Need to let loose a primal scream without collecting footnotes first? Have a sneer percolating in your system but not enough time/energy to make a whole post about it? Go forth and be mid: 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.

(Taking over for Gerard this time. Special thanks to him for starting this.)

  • mlen@awful.systems
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    15 hours ago

    Second observation is that when a thing gets cheaper it’s used more, i.e. they’ll be pushing even harded to shove it into everything.

    Are they trying to imply that when they will make it cheaper by shoving it everywhere? I honestly can’t see how that logic is holding together

    • froztbyte@awful.systems
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      14 hours ago

      as I read it, it’s an attempt at reference to economy of scale under the thesis “AI silicon will keep getting cheaper because more and more people will produce it” as the main underpinning for how to reduce their unit economics. which, y’know, great! that’s exactly what people like to hear about manufacturing and such! lovely! it’s only expensive because it’s the start! oh, the woe of the inventor, the hard and expensive path of the start!

      except that doesn’t hold up in any reasonable manner.

      they’re not using J Random GPU, they’re using top-end purpose-focused shit that’s come into existing literally as co-evolution feedback from the fucking industry that is using it. even some hypothetical path where we do just suddenly have a glut of cheap model-training silicon everywhere, imo it’s far far far more likely to be an esp32 situation than a “yeah this gtx17900 cost me like 20 bucks” situation. even the “consumer high end” of “sure your phone has a gpu in it” is still very suboptimal for doing the kind of shit they’re doing (even if you could probably make a great cursed project out of a cluster of phones doing model training or whatever)

      falls into the same vein of shit as “a few thousand days” imo - something that’s a great soundbite, easily digestible market speak, but if you actually look at the substance it’s comprehensive nonsense

      • mlen@awful.systems
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        7 hours ago

        Yeah, I agree. I think that this argument that is made there is a false. The logic error imo is claiming this statement is true: things get cheaper as they get used more, therefore if we make it used more, it will get cheaper.

      • Architeuthis@awful.systems
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        14 hours ago

        Could also be don’t worry about deepseek type messaging that addresses concerns without naming names, to tell us that a drastic reduction in infrastructure costs was foretold by the writing of St Moore and was thus always inevitable on the way to immanentizing the AGI, ἀλληλούϊα.

    • Architeuthis@awful.systems
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      15 hours ago

      The surface claim seems to be the opposite, he says that because of Moore’s law AI rates will soon be at least 10x cheaper and because of Mercury in retrograde this will cause usage to increase muchly. I read that as meaning we should expect to see chatbots pushed in even more places they shouldn’t be even though their capabilities have already stagnated as per observation one.

      1. The cost to use a given level of AI falls about 10x every 12 months, and lower prices lead to much more use. You can see this in the token cost from GPT-4 in early 2023 to GPT-4o in mid-2024, where the price per token dropped about 150x in that time period. Moore’s law changed the world at 2x every 18 months; this is unbelievably stronger.