2035: every phone comes with one so you can can do things without clicking any yucky buttons
2036: China mandates phone manufacturers to capture and submit brain data to the state to protect the children and promote social harmony. EU and US condemn. the media condemns.
2037: the EU mandates phone manufacturers to capture and submit brain data to the state to protect the children and fight malinformation. the media applauds.
2038: the US, ruled by the blue party, mandates phone manufacturers to capture and submit brain data to the state to protect the children and combat white nationalism. the red party condemns.
2039: the US, now ruled by the red party, abolishes the previous law and introduces a new one, mandating phone manufacturers to capture and submit brain data to the state to protect the children and combat illegal immigration. the blue party condemns.
To take some specific piece of research going on in one corner of $BigCorp, and tar it with the brush of general sentiment about $BigCorp, is a classic example of generic tangent: where the topic goes from something specific-and-more-interesting, to something generic-and-more-indignant. We've learned over the years that this is exactly the wrong direction for HN threads to head in. Note this, from https://news.ycombinator.com/newsguidelines.html:
It's not a 'general sentiment' or tangent though, it's specifically THE technology that has the potential to make privacy nonexistent.
Funded by the company that in the recent past, got exposed trying to track employees computer interactions and grabbing screens. Not long before that, it was leaked that employees and contractors were watching videos recorded from meta/rayban smartglasses.
I'm a little bit baffled by the defense here. The point of having guidelines is to use your judgement when applying them.
I brought up the "generic tangent" guideline because this was a case of how small/specific topics tend to get sucked into the gravity field of big/generic ones, leading to less interesting discussion (https://hn.algolia.com/?dateRange=all&page=0&prefix=true&que...).
Not only that but less-interesting discussion is usually more-indignant, which makes sense when discussion abandons the actual content of an article (https://hn.algolia.com/?dateRange=all&page=0&prefix=true&sor...). So we end up losing along two axes: loss of information and rise of inflammation.
They are already paying scarce labor like medical doctors and lawyers hundreds of dollars an hour to create training data. The RoI for training data is high because it can be used to train many models.
When the bad guys try they just get the lyrics to Yoko Ono music.