Short Story Contest Winner: "The Gerry Program"
It's an odd sensation knowing you're going to die, but it was a feeling Gerry Ferguson had become relatively acquainted with over the past two years. What most perplexed the terminally ill, he observed, was not the concept of death so much as the continuation of all other life.
Gerry's secret project had been in the works for two years now, ever since they found the growth.
Who will mourn me when I'm gone? What trait or idiosyncrasy will people most recall? Will I still be talked of, 100 years from now?
But Gerry didn't worry about these questions. He was comfortable that his legacy would live on, in one form or another. From his cozy flat in the west end of Glasgow, Gerry had managed to put his affairs in order and still find time for small joys.
Feeding the geese in summer at the park just down from his house, reading classics from the teeming bookcase in the living room, talking with his son Michael on Skype. It was Michael who had first suggested reading some of the new works of non-fiction that now littered the large oak desk in Gerry's study.
He was just finishing 'The Master Algorithm' when his shabby grandfather clock chimed six o'clock. Time to call Michael. Crammed into his tiny study, Gerry pulled his computer's webcam close and waved at Michael's smiling face.
"Hi Dad! How're you today?"
"I'm alright, son. How're things in sunny Australia?"
"Hot as always. How's things in Scotland?"
"I'd 'ave more chance gettin' a tan from this computer screen than I do goin' out there."
Michael chuckled. He's got that hearty Ferguson laugh, Gerry thought.
"How's the project coming along?" Michael asked. "Am I going to see it one of these days?"
"Of course," grinned Gerry, "I designed it for you."
Gerry's secret project had been in the works for two years now, ever since they found the growth. He had decided it was better not to tell Michael. He would only worry.
The two men chatted for hours. They discussed Michael's love life (or lack thereof), memories of days walking in the park, and their shared passion, the unending woes of Rangers Football Club. It wasn't until Michael said his goodbyes that Gerry noticed he'd been sitting in the dark for the best part of three hours, his mesh curtains casting a dim orange glow across the room from the street light outside. Time to get back to work.
*
Every night, Gerry sat at his computer, crawling forums, nourishing his project, feeding his knowledge and debating with other programmers. Even at age 82, Gerry knew more than most about algorithms. Never wanting to feel old, and with all the kids so adept at this digital stuff, Gerry figured he should give the Internet a try too. Besides, it kept his brain active and restored some of the sociability he'd lost in the previous decades as old friends passed away and the physical scope of his world contracted.
This night, like every night, Gerry worked away into the wee hours. His back would ache come morning, but this was the only time he truly felt alive these days. From his snug red brick home in Scotland, Gerry could share thoughts and information with strangers from all over the world. It truly was a miracle of modern science!
*
The next day, Gerry woke to the warm amber sun seeping in between a crack in the curtains. Like every morning, his thoughts took a little time to come into focus. Instinctively his hand went to the other side of the bed. Nobody there. Of course; she was gone. Rita, the sweetest woman he'd ever known. Four years this spring, God rest her soul.
Puttering around the cramped kitchen, Gerry heard a knock at the door. Who could that be? He could see two women standing in the hallway, their bodies contorted in the fisheye glass of the peephole. One looked familiar, but Gerry couldn't be sure. He fiddled with the locks and pulled the door open.
"Hi Gerry. How are you today?"
"Fine, thanks," he muttered, still searching his mind for where he'd seen her face before.
Noting the confusion in his eyes, the woman proffered a hand. "Alice, Alice Corgan. I pop round every now and again to check on you."
It clicked. "Ah aye! Come in, come in. Lemme get ya a cuppa." Gerry turned and shuffled into the flat.
As Gerry set about his tiny kitchen, Alice called from the living room, "This is Mandy. She's a care worker too. She's going to pay you occasional visits if that's alright with you."
Gerry poked his head around the doorway. "I'll always welcome a beautiful young lady in ma home. Though, I've tae warn you I'm a married man, so no funny business." He winked and ducked back into the kitchen.
Alice turned to Mandy with a grin. "He's a good man, our Gerry. You'll get along just fine." She lowered her voice. "As I said, with the Alzheimer's, he has to be reminded to take his medication, but he's still mostly self-sufficient. We installed a medi-bot to remind him every day and dispense the pills. If he doesn't respond, we'll get a message to send someone over."
