The copy of a copy: why the next AI might get worse
For years, AI got better by training on the human internet. Now the internet is filling with AI-generated content, so the next models increasingly learn from the last ones. Copy a copy enough times and quality degrades. It’s called model collapse, and it’s the quiet risk nobody puts in a keynote. The paradox of 2027: the more AI content we make, the harder it gets to train good AI. If everything online is AI-made, where does the next model learn what real looks like?