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Joined 7 months ago
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Cake day: March 30th, 2024

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  • Always appreciate any work spent on any FOSS stuff out there but currently I’m a bit afraid that Gecko disappears into unimportance. So I’d prefer more contributions towards that one project rather than opening new ones.

    The issue with browser engines is that it always requires work from two directions. The browser engine must be optimized to render websites as good as possible. And websites must be optimized to be rendered by all the different browser engines.

    And (almost) no one is willing to do the latter for engines with a <1% market share. Already now, more and more commercial and non-commercial websites are only working properly with Chrome or its derivates.


  • Is there a credible source for the costs of hosting? Wikipedia is listing similar ad revenues as you did but no info on the costs. YouTube has 2.7 billion users that watch in average around 11 hours of videos a month. If 2 billion USD/y would be sufficient to host all that that’d be just 0,74 USD/user*year or 0,06 USD per month. That sounds really cheap considering that you have to pay for storage, traffic, backups and redundancies (at least I never heard of significant outages or data loss on YT).

    Does anyone have a credible source on the number of employees YouTube has? If you search for that you fine vastly different number from just 2k to 189k employees.


  • TBH I’m not sure if a platform like YouTube will ever exist in a non-commercial way. Many creators that I follow reached a level of professionalism that comes with significant costs. You need expensive cameras, microphones, lights, high-end computers, drones, personnel costs for cutters and people that help with research. They have travel costs, sometimes rent for offices etc. All that just to produce the content.

    On top, there are significant costs for hosting. I mean YouTube is hosted on multiple data centers rather than a bunch of servers or even home computers. Already Lemmy, which is mostly text and pictures, is a decent financial burden to instance owners. Not to mention the time for moderation and administration. And even here, in a place full of hardcore FOSS supporters, it’s not like admins are drowned in donations.

    If YouTube ads and product placements are the only source of income for content creators, then the only alternative would be that consumers directly pay for the content and the platform. Or that such a platform would be paid by some state / taxes. Both of which don’t sound very realistic to me.





  • That’s interesting. Last year I visited an exhibition in Windischeschenbach / Germany where they drilled a hole that is more than 9000 meters deep to analyze the layers of the soil. There they said that they also penetrated several water basins while drilling that were completely isolated for billions of years. Still they didn’t find a single biologist willing to analyze these water samples. The reason that was given to me was that the liquid may contain completely unknown and highly dangerous bacteria, viruses etc.

    Permafrost to me is quite similar to these underground water basins in terms of isolation over a long period of time. So that’s what I based my original claim on.

    But I’m neither an expert in geology nor biology, so I can’t judge the potential risk.








  • The study differentiates between male and female only and purely based on physical features such as eye brows, mustache etc.

    I agree you can’t see one’s gender but I would say for the study this can be ignored. If you want to measure a bias (‘women code better/worse than men’), it only matters what people believe to see. So if a person looks rather male than female for a majority of GitHub users, it can be counted as male in the statistics. Even if they have the opposite sex, are non-binary or indentify as something else, it shouldn’t impact one’s bias.




  • Anyone found the specific numbers of acceptance rate with in comparison to no knowledge of the gender?

    On researchgate I only found the abstract and a chart that doesn’t indicate exactly which numbers are shown.

    edit:

    Interesting for me is that not only women but also men had significantly lower accepance rates once their gender was disclosed. So either we as humans have a really strange bias here or non binary coders are the only ones trusted.

    edit²:

    I’m not sure if I like the method of disclosing people’s gender here. Gendered profiles had their full name as their user name and/or a photography as their profile picture that indicates a gender.

    So it’s not only a gendered VS. non-gendered but also a anonymous VS. indentified individual comparison.

    And apparantly we trust people more if we know more about their skills (insiders rank way higher than outsiders) and less about the person behind (pseudonym VS. name/photography).