Skip Navigation

InitialsDiceBearhttps://github.com/dicebear/dicebearhttps://creativecommons.org/publicdomain/zero/1.0/„Initials” (https://github.com/dicebear/dicebear) by „DiceBear”, licensed under „CC0 1.0” (https://creativecommons.org/publicdomain/zero/1.0/)FE
Posts
17
Comments
2,620
Joined
2 yr. ago

  • I've recently learned Americans don't do log tables in high school.

    Log is the opposite of exponent, so log2 is the opposite of squared, log 3 the opposite of cubed. log4 opposite of x^4 etc

    instead of making things relatively bigger, you're going the other way and making things smaller, in the diagram this means that if the sun's size is 1 unit, under log2 it would have to be twice as big as the sun to be represented as the same size as the sun, the closer you get to the edge the bigger it has to be to be represented as the same size as the sun

  • Freddie Mercury and Prince?

    Their only controversy is that they liked sex and were bi, which to my mind, as someone who that also applies to, I don't see as immoral.

    edit: grammar got fucked

  • What are you talking about? I read the papers published in mathematical and scientific journals and summarize the results in a newsletter. As long as you know equivalent undergrad statistics, calculus and algebra anyone can read them, you don't need a qualification, you could just Google each term you're unfamiliar with.

    While I understand your objection to the nomenclature, in this particular context all major AI-production houses including those only using them as internal tools to achieve other outcomes (e.g. NVIDIA) count LLMs as part of their AI collateral.

  • I've been working on an internal project for my job - a quarterly report on the most bleeding edge use cases of AI, and the stuff achieved is genuinely really impressive.

    So why is the AI at the top end amazing yet everything we use is a piece of literal shit?

    The answer is the chatbot. If you have the technical nous to program machine learning tools it can accomplish truly stunning processes at speeds not seen before.

    If you don't know how to do - for eg - a Fourier transform - you lack the skills to use the tools effectively. That's no one's fault, not everyone needs that knowledge, but it does explain the gap between promise and delivery. It can only help you do what you already know how to do faster.

    Same for coding, if you understand what your code does, it's a helpful tool for unsticking part of a problem, it can't write the whole thing from scratch

  • What about band/musician names? Isn't calling yourself The Boss, or Satchmo, or Hootie and the Blowfish, Toad the Wet Sprocket, Led Zeppelin "unserious"

    And secondly why is being silly bad?