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@0xnobi @krazylegz420 Remember the Tv guide that came in the newspaper???

@0xnobi This was it too

do you remember when the tv looked like this

At just 16 years old, Kechi Okwuchi survived a horrific plane crash that claimed over 100 lives — one of only two survivors. Burned over 65% of her body and given a slim chance to live, she fought through more than 100 surgeries, rebuilt her life, earned her MBA from the University of St. Thomas in Texas, and became a powerful motivational speaker and singer who has inspired millions worldwide. From the ashes of unimaginable tragedy to a voice of hope and resilience. This is what turning pain into purpose looks like. Kechi’s story is pure proof that survival is only the beginning. 🔥

🚨 Republican State Rep. RJ May has been sentenced to 17.5 years for distributing child s*xual abuse videos. He was a founding member of the South Carolina Freedom Caucus.

Strange news out of Las Vegas: The Israeli property manager linked to an illegal Las Vegas biolab (which contained HIV and dengue fever) just had federal charges dismissed against him

"They are so good I owe the whole state and all five boroughs of New York an apology. ... It reminds me of that Detroit team that beat us. ... They just got a bunch of guys that are just together." @SHAQ joined the @RichEisenShow to give the Knicks their flowers 🏀

Leon Rose puts his arm around his son, Sam, and visibly breaks down in tears after the emotions set in of the Knicks going to the NBA Finals. This is beautiful stuff. We love you, Leon. Thank you for everything you have done. h/t: Jordan Brill

There are so many cults I’ve never heard of.

🚨 MONSTER MOM: Had S*x With Boyfriend Just 20 Minutes After He Raped and Murdered Her Little Girl! This is pure evil. A heartless mother stood by while her boyfriend and his cousin tortured her young daughter— even forcing the child to do meth. Then, just 20 minutes after the monster raped and killed the girl, the mom jumped into bed with him for s*x. Cops say she did nothing to stop the horror. No protection. No escape. Just cold betrayal of her own blood. This case will boil your blood and leave you furious at a system that lets such demons walk free. Pure parental failure at its most disgusting.

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.

So … they ate babies. Say it out loud: they ate human beings. They did things to our children that only a demon from hell could participate in. And they’re still in office.

What a fucking loser

🚨 A “mother” shot her husband and another woman at a bar because she thought he was cheating and then went home and gunned down her her 10-year-old son and her 18-month-old child before taking her own life like a coward. 📍Glendale, Arizona She shot the other woman in the back of the head as she got in her car to try to get away from her crazy ass. She drove home and sent a text to her husband to say she was going to kill their two young children and sent him a picture of one of them bleeding from the head. Why couldn’t she just take her own life why do they always have to take their children with them?

This is why crime stats are bogus. Charged with a misdemeanor and doesn’t have to register as a sex offender. Now imagine how many of them commit crimes and never get charged to begin with.

Good morning. The President of the Utah Senate has an 18-year old grandson charged with molesting a child. He just passed a bill reducing child molestation sentences, specifically for 18-year olds. They walk among us with red hats.

This smiling 7-year-old is Jor’Dynn Duncan, a joyful little girl who loved hugs, her stuffed bunny, and just being a kid. Instead, she allegedly suffered months of horrific torture in the care of her father’s fiancée Emily Kelly (50), and family, Kelly’s mother Barbara Renner (75), and Kelly’s daughter Elyssa Seymore (24). She suffered nearly 90 sharp force injuries, Starvation, an untreated infection that eventually took her life in December 2025. Rest in perfect peace, Jor’Dynn. We see you. We remember you. Justice for Jor’Dynn. 🙏🏾❤️

The 50th Trump supporter arrested for being a pedophile this week.

Gunpowder used to be for entertainment, then it was used to kill. Drones used to be for entertainment, then they were used to kill. AI is used for entertainment.

@SarahIronside6 They ban abortions so they could have more kids to abuse.