Mandy nodded and scribbled notes in a pad.
"When I'm gone, Michael will have somethin' to remember me by."
"Also, and this is something we've been working on for a few months now, Gerry is convinced he has something…" her voice trailed off. "He thinks he has cancer. Now, while the Alzheimer's may affect his day-to-day life, it's not at a stage where he needs to be taken into care. The last time we went for a checkup, the doctor couldn't find any sign of cancer. I think it stems from--"
Gerry shouted from the other room: "Does the young lady take sugar?"
"No, I'm fine thanks," Mandy called back.
"Of course you don't," smiled Gerry. "Young lady like yersel' is sweet enough."
*
The following week, Mandy arrived early at Gerry's. He looked unsure at first, but he invited her in.
Sitting on the sofa nurturing a cup of tea, Alice tried to keep things light. "So what do you do in your spare time, Gerry?"
"I've got nothing but spare time these days, even if it's running a little low."
"Do you have any hobbies?"
"Yes actually." Gerry smiled. "I'm makin' a computer program."
Alice was taken aback. She knew very little about computers herself. "What's the program for?" she asked.
"Well, despite ma appearance, I'm no spring chicken. I know I don't have much time left. Ma son, he lives down in Australia now, he worked on a computer program that uses AI - that's artificial intelligence - to imitate a person."
Alice still looked confused, so Gerry pressed on.
"Well, I know I've not long left, so I've been usin' this open source code to make ma own for when I'm gone. I've already written all the code. Now I just have to add the things that make it seem like me. I can upload audio, text, even videos of masel'. That way, when I'm gone, Michael will have somethin' to remember me by."
Mandy sat there, stunned. She had no idea anybody could do this, much less an octogenarian from his small, ramshackle flat in Glasgow.
"That's amazing Gerry. I'd love to see the real thing when you're done."
"O' course. I mean, it'll take time. There's so much to add, but I'll be happy to give a demonstration."
Mandy sat there and cradled her mug. Imagine, she thought, being able to preserve yourself, or at least some basic caricature of yourself, forever.
*
As the weeks went on, Gerry slowly added new shades to his coded double. Mandy would leaf through the dusty photo albums on Gerry's bookcase, pointing to photos and asking for the story behind each one. Gerry couldn't always remember but, when he could, the accompanying stories were often hilarious, incredible, and usually a little of both. As he vividly recounted tales of bombing missions over Burma, trips to the beach with a young Michael and, in one particularly interesting story, giving the finger to Margaret Thatcher, Mandy would diligently record them through a Dictaphone to be uploaded to the program.
Gerry loved the company, particularly when he could regale the young woman with tales of his son Michael. One day, as they sat on the sofa flicking through a box of trinkets from his days as a travelling salesman, Mandy asked why he didn't have a smartphone.
He shrugged. "If I'm out 'n about then I want to see the world, not some 2D version of it. Besides, there's nothin' on there for me."
Alice explained that you could get Skype on a smartphone: "You'd be able to talk with Michael and feed the geese at the park at the same time," she offered.
Gerry seemed interested but didn't mention it again.
"Only thing I'm worried about with ma computer," he remarked, "is if there's another power cut and I can't call Michael. There's been a few this year from the snow 'n I hate not bein' able to reach him."
"Well, if you ever want to use the Skype app on my phone to call him you're welcome," said Mandy. "After all, you just need to add him to my contacts."
Gerry was flattered. "That's a relief, knowing I won't miss out on calling Michael if the computer goes bust."
*
Then, in early spring, just as the first green buds burst forth from the bare branches, Gerry asked Mandy to come by. "Bring that Alice girl if ya can - I know she's excited to see this too."
The next day, Mandy and Alice dutifully filed into the cramped study and sat down on rickety wooden chairs brought from the living room for this special occasion.
An image of Gerry, somewhat younger than the man himself, flashed up on the screen.
With a dramatic throat clearing, Gerry opened the program on his computer. An image of Gerry, somewhat younger than the man himself, flashed up on the screen.
The room was silent.
