The UFC just released footage of the fighters rehearsing their walkouts for the White House event 👀 (via @ufc)

Has there ever been an op-ed that aged worse than this one?

New tranche of UFO files and videos just dropped.

Karmelo Anthony discourse marks a new nadir not even fully realized in 2020. Any society that would indulge that as self-defense is one you need to exit immediately.

The whole Karmelo Anthony uproar is insane to me. If a black boy were murdered because he refused to let a white boy in his personal space, there were would be mass protests calling it an act of "white supremacy." I'm supposed to believe the kid stabbed to death is the villain?

Gifted and Talented, or G&T, programs have long been a perennial subject of debate, particularly in New York City, where it has bedeviled mayors for years. Some parents have already washed their hands of the whole G&T business, refusing to participate in what they view as a corrupt system of segregation. But countless others still place significant stock in the G&T designation and what it offers and are comfortable relying on cognitive testing, should it be required, to determine whether a child qualifies. “When your intelligence is the foundation of your self-perception, failing to achieve feels like soul death,” writes Katie Arnold-Ratliff. But if the limited amount of information we have about gifted kids long-term is any indication, most lead, at best, ordinary lives of modest accomplishment. A 35-year study of 677 gifted children found that by age 50, only 12.3 percent had reached a level of “eminence,” defined as “full professors … Fortune 500 executives … judges and lawyers, leaders in biomedicine, award-winning journalists and writers.” This means 88 percent never did. Arnold-Ratliff digs into the myth of the gifted child, and how our notions of intelligence may be inherently flawed: nymag.visitlink.me/9mc2Wh

BREAKING: Knicks Fans climb and smash Yellow cab on 7th Avenue in NYC after Knicks win Game 4 of the NBA Finals Video by @yyeeaahhhboiii2 | Licensing desk@freedomnews.tv

You have noticed it. ChatGPT feels dumber than it used to. Your prompts that worked six months ago produce worse results now. The writing sounds flatter. The ideas sound safer. The internet itself feels like it is shrinking. Every article reads the same. Every email sounds the same. Every answer sounds like it was written by the same voice. You thought it was you. It is not you. Researchers at Oxford and Cambridge published a paper in Nature proving what is happening. They call it Model Collapse. Here is the mechanism in one sentence. AI trained on AI-generated data gets dumber every generation until it forgets what real human data looked like. The internet is filling with AI-generated content. Blog posts. Articles. Reviews. Comments. Social media. AI companies scrape the internet to train the next generation of models. Which means the next generation of AI is being trained on the output of the current generation. Each cycle loses information. Not randomly. It loses the rarest, most unusual, most creative parts first. The researchers call these the "tails of the distribution." The weird ideas. The unexpected perspectives. The things that made the internet feel human. Those disappear first. What remains is the average. The safe. The expected. The bland. Then the next generation trains on that. And loses more. And the next generation trains on that. And loses more. The researchers proved this is not a slow decline. Major degradation happens within just a few iterations. Even when some of the original human data is preserved. They tested it on large language models. On image generators. On statistical models. The pattern was the same every time. The output converges toward a narrow, flattened version of reality that looks nothing like the original data. The lead researcher put it plainly. "Large language models are like fire. A useful tool. But one that pollutes the environment." The pollution is invisible. You cannot see which sentence on the internet was written by a human and which was written by AI. Neither can the AI that is about to train on it. And once the tails are gone, they do not come back. The damage is irreversible. This is not a prediction anymore. It is a diagnosis. The internet you grew up on was built by humans writing things no algorithm would have written. Strange, personal, imperfect, alive. That internet is being diluted. One generation of AI at a time. And the models trained on what remains are learning a smaller and smaller version of the world. Model Collapse is not a technical problem. It is a cultural one. The thing that made the internet worth reading is the thing that disappears first.