A blackity black man started this discussion 2 months ago#130,599
Idea: Zeiss is a German company that manufactures some of the world’s most precise lenses. Zeiss sells these lenses to ASML which uses these lenses in their EUV machines which is used by foundries like TSMC and Samsung to make chips. So what if hypothetically Zeiss stopped making lenses? Could we go back to caveman days? Would this solve climate change?
Anonymous C double-posted this 2 months ago, 1 minute later, 3 hours after the original post[^][v]#1,400,556
It really doesn’t make sense either because AI data centers haven’t resulted in people not existing. The existence of an AI data centers doesn’t mean humans need fewer resources it just means humans still need all the resources they needed before plus an AI data center.
Anonymous B replied with this 2 months ago, 11 minutes later, 3 hours after the original post[^][v]#1,400,557
@1,400,555 (C)
You could run a model on your own computer that writes essays and it would use less resources than idling in an old game for a few minutes.
Anonymous C replied with this 2 months ago, 1 minute later, 4 hours after the original post[^][v]#1,400,570
@previous (B)
I’m not avoiding admitting I’m wrong, I’m not admitting I’m wrong because I’m not wrong. Neural networks are computationally inefficient and computers are less energy efficient than biological neurons. These are just true statements.
Anonymous B replied with this 2 months ago, 1 minute later, 4 hours after the original post[^][v]#1,400,573
@1,400,570 (C)
Are you having trouble following the conversation?
We were comparing the electricity use to write an essay, and leave the MacBook on longer because you were writing it yourself. You said yourself, that would require more than 10 minutes.
How efficient a human brain is doesn't change the fact that humans consume resources in other ways, like having an entire machine turned on and drawing power just to run a document editor.
Anonymous B replied with this 2 months ago, 2 minutes later, 4 hours after the original post[^][v]#1,400,578
@1,400,575 (C)
You have a habit of saying it's bad, without actually pointing out errors.
@1,400,576 (C)
We can include leaving the MacBook on for 5 minutes in addition to the LLM usage, and say it took 20 minutes to write the essay yourself start to finish.
Anonymous C replied with this 2 months ago, 49 seconds later, 4 hours after the original post[^][v]#1,400,581
@1,400,578 (B)
I don’t understand why you’re not really understanding the point I’m making. Using your brain takes energy, using a laptop takes energy, using and LLM takes energy. There are 3 scenarios:
1. You write an essay yourself with a pencil and paper
2. You write an essay on a laptop yourself
3. You write an essay on a laptop using an LLM
In case 1, the energy used is your brain. In case 2, the energy used is your brain plus your laptop. In case 3, the energy used is your brain plus your laptop plus your LLM.
In what way does using the LLM reduce energy used? I don’t see it.
Anonymous C double-posted this 2 months ago, 59 seconds later, 4 hours after the original post[^][v]#1,400,582
Even if using an LLM takes less energy than using a laptop, if you have to have your laptop on to use the LLM, by using the LLM you’re always using more energy by using the LLM than you would be by not using it.
Anonymous C replied with this 2 months ago, 45 seconds later, 4 hours after the original post[^][v]#1,400,585
@1,400,583 (B)
Do you not see how what I just said invalidates the entire point you’ve been trying to make this whole time that using an LLM to write an essay saves energy?
Anonymous C double-posted this 2 months ago, 48 seconds later, 4 hours after the original post[^][v]#1,400,592
You’re trying to argue that doing more computation on a computer takes less energy than doing less computation on a computer. That’s a stupid thing to argue.
Everything consumes resources. Making and shipping school supplies, keeping your Mac on, or using a light to study and write at night.
LLMs don't consume much compared to what they replace, that's why it economical to automate with LLMs.
Human workers need gasoline money for the commute, a climate-controlled building to work in, supplies that are shipped in to help them work better, and they need the whole facility maintained.
When a call center is shut down, and people stop driving to and from there every day because they use bots on server that business consumes significantly less energy which is where the savings comes from.
Anonymous C replied with this 2 months ago, 2 minutes later, 4 hours after the original post[^][v]#1,400,600
@previous (B)
Whenever I talk with you I always have the feeling that you don’t really know what you’re talking about, but you think your arguments are especially clever when they’re really not.
Anonymous B double-posted this 2 months ago, 42 seconds later, 4 hours after the original post[^][v]#1,400,605
@1,400,602 (C)
Pick your comparison and we can. Do you still insist that 5 minutes of a Mac being on + LLM is more than 20 minutes of it being on and no LLM?
