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Dale of Green Gables's avatar

Like so much else these days, you're really talking about moral purity when it comes to AI --- the secular version of the old theological idea that there is something sacred about human activity that must not be contaminated by the artificial. But this is where the hypocrisy comes in --- people rarely apply this purity logic consistently. Most didn't invoke moral purity when: ATMs replaced bank tellers, GPS replaced mapmakers or spellcheck replaced proofreaders. So, not so much "morality" as class politics wearing a moral mask. The purity argument collapses because humans have always outsourced parts of themselves: memory to writing; navigation to maps; calculation to machines and perception to sensors. AI is just the next outsourcing. The discomfort isn’t really about morality --- it’s about proximity. And as I've said before, the core issues are what parts of our cognitive makeup (individually and collectively) we're willing to outsource to AI and their social and economic consequences.

John Corey's avatar

In addition to all the moral points around replacing human effort (which Dale of Green Gables has answered well, here, already); it is the energy/environmental impact that troubles me. None of the historical analogies carried the global climatic impacts that this new technology does, and it's not at all clear how we will handle that.

There are two parts to this: Training, and Using AI LLMs.

TRAINING

The training run for just one recent iteration of ChatGPT from Open AI (only one of many LLMs by multiple corporations) is estimated to have required about 11 BILLION kilowatt-hours (kWhr) of electric energy. Just to train it, before use. Is that a lot? Here are some comparables:

How much electricity is 11 billion kWh?

1 million homes for a year: The average U.S. home consumes 10,500 kWh a year. That means 11 billion kWh could power one million average U.S. households for a full year.

The U.S. Steel Industry: The entire U.S. steel industry currently consumes about 11 billion kWh a year.

11 billion miles by an EV: A Tesla Model 3 uses about 25 kWh to travel 100 miles. With 11 billion kWh, you could drive that Tesla for a mind-blowing 44 billion miles—roughly three roundtrips to Neptune.

More than the output of a 1 GW nuclear reactor for a year. A 1 GW nuclear reactor can produce about 8 billion kWh per year.

So, yeah. It's a lot. And that meant burning a BIGGER lot of fossil fuels to generate it. You may have noticed this Summer is getting a tad warm already. Could be related....

RUNNING/USING:

This one is tougher, as it depends much more directly on the nature of the queries and the size of the LLM queried. I won't even try, here in this space, but rather just note that if just 1/10 of every person on earth does this once a day (minimal use in developed countries) and estimating an ordinary query uses just 1 kWhr, then that's nearly another BILLION kWhr. Per Day.

If you are serious about understanding this in more depth, may I recommend this article:

https://www.technologyreview.com/2025/05/20/1116327/ai-energy-usage-climate-footprint-big-tech/

I don't know about you, but I know that Earth's climate and most societies have survived all prior insults; but I'm not so sure they will do so this time around. I get worrying about lost jobs; but how about lost livable planet (livable for humans, anyway - cockroaches and many weeds will likely be OK).

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