what really confuses me is how the FDA approves this without a few more years of animal testing and protocol refinement.

dead internet, here we go!

maybe even integration with uBlock if possible?

I don’t get what the obsession with big phones is. Is it that most people really want big phones or that companies can charge more for them?

Is there a database tracking companies that start out with good intentions and then eventually gets bought out or sells out their initial values? I’m wondering what the deciding factors are, and how long it takes for them to turn.

I think many have also been wondering about version control of legislation/law documents for some time as well. But I never understand why it’s not realized yet.

How is the entity or power that has the ability to grant me such knowledge connected to the existence of the universe?

seriously, how bad must it be to change name to clean up their image? We all expect this industry is controversial.

The only recent thing I remember about Pornhub is the current blocking in certain states as protest to the age verification requirement. That seems like a plus in my book that they stand up for privacy and internet use. Changing the name seems like it might dilute their stance.

did not know “kidinfluencer” is a thing. the exploitative, child labor nature of such concept, the detrimental mental health effects of such practice, on kids no less. definitely something we can live without.

As much as I despise snap, this instance bring some questions into how other popular cross-linux platform app stores like flathub and nix-channels/packages provide guardrails against malwares.

I’m aware flathub has a “verified” checks for packages from the same maintainers/developers, but I’m unsure about nix-channels. Even then, flathub packages are not reviewed by anyone, are they?

Looking forward to someone bringing this up when discussing the ongoing died-but-somehow-always-revived legislations that would introduce backdoors for encryption for government

what’s the difference between flatsweep and using flatpak uninstall —unused —delete-data?

Hold up, are you sure you can’t view Discussions or Wiki? Which sites can you not view them?

I’m fine viewing them for public repos that I usually visit.

Asking to make sure that Github is not slowly rolling out this lockdown.

here are a few options that I see but never actually use.

• contact https://wiki.archiveteam.org/; they have some reddit related archival activities going on
• more academic type and will be very helpful for researchers:
  • https://zenodo.org/
  • https://figshare.com/ (this I’ve used and very easy)
  • https://datadryad.org/
  • https://academictorrents.com/ (pushshift archives are also on here)
  • https://socialmediaarchive.org/

Your data don’t seem to be massive compared to the types of data people store on there. So I don’t think it’s gonna be an issue. Plus, if you deposit your data in 1 archivist place + 1 research place, the data may be used by more people. Don’t forget about licenses btw.

EDIT: added https://socialmediaarchive.org/ to the list, just found out about that.

Others have mentioned using interactive tools like zoxide to easily get to frequently visited directories.

In addition, I also use nnn (https://github.com/jarun/nnn), which is a terminal file manager that you can navigate through. You can create shortcuts, snippets and bookmarks with this. I use this and zoxide + fzf regularly on CLI to navigate.

Some here also mention ranger, which is another terminal file manager. In my limited experience with ranger, I feel like the start up time is much slower than nnn; but I haven’t tried much. Tho with ranger + graphic-accelerated terminals like kitty, I believe you can preview images and files, which seems to be a great feature. So it depends on your need.

The smell of gasoline and paint. Not sure how weird it is.

a follow might be: Do the people know better vote? Can they?

yeah agreed with your sentiment. I think it’s good to have an intuition about something, but it’s much better when there’s data to back it up.

Cuz then, they can do the same with others, say Youtube or other streaming services, and start to compare the numbers, like % of ads, what types of ads, how long are the ads relative to content, how many of these ads are political, how many of these ads may be harmful, …

Having these numbers can be quite handy for other researchers and regulators to look into these issues more concretely, rather than just say, “as your brothers and sisters already know, tiktok serves ads”

This reminds me of an artistic experiment that I heard of from Lauren McCarthy about how she went on a date and was streaming the entire date for people to watch, as well as giving her things to say/do. I believe they ended up marrying. I might have butchered the description as I couldn’t remember the exact details. I wonder what folks think of the comparison with this.

While a small kinda innocuous example, this seems to showcase how trust can start to erode with these technologies in an implicit inconspicuous way.

Along the same line of this, when art students enter in their portfolios in schools/competition, some may use generative tech, some may not. Would the admissions office reject them because they have doubts about the tools used to generate? Would they be transparent in such decisions? Anyone have thoughts/insights on this?

The other way around (use AI to judge a submission/applicant) is also currently complicated and controversial, at least with new legislation in New York on transparency and accountability when companies use AI for hiring/screening applications (https://www.technologyreview.com/2023/07/10/1076013/new-york-ai-hiring-law/)

as much as I would really like that, that’s a catch-all statement that is not realistic. Unfortunately google has its claws in enterprises, universities and organizations all over the world, across so many domains.

