Read Dark as Day Online

Authors: Charles Sheffield

Tags: #High Tech, #General, #Science Fiction, #Mathematicians, #Adventure, #Life on Other Planets, #Space Colonies, #Fiction

Dark as Day (2 page)

“Boss?” Lena Ligon’s perfect face took on a startled look.

“Boss. I report to her.”

“But that’s ridiculous. No one in our family needs to report to anybody. Who is she?”

“She’s division chief for Advanced Planning in the Outer System. She works for the government. Like me.”

“Doing what?”

“The same as the last time you asked me. I build predictive models for the whole solar system—Inner and Outer.” Alex glanced at the big display, where the simulation was still rolling along. Estimated shipping tonnages for 2101 had exceeded fixed-point range and were being reported as floating-point, with ridiculously large exponents. “Not very good models, I’m afraid.”

“If that’s what interests you, you could do it just as well by yourself without reporting to anybody. We’re not exactly paupers.”

“I know.”

“And you wouldn’t have to work in a place like
that
.” The single word covered all of Alex’s spartan office, where the display volume left space for only a single chair and a small desk. The walls were neutral pale yellow, with no pictures or decorations.

“I know. Let me think about it. Maybe we can discuss this after the family meeting.” Alex knew he was committing to something else he didn’t want to do, but it was the easiest way to avoid an argument he couldn’t win.

“That’s why I called, Alex, to make sure you will be there. And don’t forget about the
other
thing. I can make arrangements whenever you are ready.”

“I won’t forget.” Alex studied his mother’s image, seeking the invisible. “I’ve been considering it.”

“Good. We’ll talk about that, too. Tomorrow, then. At four.”

“Yes, Mother.”

Lena Ligon nodded. “Try not to be late, as you usually are.” To Alex’s relief she vanished from the display. He glanced at the main simulation, where half the variables now showed overflow. Gibberish. He touched the pad to terminate the run, at the same time as he heard the door behind him slide open.

It was Kate, he knew without looking. He could smell her perfume, which always made him think of oranges and lemons.

“Got a minute?” she said.

“The model run—”

“Is garbage.” She took his arm. “I’ve been keeping an eye on it. Come on, sweetie, let’s go to my office.”

“I should change parameters and do another case.”

“It can wait. Me, I think we could easily take the rest of the day off.” Kate was leading the way along a narrow, dingy corridor. “If the Seine performs as advertised, tomorrow everything changes.”

“The run results can’t be any better than the models. The Seine won’t change them.”

“Runs also can’t be better than their inputs. The Seine will draw from every data bank in the System, no matter where it is. At the moment we’re starved for Belt data. Suppose that’s the missing ingredient?”

They had reached Kate’s office. It was twice the size of Alex’s, and as cluttered as his was empty. In pride of place on one wall, where Kate would see it whenever she looked up from her work, was a hand-embroidered cloth. Within an elaborate floral border were the words,
“Prediction is difficult, especially of the future.”

Alex slumped into the chair opposite Kate, accepted a tumbler of her made-to-order carbonated drink, and said abruptly, “What do you want to talk about?”

“You. How are you feeling?”

“I’m fine.”

“Lie Number One. Every time you meet your mother or anybody in your immediate family, you can’t think straight for hours. No, make that days.”

“So why did you insist that I talk with her?”

“Suppose I’d put her off until later. Would you have been able to work, or would you have worried all the time until she did reach you?”

When Alex said nothing, Kate went on, “You know, your mother just offered you what most people who work here would die for.”

“You tapped in to a private conversation!”

“I might have. Most of it I knew already. Anyway, you were talking in working hours, so I could claim the right. But don’t let’s get sidetracked. Me, I need to earn a living. I have to work, and I have to put up with bureaucratic bullshit. I even generate some myself, though I try to keep it down. But you don’t. You could walk out tomorrow. You’d have the freedom to work on what you want, when you want, where you want. There’d be nobody like me to pester you for reports.”

“You don’t understand.”

“Probably not. But I really want to. I’m a relatively recent arrival, but you’ve been here for over three years. Why do you stay?”

