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Cake day: June 10th, 2023

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  • Plus the only places that are left to build giant factories are distant from population centers.

    You’re forgetting about eminent domain. Clearly, giant factory on American soil is a public good, even if it’s privately owned. Hence, the government will seize the homes and give the land to the corp. The prices of the houses will fall first, because who wants to buy a house that’s going to get bulldozed, reducing the compensation the government has to pay to the homeowners, potentially causing them to be upside down on their mortgages. This will leave them with nothing, or potentially even debt, when their homes get sized.






  • Saledovil@sh.itjust.workstomemes@lemmy.worldI just want to talk
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    2 months ago

    You can’t go and kill the guy at a point where you know he has events in his yet. (A person’s “yet” is what is known of their personal future). You have to attack him at a point where you he doesn’t have any events in his yet that you know about. This also means no killing Hitler before April 30th 1945.













  • That said, it’s misleading and inaccurate to state that neural networks are just statistics. In fact they are substantially more than just advanced statistics. Certainly statistics is a component—but so too is probability, calculus, network/graph theory, linear algebra, not to mention computer science to program, tune, and train and infer them. Information theory (hello, entropy) plays a part sometimes.

    What I meant when I said that they are advanced statistics is that that is what they do. I know that a lot of disciplines play a part in creating them. I know it’s incredible complicated, it took me quite a while to wrap my head around what the back-propagation algorithm.

    I also know that neural networks can do some really cool stuff. Recognizing tumors, for example. But it’s equally dangerous to overestimate them, so we have to be aware of their limitations.

    Edit: All that being said, I do recognize that you have spent much more time learning about and working with neural networks than I have.