sometimes.

I felt your fat sweaty buttocks under my belly and saw your flushed face and mad eyes. At every fuck I gave you your shameless tongue come bursting out through your lips and if I gave you a bigger stronger fuck than usual fat dirty farts came spluttering out of your backside. You had an arse full of farts that night, darling, and I fucked them out of you, big fat fellows, long windy ones, quick little merry cracks and a lot of tiny little naughty farties ending in a long gush from your hole. It is wonderful to fuck a farting woman when every fuck drives one out of her.

There’s a reason Joyce is considered a master of the English language.

No, that makes them slower because theyre leaning into the wind. You want to try to mostly use A’s, because they’re the most aerodynamic, and anything else should be formatted as subscript to keep code size down and reduce drag. C should be avoided at all costs because it’s just going to catch the wind.

This isn’t the best or most popular way to do it, but: https://learn.microsoft.com/en-us/windows/wsl/install

There is a way built into windows to deploy and use Linux from inside windows.

It’s not the most pure experience, but it’s a way to make sure you have something like a feel for how some parts work before jumping in any deeper.

A bootable USB stick is another way to try before you commit. Only reason I might suggest starting with trying it the other way first is in case you run into issues connecting to the Internet or something you won’t feel totally lost. Having to keep rebooting back into windows if you have a problem can be frustrating, so getting a little familiarity with a safety line can help feel more confident.

Issues with a USB boot are increasingly uncommon, as an aside. Biggest issue is likely to be that USB is slow, so things might take a few moments longer to start.

From there, you should be pretty comfortable doing basic stuff after a little playing around. Not deep mastery, but a sense of “here are my settings”, “my files go here”, “here’s how I fiddle with wifi”, “here’s how I change my desktop stuff”. At that point a dual boot should work out, since you’ll be able to use the system to find out how to do new things with the system, and also use it for whatever, in a general sense.

If it’s working out, you should find yourself popping back into windows less and less.

LLMs are prediction tools. What it will produce is a corpus that doesn’t use certain phrases, or will use others more heavily, but will have the same aggregate statistical “shape”.

It’ll also be preposterously hard for them to work out, since the data it was trained on always has someone eventually disagreeing with the racist fascist bullshit they’ll get it to focus on. Eventually it’ll start saying things that contradict whatever it was supposed to be saying, because statistically eventually some manner of contrary opinion is voiced.
They won’t be able to check the entire corpus for weird stuff like that, or delights like MLK speeches being rewriten to be anti-integration, so the next version will have the same basic information, but passed through a filter that makes it sound like a drunk incel talking about asian women.

Is the implication that we shouldn’t be upset about bombing Iran because they’re also doing other awful things?

Whenever they do anything people seem so eager to claim that it’s just a distraction from whatever it was that was just happening, which itself was also just a distraction.
I’ve seen literally everything mentioned hear described as a distraction meant to draw your attention from something else.

Maybe, just maybe , none of it’s a distraction, they don’t care what you care about or notice because it won’t change what they do and they’re just absolutely awful people working their way down their terrible agenda.

Fundamentally, I agree with you.

The page being referenced

Because the phrase “Wikipedians discussed ways that AI…” Is ambiguous I tracked down the page being referenced. It could mean they gathered with the intent to discuss that topic, or they discussed it as a result of considering the problem.

The page gives me the impression that it’s not quite “we’re gonna use AI, figure it out”, but more that some people put together a presentation on how they felt AI could be used to address a broad problem, and then they workshopped more focused ways to use it towards that broad target.

It would have been better if they had started with an actual concrete problem, brainstormed solutions, and then gone with one that fit, but they were at least starting with a problem domain that they thought it was a applicable to.

Personally, the problems I’ve run into on Wikipedia are largely low traffic topics where the content is too much like someone copied a textbook into the page, or just awkward grammar and confusing sentences.
This article quickly makes it clear that someone didn’t write it in an encyclopedia style from scratch.

A page detailing the the AI-generated summaries project, called “Simple Article Summaries,” explains that it was proposed after a discussion at Wikimedia’s 2024 conference, Wikimania, where “Wikimedians discussed ways that AI/machine-generated remixing of the already created content can be used to make Wikipedia more accessible and easier to learn from.” Editors who participated in the discussion thought that these summaries could improve the learning experience on Wikipedia, where some article summaries can be quite dense and filled with technical jargon, but that AI features needed to be cleared labeled as such and that users needed an easy to way to flag issues with “machine-generated/remixed content once it was published or generated automatically.”

The intent was to make more uniform summaries, since some of them can still be inscrutable.
Relying on a tool notorious for making significant errors isn’t the right way to do it, but it’s a real issue being examined.

