0biodiversity

That it is reported that the global AI footprint is already at 8% of aviation footprint [1] is indeed rather alarming and surprising.

Research on this (is it mainly due to training? inefficient implementations? vibe coders as you say? other industrial applivations? can we verify this by the number of gpus made or money spent? etc) is truly necessary and the top companies must not be allowed to be not transparent about this.

[1] https://www.theguardian.com/technology/2025/dec/18/2025-ai-b...

> But I am fairly certain that someone whose job is prompting all day will generally spend several plane trips worth of CO₂.

I dont know about gigawatts needed for future training, but this sentence about comparing prompts with plane trips looks wrong. Even making a prompt every second for 24h amounts only for 2.6 kg CO2 on some average Google LLM evaluated here [1]. Meanwhile typical flight emissions are 250 kg per passenger per hour [2]. So it must be parallelization to 100 or so agents prompting once a second to match this, which is quite a serious scale.

[1] https://cloud.google.com/blog/products/infrastructure/measur...

[2] https://www.carbonindependent.org/22.html