obligatory navier-stokes equation

Grandiloquent/sesquipedalian. It’s what you get when you use everything in this thread ₍^ >ヮ<^₎ .ᐟ.ᐟ

_/s

Specifically, it refers to a deep understanding.

[A critic] notes that [the coiner’s] first intensional definition is simply “to drink”, but that this is only a metaphor “much as English ‘I see’ often means the same as ‘I understand’”. (from Wikipedia)

When you claim to “grok” some knowledge or technique, you are asserting that you have not merely learned it in a detached instrumental way but that it has become part of you, part of your identity. For example, to say that you “know” Lisp is simply to assert that you can code in it if necessary – but to say you “grok” Lisp is to claim that you have deeply entered the world-view and spirit of the language, with the implication that it has transformed your view of programming. Contrast zen, which is a similar supernatural understanding experienced as a single brief flash. (The Jargon File; also quoted on Wikipedia)

In 2003, Bill Burr wrote “NIST Special Publication 800-63. Appendix A” – a security document that recommended passwords be changed every 90 days, and have irregular caps and special characters. When asked about it, and the resultant trends in people adding !@#$%^&*() to the end of their passwords, Burr said something enlightening:

“Much of what I did I now regret.”

Lmao

so yeah I hit the Bitwarden generate button and forget

Whoa, I didn’t know about this! My trustworthy beloved orange apps were sold to ZipoApps, a company that flips apps into ad revenue.

But has anything changed for the worse yet? I don’t see any odd commits in the history (e.g. Draw). I’ll probably just lock the F-Droid version of the Simple gear I can’t switch.

-1 accuracy point ( ◞ ﹏ ◟)

linux 4.5-rc5 had efivarfs fixed to prevent “rm -rf /” bricking uefi motherboards – so maybe someone can try it out? :]

Thanks for the detailed reply! :P

I’d like to converse with every part of what you pointed out – real discussions are always exciting!

…they pay the journals, not the other way around…

Yes of course. It’s not at all relevant?

It’s arguably relevant. Researchers pay journals to display their years of work, then these journals resell those years of work to AI companies who send indirect pressure to researchers for more work. It’s a form of labor where the pay direction is reversed. Yes, researchers are aware that their papers can be used for profit (like medical tech) but they didn’t conceive that it would be sold en masse to ethically dubious, historically copyright-violating, pollution-heavy server farms. Now, I see that you don’t agree with this, since you say:

…not only is it very literally transparent and most models open-weight, and most libraries open-source, but it’s making knowledge massively more accessible.

but I can’t help but feel obliged to share the following evidence.

1. Though a Stanford report notes that most new models are open source (Lynch, 2024), the models with the most market-share (see this Forbes list) are not open-source. Of those fifty, only Cleanlab, Cohere, Hugging Face (duh), LangChain (among other Python stuff like scikit-learn or tensorflow), Weaviate, TogetherAI and notably Mistral are open source. Among the giants, OpenAI’s GPT-4 et al., Claude, and Gemini are closed-source, though Meta’s LLaMa is open-source.
2. Transparency is… I’ll cede that it is improving! But it’s also lacking. According to the Stanford 2024 Foundation Model Transparency Index, which uses 100 indicators such as data filtration transparency, copyright transparency, and pollution transparency (Bommasani et al., 2024, p. 27 fig. 8), developers were opaque, including open-source developers. The pertinent summary notes that the mean FMTI company score improved from 37 to 58 over the last year, but information about copyright data, licenses, and guardrails have remained opaque.

I see you also argue that:

With [the decline of effort in average people’s fact-finding] in mind I see no reason not to feed [AI] products of the scientific method, [which is] the most rigorous and highest solution to the problems of epistemology we’ve come up with thus far.

And… I partly agree with you on this. As another commenter said, “[AI] is not going back in the bottle”, so might as well make it not totally hallucinatory. Of course, this should be done in an ethical way, one that respects the rights to the data of all involved.

But about your next point regarding data usage:

…if you actually read the terms and conditions when you signed up to Facebook… and if you listened to the experts then you and these artists would not feel like you were being treated unfairly, because not only did you allow it to happen, you all encouraged it. Now that it might actually be used for good, you are upset. It’s disheartening. I’m sorry, most of you signed it all away by 2006. Data is forever.

