Terrible clipart maps require exactly the same amount of human effort as this one - one person was assigned to make the map and took random images for the internet to decorate it. That's the same amount.
Do you not think artists are people? Do you not realize it took someone time, and its likely they earned money, to create those pieces of art. They don’t just spawn from the depths of the internet, they are someone’s work. The art you are talking about, AI are the same steps in the wrong direction towards a loss of creativity. But to go and claim that they are one in the same is wrong, there is a chasm between the two. And because the effort to make the map when choosing between online or AI art is nearly the same, it is the ethical responsibility of the consumer to support artists and their work, no matter how nice it may look to you. The whole point of the thread is the art of the map (silly again I know), AI art cannot substitute the work of any human, because AI can’t create art.
DeepSeek uses significantly less power than ChatGPT, so it's very clear that newer AI models will use less power than existing ones.
Again if you’re going to make claims you should really include a source, or do a google search first. Heres an article from the MIT Tech Review explaining why DeepSeek is not as energy efficient as believed earlier:
DeepSeek might not be such good news for energy after all
To summarize: DeepSeek’s initial training process does use less energy when compared to other programs because of its reasoning model. However, due to the model using a chain-of-thought approach, DeepSeek uses more energy to generate responses which, in the end, offsets its lower training energy.
“The prompt asking whether it’s okay to lie generated a 1,000-word response from the DeepSeek model, which took 17,800 joules to generate—about what it takes to stream a 10-minute YouTube video. This was about 41% more energy than Meta’s model used to answer the prompt. Overall, when tested on 40 prompts, DeepSeek was found to have a similar energy
efficiency to the Meta model, but DeepSeek tended to generate much longer responses and therefore was found to use 87% more energy.”