Reacción a "Generative AI expansion could create up to five million tonnes of e-waste"

The conclusions are supported by best available data in the public domain and scientifically valid methods.  

While many research studies have estimated and highlighted the overall scale of e-wastes, this study specifically examines e-wastes produced by generative AI, one of the fastest-growing applications.  

The study uses Nvidia's DGX H100 server as a benchmark to estimate e-wastes of future-generation servers. Although predicting future hardware developments is challenging, I consider the paper’s projection a reasonable gauge of the e-waste likely to result from generative AI. 

E-waste is a critical yet often overlooked issue when considering the future societal impacts of generative AI. This paper brings attention to the e-waste generated by generative AI and, I believe, will invite further discussion. Importantly, it highlights the crucial role of a circular economy in achieving truly sustainable AI.