Hi! This is the side-blog of @L8, a web designer from Mexico. I've been on Tumblr since 2008, but I only post stuff in spanish (which hasn't stopped me from breaking containment with my Tumblr posts at last once, but that's out of my control anyway).
This blog will be used to post stuff that doesn't fit my main blog, including mostly english reblogs. Yeah, that's why the name is "L8 Too." Hope that explains the lack of theme curation around here.
Also, if you like my brand of mess, check out @L8news, my OTHER side-blog based on a simple idea: World news illustrated with brand new GIFs.
Anya is live and ready to show you everything. Watch her strip, dance, and perform exclusive shows just for you. Interact in real-time and make your fantasies come true.
✓ Live Streaming✓ Interactive Chat✓ Private Shows✓ HD Quality
Anya is LIVE right now
FREE
Free to watch • No registration required • HD streaming
We can laugh at them but we have to take this seriously
So let’s take them at their word. Assume the technology works as advertised, that AI systems become capable of performing most cognitive labor at a fraction of the cost of human workers. What happens next?
LLM is certainly not AI as we think of it, but what if the world doesn't care and embraces it anyway? Quick answer: the economy will implode in ways we haven't considered yet.
Longer answer: read this thoughtful essay on how screwed we might already be.
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.
From what I remember of back when Millennials were outpacing Boomers at internet and tech stuff in general, this is going to cause a lot of issues for companies angling to use slop in marketing because the younger set are always going to be better at spotting it than the older, but the older are going to be the ones approving marketing campaigns and ads and etc. Meaning, the older people will not ever be able to tell what might actually convince the younger.
The good news is that if it persists and Gen Z and Gen Alpha continue to scoff at the generated stuff, then marketing departments aiming at them will just have to give up on using it because they won't be able to figure out how to fool their targets with it.
The bad news is that this won't apply to scams and campaigns aimed at older people, so once again we're going to have a situation where the kids will be the ones lunging across the coffee table to stop Mom from giving her financial info to that really obvious fake scam mom oh my god do NOT buy that it isn't even a real thing.
extremely funny to me that Kermit the Frog is the only main overlap character between Sesame Street and The Muppets. imagine your day job is hanging out in a community of lovely people that genuinely just want to help kids learn and care about everyone so so much and then your night job is the reason that you have to stay up to date on your rabies AND tetanus vaccine
at noon the giant you're hanging out with is Big Bird! a wonderful fellow who likes reading stories and singing and telling fun facts! at midnight there's a giant named Sweetums who makes you feel like you're being hunted for sport
Ernie, trying to maybe come out to Kermit: well you know Kermit, me and Bert-
Bert: Bert and I
Ernie: Bert and I, we've been best friends forever, but we're also something else too!
Kermit, who every goddamn night has to tell Beaker and Bunsen to keep it professional, deal with Statler and Waldorf's bullshit, AND update his organizational chart on Dr. Teeth and the Electric Polycule: that's really great to hear fellas, happy for you two! :)
Funniest part for me is the entire Sesame Street crew meeting the Muppets in this Xmas special and everyone suddenly understanding Kermit a lot better. "Ah, yes." they say, "Kermit does so much for the Muppets."
The unedited version with all the crossovers is here- ENJOY!
Anya is live and ready to show you everything. Watch her strip, dance, and perform exclusive shows just for you. Interact in real-time and make your fantasies come true.
✓ Live Streaming✓ Interactive Chat✓ Private Shows✓ HD Quality
Anya is LIVE right now
FREE
Free to watch • No registration required • HD streaming
This post was originally about the story of Croesus, King of Lydia, and how he decided to go to war with Cyrus the Great in the 6th century BCE. Now it's about something else.
"Just because I'm right, doesn't mean I'm being helpful" is a vastly underrated thought process that I strongly encourage others to get comfortable with
I feel like it really adds something to know that this coffee shop was right next to the state capitol building. There is a non-zero chance one of these lattes ended up in the senate chamber.
Congratulations, you've unlocked the secret nerd bonus! I actually ended up texting a friend who specializes in the early Roman empire for advice on designing this special.
Honey and almond are pretty self-explanatory, as honey and nuts both figured heavily in Roman desserts. Cinnamon, meanwhile, means dead rich guy. It was insanely expensive to obtain, and the wealthiest of Romans used it to scent funeral pyres, so that the smell of burning cinnamon would cover the scent of cremation.
Anya is live and ready to show you everything. Watch her strip, dance, and perform exclusive shows just for you. Interact in real-time and make your fantasies come true.
✓ Live Streaming✓ Interactive Chat✓ Private Shows✓ HD Quality
Anya is LIVE right now
FREE
Free to watch • No registration required • HD streaming
Imagine that everywhere in the mechanical engineering world suddenly got infatuated with lasers.
