That's a proxy metric for what we really care about: acceptance of differences, tolerance of others, diversity of perspectives, etc. In principle, you can achieve these goals with a team whose members are all one ethnicity and gender; it's just that a fair selection process won't produce such a team often. And, as it turns out, optimising for the "people who look different" proxy metric doesn't do a terrible job of optimising for the true metric, provided the "cultural fit"-type selection effects are weak enough.
The systemd crowd are perhaps worse than GNOME, as regards "my way or the highway", and designing systems that are fundamentally inadequate for the general use-case. I don't think ethnicity or gender diversity quotas would substantially improve their decision-making: all it would really achieve is to make it harder to spot the homogeneity in a photograph. A truly diverse team wouldn't make the decisions they make.
Who cares. That is all irrelevant.
I want to know if they raised VC money or not.
Either way at least it isn't anything about AI and has something to do with hard cryptography.
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Just ask Google Gemini to create an About Us page for the site and you can look at that instead. I'm sure it will meet your diversity requirements.
That's a proxy metric for what we really care about: acceptance of differences, tolerance of others, diversity of perspectives, etc. In principle, you can achieve these goals with a team whose members are all one ethnicity and gender; it's just that a fair selection process won't produce such a team often. And, as it turns out, optimising for the "people who look different" proxy metric doesn't do a terrible job of optimising for the true metric, provided the "cultural fit"-type selection effects are weak enough.
The systemd crowd are perhaps worse than GNOME, as regards "my way or the highway", and designing systems that are fundamentally inadequate for the general use-case. I don't think ethnicity or gender diversity quotas would substantially improve their decision-making: all it would really achieve is to make it harder to spot the homogeneity in a photograph. A truly diverse team wouldn't make the decisions they make.
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