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Sam Altman would like remind you that humans use a lot of energy, too | TechCrunch (techcrunch.com)

submitted 1 month ago by supersquirrel@sopuli.xyz to c/nottheonion@lemmy.world

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“But it also takes a lot of energy to train a human,” Altman said. “It takes like 20 years of life and all of the food you eat during that time before you get smart. And not only that, it took the very widespread evolution of the 100 billion people that have ever lived and learned not to get eaten by predators and learned how to figure out science and whatever, to produce you.”

So in his view, the fair comparison is, “If you ask ChatGPT a question, how much energy does it take once its model is trained to answer that question versus a human? And probably, AI has already caught up on an energy efficiency basis, measured that way.”

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[–] vane@lemmy.world 4 points 1 month ago

You said so ? Now go blow Arab dicks for oil money.

[–] the_citizen@lemmy.world 4 points 1 month ago* (last edited 1 month ago)

Wasn't technology developed to improve humanity's quality of life? Are we being compared with it and determined as inefficient now?

[–] NotMyOldRedditName@lemmy.world 3 points 1 month ago* (last edited 1 month ago)

If anything i think the better comparison is you use more power watching TV or gaming than you probably will using AI in the day if you do either of those 2 things.

The issue is training takes a lot of power, and because we can't run the hardware locally our usage is also placed in these data centers which put pressure on a specific area instead of distributing the same power usage.

I saw a post a couple days ago about a company etching the model weights into silicon chip and they made a 8b model that could do 16k t/s and once made are relatively cheap to produce, and in power requirements, and would only get better. Just need to make sure they can be recycled well as they'd end up on a 1 to 2 year cycle like phones. Model to chip in 60 days they said.

So maybe that's the future solution to distrubuted usage, but we would still need to solve training, but we could just mandate these datacenters must build their own renewable power and it would be less is everyone could run their own local inference.

[–] wonderingwanderer@sopuli.xyz 3 points 1 month ago

before you get smart

Something he never did, apparently

[–] Marshezezz@lemmy.blahaj.zone 3 points 1 month ago (1 children)

These cunts make me wish hell existed

[–] GreenKnight23@lemmy.world 2 points 1 month ago (1 children)

with the right funding it could...but where could we get all that money 🤔

[–] Whats_your_reasoning@lemmy.world 3 points 1 month ago

I bet we could get a lot of volunteers if the objective is “building a literal Hell for billionaires.”

[–] csolisr@hub.azkware.net 3 points 1 month ago (1 children)

Somebody actually did the math, and even accounting for all the energy that it takes for a human to stay alive a pair of decades, it's not even a hundredth of the energy needed to run the training of GPT-3. And GPT-4 took over fifty times that. Cf. fosstodon.org/@atoponce/116121…
RE: fosstodon.org/users/atoponce/s…

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[–] TheV2@programming.dev 2 points 1 month ago

We should build a time machine (with the help of AI this should be easy) and plant AI before mankind! We can avoid mankind and prevent that so much energy gets unnecessarily wasted on humans!

[–] bitwolf@sh.itjust.works 2 points 1 month ago

Yes but if there are no humans working no one will buy your shitty chat bot.

[–] betterdeadthanreddit@lemmy.world 2 points 1 month ago

Machines have taken a commanding lead over humans when it comes to pretending that they give a shit about what Sam Altman thinks. They can have this one.

[–] drunkpostdisaster@lemmy.world 1 points 1 month ago

So killing tech bros would be better still?

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