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Michiel is indeed one of the driving forces behind NLNet's NGI0 program. That said, just because they're distributing money they received from the EU, that doesn't mean that they're intimately aware of the full EU budget.

(Disclosure: I once received NGI0 funding.)


> that doesn't mean that they're intimately aware of the full EU budget.

There's no "intimate" knowledge required in order to be aware of the EU spending tens to hundreds of billions of euros on the war close to its Eastern border, it has been one of the main topics of discussion in the media for a good time now. Unless this speech holder has lived under a rock since February 2022, which doesn't seem to be the case (he was the one mentioning the "war" thing).


Haha I love arewedubstepyet for Web Audio tracking.

Also a good one: https://arewedecentralizedyet.online


There is no "there" for Linux to be, because

> every case is different

Every article like this is another person for whom Linux is there.


It sounds like when you, say, compare a bunch of different products, you have an uncanny ability to know exactly where in your tab history those products are? I really have to open them in a bunch of tabs as I go, and then I can quickly switch between them when I'm at the point of making a choice.

Does it matter whether it's been obvious that it would be a major issue? It's not unlikely that he did realise this a long time ago, and if he did, it's also not unlikely that he still hasn't found a solution, because there might not be one.

I had a similar experience after switching to Fedora Silverblue (but any of the immutable Linuxes will probably do - and over time, I'm sure most will be like that). Had set aside a bunch of time to do a major version update, everything fully backed up, and then it was done in a couple of minutes. Literally no different from any other update.

I've done more than a handful of major version updates since then, and almost don't bother to backup any more.


We have that (first DoNotTrack, now Global Privacy Control). Turns out bad karma doesn't really affect website behaviour.

(GPC has some legal teeth though, and might get more, so perhaps that will help.)


I can barely follow German and I've been taught it in high school for a couple of years. I would not expect a German person to understand Dutch.


I'm a relative newbie with Nix, but I recently installed a Gnome extension through Home Manager, and then removed it again. It left some native functionality unusable because the install flipped a pref and the dev had forgotten to revert that on uninstall. They fixed it quickly and it was nice and all, but it's still somewhat unpredictable to me when I will run into such cases.


Obviously I am putting words in the author's mouth here, so take with a grain of salt, but I think the reasoning is something like: such LLM-generated content disproportionately negatively affects women, and the fact that this got pushed through shows that they didn't take those consequences into account, e.g. by not testing what it would look like in situations like these.


> such LLM-generated content disproportionately negatively affects women,

Major citation needed


> Ahead of the International Women's Day, a UNESCO study revealed worrying tendencies in Large Language models (LLM) to produce gender bias, as well as homophobia and racial stereotyping. Women were described as working in domestic roles far more often than men ¬– four times as often by one model – and were frequently associated with words like “home”, “family” and “children”, while male names were linked to “business”, “executive”, “salary”, and “career”.

https://www.unesco.org/en/articles/generative-ai-unesco-stud...

> Our analysis proves that bias in LLMs is not an unintended flaw but a systematic result of their rational processing, which tends to preserve and amplify existing societal biases encoded in training data. Drawing on existentialist theory, we argue that LLM-generated bias reflects entrenched societal structures and highlights the limitations of purely technical debiasing methods.

https://arxiv.org/html/2410.19775v1

> We find that the portrayals generated by GPT-3.5 and GPT-4 contain higher rates of racial stereotypes than human-written por- trayals using the same prompts. The words distinguishing personas of marked (non-white, non-male) groups reflect patterns of othering and exoticizing these demographics. An inter- sectional lens further reveals tropes that domi- nate portrayals of marginalized groups, such as tropicalism and the hypersexualization of mi- noritized women. These representational harms have concerning implications for downstream applications like story generation.

https://aclanthology.org/2023.acl-long.84.pdf


The question is whether these LLM summaries disproportionately "impact" women, not whether LLMs describe women as more often working in domestic roles.


Then you have to do your research on whether domestic roles have an equal status to non-domestic roles, and not rest on your preconceptions


Unfortunately I can't provide that, since I'm merely trying to come up with the reasoning of the author. If they have sources, though, that could lead to this reasoning.


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