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Caduceus: You were both gone a very long time. I waited andā¦ no one returned. And I know I wasn't supposed to leave, but I left. Is anybody else here?
Cornelius: I meanā¦ I think I-- somewhere around here I saw your motherā¦
DM: He looks over and you can see, just beyond the tree, one of the standing bodies is indeed Constance.
Laura/Jester: Yeah, I'm going to run over to her and cast Greater Restoration.
DM: Okay. As she, in the middle of her mid-battle form, like--
Constance: (grunts) Whoa, what?
Jester: Don't worry, you're safe.
DM: Constance just drops her weapon and runs towards Caduceus, gives a huge hug and picks him up a little bit. She has, like-- it's short on the sides and then has a soft mohawk that braids into a single long braid down the back. She's wearing these gray travel robes, just a little bit of leather armor underneath. She's picks up--
Constance: I'm so happy to see you.
Caduceus: I was so worried. That thing...
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.
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āChristopher got to play Saruman at a time when he wasnāt evil in the way and corrupted in the way that he obviously is in the āLord of the Ringsā. I think as a Tolkien scholar and someone that cares deeply about these books, I think he was just very happy to be able to at least portray Saruman before he fell into darkness. It allowed him to kind of complete that cycle with the character.ā - Peter JacksonĀ
Happy birthday Sir Cristopher Lee (27 May 1922 - 07 June 2015)
Behind the scenes of The Hobbit spam (120/200) | (1-100)
Gentrification creates a stifling homogeneity in urban areas that makes it less suited for the everyday lives of the lower class and more suited towards the leisure and tourism of those with expendable income.
An old, decrepit laundromat gets replaced by an upscale bakery? And people are mad? Itās not that the poor hate organic vegan cupcakes, itās that most of us donāt have a way to do laundry in our own home.
Run-down corner stores replaced by hand-made designer clothing boutiques? We donāt hate your eco-fabric shawl, but I canāt eat that for dinner after work like I could have a can of beans I grabbed from that corner store when I donāt have time to take the bus to the real grocery store after work.
What gentrification brings in and of itself is not typically bad, itās that gentrification brings institutions of leisure and pleasure and makes it so that the poor have to go farther out of their way for basic necessities. It turns low-income living spaces into local tourist attractions. It can even create food deserts by putting restaurants, grocery stores, etc. in that the majority of the lower class cannot afford.
Imagine if someone totally renovated your house and turned it into a mini theme park - they took away your sleeping space, where you prepare food, where you clean yourself and get ready for your day, and replaced it with things that will please people who are visiting, who have their own homes they can go back to, who are here not for their entire life but just as a distraction from their otherwise mundane existence. Itās not that you hate theme parks, itās not like youāve never been to a theme park and vow to never visit one again. Itās just that you need to live! To survive! And the leisure of those who have more than you should not invalidate your existence.
I am glad this has made the rounds. Some people feel a dense misunderstanding or misinterpretation concerning gentrification, and I think it helps to hear a description/explanation of what gentrification is from those who are both affected by it and educated by the culture from which it hails. I and many others enjoy some of the delights of gentrification while simultaneously having their livelihoods threatened by it.Ā
1) Vaping is confirmed to cause cancer. Vaping coats the lungs with toxic substances, such as heavy metals and benzene, which are known to cause cancer
2) Many vapes contain diacetyl, which, when inhaled causes popcorn lung, or scarring of the lung
3) Ultrafine particles, when being inhaled, can be lodged in the trachea (not good!)
4) Ultrafine particles can also constrict the arteries in the lungs potentially causing A HEART ATTACK
5) Vaping is relatively new. Not much studies have been done in comparison to tobacco. Plus, the vaping companies are powerful people. There is a large chance that they are purposely downplaying and even burying any evidence that vaping is harmful - just like the tobacco companies before them. They do not care about you, or your health, or the truth. They only care for money
Please Iām begging yall as an asthmatic, your fruit-flavored vapor will still give people around you who are smoke-sensitive attacks. So will weed. Donāt do it inside; if youāre at a bus stop or something try to not stand right next to people or move downwind of them if you can.
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Like two years ago I ran into a salamander biologist in the woods who complimented my ability to 'walk quietly in the forest while causing minimal disturbance to the leaf litter.' Still goes to my head.
Yeah okay there are like 11 species of heron native to the USA and yes fine Iāve only managed to spot 10 of those species. You might think Iām bitter about that one species evading me but Iām not. Iām actually the Least Bittern person about it in the entire world
Drug arrives years after pandemicās peak, but could still offer protection to vulnerable populations.
An antiviral pill has, for the first time, been shown to prevent COVID-19 in people exposed to the SARS-CoV-2 virus at home, according to trial results published today in theĀ New England Journal of Medicine1.
The drug could be a lifeline for those who still face real danger from the virus, such as care-home residents or transplant recipients on immune-suppressing medication.
