In a way this was very exciting. For the first time, a program could produce results that absolutely could not be predicted by the programmer. These programs behaved more like living organisms than man-made automatons. That excited programmers-but it frustrated them, too. Because the program’s emergent behavior was erratic. Sometimes competing agents fought to a standstill, and the program failed to accomplish anything. Sometimes agents were so influenced by one another that they lost track of their goal, and did something else instead. In that sense the program was very childlike-unpredictable and easily distracted. As one programmer put it, “Trying to program distributed intelligence is like telling a five-year-old kid to go to his room and change his clothes. He may do that, but he is equally likely to do something else and never return.”
Because these programs behaved in a lifelike way, programmers began to draw analogies to the behavior of real organisms in the real world. In fact, they began to model the behavior of actual organisms as a way to get some control over program outcomes. So you had programmers studying ant swarming, or termite mounding, or bee dancing, in order to write programs to control airplane landing schedules, or package routing, or language translation. These programs often worked beautifully, but they could still go awry, particularly if circumstances changed drastically. Then they would lose their goals. That was why I began, five years ago, to model predator-prey relationships as a way to keep goals fixed. Because hungry predators weren’t distracted. Circumstances might force them to improvise their methods; and they might try many times before they succeeded-but they didn’t lose track of their goal.
So I became an expert in predator-prey relationships. I knew about packs of hyenas, African hunting dogs, stalking lionesses, and attacking columns of army ants. My team had studied the literature from the field biologists, and we had generalized those findings into a program module called PREDPREY, which could be used to control any system of agents and make its behavior purposeful. To make the program seek a goal.
Looking at Ricky’s screen, the coordinated units moving smoothly as they turned through the air, I said, “You used PREDPREY to program your individual units?”
“Right. We used those rules.”
“Well, the behavior looks pretty good to me,” I said, watching the screen. “Why is there a problem?”
“We’re not sure.”
“What does that mean?”
“It means we know there’s a problem, but we’re not sure what’s causing it. Whether the problem is programming-or something else.”
“Something else? Like what?” I frowned. “I don’t get it, Ricky. This is just a cluster of microbots. You can make it do what you want. If the programming’s not right, you adjust it. What don’t I understand?”
Ricky looked at me uneasily. He pushed his chair away from the table and stood. “Let me show you how we manufacture these agents,” he said. “Then you’ll understand the situation better.” Having watched Julia’s demo tape, I was immensely curious to see what he showed me next. Because many people I respected thought molecular manufacturing was impossible. One of the major theoretical objections was the time it would take to build a working molecule. To work at all, the nanoassembly line would have to be far more efficient than anything previously known in human manufacturing. Basically, all man-made assembly lines ran at roughly the same speed: they could add one part per second. An automobile, for example, had a few thousand parts. You could build a car in a matter of hours. A commercial aircraft had six million parts, and took several months to build.
But a typical manufactured molecule consisted of 1025 parts. That was 10,000,000,000,000,000,000,000,000 parts. As a practical matter, this number was unimaginably large. The human brain couldn’t comprehend it. But calculations showed that even if you could assemble at the rate of a million parts per second, the time to complete one molecule would still be 3,000 trillion years-longer than the known age of the universe. And that was a problem. It was known as the build-time problem.
I said to Ricky, “If you’re doing industrial manufacturing…”
“We are.”
“Then you must have solved the build-time problem.”
“We have.”
“How?”
“Just wait.”
Most scientists assumed this problem would be solved by building from larger subunits, molecular fragments consisting of billions of atoms. That would cut the assembly time down to a couple of years. Then, with partial self-assembly, you might get the time down to several hours, perhaps even one hour. But even with further refinements, it remained a theoretical challenge to produce commercial quantities of product. Because the goal was not to manufacture a single molecule in an hour. The goal was to manufacture several pounds of molecules in an hour. No one had ever figured out how to do that.
