The Future Is Now
“The future is here—it’s just unevenly distributed.”
This quote is attributed to William Gibson and I think it’s supposed to explain why he went from writing science fiction novels to writing mystery novels like Pattern Recognition and Spook Country that seem sci-fi-ish but are set in the present time.
I have to say I agree with Gibson. Sure, I still don’t have a flying car but I often get the feeling of living in the future, be it everyday interactions with the world through the electronic devices I surround myself with or reading news articles which would have been pretty good science fiction just a couple of years ago.
Here are a couple of those articles I’ve enjoyed recently.
Human-flesh search
Tom Downey writes about cyberposses in China, also known as human-flesh search:
The short video made its way around China’s Web in early 2006, passed on through file sharing and recommended in chat rooms. It opens with a middle-aged Asian woman dressed in a leopard-print blouse, knee-length black skirt, stockings and silver stilettos standing next to a riverbank. She smiles, holding a small brown and white kitten in her hands. She gently places the cat on the tiled pavement and proceeds to stomp it to death with the sharp point of her high heel.
“This is not a human,” wrote BrokenGlasses, a user on Mop, a Chinese online forum. “I have no interest in spreading this video nor can I remain silent. I just hope justice can be done.” That first post elicited thousands of responses. “Find her and kick her to death like she did to the kitten,” one user wrote. Then the inquiries started to become more practical: “Is there a front-facing photo so we can see her more clearly?” The human-flesh search had begun.
How Google is learning languages
Steven Levy describes how Google’s search algorithm is learning human languages:
Google’s synonym system understood that a dog was similar to a puppy and that boiling water was hot. But it also concluded that a hot dog was the same as a boiling puppy. The problem was fixed in late 2002 by a breakthrough based on philosopher Ludwig Wittgenstein’s theories about how words are defined by context. As Google crawled and archived billions of documents and Web pages, it analyzed what words were close to each other. “Hot dog” would be found in searches that also contained “bread” and “mustard” and “baseball games” — not poached pooches. That helped the algorithm understand what “hot dog” — and millions of other terms — meant. “Today, if you type ‘Gandhi bio,’ we know that bio means biography,” Singhal says. “And if you type ‘bio warfare,’ it means biological.”
Illicit electronics in China
This article is a bit more technical but it should still be readable to non-techies and it certainly gives me that sci-fi feel. Andrew “Bunnie” Huang, creator of the Chumby, discovered some irregularities in the memory cards he got from the vendor Kingston and began investigating:
The process of shopping for irregular cards itself was interesting. In talking to a couple dozen vendors, you learn a few things. First, Kingston as a brand is weak in China for microSD cards. Sandisk has done a lot more marketing in the microSD space, and as a result, it’s much easier to find Sandisk cards on the open market. The quality of the grey-market Sandisk cards are also typically more consistent. Second, the small vendors are entirely brazen about selling you well-crafted fakes. Typically, the bare cards are just sitting loose in trays in the display case; once you agree on the price and commit to buying the card, the vendor will toss the loose card into a “real” Kingston retail package, and then miraculously pull out a certificate, complete with hologram, serial numbers, and a kingston.com URL you can visit to validate your purchase, and slap it on the back of the retail package right in front of your eyes. Hey, it’s just like new! … I suppose the typical buyer in those markets is not an end user, but someone who is looking to make a quick buck reselling these cards at a hefty markup in a more reputable retail outlet.
One vendor in particular interested me; it was literally a mom, pop and one young child sitting in a small stall of the mobile phone market, and they were busily slapping dozens of non-Kingston marked cards into Kingston retail packaging. They had no desire to sell to me, but I was persistent; this card interested me in particular because it also had the broken “D” logo but no Kingston marking.
Artificial intelligence composing music
Ryan Blitstein writes about David Cope and his computer program which is able to compose music that passes the Turing test:
Cope’s program could divine what made Bach sound like Bach and create music in that style. It broke rules just as Bach had broken them, and made the result sound musical. It was as if the software had somehow captured Bach’s spirit — and it performed just as well in producing new Mozart compositions and Shakespeare sonnets. One afternoon, a few years after he’d begun work on Emmy, Cope clicked a button and went out for a sandwich, and she spit out 5,000 beautiful, artificial Bach chorales, work that would’ve taken him several lifetimes to produce by hand.
When Emmy’s Bach pieces were first performed, at the University of Illinois at Urbana-Champaign in 1987, they were met with stunned silence. Two years later, a series of performances at the Santa Cruz Baroque Festival was panned by a music critic — two weeks before the performance. When Cope played “the game” in front of an audience, asking which pieces were real Bach and which were Emmy-written Bach, most people couldn’t tell the difference. Many were angry; few understood the point of the exercise.
Oh, and speaking of William Gibson and Pattern Recognition. Does this remind you of something?
