Q do you think about this as moving beyond early adopters? What do you think the obstacles and challenges are to actually making it more mainstream? I mean, Gary, the quantified self aspect of this like 20 years ago, and Rachel, you've been studying this like 12 years, I think, including your time at Stanford. What are your thoughts for making it not just something that like really motivated people do?
A I think about this as like cell phones or Cell phone cameras as they became cheaper and more and more people have them. And cell phone cameras also used to be pretty poor quality photos. But at the end of the day, the best camera is the one that you have. And so people kept using their cell phone cameras and they got better and better. And now most of us don't own regular cameras. We just use our cell phone. The devices that we wear are on a similar trajectory where right now we're in the poor quality environment. Photo phase. Over time, they're going to be better resolution, and they're going to be used by more people, but I also think in passive ways that don't necessarily require engagement, a lot of the tracking will be invisible, which is different from the quantified self. There will always be room for people who want to be engaged, and People who, uh, will have these, this data collection happening in the background.
AI assessment note: “a lot of the tracking will be invisible, which is different from the quantified self.”