
The hidden environmental costs of a single AI prompt, with Dr. Sasha Luccioni
Pioneers of AI
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Environmental Costs of AI and Semiconductors
This chapter examines the ecological impact of semiconductor manufacturing in Taiwan, focusing on energy consumption and water usage. It discusses the environmental effects of AI model training and the resulting carbon footprints, while also addressing related issues such as electronic waste and the hefty resource demands of data centers. The narrative highlights the ongoing challenges of transparency in energy costs and the evolving landscape of AI technology amidst growing environmental concerns.
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