this post was submitted on 13 Jun 2024
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[–] [email protected] 44 points 4 months ago

I wonder how much energy google wastes on its AI service in the regular search just to give me a worse answer than the top results I was actually looking for.

[–] [email protected] 31 points 4 months ago (2 children)

Purchase more carbon credits

Indulgences never really went away did they

[–] [email protected] 5 points 4 months ago
[–] [email protected] 3 points 4 months ago

Unlike purchasing things for imaginary gods, carbon credits could work in theory. At least well enough to be part of the solution. That is, if they were properly regulated around strategies that actually absorb carbon and everyone is forced to be honest and transparent.

Which none of them do, of course.

[–] [email protected] 12 points 4 months ago (2 children)

The fundamental problem is that there’s money to be made by consuming more and more “sustainable” resources. The real solution is to reduce consumption on a global scale.

[–] [email protected] 4 points 4 months ago (2 children)

And how do you intend to "reduce consumption", may I inquire?

[–] [email protected] 8 points 4 months ago (3 children)

Not OC, but some ways to "reduce consumption" are reducing our usage of inefficient technology by replacing it with more energy/resource efficient means.

Examples include replacing individual automobiles with mass transit, building more dense cities to reduce consumption of construction materials/ vehicle miles, and not training massively large language models in facilities that consume more energy than an entire small country.

[–] [email protected] 3 points 4 months ago

... gotta admit this is quite a bit more sound than I anticipated

As for LLMs, people don't really like when others say they can't explore the applications of tech, even if it's unsustainable, so there'f bacaklash ofc

[–] [email protected] 2 points 4 months ago

In real world application, increased efficiency doesn't decrease energy usage nor decrease labor required to live. Tech has gotten more efficient since the industrial revolution, but demand for technology has increased exponentially, energy use is astronomical, and workers still work more hours.

[–] [email protected] 1 points 4 months ago

Always I see this kind of "mixed" good/bad points comments. Wonder what it is and where does it come from...

Now to get on track: The topic is simple ANY computer infrastructure CONSUMES a LOT of POWER so if you want to be easy on the PLANET RESOURCES we need to you use it WISELY

Here are some suggestions:

  • stop people surveillange(aka gathering "advertising" data) and data hording from people devices like smartphones, routers, tv, smart anything like your fridge, ai assistant and other useless shit that only SPIES on you/us/me!

  • stopping running companies servers that do nothing and are useless or created for scopes that are not meaningful or that provide a real use;

  • stop creating and working for companies that do not promote/create technologies that support people and their long run sustainability...

...

I can continue with so many examples...

[–] [email protected] 1 points 4 months ago

There are great ideas about taxing consumption, while getting rid of tax on labour.

[–] [email protected] 2 points 4 months ago (1 children)

This may be true of chopping down forests or mining coal. But we can use nuclear power. And the earth has plenty of water -- does chatgpt need clean drinking water specifically?

[–] [email protected] 4 points 4 months ago (1 children)

Datacenters moved to using evaporative cooling to save power. Which it does, but at the cost of water usage.

Using salt water, or anything significantly contaminated like grey water, would mean sediment gets left behind that has to be cleaned up at greater cost. So yes, they generally do compete with drinking water sources.

There's no way nuclear gets built out in less than 10 years.

[–] [email protected] 1 points 4 months ago

Thank you for explaining that. I didn't understand the need to use drinking water.

[–] [email protected] 8 points 4 months ago

I mean the ibm 1401 used ~13,000 Watts so power hungry is just the way it starts.

[–] [email protected] 6 points 4 months ago

A simple trick would be to stop the wars

[–] [email protected] 5 points 4 months ago (5 children)
[–] [email protected] 13 points 4 months ago (1 children)

Well obviously the little people who live in the computer get thirsty because it's so hot in there

[–] [email protected] 4 points 4 months ago

Oompa-Loompas need their pools

[–] [email protected] 9 points 4 months ago* (last edited 4 months ago) (1 children)

Cooling uses freshwater and often drinking water

[–] [email protected] 6 points 4 months ago* (last edited 4 months ago) (1 children)

That's crazy, they should use heat pumps and maybe underground refrigerant loops instead.

