Dresner didn’t react other than to turn away and look out over the carefully arranged trees and flowers. The gesture was clear. Bailer had been dismissed.
18
Jon Smith propped his bare feet on the coffee table and used a beer to wash down a few more Advil. His television was still propped on a box against the wall and he tilted his head slightly to compensate for its lean.
The subject of the newscast was the mounting tensions with Iran and he flipped the channel, unwilling to even contemplate the idea of ever having to go back there. He’d cross that bridge when he got to it. Hopefully, never.
CNN was running a colorful panel discussion about the national debt and he settled back into the sofa, trying unsuccessfully to get comfortable and regretting letting the saleswoman talk him into the modern design.
What drew him into this particular debate wasn’t his passion for government accounting so much as the fact that a tiny icon in his peripheral vision brightened noticeably when he’d surfed to it. The app was called TVMonitor and its function was to vet what was being said on various news programs. Limitations in network speed made it impossible to do real time, but this particular show must have originally aired early enough in the day that LayerCake had a chance to do its magic.
Smith concentrated on the name of the app and it sprang obediently to life. Craig Bailer had been right. Once you got the hang of it, launching, manipulating, and closing individual modules was surprisingly easy.
TVMonitor glowed green as the host gave a few general numbers and asked a lengthy question about recent budget cut proposals, then took on a reddish hue when a congressman started talking about the relative value of certain changes to Medicare, suggesting they weren’t going to be as effective as he claimed. When the subject of the relatively small impact of recent defense cuts came up, it went back to green.
The concept was simple. LayerCake searched objective facts on government sites, Wikipedia, Snopes, and hundreds of others, then compared them with what was being said. If they matched, the TVMonitor icon glowed green. If not, red. Of course, when the discourse turned to something that transcended facts — abortion, for instance — then the personal values of the user would rise in importance. To the degree that facts were stated, though, they would still be vetted.
And what about those personal biases? Smith launched a subsystem of TVMonitor that split the icon. Now the right side was monitoring the brain waves of viewers who had opted in, evaluating their reaction to the debate. He focused on the pulsating colors, fascinated by how poorly coordinated they were. People’s reactions seemed completely independent of objective truth. It was something that Dresner hoped his little feedback loop would correct.
These were just the kinds of data the Merge’s political apps fed off and why politicians were adopting them at light speed. The ability to see and react to people’s perceptions as well as to see when the system was calling you a liar was an incredibly powerful tool — one that would soon be mandatory for anyone hoping for a successful career as an elected official.
As Smith saw it, the whole thing was one giant psychology experiment. Could Dresner do what he’d set out to do? Not just change the way society functioned, but the way individuals thought and reacted to the world around them? Would people trust LayerCake? Or were they more comfortable wrapped in the warm blanket of their own biases? He himself admitted to harboring a few sacred cows and he wasn’t sure how he felt about Dresner going after them — even if he was justified in doing it.
Smith took another pull from his beer, the dull throb in his head subsiding a bit as he surfed through the channels to a Fox panel on the question of the day: privacy issues raised by the Merge. Interestingly, the TVMonitor icon faded. Was it because it hadn’t had time to vet this particular show or because of the potential for bias? Was Dresner’s search system capable of attacking its creator?
“This is different,” a woman on the right said emphatically. “This isn’t just about the user opting in, it’s about whether the people around that user have. How do we know that the facial recognition software isn’t recording everyone we see? What if I’m walking by when you go into a strip club? Or light up a joint? Will that be calculated into your value as a human being? What if I’m shopping next to a woman buying a pregnancy test? Is that information going to be immediately packaged and sold to her health insurer, BabyGear.com, and potential employers? And why not take it one step further? Why not just correlate everything someone sees to how they feel about it using their brain waves? I’m guessing that’s something Target and Amazon would be interested in.”
“All those things are strictly forbidden in Dresner’s licensing agreement,” someone interjected.
She laughed. “And of course we can trust him. Don’t be evil, right? Unless you can make a billion dollars off it.”
“Let it go, Sharon. We’re not in the information age anymore, we’re in the information overload age. All that stuff is already out there. What we need is some way to sort through it and that’s what Dresner’s giving us. Better him than someone else as far as I’m concerned.”
“Beyond all that,” the host said, “what about accuracy? What if I have the same name as a convicted murderer and it gets confused? How is that going to affect the way people see me? Is there a system for fixing those kinds of errors?”
“LayerCake takes into account the quality of the information and is very conservative about how it weights it. But the answer to your question is yes. You can monitor the facts in your profile — there’s actually an app for it — and dispute them just like a credit report.”
“So what if the facts are right?” the man to the host’s right said. “I’m a decent person, but I’m a conservative. I hunt. I’m for the death penalty. I support Republican candidates. Does that mean it’s going to paint a pointy tail and horns on me to left-wingers?”
“Dresner can’t control people’s prejudices,” someone else chimed in. “But in the end you’ll probably be better off because he’s tempering their prejudice with reality.”
“I’m not sure I want a machine knowing everything about me and using that to tell other people what I’m worth.”
“Too late. The younger generation doesn’t value — or even define — privacy like we do. They don’t mind being advertised to and they don’t so much as have a cup of coffee without tweeting about it. They want to know if the person standing next to them on the train is a Christian who shares their passion for Siamese cats, if they have friends in common, if they’re looking for a relationship.”
The discussion became increasingly heated and Smith finally hit the “mute” button. It was an impossible situation that didn’t turn on right or wrong. Yet another of the growing number of issues that split almost exactly along generational lines. With him right in the middle.
He rose and padded to the bathroom, leaning on the sink and staring at his image in the mirror. The missing hair was a little more obvious than normal because of the military cut and he turned his head, catching the glint of one of the silver studs that had been screwed into his skull that morning. Interestingly, the process had been much quicker and less intrusive than the installation of the tooth mike Bailer had fast-tracked for him. He opened his mouth and pulled back his cheek, but couldn’t spot the molar in question with absolute certainty.