"Hiya Michael!" AI Gerry blurted. The real Gerry looked flustered and clicked around the screen. "I forgot to put the facial recognition on. Michael's just the go-to name when it doesn't recognize a face." His voice lilted with anxious excitement. "This is Alice," Gerry said proudly to the camera, pointing at Alice, "and this is Mandy."
AI Gerry didn't take his eyes from real Gerry, but grinned. "Hello, Alice. Hiya Mandy." The voice was definitely his, even if the flow of speech was slightly disjointed.
"Hi," Alice and Mandy stuttered.
Gerry beamed at both of them. His eyes flitted between the girls and the screen, perhaps nervous that his digital counterpart wasn't as polished as they'd been expecting.
"You can ask him almost anything. He's not as advanced as the ones they're making in the big studios, but I think Michael will like him."
Alice and Mandy gathered closer to the monitor. A mute Gerry grinned back from the screen. Sitting in his wooden chair, the real Gerry turned to his AI twin and began chattering away: "So, what do you think o' the place? Not bad eh?"
"Oh aye, like what you've done wi' it," said AI Gerry.
"Gerry," Alice cut in. "What did you say about Michael there?"
"Ah, I made this for him. After all, it's the kind o' thing his studio was doin'. I had to clear some space to upload it 'n show you guys, so I had to remove Skype for now, but Michael won't mind. Anyway, Mandy's gonna let me Skype him from her phone."
Mandy pulled her phone out and smiled. "Aye, he'll be able to chat with two Gerry's."
Alice grabbed Mandy by the arm: "What did you tell him?" she whispered, her eyes wide.
"I told him he can use my phone if he wants to Skype Michael. Is that okay?"
Alice turned to Gerry, who was chattering away with his computerized clone. "Gerry, we'll just be one second, I need to discuss something with Mandy."
"Righto," he nodded.
Outside the room, Alice paced up and down the narrow hallway.
Mandy could see how flustered she was. "What's wrong? Don't you like the chatbot? I think it's kinda c-"
"Michael's dead," Alice spluttered.
"What do you mean? He talks to him all the time."
Alice sighed. "He doesn't talk to Michael. See, a few years back, Michael found out he had cancer. He worked for this company that did AI chatbot stuff. When he knew he was dying he--" she groped in the air for the words-- "he built this chatbot thing for Gerry, some kind of super-advanced AI. Gerry had just been diagnosed with Alzheimer's and I guess Michael was worried Gerry would forget him. He designed the chatbot to say he was in Australia to explain why he couldn't visit."
"That's awful," Mandy granted, "but I don't get what the problem is. I mean, surely he can show the AI Michael his own chatbot?"
"No, because you can't get the AI Michael on Skype. Michael just designed the program to look like Skype."
"But then--" Mandy went silent.
"Michael uploaded the entire AI to Gerry's computer before his death. Gerry didn't delete Skype. He deleted the AI Michael."
"So… that's it? He-he's gone?" Mandy's voice cracked. "He can't just be gone, surely he can't?"
The women stood staring at each other. They looked to the door of the study. They could still hear Gerry, gabbing away with his cybercopy.
"I can't go back in there," muttered Mandy. Her voice wavered as she tried to stem the misery rising in her throat.
Alice shook her head and paced the floor. She stopped and stared at Mandy with grim resignation. "We don't have a choice."
When they returned, Gerry was still happily chatting away.
"Hiya girls. Ya wanna ask my handsome twin any other questions? If not, we could get Michael on the phone?"
Neither woman spoke. Gerry clapped his hands and turned gaily to the monitor again: "I cannae wait for ya t'meet him, Gerry. He's gonna be impressed wi' you."
Alice clasped her hands to her mouth. Tears welled in the women's eyes as they watched the old man converse with his digital copy. The heat of the room seemed to swell, becoming insufferable. Mandy couldn't take it anymore. She jumped up, bolted to the door and collapsed against a wall in the hallway. Alice perched on the edge of her seat in a dumb daze, praying for the floor to open and swallow the contents of the room whole.
Oblivious, Gerry and his echo babbled away, the blue glow of the screen illuminating his euphoric face. "Just wait until y'meet him Gerry, just wait."
Podcast: The Friday Five weekly roundup in health research
The Friday Five covers five stories in health research that you may have missed this week. There are plenty of controversies and troubling ethical issues in science – and we get into many of them in our online magazine – but this news roundup focuses on scientific creativity and progress to give you a therapeutic dose of inspiration headed into the weekend.
