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A debate is brewing within the AI community about the responsible allocation of increasingly scarce computing resources. A recent discussion thread on Reddit’s r/artificialintelligence highlights concerns that large language models (LLMs) such as ChatGPT, Gemini, and Grok may be disproportionately consuming these resources, potentially exacerbating environmental problems, particularly water scarcity due to the cooling demands of data centers.

The original poster initiated the conversation by questioning whether the current prioritization of LLMs for general queries is justified, suggesting that enterprise applications across sectors like education, government, and business should receive greater access. Participants in the thread emphasize the critical need for increased transparency regarding how AI compute resources are being utilized and the resulting environmental footprint. The conversation calls for greater accountability from AI developers and organizations regarding their resource consumption practices. Readers can find the full Reddit discussion at [https://old.reddit.com/r/artificial/comments/1p92xq5/question_do_we_know_where_and_for_what_the_bulk/]