That’s a mischaracterization of a lot of views. Yes, a lot of people willfully ignored surveillance capitalism, but we never encouraged it, nor did we ever change our stance from affirmatory to negative because the data we intentionally or inadvertently produced began to be “used for good”. One of the earliest surveillance capitalism investigators, Harvard Business School professor Shoshana Zuboff, confirms that we were just scared and uneducated about these things outside of our control.

“Every single piece of research, going all the way back to the early 2000s, shows that whenever you expose people to what’s really going on behind the scenes with surveillance capitalism, they don’t want anything to do [with] it. The only reason we keep engaging with it is because we feel like we have no choice. …[it] is a colossal market failure. Because it is not giving people what people want. …everything that’s inside that choice [i.e. the choice of picking between convenience and privacy] has been designed to keep us in ignorance.” (Kulwin, 2019)

This kind of thing – corporate giants giving up thousands of papers to AI – is another instance of people being scared. But it’s not fearmongering. Fearmongering implies that we’re making up fright where it doesn’t really exist; however, there is indeed an awful, fear-inducing precedent set by this action. Researchers now have to live with the idea that corporations, these vast economic superpowers, can suddenly and easily pivot into using all of their content to fuel AI and make millions. This is the same content they spent years on, that they intended for open use in objectively humanity-supporting manners by peers, the same content they had few alternative options for storage/publishing/hosting other than said publishers. Yes, they signed the ToS and now they’re eating it. We’re evolving towards the future at breakneck pace – what’s next? they worry, what’s next?

(Comment 1/2)

Lots of good answers here but I’ll toss in my own “figure out what you need” experience from my first firewall funtime. (Disclaimer: I used nftables – it should be similar to ufw in terms of defaults though).

• Right off the bat, everything unneeded was blocked. I “needed” no configuration, except for maybe…
• Whatever CUPS runs on (when I use it)
• Sometimes I ran python -m http.server – I unblocked port 8000 for personal use.
• I chose to unblock port 53 (DNS). I wanted to connect to another computer via hostname IIRC (e.g. connecting to raspberry-pi.local. I might be misremembering this though).
• At one point I played with NGINX – that’s port 80 (HTTP) and port 443 (HTTPS).
• SSH was already permitted (port 22 – you need root access to enable traffic through ports below 1024 anyway so this wasn’t an issue for running typical apps)

I didn’t use WireShark back then, really. I think I just ran something like

sudo lsof -nP -iTCP -sTCP:LISTEN

which showed me a bunch of port traffic (mostly just harmless language servers).

You don’t have to dive to deep into all the “egress” and “ingress” and whatnot unless you’re doing something special. Or your software uses a weird port. (LocalSend lol)

Hmm, that makes sense. The toothpaste can’t go back into the tube, so they’re going a bit deeper to get a bit higher.

That does shift my opinion a bit – something bad is at least being made better – although the “let’s use more content-that-wants-to-be-open in our closed-content” is still a consternation.

Obligatory Linux comment (Lemmy moment):

Windows is used often for its compatibility and defaultness but Linux is interesting in the sense that everything is patchable, everything is tinkerable and configurable. The low resistance to tinkering makes lots of Linux users tinkerers – including tinkering via code.

I’m not saying wipe your hard drive or even dual-boot. Maybe an older computer or VM could help, depending on what you have. But just in the past week I’ve screwed around in low-to-medium-difficulty Linux projects that configured my lockscreen with C, that implemented mildly usable desktop GUIs with TypeScript, among others – just not-too-committal stuff that has a return value I literally see every time I lock my computer.

Windows equivalent projects can be harsher on the beginning-to-intermediate curve (back when I first tried out Linux Mint, I’d been struggling to make a bookmark inspector in Visual Studio – ended up Pythoning it instead) – not to say that Windows fun is by any means out-of-reach.

My friends Leetcoded and Codeforced quite a lot. Advent of Code is up there too, with the interesting caveat that Advent of Code also teaches you refactoring (due to the two-part nature of every problem).

However, when I was younger I had contempt for the whiteboard-problem-esque appearances of these, but everyone is different.

