So at Dragon Con I had a reading this year. Yeah, looks like this is the last year I get to bring all my books – too many, to heavy! I read the two flash fiction pieces in Jagged Fragments, “If Looks Could Kill” and “The Secret of the T-Rex’s Arms”, as well as reading the first chapter of Jeremiah Willstone and the Clockwork Time Machine, a bit of my and Jim Davies’ essay on the psychology of Star Trek’s artificial intelligences, and even a bit of my very first published story, “Sibling Rivalry“. I also gave the presentation I was supposed to give at the SAM Talks before I realized I was double booked; that was “Risk Getting Worse”.
But that wasn’t recorded, so, oh dang, you’ll have to either go to my Amazon page to get my books, or wait until we get “Risk Getting Worse” recorded. But my interview with Nancy Northcott for the Daily Dragon, “Robots, Computers, and Magic“, however, IS online, so I can share it with you all. Even more so, I want to share what I think is the most important part of my interview:
DD: Do you have any one bit of advice for aspiring writers?
AF: Write. Just write. Don’t worry about perfection, or getting published, or even about pleasing anyone else: just write. Write to the end of what you start, and only then worry about what to do with it. In fact, don’t even worry about finishing everything—don’t be afraid to try anything. Artists know they need to fill a sketchbook before sitting down to create a masterwork, but writers sometimes get trapped trying to polish their first inspiration into a final product.
Don’t get trapped on the first hill! Whip out your notebook and write. Write morning pages. Write diary at the end of the day. Write a thousand starts to stories, and if one takes flight, run with it with all the abandon you have in you. Accept all writing, especially your own. Just write. Write.
That’s it. To read more, check out the interview here, or see all my Daily Dragon mentions at Dragon Con here, or check out my interviewer Nancy Northcott’s site here. Onward!
Simply put, “artificial intelligence” is people trying to make things do things that we’d call smart if done by people.
So what’s the big deal about that?
Well, as it turns out, a lot of people get quite wound up with the definition of “artificial intelligence.” Sometimes this is because they’re invested in a prescientific notion that machines can’t be intelligent and want to define it in a way that writes the field off before it gets started, or it’s because they’re invested in an unscientific degree into their particular theory of intelligence and want to define it in a way that constrains the field to look at only the things they care about, or because they’re actually not scientific at all and want to proscribe the field to work on the practical problems of particular interest to them.
No, I’m not bitter about having to wade through a dozen bad definitions of artificial intelligence as part of a survey. Why do you ask?
Welcome to the future, ladies and gentlemen. Here in the future, the obscure television shows of my childhood rate an entire section in the local bookstore, which combines books, games, music, movies, and even vinyl records with a coffeehouse and restaurant.
Here in the future, the heretofore unknown secrets of my discipline, artificial intelligence, are now conveniently compiled in compelling textbooks that you can peruse at your leisure over a cup of coffee.
Here in the future, genre television shows play on the monitors of my favorite bar / restaurant, and the servers and I have meaningful conversations about the impact of robotics on the future of labor.
And here in the future, Monty Python has taken over the world.
Perhaps that explains 2016.