Live data from Hacker News

How to feed all the power-hungry AI data centers

caseyhandmer.wordpress.com

21–30 of 63 posts

Re: How to feed all the power-hungry AI data centers

#21
post #18
post #8

Earlier quoted context omitted.

It’s always interesting to see these ideas on a tech forum. Should we as humanity stop right here? Draw a line in the sand and not do anything new? Maybe we should move backwards, skipping the Industrial Revolution and go back to each individual growing their own food? This is a serious question. What do you propose? Because you are not able to pick and choose what humanity tries out, so shall we stop entirely?

We should invent solutions for problems that we have, instead of wildly trying to apply this tech to everything we can think of. We are skipping the benefit/cost considerations.

Is AI not a solution for our problems? I can imagine a declining population, a younger generation, that does not want to reproduce, neither working off the available work. We need a solution for that.

So we need systems, that learns human knowledge, refines it, makes it better and takes over all of the work.

And for programmers: is sitting not the new cig smoking and drinking alcohol for early death?

Re: How to feed all the power-hungry AI data centers

#22
post #21
post #18

Earlier quoted context omitted.

We should invent solutions for problems that we have, instead of wildly trying to apply this tech to everything we can think of. We are skipping the benefit/cost considerations.

Is AI not a solution for our problems? I can imagine a declining population, a younger generation, that does not want to reproduce, neither working off the available work. We need a solution for that. So we need systems, that learns human knowledge, refines it, makes it better and takes over all of the work. And for programmers: is sitting not the new cig smoking and drinking alcohol for early death?

What about education for all, better healthcare and a solution to hunger. Or discriminations? I’m not seeing anything trying to solve that in the AI space right now. It’s all about replacing workers and artists.

Re: How to feed all the power-hungry AI data centers

#23

Earlier quoted context omitted.

Even if the models aren't gargantuan, millions of people using AI applications is going to burn a lot of power.

I still haven’t seen a use case that will make AI adopted by the masses I think it’s still mostly hot air. It’s good for what it is for office jobs and higher education, but only for specific tasks and it has to be triple checked. Just yesterday at work I asked it for a Powershell script to upload a local file to S3 and it hallucinated a method. The whole script is like 10 lines. How could it mess that up, but meanwh…

I've had GPT4 produce quite a bit of useful code, and it's indispensable when working with new libraries or in new domains.

Re: How to feed all the power-hungry AI data centers

#24

Earlier quoted context omitted.

Even if the models aren't gargantuan, millions of people using AI applications is going to burn a lot of power.

I still haven’t seen a use case that will make AI adopted by the masses I think it’s still mostly hot air. It’s good for what it is for office jobs and higher education, but only for specific tasks and it has to be triple checked. Just yesterday at work I asked it for a Powershell script to upload a local file to S3 and it hallucinated a method. The whole script is like 10 lines. How could it mess that up, but meanwh…

I use ChatGPT4 daily for powershell scripts. The only time it seems to hallucinate is when I'm forcing it to use 4.0 rather than 5.1 or 7.

Re: How to feed all the power-hungry AI data centers

#25

Earlier quoted context omitted.

Even if the models aren't gargantuan, millions of people using AI applications is going to burn a lot of power.

I still haven’t seen a use case that will make AI adopted by the masses I think it’s still mostly hot air. It’s good for what it is for office jobs and higher education, but only for specific tasks and it has to be triple checked. Just yesterday at work I asked it for a Powershell script to upload a local file to S3 and it hallucinated a method. The whole script is like 10 lines. How could it mess that up, but meanwh…

Has AI not already been adopted by the masses?

Re: How to feed all the power-hungry AI data centers

#26

Earlier quoted context omitted.

I still haven’t seen a use case that will make AI adopted by the masses I think it’s still mostly hot air. It’s good for what it is for office jobs and higher education, but only for specific tasks and it has to be triple checked. Just yesterday at work I asked it for a Powershell script to upload a local file to S3 and it hallucinated a method. The whole script is like 10 lines. How could it mess that up, but meanwh…

I've had GPT4 produce quite a bit of useful code, and it's indispensable when working with new libraries or in new domains.

Even if every dev in the world adopted an LLM copilot, that’s a teeny tiny sliver of “the masses”.

Re: How to feed all the power-hungry AI data centers

#27
post #8
post #2

i have a crazy idea... how about... not focusing on ever increasing the size of ai models, so that we don't need to build all those power-hungry ai training datacenters? just a thought

It’s always interesting to see these ideas on a tech forum. Should we as humanity stop right here? Draw a line in the sand and not do anything new? Maybe we should move backwards, skipping the Industrial Revolution and go back to each individual growing their own food? This is a serious question. What do you propose? Because you are not able to pick and choose what humanity tries out, so shall we stop entirely?

I'd argue that the innovation with these models is making smaller. Just throwing compute resources to make a model with more parameters is easy and doesn't really expand our knowledge. IMO, larger and larger LLM's aren't that impressive. Being able to shrink that model down, retain its accuracy (to a degree) and be able to run it on smaller hardware is impressive and will more likely lead to AI/ML being intertwined within people's day-to-day

Re: How to feed all the power-hungry AI data centers

#28
post #18
post #8

Earlier quoted context omitted.

It’s always interesting to see these ideas on a tech forum. Should we as humanity stop right here? Draw a line in the sand and not do anything new? Maybe we should move backwards, skipping the Industrial Revolution and go back to each individual growing their own food? This is a serious question. What do you propose? Because you are not able to pick and choose what humanity tries out, so shall we stop entirely?

We should invent solutions for problems that we have, instead of wildly trying to apply this tech to everything we can think of. We are skipping the benefit/cost considerations.

People are doing cost/benefits analyses. It’s just that defining costs and benefits are subjective and you disagree with their decisions

Re: How to feed all the power-hungry AI data centers

#29
post #21

Earlier quoted context omitted.

Is AI not a solution for our problems? I can imagine a declining population, a younger generation, that does not want to reproduce, neither working off the available work. We need a solution for that. So we need systems, that learns human knowledge, refines it, makes it better and takes over all of the work. And for programmers: is sitting not the new cig smoking and drinking alcohol for early death?

What about education for all, better healthcare and a solution to hunger. Or discriminations? I’m not seeing anything trying to solve that in the AI space right now. It’s all about replacing workers and artists.

Well yeah cause its bad at all the things you want it to solve.

Re: How to feed all the power-hungry AI data centers

#30

Earlier quoted context omitted.

I've had GPT4 produce quite a bit of useful code, and it's indispensable when working with new libraries or in new domains.

Even if every dev in the world adopted an LLM copilot, that’s a teeny tiny sliver of “the masses”.

Except that LLMs are going to eat into everything white collar. Law, medicine, writing, common office tasks, etc. Beyond that, a function calling chat interface enables a class of application that couldn't exist without it.
Post reply on HN