“You have the reason sitting right there on your wall.” He pointed to the hand-embroidered sign. “I agree with Niels Bohr, prediction is difficult. What will happen in the next ten years, or the next fifty? We don’t know. I just happen to think that it’s the most important question in the solar system.”

“I’m with you. And maybe the hardest.”

Kate said nothing more, but sat waiting patiently until Alex at last took a huge gulp from the tumbler, swallowed hard, and burst out, “The models in use when I came here were useless. They couldn’t even predict the
past
. They’d been run over and over for the years leading up to the Great War, and they never saw it coming until the Armageddon Defense Line was gone and Oberth City was destroyed, and by then it was too late.”

“What about your models?”

“You saw today’s run. You said the right word: garbage.”

“But isn’t that a problem of inputs, and of computer limitations? You designed the models to run with more than ten billion Faxes. That should be enough to include a simulation of every individual in the System, even if you let the prediction run for a whole century. You’ve always been forced to aggregate to a million or less. What do you think of the models themselves?”

“They’re pretty good.”

“I think I ought to call that Lie Number Two. I’m not able to judge what you’re doing, but before I took this job I talked to people whose judgment I respect. I also love modest men, but tell me true. Don’t you have an entirely new theoretical basis for predictive modeling?”

“I believe I do.” Alex could feel the knot inside him starting to dissolve. Was it something in the drink, or something in Kate Lonaker? “At least, no one seems to have run across it before.”

“That’s what I’ve heard. Look, you must know by now that I’m not much of a techie. I’ve looked at your papers, and didn’t get diddly-squat out of them. Can you describe what your models do in words of one syllable, so I’ll understand?”

“I don’t think so. Not unless you have a few hours to spare.”

“I don’t. But your models did predict the Great War?”

“Sort of. When I ran from 2030 on, they reached a singularity in 2067. That was the correct year, but of course you can’t compute past a singularity of the time line. So there was no way of knowing the war’s outcome.”

“You predicted a cataclysm. That’s good enough for me. Let’s go on. I asked you to tell me true, now it’s my turn to do the same. My worry list has three items at the top of it. First, I’m worried that you’ll take your mother’s offer, leave, and set up your own research shop.”

“Not a chance.”

“Why not—and don’t tell me it’s because your mother makes you nervous.”

“She does, but that’s got nothing to do with it.” Alex paused. “You said you love modest men. This is going to sound anything but.”

“I didn’t say I didn’t like immodest men. I’ve certainly met enough of them. Go on.”

“All right. My models may be producing garbage, but every other long-range predictive model that I’ve ever seen, here or elsewhere,
is
garbage. My models have the potential to
get it right
. You say you don’t understand what I do, but in a way you don’t have to. Because if you approve my results, they go up the line, and with any luck they’ll keep on going up to the point where the results lead to action.”

“I hope so. Otherwise there’s no point in either of us working here.”

“Now suppose that I go off and do what my mother suggests. I’d have plenty of research funds—Ligon Industries is huge, and it’s all in the family. Vast available assets.”

“Richer than God, if you believe the media.”

“So I run my models, and suppose they produce surprising results. I come here, and say, look what I’ve discovered. What happens next?”

“We’d have to verify them before we could act.” Kate nodded. “Go on. I think I see where you’re leading.”

“You’d verify them. Of course. And verify with what? The other models you have floating around here, that I know are crap? No agreement, we can pretty much guarantee that. And it would be NIH for me—Not Invented Here. I could come in showing that the Sun would go supernova, and I wouldn’t be heard. I’m working on the most important question in the solar system, but what’s the point if I’m not taken seriously? And for that, I must be an insider. Does that take care of your first worry? I’m not going to leave, unless somebody higher up comes along and throws me out.”

“Which conveniently leads me to my second worry. You told me that you can’t easily describe your models in a way that I can understand.”

“It would take hours.”

“I believe you. But I can’t accept that answer. Because I have faith in you and your models, and I assume that soon—maybe starting tomorrow—they will start producing meaningful predictions, results that we really believe. So I take them up the line to Mischa Glaub. And the first thing I’m asked to do is explain what’s going on in a way that
he
can understand—and he has a lot less time to spend on this than I do. Then he has to brief his boss, Tomas De Mises. And
he
has to explain to anyone on the Council who shows interest.”

