MudMan

joined 1 year ago
[–] [email protected] 6 points 10 months ago

There's a bit of a hump you get over, though. I've been recently doing some long franchise-wide marathons and once I got into the groove it was surprisingly nostalgic. It recaptured that feeling of coming back from school and just playing games until I got called for dinner.

I do understand that when I lose that flow I REALLY lose that flow. Not sure if it's age or distractions or what. All I'm saying is you can get it back and it does feel good when you manage it.

[–] [email protected] 2 points 10 months ago

I get it, I do. I've been a migrant in a place with a language barrier on top of sharing that general feeling, so... yeah, sure. In principle.

But the times I've used it it's twice the anxiety, in that I keep fearing I'll mess up and need help, which is orders of magnitude worse than having to go through the register. Just the potential of issues is enough to deter me, but the times I've had the scales mess up or the payment method not go through were excruciating.

[–] [email protected] 1 points 10 months ago

Yeah, at this point they're only making these because they don't make any major changes and it probably has a bunch of synergies with their camera business anyway.

Between my post and yours I actually got the belated Android 14 update for my 2021 device, which is supposed to be probably the last major update it'll get. Aaaand it's missing the one feature I was looking forward to using.

So not great, and if anybody makes a similar set of specs on a flagship elsewhere I'll move on to that, I have no brand loyalty at play here. But there's literally no other option to match in the flagship space at all. Even gaming phones have started dropping some of these common sense features.

[–] [email protected] 4 points 10 months ago

To be clear about what I'm saying, the setup is subtitles in the same language as the audio. So if you're learning French you set French audio with French subtitles.

That REALLY helps bind the pronuntiation to the writing and it actually makes it far easier to understand the speech. Assuming you're reading the subtitles at the same time, of course.

You won't understand a lot of it, and you'll have to put up with the frustration of losing the plot often for a while, but it does help, in my experience.

Subtitles in your own native language just make you tune out the audio and read the dialogue. That's not helpful.

[–] [email protected] 21 points 10 months ago (2 children)

Is the idea to go back to having a SD card slot, dual sim and a headphone jack? No? Because that's why my last Samsung was a S10.

Oh, well, back to my Xperia. Hang in there Sony, all seven of us left still need you even if your software all comes from one intern you keep tied to a broken PS5 in the basement.

[–] [email protected] 8 points 10 months ago* (last edited 10 months ago) (2 children)

This is the answer. The answer is Netflix and Youtube. Anything with media using both audio and subtitles in the language you're trying to learn.

You still need a teacher to get you past learning enough basics of vocabulary and grammar to get started (and no, language learning apps are probably not an effective way past that) but once you have enough basic words and you understand how a sentence is put together the answer is to watch media even if you don't fully understand what's being said, paying attention and stopping sometimes to use dictionaries and translators to get you there on sentences you almost get.

I know people who spent years spinning their wheels on learning apps while refusing to sit through media in the target language because they get frustrated or tired by the effort of trying to keep up. It's a bit annoying, but it really works.

[–] [email protected] 2 points 10 months ago

I don't disagree on principle, but I do think it requires some thought.

Also, that's still a pretty significant backstop. You basically would need models to have a way to check generated content for copyright, in the way Youtube does, for instance. And that is already a big debate, whether enforcing that requirement is affordable to anybody but the big companies.

But hey, maybe we can solve both issues the same way. We sure as hell need a better way to handle mass human-produced content and its interactions with IP. The current system does not work and it grandfathers in the big players in UGC, so whatever we come up with should work for both human and computer-generated content.

[–] [email protected] 5 points 10 months ago

That's not "coming", it's an ongoing process that has been going on for a couple hundred years, and it absolutely does not require ChatGPT.

People genuinely underestimate how many of these things have been an ongoing concern. A lot like crypto isn't that different to what you can do with a server, "AI" isn't a magic key that unlocks automation. I don't even know how this mental model works. Is the idea that companies who are currently hiring millions of copywriters will just rely on automated tools? I get that yeah, a bunch of call center people may get removed (again, a process that has been ongoing for decades), but how is compensating Facebook for scrubbing their social media posts for text data going to make that happen less?

Again, I think people don't understand the parameters of the problem, which is different from saying that there is no problem here. If anything the conversation is a net positive in that we should have been having it in 2010 when Amazon and Facebook and Google were all-in on this process already through both ML tools and other forms of data analysis.

[–] [email protected] 7 points 10 months ago (2 children)

I'm gonna say those circumstances changed when digital copies and the Internet became a thing, but at least we're having the conversation now, I suppose.

I agree that ML image and text generation can create something that breaks copyright. You for sure can duplicate images or use copyrighted characterrs. This is also true of Youtube videos and Tiktoks and a lot of human-created art. I think it's a fascinated question to ponder whether the infraction is in what the tool generates (i.e. did it make a picture of Spider-Man and sell it to you for money, whcih is under copyright and thus can't be used that way) or is the infraction in the ingest that enables it to do that (i.e. it learned on pictures of Spider-Man available on the Internet, and thus all output is tainted because the images are copyrighted).

The first option makes more sense to me than the second, but if I'm being honest I don't know if the entire framework makes sense at this point at all.

[–] [email protected] 6 points 10 months ago

A lot of this can be traced back to the invention of photography, which is a fun point of reference, if one goes to dig up the debate at the time.

In any case, the idea that humans can only produce so fast for so long and somehow that cleans the channel just doesn't track. We are flooded by low quality content enabled by social media. There's seven billion of us two or three billion of those are on social platforms and a whole bunch of the content being shared in channels is created by using corporate tools to make stuff by pointing phones at it. I guarantee that people will still go to museums to look at art regardless of how much cookie cutter AI stuff gets shared.

However, I absolutely wouldn't want a handful of corporations to have the ability to empower their employed artists with tools to run 10x faster than freelance artists. That is a horrifying proposition. Art is art. The difficulty isn't in making the thing technically (say hello, Marcel Duchamp, I bet you thought you had already litgated this). Artists are gonna art, but it's important that nobody has a monopoly on the tools to make art.

[–] [email protected] 3 points 10 months ago

It's not right to say that ML output isn't good at practical tasks. It is and it's already in use and has been for ages. The conversation about these is guided by the relatively anecdotal fact that chatbots and image generation got good so this stuff went viral, but ML models are being used for a bunch of practical uses, from speeding up repetitive, time consuming tasks (e.g. cleaning up motion capture, facial modelling or lip animation in games and movies) or specialized tasks (so much science research is using ML tools these days).

Now, a lot of those are done using fully owned datasets, but not all, and the ramifications there are also important. People dramatically overestimate the impact of trash product flooding channels (which is already the case, as you say) and dramatically underestimate the applications of the underlying tech beyond the couple of viral apps they only got access to recently.

[–] [email protected] 8 points 10 months ago

Yep. The effect of this as currently framed is that you get data ownership clauses in EULAs forever and only major data brokers like Google or Meta can afford to use this tech at all. It's not even a new scenario, it already happened when those exact companies were pushing facial recognition and other big data tools.

I agree that the basics of modern copyright don't work great with ML in the mix (or with the Internet in the mix, while we're at it), but people are leaning on the viral negativity to slip by very unwanted consequences before anybody can make a case for good use of the tech.

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