Salon Limits to growth: Can AI’s voracious appetite for data be tamed? A 2020 report by researchers with Google, OpenAI, Apple, Stanford, the University of California, Berkeley, and Northeastern University found that certain language-based algorithms can essentially be reverse-engineered to output information from their underlying training data, and that larger models are more susceptible to such attacks compared to smaller ones.