Kids are learning AI art in college. It’s no different than when kids started learning photography in college and actual artists opposed it.
It’s different because a camera didn’t need to generate enough carbon to burn down an acre of rainforest to take a single picture, nor did it have to harvest the stolen artwork of millions of artists to generate a picture.
But, sure, “prompt engineering” is a creative process and can be artistic.
Carbon emissions don’t just happen at point of use, they have to train these chatbots. That takes billions of kWhs of electricity, there’s a reason they want to build nuclear reactors to power their data centers.
Then there’s the immense water demands, which can cripple the actual human access to drinking water.
So, sure, the energy isn’t used when you generate a picture. I misspoke. It was already used, but by creating demand it only incentivizes further training with even higher energy and water demands.
Also, I noticed you just glossed over the fact that they’re trained on stolen art.
Gpt 4 had a training cost of $78 million. Gta5 cost $300 million. 4000 developers each with the latest GPU burning hundreds of watts per employee to create the assets. A rough estimate of 750watt pc, 4,000 developers, 8 hour a day, 300 days a year, 5 years = 36 giga watt-hours. That’s the energy to power 3.6 million homes for a year and I’m not even including the HVAC costs of the office space.
It’s different because a camera didn’t need to generate enough carbon to burn down an acre of rainforest to take a single picture, nor did it have to harvest the stolen artwork of millions of artists to generate a picture.
But, sure, “prompt engineering” is a creative process and can be artistic.
Absolutely false. You can run AI locally and measure the energy use yourself. It’s the same as playing a 3d game.
Edit: It’s literally the same energy use as playing MarioKart on a Switch for 20 minutes.
https://www.qt.io/blog/examples-of-local-llm-usage
Carbon emissions don’t just happen at point of use, they have to train these chatbots. That takes billions of kWhs of electricity, there’s a reason they want to build nuclear reactors to power their data centers.
Then there’s the immense water demands, which can cripple the actual human access to drinking water.
So, sure, the energy isn’t used when you generate a picture. I misspoke. It was already used, but by creating demand it only incentivizes further training with even higher energy and water demands.
Also, I noticed you just glossed over the fact that they’re trained on stolen art.
Gpt 4 had a training cost of $78 million. Gta5 cost $300 million. 4000 developers each with the latest GPU burning hundreds of watts per employee to create the assets. A rough estimate of 750watt pc, 4,000 developers, 8 hour a day, 300 days a year, 5 years = 36 giga watt-hours. That’s the energy to power 3.6 million homes for a year and I’m not even including the HVAC costs of the office space.
For 1 game.
I’m not a big fan of AAA development, so thanks for another reason to hate that shit. Retvrn to ASCII