• 33 Posts
  • 104 Comments
Joined 1 year ago
cake
Cake day: June 10th, 2023

help-circle











  • The difficulties in monetisation is what had been slowly killing RSS support on websites. There have been services that have tried to solve this problem, one is mentioned in the article, but they don’t seem to have had wide adoption.

    It’s not just inserting ads either, today it’s also the pervasive tracking that makes money.

    RSS was great for things like personal blogs, but commercial sites came to see little value in it, and have been dropping it as a result.


  • Google+ could have been successful to a degree, in terms of features it was an improvement over Facebook in several ways. The problem was the invite only launch.

    The invite period worked for Gmail because it was still interoperable with other email services, and made getting a Gmail address seem exclusive and desirable. Making a walled garden social network invite only, however, just lead to it being empty. Most who did sign up looked around for a few minutes then went back to Facebook.







  • Not really, the type of encryption used isn’t necessarily a barrier to interoperability.

    Quantum computing is developing quickly, and is a threat to conventional encryption methods. There is a good chance we will see quantum computing break many forms of encryption used today in the near future. As such, most companies developing secure platforms are now embracing quantum-resistant encryption.

    This isn’t necessarily (another) attempt to reinforce the walls around the iMessage garden, just Apple being proactive about a potential future security danger. Other messaging platforms will be doing the same, if they are not already.


  • Humans come hardwired to be a certain way, do certain things. Maybe they need to start AI off like that, some basic programs that guide learning. “Learn everything” isn’t working.

    That’s a good point. For real brains, size and intelligence are not linked. An elephant brain has 3 times the amount of neurons as a human brain, but a human brain is more intelligent. There is more to intelligence than just the amount of neutrons, real or virtual, so making larger and larger AI models may not be the right direction.