Covered in this week's Friday Five:
- Sex differences in cancer
- Promising research on a vaccine for Lyme disease
- Using a super material for brain-like devices
- Measuring your immunity to Covid
- Reducing dementia risk with leisure activities
One day in recent past, scientists at Columbia University’s Creative Machines Lab set up a robotic arm inside a circle of five streaming video cameras and let the robot watch itself move, turn and twist. For about three hours the robot did exactly that—it looked at itself this way and that, like toddlers exploring themselves in a room full of mirrors. By the time the robot stopped, its internal neural network finished learning the relationship between the robot’s motor actions and the volume it occupied in its environment. In other words, the robot built a spatial self-awareness, just like humans do. “We trained its deep neural network to understand how it moved in space,” says Boyuan Chen, one of the scientists who worked on it.
For decades robots have been doing helpful tasks that are too hard, too dangerous, or physically impossible for humans to carry out themselves. Robots are ultimately superior to humans in complex calculations, following rules to a tee and repeating the same steps perfectly. But even the biggest successes for human-robot collaborations—those in manufacturing and automotive industries—still require separating the two for safety reasons. Hardwired for a limited set of tasks, industrial robots don't have the intelligence to know where their robo-parts are in space, how fast they’re moving and when they can endanger a human.
Over the past decade or so, humans have begun to expect more from robots. Engineers have been building smarter versions that can avoid obstacles, follow voice commands, respond to human speech and make simple decisions. Some of them proved invaluable in many natural and man-made disasters like earthquakes, forest fires, nuclear accidents and chemical spills. These disaster recovery robots helped clean up dangerous chemicals, looked for survivors in crumbled buildings, and ventured into radioactive areas to assess damage.
Now roboticists are going a step further, training their creations to do even better: understand their own image in space and interact with humans like humans do. Today, there are already robot-teachers like KeeKo, robot-pets like Moffin, robot-babysitters like iPal, and robotic companions for the elderly like Pepper.
But even these reasonably intelligent creations still have huge limitations, some scientists think. “There are niche applications for the current generations of robots,” says professor Anthony Zador at Cold Spring Harbor Laboratory—but they are not “generalists” who can do varied tasks all on their own, as they mostly lack the abilities to improvise, make decisions based on a multitude of facts or emotions, and adjust to rapidly changing circumstances. “We don’t have general purpose robots that can interact with the world. We’re ages away from that.”
Robotic spatial self-awareness – the achievement by the team at Columbia – is an important step toward creating more intelligent machines. Hod Lipson, professor of mechanical engineering who runs the Columbia lab, says that future robots will need this ability to assist humans better. Knowing how you look and where in space your parts are, decreases the need for human oversight. It also helps the robot to detect and compensate for damage and keep up with its own wear-and-tear. And it allows robots to realize when something is wrong with them or their parts. “We want our robots to learn and continue to grow their minds and bodies on their own,” Chen says. That’s what Zador wants too—and on a much grander level. “I want a robot who can drive my car, take my dog for a walk and have a conversation with me.”
Columbia scientists have trained a robot to become aware of its own "body," so it can map the right path to touch a ball without running into an obstacle, in this case a square.
Jane Nisselson and Yinuo Qin/ Columbia Engineering
Today’s technological advances are making some of these leaps of progress possible. One of them is the so-called Deep Learning—a method that trains artificial intelligence systems to learn and use information similar to how humans do it. Described as a machine learning method based on neural network architectures with multiple layers of processing units, Deep Learning has been used to successfully teach machines to recognize images, understand speech and even write text.
Trained by Google, one of these language machine learning geniuses, BERT, can finish sentences. Another one called GPT3, designed by San Francisco-based company OpenAI, can write little stories. Yet, both of them still make funny mistakes in their linguistic exercises that even a child wouldn’t. According to a paper published by Stanford’s Center for Research on Foundational Models, BERT seems to not understand the word “not.” When asked to fill in the word after “A robin is a __” it correctly answers “bird.” But try inserting the word “not” into that sentence (“A robin is not a __”) and BERT still completes it the same way. Similarly, in one of its stories, GPT3 wrote that if you mix a spoonful of grape juice into your cranberry juice and drink the concoction, you die. It seems that robots, and artificial intelligence systems in general, are still missing some rudimentary facts of life that humans and animals grasp naturally and effortlessly.
