• 10 Posts
  • 38 Comments
Joined 1 个月前
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Cake day: 2024年8月15日

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  • Listen, I’m happy for everything that makes communicating easier but to paint Google and Android as some champions of messaging is just straight up crazy.

    I was an android user since the beginning of modern smart phones (and before that I used Windows Mobile 6.5 😵‍💫) and messaging has been an absolute shit-show on android for almost the entire time. Google finally had a good solution with Hangouts (circa 2014) but they killed it and spawned so many messaging clones that I lost count.

    The reason why we have such fragmentation and so many different apps we have to juggle to communicate on android is because of the clear lack of vision and leadership in that area in Google.

    Even RCS is freaking fragmented as well. Take for example E2E encryption, that doesn’t work unless you go through google’s servers which you can’t really guarantee so you’re getting a different “RCS” UX depending on who you’re texting and what servers are being used on the backend.

    After I switched to iPhone from Android it was like a slap in the face on how much better just communicating to people was on iPhone. Google isn’t the fucking hero here.







  • The main problem with BYD cars is that they are heavily subsidizing by the Chinese government.

    If you remove those subsidies then those cars aren’t going to be very competitive. But the problem would be that by the time the Chinese government stopped subsidies, there wouldn’t be any competition left.

    Our best ways to counteract this would either be through heavy tariffs or by subsidizing our own companies in the west.

    MAGA wants to do the tariffs route which is basically a bandaid solution that would prevent the Chinese companies from owning the US market but it wouldn’t do anything outside of that. Plus it doesn’t solve is being competitive, it’s just covering its ears and “lalala”’ing the issue for later generations to deal with it. Which honestly, that tracks for basically their whole platform.

    If you do the subsidies route though, we’d have to make sure we’re not just constantly lining Musk’s pockets but Tesla is the company has the biggest head start. And Musk is a PoS but the devil’s credit is that our EV market wouldn’t exist without Tesla.

    IMO, we need to diversify our EV makers and help provide the capital to bootstrap it. And while that’s happening we need to not let cheap Chinese cars flood the market to undercut any chance we have. So basically we need a combination of both solutions.





  • During COVID, I had multiple people shrug off how hard everything was with kids and disregard parents struggles. That’s a cultural thing which is what studies like this are addressing and trying to help build momentum to change.

    It’s easier to build that momentum with data instead of just vibes because even though this is self-evident to both of us, we’re not the hearts and minds that require changing.

    It’s similar to how young and single people will be expected to work longer hours because “they don’t have to go home” as if that means that they don’t need time off as well.












  • This is a threat to any neural network that is being constantly trained. Hell it’s even a problem with our brain’s NN. We just call it “believing your own bullshit” or “getting high on your own supply”.

    The issue with NNs looking for cures or diseases (or anything that isn’t trained off of the internet) is that they are basically out of training data. They’ll need orders of magnitude more to get better and we just don’t have that. We haven’t figured out a way to get better off of less data and there’s no real movement on that front either.

    What we have right now is essentially a culmination of research that has been going on since the 1960’s that was finally able to be realized with us figuring out:

    • We can map our NN variables to a matrix
    • We can use linear algebra to optimize the loss on that matrix
    • We can leverage video cards to crunch the linear algebra
    • We have the largest data set ever created in order to get our loss lower than ever before