@gkmizuno Well the thing is, there is a lot of signal that we haven't pulled out of the data that we have already.
Even in current methods we employ grad students to sift through old data looking for new ideas, new messages, new processing to figure things out. That's nothing groundbreaking.
So that's not much of a limit for AI. We know there is a lot of gold in the tailings that human knowledge has amassed. There's a lot of information in the data that we haven't pulled out yet. Currently we try to manually find it, and that's a lot of fertile ground for AI to make advancements.
@gkmizuno I'm saying the second.
We have so much data right now that we can't analyze it in time. In fact we're throwing away a lot of data because we don't think it's worth storing because we won't be able to analyze it anytime soon, so it's not worth the cost of storage.
We are currently awash in data that we can't analyze because we don't have enough ability to analyze it. Maybe AI can help fill that gap, finding patterns in the data that humans don't have the time or energy to tease out.
