X sucks, but Threads is even worse. 99% of everything I have ever seen on Threads is pure distilled engagement bait, and half the time expanding replies gets stuck loading. I wish I were exaggerating, but I’m not.
X sucks, but Threads is even worse. 99% of everything I have ever seen on Threads is pure distilled engagement bait, and half the time expanding replies gets stuck loading. I wish I were exaggerating, but I’m not.
Keep up the good work
That’s great. The history communities on the other site were such great quality on average and I miss them. How do you have time to do all that?
Oh shit you mean like AskHistorians? Is there enough density now for that?
Personally, I’ve found that LLMs are best as discussion partners, to put it in the broadest terms possible. They do well for things you would use a human discussion partner for IRL.
For anything but criticism of something written, I find that the “spoken conversation” features are most useful. I use it a lot in the car during my commute.
For what it’s worth, in case this makes it sound like I’m a writer and my examples are only writing-related, I’m actually not a writer. I’m a software engineer. The first example can apply to writing an application or a proposal or whatever. Second is basically just therapy. Third is more abstract, and often about indirect self-improvement. There are plenty more things that are good for discussion partners, though. I’m sure anyone reading can come up with a few themselves.
May I ask how you’ve used LLMs so far? Because I hear that type of complaint from a lot of people who have tried to use them mainly to get answers to things, or maybe more broadly to replace their search engine, which is not what they’re best suited for, in my opinion.
I’m not the above poster, but I really appreciate your argument. I think many people overcorrect in their minds about whether or not these models learn the way we do, and they miss the fact that they do behave very similarly to parts of our own systems. I’ve generally found that that overcorrection leads to bad arguments about copyright violation and ethical concerns.
However, your point is very interesting (and it is thankfully independent of that overcorrection). We’ve never had to worry about nonhuman personhood in any amount of seriousness in the past, so it’s strangely not obvious despite how obvious it should be: it’s okay to treat real people as special, even in the face of the arguable personhood of a sufficiently advanced machine. One good reason the machine can be treated differently is because we made it for us, like everything else we make.
I think there still is one related but dangling ethical question. What about machines that are made for us but we decide for whatever reason that they are equivalent in sentience and consciousness to humans?
A human has rights and can take what they’ve learned and make works inspired by it for money, or for someone else to make money through them. They are well within their rights to do so. A machine that we’ve decided is equivalent in sentience to a human, though… can that nonhuman person go take what it’s learned and make works inspired by it so that another person can make money through them?
If they SHOULDN’T be allowed to do that, then it’s notable that this scenario is only separated from what we have now by a gap in technology.
If they SHOULD be allowed to do that (which we could make a good argument for, since we’ve agreed that it is a sentient being) then the technology gap is again notable.
I don’t think the size of the technology gap actually matters here, logically; I think you can hand-wave it away pretty easily and apply it to our current situation rather than a future one. My guess, though, is that the size of the gap is of intuitive importance to anyone thinking about it (I’m no different) and most people would answer one way or the other depending on how big they perceive the technology gap to be.
4K HDR
Normally I use kdenlive to edit video, which supports 4K AFAIK, but although that doesn’t support HDR it looks like DaVinci Resolve supports both.
Taxes
That’s surprising. Turbotax and Quickbooks have online options, and there are a few native apps like GnuCash, but I haven’t used them—TurboTax works for me.
GarageBand
Yeah that’s too bad. I hear good things about Ardour, though. Also, bandlab if you’re okay with a webapp.
Netflix
I only stream on an actual TV, not my computer, so I haven’t done this in a while, but I thought you could do this in Firefox with DRM enabled? If not, seems like there are addons which enable it. Might be outdated knowledge.
vector illustration
Fun is hard to come by
git client
Git clients all suck for me, CLI is the way to go. However, my co-workers that use git clients all use GitKraken (on macOS) and that is available on Linux, too.
screen recording was also painful
Won’t argue with you there. Don’t know why it doesn’t have first-class support in many distros. I hear OBS Studio works well for this if you want to do anything fancy with the recording, otherwise there are plenty of apps for this (Kazam might be a simpler choice).
barely meets my use cases
I think really (considering the above) your main issue is that you just have some strong software preferences. There are certainly ways to meet most if not all of the use cases you listed. It requires a big change in workflow, though.
For what it’s worth, I find that most of the issues with software alternatives in Linux is that everyone often recommends free/GPL replacements, which are invariably worse than the commercial/non-free software the user is used to. But there is paid software in Linux land, too, remember. In my case, I have often found that if I can pay for the software it will be better, and if there’s a webapp version of something non-free it will often be better than the native FOSS alternative. There are many notable exceptions to that rule, but money does solve the occasional headache.
Kind of, in that embedding anything from a site you can’t trust is inherently risky, but I’d say it’s not actually that bad, for two reasons:
It’s even worse on Threads, believe it or not.