libera te tutemet ex machina, and shitpost~~

  • 16 Posts
  • 62 Comments
Joined 2 years ago
cake
Cake day: December 7th, 2023

help-circle

  • Idk, some leftist people (including minorities) are energized and motivated, so it’s important not to get stuck in some weird self-defeating trap. Political up and downs happen every generation. Don’t fall for the doomer BS, it’s important to keep following through with your personal goals and persevere. Find a community and volunteer, take care of each other.

    Ultimately people should seek to close gaps with others, and try to find common ground, while acknowledging that there are some values which cannot be compromised, like sacrificing someone’s humanity and (personal/psychological) safety.




  • nifty@lemmy.worldOPtoScience Memes@mander.xyzA delicate balance
    link
    fedilink
    English
    arrow-up
    1
    ·
    11 months ago

    In a way, yes, but the key point of the scientific method is testing and validating hypotheses to confirm existing models or theories.

    Everything can be questioned in a sensible way, but if you’re going against the grain of established mountains of evidence, then you have to work just as hard to provide counter evidence or proofs.

    The burden on proof for fantastical claims is on the person or persons making it.





  • Only 13% of adults in India have attainted tertiary education vs 17% in China, and 50% in the U.S. Explains where the bulk of productivity is in those countries, hard and blue collar labor. So this explains this guy’s pov, he basically wants to exploit labor as hard as possible.

    https://www.statista.com/statistics/232951/university-degree-attainment-by-country/

    Republicans want to create that kind of system here in the U.S. because they’re convinced that you don’t need an educated population to maintain US GDP supremacy, completely neglecting that the bulk of US services are centered around work that’s not hard labor or blue collar related. Even if the U.S. makes a transition to blue collar or hard labor work in the next decade, it will never attain the same kind of productivity as India and China in this respect because of the different cultural make up of these respective countries…unless, there’s a brain drain and people who want a higher quality of life abandon ship to a non-factory country.

    But importantly, the reason China and India have that kind of GDP output given their respective focus in the first place is precisely because the U.S. focuses its attention on financial and technical innovation. So if everyone shifts to pushing hard labor, then what happens? Someone’s going to have to pick up the slack, and it’s likely going to be the EU unless Russia steam rolls over them.

    The way nations and their leaders decide to do things is interesting, often to the detriment of sane long term investments.









  • nifty@lemmy.worldtoScience Memes@mander.xyzNoise
    link
    fedilink
    English
    arrow-up
    24
    arrow-down
    1
    ·
    1 year ago

    How do we know that sound signals recorded aren’t just from the release of biomolecules? Using the nervous system to produce sound is a more intentional process than the release of biomolecules for chemical signaling, which is something even simple multicellular organism do






  • nifty@lemmy.worldtoScience Memes@mander.xyzanswer = sum(n) / len(n)
    link
    fedilink
    English
    arrow-up
    10
    arrow-down
    2
    ·
    1 year ago

    In my experience, papers which propose numerical solutions cover in great detail the methodology (which relates to some underlying physical phenomena), and also explain boundary conditions to their solutions. In ML/DL papers, they tend to go over the network architecture in great detail as the network construction is the methodology. But the problem I think is that there’s a disconnect going from raw data to features to outputs. I think physics informed ML models are trying to close this gap somewhat.