Because an object is good at representing a noun, not a verb, and when expressing logical flows and concepts, despite what Java will tell you, not everything is in fact, a noun.
I.e. in OOP languages that do not support functional programming as first class (like Java), you end up with a ton of overhead and unnecessary complications and objects named like generatorFactoryServiceCreatorFactory because the language forces you to creat a noun (object) to take an action rather than just create a verb (function) and pass that around.
I mean, it’s all runing on general purpose hardware. If we decoded 4k video on general purpose hardware we’d use more power than every AI company put together, but once that became popular we developed chips capable of decoding it at the hardware level that consume barely any power.
And the exact same thing is starting to happen with dedicated machine learning chips / NPUs.
This is a bad article, with a misleading headline.
It shows no direct connection between the two, it just talks about how AI models are less power efficient than search engines, and then talks about how all industries including normal, non AI data centers, manufacturing, etc, are all increasing power usage.
Despite its name, the infrastructure used by the “cloud” accounts for more global greenhouse emissions than commercial flights. In 2018, for instance, the 5bn YouTube hits for the viral song Despacito used the same amount of energy it would take to heat 40,000 US homes annually....
So it takes 700,000 litres of water to cool a machine eh? Think about a water cooled PC, now, is that water cooled PC hooked up to your sink and continuously draining water? Or did you fill it up one time and then at the end when you’re done with it, dump the water back down the drain?
700,000 litres of water in a closed loop cooling system is not a problem in any way shape or form.
This is absolutely false. GitHub Copilot (and it’s competitors) alone are already actively helping and assisting virtually every software developer around the world, and highly structured coding languages are just the easiest lowest hanging fruit.
Yes we are heading to a climate disaster because of greed, but that has nothing to do with AI.
First gen, 4k video rendering without hardware support also consumed orders of magnitude more power than any other common thing before it, good thing we banned it, instead of you know, just letting the technology mature and develop for a couple years til we had hardware chips that could do it for almost no power.
Hell, video games are less useful for the world than AI and they consume orders of magnitude more power than ChatGPT, so let’s ban them too right?
So we absolutely should pay special attention to industries that are hogging a lot of energy. Xboxes and especially vibrators spend way less energy than data centers - though again, moving gaming on PCs and developing better dumb gaming terminals to use this computing power while playing with controllers in a living room is an absolute win for the environment.
Bruh, this is flat out a lie.
No, xboxes do not use less power when they are in your house then when they are in a data center. Servers and data center computers (including the xboxs powering xcloud), are typically more power efficient when running in optimized and monitored data centers, where they are liquid cooled with heat pumps, than when running in your dusty ass house running a fan and your houses’ AC to cool them.
The power consumption of video games, if you add up every console while playing them, every server running the multiplayer and updates, and every dev machine crunching away, is a massive waste of economically unproductive energy.
The person above is right. If you want to address the climate crisis, slap a carbon tax on the cost of pollution, don’t artificially pick and choose what you think is worthwhile based on your gut.
I mean ChatGPT can’t do it but humans can and are… Why do you think Microsoft / Apple / Google are all introducing NPU / AI coprocessing chips?
The new ARM powered surface laptops that consume like 30W of power are more capable of running an AI model than my gaming PC from 2 years ago that consumes ~300W of power.
Yes and manufacturing an Xbox for every single household, boxing it and shipping it to them, and then having it sit unused for 90% of the time, has a much bigger carbon cost than manufacturing a fraction of the number of Xboxes, shipping them all in bulk to the same data center, and then having them run almost 24/7 and be shared amongst everyone.
And the same thing about optimizing gaming hardware is true for AI. The new NPUs in the surface laptops can run AI models on 30W of power that my 300W GPU from 2 years ago cannot.
Yes, electricity still costs companies money so at a base level they are incentivized to minimize its usage, and then on-top of that carbon taxes should be helping to cover the environmental and incentive costs for further energy reducing innovations.
