• 1 Post
  • 76 Comments
Joined 3 years ago
cake
Cake day: March 15th, 2023

help-circle



  • Hey,

    The photos look great!

    Personally, I try to keep my photos as they are and only edit a few. I’m always questioning my edits. For example, should it be more bluish or warmer? Should I keep what I saw, or make it better - but fake? And that’s a rabbit hole. I also try to make the whole album follow the same style, so if I edit one, I end up editing all of them. I can spend more time editing my photos than taking them.

    About the shapness, I’m using rawtherapee, I found it to have a bit more logical UI. It applies capture sharpening by default to raw images, which rarely needs adjustment. Have you tried it yet?













  • I have been to Brussels, and it was frustrating to see “Free Gaza” graffiti ruining the view. The city felt neglected, almost like garbage. I was disappointed to see the capital of Europe in such poor condition. Graffiti was only part of the problem though, trash bags were left on the pavements instead of being placed in bins. One of the ULB university buildings had a broken glass entrance, and when I visited the following year, it was still unrepaired. I also heard the subway’s alert system multiple times; apparently, people trigger it so they can enter for free. And so on. Overall, it was a very disappointing experience. The beer, however, was exceptional.


  • But LLMs are not simply probabilistic machines. They are neural nets. For sure, they haven’t seen the world. They didn’t learn the way we learn. What they mean by a caterpillar is just a vector. For humans, that’s a 3D, colorful, soft object with some traits.

    You can’t expect that a being that sees chars and produces chars knows what we mean by a caterpillar. Their job is to figure out the next char. But you could expect them to understand some grammar rules. Although, we can’t expect them to explain the grammar.

    For another example, I wrote a simple neural net, and with 6 neurons it could learn XOR. I think we can say that it understands XOR. Can’t we? Or would you say then that an XOR gate understands XOR better? I would not use the word understand for something that cannot learn. But why wouldn’t we use it for a NN?