• 0 Posts
  • 8 Comments
Joined 4 months ago
cake
Cake day: February 4th, 2026

help-circle

  • It only kinda works like this. If you have two slits, looking at it or not, you will see the top one. Now, the really weird thing is that if you fire a single photon at a time, you will still get the top one over time, suggesting that the single photon is somehow going through both slits and interfering with itself to do so. But the even weirder thing is, if you place a detector in one of the two slits to check which slit the photon is going through? You suddenly get the bottom picture.



  • Iunnrais@piefed.socialtoScience Memes@mander.xyz4ks double meaning
    link
    fedilink
    English
    arrow-up
    4
    arrow-down
    1
    ·
    2 months ago

    No, the difference is that if you double a kelvin number, you have quantifiably doubled the heat. If you double a Celsius or Fahrenheit number, you have not quantifiably doubled the heat… the number does not objectively count an amount of something.

    Think meters. A meter measures an exact length. Two meters is double one meter.

    Celsius doesn’t do that. Celsius is a scale between two amounts of heat.

    The equivalent for distance would be if we had a scale where 0 degrees distance was equal to 582.7762 meters, and 100 degrees distance was equal to 721.5323 meters. Each degree between 0 and a hundred is then a slice of that range. Maybe for the people who designed such a scale there’s useful reasons to do so, but you aren’t measuring the quantity or amount of something, you’re measuring a range.

    Kelvin measures molecular movement, just as hertz measures oscillations or cycles, or grams measure weight.



  • I get that lemmy hates AI, and I’m not going to try to talk you out of that, but please stop repeating this factually incorrect myth. LLMs are not stochastic parrots, despite what you may have heard. And they do think… to a degree. Note that they’re by no means everything CEOs and tech bros want them to be, but if you’re going to criticize them, please do it accurately.

    They do know the meaning of words, but only in relation to other words. It’s how they work. It’s not a statistical thing like word frequency patterns— they’re not doing the same thing autocomplete does. Instead, they’re doing math on words in a several hundred-thousand dimensional array where placement on this grid indicates the meaning of the word— one vector direction indicates plurals, another indicates rudeness or politeness, another indicates frog-like, another might indicate related to 1993 ibm pentium CPUs, etc, etc, etc. It developed this array via training on terabytes of text, but it’s not storing a copy of that text, nor looking it up, nor copying anything from it… it’s defining words based on how they are used, then doing math on it to figure out what is the most appropriate thing to say next— not the most likely thing according to statistics, the most meaningful based on the definitions of the words it understands.

    They really do not copy and paste. They do use definitions. They do think about the words in a very real way.

    They don’t apply logical consistency and fact checking. There are hacks to make them talk to themselves in a way that following the meaningful definitions of words will more likely lead to fact checking and logical consistency, but it’s not 100% fool proof.