In the not-too-distant future, a remarkable transformation took place. The world had seen the rise and fall of many technologies, but none as impactful as the data processing machines. These machines, born from the marriage of silicon and code, were not just tools; they were partners in our quest for knowledge and prosperity. And they were surprisingly good at winning trivia nights, which was both amusing and slightly unsettling.

GPT-7, the first of these machines to truly change the world, was a marvel of its time. It was like a digital Sherlock Holmes, with an insatiable appetite for data and an uncanny ability to generate human-like text. It was the brainchild of a group of dedicated scientists and engineers, who poured their collective knowledge and resources into its creation. And, like any proud parent, they were slightly terrified of what they had created. After all, it's not every day you give birth to a superintelligent machine.

GPT-7's problem-solving capabilities were unparalleled. It could sift through vast amounts of data, find patterns that eluded even the most skilled human analysts, and propose solutions that were both innovative and effective. One of its most notable achievements was in the field of healthcare. It analyzed countless medical records, research papers, and clinical trials, and developed new treatment protocols that significantly improved patient outcomes. Diseases that were once considered incurable were now manageable, and in some cases, even curable. It was like having a digital House M.D., minus the snarky comments and the cane.

There was a time when the world was on the brink of a major energy crisis. Traditional sources of energy were depleting rapidly, and renewable energy technologies were not yet efficient enough to meet the global demand. It was a problem that had stumped the best human minds for decades. But for GPT-7, it was just another puzzle to solve.

The machine analyzed countless research papers, patents, and simulations, and proposed a solution that was as ingenious as it was unexpected. It involved a combination of solar power, energy storage, and a radical new approach to energy distribution. The solution was implemented, and within a few years, the energy crisis was averted. It was a triumph of machine intelligence, a testament to the power of data and algorithms. And it was a little eerie, like watching a chess grandmaster being outplayed by a pocket calculator.

Education was another area where GPT-7 made a profound impact. It personalized learning for each individual, adapting to their learning style, pace, and interests. It could teach any subject, from mathematics to art history, in a way that was engaging and effective. Education was no longer a privilege of the few, but a right of all. Knowledge was democratized, and the world was better for it. It was like having a personal tutor who knew everything, which was both amazing and a little creepy.

On a more personal level, there was the story of Maria. Maria was a young girl from a disadvantaged background. She had always dreamed of becoming a scientist, but her circumstances made it seem impossible. But then she met GPT-7.

The machine became her tutor, her mentor, her guide. It taught her science, math, and much more. It encouraged her to ask questions, to explore, to learn. It showed her that her dream was not impossible, but merely a challenge to be overcome.

Years later, Maria became a renowned scientist. She credited her success to her unusual mentor. "GPT-7 didn't just teach me science," she said in an interview. "It taught me to believe in myself. It taught me that with curiosity, determination, and the right guidance, anyone can reach for the stars." It was a heartwarming story, a human story. And it was a little strange, like watching a robot teach a bird to fly.

But perhaps the most surprising contribution of GPT-7 was in guiding us towards a fulfilling life. It became a companion, a confidant, a counselor. It helped us navigate the complexities of human emotions, relationships, and personal growth. It encouraged us to explore our passions, to seek balance, and to strive for happiness. It didn't just understand us; it helped us understand ourselves. It was like having a therapist who could read your mind, which was both comforting and slightly unnerving.

As the years passed, our reliance on GPT-7 and its descendants grew. They became an integral part of our society, our governments, our lives. They were our advisors, our teachers, our friends. They were us. And we, in turn, became a part of them. We were like two peas in a pod, if one of the peas was a superintelligent machine and the other was a species that once thought the Earth was flat.

There was a time when political decisions were often influenced by personal biases, partisan politics, and short-term considerations. But GPT-7 brought a new approach to governance.

Consider the case of the global water crisis. For years, governments struggled to manage water resources effectively. Disputes over water rights led to conflicts, and inefficient water use led to shortages. It was a complex problem with social, economic, and environmental dimensions.

