Generative AI and Climate Change Are on a Collision Course

Quick Summary:

From energy to resources, data centers have grown too greedy.

In reality, AI’s current “bigger is better” paradigm—epitomized by tech companies’ pursuit of ever bigger, more powerful large language models that are presented as the solution to every problem—comes with very significant costs to the environment.

My latest research shows that switching from older standard AI models—trained to do a single task such as question-answering—to the new generative models can use up to 30 times more energy just for answering the exact same set of questions.

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Article Details

Author / Journalist: Sasha Luccioni

Category: TechnologyEconomy

Markets: United StatesIrelandSpainTaiwan

Topics: Science / Environment Science

Source Website Secure: Yes (HTTPS)

News Sentiment: Neutral

Fact Checked: Legitimate

Article Type: News Report

Published On: 2024-12-18 @ 09:00:00 (14 hours ago)

News Timezone: GMT +8:00

News Source URL: wired.com

Language: English

Article Length: 996 words

Reading Time: 6 minutes read

Sentences: 40 lines

Sentence Length: 25 words per sentence (average)

Platforms: Desktop Web, Mobile Web, iOS App, Android App

Copyright Owner: © Wired

News ID: 24535903

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Official Website: wired.com

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