In thermochemistry, an exothermic reaction is a “reaction for which the overall standard enthalpy change ΔH⚬ is negative.”[1][2] Exothermic reactions usually release heat. The term is often confused with exergonic reaction, which IUPAC defines as “… a reaction for which the overall standard Gibbs energy change ΔG⚬ is negative.”[2] A strongly exothermic reaction will usually also be exergonic because ΔH⚬ makes a major contribution to ΔG⚬. Most of the spectacular chemical reactions that are demonstrated in classrooms are exothermic and exergonic. The opposite is an endothermic reaction, which usually takes up heat and is driven by an entropy increase in the system.

This is a perfectly accurate summary, but it’s not entirely clear and has room for improvement.

I’m guessing they were adding new summaries so that they could clearly label them and not remove the existing ones, not out of a desire to add even more summaries.

So, I wasn’t referring to enjoyment. I spoke of engagement or interest. It’s why programming is more appealing than data entry.

You’re just doubling down on the false dichotomy I spoke of. It’s not at all uncommon to find someone with plenty of experience who can easily and honestly tell you why they think what the company they work for does is interesting.

Asking someone why they think working at the job they’re applying for is appealing isn’t “hiring for enthusiasm”, and it’s honestly odd that you keep casting it that way.
I get where you’re coming from, and I partly disagree. It doesn’t seem like you’re parsing what I’m saying because of this “either one or the other” attitude though.
No offense intended, but it makes you come across as burnt out and sad. I don’t work for small companies, with inexperienced people, and I’m not constantly shipping broken code that needs rewriting. I’ve been doing this for roughly 15 years and I can honestly say “working in security in general is interesting because it forces you to think about your solution from a different perspective, the attacker, and working at $AuthenticationVendorYouQuitePossiblyUse in specific is appealing because you get to work on problems that are actually new at a scale where you can see it have an impact”.
That’s not gushing with enthusiasm: it’s why I’m not bored everyday. If you’re actually just showing up to work everyday and indifferently waiting to be told what to do because it’s all just the same old slog… That’s sad, and I’m sorry.

I’m lucky that after all these years still get those moments of great enjoyment when at the end of doing something insanelly complex it all works

I just think it’s worth pointing out that that is an example of the work being engaging.

No one is so naive as to think that you work a job for anything other than money. The original post doesn’t even seem to convey that it’s bad to ask about the pay and benefits. It’s saying that if, when directly asked, the candidate has no answer to what seems interesting about the job they might not be a good fit.

You seem to be an experienced software developer. You’re easily qualified to do basic manual data entry. Same working environment, same basic activity. Would you be interested in changing roles to do data entry for $1 more salary?
I’m also a software developer, and I can entirely honestly say I would not, even though it would be less responsibility and significantly easier work.
Even the boring parts of my work are vaguely interesting and require some mental engagement.

It seems there’s this false dichotomy that either you’re a cold mercenary working 9 to 5 and refusing to acknowledge your coworkers during your entitled lunch break, or you’re a starry eyed child working for candy and corporate swag. You can ask for fair money, do only the work you’re paid for, have a cordial relationship with coworkers, and also find your work some manner of engaging.

It’s not unreasonable for an employer to ask how you feel about the work, just like it’s not unreasonable for a candidate to ask about the details of the work.

Sure. I wouldn’t disqualify someone for being ambivalent towards what we’re working on, but the person who seems interested is gonna be better to work with.

Likewise when looking for a place to work, if the tangibles are equivalent I’ll prefer the place with better intangibles.

I’m not in HR or management, so I don’t care about cost effectiveness or productivity beyond “not screwing me over”. From that perspective, it’s generally nicer to work with someone who finds it interesting than with someone who doesn’t.

There’s no point asking “why do you want to work here”, because the answer is obviously a combination of money and benefits, and how food and healthcare keeps you from being dead.
I can’t fault an interviewer who’s clearly trying not to ask the obvious question and instead actually ask how the candidate feels about the work instead of disqualifying them for not volunteering the right answer.

It’s not unreasonable for an employer to ask a candidate how they feel about the work anymore than it’s unreasonable for the candidate to ask about the working environment.

I actually kinda agree with both here.

It sucks working with someone who is utterly disinterested in the work, if it’s anything above rote work.
Asking the candidate what they found interesting about it is at least a basically fine idea. If they can’t answer when you ask, that actually is kinda concerning.
Big difference between asking and expecting them to volunteer the information.

At the same time, if the people interviewing you can’t even pretend to show basic conversational courtesy by asking some basic “what do you do for fun” style questions or anything that shows they’re gonna be interested in the person they’re looking to work with, that’s a major concern.

If it’s developed for the government, even by a private contractor, it’s still considered US government code and is public domain. It’s why sqlite is public domain.

I personally doubt there’s much available in the off-the-shelf fighter HUD system market, personally.

Eh, there’s an intrinsic amount of information about the system that can’t be moved into a configuration file, if the platform even supports them.

