Capital de TokensModel Collapse: When AI Feeds on Itself Until It Degrades
Watch on YouTube 74% of new content on the internet is already generated by AI—and that's poisoning the training data for the next generation of language models. We explore the phenomenon of model collapse: what it is, why Google DeepMind documented it in Nature, and why expert human knowledge becomes the scarcest resource of
74% of new content on the internet is already generated by AI—and that’s poisoning the training data for the next generation of language models. We explore the phenomenon of model collapse: what it is, why Google DeepMind documented it in Nature, and why expert human knowledge becomes the scarcest resource of the AI era.
We analyze Apple’s paper on reasoning collapse, the argument that mixing synthetic and human-generated data reduces the risk, and the industry’s central paradox: AI needs more specialized human work, not less. Model collapse isn’t just a technical problem—it’s a threat to the information ecosystem and collective thought.
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🤖 AI-generated content: the script, voices, and images in this episode were produced using artificial intelligence tools.
📷 Images:
- “Data storm” — Herkie (CC BY-SA 2.0) — https://www.flickr.com/photos/44038067@N00/450303689
- “Network” — Kevin Doncaster (CC BY 2.0) — https://www.flickr.com/photos/52766811@N06/28133105145
- “Networked” — jessicafm (CC BY 2.0) — https://www.flickr.com/photos/94953676@N00/88652740
- “CAT5 Cable” — nrkbeta (CC BY-SA 2.0) — https://www.flickr.com/photos/95021520@N00/2255968144
- “All Systems GO!” — andrewfhart (CC BY-SA 2.0) — https://www.flickr.com/photos/83711730@N06/8106200690
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