No what he’s saying is the models are being trained whether you mess around with the AI as a user either way.
It’s like how I didn’t kill the chicken on the store shelves. Myself purchasing it or otherwise doesn’t revive the chicken. The data has/is already being trained.
That’s a really savvy insight! To expand this analogy further, it’s like your phone or computer gives you a free chicken nugget from a small container attached to the side of the device anytime you search for anything at all. It’s room temperature and often spoiled, it’s your choice whether you eat it or not, but you’re going to get it either way. As such you cannot easily choose to avoid chicken in hopes that that will disincentivize further chicken slaughter.
This is my problem with it as well. I wish it was a tolerable option that I could click when I wanted an AI summary, which would be basically never.
At one point I was looking for a pinout diagram for a chip, and the first result I got was the AI summary, I wanted a picture not text, how’s text helpful? All it did is give me a list of the pins, I know what pins it has, but I want to know where they are.
That’s not even supported by the underlying study.
Google’s emissions went up 48% between 2019 and 2023, but a lot of things changed in 2020 generally, especially in video chat and cloud collaboration, dramatically expanding demand for data centers for storage and processing. Even without AI, we could have expected data center electricity use to go up dramatically between 2019 and 2023.
It’s so fun to waste energy!
AI drives 48% increase in Google emissions
I love those energy hungry assistants! It’s wasting resources even faster than everything before but it’s so fun and useful!
This is a dumb misconception. High emissions and energy consumption is when training models, not during prompts
and models are being trained all the time. It’s the only way to assimilate new data. So your point is moot.
No what he’s saying is the models are being trained whether you mess around with the AI as a user either way.
It’s like how I didn’t kill the chicken on the store shelves. Myself purchasing it or otherwise doesn’t revive the chicken. The data has/is already being trained.
That’s a really savvy insight! To expand this analogy further, it’s like your phone or computer gives you a free chicken nugget from a small container attached to the side of the device anytime you search for anything at all. It’s room temperature and often spoiled, it’s your choice whether you eat it or not, but you’re going to get it either way. As such you cannot easily choose to avoid chicken in hopes that that will disincentivize further chicken slaughter.
False. It’s been shown that resolving prompts also drives a major energy consumption, albeit maybe not so higher than regular search queries.
A prompt is like 1/1000 of the power used as a microwave for the same amount of time.
So the difference between a normal query and an AI query is negligible.
I think you should be more concerned about the automatic ai responses on every other search, instead of people having a bit of fun with these
This is my problem with it as well. I wish it was a tolerable option that I could click when I wanted an AI summary, which would be basically never.
At one point I was looking for a pinout diagram for a chip, and the first result I got was the AI summary, I wanted a picture not text, how’s text helpful? All it did is give me a list of the pins, I know what pins it has, but I want to know where they are.
I am. That’s why I switched to DDG and deactivated it.
That’s not even supported by the underlying study.
Google’s emissions went up 48% between 2019 and 2023, but a lot of things changed in 2020 generally, especially in video chat and cloud collaboration, dramatically expanding demand for data centers for storage and processing. Even without AI, we could have expected data center electricity use to go up dramatically between 2019 and 2023.