What country? Sir Lanka? This isn’t a useful comparison as is, I’ll see if I can dig up actual numbers.
Following for the results of your work here so I can use it in the future.
From this 2023 paper, looks like if all Nvidia AI servers are running 24/7, you’d get an energy consumption of about 5.7–8.9 TWh per year. Nvidia servers make up 95% of the AI market (according to the paper) so that’d be pretty close to what AI servers would consume.
The paper also estimates about 20% of crypto mining GPUs no longer mining etherium converted to AI, which contributed another 16.1 TWh per year.
This doesn’t include some AI, but it should be the majority.
Between those two sources, that gives 23.4 TWh per year. That gives 0.08 exta joules per year per this converter. That’s 22% of Sri Lanka’s energy consumption (which is the lowest country).
So AI in a year uses at much energy as Sri Lanka uses in 3 months. At least in 2023. I’ll see if I can find a more recent study.
So that assumes AI requests use 100 percent of the hardware 100 percent of the time.
There’s plenty of countries missing from that rankings list, and I bet those are the ones using less energy. Especially considering microstates like Vatican, the statement could be technically correct
Miyazaki’s sadness was enough for me. He is right. This is humans losing faith in humans. Trust the machine, not yourself.
His popular AI quote is from 2016 and is missing a lot of context. What he was commenting on isn’t anything like the current generative AI wave. That being said, he doesn’t seem to have publicly rectified it so it might still represent his views.
Agreed. Based on ongoing circumstances and the general response from other high-profile animators in the industry, I am inclined to think that Miyazaki and others at Ghibli are still against AI art. But I also do feel that the quote from 2016 is being reused without the essential context.
Miyazaki opened his response by talking about a friend of his who suffers from a physical disability, which is entirely irrelevant to the topic of generative AI. In context, it was directed at a reinforcement-learning AI model that some artists implemented to try to animate human-like models in unorthodox and unnatural ways, with the proposed utility of using it for zombies or similar. Their suggestion was that these unnatural learned movements are meant to be seen as disturbing and monstrous.
The “insult to life itself” remark was with regards to how they seemed to be making a mockery of disability and, with his friend in mind, was not something he could approve of.
Don’t really see how that doesn’t relate. So its not a reinforcement learning model designed to make animations. Cool, the result is still the same. Humanity losing faith in itself quote really can’t be applied in a different way to only refer to this one specific model that was made to make terrifying animations, it clearly applies to handing all this human made work over to machines that dont understand why we make what we make. The machine, and subsequently the people who created it, were accused by Miyazaki of not knowing suffering. Not having any idea about something they were trying to emulate. This is what struck his core. The lack of empathy or connection to the subject. The root of all of our connections and bonds come from shared experience and empathy. He was speaking on the abandonment of these principles and AI is the epitome of it all.
That stuff Miyazaki said was before generative AI existed. He was commenting on procedural animation being used poorly in a 3D simulation. It’s fair to apply his sentiment to AI, but he himself was not talking about AI.
Those animations were cursed.
I would be interested in seeing the power consumption required to generate for an AI vs an artist, on an individual basis it might not stack up the way people want.
Maybe about 33% less electricity than human digital art? I don’t feel like calculating this myself.
https://www.reddit.com/r/aiwars/comments/11v5ovu/comment/jcsj7uy/
Also I demand that everyone who calls it AI instead of procedural generation gets tazed on the butthole
You’re not gonna save the world by not using ChatGPT, just like you won’t save all those slaves in Zambia by not buying from Apple, and just like you didn’t destroy Twitter by joining Bluesky.
To have real effect requires systemic change, so if you want to actually make a difference you can do things like canvassing, running for local office positions and school boards, educating friends and family about politics, or try killing a few politicians and tech CEOs. You know, basic stuff.
Also I asked Gemini’s Deep Research to research this for me because why not UwU
Executive Summary
Estimates for the energy consumed by ChatGPT during its training and inference phases vary considerably across different studies, reflecting the complexity of the models and the proprietary nature of the data. Training a model like GPT-3 is estimated to require around 1.3 GWh of electricity1, while more advanced models such as GPT-4 may consume significantly more, with estimates ranging from 1.75 GWh to over 62 GWh.2 Models comparable to GPT-4o are estimated to consume between 43.2 GWh and 54 GWh during training.3 These figures represent substantial energy demands, with the training of GPT-4 potentially exceeding the annual electricity consumption of very small nations multiple times over. The energy used during ChatGPT inference, the process of generating responses to user queries, also presents a wide range of estimates, from 0.3 watt-hours to 2.9 watt-hours per query.4 This translates to an estimated annual energy consumption for inference ranging from approximately 0.23 TWh to 1.06 TWh. This level of energy demand can be comparable to the entire annual electricity consumption of smaller countries like Barbados. The lack of official data from OpenAI and the diverse methodologies employed by researchers contribute to the variability in these estimates, highlighting the challenges in precisely quantifying the energy footprint of these advanced AI systems.4
