cross-posted from: https://lemmy.ml/post/20289663
A report from Morgan Stanley suggests the datacenter industry is on track to emit 2.5 billion tons by 2030, which is three times higher than the predictions if generative AI had not come into play.
The extra demand from GenAI will reportedly lead to a rise in emissions from 200 million tons this year to 600 million tons by 2030, thanks largely to the construction of more data centers to keep up with the demand for cloud services.
“The only way to interpret statistics is with a healthy dose of skepticism and a thorough understanding of their context.”
While people in this thread jump at the opportunity for this slice of statistics to affirm their confirmation biases, intelligent people will ask what the total carbon dioxide output looks like by comparison.
You’re quick to imply that this study is bullshit, yet offer no counter argument except “believing statistics is for losers lul”
So where are your sources to refute the article?
Ita also trivial to come to the same conclusion at a smaller scale.
You can run a LLM at home and see the amount of GPU & power resources it takes to compute the larger models. If I ran that full time, your household bill will most likely be 3x alone.
Never said the study was bullshit. I just said to look at the bigger picture.
I would show you how Google works and provide an article, but your reading comprehension leads me to believe you’d come up with another straw man fallacy to support your confirmation bias.
Oh fuck off already, nobody cares.
Do we have an iamverysmart community? We could use one.
Lol you cared enough to respond. Sorry you’re too stupid to hold a conversation.
Can’t be logical here. This is a topic that’s like discussing immigration with Republicans.
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Something like that. I see a weird pattern with articles about AI and articles about immigration in right wing circles. They’re the same. Like the themes and focus in the headlines for each all seem to be reused