Why, a hexvex of course!

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Cake day: June 10th, 2023

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  • HexesofVexes@lemmy.worldtoScience Memes@mander.xyzI just cited myself.
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    4 days ago

    Reals are just point cores of dressed Cauchy sequences of naturals (think of it as a continually constructed set of narrowing intervals “homing in” on the real being constructed). The intervals shrink at the same rate generally.

    1!=0.999 iff we can find an n, such that the intervals no longer overlap at that n. This would imply a layer of absolute infinite thinness has to exist, and so we have reached a contradiction as it would have to have a width smaller than every positive real (there is no smallest real >0).

    Therefore 0.999…=1.

    However, we can argue that 1 is not identity to 0.999… quite easily as they are not the same thing.

    This does argue that this only works in an extensional setting (which is the norm for most mathematics).




  • In the UK, slot machines fall into 4 main categories. Of particular interest are category C machines, as these can remember a fixed number of previous games. I.e. the “myth” that a machine is “about to pay out” because “someone lost a lot to it” can hold for these games.

    Cat A and B machines are completely random, previous games can have no impact on probabilities of winning (though pots can climb).

    Online games have different rules, not always fair ones!

    Oh, and ALL games (in a physical location) must (by law) show “RTP” (return to player) somewhere. It usually gets stuck it in a block of text in the manual since no-one reads them. (If it’s below 97.3% just go play roulette as it offers better returns).













  • Ehh, I have a different vision here - AI is useful, it’s just going down the hypermonetisation path at the moment. It’s not great because your data is being scraped and used to fuel paywalled content - that is largely why most folks object.

    It’s, also, badly implemented, and is draining a lot of system resource when plugged into an OS for little more than a showy web search.

    Eventually, after a suitable lag, we’ll see Linux AI as the AI we always wanted. A local, reasonable resource intense, option.

    The real game changer will be a shift towards custom hardware for AIs (they’re just huge probability models with a lot of repetitive similar calculations). At the moment, we use GPUs as they’re the best option for these calculations. As the specialist hardware is developed, and gets cheaper, we’ll see more local models and thus more Linux AI goodness.