If you look hard enough there is always a project at medium difficulty – not way too hard, like a huge project you feel won’t give you returns – not way too easy, like some cowsay clone. Ever tried making a blog? You can host for free on most Git pages implementations (codeberg, github, gitlab…).

As for programming books, consider trying security books like Art of Exploitation – in the same strain, CTFs can use a decent amount of code, and they’re fun in terms of raw problem-solving. I started with the Bandit wargame, which does Linux problem solving from any machine that has SSH.

I’m not by any means a l33t hax3r but I found them pretty fun in my learning journey.

Despite the downvotes I’m interested why you think this way…

The common Lemmy view is that morally, papers are meant to contribute to the sum of human knowledge as a whole, and therefore (1) shouldn’t be paywalled in a way unfair to authors and reviewers – they pay the journals, not the other way around – and (2) closed-source artificially intelligent word guessers make money off of content that isn’t their own, in ways that said content-makers have little agency or say, without contributing back to the sum of human knowledge by being open-source or transparent (Lemmy has a distaste for the cloisters of venture capital and multibillion-parameter server farms).

So it’s not about using AI or not but about the lack of self-determination and transparency, e.g. an artist getting their style copied because they paid an art gallery to display it, and the art gallery traded rights to image generation companies without the artists’ say (although it can be argued that the artists signed the ToS, though there aren’t any viable alternatives to avoiding the signing).

I’m happy to listen if you differ!

Isn’t that because the peers also write stuff? So it’s not just a fixed delay on one-by-one papers, but a delay that goes between peers’ periods of working on papers too.

First thing I’d ever seen on the darknet was this bad boy. (Not that it was a terribly efficient way to get an epub.)

Such a bottom-up book. Almost gave up back then, thinking I wouldn’t be able to handle assembly, but then what would the point of reading about the hacker mindset be?

Lmao it’s not Lemmy without Linux

_noh8

Oh, you’re right. You just pass the -d detach flag. I stand corrected!

According to tab autocomplete…

$ git
zsh: do you wish to see all 141 possibilities (141 lines)?

But what about the sub options?

$ git clone https://github.com/git/git
$ cd git/builtin
# looking through source, options seem to be declared by OPT
# except for if statements, OPT_END, bug checks, etc.
$ grep -R OPT_ | grep --invert-match --count -E \
"OPT_END|BUG_ON_OPT|if |PARSE_OPT|;$|struct|#define"
1517

Maybe 1500 or so as an upper bound.

Huh, TIL.

To be fair, git switch was also derived from the features of git checkout in >2.23, but like git restore, the manual page warns that behavior may change, and neither are in my muscle memory (lmao).

I’ll probably keep using checkout since it takes less kb in my head. Besides, we still have to use checkout for checking out a previous commit, even if I learn the more ergonomically appropriate switch and restore. No deprecation here so…

edit: maybe I got that java 8 mindset

It probably is, but I think their main point is the protest against the age-old delineation into “GUI vs CLI” camps. I’m not saying that you’re elitist, even if your statement might be interpreted as such (it’s hard to communicate tone online but the quotations around “their workflow” could appear mocking), but regarding the structure of your statement, I had a “Windows users are all button-presser noobs” phase and would’ve typed something similar about the Git CLI if time was decently rewound (sans the kindness of a “use what you like” statement). They could be interpreting your statement as a propagation of the anti-GUI stereotyping.

Evidently they prefer GUI but can effectively use the CLI – no one disagrees that the CLI is more functional.

I definitely agree. Back then, the bad stuff was often more… innocent, grassroots-ish? (With exceptions.) Like, if you stumbled on a cartel beheading then no one was trying to sell anything to you.

Nowadays it’s markedly more corporate – there is ad revenue in constructing an extremist pipeline, and anyone can see how content has sprung up to assume that vacuum. (Try opening a private browser tab and watching only Ben Shapiro videos. The algorithm will eventually point you to Trump conspiracy videos with AI voiceovers. Last time I did this was before Cambridge Analytica changed their name to Emerdata though so I’m not sure if it’s the same.)

One thing: you mentioned that there was a pipeline in “‘fun’ kids content”. I’ve only seen stuff like that directed at early, questioning teens (the Discord offensive-jokester type) – does this “‘fun’ kids content” thing target even younger ages now? Because I’ve yet to hear of that.