These figures are too cherry picked for the shock value. You could go the opposite end and say that (these are all true, I’ve tried my best to research them):
8.5 Wh (average of all daily queries for a user) is also…
- Equivalent to running a 2000 W hair dryer or a kettle for 20 seconds
- Equivalent to idling a car during a traffic light and not turning off the engine
- A quarter of the energy required to reheat a ready meal in the microwave (roughly 45 Wh)
- The power usage of a Macbook screen over just 30 minutes.
850 MWh (whole consumption of all AI queries in the world) is also equivalent to…
- The power consumption of ONE single cruise ship for 12h (link)
- Charging 0.002% of the 75 million electric cars in the world
- The energy stored in the fuel tanks of 2000 petrol cars - a small stadium car park in Europe
- The amount of energy the largest solar plant in Spain or Germany generate… In a couple of hours.
So yes - AI bad… But for other reasons. This is a diversion. Datacentres powered by coal are bad. Cruise ships are worse.
The problem isn’t that the whole world needs less than a solar farm’s worth of energy for AI. The bigger problem is the social damage of AI - including the fact that this “expansion at all costs” is justifying getting that energy from non-renewable sources.
But seriously, one single cruise ship uses more energy than all of the AI in the world. They serve no useful purpose and there are hundreds of those.
fading_person@lemmy.zip 6 months ago
Considering only the queries ommits all the energy used in training models, scraping and preparing data and all the indirect energy from putting a greater load in servers all around the world from scraping them all the time. oh, and all the energy in the manufacturing processes of the hardware, and from building the servers. We must consider the consumption of the industry as a whole, or we’re being biased as well.
Articles keep showing up explaining how queries aren’t so power-hungry, but the corporations keep draining more and more energy, building more and more power plants that never keep up with the demand, and so on.