Even if it's the opposite direction, big guy losing and small guy coming out ahead, it's still drama. Just like Covid introduced epidemiological terms to the g

Even if it's the opposite direction, big guy losing and small guy coming out ahead, it's still drama. Just like Covid introduced epidemiological terms to the general public, this issue can introduce design choices around licensing, copyright and watermarking to more people. I assume there is a group of researchers building tools to provide fine-grained historical views into AI output. And yes, for billions of parameters trained on billions of documents, linking every letter to a source document is a UX nightmare. But what a cool problem. That's the interesting part. Yeah, something like TileBars[1] or Seesoft[1] seems like the right tool. But maybe keeping it all text with some graphical marker of authenticity is the better choice. So many cool problems. But, that authenticity marker is the hard sell. Can reasoned discussions with others be enough to introduce that, or is drama required? https://people.ischool.berkeley.edu/~hearst/irbook/10/node7.html https://people.ischool.berkeley.edu/~hearst/irbook/10/node7....