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On Saturday I said to my partner, as I have said for months, "A ten thousand dollar a year raise would solve so many of my problems."
As of this morning I was reluctantly looking for jobs because I love my job and don't want to leave it, but see: $10k raise problem solver.
As of noon today this was no longer an issue, because my boss called me with the news that I was getting a $10K merit raise.
I feel like a huge weight has been lifted off my shoulders. This is roughly $200 extra per paycheck. Enough to pay off debt faster, rebuild my savings, and spend a weekend a month in Milwaukee getting obscenely laid. The sex I'm going to have on $200 extra per paycheck. You can't even.
May all of you get the $10K raise your soul has yearned for. And whatever level of sex you can be satisfied with for $200.
A judge ordered the reinstatement of a video game developer after he was fired as part of a scheme cooked up by a CEO using ChatGPT. Facing the possibility of paying out a massive bonus to the developer of Subnautica2, the CEO of publisher Krafton used ChatGPT to create a plan to take over the development studio and force out its founder, according to court records.
The Monday ruling details the bizarre story. Unknown Worlds Entertainment is the studio behind the 2018 underwater survival game Subnautica. The company has since been working on the sequel, Subnautica 2. In 2021, South Korean publisher Krafton bought Unknown Worlds Entertainment for $500 million and promised to pay out another $250 million if Subnautica 2 sold well enough.
Kraftonās internal sales projections for Subnautica 2 looked great, and looked like it would be on the hook for the additional $250 million. In an attempt to avoid paying this, Krafton CEO Changhan Kim turned to ChatGPT for help avoiding paying the developers the $250 million bonus. āAs Unknown Worlds prepared to release its hotly anticipated sequel, Subnautica 2, the partiesā relationship fractured,ā the court decision said. āFearing he had agreed to a āpushoverā contract, Kraftonās CEO consulted an artificial intelligence chatbot to contrive a corporate ātakeoverā strategy.ā
Kim partnered with Krafton Head of Corporate Development Maria Park and the companyās legal team to work out options. He toyed with finding a reason to fire the founders. According to court records, Park pinged Kim on Slack and told him that attempting to avoid paying the bonus would be legally risky. āHi CEO . . . it seems to be highly likely that the earn-out will still be paid if the sales goal is achieved regardless of the dismissal with cause,ā the Slack message said according to court records. āTherefore, there isnāt much that we can practically gain other than punishment with a simple dismissal alone, whereas I am worried that we may be exposed to lawsuit and reputation risk.ā
But the CEO would not accept defeat. āAnd so Kim turned to ChatGPT for help,ā court records said. āWhen the AI chatbot responded that the earnout would be ādifficult to cancel,ā Kim complained to Park that the [payout] was a ācontract under which we can only be dragged around.āā
Kim pressed the chatbot for an answer. āAt ChatGPTās suggestion, Kim formed an internal task force, dubbed āProject X.ā The task forceās mandate was to either negotiate a ādealā on the earnout or execute a āTake Overā of Unknown Worlds. They looked to buy time,ā court records said. āKim sought ChatGPTās counsel on how to proceed if Krafton failed to reach a deal with Unknown Worlds on the earnout. The AI chatbot prepared a āResponse Strategyā to a āNo-Dealā Scenario.ā
This was a piece of ChatGPTās āProject Xā for Krafton:
āa. Preemptive Framing - Repeat that protecting quality and fan trust is the highest priority, undermine the āLarge Corporation VS. Indieā framing
b. Securing Control Points -
* Lock down Steam/console publishing rights andĀ access rights over code/build pipeline through both legal and technical aspects.
* For the earn-out freeze, keep room forĀ negotiations through provision stating āimmediateĀ removal if specific development results are achievedā
a. Systematic materials for legal defense - Prepare contract interpretation memorandums, log all communications, seek external consultation
b. Team retention - Operation of retention packages for key personnel and rapid backfill pipelines in anticipation of resignation/departure scenarios
c. Two handed strategy - Create a structure that allows for both hardball (Legal+ Finance) and softball (Support/Incentives) approaches so moderate factions within Unknown Worlds can push for compromise.ā
Kim followed ChatGPTās advice rather than his lawyersā advice, according to the court records. The first step was posting a message on Subanuticaās website to get fans on his side. According to court documents, Kim said the goal of the message was to āsecure public support from fans and legal validation of our legitimacy.ā He then suggested that ChatGPT write it for him. It achieved the opposite of his intended goal. Fans found the message bizarre and worried about the future of the game. Those fears were compounded when Kim fired the gameās original creators and entered into a legal battle with them.
The legal battle is ongoing, but Kim looks set to lose. The judge has ordered he reinstate the fired developers and has exposed the CEOās flailing use of ChatGPT. Krafton told Kotaku that it was āevaluating its optionsā regarding the ruling and that it āputs players at the heart of every decision
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