I don’t believe “stop using” is good enough, as it seems only a very small minority realistically could.

This needs to be paired with proper legislation, like others have said, from EU as an example.

If you have friends/family with Google employees, please raise this issue up with them. This also needs to come internally as well, in addition to top-down processes from regulation.

I’m out of the loop here. I thought Cantonese is popularly spoken in China (and other parts of the world with Chinese immigrants/descendants). So even in China (like Guangdong), is Cantonese used very limitedly?

I believe with humans, the limitations of our capacity to know, create, learn, and the limited contexts that we apply such knowledge and skills may actually be better for creativity and relatability - knowing everything may not always be optimal, especially when it is something about subjective experience. Plus, such limitations may also protect creators from certain claims about copyright, 1 idea can come from many independent creators, and can be implemented briefly similar or vastly different. And usually, we, as humans, develop a sense of work ethics to attribute the inspirations of our work. There are other who steal ideas without attribution as well, but that’s where laws come in to settle it.

On the side of tech companies using their work to train, AI gen tech is learning at a vastly different scale, slurping up their work without attributing them. If we’re talking about the mechanism of creativity, AI gen tech seems to be given a huge advantage already. Plus, artists/creators learn and create their work, usually with some contexts, sometimes with meaning. Excluding commercial works, I’m not entirely sure the products AI gen tech creates carry such specificity. Maybe it does, with some interpretation?

Anyway, I think the larger debate here is about compensation and attribution. How is it fair for big companies with a lot of money to take creators’ work, without (or minimal) paying/attributing them, while those companies then use these technologies to make more money?

EDIT: replace AI with gen(erative) tech

while I agree it has become more of a common knowledge that they’re unreliable, this can add on to the myriad of examples for corporations, big organizations and government to abstain from using them, or at least be informed about these various cases with their nuances to know how to integrate them.

Why? I think partly because many of these organizations are racing to adopt them, for cost-cutting purposes, to chase the hype, or too slow to regulate them, … and there are/could still be very good uses that justify it in the first place.

I don’t think it’s good enough to have a blanket conception to not trust them completely. I think we need multiple examples of the good, the bad and the questionable in different domains to inform the people in charge, the people using them, and the people who might be affected by their use.

Kinda like the recent event at DefCon trying to exploit LLMs, it’s not enough we have some intuition about their harms, the people at the event aim to demonstrate the extremes of such harms AFAIK. These efforts can help inform developers/researchers to mitigate them, as well as showing concretely to anyone trying to adopt them how harmful they could be.

Regulators also need these examples in specific domains so they may be informed on how to create policies on them, sometimes building or modifying already existing policies of such domains.

tell me more about the “almost” part …

has anyone made a data request, especially GDPR, to confirm this?

I’ve been seeing quite many older posts from 2-3 years ago popping up lately. Wonder why.

lol there really is an xkcd for everything!

lol I know you’re kidding, but there’s implication of those willing to get things implanted. Society seems to run on hype nowadays. Look at AI and how fast people are jumping on board with trying it, sometimes out of FOMO. Not to say there’s no merit, but if that FOMO feeling spreads real quick, without proper guardrails, Musk will eventually get what he wants.

what do you mean? Aren’t those 2 in the back supposed to be mannequins? Do you mean those are generated?

wouldn’t this be a general problem of most, if not all, app store, not exclusively to Apple or Google ecosystem?

lol I know it’s a GUI. I asked not to be snarky but to know whether functionally they do the same thing, so I/people who have used the CLI can evaluate whether we miss anything when using that command.

omg this is like me with hotsauce. I found that subreddit a long time ago, and it was just so filled with awesome recommendations and reviews. There’s one on lemmy (just created I think) and people are slowly creating content on there. So I guess there’s hope!

you should try to ask the same question using xAI / Grok if possible. May also ask ChatGPT about Altman as well

I’m confused. What is the connection between using a VPN and witness tampering? Anyone care to explain?

darn, this is kinda sad. This is like research on existing works, rather than generating new ones and potentially exploiting them without attribution. It’s like another way of consuming and interpreting the content, much like how we read/watch books/movies and interpret them. We really are moving too quickly and it’s hard to have these conversations in a meaningful way.

maybe port over some of your previous videos to grow content on peertube as well if it’s possible. not sure if there’s any legal issue with this tho.

This is straight out of the movie “The Congress”

On a tangential note of another comment about AI training and such, this is a touchy and evolving subject, but it might be good to include how you want your content to be used and not be used, and by whom, especially if you intend to make them public.

welp, guess you’re right. It’s not common but not just a few someone’s either.

https://en.m.wikipedia.org/wiki/Human%E2%80%93animal_breastfeeding