• 0 Posts
  • 120 Comments
Joined 1 year ago
cake
Cake day: August 12th, 2024

help-circle
  • A country beeing able to produce its own food is a good thing even if said food is not viable on a global market because of cheaper imports. What happens if there is a shipping crisis like with a pandemic? Does everybody just starve because no food is brought in from other countries? Subsidies can be very useful, but just subsidizing corn and soy for export is not one of these cases.








  • My 10yo gaming PC is probably “faster” to boot because it is set up to auto logon without password promt so it boots straight to desktop without any interruptions while my Linux laptop has pre-boot-authentication and then normal login. But between these two password promts is basically no time at all





  • (I’m just being silly, I recognize that an old package list would probably cause issues with installing or upgrading packages.)

    No problems anywhere you can always install older versions from a repo.

    Upgrade -> update two days ago and then again today will leave me with exactly the same packages as it would if I ran it correctly the first time and then not at all today. Just the state of two days ago.





  • groet@feddit.orgtoMicroblog Memes@lemmy.worldBands
    link
    fedilink
    English
    arrow-up
    4
    arrow-down
    1
    ·
    19 days ago

    I agree but disagree. Just go to any genre that isn’t Pop/Country/K-Pop and look at the largest bands there.

    Many people that never listen to metal have heard of parkway drive, rammstein, disturbed, Lorna shore, bring me the horizon, etc.

    Last year gojira played during the opening ceremony of the Paris Olympics. How is that not “not-main-mainstream”.





  • Anyone with a stake in the development of AI is lying to you about how good models are and how soon they will be able to do X.

    They have to be lying because the truth is that LLMs are terrible. They can’t reason at all. When they perform well on benchmarks its because every benchmark contains questions that are in the LLMs training data. If you burn trillions of dollars and have nothing to show, you lie so people keep giving you money.

    https://arxiv.org/html/2502.14318

    However, the extent of this progress is frequently exaggerated based on appeals to rapid increases in performance on various benchmarks. I have argued that these benchmarks are of limited value for measuring LLM progress because of problems of models being over-fit to the benchmarks, lack real-world relevance of test items, and inadequate validation for whether the benchmarks predict general cognitive performance. Conversely, evidence from adversarial tasks and interpretability research indicates that LLMs consistently fail to learn the underlying structure of the tasks they are trained on, instead relying on complex statistical associations and heuristics which enable good performance on test benchmarks but generalise poorly to many real-world tasks.