10 Matching Annotations
  1. Sep 2023
    1. While I may not have personally composed these words, I hope they convey the sincere appreciation I have for my colleagues and the work we have done together.”

      This takes the emotion out of question. AI does not offer sentimental value

    2. It wasn’t just readers that were confused about what stories on CNET involve the use of AI.

      A company needs to be more transparent with involving AI into their work, it seems unethical for them to try to hide it

    1. Do NOT label open suitcases full of clothes; DO label shoes but do NOT label flippers; DO label leggings but do NOT label tights; do NOT label towels even if someone is wearing it; label costumes but do NOT label armor. And so on.

      That is oddly specific and counterintuitive

    2. Annotators are warned repeatedly not to tell anyone about their jobs, not even their friends and co-workers, but corporate aliases, project code names, and, crucially, the extreme division of labor ensure they don’t have enough information about them to talk even if they wanted to.

      This seems a bit much, it's kind of like asking someone to live a double life

    3. it didn’t know what to make of someone walking a bike across the street.

      With the kind of technology we have today, how did this slip through the cracks?

    4. labeling footage for self-driving cars — identifying every vehicle, pedestrian, cyclist, anything a driver needs to be aware of — frame by frame and from every possible camera angle

      I never thought someone would individually create these systems! That's amazing and correlates to how efficient they must be

    5. AI learns by finding patterns in enormous quantities of data, but first that data has to be sorted and tagged by people

      This reminds me of the way algorithms work