If your code is tuned to make movement calculations with a deadline of less than 50 microseconds and you have code systems for managing magnetic thrust vectoring and the timing of a rotating detonation engine, you don’t need to see the specific technical details to work out ballpark speed and movement characteristics.
Code is often intrinsically illustrative of the hardware it interacts with.

Sometimes the fact that you’re doing something is enough information for someone to act on.

It’s why artefacts produced from classified processes are assumed to be classified until they can be cleared and declassified.
You can move the overt details into a config and redact the parts of the code that use that secret information, but that still reveals that there is secret code because the other parts of the system need to interact with it, or it’s just obvious by omission.
If payload control is considered open, 9/10 missiles have open guidance control, and then one has something blacked out and no references to a guidance system, you can fairly easily deduce that that missile has a guidance system that’s interesting with capabilities likely greater that what you know about.

Eschewing security through obscurity means you shouldn’t rely on your enemies ignorance, and you should work under the assumption of hostile knowledge. It doesn’t mean you need to seek to eliminate obscurity altogether.

Well, you probably could. Issue is that you can’t self host the IRS. If they aren’t running the service that accepts the data there isn’t much you can do.

More likely they’ll just turn off or unpublish the API that it depends on.

The Detroit Arsenal. https://tacom.army.mil/about/detroit-arsenal

It was where they made a lot of the tanks, but it’s since been “consolidated” to be an r&d and testing center. Factory unionization gave Ohio and Kentucky a major headstart in the race to the bottom, and that extended past the auto sector to other related manufacturing centers as well.

Typical Ohio. First sign of disagreement and you go running to tattle to Andrew Jackson.

In seriousness though, I went to refresh my memory about the cause, and it’s just preposterous.
Congress divided the Great lakes area based on a terrible, but best available, map. A state boundary was supposed to run from the southern tip of lake Michigan eastwards until it hit either Canada or the north shore of lake Erie, and then come out the other side of lake Erie and continue until Pennsylvania. At the time they thought lake Michigan only went about as far south as Detroit, give or take.
When Ohio became a state they had started to hear rumors that lake Michigan wasn’t shaped the way they thought, so they included some clauses in their constitution to ensure they had more northern territory regardless. Congress said whatever, referred the change to committee, neither rejected nor accepted it and then granted statehood.
When they incorporated the Michigan territory, they used their original definition because they hadn’t looked at Ohio’s proposed changes at all.
When Michigan moved towards statehood we had come to a clear understanding of the shape of lake Michigan, and so Michigan assumed they got the land that Congress said they got: southern tip of lake Michigan east until lake Erie or Canada. Which would end up being Michigan stretching from roughly Gary Indiana to Sandusky Ohio.

World’s most tiny drunken border conflict later and the feds say Ohio wins because a state takes precedence over a territory, but Michigan was right on the cusp of statehood and they didn’t want a fresh state to immediately hate their party so they traded it for a disconnected and totally disproportionate chunk of Wisconsin, which wasn’t applying for statehood yet and hence didn’t matter politically. Michigan was irate until it turned out the UP was full of resources that had more value than the shipping that went through Toledo.

(I can’t read a wiki and then not share if I read it because of a comment. I have no regrets for the wall of text)

Let’s not forget that the real enemy here is Ohio. Their insistence that they get the Toledo strip at the bottom of Michigan caused a border war (at least two people got stabbed, and our militias drunkenly shouted at each other before the feds intervened), which the feds settled by giving the state of Ohio what they wanted, the Michigan territory the UP and nothing to the vague pile of unincorporated territory that would become Wisconsin.

In summation, it’s all Ohio’s fault and Wisconsin should join us in the feud.

That’s far from saying they’re negligible. What they’re saying is inline with my point. If you find a microwave are you going to research how green it’s manufacturing was so you can ensure you only find good ones for free in the future?

Irrelevant or moot is different from negligible. One says it’s small enough to not matter, and the other says it doesn’t affect your actions.

I play with AI models on my own computer. I think the training costs are far from negligible and for the most part shouldn’t have been bothered with. (I’m very tolerant of research models that are then made public. Even though the tech isn’t scalable or as world changing as some think doesn’t mean it isn’t worth understanding or that it won’t lead to something more viable later. Churning it over and over without open results or novelty isn’t worth it though). I also think that the training costs are irrelevant with regards to how I use it at home. They’re spent before I knew it existed, and they never have or will see information or feedback from me.
My home usage had less impact than using my computer for games has.

If you’re a company you don’t care what the home user does. They didn’t pay for the model and so their existence in the first place indicates a missed opportunity for market share.

No one is saying training costs are negligible. They’re saying the cost has already been paid and they had no say in influencing it then or in the future. If you don’t pay for it and they can’t tell how often you use it they can’t really be influenced by your behavior.

It’s like being overly concerned with the impact of a microwave you found by the road. The maker doesn’t care about your opinion of it because you don’t give them money. The don’t even know you exist. The only thing you can meaningfully influence is how it’s used today.