1/ The death spiral in one chart.
Generation 1: the model produces text that sounds human.
Generation 3: the output starts repeating itself.
Generation 5: rare words disappear entirely.
Generation 9: the model produces nonsense.
Each generation trained on the previous generation's output. Each generation lost more. The researchers watched it happen in real time.
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.
1/5
I'm a cardiologist. I have spent twenty years watching cholesterol destroy arteries, trigger heart attacks, and kill people I care about.
Today, Eli Lilly presented data that may begin to end that era.
VERVE-102. A single infusion. One dose. It uses base editing to permanently turn off the PCSK9 gene in your liver.
Presented today at the European Atherosclerosis Society Congress:
88% reduction in PCSK9.
62% reduction in LDL cholesterol.
Sustained up to 18 months.
No treatment-related serious adverse events.
One infusion. Not daily pills you forget to take. Not monthly injections. One dose — and your cholesterol may stay low for the rest of your life.
The @DarioAmodei interview.
0:00:00 - What exactly are we scaling?
0:12:36 - Is diffusion cope?
0:29:42 - Is continual learning necessary?
0:46:20 - If AGI is imminent, why not buy more compute?
0:58:49 - How will AI labs actually make profit?
1:31:19 - Will regulations destroy the boons of AGI?
1:47:41 - Why can’t China and America both have a country of geniuses in a datacenter?
Look up Dwarkesh Podcast on Youtube, Spotify, Apple Podcasts, etc.
🔴 LIVE — Last day at #PDAC2026.
Founding cohort still open — for now.
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Harvard Business School:
Community delays cost mining projects ~$20M/week.
More expensive than most engineering risks.
Far less managed.
The Certified SPA Analyst changes that. 3 hours to certification.
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🚨BREAKING: 6 cancer cure claims suddenly went viral after the U.S. left the WHO.
Feb 1-4, 2026: Pancreatic Cancer 🇪🇸
Feb 3-5, 2026: Colon Cancer🇰🇷
Feb 3-7, 2026: Colorectal / Lung Metastases 🇨🇳
Feb 6-7, 2026: HPV (Related Cancers)🇲🇽
Feb 7-8, 2026: Blood Cancer / Leukemia🇻🇳
Feb 4-8, 2026: Russia Cancer Vaccine (Various Types)🇷🇺