For many people it's shame. Feeling like you're mentally a child while everyone around you is an adult can't be a good feeling.
2,862 karma · joined September 19, 2020
For many people it's shame. Feeling like you're mentally a child while everyone around you is an adult can't be a good feeling.
But why would you even want that? They like it in the simulation, and nobody really wants to deal with them outside the simulation.
Maybe it's about the joy of learning something new every time you cook. Having Michelin star restaurants in your neighborhood would add to that joy, not take away from it.
> I would like to believe that many people will still choose reality and real relationships.
Why would you like to believe that?
We are watching machines rapidly match and surpass humans at countless skills that were considered uniquely human mere months ago - skills that demanded a lot of creativity and insight. Some of our oldest fields of study (e.g., mathematics) are turning into a game of who can spend the most tokens.
I think the humans are entitled to complain a little.
Right, their decline is because of the thing that they've been accused of since the very beginning, and not the trillion-dollar technology that replaces them. Brilliant take.
It can be an ethical stance based on facts, rather than religious-like. AI has no shortage of ethical issues that could stop someone from using it.
Comparing these people to religious or MAGA types - who believe in things that are false or at least unprovable - is farcical.
STAR has been used approximately nowhere. STAR is also one of the few seriously advocated-for voting methods in which it's possible for the first choice of a majority to lose, although that isn't likely to happen in practice.
Plus, if a human puts the effort into writing something, that signals to me that it's worth something, because human time is much more scarce than LLM time.
It's not green threads (and maybe not lightweight threads; there are so many names for things that may or may not be considered the same...) in the sense of stackful coroutines, but either way, it's a userspace implementation of multitasking on top of a smaller number of OS threads, which is the part that's relevant to my question.
NGINX uses a state machine per task, which as far as I know is kind of what Rust's async functions end up desugaring to.
Every other post on the News.YC frontpage has been about AI for the past few years. That means very little.
> YouTube has gotten a lot more entertainment rising above the slop.
Examples would be great. I'm looking on YouTube's "hot" playlists and haven't yet seen anything marked AI, although that of course doesn't rule out the use of AI.
What's different this time is that this situation is expanding to almost every field.
It's not just that there's a reason for the error to occur, it's that (1) the line between what the borrow checker can and can't do is currently clear, even if it's privileging references and boxes, and (2) the fix is a one-line change. Exposing more language hook points via traits to save one line here and there is what doesn't seem compelling to me, which is why I asked for an example where it leads to a more significant improvement in the code.
Like, the mentioned roadmap page says "But Option<&mut T> or custom smart pointers require awkward .as_deref_mut() or .reborrow() calls"; what I'm asking is: how awkward?
It looks fine? The code fails because it dereferences the MutexGuard twice, so you instead dereference it once. It's hard to imagine that this contributes much to "Rust's difficult learning curve".
Rather, introducing even more potential implicitness on every `.` seems like it would make the language harder to learn.
Is there an example that really benefits from these features?
Not saying that doesn't happen, but do you have an example of such a page?