December 2019 Archives

I've got a new book coming out next October 27th. And it's one I haven't said very much about, because it wasn't actually supposed to happen.

So here's a discursive history of events leading up to "Dead Lies Dreaming", and then an explanation of my train-wreck of a schedule (and how I got mugged by an entirely unplanned book).

(This is the text of a keynote talk I just delivered at the IT Futures conference held by the University of Edinburgh Informatics centre today. NB: Some typos exist; I'll fix them tonight.)

Good morning. I'm Charlie Stross, and I tell lies for money. That is, I write fiction—deliberate non-truths designed to inform, amuse, and examine the human condition. More specifically, I'm a science fiction writer, mostly focusing on the intersection between the human condition and our technological and scientific environment: less Star Wars, more about bank heists inside massively multiplayer computer games, or the happy fun prospects for 3D printer malware.

One of the besetting problems of near-future science fiction is that life comes at you really fast these days. Back when I agreed to give this talk, I had no idea we'd be facing a general election campaign — much less that the outcome would already be known, with consequences that pretty comprehensively upset any predictions I was making back in September.

So, because I'm chicken, I'm going to ignore current events and instead take this opportunity to remind you that I can't predict the future. No science fiction writer can. Predicting the future isn't what science fiction is about. As the late Edsger Djikstra observed, "computer science is no more about computers than astronomy is about telescopes." He might well have added, or science fiction is about predicting the future. What I try to do is examine the human implications of possible developments, and imagine what consequences they might have. (Hopefully entertainingly enough to convince the general public to buy my books.)

So: first, let me tell you some of my baseline assumptions so that you can point and mock when you re-read the transcript of this talk in a decade's time.



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