"Why is it a problem if students use AI to get through college"
Because if you demonstrate to me that you're willing to set aside concern for truth, evidence, and verifying things with your own eyes whenever it happens to be inconvenient for you, I have a solemn responsibility to make sure you don't get into medical school.
Tumblr doesn't like to do this kind of ethics, so I have to phrase this carefully, but it's a question of character. And a person's character is clearest when they're being asked to do the right thing even when it doesn't matter to them.
I don't want to live in a world in which doctors and lawyers and politicians just ignore the responsibility to research and verify when it's inconvenient for them. When they're busy. When they have something they'd rather be doing. The world I live in is already too full of those people in positions of power. I'll be damned if I let there be more of them.
Some of the responses to this have been, in essence, "well, it's not our fault for being raised in a bad educational system that prioritizes grades over comprehension". And you're right, it's not your fault.
But you freely admit the system is bad. That it values the wrong things.
So why do you limit yourself to only achieving what it values? Do you not aspire to be better than a system you know is wrong? Don't you want to change the world?
[looking at people younger than me] you have your whole life ahead of you [looking at people older than me] you have your whole life ahead of you [looking at myself] its over
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.
Keeping an alive tumblr in 2026 is proof of one's sincerity and authenticity - a type of person who enjoys posting for the sake of it with absolutely nothing to be gained....just the enjoyment of curation and self expression untainted by opportunity and relevance
I have a very rough idea in my head that I don't think I can clearly articulate beyond "And that concludes tonight's reports on German air forcâWHAT'S THIS? IT'S KING ARTHUR WITH A STEEL CHAIR"
This isn't exactly the same idea but it could be but there is more rattling around in here so:
The Blitz here manages to qualify as Britain's Darkest Hour, thus triggering the return of Arthur from the Realm Avalon.
He does not speak a lick of modern English. He speaks an unholy mishmash of Brittonic and Late Classical Latin.
(Honestly I can see the latter becoming a plot point if they manage to get their hands on a Roman Catholic priest to act as a translator. It wouldn't be a perfect arrangement, but probably better than anything else.)
Truthfully he probably gets mistaken for a madman.
Somehow manages to steal a Spitfire out from under the RAF's nose, proceeds to use it to bring down like half an enemy squadron on his own, then lands in a field in the middle of nowhere.
Police and RAF converge on his location on account of the whole "stealing a plane" thing. They eventually overwhelm him with sheer numbers, but he manages to knock out an impressive number of them in the process. I mean, come on. It's Arthur.
The conversation around abortion shouldnât be âare you absolutely sure you want an abortionâ it should be âare you absolutely sure you want a childâ. You can get pregnant again. You can adopt. But you canât half-heartedly raise a child or change your mind midway through parenthood. Children are a huge responsibility and if someone isnât 110% sure they are willing and able to do it, they shouldnât. Having a baby shouldnât be the default because of how extremely demanding and difficult parenthood is and the irreversible damage it does to a kid to be raised by someone who didnât even fully want parenthood and wasnât prepared for that level of responsibility.
Thatâs why I take being an aunt so seriously: because I know and value how important it is to take care of a kid, and that I donât have the resolve in me to do it 24/7.
i once again want to say that hulu used to be entirely free with ads, and if you watched two minutes worth of commercials at the start of an episode the next 24 hours would be commercial-free. and now you pay $11.99 per month to watch things with commercials. what the fuck are we doing and how did we allow this to happen lol.
if you are a parent, or may become one, or you are otherwise likely to arrive in the situation of caring for a child while they eat, promise me this: if a child doesn't like a certain food or food group, you will ask them WHY. and specifically, you will pay attention to either confirming or ruling out "it makes my mouth itch" or "it makes my stomach hurt," both of which are medically important info that children may not provide unprompted. which i know because this PSA has been brought to you by "i spent my entire childhood and much of my early teens eating peas and lentils while wondering why everyone else liked the Violently Itchy Mouth Sensation so much, like were they a bunch of legume masochists or something, before i finally realized that Violently Itchy Mouth Sensation was in fact a sinister demon appearing only to me, and her true demonic name was: Legume Allergy"
I've seen this clip many times, but never really appreciated the power of "what was her problem?" Just casually assuming that lesbians come in a wide variety of shapes and being inclusive. As a transbian who is probably still closer to Homer shaped than to my ideal, that's huge!
I feel as though what drives most rude / inconsiderate behavior I experience IRL on a day to day basis comes from a place of having this unearned and unnecessary sense of urgency in situations that aren't actually urgent. I think if more people became aware of this completely unnecessary sense of urgency in situations that actually aren't urgent, it might make co-existing and sharing public spaces with other people a lot easier and more tolerable.
That text post that's been making the rounds that goes something like "Omg you made it to the same red light as everyone else but faster and more dangerously and recklessly, should we call nascar? Do you want a medal?" summarizes exactly what I'm trying to talk about.
It's like when I have to change buses at one of the bigger and busier bus stops, and the people who get off the same bus as me shove and elbow past me to get off before me, and then shove and elbow past anyone even slightly in their way on the way to the bus they're switching, only to end up on the same bus as all the people they shoved and elbowed with several minutes to spare before it leaves and plenty of open seats left.
I think this unnecessary urgency a lot of people feel in their day to day lives drives a lot of bad behavior. I'm not saying I'm innocent of this, I've felt it too in plenty of situations that didn't call for it, and regrettably was less kind than I should have been as a result. But I try to be aware of it, and always try to ask myself it it's really as urgent as my lizard brain is trying to tell me it is, and even if it was that urgent, does that still justify unkind behavior?
Is shoving or elbowing another person aside going to make the difference between whether or not you make it to the bus before it pulls away? (hint: at least where I live, most of the time that's a no because the drivers usually won't leave if they see people from another bus heading towards their bus). Is shoving and elbowing people aside in a crowded grocery store going to make any noticeable difference in how quickly you get your shopping done?
Does a few extra seconds of time actually justify cruel and unkind behavior towards people you perceive as slightly inconveniencing you?