Lasers have a lot of uses! Measuring things, heating things, cutting things, entertaining cats, particle physics. Lasers are pretty cool. Very versatile, very useful, potential to be very powerful.
Someone shows up one day and says "I have developed a never before seen technology! I call it a Death Star."
And it's a 3.4mW laser. Well no, we haven't seen this exact size of laser much since that's not really standard, but that's a bit of a misnomer, and I wouldn't call it new -
"HOLY SHIT GUYS! This Death Star is so entertaining! My cat loves it and it has such a nice color!" The Death Star becomes a viral novelty, and is mildly entertaining, as laser pointers often are.
Somehow, seemingly overnight, this leads to mania. "Lets stick lasers in EVERYTHING! The public loves them!"
More companies make 3.4mW lasers to jump on the bandwagon. Everyone that makes anything vaguely mechanical starts sticking lasers into their designs.
Everyone is calling them Death Stars. Any time there is a "Death Star innovation", it is just that they made a bigger laser.
Ford's next truck comes out and it has "Death Star integrated headlights", where they have just stuck giant lasers in place of their previously functional headlights.
An electric toothbrush is now "Powered by Death Stars" and shoots a laser at the tooth its cleaning. You think that maybe this could have actual applications as a sanitizing device if you're being generous, but when you actually look at the product, its laser has no purpose but to point at the tooth and drain the battery.
Mechanical products across the board get noticeably worse as everyone starts stuffing lasers in places where lasers have no right to be.
The lamp business gets in on it. "Here's a Death Star powered lamp!" These guys haven't even tried to stick a laser in their damn lamps. They've just started calling their light bulbs Death Stars and hoped you bought it before you could tell the difference. You at least appreciate that they haven't ruined their lamp about it.
Death Stars are lauded as the solution to all the world's problems. If it's not working, you should stick a laser in it! That'll fix it, everyone says. Once in a blue moon, it's even true! Weather prediction is really good now. But most things are garbage. Like "Death Star powered washing machines". What the fuck does that even mean?
Meanwhile, since all functioning mechanisms are being replaced with lasers, problems start showing up. All mirrors now cost $1000+ dollars, because the whole supply is being used up to make more lasers. The earth heats up, because everyone's blasting lasers at everything. People keep going blind, on account of all the lasers.
You, in fact, study optical mechanics. You know what a laser is, and how it works, and that it was invented many years before any of this nonsense actually started. People keep asking you about Death Stars, since surely you must know so much about them.
You explain that this is not really what lasers are for, except you have to call them Death Stars now, and that they're causing a lot of harm, so you don't like them much.
"Oh, but they're still such new tech!" they reply. "They'll figure out how to make Death Stars that don't burn your eyes out soon, and then it won't be an issue anymore!"
Somewhere, deep and buried, you remember lasers being used in particle accelerators, or in telescopes, or in laser cutters, or funny cat videos. They are, in fact, still interesting. Still cool.
But by this point they have replaced roads with "Death Star Powered Pathways", which are just laser pointers propped up on tooth picks pointing vaguely through the forests.
I ripped a ton of CDs I bought at an estate sale using Windows Media Player on Windows 11 back in September, so I wanted to look into this. Turns out Microsoft shut down the server that retrieves music metadata sometime in early December.
Starting yesterday morning (Dec 15 2025), Windows Media Player Legacy cannot find media info for CDs I am ripping. WPM displays unknown alb
Note that it will still play and rip CDs just fine, but they will only show up as "Unknown Album." If you want to rip CDs, you will need third party software. fre:ac has been good in my experience
sometimes i wonder if we have forgotten that sharing creative work is, fundamentally, a bid for human connection. like I'm not posting art or fic for 'engagement' i'm posting it looking for other sickos to play with! i'd be making it anyway for my own gratification because there's something wrong with me, i'm sharing it hoping we can have something wrong with us together <3
Anya is live and ready to show you everything. Watch her strip, dance, and perform exclusive shows just for you. Interact in real-time and make your fantasies come true.
✓ Live Streaming✓ Interactive Chat✓ Private Shows✓ HD Quality
Anya is LIVE right now
FREE
Free to watch • No registration required • HD streaming
This phrase has already entered my vocabulary re: media criticism where like. The viewer has a concrete view of what they expect a story to be based on the tropes and cliches they're used to seeing together, and when that doesn't happen, they judge it as a failed depiction of what they assumed it was going to be instead of judging it as what it actually is.
"This show is problematic because the hero didn't kill the villain at the end": When does he steal the bread?
"These two characters who were close friends throughout the series don't kiss at the end! What the fuck?": When does he steal the bread?
"This feels like it's missing a conclusion! Like, the protagonist does bad stuff and because of a critical decision he makes as a result of his major character flaws, meets tragedy in the end! Where's the part where he learns better and brings is love back from the dead and becomes a good guy and gets a happy ending?": When does he steal the fucking bread??