We passed a couple of laboratories, including one that looked like a standard microbiology lab, or a genetics lab. I saw Mae standing in that lab, puttering around. I started to ask Ricky why he had a microbiology lab here, but he brushed my question aside. He was impatient now, in a hurry. I saw him glance at his watch. Directly ahead was a final glass airlock. Stenciled on the glass door was MicroFabrication. Ricky waved me in. “One at a time,” he said. “That’s all the system allows.”
I stepped in. The doors hissed shut behind me, the pressure pads again thunking shut. Another blast of air: from below, from the sides, from above. By now I was getting used to it. The second door opened, and I walked forward down another short corridor, opening into a large room beyond. I saw bright, shining white light-so bright it hurt my eyes. Ricky came after me, talking as we walked, but I don’t remember what he said. I couldn’t focus on his words. I just stared. Because by now I was inside the main fab building-a huge windowless space, like a giant hangar three stories high. And within this hangar stood a structure of immense complexity that seemed to hang in midair, glowing like a jewel.
DAY 6
9:12 A.M.
At first, it was hard to understand what I was seeing-it looked like an enormous glowing octopus rising above me, with glinting, faceted arms extending outward in all directions, throwing complex reflections and bands of color onto the outer walls. Except this octopus had multiple layers of arms. One layer was low, just a foot above the floor. A second was at chest-level; the third and fourth layers were higher, above my head. And they all glowed, sparkled brilliantly.
I blinked, dazzled. I began to make out the details. The octopus was contained within an irregular three-story framework built entirely of modular glass cubes. Floors, walls, ceilings, staircases-everything was cubes. But the arrangement was haphazard, as if someone had dumped a mound of giant transparent sugar cubes in the center of the room. Within this cluster of cubes the arms of the octopus snaked off in all directions. The whole thing was held up by a web of black anodized struts and connectors, but they were obscured by the reflections, which is why the octopus seemed to hang in midair.
Ricky grinned. “Convergent assembly. The architecture is fractal. Neat, huh?” I nodded slowly. I was seeing more details. What I had seen as an octopus was actually a branching tree structure. A central square conduit ran vertically through the center of the room, with smaller pipes branching off on all sides. From these branches, even smaller pipes branched off in turn, and smaller ones still. The smallest of the pipes were pencil-thin. Everything gleamed as if it were mirrored.
“Why is it so bright?”
“The glass has diamondoid coating,” he said. “At the molecular level, glass is like Swiss cheese, full of holes. And of course it’s a liquid, so atoms just pass right through it.”
“So you coat the glass.”
“Right. Have to.”
Within this shining forest of branching glass, David and Rosie moved, making notes, adjusting valves, consulting handheld computers. I understood that I was looking at a massively parallel assembly line. Small fragments of molecules were introduced into the smallest pipes, and atoms were added to them. When that was finished, they moved into the next largest pipes, where more atoms were added. In this way, molecules moved progressively toward the center of the structure, until assembly was completed, and they were discharged into the central pipe. “Exactly right,” Ricky said. “This is just the same as an automobile assembly line, except that it’s on a molecular scale. Molecules start at the ends, and come down the line to the center. We stick on a protein sequence here, a methyl group there, just the way they stick doors and wheels on a car. At the end of the line, off rolls a new, custom-made molecular structure. Built to our specifications.”
“And the different arms?”
“Make different molecules. That’s why the arms look different.” In several places, the octopus arm passed through a steel tunnel reinforced with heavy bolts, for vacuum ducting. In other places, a cube was covered with quilted silver insulation, and I saw liquid nitrogen tanks nearby; extremely low temperatures were generated in that section.
“Those’re our cryogenic rooms,” Ricky said. “We don’t go very low, maybe -70 Centigrade, max. Come on, I’ll show you.” He led me through the complex, following glass walkways that threaded among the arms. In some places, a short staircase enabled us to step over the lowest arms.
