“Love at first sight?” Ben asked.

“Hardly! We’re just tracing input and feedback. If you look at all those finger extensions under a glass you will see they are clustered in regular bundles. Each bundle contains a tripartite subbundle made up of two optical pickups and a single light source. The pickups are mounted at fixed distances from each other. Does that give you any ideas?”

“Yes — binocular vision.”

“Bang on. In addition to what you might call the eyes in every bundle there are four mechanical manipulators. Three blunt-ended ones for grabbing, the fourth with a knife edge for dismembering. This carves off the insect’s head just before the thing is dropped into the hopper. The bundles work independently — almost.”

“What do you mean?”

“Let me run a film for you and you’ll see for yourself.”

Brian put a cassette into the video, ran it forward to the right spot. “We shot this at very high speed, then slowed it down. Take a look.”

The image was sharp and clear and magnified many times. Rounded metal bars reached out slowly to embrace a foot-long fly. Its wings flapped slowly and ineffectively as it was drawn out of sight off the screen. The same process was happening to an aphid located off to one side.

“I’ll run it again,” Brian said. “This time keep your eye on the second bug. Watch. See the bundle above it? First it’s motionless — there, now it is operating. But the fly didn’t move until it had been grabbed. Do you see what that means?”

“I saw it — but I’m being dumb today. What’s the significance?”

“The hand didn’t try to use brute force and speed to try to catch the fly in flight. Instead, this robot uses real knowledge to anticipate the behavior of each particular kind of insect! When it goes for the housefly, Bug-Off contracts its grasping-bundle as it approaches the fly, making it look to the housefly as though it were moving away from it — until it’s too late for the insect to escape. And we’re sure that was no accident. Bug-Off seems to know the behavior of every insect described in this book.”

Brian handed Ben a large volume entitled Handbook of Insect Ethology, 2018 Edition.

“But how can Bug-Off tell which insect it is dealing with? They all look the same to me.”

“A good question — since pattern recognition has been the bane of AI from the very first day that research began. Industrial robots were never very good at recognizing and assembling parts if they weren’t presented in a certain way. There are thousands of different signals involved in seeing a human face, then recognizing who it is. If you wrote a program for picking bugs off bushes you would have to program in every bug in the world, and size and rotation position and everything else. A very big and difficult program—”

“And hard to debug?”

“Funny — but too true! But you or I — or a really humanlike AI would be very good at bug grabbing. All the identification and reaching out and grabbing operations are hideously complex — but invisible to us. They are one of the attributes, one of the functions of intelligence. Just reach out and grab. Without putting in any complex program. And that’s what is happening here — we think. If there is an AI in there it is reaching out one bundle at a time and grabbing a bug. As soon as the insect is held it turns the grabbing bundle over to a subprogram that plucks it off, brings it to the container, chops it dead and dumps it, then returns to operating position ready to be controlled again. Meanwhile the AI has controlled another bundle to make a grab, another and then another, changing control faster than we can see at normal speeds. You or I could do that just as well.”

“Speak for yourself, Brian. Sounds pretty boring to me.”

“Machines don’t get bored — at least not yet. But so far this is all inferred evidence. Now I’m going to show you something a good deal better. Do you see how Sven is plugged into Bug-Off’s operating system? It is reading every bit of input from the detectors as well as getting all the return control messages. I am sure that you know that the society of the mind, human or artificial, is made of very small subunits, none of them intelligent in themselves. The aggregate of their operation is what we call intelligence. If we could pull out one of the subunits and look at it we might be able to understand just how it operates.”

“In a human brain?”

“Pretty impossible. But in an AI, at an early stage of construction, these subunits can be identified. After analyzing some of the feedback loops in Bug-Off we found a pattern, a bit of a program that could be identified. Here it is — let me show it to you.”

Brian punched up the program on the screen, a series of instructions. Brian rubbed his hands together and smiled happily.

“Next I want to show you another bit of programming. This was retrieved from the data bank in Mexico. A chunk of instructions that I don’t even remember — but I was the only one who could have possibly written it. Here, let me split the screen and put this one up there as well.”

The two programs were side by side on the screen. Brian scrolled them slowly forward together. Ben looked from one to the other — then gasped.

“My God — they’re exactly the same.”

“They are. One I wrote over two years ago. The other is inside this machine here. Identical.”

Ben was suddenly very grim. “Do you mean that there are no other records of this bit of programming anywhere in the world? That it doesn’t have any commercial use in another program?”

“I mean just that. I wrote it and backed it up in Mexico. The original was stolen. The thieves probably didn’t understand it enough to rewrite it so just used it as is. And whoever stole it — built it into this bug-plucker. We have them!”

“Yes,” Ben said, very quietly. “I think that we do.”

“Do you realize that it has been all of a week?” Brian said. “An entire bloody week has gone by since I proved to everyone’s satisfaction that the bug-plucking metal bastard was built by the same people who stole my AI. And, perhaps not important to you, but damn important to me, also the same people who shot half my head away at the time. And in that week absolutely nothing has been done.”

“That’s not quite true,” Ben said, as quietly and gently as he could. “The investigation is continuing. There must be over eighty agents working on this one way or another—”

“I don’t care if the entire FBI and CIA put together is on the job. When will something be done?”

Ben sat in silence, sipping at his beer. They had been in Brian’s quarters for over an hour, waiting for the promised call. Everyone was on edge over the delay. Ben had explained this slowly and carefully more than once. But Brian’s patience was gone — and that was understandable. The tension had been building ever since the discovery that DigitTech was manufacturing AIs using his design. He kept waiting for something to happen, some breakthrough to occur. No work was being done in his lab — and he wasn’t helping the situation either by mixing himself a third lethal-looking margarita. Since one of the corporals in the club had shown him how to make these he had never looked back. He raised the glass and was taking a good-sized gulp when his phone rang. He swallowed too fast, slammed the glass down and groped the phone from his belt. Coughing and gasping as he answered.

“Yes—” He coughed heavily. “Would you say that again? — Right.” He dabbed his eyes and lips with his handkerchief, finally got his breath back. “Conference call in ten minutes, I have that.”

“Let’s go,” Ben said with great relief, putting down his glass and climbing to his feet. When they went out of the front door of the barracks they found that Major Wood and a squad were waiting for them.