Hi Callie. I like your tweets. You didn't think much of After Dark, or at least not the first part of it. It didn't do much for me either. I finally began reading HM after prompting from several friends over the years. I don't think I'm a fan, but there were several I really liked. Too many that I had a bit of a meh reaction to. Yes, re-read 1984, it's so brilliant. I re-read it about 7 years ago and was very happy I did. I'm a big fan of Orwell (after reading his Essays, Letters & Journalism volumes). OK, that's it!

Congrats Emil!!! Terry

HI JJ I know it's only an analogy, and not meant to be precise in every detail, and I'm also not trying to argue against your underlying convictions - which I think I agree with. But another way to look at the end game of putting a puzzle together is to regard pieces that are already joined as being a single (composite) piece. Looked at from that POV, the process of assembling the puzzle has monotonically decreasing difficulty - all the way to the point where you're down to the last two pieces (possibly both composite), at which point a 2yr old child can finish the puzzle. In other words, the implied(?) argument that things might be expected to be getting harder because you have more pieces on the table, can be flipped on its head - with great effect, because the puzzle *is* getting easier, as seen by the speedup provided by non-false-positive context. In a sense I'm just picking nits. But I do also find great value in thinking about practical / real-world analogies and how they can give insight into how we go about designing computational systems. FluidDB is in large part about always being able to insert new information into a system in the place(s) where it (is imagined it) will be of most value. It's about how information becomes more valuable when it's in the right context. I love thinking about how we work with information in the real world (e.g., putting a puzzle together, or even just putting a bookmark in a book or a post-it note onto something) and comparing it to the way our familiar computational environments force us to work with information. The gap seems vast, as I think you agree. I also find it fun to think about how we might build systems that make the latter more like the former, and to have also dedicated so much of my life to actually trying to build such things. Cheers from NYC.