What happens when artificial intelligence starts eating its own algorithmic tail? In this episode, we dive into the surprisingly real phenomenon of “AI mad cow” where machine learning models begin cannibalizing their own outputs in an endless feedback loop of synthetic content. Join us as we unpack why this isn’t just a quirky tech curiosity, but a genuine threat to AI reliability and human trust. From medical diagnostics gone rogue to the slow erosion of our critical thinking muscles, we explore how our growing AI dependency might be setting us up for some uncomfortable wake-up calls.