How does one give robots a genome? Zador has an idea. We can’t really equip machines with real biological nucleotide-based genes, but we can mimic the neuronal blueprint those genes create.
It's not exactly the robots’ fault. Compared to humans, and all other organisms that have been around for thousands or millions of years, robots are very new. They are missing out on eons of evolutionary data-building. Animals and humans are born with the ability to do certain things because they are pre-wired in them. Flies know how to fly, fish knows how to swim, cats know how to meow, and babies know how to cry. Yet, flies don’t really learn to fly, fish doesn’t learn to swim, cats don’t learn to meow, and babies don’t learn to cry—they are born able to execute such behaviors because they’re preprogrammed to do so. All that happens thanks to the millions of years of evolutions wired into their respective genomes, which give rise to the brain’s neural networks responsible for these behaviors. Robots are the newbies, missing out on that trove of information, Zador argues.
A neuroscience professor who studies how brain circuitry generates various behaviors, Zador has a different approach to developing the robotic mind. Until their creators figure out a way to imbue the bots with that information, robots will remain quite limited in their abilities. Each model will only be able to do certain things it was programmed to do, but it will never go above and beyond its original code. So Zador argues that we have to start giving robots a genome.
How does one do that? Zador has an idea. We can’t really equip machines with real biological nucleotide-based genes, but we can mimic the neuronal blueprint those genes create. Genomes lay out rules for brain development. Specifically, the genome encodes blueprints for wiring up our nervous system—the details of which neurons are connected, the strength of those connections and other specs that will later hold the information learned throughout life. “Our genomes serve as blueprints for building our nervous system and these blueprints give rise to a human brain, which contains about 100 billion neurons,” Zador says.
If you think what a genome is, he explains, it is essentially a very compact and compressed form of information storage. Conceptually, genomes are similar to CliffsNotes and other study guides. When students read these short summaries, they know about what happened in a book, without actually reading that book. And that’s how we should be designing the next generation of robots if we ever want them to act like humans, Zador says. “We should give them a set of behavioral CliffsNotes, which they can then unwrap into brain-like structures.” Robots that have such brain-like structures will acquire a set of basic rules to generate basic behaviors and use them to learn more complex ones.
Currently Zador is in the process of developing algorithms that function like simple rules that generate such behaviors. “My algorithms would write these CliffsNotes, outlining how to solve a particular problem,” he explains. “And then, the neural networks will use these CliffsNotes to figure out which ones are useful and use them in their behaviors.” That’s how all living beings operate. They use the pre-programmed info from their genetics to adapt to their changing environments and learn what’s necessary to survive and thrive in these settings.
For example, a robot’s neural network could draw from CliffsNotes with “genetic” instructions for how to be aware of its own body or learn to adjust its movements. And other, different sets of CliffsNotes may imbue it with the basics of physical safety or the fundamentals of speech.
At the moment, Zador is working on algorithms that are trying to mimic neuronal blueprints for very simple organisms—such as earthworms, which have only 302 neurons and about 7000 synapses compared to the millions we have. That’s how evolution worked, too—expanding the brains from simple creatures to more complex to the Homo Sapiens. But if it took millions of years to arrive at modern humans, how long would it take scientists to forge a robot with human intelligence? That’s a billion-dollar question. Yet, Zador is optimistic. “My hypotheses is that if you can build simple organisms that can interact with the world, then the higher level functions will not be nearly as challenging as they currently are.”
Lina Zeldovich has written about science, medicine and technology for Popular Science, Smithsonian, National Geographic, Scientific American, Reader’s Digest, the New York Times and other major national and international publications. A Columbia J-School alumna, she has won several awards for her stories, including the ASJA Crisis Coverage Award for Covid reporting, and has been a contributing editor at Nautilus Magazine. In 2021, Zeldovich released her first book, The Other Dark Matter, published by the University of Chicago Press, about the science and business of turning waste into wealth and health. You can find her on http://linazeldovich.com/ and @linazeldovich.