intelligence would fool both users and developers into trusting outputs that were structurally incapable of being reliable.

This was 2020. GPT-3 had just come out. The paper predicted the hallucination problem before anyone had a word for it.

The second warning was about bias amplification. The paper documented in detail that internet-scale training data contains systematic overrepresentation of dominant viewpoints and underrepresentation of marginalized ones. The models would not just absorb this bias. They would amplify it, because the optimization process rewards confident outputs, and confidence in language patterns tracks frequency in the training set.

The prediction was that hiring tools built on these models would discriminate against women. That healthcare triage tools would underperform on Black patients. That loan approval systems would entrench inequality while presenting their decisions as neutral algorithmic judgment.

Every one of those things has now been documented in deployment.

Amazon's hiring algorithm penalized resumes that contained the word "women" in any context. Healthcare risk scoring algorithms used by major US hospitals were found to systematically underestimate the medical needs of Black patients. Apple Card's credit algorithm gave wives credit lines 10x lower than their husbands for the same financial profile.

The third warning was about environmental cost. The paper calculated that training a single large language model produced emissions equivalent to the lifetime output of 5 cars. The prediction was that the race to scale would create an environmental footprint that would eventually rival entire industries.

In 2024, Google's emissions were up 48% from 2019, and the company explicitly blamed AI infrastructure. Microsoft's were up 29%, same reason. Both companies have now quietly abandoned the climate commitments they were publicly celebrating the year Gebru was fired.

The fourth warning was about documentation. The paper argued that the training datasets being assembled were too large for anyone to actually audit. Nobody at Google, OpenAI, Meta, or any other lab could tell you with confidence what was in the data their models were trained on. This was not a temporary problem to be solved later. It was a permanent feature of the approach.

In 2023, researchers discovered that the LAION-5B dataset, used to train Stable Diffusion and other major image models, contained thousands of images of child sexual abuse material. The companies that had trained on the dataset had no way of knowing. The paper predicted that category of failure 3 years before it was found.

The fifth warning was the one Google cared about most.

Bender and Gebru argued that the deployment of these systems would centralize linguistic and cultural power in the hands of the small number of companies that could afford to train them. The internet would become a place where the dominant voice was a statistical average of dominant voices, presented as a neutral assistant. Languages underrepresented in the training data would degrade over time as more web content was generated by these systems and fed back into the next training run.

This is now happening in real time. A 2024 study found that 57% of new web content in English is AI-generated or AI-assisted. Researchers studying low-resource languages have documented active degradation in translation quality, because the synthetic content fed back into training is itself worse in those languages.

The paper Google fired her for predicted the model collapse problem before model collapse had a name.

The mechanism behind why this all happened is the part of her work that nobody quotes.

Gebru's argument was not that AI is dangerous in some abstract sci-fi sense. Her argument was that AI is dangerous in a very specific structural sense. The technology was being built by a small group of researchers who shared similar backgrounds, worked at similar companies, and were rewarded for shipping products faster than competitors. The incentive structure made it impossible for safety, ethics, and bias concerns to slow anything down. Anyone inside the system who raised those concerns was either ignored, sidelined, or removed.

She was making that argument from inside Google.

Then Google proved her right by removing her.

The team Google had built to make sure their AI was safe was dismantled in 90 days because they did the job they had been hired to do. Margaret Mitchell, the other co-lead of the Ethical AI team, was fired two months after Gebru for searching through her own emails for evidence of how Gebru had been treated.

Gebru did not stop. She founded DAIR, the Distributed AI Research Institute, in 2021. The mission is to do AI research outside the control of the companies that have a financial interest in not hearing the answers.

Every prediction in the Stochastic Parrots paper has now been validated by deployment. Hallucinations are an industry-wide problem the largest labs cannot solve. Bias amplification has been documented in hiring, healthcare, lending, and criminal justice. Environmental costs are larger than entire small countries. Training data audits remain impossible. Model collapse is an active research crisis at every major lab.

The question worth sitting with is the one almost no one in the industry will say out loud.

Every researcher with the technical credibility to call out these problems watched what happened to her in December 2020 and made a calculation about their own career. The number of people willing to speak publicly about safety and ethics issues inside the major AI labs collapsed after that firing and has not recovered.

The researcher Google fired for warning about exactly what is now happening was right.

The company that fired her is now the second-largest deployer of the technology she warned about.

And the people inside that company who agree with her are not allowed to say so.

[unbeeliever]

[sendolockhart]

Vivi book!

[colossussteppes]

Got inspired by an idea of @one-man-ensemble's while watching Riku's voice actor igobygraven play KH2.

[sonichedgeblog]

In 1996 Sonic Team released a non-Sonic game with NiGHTS Into Dreams! Sonic 3D Blast released on the Genesis and Saturn, Blast on the Game Gear, Sonic’s Schoolhouse on PC, and the Sonic OVA was released in Japan! Alas, Sonic X-Treme was cancelled.

[quasi-normalcy]

I've reached the point where cynicism is a major turn-off for me. You're not smarter than idealists, and you're not helping.

[quasi-normalcy]

Funny that the stereotypical cynic is an idealist who aged out of it. In my experience, the reverse is true. I was an extreme cynic as a teenager and then I noticed how profoundly limiting it was, and also that "cynics are cool and smart" was a message that was being constantly reinforced by corporate media for some reason.

[quasi-normalcy]

#yes! cynicism reads as very juvenile to me#and yes prev often stemming from teen pain

Yeah, like I see black-pilled people on here and my default reaction isn't "oh, these must be world-weary old warriors who've lost their faith in humanity", it's "these people are in their 20s and need a hobby"

[quasi-normalcy]

I also think that the present era has proven that authoritarian leaders don't actually want a population of wide-eyed idealists, they want a population of jaded assholes who are convinced that everyone is lying, any resistance is either a scam or doomed to failure, and nothing can ever get better.

[idiomagic]

Hope is punk. Despair is corporate.