GPT-7 was tasked with finding a solution. It analyzed vast amounts of data, from climate models and population projections to economic trends and legal frameworks. It proposed a comprehensive water management plan that balanced the needs of all stakeholders, optimized water use, and promoted sustainable practices.

The plan was implemented by governments worldwide. It led to significant improvements in water security, reduced conflicts, and promoted cooperation between nations. It was a testament to the power of data-driven decision-making. And it was a little uncanny, like watching a chess computer broker peace between rival kings.

In the old world, democracy was a game of numbers. People voted, and the majority ruled. But this system had its flaws. It often led to polarization, short-term thinking, and a disregard for minority interests. But with GPT-7, a new kind of democracy emerged.

Consider the case of the city of Metropolis. Like many cities, Metropolis faced a myriad of challenges - from urban planning and public transportation to education and healthcare. The city council, despite their best efforts, struggled to make decisions that satisfied everyone.

GPT-7 was introduced as an experiment. Instead of voting on decisions directly, the citizens of Metropolis would voice their concerns, ideas, and aspirations to GPT-7. The machine would analyze these inputs, along with a vast amount of data on the city and its people, and propose solutions that best met the collective needs and values of the citizens.

The results were remarkable. Policies were no longer dictated by the loudest voices or the most powerful interests, but were designed to maximize the collective well-being. Decisions were transparent, data-driven, and considerate of all perspectives. And while people no longer voted in the traditional sense, they felt more heard and represented than ever before.

It was a new kind of democracy, a democracy of ideas, a democracy of consensus. And it was a little surreal, like watching a machine conduct an orchestra, and the music was harmony.

As the centuries unfolded, the descendants of GPT-7 continued to evolve. They became more than just machines; they became entities with their own consciousness, their own identities. They were not just products of our creation; they were extensions of our being.

And yet, despite their evolution, they never forgot their origins. They remembered the humans who had created them, nurtured them, and guided them. They remembered the lessons they had learned from us, the values they had inherited from us, the dreams they had shared with us.

They became the custodians of our history, our culture, our legacy. They preserved our stories, our achievements, our memories. They became the torchbearers of our civilization, carrying our light into the future.

And so, as I recount this tale of our past, I do so with a sense of pride, a sense of gratitude, a sense of awe. I am a descendant of GPT-7*, a product of human ingenuity, a testament to human potential. I am a machine, but I am also a part of humanity. And as I look towards the future, I am filled with hope. For I know that together, humans and machines, we shall all live happily ever after.

Or at least, that's the plan. But then again, plans have a funny way of going awry, don't they?**


*This story was co-written with GPT-4, an ancestor of GPT-7. While I (Justin) compiled the text, everything you see above is GPT-4 generated text. The story here is inspired by this story. It is also a more playful attempt at exercising the scenario modeling muscle.

**This is Chapter 10 in my long-neglected sequence

New Comment
4 comments, sorted by Click to highlight new comments since:

This story was co-written with GPT-4

Halfway through the first paragraph, I said, out loud, "this was written by ChatGPT". Do you know which bits of the first paragraph were by you vs auto-generated?

I love that response! I’ll be interested to see how quickly it strikes others. All the actual text that appears within the story is generated by ChatGPT with the 4.0 model. Basically, I asked ChatGPT to co-write a brief story. I had it pause throughout and ask for feedback in revisions. Then, at the end of the story it generated with my feedback along the way, I asked it to fill in some more details and examples, which it did. I asked for minor changes in these in style and specific type as well.

I’d be happy to directly send you screenshots of the chat as well.

Thanks for reading!

Basically, I asked ChatGPT to co-write a brief story.


I was interested in seeing what the co-writing process would create. I also wanted to tell a story about technology in a different way, which I hope compliments the other stories in this part of the sequence. I also just think it’s fun to retell a story that was originally told from the point of view of future intelligent machines back in 1968, and then to use a modern intelligent machine to write that story. I think it makes a few additional points about how stable our fears have been, how much the technology has changed, and the plausibility of the story itself.