• 2 Posts
  • 20 Comments
Joined 4 years ago
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Cake day: October 29th, 2020

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  • We demonstrate that political orientation can be predicted from neutral facial images by both humans and algorithms, even when factors like age, gender, and ethnicity are accounted for. This indicates a connection between political leanings and inherent facial characteristics, which are largely beyond an individual’s control. Our findings underscore the urgency for scholars, the public, and policymakers to recognize and address the potential risks of facial recognition technology to personal privacy.

    “peer-reviewed” bullshit.





  • Cold plain metrics can easily hide social complexity.

    Assume 10 investigative journalists use modded privacy-friendly Firefox for year long investigation. Then their report is read by 10 million average news reader on stock browsers like Chrome. Network logics tell us that Firefox browser has asymmetrical value in the ecosystem than plain usage metrics can ever reveal.

    The obsession with numbers (the more the better) is a major blinding effect in societies driven by hierarchical cultures.



  • What is the obsession with numbers? Centralization mentality is the problem. The idea that unless 5 Billion people are on a network will it be “successful” denies the joys of effective and sustainable networks. I really honestly wouldn’t want to see a fediverse server with more than 100K daily active users. I would rather have 10 instances of 10K active users.

    Meta and those billionaire centrists can go fuck themselves.