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Comment on Indie devs have begun adding a no generative AI stamp to their store pages

Same vibes as “if you learned to draw with an iPad then you didn’t actually learn to draw”.

Or in my case, I’m old enough to remember “computer art isn’t real animation/art” and also the criticism assist Photoshop.

And there’s plenty of people who criticized Andy Warhol too before then.

Go back in history and you can read about criticisms of using typewriters over hand writing as well.

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finitebanjo@lemmy.world ⁨4⁩ ⁨days⁩ ago
None of your examples are even close to a comparison with AI which steals from people to generate approximate nonsense while costing massive amounts of electricity.

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- Lumiluz@slrpnk.net ⁨4⁩ ⁨days⁩ ago
  Have you ever looked at the file size of something like Stable Diffusion?
  
  Considering the data it’s trained on, do you think it’s;
  
  A) 3 Petabytes B) 500 Terabytes C) 900 Gigabytes D) 100 Gigabytes
  
  Second, what’s the electrical cost of generating a single image using Flux vs 3 minutes of Balder’s Gate, or similar on max settings?
  
  Surely you must have some idea on these numbers and aren’t just parroting things you don’t understand.
  
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  - finitebanjo@lemmy.world ⁨4⁩ ⁨days⁩ ago
    What a fucking curveball joke of a question, you take a nearly impossible to quantify comparison and ask if its equivalent?
    
    Gaming:
    
    A high scenario electricity consumption figure of around 27 TWh, and a low scenario figure of 14.7 TWh
    
    North American gaming market is about 7% of the global total
    
    then that gives us a very very rough figure of about 210-285 TWh per annum of global electricity used by gamers.
    
    AI:
    
    The rapid growth of AI and the investments into the underlying AI infrastructure have significantly intensified the power demands of data centers. Globally, data centers consumed an estimated 240–340 TWh of electricity in 2022—approximately 1% to 1.3% of global electricity use, according to the International Energy Agency (IEA). In the early 2010s, data center energy footprints grew at a relatively moderate pace, thanks to efficiency gains and the shift toward hyperscale facilities, which are more efficient than smaller server rooms.
    
    That stable growth pattern has given way to explosive demand. The IEA projects that global data center electricity consumption could double between 2022 and 2026. Similarly, IDC forecasts that surging AI workloads will drive a massive increase in data center capacity and power usage, with global electricity consumption from data centers projected to double to 857 TWh between 2023 and 2028. Purpose-built AI nfrastructure is at the core of this growth, with IDC estimating that AI data center capacity will expand at a 40.5% CAGR through 2027.
    
    Lets just say we're at the halfway point and its 600 TWhper anum compared to 285 for gamers.
    
    So more than fucking double, yeah.
    
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    Lumiluz@slrpnk.net ⁨4⁩ ⁨days⁩ ago
    But we’re not comparing the global energy use of LLMs, diffusion engines, other specialized AI (like protein foldings) etc to ONLY the American gaming market.
    
    The conversation was specifically about image generative AI. You can stop moving the goalposts and building a strawman now, and while at it answer the first question too.
    
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endeavor@sopuli.xyz ⁨4⁩ ⁨days⁩ ago
As an artist who is learning to code its different. It is night and day wether you have access to undo and HSV adjust but still must nail color, composition, values, proportion, perspective etc. Especially when a ton of shortcuts are also available to trad artists who can just paint over a projection. Only thing besides saving tons of money and making it easier to do your daily practise, digital art will also give you is more noob traps like brushes and then the lack of confidence from the reliance on undo and other tools like that. I transferred to traditional oil paints just fine cause the fundamentals are the one that separates the trash from the okay and above.

It is night and day when you ask ai how to make a multiplication table vs apply what you have learned previously to learn the logic behind making it yourself. Using AI wrong in programming means you don’t learn the fundamentals aka you don’t learn to program. Comparing using AI to learn to program with learning to paint on ipad is wrong. Comparing using AI to learn to program with using AI to make art for you is more apt.

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- Lumiluz@slrpnk.net ⁨4⁩ ⁨days⁩ ago
  You’re right, my bad. I should have worded that reply better.
  
  I meant it as a tool to help you code etc it’s useful, especially if you know some coding. It can help you to say finish a game by coding mechanics you don’t quite know how to make work which you can then fix up yourself with the desired parameters etc.
  
  If it helps with finishing your idea of a game (especially if it’s something like the first game you’ve ever made), it’s useful in order to learn some of the workflow involved in making a game.
  
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Lemjukes@lemm.ee ⁨4⁩ ⁨days⁩ ago
Grumpy fucks sure love pullin that ladder up behind ‘em.

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