RE: https://cosocial.ca/@evan/115580076628853324

This was posted 4 months ago, i.e. forever in LLM time. I would really like to see a fully-worked through analysis of the actual GHG cost of #GenAI in general and for coding applications specifically. Including, obviously, training, data centre infrastructure, silicon fabrication, etc.

The reason: I have trouble reconciling these numbers with the insane volumes of investment capital going into the space.

@timbray my previous job was building greenhouse gas inventories.

Data centres are responsible for about 1% of global greenhouse gas emissions. AI is responsible for about 15% of the data centre emissions, or about 0.15% of global emissions.

People who talk about AI burning up the planet don't spend a lot of time thinking about what's really burning up the planet: fossil fuels for transportation and heating, deforestation, and cattle.

@evan @timbray numbers are pointless without sources?

@ben @timbray

https://www.scientificamerican.com/article/ai-will-drive-doubling-of-data-center-energy-demand-by-2030/

"By comparison, data centres consumed 415 TWh in 2024, roughly 1.5% of the world’s total electricity consumption (see ‘Global electricity growth’)."

Electricity accounts for about 1/3 of global GHGs, so data centres are <1% of global GHGs.

"They found that servers for AI accounted for 24% of server electricity demand and 15% of total data centre energy demand in 2024."

AI Will Drive Doubling of Data Center Energy Demand by 2030

Data centers accounted for about 1.5 percent of global electricity consumption in 2024, an amount expected to double by 2030 because of AI use

Scientific American