[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.]  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.  XXXXX engagements  **Related Topics** [coins ai](/topic/coins-ai) [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.]
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
Related Topics coins ai
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