Really you’re not from the US? I was so positive. Sorry for assuming

Climate change is there though. It’s not yet reached the “death by the millions” point, but that point being inevitable now, a nation could start thinking about the potential benefits from being the first to strike.

Of course you regulate software in the abstract. Have you ever heard of the regulations concerning onboard navigation software in planes? It’s really strict, and mechanics and engineers that work on that are monitored.

Better exemple: do you think people who work on the targeting algorithms in missiles are allowed to chat about the specifics of their algorithms with chat gpt? Because they aren’t.

Do they really? Carving into people’s flesh causes controversy? The US sure is wild.

Even if some of my examples do cause controversy in the US sometimes (I do realize you lot tend to fantasize free speech as an absolute rather than a freedom that - although very important - is always weighed against all the other very important rights like security and body autonomy) they do stand as examples of limits to free speech that are generally accepted by the large majority. Enough that those controversies don’t generally end up in blanket decriminalization of mutilation and vandalism. So I still refute that my stance is not “the default opinion”. It may be rarely formulated this way, but I posit that the absolutism you defend is, in actuality, the rarer opinion of the two.

The example of restriction of free speech your initial comment develops upon is a fringe consequence of the law in question and doesn’t even restrict the information from circulating, only the tools you can use to write it. My point is that this is not at all uncommon in law, even in american law, and that it does not, in fact, prevent information from circulating.

The fact that you fail to describe why circulation of information is important for a healthy society makes your answer really vague. The single example you give doesn’t help : if scientific and tech-related information were free to circulate scientists wouldn’t use sci-hub. And if it were the main idea, universities would be free in the US (the country that values free speech the most) rather than in European countries that have a much more relative viewpoint on it. The well known “everything is political” is the reason why you don’t restrict free speech to explicitly political statements. How would you draw the line by law? It’s easier and more efficient to make the right general, and then create exceptions on a case-by-case basis (confidential information, hate speech, calls for violence, threats of murder…)

Should confidential information be allowed to circulate to Putin from your ex-President then?

Oh yeah? And which restriction of free speech illustrating my previous comment would is even remotely controversial, do you think?

I’ve actually stated explicitly before why I believe it is a thing: to protect political dissent from being criminalized. Why do you think it is a thing?

Yeah, a bunch of speech is restricted. Restricting speech isn’t in itself bad, it’s generally only a problem when it’s used to oppress political opposition. But copyrights, hate speech, death threats, doxxing, personal data, defense related confidentiality… Those are all kinds of speech that are strictly regulated when they’re not outright banned, for the express purpose of guaranteeing safety, and it’s generally accepted.

In this case it’s not even restricting the content of speech. Only a very special kind of medium that consists in generating speech through an unreliably understood method of rock carving is restricted, and only when applied to what is argued as a sensitive subject. The content of the speech isn’t even in question. You can’t carve a cyber security text in the flesh of an unwilling human either, or even paint it on someone’s property, but you can just generate exactly the same speech with a pen and paper and it’s a-okay.

If your point isn’t that the unrelated scenarios in your original comment are somehow the next step, I still don’t see how that’s bad.

I guess let’s deregulate guns then. Oh wait.

Not everything is a slippery slope. In this case the scenario where learning about cybersecurity is even slightly hinderedby this law doesn’t sound particularly convincing in your comment.

It means your whining about some gay guys acting inappropriately towards you

1. doesn’t somehow justify saying absolutely vile homophobic shit like “normal straight people get the willies when gay guys hit on them”,

2. does not somehow justify homophobia in general nor its conservative apologists and therefore

3. is incredibly tone deaf in this precise context.

The sphynx comes with health concerns as well. And discrimination from other cats which is less the breeder’s fault but can’t be fun.

I was not. My point was just that this post has a sort of linguistic playing going on that that first tldr didn’t follow, but you didn’t also so… I don’t know why I try. I just found it fun.

What is this discussion? Did y’all not grasp what was going on with that first Bing talk? I was just trying to stop you guys and gals using that symbol willy nilly; nobody’s actually apologizing for Bing

How about “most famous and trustworthy virtual information vault”? Or is that too much?

Did you just ruin it to tldr an info that’s just a Bing away?

Oulipo is chock full of amazing linguistic training propositions isn’t it?

May I submit a formulation akin to “I got what you did thusly”?

How surprising! I thought that symbol most popular in “La disparition”'s original localism, but this wiki says this translation’s vocabulary has a similar proportion and thus - probably - a similar difficulty.

That’s absolutely true, generative AI is mostly a parlor trick with very few applications beyond placeholder art and faster replies to emails. But even for your kind of engineering problem, there’s still a big issue that’s often disregarded.

If we keep your example of an AI for a city grid, an important aspect of this type of engineering problem is guaranteeing that the system has as few catastrophic failures as possible (usually guaranteeing less than 1 for every 10⁹ hours of uptime for systems where catastrophic means a certain quantity of dead bodies or high monetary costs, like a city grid, train signalization, flight control…). AI models may very well end up being discarded in those problems because even if you observe a better accuracy in simulations and experiments, mathematically proving this 10⁹ figure is impossible because we don’t know how they work. Proving a threshold experimentally can happen, but a 10⁹ number would require something like centuries of concurrent testing in every city in the world… I’ve just had a class with this example for trains. They were testing a system that reads signalization with a camera in order to move towards a more autonomous train. Deep learning performed better that classical image processing, but image processing allows you to prove that the train won’t misread less than x% of the time with way higher certainty than a black box, so they had to go with that if they ever wanted to pass safety certifications.

So I guess deep learning explainability might be a more significant challenge even that finding a dataset that isn’t racially biased…

Well they probably know what they put in the CPUs they export to the US and Europe, so why would they?

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