“You make it sound impossible.”

“If you talk about ‘iterated multiple convolution kernels,’ which is a snappy phrase I remember from your last paper, it is impossible. I want you do to something for me, and put it as high on your priority list as anything in your models. I want you to find a way to
explain the models
in a way that someone with no special training will understand.”

“How can I do that?”

“Your problem. Use analogies, use pictures, use metaphors, I don’t mind if you have to try poetry and dancing. But we really need this—or all your work will be ignored, just as surely as if it came from outside the organization.”

Alex stared at her. He was feeling like a fool. She was right, and so obviously right that he should have thought of it for himself. “I’ll do my best. But how will I know when I have what you want?”

“We use the Napoleonic principle.” At Alex’s raised eyebrows, she went on, “You’ll brief Macanelly, from Pedersen’s group. Do you know him?”

“No. But I’ve heard about him.”

“Heard
what
about him?”

“That nobody likes to work with him. That he’s conceited, and also that he’s close to being a moron.”

“That’s what I’ve heard, too. He’ll be perfect. Napoleon used to have a special officer, a very dim one, who read all outgoing dispatches. Unless a dispatch was clear even to that man, it didn’t go out. Loring Macanelly will be our dispatch reader. When we have an explanation of what you’re doing that he can understand and repeat back to me, we’ll be happy. Won’t we? You don’t
look
happy.”

“Kate, I want to work on theory, and I want to develop analytic models. I consider what we are doing supremely important. But I
hate
this other sort of stuff, simplifying work to the point where it’s more misleading than informative, and then feeding it to half-wits.”

“You know what they say: God must be specially fond of half-wits, because he made so many of them. Will you do it?”

“I told you, I’ll do my best.”

“When you get something halfway ready, I’ll be your first half-wit.” Kate leaned back in her seat. “All right. That takes care of worries one and two. I’m not sure I have any right to ask you about worry three.”

“But you’re going to.” Alex had been vaguely upset when Kate Lonaker was appointed as his boss. She was two years younger than he, and before the end of their first brief meeting he knew she had little technical talent. Now, bit by bit, he was realizing what she had instead. More nerve than he would ever possess, and an inexplicable charm that took the edge off whatever she said.

And one other talent. How could a person do that, make you feel that they liked you and found you fascinating, without saying a single word? She was sitting there now, smiling at Alex as though he was the most interesting person in the System. And Kate could do it with
anybody
.

“If you’re going to ask me, then ask.”

“I will.” Kate glanced at her watch. “But I’m getting hungry. Can we talk and eat at the same time?”

“That’s fine with me.” Was she stalling? “What’s the third worry?”

“I was watching your face when your mother said that you mustn’t forget about the
other
thing, and she would make arrangements whenever you were ready.” Kate’s gaze, blue-eyed and sympathetic, was again fixed on Alex’s face. “As I said, it’s really none of my business, but I don’t believe that people I’m fond of should ever have to look like you looked. What is the
other
thing that you said you’d consider?”

2

THE TROJAN L-4 POINT, YEAR 2097,

SEINE-DAY MINUS ONE

Alex Ligon and Kate Lonaker held their meeting in one of the “low-rent” levels of the Ganymede interior, where most government offices are located.

Draw a line that joins Alex and Kate to the Sun. It’s a straight line, a long line, and a line of variable length, because Kate and Alex rotate with Ganymede, and Ganymede revolves around Jupiter, and Jupiter itself circles the Sun. But to one significant figure none of that matters. The distance is seven hundred and seventy million kilometers, give or take thirty million. Using that Sun-Jupiter line as base, draw two equilateral triangles in the same plane as Jupiter’s orbit. The apex of one of those triangles, trailing Jupiter in its orbit, is known as the Jovian L-4 point. The apex leading Jupiter is the Jovian L-5 point.

Both these locations are gravitationally stable. An object placed at one will remain there, co-orbiting with Jupiter. Nature long ago discovered this, and the group known as the Trojan asteroids reside there. The mathematician Lagrange proved the existence of such stable points in the eighteenth century. Humans only found a way to get there a good deal later.

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