Welcome to the Stubsack, your first port of call for learning fresh Awful you’ll near-instantly regret.

Any awful.systems sub may be subsneered in this subthread, techtakes or no.

If your sneer seems higher quality than you thought, feel free to cut’n’paste it into its own post — there’s no quota for posting and the bar really isn’t that high.

The post Xitter web has spawned soo many “esoteric” right wing freaks, but there’s no appropriate sneer-space for them. I’m talking redscare-ish, reality challenged “culture critics” who write about everything but understand nothing. I’m talking about reply-guys who make the same 6 tweets about the same 3 subjects. They’re inescapable at this point, yet I don’t see them mocked (as much as they should be)

Like, there was one dude a while back who insisted that women couldn’t be surgeons because they didn’t believe in the moon or in stars? I think each and every one of these guys is uniquely fucked up and if I can’t escape them, I would love to sneer at them.

(Credit and/or blame to David Gerard for starting this. Happy Halloween, fellow sneerers!)

  • lurker
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    5 days ago

    New Data Centers in the US Set to Wipe Out 15 Years of Greenhouse Gas Reductions

    Somewhat misleading title, as they are referring to pollution reduction efforts solely in the US, not worldwide.

    Nearly 15 years worth of hard-won pollution reduction efforts are set to be undone in the United States, as a wave of data centers powered by gas plants enters construction.

    Unpaywalled version of the Bloomberg article here: https://archive.li/9Ts5f

    This is only if all the planned data centre buildouts go ahead, mind you

    • BioMan
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      5 days ago

      That appears to assume that all the ridiculous datacenter numbers put out by all the various hyperscalers that are not actually going to happen, happen, and get power sources built on time.

    • lurker
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      5 days ago

      Doing a little of my own math:

      Article says the US will emit 2.1 billion metric tons of carbon by 2030.

      Using a metric tons to gigatons conversion gives us 2.1 gigatons.

      Using this as a reference, these projected AI emissions shouldn’t even come close to scratching the global average