Airbnbs are so funny to me because "sleeps 8" could mean 8 people get their own bed or it could mean someone's gonna have to sleep on top of the refrigerator
Jonathan Toews is hanging up his skates. The Winnipeg Jets have scheduled an 11am CT press conference for Friday (tomorrow), where Toews will announce his retirement.
3 Cups. 1,149 career games. 912 points. 2010 Conn Smythe winner. 2013 Selke winner. 2015 Messier Awards. Great career.
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.
For the past three years, my wife has been complaining about me not putting the cap back on the toothpaste.
This anniversary, I decided to change this bad habit and make my wife happy.
For a week, I was diligent, always capping the toothpaste.
I was expecting my wife to thank me, but she never did it.
Finally, yesterday while taking dinner, she turned and looked at me and said "Why have you stopped brushing your teeth?"
Marriage is a difficult relationship, I tell you.
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Spoke to a DoorDash driver the other day
He makes $200k a year delivering food
Incredible
Asked him how (seemed way too high)
He makes about 20 deliveries a day
Gets paid an average of $7 per delivery
Thatโs $35k a year
Plus he delivers on a bicycle so his profit margin is basically 100%
So whereโd the rest of the money come from?
Last month he got hit by a truck and got a $165k insurance payout
Love that income hack
Might have to try doing DoorDash myself