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![chandrarsrikant Avatar](https://lunarcrush.com/gi/w:24/cr:twitter::16362321.png) Chandra R. Srikanth [@chandrarsrikant](/creator/twitter/chandrarsrikant) on x 147.3K followers
Created: 2025-07-21 04:55:25 UTC

As content created by AI floods the internet, future models are at risk of being trained on synthetic data rather than human content. According to a report from AI content detection firm Copyleaks, there's been an XXXXX percent jump in AI-generated web content since ChatGPT-3.5 launched in late 2022.

A 2023 study from researchers at Oxford and Cambridge calls this “model collapse”. The paper describes model collapse as a degenerative loop where models trained primarily on AI-generated content begin to lose accuracy and originality.

“We discover that indiscriminately learning from data produced by other models causes ‘model collapse' — a degenerative process whereby, over time, models forget the true underlying data distribution, even in the absence of a shift in the distribution over time,” the study said.

![](https://pbs.twimg.com/card_img/1947157927032397824/LtobCU38?format=jpg&name=800x419)

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[Post Link](https://x.com/chandrarsrikant/status/1947158450007663057)

[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]

chandrarsrikant Avatar Chandra R. Srikanth @chandrarsrikant on x 147.3K followers Created: 2025-07-21 04:55:25 UTC

As content created by AI floods the internet, future models are at risk of being trained on synthetic data rather than human content. According to a report from AI content detection firm Copyleaks, there's been an XXXXX percent jump in AI-generated web content since ChatGPT-3.5 launched in late 2022.

A 2023 study from researchers at Oxford and Cambridge calls this “model collapse”. The paper describes model collapse as a degenerative loop where models trained primarily on AI-generated content begin to lose accuracy and originality.

“We discover that indiscriminately learning from data produced by other models causes ‘model collapse' — a degenerative process whereby, over time, models forget the true underlying data distribution, even in the absence of a shift in the distribution over time,” the study said.

XXXXX engagements

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