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The article questions the financial sustainability of AI subscription services, exploring how much users should pay to cover the costs of running large language models like ChatGPT or Claude.
The article critiques the claim that AI won't replace humans, arguing instead that AI will gradually take over jobs while discussing sustainability concerns in the AI industry.
Terence Tao discusses his views on AI sustainability, reflecting on past predictions and experiences with OpenAI and other tech companies, emphasizing the need for responsible AI integration in mathematics.
A user inquires about the average water consumption per 100 tokens for frontier AI models, highlighting the environmental impact of AI.
This position paper argues that current methods for evaluating AI resource usage are insufficient and advocates for the adoption of life cycle assessment (LCA) to properly account for energy and environmental costs across the entire ML pipeline, from hardware manufacturing to training and inference.