What if artificial intelligence was slowly drifting away from reality by feeding on… itself? This is the alarming paradox of data autophagy: when AI models reuse their own outputs, they create a vicious cycle.
The consequences?
A gradual loss of diversity and nuance
A “copy of a copy” effect that degrades quality
Search engines increasingly filled with synthetic content
With 90% of online content potentially AI-generated by 2026, how can we prevent a massive informational collapse?
Solutions exist:
Diversifying data sources to avoid algorithmic inbreeding
Developing self-correcting mechanisms to preserve creativity
Striking the right balance between artificial intelligence and human intervention
Can we still control the evolution of AI models? More importantly, how do we stop AI from running in circles?