If you just want to ban electricity consuming industries I don’t know why you’d start with AI, which is brand new and has genuine useful value to society, and not say, something like advertising which is just an economic distortion and massive drain on society.
Dude, if you’ve never used copilot then shut up and don’t say anything.
Don’t pretend like you write code that doesn’t benefit from AI assisted autocomplete. Literally all code does. Just capitalization and autocompleting variable names with correct grammar is handy, let alone literally any time there’s boiler plate or repetition.
Lmao, the idea that you having an NDA makes you work on super elite code that doesn’t benefit from copilot if hilarious. Ive worked on an apps used by hundreds of millions of people and backend systems powering fortune 10 manufacturers, my roommate is doing his PhD on advanced biological modelling and data analysis, copilot is useful when working on all of them.
Every story is somewhat about wealth distribution. Your argument is fundamentally that AI is not worth it to spend the resources we are spending on it. If wealth was distributed more fairly, that would not be an argument since the money and carbon taxes spent on it would be an accurate representation of the will of the average person and its utility to them. That argument makes the most sense in the context of an inordinate amount of r sources being controlled and directed by the wealthy.
So if this technology has major problem when combined with capitalism, then we should either stop using capitalism, or stop using the technology - or both, until we make up our mind which we prefer to keep!
Except that it doesn’t. AI is no more frivolous and power hungry than any other industry. Video games consume far more power for instance and provide no economic value back.
Sure, a lot of computing power goes into, say, console gaming, but that’s not what I originally talked about. I talked about data centers training AI models and requiring ever more power and hardware as compared to what we expend on gaming, first of all.
But they don’t. Right now the GPU powering every console, gaming PC, developer PC, graphic artist, twitch streamer, YouTube recap, etc. consumer far far more power than LLM training.
And LLM training is still largely being done on GPUs which aren’t designed for it, as opposed to NPUs that can do so more efficiently at the chip level.
I understand the idea that AI training will always inherently consumer power because you can always train a model on bigger or more data, or train more parameters, but most uses of AI are not training, they’re just users using an existing trained model. Google’s base search infrastructure also took a lot more carbon to build initially than is accounted for when they calculate the carbon cost of an individual search.
If capitalism is a forest fire, than the industrial revolution was like hitting a cache of kerosene, computers were like hitting a cache of gasoline, and AI is like hitting a smaller pile of gasoline. Yes it will accelerate things, but that’s it. It’s not causing any new effects we haven’t already seen.
I’m just saying that at that point, when we’re talking maybe 1% of 700,000 litres across an entire industry, then we have a lot of lower hanging fruit to save water. That amount of water is just flat out wasted at like a single industrial plant on a Tuesday.
Oh do tell us again how you haven’t used copilot without saying the words ‘i haven’t used copilot’. Stackoverflow’s professional developer survey found that 70% of devs are using AI assistants, you think none of them have heard of an IDE or Intellisense before?
So my company decided to migrate office suite and email etc to Microsoft365. Whatever. But for 2FA login they decided to disable the option to choose “any authenticator” and force Microsoft Authenticator on the (private) phones of both employees and volunteers. Is there any valid reason why they would do this, like it’s...
Switching to OCaml bois (lemmy.world)
US Slows Plans To Retire Coal-Fired Plants as Power Demand From AI Surges (news.slashdot.org)
The ugly truth behind ChatGPT: AI is guzzling resources at planet-eating rates (www.theguardian.com)
Despite its name, the infrastructure used by the “cloud” accounts for more global greenhouse emissions than commercial flights. In 2018, for instance, the 5bn YouTube hits for the viral song Despacito used the same amount of energy it would take to heat 40,000 US homes annually....
Can I refuse MS Authenticator?
So my company decided to migrate office suite and email etc to Microsoft365. Whatever. But for 2FA login they decided to disable the option to choose “any authenticator” and force Microsoft Authenticator on the (private) phones of both employees and volunteers. Is there any valid reason why they would do this, like it’s...