Ricky chatted continuously about technical details: vacuum-jacketed hoses, metal phase separators, globe check valves. When we reached the insulated cube, he opened the heavy door to reveal a small room, with a second room adjacent. It looked like a pair of meat lockers. Small glass windows were set in each door. At the moment, everything was at room temperature. “You can have two different temps here,” he said. “Run one from the other, if you want, but it’s usually automated.”
Ricky led me back outside, glancing at his watch as he did so. I said, “Are we late for an appointment?”
“What? No, no. Nothing like that.” Nearby two cubes were actually solid metal rooms, with thick electrical cables running inside. I said, “Those your magnet rooms?”
“That’s right,” Ricky said. “We’ve got pulsed field magnets generating 33 Tesla in the core. That’s something like a million times the magnetic field of the earth.” With a grunt, he pushed open the steel door to the nearest magnet room. I saw a large doughnut-shaped object, about six feet in diameter, with a hole in the center about an inch wide. The doughnut was completely encased in tubing and plastic insulation. Heavy steel bolts running from top to bottom held the jacketing in place.
“Lot of cooling for this puppy, I can tell you. And a lot of power: fifteen kilovolts. Takes a full-minute load time for the capacitors. And of course we can only pulse it. If we turned it on continuously, it’d explode-ripped apart by the field it generates.” He pointed to the base of the magnet, where there was a round push button at knee level. “That’s the safety cutoff there,” he said. “Just in case. Hit it with your knee if your hands are full.”
I said, “So you use high magnetic fields to do part of your assemb-”
But Ricky had already turned and headed out the door, again glancing at his watch. I hurried after him.
“Ricky…”
“I have more to show you,” he said. “We’re getting to the end.”
“Ricky, this is all very impressive,” I said, gesturing to the glowing arms. “But most of your assembly line is running at room temperature-no vacuum, no cryo, no mag field.”
“Right. No special conditions.”
“How is that possible?”
He shrugged. “The assemblers don’t need it.”
“The assemblers?” I said. “Are you telling me you’ve got molecular assemblers on this line?”
“Yes. Of course.”
“Assemblers are doing your fabrication for you?”
“Of course. I thought you understood that.”
“No, Ricky,” I said, “I didn’t understand that at all. And I don’t like to be lied to.”
He got a wounded look on his face. “I’m not lying.”
But I was certain that he was.
One of the first things scientists learned about molecular manufacturing was how phenomenally difficult it was to carry out. In 1990, some IBM researchers pushed xenon atoms around on a nickel plate until they formed the letters “IBM” in the shape of the company logo. The entire logo was one ten-billionth of an inch long and could only be seen through an electron microscope. But it made a striking visual and it got a lot of publicity. IBM allowed people to think it was a proof of concept, the opening of a door to molecular manufacturing. But it was more of a stunt than anything else.
Because pushing individual atoms into a specific arrangement was slow, painstaking, and expensive work. It took the IBM researchers a whole day to move thirty-five atoms. Nobody believed you could create a whole new technology in this way. Instead, most people believed that nanoengineers would eventually find a way to build “assemblers”-miniature molecular machines that could turn out specific molecules the way a ball-bearing machine turned out ball bearings. The new technology would rely on molecular machines to make molecular products. It was a nice concept, but the practical problems were daunting. Because assemblers were vastly more complicated than the molecules they made, attempts to design and build them had been difficult from the outset. To my knowledge, no laboratory anywhere in the world had actually done it. But now Ricky was telling me, quite casually, that Xymos could build molecular assemblers that were now turning out molecules for the company. And I didn’t believe him.
I had worked all my life in technology, and I had developed a feel for what was possible. This kind of giant leap forward just didn’t happen. It never did. Technologies were a form of knowledge, and like all knowledge, technologies grew, evolved, matured. To believe otherwise was to believe that the Wright brothers could build a rocket and fly to the moon instead of flying three hundred feet over sand dunes at Kitty Hawk.
