this post was submitted on 24 Dec 2023
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[–] bfg9k@lemmy.world 16 points 10 months ago (1 children)

Off-topic: I had never seen ethernet cables labelled like that before with colour - number codes like resistors, that's really cool and now I must have it

[–] melroy@kbin.melroy.org 6 points 10 months ago

it does look like resistor color codes

[–] Mojojojo1993@lemmy.world 7 points 10 months ago

Humans are. Already the worst. Ai is just a tool. Used by horrible humans

[–] abhibeckert@lemmy.world 5 points 10 months ago

Um... doesn't ChatGPT run on Azure? A world leader in sustainability that has been carbon neutral for over a decade?

[–] blunderworld@lemmy.ca 5 points 10 months ago

Can we make a single breakthrough in technology that doesn't totally fuck our planet? That'd be just swell!

[–] autotldr@lemmings.world 3 points 10 months ago

This is the best summary I could come up with:


Answer: reach for the Gartner Hype Cycle, an ingenious diagram that maps the progress of an emerging technology through five phases: the “technology trigger”, which is followed by a rapid rise to the “peak of inflated expectations”; this is succeeded by a rapid decline into the “trough of disillusionment”, after which begins a gentle climb up the “slope of enlightenment” – before eventually (often years or decades later) reaching the “plateau of productivity”.

This hype has given rise to much anguished fretting about its impact on employment, misinformation, politics etc, and also to a deal of anxious extrapolations about an existential risk to humanity.

Which, in turn, means CO2 emissions on a large scale – about which the industry is extraordinarily coy, while simultaneously boasting about using offsets and other wheezes to mime carbon neutrality.

The implication is stark: the realisation of the industry’s dream of “AI everywhere” (as Google’s boss once put it) would bring about a world dependent on a technology that is not only flaky but also has a formidable – and growing – environmental footprint.

A study in 2019, for example, estimated the carbon footprint of training a single early large language model (LLM) such as GPT-2 at about 300,000kg of CO2 emissions – the equivalent of 125 round-trip flights between New York and Beijing.

Ways of seeingIn an intriguing blogpost, Om Malik describes why Apple’s fancy, soon-to-be-released headset Vision Pro will change photography.


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