Dark as Day (25 page)

Read Dark as Day Online

Authors: Charles Sheffield

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

BOOK: Dark as Day
11.89Mb size Format: txt, pdf, ePub

There hath he lain for ages, and will lie …

The VR helmet was ripped from his head. Light, world-filling light so bright that he was forced to squeeze his eyes tightly shut, burned around him. He heard the voice of a stranger, calling through the effulgence.

“It’s been more than half an hour, and you were mumbling to yourself. I couldn’t understand what you were saying. I had to get you out. Alex? Alex? Are you all right?”

He was not all right. He had swept far forward in time, to the death of humanity and beyond. He had hovered alone on the rim of the universe. How could anyone be all right after that?

“I
knew
I shouldn’t have let you do it,” the voice said. “I’m a total bloody fool. Here. Sniff this.”

An acrid vapor filled his nostrils. Alex gasped and gagged. His heart raced, he opened his eyes, and the room flickered and reeled around him.

“Alex!”

“Sa’ right. I’m—mm—a’ right.”

“You don’t sound it. Who are you? Tell me your name, where you are and who you are.”

“I am Alex—Ligon.” The room steadied. He was sitting hunched in a chair, with someone—Kate. Kate … who?—gazing down at him. “I’m—I—where am I? I’ve … been …”

“Alex! What happened to you? When I removed the VR helmet your eyes looked ready to pop and your pupils were all dilated.”

Alex shook his head, not to disagree but to try to clear it. “Dunno. Can’t think straight. Gimme a boost.”

“No. Alex, that’s a bad idea.”

“Need it. Got to have it. Mental overload, too many futures. Too much, too fast.”

“You’ll regret it. You’ll feel terrible later.”

“Give it.”

Alex closed his eyes and lay back. Hours seemed to pass before he felt the cool spray of the Neirling boost on his temple. The world inside his head steadied and came into focus.

He opened his eyes. Kate was frowning down at him.

“I’m all right, Kate. I’m fine. But it’s going to take days to sort out what I experienced. My head was spinning around like a top. It’s my own fault, I ought to have realized what would happen.”

“And I ought to have forbidden you even to try. I thought you said that you had done this kind of experiment before.”

“Not with the Seine running the show.” Alex’s pulse was beginning to slow. The Neirling boost had taken effect, and he would have at least three hours of mental clarity. He leaned back in his chair and rubbed his forehead. Everything from there to his brain stem had ached. It would ache again, when the boost lost its effect, but for the moment he felt he could understand—and explain—anything.

He said, “I’ll tell you what I think was happening, but I may be wrong. The Seine has enough computational power to consider and select from thousands of branches at a time. A Fax is too simple to be employed in more than one future, but apparently a human isn’t. I was catching glimpses of many possibilities—too many for me to handle.”

“You’ve lost me, Alex.”

“That’s not surprising. I’ve never gone into those elements of the predictive model with you. I would have, but you insisted that I work on a briefing that Macanelly would follow.”

“I did. But if you’re suggesting that I’m a dimwit like Loring Macanelly …”

“No, not at all. It’s just a question of where I put my time. I was trying to produce a simplified version for Macanelly, and that meant I had to leave some of the trickier elements out. Then we had to brief Mischa Glaub and Magrit Knudsen when we weren’t expecting it, so I went with the same approach—”

“Information, Alex. I need
information
. What did you feel you had to leave out?”

“All the probabilistic elements of the model.”

“Then you’re right, we have never discussed any such thing. You’ve always insisted that your model is
deterministic
. Unless you are in your Snapshot Interactive mode with a human in the loop, it will produce the same results every time.”

“That’s true. It will. But that doesn’t mean there are no probabilistic elements.” He felt a mild irritation at Kate’s slowness of comprehension.

“Alex, now you’ve got
my
head spinning like a top. Back up, take it easy, and remember who you’re talking to. I’m not Loring Macanelly, but I’m not boosted and I’m no genius when it comes to models.”

“I’ll do my best.” Alex remembered a piece of advice from the leading scientist of the last century:
An explanation should be as simple as possible, but no simpler
. It wouldn’t help to quote that now to Kate.

