Earlier quoted context omitted.
I'm not sure your premise even makes any sense here, because it doesn't take an artist much more resources to produce art then it took them to just exist for the same amount of time. They're still just eating, sleeping, making basic usage of the computer, using heating and light, and so on either way. Whereas someone using dall-e is doing all of that plus relying on the immense training costs of the artificial intell…
This back of the napkin estimate for GPT-4 emissions costs is too high by orders of magnitude. Your estimate is that training it emitted about as much as CO2 as 5.38 billion average humans living their lives for a year did. With a world population of 8 billion, it would mean that GPT-4 training was equivalent to 0.67 years of total anthropogenic CO2 emissions. Since GPT-4 CO2 emissions all come from manufacturing har…
I still think my point about imagining that using ML models decreases emissions versus a human doing the same task still stands though — humans don't produce that much more or less emissions depending on what task they're doing, and they'll be existing either way, and probably using the computer the same amount either way, just not spending aa much time on that one task, so I don't see how you can argue using an ML model to write or draw something uses less CO2 than a human doing it. You can't count the amount of CO2 the human takes to exist for the amount of time it takes for them to do the task as the CO2 cost of the human doing the task because humans don't stop existing and taking up resources if they're not doing a task unlike programs. And you can't really compare the power used to run the ML model to the power used by the computer the human is using during the time it takes them to do the task either, since the human will need to use the computer to access your ML model, interact with it to define the prompt, edit the results, etc (and also bc again they'll probably just shift any time saved doing that task on the computer to another task on the computer). Additionally of course there's the fact that you can't really use large language models to replace writers or machine learning image generation tools to replace artists if you actually care about the quality of the work.