• 0 Posts
  • 39 Comments
Joined 1 year ago
cake
Cake day: August 26th, 2023

help-circle









  • Floey@lemm.eetoCanada@lemmy.caI Like This Food Guide More
    link
    fedilink
    arrow-up
    13
    arrow-down
    1
    ·
    5 months ago

    I find the checklist format for dietary guidelines like Dr Gregor does to be more compelling and easier to groc. These plates make it seem like you should fret about achieving a specific balance. It’s like when people try to achieve very specific macro splits, instead of focusing on getting the things their body needs (enough proteins, essential fats, fiber).


  • There are different skills than just physical execution. Pokemon isn’t easy because RNG or because it’s turn based, it’s easy because the NPC team compositions are awful, the AI sucks, and the game only has very lenient soft caps on grinding. A mod like Radical Red solves these things, and I’ve played other turn based games with plenty of RNG which require lots of skill.


  • I didn’t think it was a choreographed publicity stunt. I just know Altman has used AI fear in the past to keep people from asking rational questions like “What can this actually do?” He obviously stands to gain from people thinking they are on the verge of agi. And someone looking for a new job in the field also has to gain from it.

    As for the software thing, if it’s done by someone it won’t be openai and megacorporations following in its footsteps. They seem insistent at throwing more data (of diminishing quality) and more compute (an impractical amount) at the same style of models hoping they’ll reach some kind of tipping point.








  • I don’t really want to do everything in one language but if I did have to pick it would probably be Julia. It’s slightly simpler than Python, and significantly faster without relying on APIs written in C. And has some really great features like broadcasting, multiple dispatch, and a good type system. The only place I feel like Python has it beat is quantity of libraries and support network, which both basically come from the same origin of just having more users. I’m hoping more data science types switch over in the next few years, since Julia is already great for most things mathematical. And I hope that momentum allows Julia to perhaps reach out to other domains.


  • I use Rate Your Music but I use it in a very peculiar way. Most of my listening is from scrolling through Latest Reviews for something that stands out and listening to it.

    The second most common way I use RYM is to go to the page of an album I think is really special and click on user made lists that album is a part of and scroll through for things that look interesting.

    The third way is when I notice I’ve liked a few things from a specific scene I like to go to the page for the record label that often represents artists from that scene. Currently I’m exploring Dischord Records.

    Fourth, is if a genre is obscure or specific enough I will look at the charts for that genre. This is most common with electronic music, because it’s so heavily taxonomized. Take for example Purple Sound which only has a couple hundred releases associated with it.

    This definitely isn’t how I recommend everyone find new music. But I do recommend freeing yourself from an algorithm and forging your own path. I find that algorithms often funnel a person into some kind of local maximum where most music presented is palatable but the chance to discover something revolutionary to their tastes decreases immensely, and to me that’s just a bummer.