David Gardner (DGard)

FIRST LOOK at the KFC x ‘SUPERGIRL’ takeover! Starting June 8, fans can grab the Supergirl Ultimate Meal and Supergirl Combo Meal featuring three new sauces, the Kryptonian Kooler, blind-bag collectible keychains and a Krypto Collectible Bucket arriving June 10.

Holy shit. Ken Paxton bought a house with his current mistress in a gated community in Frisco on February 2, 2026. The $2,200,000 house was paid for in cash and the Trust is: 5 Harbour Town Living Trust. It’s all public data on denton county appraisal district. Where did he get the cash???

@CrazyVibes_1 We figured our own shit out.

Dear Gen X, I’ve been watching 80s movies and I just need to know…WHERE WERE YOUR PARENTS?? Every child was just wandering the earth unsupervised like a raccoon with house keys. Riding bikes across town at midnight, fighting ghosts, investigating murders, befriending cryptids, hacking government computers for funsies… And the parents were ALWAYS “out of town” or “working late” while the only adult-adjacent supervision was some random 16-year-old who got dragged into the chaos. No cell phones. No helmets. No adult supervision. Just vibes, life lessons, and several near-death experiences. You all weren’t “raised.” You were lightly monitored feral creatures with a bike and unresolved trauma. I’m genuinely shocked there are enough of you left to populate an entire generation.

Cheater Texas AG and Christian influencer mistress' secret new $2m love nest REVEALED... as insiders spill all about ultimate insult to his scorned wife of 40 years trib.al/Wmm96Rx

Some good news today. South Carolina has chosen NOT to move forward with gerrymandering for the time being. AND a court has blocked Alabama’s gerrymander. The fight continues. But these small victories are important. Keep the faith.

#DC struggled to compete with Marvel, largely because the MCU. However, it is now clear that #Marvel’s reign has come to an end, with DC delivering the death blow. ICYMI, read more: screenrant.com/marvel-comics-…

This is amazing. The New York Times put together a graphic of how much time cabinet members spend kissing up to Trump in meetings. "On average, at least one of every six sentences either flattered Mr. Trump, gave him credit or criticized his political opponents." North Korea.

Shit for brains is at Walter Reed Medical Center getting another cognitive exam.

The White House lawn is about to smell like cigarettes and unpaid child support.

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.

"If you want $3 gas, you're going to have to wait 6 years. We will not get back down to that sub-$70 oil level until 2032"

Why on earth does the US keep a for-profit healthcare system that delivers worse outcomes at higher costs than countries with universal healthcare? The answer is infuriating: For-profit healthcare has generated 51 billionaires on Forbes' annual billionaires list, and in a country ruled by profit, creating billionaires is more important than investing in the health and well-being of its own people.

COMMENTARY: Pratt is a quintessential American. His entire life has been fueled by an unfathomable level of self-confidence, despite a data set that suggests he may not be good at anything. rollingstone.com/politics/polit…

Submitting job applications 1995 -Candidate expects 80K salary - Company offers 100K salary - Good fit, no wasting time 2002 : - Attach CV, submit - 1 round of interview - Offer letter in 3 days 2026 :

First ever photo of the cousins together on the set of #Superman. #Supergirl is in theaters in one month!

Call me old-fashioned, but I think it should be a bigger story that a sitting Republican member of Congress is missing, nobody knows where he is, yet he’s somehow still insider trading.

Nothing to see here… Our Secretary of Health and Human Services (HHS) playing with and repeatedly getting bitten by snakes while his wife screams for him to stop.

Ken Paxton had an affair with a "pro-life Christian mom of 7" while his wife was in the next room. Taxpayers funded his trips. Then he filed for divorce on "biblical grounds." Biblical? You mean the part about not committing adultery!? Disgusting hypocrite creature!!!

At Arlington National Cemetery today, Trump failed to name 14 of the 15 soldiers who died during his unauthorized war in Iran. Here is the full list: Capt. Cody A. Khork, 35, Winter Haven, Florida Sgt. 1st Class Noah L. Tietjens, 42, Bellevue, Nebraska Sgt. 1st Class Nicole M. Amor, 39, White Bear Lake, Minnesota Sgt. Declan J. Coady, 20, West Des Moines, Iowa Maj. Jeffrey R. O'Brien, 45, Waukee, Iowa Chief Warrant Officer 3 Robert M. Marzan, 54, Sacramento, California Sgt. Benjamin N. Pennington, 26, Glendale, Kentucky Maj. John A. Klinner, 33, Auburn, Alabama Capt. Ariana G. Savino, 31, Covington, Washington Tech. Sgt. Ashley B. Pruitt, 34, Bardstown, Kentucky Capt. Seth R. Koval, 38, Mooresville, Indiana Capt. Curtis J. Angst, 30, Wilmington, Ohio Tech. Sgt. Tyler H. Simmons, 28, Columbus, Ohio Lance Cpl. Kevin Melendez, 19, Grapevine, Texas Maj. Sorffly Davius, 46, New York, New York

Memorial Day cookout. Beach trip. Visit with family. All of it costs more this year. That’s not an accident. Trump’s tariffs and war in Iran are driving up your costs.