Estimating AI energy use
spectrum.ieee.org
Estimating AI energy use
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Re: Estimating AI energy use
#2This doesn't include the energy for mining and chip production either. Can you imagine if it did?
Then when you take into account the amount of water used to cool the data centers as well as part o extraction and production process? Things get insane then https://www.forbes.com/sites/cindygordon/2024/02/25/ai-is-ac...
Re: Estimating AI energy use
#3If I'm interpreting this right it's estimating that ChatGPT's daily energy usage is enough to charge just 14,000 electric vehicles - and that's to serve in the order of ~100 million daily users.
Re: Estimating AI energy use
#4If I'm interpreting this right it's estimating that ChatGPT's daily energy usage is enough to charge just 14,000 electric vehicles - and that's to serve in the order of ~100 million daily users.
I was about to post this exact thing.
Seems ... low? And it will only get more efficient going forward.
I don't get why this is supposed to be a big deal for infrastructure since there's definitely way more than 14,000 EVs out there and we are doing well.
Re: Estimating AI energy use
#5If I'm interpreting this right it's estimating that ChatGPT's daily energy usage is enough to charge just 14,000 electric vehicles - and that's to serve in the order of ~100 million daily users.
> We used the figure of 0.34 watt-hours that OpenAI’s Sam Altman stated in a blog post without supporting evidence.
what do you think the odds of this being accurate are?
zero?
Re: Estimating AI energy use
#6[dead]
Re: Estimating AI energy use
#7If I'm interpreting this right it's estimating that ChatGPT's daily energy usage is enough to charge just 14,000 electric vehicles - and that's to serve in the order of ~100 million daily users.
> We used the figure of 0.34 watt-hours that OpenAI’s Sam Altman stated in a blog post without supporting evidence. what do you think the odds of this being accurate are? zero?
Hard to say. Sam wrote that on June 10th this year: https://blog.samaltman.com/the-gentle-singularity
GPT-5 came out on 7th August.
Assuming the 0.34 value was accurate in the GPT-4o era, is the number today still in the same ballpark or is it wildly different?
Re: Estimating AI energy use
#8Earlier quoted context omitted.
> We used the figure of 0.34 watt-hours that OpenAI’s Sam Altman stated in a blog post without supporting evidence. what do you think the odds of this being accurate are? zero?
Hard to say. Sam wrote that on June 10th this year: https://blog.samaltman.com/the-gentle-singularity GPT-5 came out on 7th August. Assuming the 0.34 value was accurate in the GPT-4o era, is the number today still in the same ballpark or is it wildly different?
the "AI" industry have identified that energy usage is going to be used as a stick to beat them with
if I was altman then I'd release a few small numbers to try and get influencers talking about "how little energy chatgpt uses"
and he can never be accused of lying, as without any methodology as to how it was calculated it's unverifiable and completely meaningless
win-win!
Re: Estimating AI energy use
#9If I'm interpreting this right it's estimating that ChatGPT's daily energy usage is enough to charge just 14,000 electric vehicles - and that's to serve in the order of ~100 million daily users.
I was about to post this exact thing. Seems ... low? And it will only get more efficient going forward. I don't get why this is supposed to be a big deal for infrastructure since there's definitely way more than 14,000 EVs out there and we are doing well.
the infrastructure needs to go somewhere. And that somewhere needs to have access to abundant water and electricity. It just so happens those are things humans need too.
Before GenAI we were on our way to optimizing this, at least to the level where the general public can turn a blind eye. It was to the point where the companies would brag about how much efficient they are. Now all that progress is gone, and we're accelerating backwards. Maybe that was all a lie too. But then who's to say the current numbers are a lie too to make the pill easier to swallow.
Re: Estimating AI energy use
#10Earlier quoted context omitted.
I was about to post this exact thing. Seems ... low? And it will only get more efficient going forward. I don't get why this is supposed to be a big deal for infrastructure since there's definitely way more than 14,000 EVs out there and we are doing well.
the infrastructure needs to go somewhere. And that somewhere needs to have access to abundant water and electricity. It just so happens those are things humans need too. Before GenAI we were on our way to optimizing this, at least to the level where the general public can turn a blind eye. It was to the point where the companies would brag about how much efficient they are. Now all that progress is gone, and we're ac…
Hmm, I guess we'll have to do it the slow way ...
What % of EVs on the market is 14,000?