just to set the record straight:
“For example, having DeepSeek R1 (70 billion parameters) answer 600,000 questions would create CO2 emissions equal to a round-trip flight from London to New York. Meanwhile, Qwen 2.5 (72 billion parameters) can answer more than three times as many questions (about 1.9 million) with similar accuracy rates while generating the same emissions.”
i’d say that makes the average usage for personal reasons an non-issue.
Wow tokens exist.
See i fit that in 3 words.
Think of the saved CO2 compared to writing an entire article!
Yes, blame the consumers yet again when we all know corporations are the biggest climate offenders.
And won’t stop putting this slop in everything.
When you do 0 AI prompts, they all cause the same amount of emissions, which is 0.
Also true: When you do 0 AI prompts, they all cause the same amount of emissions, which is 999999999 gigajoules.
Does this also apply to AI models I run locally on my computer?
That’s a good question no one else seems to be asking. When you run local prompts, you’re using more battery on your laptop or power from your PSU, but both of those are limited by their relatively small power consumption (when compared to server farms). Therefore, it could be likened to encoding heavy video or exporting complex blender models. Are you using more electricity? Yes. Is it city-eroding amounts more? Not even close.
Lemmy wants me to believe that AI is the danger for climate change. This is like drinking through paper straw while the pollution comes from mega-factories who dump their waste in the river.
So AI is the problem… huh… and not the thousands of missiles dropped in Ukraine, Gaza, Iran and the Occupied Terrorist Zionazi Land.
Cool I guess, AI Bad!
Shockingly, several things can be bad at the same time. What do you think will happen to places that already tend to struggle with heat (like quite a few places in the middle east), if they get even warmer? What will happen to the people that live there? Will they be able to move to colder places? Or will they simply run into borders? Borders, which are protected by more and more money and weapons (and drones controlled by AI, funny, huh?)?
You can run a model locally on your phone and it will answer most prompts without breaking a sweet, it’s actually way less energy than googling and loading the content from a website that’s hosted 24/7 just waiting for you to access the content.
Training a model is expensive, using it isn’t.
Nice claim you have there. Do you have anything to back that up?
If it’s so easy, it shouldn’t be hard for you to link a model like that.
Can you link me to what model you are talking about? I experimented with running some models on my server, but had a rather tough time without a GPU.
I would like to learn about this a bit more, I keep hearing it in conversations here and there. Do you have links around studies/data on this?
Humans love to live in places that aren’t suitable for their life.
People in some parts of Europe, Russia, North America live in places where without heating, they would simply cease to exist. Same for places in the middle east, people in Qatar and UAE live in places where without AC, they would cease to exist.
Both ways of living is harmful for environment. Maybe we should reevaluate where we live.
Did you, by any chance, ever wonder, why people deal with hunger instead of just eating cake?
They should live in temperate climate instead, so irresponsible, they need to let go of the past and more forward, to greener places.
Is it just me or is that stupid way to measure consuming computing power? The CPUs themselves doing computations do not produce any pollutants (unless you calculate how much of that is created during manufacturing ang logistics, which I doubt). It’s the (without question stupidly large) energy consumption which might, but big players are at least greenwashing their actions by using renewable energy more and more.
Why not create comparison like “generating 1000 words of your fanfiction consumes as much energy as you do all day” or something more easily to compare.