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Cake day: June 15th, 2023

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  • I would say that all issues can be traced back to letting people sell stuff on what was designed as a government/educational communications system. We keep on adding patches trying to smother commercially-motivated bad actors who were not an expected part of the original design, but it’s not really much different from playing whack-a-mole.

    (I didn’t read the article, but I imagine it’s Yet Another Idea for some kind of patch, and probably not a very good one, because most of them aren’t.)



  • The problem is not the hypothesis, the problem is that it isn’t really presented as a hypothesis. Reporting on the results before doing the experiment isn’t the way to go.

    Our theories of how the world works are necessarily incomplete, and experiments turn up things that overturn scientific understanding often enough. The way this is set up matches a common pattern of vilifying tech without seeing whether it’s deserved or not. Maybe not wearing a noise cancellation headset would, in fact, help this patient, but until that’s tested and found out to be true, reporting on it is just spreading FUD.



  • The cause of Sophie’s APD diagnosis is unknown, but her audiologist believes the overuse of noise-cancelling headphones, which Sophie wears for up to five hours a day, could have a part to play.

    Other audiologists agree, saying more research is needed into the potential effects of their prolonged use.

    That looks to me like, “audiologists have no bloody clue where this issue is coming from, and are therefore throwing shit at the wall in the hope that something will stick.”














  • And this specifically target AI training web crawlers.

    There’s no way to distinguish between an AI training crawler and any other crawler. Per https://zadzmo.org/code/nepenthes/ :

    “This is a tarpit intended to catch web crawlers. Specifically, it’s targetting crawlers that scrape data for LLM’s - but really, like the plants it is named after, it’ll eat just about anything that finds it’s way inside.

    Emphasis mine. Even the person who coded this thing knows that it can’t tell what a given crawler’s purpose is. They’re just willing to throw the baby out with the bathwater in this case, and mess with legitimate crawlers in order to bog down the ones gathering data for LLM training.

    (In general, there is no way to tell for certain what is requesting a webpage. The User-Agent header that (usually) arrives with an HTTP(S) request isn’t regulated and can contain any arbitrary string. Crawlers habitually claim to be old versions of Firefox, and there isn’t much the server can do to identify what they actually are.)