[–] [email protected] 7 points 4 months ago

But that costs money

[–] [email protected] 4 points 4 months ago (1 children)

All data centers use lots of water for cooling.

[–] [email protected] 1 points 4 months ago (1 children)

The water is mostly returned to the watershed, from what I understand. Except the bits that evaporate

[–] [email protected] 3 points 4 months ago (1 children)

They primarily use evaporative cooling. Way less energy use, but no, it doesn't get returned.

[–] [email protected] 1 points 4 months ago
[–] [email protected] 2 points 4 months ago

Also the internet uses massive amounts of water and energy

[–] [email protected] 1 points 4 months ago

chip manufacturing uses water

[–] [email protected] 5 points 4 months ago (1 children)

Ehhh. I get that exploitative techbros and cryptobros have confused the issue by latching onto the AI bubble.

But at the same time generalized artificial intelligence is very likely possible and will be an absolute game-changer if and when it happens. It's easily of similar value to fusion technology.

And it is already bringing truly impressive results into reality - protein folding and diagnostic medicine come to mind.

[–] [email protected] 14 points 4 months ago (1 children)

But at the same time generalized artificial intelligence is very likely possible and will be an absolute game-changer if and when it happens. It’s easily of similar value to fusion technology.

The "AI" we have now is basically advanced Autocomplete.

[–] [email protected] 4 points 4 months ago* (last edited 4 months ago) (2 children)

In the same way that computers are basically advanced abaci.

Don't confuse a simplification made to demonstrate the basic functioning to a layman with how things actually work.

LLM's are neural networks, which are based on a model of brain function. There's little reason to believe that we cannot eventually reach similar levels of effectiveness as human brains.

Hell - reaching the levels of pigeon brains would already be absurdly useful.

[–] [email protected] 6 points 4 months ago (1 children)

While I agree that LLMs can achieve human-tier efficiency at most tasks eventually (some architectural changes will be necessary, but the core approach seems sound), it's wrong to say it's modeled after the human brain. We have no idea how brains work as they're super complex, we're building artificial neural networks from the ground up. AI uses centuries' worth of math, but with our current maths knowledge the code isn't too complicated. Human brains aren't like that, they can't be summed up in a few lines of code because DNA is a huge mess that contains so much more than just "learning", so many inactive or redundant bits and pieces. We're building LLMs with knowledge of how languages work, not how brains work.

[–] [email protected] 1 points 4 months ago (1 children)

Transformers are not built with our knowledge of language. That's a gross approximation -- it would honestly be more accurate to say they're modelled after the human brain than that they're built with our understanding of language. A big problem is that the connection between AI and language is poorly understood -- we can't even understand what the word2vec axes are.

[–] [email protected] 1 points 4 months ago (1 children)

i'm not talking about knowing about how humans perceive/learn languages, i'm talking about language structure. Perhaps it's wrong to call it "how languages work"

[–] [email protected] 1 points 4 months ago

That's what I meant, yes. They're not built based on any linguistic field

[–] [email protected] 6 points 4 months ago

The problem is they're already talking about needing trillions of dollars worth of hardware to make it happen. It's absurd.

[–] [email protected] 1 points 4 months ago* (last edited 4 months ago) (2 children)

Transition to paperless office

The problem is there is people who say bullshit like this unironically.

[–] [email protected] 5 points 4 months ago

And it doesn't even make sense

99% of a modern office's correspondence already goes on online, and only the most important stuff gets backed up on paper copies, often because of regulations that are there for a reason

[–] [email protected] 3 points 4 months ago

Seriously. It isn't helpful towards the environment if we are using so many resources to mine chips and metals and then push it along the internet to then be trained on said AI bots. Would be more sustainable using paper and planting trees smh

[–] [email protected] 1 points 4 months ago

must be adaptable to constant climate change