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LLM CO2 emissions estimated to be 'terrifyingly bad'

A Mastodon user has estimated the CO2 emissions associated with Large Language Models (LLMs), finding the results to be alarmingly high. The user's calculations, based on publicly available data, suggest that the environmental impact of LLMs is a significant concern. While acknowledging the potential for error, the user believes their simple calculation method is likely accurate and posits that AI's destructive potential may stem from its carbon footprint rather than existential risk. AI

Summary written by gemini-2.5-flash-lite from 1 sources. How we write summaries →

IMPACT Raises awareness about the significant environmental costs of large language models, prompting operators to consider sustainability.

RANK_REASON The cluster contains a personal estimation and opinion piece about LLM emissions, not a primary research finding or industry-wide announcement.

Read on Mastodon — fosstodon.org →

COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 · [email protected] ·

    I only found conflicting reports and outdated numbers on the # CO2 emissions of LLMs. So I've made some estimations myself. I was hoping with newer numbers I co

    I only found conflicting reports and outdated numbers on the # CO2 emissions of LLMs. So I've made some estimations myself. I was hoping with newer numbers I could feel slightly less bad about my occasional # LLM use. But it's terrifyingly bad. Now I hope I've made a mistake, but…