hendrik

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.

Hmm… Would be interesting to find out what kind of effect that has on the average marriage or relationship 😅

Likely everyday stuff… Meeting minutes, phone or video conferences and such…

I think a dual-channel system with DDR3-1600 isn’t what we call fast any more. So you should try to avoid offloading with that. But I’m not an expert on the numbers, and it depends a bit on the specific use-case whether it makes sense to invest in old hardware, or buy a new machine along with a graphics card, since that’s quite some money.

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 after initial installation, you open a browser with the post-installation step and configure a username and password there. I’m not entirely sure, it’s been some time since I did it. But depending on installation method, I don’t think it has a provided password.

General password advice: Check caps lock, and if you use like a German keyboard if ‘z’ and ‘y’ are swapped.

I think pretty much any mosfet / h-bridge / motor control board with pwm should do.
If you have those 4-wire fans with a pwm input that accepts 3V3 logic, you might even be able to attach them directly to the ESP:

• https://github.com/KlausMu/esp32-fan-controller#wiring-diagram-for-fan-and-bme280

But that’s not all fans, I had some mixed results with that.

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.

I don’t have good first hand experience, but i know the Awesome Selfhosted list has a plethora of them.