Estimating the Increase in Emissions caused by AI-augmented Search
Wim Vanderbauwhede
TL;DR
This paper estimates that AI-augmented search significantly increases energy consumption, with an increase of 60-70 times compared to conventional search, based on recent models and energy data.
Contribution
It provides an updated estimate of the energy increase caused by AI-augmented search using recent large language models and energy consumption data.
Findings
Energy demand increases by 60-70 times with AI-augmented search.
Based on recent estimates of energy use for BLOOM and GPT-3.
Highlights environmental impact of AI-enhanced search methods.
Abstract
AI-generated answers to conventional search queries dramatically increase the energy consumption. By our estimates, energy demand increase by 60-70 times. This is a based on an updated estimate of energy consumption for conventional search and recent work on the energy demand of queries to the BLOOM model, a 176B parameter model, and OpenAI's GPT-3, which is of similar complexity.
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Taxonomy
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