hendrik

Kann man so oder so machen. Letztendlich muss man irgendwie sein Auskommen miteinander finden, wenn man in einer Gruppe von Menschen arbeitet. Manche wollen dies, manche das. Also Viele Quatschen halt auch gerne. Man ist nicht unbedingt Freunde, aber irgendwie sieht man sich ja fast jeden Tag und verbringt viel Zeit mit diesen Menschen, da gehört Sozialisieren und Menschliches dazu, einfach weil Menschengruppen so funktionieren. Gibt auch Leute, die das nicht mögen, die müssen den Anderen dann irgendwie beibringen, dass sie lieber gerne allein gelassen werden wollen. Dann haben das alle zu akzeptieren, man geht miteinander und mit unterschiedlichen Bedürfnissen mit Respekt und professioneller Höflichkeit um. Und die Geschichte sollte damit abgehakt sein. Der Respekt und die Höflichkeit sind da für mich das Kollegiale.

Oh man, I’m a bit late to the party here.

He really believes the far-right Trump propaganda, and doesn’t understand what diversity programs do. It’s not a war between white men an all the other groups of people… It’s just that is has proven to be difficult to for example write a menstrual tracker with a 99.9% male developer base. It’s just super difficult to them to judge how that’s going to be used in real-world scenarios and what some specific challenges and nice features are. That’s why you listen to minority opinions, to deliver a product that caters to all people. And these minority opinions are notoriously difficult to attract. That’s why we do programs for that. They are task-forces to address things aside from what’s mainstream and popular. It’ll also benefit straight white men. Liteally everyone because it makes Linux into a product that does more than just whatever is popular as of today. Same thing applies to putting effort into screen readers and disabled people and whatever other minorities need.

If he just wants what is majority, I’d recommend installing Windows to him. Because that’s where we’re headed with this. That’s the popular choice, at least on the desktop. That’s what you’re supposed to use if you dislike niche.

Also his hubris… Says Debian should be free from politics. And the very next sentence he talks his politics and wants to shove his Trump anti-DEI politics into Debian… Yeah, sure dude.

The Fairphone is a really nice project. It’s designed by a Dutch company. According to what I can find on the internet, it’s manufactured with ethical standards by Hi-P International Limited in China. And the System on Chip comes from an US-company (Qualcomm), those are produced by TSMC in Taiwan.

… and most of the world. I guess that’s the reason why we still have Taiwan as a country.

I guess with electronics there is a lot to be desired. GPUs, CPUs other chips and a lot of components. Entire smartphones and laptops.

Though what I’d really like to see “manufactured” in Europe is a big internet platform. Something like WhatsApp, Instagram or YouTube, TikTok or whatever.

I meant both sex and gender. They regularly fail to tell me a lot for my own real life. I like some people and dislike others and it’s easier for me to talk to / work with / collaborate or empathize depending on various circumstances. Personality traits, shared goals… Maybe sharing something or it’s the opposite of that. I believe gender or sex or identity is a bit overrated and so is stereotyped thinking for a lot of applications. Or the need to conform to a stereotype. Dress and identify however you like, make sure to give your children an electronics kit, a plastic excavator and a princess dress… And unless that’s really important for some niche application, don’t feel the urge to look into people’s pants and check what’s in there.

You’re welcome. I mean it’s kind of a factual question. Is gender an indicator on its own? If yes, then the rest is just how statistics and probability work… And that’s not really a controversy. Maths in itself works 🥹

I’d also welcome if we were to cut down on unrelated stuff, stereotypes and biases. Just pick what you like to optimize for and then do that. At least if you believe in the free market in that way. Of course it also has an impact on society, people etc and all of that is just complex. And then women and men aren’t really different, but at the same time they are. And statistics is more or less a tool. Highly depends on what you do with it and how you apply it. It’s like that with most tools. (And LLMs in the current form are kind of a shit tool for this if you ask me.)

Right. If it’s true that women statistically outperform men (with same application documents), it’d be logical to prefer them just on gender alone. Because they likely turn out to be better.

Issue is they probably want to pattern-recognize something like merit / ability / competence here. And ignore other factors. Which is just hard to do.

LLMs reproducing stereotypes is a well researched topic. They do that due to what they are. Stereotypes and bias in (in the training data), bias and stereotypes out. That’s what they’re meant to do. And all AI companies have entire departments to tune that, measure the biases and then fine-tune it to whatever they deem fit.

I mean the issue aren’t women or anything, it’s using AI for hiring in the first place. You do that if you want whatever stereotypes Anthropic and OpenAI gave to you.

I think most of us is well aware of that. In the USA you either watch the one propaganda channel, or the other one. But realistically only your grandma does that. The younger people consume some alt-right internet content and think drinking bleach is a good thing, you need a trad-wife and NOAA or whoever is turning some frogs gay. At least that’s the picture I get. Okay, I let my sarcasm get the better of me. But we really know media in the US isn’t good. Neither is social media and all the political bubbles.

Keep in mind this isn’t about open-weight vs other AI models at all. This is about how training data can be collected and used.