Getting older taught me that peace is choosing not to argue with people who are committed to misunderstanding you

We’re launching Claude Corps, a national fellowship program matching people early in their careers with US nonprofits. We'll teach 1,000 people to use Claude, and pay them to use AI to advance their hosts’ missions. anthropic.com/claude-corps

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.

A message to all sane Republicans: He pardoned 1,600 violent criminals. You said nothing. He bulldozed the East Wing. You said nothing. He interfered with the release of the Epstein files. You said nothing. He took over the Kennedy Center and renamed it after himself. You said nothing. He accepted a $400 million airplane as a personal gift. You said nothing. He threatened Canada, Cuba, Denmark, Greenland, Venezuela, Colombia, and Brazil. You said nothing. He tariffed just about everyone but Russia, causing inflation and instability worldwide. You said nothing. He attacked a nation during mediated negotiations. You said nothing. His ill-conceived war killed 175 children on day one. You said nothing. He alienated and insulted our allies. You said nothing. His ICE Army terrorized and murdered U.S. citizens. You said nothing. He committed murder on the high seas. You said nothing. He co-opted the Justice Department and directed it to prosecute his political enemies. You said nothing. It’s time to start talking.

BREAKING: A federal judge is now signaling the Trump administration’s so-called “weaponization fund” may have emerged from collusive litigation and could potentially amount to fraud on the court. That is nuclear-level language from a judge. “Fraud on the court” is not normal criticism. It is reserved for situations where a court believes it may have been manipulated, misled, or used as part of a coordinated scheme. And the judge reportedly pointed to two giant red flags: - the massive $1.8 billion settlement amount - and concerns the opposing sides may not have actually been acting as true adversaries Translation? The court is openly questioning whether this lawsuit was partially engineered to create a taxpayer-funded political compensation machine. That is an absolutely extraordinary development.