24/06/2025
You give the kids toys to play with…
We have ruined it!
The ‘collapse’ is near.
🤖😵🪦.
The widespread use of ChatGPT and similar generative AI models has led to growing concern among experts about the "pollution" of the internet with AI-generated content.
This content, often indistinguishable from human writing, is increasingly being scraped and reused in training future AI models.
The result is a phenomenon known as model collapse, where AI models begin to lose originality, accuracy, and usefulness because they are being trained on synthetic content produced by other models rather than genuine human knowledge.
Studies published in top journals like Nature have confirmed that training AI systems on data generated by older AI can degrade their performance over time.
Major publications including Scientific American, Business Insider, and the Financial Times have echoed these concerns, noting that this cycle could significantly hinder future AI development if left unchecked.
To address the issue, researchers and companies are exploring methods such as watermarking AI outputs, detecting synthetic text, and preserving high-quality human-created datasets to ensure that future models are trained on authentic and diverse information.