“I’m going to use an analogy. I was afraid to do that with Loring Macanelly, because from everything you’ve told me he’d not know how to distinguish an analogy from the real thing. But it’s the way I often think of the predictive model.

“Imagine that our model is playing a game of chess, and it’s the model’s move. It knows the layout of the board pretty well at the present time, but the board isn’t the usual one with just sixty-four squares and at most thirty-two pieces; our board is the whole extended solar system, with at least five billion humans and any number of computers and natural features. The model has to take into account all the actions and interactions of all the elements, and then decide how the board is likely to look one move ahead. Let’s say, one move ahead means one day from now. The opponent—in this case, humanity and Nature—makes a move. Then the model has to decide how the board will look at that point, which is two days ahead. After that the opponent moves again, and again, and again. The model has to decide in each case what the board is likely to look like. It is making a prediction.”

Kate was nodding—a little uncertain, but still a nod.

Alex went on, “The best human chess players can look ten or even twelve moves deep. They have an idea what the board might look like that far ahead, and they make their next move accordingly. How do they do it? Well, one thing we know for sure is that they don’t do it blindly. They also don’t do it by evaluating every possible move that their opponent might make, and choosing the best one for them. There isn’t enough time in the universe for a human player to adopt such an approach, even though it was the method used by the earliest and most primitive chess-playing programs. What the human player does, based on instinct and experience, is to assign a
probability
of success to particular sequences of moves, taking into account every reasonable move that the opponent might make. Those sequences with a low probability of success are dismissed. They don’t even make it to the level of conscious consideration. The high-probability sequences are examined and compared. Finally, the player makes a move. That move is the move that offers the best chance of winning,
given all the moves that the opponent might choose to make in the future
.

“The predictive program faces the same problem as the human chess player, only worse. It doesn’t know what the ‘opponent’—the natural universe, plus the five billion or more human ‘pieces’—will do, day after day after day. Even with all the computing power available in the Seine, a short-term prediction would run to the end of the universe. So the model, like the human chess player, is forced to work with probabilities. And like the human chess player, it rules out the low-probability futures, unless we insist, via exogenous variables, that it
must
consider them. If we do that, the model automatically converts that low-probability future to a high-probability one. Even then, when we go farther into the future the case that we insisted be considered may drop in probability, if the exogenous variable was introduced at only a single point in time.

“From the point of view of the model, there never is a single future. There are huge numbers of possible futures, branching off and diverging from each other the farther ahead we look in time. What we see reported as
the
future is simply the one to which the model assigns the highest probability.” Alex paused. “You don’t look happy.”

“I’m not happy. You are telling me that we went ahead and presented a briefing to my boss and my boss’s boss and my boss’s boss’s boss, talking as though what we had was gospel brought back from the mountain. Now you’re saying what they heard was just one of a billion trillion possibilities.”

“No. The model is much smarter than that. All possible futures will progress through time, and as they proceed they will diverge from each other. That’s inevitable. Think of the futures as being like photons of light, forming a cone that gradually widens as the light travels farther from its source. But if you sum
all
the probabilities for
all
the futures, you must get unity—
some
future must happen. The model considers the thousand futures for which the computed probabilities are the greatest, and makes a measure of dispersion. How much has the cone of those probable futures widened over time? If the number it calculates exceeds a pre-set value, the model will return a message that with these parameters, the future is indeterminate.”

“But that never happens. At least, is hasn’t happened in any runs that I’ve ever seen.”

“That’s good news, not bad. It means that all likely futures are rather similar, which is a reason for having confidence in our model. Implausible futures damp out over time, unless we insist on forcing them back in via exogenous variables. What I didn’t expect, and what I had trouble handling when I was in the Interactive mode, is that I would be able to sense other futures—maybe even improbable ones—as the program was running. They hadn’t had enough time to damp out.” Alex could feel them stirring again inside his head. Comet showers, disintegrating Commensals, the discovery of aliens, mysteries on Triton …

“So the most probable futures are much the same as each other,” Kate said. “You were still interacting with the model at the end. You must have seen them. What were they like?”