Nanotechnology was still at the Kitty Hawk stage.
“Come on, Ricky,” I said. “How are you really doing this?”
“The technical details aren’t that important, Jack.”
“What fresh bullshit is this? Of course they’re important.”
“Jack,” he said, giving me his most winning smile. “Do you really think I’m lying to you?”
“Yes, Ricky,” I said. “I do.”
I looked up at the octopus arms all around me. Surrounded by glass, I saw my own reflection dozens of times in the surfaces around me. It was confusing, disorienting. Trying to gather my thoughts, I looked down at my feet.
And I noticed that even though we had been walking on glass walkways, some sections of the ground floor were glass, as well. One section was nearby. I walked toward it. Through the glass I could see steel ducting and pipes below ground level. One set of pipes caught my eye, because they ran from the storage room to a nearby glass cube, at which point they emerged from the floor and headed upward, branching into the smaller tubes. That, I assumed, was the feedstock-the slush of raw organic material that would be transformed on the assembly line into finished molecules.
Looking back down at the floor, I followed the pipes backward to the place where they entered from the adjacent room. This junction was glass, too. I could see the curved steel underbellies of the big kettles I’d noticed earlier. The tanks that I had thought were a microbrewery. Because that’s certainly what it had looked like, a small brewery. Machinery for controlled fermentation, for controlled microbial growth.
And then I realized what it really was.
I said, “You son of a bitch.”
Ricky smiled again, and shrugged. “Hey,” he said. “It gets the job done.” Those kettles in the next room were indeed tanks for controlled microbial growth. But Ricky wasn’t making beer-he was making microbes, and I had no doubt about the reason why. Unable to construct genuine nanoassemblers, Xymos was using bacteria to crank out their molecules. This was genetic engineering, not nanotechnology. “Well, not exactly,” Ricky said, when I told him what I thought. “But I admit we’re using a hybrid technology. Not much of a surprise in any case, is it?” That was true. For at least ten years, observers had been predicting that genetic engineering, computer programming, and nanotechnology would eventually merge. They were all involved with similar-and interconnected-activities. There wasn’t that much difference between using a computer to decode part of a bacterial genome and using a computer to help you insert new genes into the bacteria, to make new proteins. And there wasn’t much difference between creating a new bacteria to spit out, say, insulin molecules, and creating a man-made, micromechanical assembler to spit out new molecules. It was all happening at the molecular level. It was all the same challenge of imposing human design on extremely complex systems. And molecular design was nothing if not complicated.
You could think of a molecule as a series of atoms snapped together like Lego blocks, one after another. But the image was misleading. Because unlike a Lego set, atoms couldn’t be snapped together in any arrangement you liked. An inserted atom was subject to powerful local forces-magnetic and chemical-with frequently undesirable results. The atom might be kicked out of its position. It might remain, but at an awkward angle. It might even fold the entire molecule up in knots.
As a result, molecular manufacturing was an exercise in the art of the possible, of substituting atoms and groups of atoms to make equivalent structures that would work in the desired way. In the face of all this difficulty, it was impossible to ignore the fact that there already existed proven molecular factories capable of turning out large numbers of molecules: they were called cells.
“Unfortunately, cellular manufacturing can take us only so far,” Ricky said. “We harvest the substrate molecules-the raw materials-and then we build on them with nanoengineering procedures. So we do a little of both.”
I pointed down at the tanks. “What cells are you growing?”
“Theta-d 5972,” he said.
“Which is?”
“A strain of E. coli.”
E. coli was a common bacterium, found pretty much everywhere in the natural environment, even in the human intestine. I said, “Did anyone think it might not be a good idea to use cells that can live inside human beings?”
“Not really,” he said. “Frankly that wasn’t a consideration. We just wanted a well-studied cell that was fully documented in the literature. We chose an industry standard.”
“Uh-huh…”