WoooHooo!! 🎉🥳 Its been 1 whole year since my first upload here! And i’d like to say thank you to anyone who has come by and given my stuff a look. It’s been an incredibly welcoming space (fandom) that in all honesty pushed a special interest to hyper fixation. I’m truly happy to find myself here and can’t wait to find out where we are next year. Also things are in the works to make merch, were learning so patience and we’ll get there😌🫶🏾✨Thank ya’ll for everything
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We NEED to acknowledge the junkyard scene from TFP S3 more. We NEED to acknowledge that Raf basically talked Ratchet out of the closest thing to a non-sacrifice suicide that can be put in a show aimed primarily at children.
I brought this up to one of my pals and he said "I don't even think the show itself realises the gravity of that moment there".
I think we need to acknowledge that more. I don't think we really got the full enough scope of just how much humanity, and probably Raf in particular means to Ratchet. I think we need to remember that scene and let it sink in for a good while. I'm basically marinating my brain in that scene.
D'you think Ratchet thinks about how he owes his continued life, every happy moment he's had since, to this kid who cared to form some kind of bond with him from the very start, despite how much he hated him at first? D'you think Ratchet ever remembers the encouraging things that Raf has told him when things get tough?? D'you think whenever Raf has a bad day, Ratchet picks him up in his big metal hands and holds him close and lets him cry as much as he wants because Primus knows the kid was there for him at his absolute worst??? D'you think they and Bumblebee all sit together in wordless understanding of how important they all are to each other????
Is anyone else just a little bit insane about the junkyard scene???????
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When my mother forgets a word, she is the queen of coming up with new words. Words that would take a third National Treasure movie to fully decipher. I was talking to her yesterday, and she said this: “You know the time for los jibbities is coming up. You must be so excited!” Oh, is it time for los jibbities already? I must have missed it on my calendar. Are we celebrating something? “Of course! We should all be celebrating, shouldn’t we?” OK, so los jibbities is a happy thing. It’s not like something is giving you the heebie-jeebies, which would have been my one and only guess. “Los heebie-jeebies? Now you’re making things up...and this is my show.” You’re right. The time for los jibbities is coming up. Is this a season? “Yes, the season for love. The season for pride.” OK, los jibbities. “Yeah, sound it out.” Los…jibbities. LGBTs! “Sí, mira cuz you’re gay!” “You couldn’t just say pride season? You couldn’t just… *laughs*
\(°Д°)/ I'm still alive! Just been busy. Here are some silly photos I've been taking.
The pho place gave us a little bowl for sauces and I just saw an opportunity to do this. :p
Jank cake I made. :p
Arms💪💪💪
The bear messed with the wrong mech.
The fish got him though. :p
❄️Chillin' in da snow❄️
The bug eyed Prowl was the first Prowl plush I got at the Baltimore 2024 TFCon. Don't have a lot of photos with him because he's too big to fit in my pocket. The grumpy one is small enough to bring around discreetly. I'm having way too much fun taking photos of them.
*bows in praise* ya got more patience than you realize and knowing when to give yourself time to learn to appreciate yourself and your work is incredibly admirable. I love love love your skills btw ;painting,sewing , GROMMETS!!! 🫶🏾✨
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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.
I just got to live through my own horror movie this morning. So I live in between a few schools of the neighborhood so busy/noisy mornings are par for the course. I also haven't had the greatest sleep pattern all week. So I was in and out of sleep when I here and woman calling "come here; come here", which not abnormal, I even recognize her from homes on the otherside of the fence. Cool beans, go back to sleep;an hour later same lady same call "come here; come here" but much closer and kind of breathy but chasing after kids and repeating yourself is normal. Try to sleep one more time before giving up. *tap*tap* ..."come here;come here" *tap*tap*tap*😶 NOPE, BITCH! NO NO WE DON'T DO THAT!! FUCKER RIGHT ON OFF!! mind you i have a dog and she hasn't barked made a peep no acknowledgement something going on at all. So I'm like am I dreaming/hallucinating. But no fully up and out of my room, checked for TV left on or phone running, something nope, me running around spooked. Until *tap*ta-"No Leave get the fuck outta here" and I push open the curtain to yell at said tormenter and ... crow... DAMNIT! AAAGGHH fun fact crows can mimic people's call and an adult crow was calling for its fledgling that had fallen into my yard and couldn't get back over. Now at 3 in the afternoon fledgling is free and safe
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Dare I say, blind Blip-A whose visor is enhanced with assistive devices to give her an echolocation type view like the Eridians (something that drew her to them) and she isn't much of a talker, preferring to respond in hums and whirrs?
Dare I say, Hail Mary who by contrast is an absolute yapper, who loves math so much she accidentally cuts a lot of other bots/beings off while talking about it, but Blip-A doesn't mind cause she could listen for hours? She's more tactile and architecturally creative minded anyway, so it's fun to learn new things while she works on projects?
Dare I say, once Grace and Rocky are safely on Erid, Blip-A and Hail Mary decide to explore the universe together to help save the other stars and while they're navigating a dead galaxy destroyed by Astrophage they come across another damaged Cybertronian, blown to pieces, covered in blood, and in desperate need of their help 👀
Dare I say the two of them take the Iron Lung (they/them?) under wing, who once rebuilt only speaks through clips of other people's voices (like a creepy Bumblebee, but they are valid). Scary goth joins polycule? Yes?