Anonymous C replied with this 2 months ago, 35 seconds later, 4 hours after the original post[^][v]#1,400,609
You have this stupid idea that you can decide what’s true and then if you argue for it stubbornly enough that it will magically become true. That’s not how anything works! You can’t make something true by arguing for it when it’s just not true.
Anonymous C replied with this 2 months ago, 24 seconds later, 4 hours after the original post[^][v]#1,400,611
More computation requires more energy, that’s just a basic fact of how computers work, computers use electricity to do math. If you wanna do more math, you’ve gotta use more electricity. It’s not complicated!
Anonymous C double-posted this 2 months ago, 45 seconds later, 4 hours after the original post[^][v]#1,400,615
@1,400,613 (B)
I don’t care about your comparison because you’re arguing for something that’s false. There’s nothing you can say that will make something false into something true.
Anonymous C replied with this 2 months ago, 47 seconds later, 4 hours after the original post[^][v]#1,400,618
@1,400,616 (B)
It doesn’t matter how many watts it uses, if it takes any energy at all to run an LLM on a computer it will always take more energy to make the computer run the LLM than not make the computer run the LLM.
Anonymous C replied with this 2 months ago, 19 seconds later, 4 hours after the original post[^][v]#1,400,620
@1,400,617 (B)
It literally has to be a negative number to make you correct. It doesn’t take a genius to understand why running software on a computer can’t use an amount of energy that’s less than zero.
Anonymous C double-posted this 2 months ago, 1 minute later, 4 hours after the original post[^][v]#1,400,621
@1,400,619 (B)
I fucking explained this to you like 10 times.
If you run an LLM on a MacBook, you’re using more energy than you would be if you were using the MacBook without the LLM, because you can’t use an LLM with your MacBook turned off. How is this complicated for you?
Anonymous C replied with this 2 months ago, 9 seconds later, 4 hours after the original post[^][v]#1,400,625
And if you think that people who use LLMs more often are going to turn their computers off sooner, that isn’t going to happen, because people use their devices for entertainment when they’re not working.
Anonymous C replied with this 2 months ago, 1 minute later, 4 hours after the original post[^][v]#1,400,631
@1,400,629 (B)
1. Having more or less free time doesn’t affect how much energy people will use because our modern lifestyle makes us use energy when where working and when we’re not working.
2. Performing computations always uses energy. If you do something you use more energy than if you do nothing.
Anonymous B replied with this 2 months ago, 1 minute later, 4 hours after the original post[^][v]#1,400,633
@1,400,631 (C)
It uses less than the process involving humans.
Comparing brain energy use is incomplete because you don't include commute, climate control, building extra spaces for working, and other peripheral expenses.
Anonymous C replied with this 2 months ago, 1 minute later, 4 hours after the original post[^][v]#1,400,638
@previous (B)
Computers generate more heat for a smaller amount of computation than a human brain does requiring them to be cooled more than a human brain does.
Anonymous B replied with this 2 months ago, 1 minute later, 4 hours after the original post[^][v]#1,400,641
@previous (C)
Yes, and a data center that spends 3x as much on climate controlling per square foot but replaces 300x the labor is 10x more energy efficient.
Anonymous C replied with this 2 months ago, 3 minutes later, 5 hours after the original post[^][v]#1,400,642
@previous (B)
That number 300x isn’t possible. If the planned AI data centers in Las Vegas will use enough energy to power 3 million homes and the US only has about 300 million people, how will that 300x ratio happen?
Training the first model takes more than running it once it's made. It can be copied for free and running the model afterwards uses less energy than the initial training.
Account for the number of copies and training is a very small cost spread across every use.
Running the model to replace a worker is much more efficient than keeping the worker. Humans do not compare.
If you think your smarter than the investor class, do the math. There's no reasonable calculation that makes humans look more efficient.
ChatGPT was released in 2022. In 2021, before ChatGPT, the average unemployment rate was about 5%. Today in 2025, the unemployment rate in August was 4%.
"So, we’re asking each s-team organization to increase the ratio of individual contributors to managers by at least 15% by the end of Q1 2025. Having fewer managers will remove layers and flatten organizations more than they are today. If we do this work well, it will increase our teammates’ ability to move fast, clarify and invigorate their sense of ownership, drive decision-making closer to the front lines where it most impacts customers (and the business), decrease bureaucracy, and strengthen our organizations’ ability to make customers’ lives better and easier every day. We will do this thoughtfully, and our PxT team will work closely with our leaders to evolve our organizations to accomplish these goals over the next few months."
Basically, Amazon over hired during the pandemic, it made them inefficient, and now they’ve found an excuse to fire people and make it sound like they’re innovating.