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Mistral AI submits lifecycle analysis for one of their model (mistral.ai)
2 points by phtrivier 5 months ago | hide | past | favorite | 2 comments


From the text:

the marginal impacts of inference, more precisely the use of our AI assistant Le Chat for a 400-token response - excluding users’ terminals:

- 1.14 gCO₂e,

- 45 mL of water,

- and 0.16 mg of Sb eq.


What's missing is a comparison with hiring someone to write that page of text. I.e., how much excess CO2 would a human produce writing the same page of text vs doing nothing for the same amount of time (and that's not zero - ask any freediver about their ways to reduce CO2 production in the brain), and so on.




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