Very much not so. I am sorry, but you failed catastrophically right there in your first step.

And there you are wrong and quite obviously so. I will not even argue that point, if you chose to ignore the blatantly obvious, there is nothing I can do.

Note that this is "different" not "better" or "worse".

Software Engineering still is not even remotely real engineering. It is too messed up, to chaotic and too clueless about its main object. Hence, no, she cannot have established it as a proper engineering discipline, because it still does not qualify as one.

Seriously, I am getting really tired of some people being lauded all out of proportion just because they were women in tech. I have no problem with them being recognized, but this type of story is just propaganda and deeply dishonest.

What he did is make up some "facts" and then throw some math on top to obscure that the "facts" are pure hallucinations. Works on the stupid and is something regularly done today. It does work better when the math used is statistics, because that is hard to really understand even for experts. But, if sone right, you get all kinds of magical symbols and an end-result that _surely_ must be true...

That said, the already started human-made climate change will reduce population, probably pretty strongly. When agriculture stops working in mist places, that tends to have rather strong limiting effects. Hence regulation mechanisms are coming active before things are getting close to the point were only fast collapse is possible. This seems to be an universal property of finite complex systems, such as we have on this planet.

No, not at all. The gender pay gap is in the training data thousands of times, from online comments, studies, news articles, etc. Since AI is a dumb machine replicating what it has in its training data, it replicates that.

I'm pretty sure you can find religious believe, superstitions of all kinds, human fallacies and whatever in AI if you provide it with the right setup.

Polar circle?
Oh you mean the Arctic Circle.
Hardly ...

I live at latitude 43.44 N.

That is south of Florence Italy, and Nice and Cannes, France.
Also south of Madison, Wisconsin, and Minneapolis Minnesota.

And the most populous places in Canada are nearby.

But yeah, to Americans, we are "up north", so we have to be in the Arctic Circle.

I just looked at the paper and you are right. Thanks for looking.

The male and the female one are basically suggesting visually that the man is competent and the woman is not. I mean even only the cloth pattern of the skirt that "she" is wearing is atrocious. It is like they made the "woman" intentionally unattractive while they made the "man" average. ("She" is also blonde, of course, while "he" has dark hair.) I have no idea whether this was actually done intentionally, but if I were to design a study to find this type of bias, that is what I would use. I wonder whether they did something similar in the text interfaces.

I also noticed that their names are Johanna and Johan, i.e. a proper male name for "him" and a feminized male name for "her".

So, after all, my first take of "likely methodical error" was correct.

The study is flawed in another way as well because "everybody knows" that women earn less than men. (Usually that is "proven" with the unadjusted wage gap, which is completely bogus and essentially a lie.) Hence the study participants just conformed to what they thought were the facts of the matter. Makes the results completely meaningless.

And the other thing is that "everybody knows" there is a gender pay gap. This is only true for the unadjusted gap, but most people do not know what that means. Once you adjust for factors like experience and field-of-work the difference is below the margin of error, i.e. small and we do not even know whether it is real. We essentially have same wages for the same work and qualification and had it for a while. That some parts of some gender groups decide to not do the same work or invest less or more time into getting experience is a separate problem and not a problem of payment.

Hence the people in this "experiment" were just conforming to what they thought was expected of them. That makes the whole thing bogus. Obviously wages in the real world are determined by a different procedure and harping on about women and men not behaving exactly the same (as a group) is just one thing: counterproductive.

Well, what can an LLM do? It has no understanding or insight, so it cannot see whether something is a good solution or not. Obviously, a smart human would not even have looked for a "solution" like that, because it is obvious crap.

Are you serious? Because that is the dumbest shit I have read in a long, long time.

Since you do not even seem to know the very basics, here is a starting point: https://en.wikipedia.org/wiki/...

No. Or rather not to any meaningful degree or depth. They can do very shallow reasoning only and after a few steps into deeper reasoning chains, only noise is left. Statistical AI is completely unsuitable for automated deduction. It is not even remotely comparable to what a smart human or even the very limited automatic theorem proving systems can do.

Yes. While this may be hard to understand for non-mathematicians, the data-theft angle could not be any more obvious. All LLM type AI can to is put puzzle pieces together. Somebody else needs to create those. And if they were unpublished, then they were stolen.

It does not actually make a useful contribution. It does damage. And the allegation of most of this stuff essentially being stolen are very likely true.