• 0 Posts
  • 36 Comments
Joined 1 year ago
cake
Cake day: July 2nd, 2023

help-circle
  • I got that advice as well – the explanation given to me was that it’s almost always used incorrectly, so just be safe and don’t. However, I like the way it makes writing more closely resemble natural speech; we usually talk in conjoined clauses rather than complete sentences.



  • I don’t have experience with it personally, only heard about it from a possibility perspective – apparently prosecutors do a very thorough job screening jurors to make sure that never happens. Just knowing about jury nullification can get you dismissed. I don’t think you’re off the mark with that read, but where I think it comes back from kangaroo court and sov cit land is all jurors have to agree, even one objection to a nullification would stop it; if twelve strangers all agree, there’s probably some merit to it. But, certainly can be abused in the wrong hands.




  • I think you’ve generalized a bit too much. The gender-swapped format was not created for this exact meme, it’s just a jovial commentary on male stereotypes women find unappealing. In this case, the joke isn’t that she saw a stack of random games, they’re all FIFA – did you maybe not notice that? The annoying male FIFA player is a pretty well-established meme at this point.














  • techt@lemmy.worldtoNews@lemmy.worldTRUMP GUILTY ON ALL 34 COUNTS
    link
    fedilink
    arrow-up
    30
    arrow-down
    1
    ·
    4 months ago

    I’m here to support.

    Count #1: Guilty

    Count #2: Guilty

    Count #3: Guilty

    Count #4: Guilty

    Count #5: Guilty

    Count #6: Guilty

    Count #7: Guilty

    Count #8: Guilty

    Count #9: Guilty

    Count #10: Guilty

    Count #11: Guilty

    Count #12: Guilty

    Count #13: Guilty

    Count #14: Guilty

    Count #15: Guilty

    Count #16: Guilty

    Count #17: Guilty

    Count #18: Guilty

    Count #19: Guilty

    Count #20: Guilty

    Count #21: Guilty

    Count #22: Guilty

    Count #23: Guilty

    Count #24: Guilty

    Count #25: Guilty

    Count #26: Guilty

    Count #27: Guilty

    Count #28: Guilty

    Count #29: Guilty

    Count #30: Guilty

    Count #31: Guilty

    Count #32: Guilty

    Count #33: Guilty

    Count #34: Guilty


  • Thanks for the response! It sounds like you had access to a higher quality system than the worst, to be sure. Based on your comments I feel that you’re projecting the confidence in that system onto the broader topic of facial recognition in general; you’re looking at a good example and people here are (perhaps cynically) pointing at the worst ones. Can you offer any perspective from your career experience that might bridge the gap? Why shouldn’t we treat all facial recognition implementations as unacceptable if only the best – and presumably most expensive – ones are?

    A rhetorical question aside from that: is determining one’s identity an application where anything below the unachievable success rate of 100% is acceptable?