She was anxious but hopeful. Alex for one moment considered giving her the answer she wanted to hear, but the run records would reveal the truth.

“Nothing to offer us comfort,” he said. “Exactly the same result as before: a century from now, no humans survive. The solar system will be empty and lifeless.”

17

Three hours after Alex emerged from the unnatural high of the Neirling boost, his brain felt like a squashed melon. It would take days to sort out the flood of information dumped into him, even if he were not in a boost trough. He was in the worst possible condition to attend a difficult family meeting, and Kate hadn’t been slow to tell him so.

“I’ve never heard of anything so stupid.” She had forced him to eat a bowl of soup and now she was sitting at one end of the sofa with his head cradled in her lap, glaring down at him. “You ought to be tucked up safe in bed.”

“I wish I was. Don’t I just.” Alex lay full-length on the couch. “But Kate, I’m committed to this. I promised the family.”

“Screw the family. They’re a selfish lot, they never do anything for you.”

“I don’t
want
them to do anything for me. They tried for years to give me jobs that I didn’t like in Ligon Industries. I’m here to
escape
from them.” The painkillers that he had taken didn’t seem to be working. They had merely added to the boost slump and dulled even farther his ability to think. “But I must go to this meeting. I told them I would be there at four.”

“Then let me call and tell them that you
won’t
be there at four. I’ll be happy to do that for you.”

He was sure she would. Her anger had not lessened since his apology, but it seemed to have transferred from Alex to the rest of his family.

“Kate, if you talk to Prosper Ligon or my mother, you won’t just say I can’t make the appointment. You’ll flame them. And then you’ll lose your job.”

“Nonsense. I won’t lose my job.”

Alex noted that she did not deny that she was likely to cuss them out. “I’m telling you,” he said. “Your job will be in danger. It won’t happen through any direct route, or in a way we can do anything about. Mysterious pressures will drift down from somewhere higher up. Ligon Industries have been around for a long time. Even the family
names
go back centuries.”

“Huh.”

Which Alex read as a sign of agreement. Kate was highly savvy when it came to the realities of interaction between government and industry. She knew better than he how much an old-line and well-connected company could command in the way of political influence.

He sat up. “It’s past three. I have to go.”

Kate scowled as he groped for his shoes, but she didn’t try to keep him. “Just be firm with them,” she said, as he prepared to leave. “Tell them no. They can’t make you.”

Which just proved how little she understood the Ligon family. But Kate was watching him closely, and he was careful not to put on any of the traditional clothes normally considered necessary for a family meeting.

She nodded approval. “That’s right. I say, if they don’t treat you right then screw your family. Give them hell, sweetheart. I know you feel terrible, but remember this: even with your brains coming out of your ears you’re still three times as smart as Cousin Hector.”

Being smarter than Hector was small consolation for anything. Far more important was the
sweetheart
and Kate’s quick kiss on the way out.

The long ride up from Kate’s apartment to Ligon Corporate went in a blur. Alex surfaced only once from his stupor, when a flickering sign drifted past him on one of the rapid transit corridors.

* * *

Exciting news!
Exclusive to Paradigm.
Secret message to Ganymede Central!
Aliens on the way!

An informed source reveals that a message from the stars has been forwarded from the Jovian L-4 station, announcing that aliens are coming to the solar system. Will they bring peace? Will they bring war? Visit
Paradigm Outlet
NOW for full details!

* * *

Alex felt no temptation to obey the command to seek a connection to the Paradigm Outlet. The announcement seemed more like a pointer to the inside of his own head. One of the “futures” considered and discarded by the prediction program had been the discovery of messages from aliens. It must have been thrown out in favor of a more probable future, but it had occurred very early during the run. Could it have been
this
early, on the same day as the run was made?

Other books

The Hard Count by Ginger Scott
The Age of Reinvention by Karine Tuil
Helpless by Barbara Gowdy
Project Seduction by Tatiana March
Monster Hunter Alpha-ARC by Larry Correia
The Night Watch by Patrick Modiano
Change of Heart by Wolf, Joan