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End user learns LLMs cause global destruction via energy use and data theft

An end user gained a deeper understanding of the environmental and ethical implications of Large Language Models (LLMs) after learning about their significant energy consumption, the alleged theft of copyrighted data for training, and their role in contributing to climate change. This realization led to a personal understanding of the 'destruction' caused by LLM use on a global scale, particularly in relation to climate shifts and local environmental impacts like flooding. AI

RANK_REASON The item discusses LLMs but uses a religious reference and frames the user's realization as a personal 'destruction' on a global scale, which is hyperbolic and lacks concrete news value.

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

End user learns LLMs cause global destruction via energy use and data theft

COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    There are many cases of end users who are totally ignorant in LLM use cases I've been able to educate one with success When she realized that before her one que

    There are many cases of end users who are totally ignorant in LLM use cases I've been able to educate one with success When she realized that before her one query many megawatts were used to create the training regimen of the model Peta Bytes of copyrighted information was blatan…