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Cake day: December 11th, 2024

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  • Neat, looks like the author got a publishing deal and has a new version of it coming out later this year:

    https://qntm.org/antimemetics

    Here’s the author’s blurb about it, if it piques anyone else’s interest that hasn’t read it yet:

    An antimeme is an idea with self-censoring properties; an idea which, by its intrinsic nature, discourages or prevents people from spreading it.

    Antimemes are real. Think of any piece of information which you wouldn’t share with anybody, like passwords, taboos and dirty secrets. Or any piece of information which would be difficult to share even if you tried: complex equations, very boring passages of text, large blocks of random numbers, and dreams…

    But anomalous antimemes are another matter entirely. How do you contain something you can’t record or remember? How do you fight a war against an enemy with effortless, perfect camouflage, when you can never even know that you’re at war?

    Welcome to the Antimemetics Division.

    No, this is not your first day.






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  • m_fOPAtoThe Far Side@sh.itjust.works2025-06-25
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    7 days ago

    Some background on this comic:

    Transcript (top left):

    “Uh-oh…He’s using the thingy.”

    Transcript (top right):

    “So! Still won’t talk?..I guess it’s time to use a little device we like to call around there ‘the thingy.’”

    Transcript (bottom left):

    This cartoon developed as shown, and I was satisfied with the final—except to say I’m always worried some people will try to figure out what exactly it is that the “Mr. Thingy” does. (I’m sure this is a residual paranoia from the “Cow tools” cartoon, see page 156.)





  • Probably something like Tensor Processing Unit. That’s a specific Google product, but something along those lines

    Tensor Processing Unit (TPU) is an AI accelerator application-specific integrated circuit (ASIC) developed by Google for neural network machine learning, using Google’s own TensorFlow software. Google began using TPUs internally in 2015, and in 2018 made them available for third-party use, both as part of its cloud infrastructure and by offering a smaller version of the chip for sale.

    Compared to a graphics processing unit, TPUs are designed for a high volume of low precision computation (e.g. as little as 8-bit precision)[3] with more input/output operations per joule, without hardware for rasterisation/texture mapping.