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The Jefferson Journal is JPR's members' magazine featuring articles, columns, and reviews about living in Southern Oregon and Northern California, as well as articles from NPR. The magazine also includes program listings for JPR's network of stations.

Inside the Box: The Singularity Is Not Near—It’s Already Here

In his 2005 book The Singularity is Near, futurist Ray Kurzweil predicted artificial intelligence would surpass human intelligence in 2045, triggering “the singularity”—that cosmic inflection point when machine intelligence becomes so advanced that it fundamentally and irreversibly transforms human civilization.

But what if the singularity isn’t some singular event in the distant future but rather more like a current we’re already swimming in where the water is slowly and imperceptibly heating up all around us? When it comes to an AI-driven singularity, perhaps humanity has become the proverbial frog in the pot that doesn’t realize it’s being boiled alive until it’s too late.

When it comes to an AI-driven singularity, perhaps humanity has become the proverbial frog in the pot that doesn’t realize it’s being boiled alive until it’s too late.

Consider how quickly things have changed in just the past couple of years. Generative-AI became mainstream when OpenAI’s ChatGPT was publicly released in 2022, gaining 100 million users within just two months of initial launch. By 2024, AI systems were writing code, generating art, composing music, and passing the bar exam. Today, they're negotiating contracts, managing investment portfolios, and diagnosing diseases.

The economic tremors are already rumbling beneath our feet. According to a recent Goldman Sachs report, AI is projected to replace 300 million jobs worldwide by 2030, triggering a seismic shift in what work means for humanity. When AI systems can generate a year’s worth of marketing content in an afternoon, or when AI-powered legal research tools can do in minutes what once took a team of paralegals weeks to accomplish, we’re not just observing automation in the traditional sense—we’re witnessing the obsolescence of entire categories of human labor.

Of course, we’ve been here before. Well, sort of anyway.

The Industrial Revolution didn’t just replace jobs; it obliterated entire professions and created entirely new ones that our ancestors couldn’t have even imagined. Lamplighters became electrical engineers. Blacksmiths became auto mechanics. The agricultural revolution, before that, transformed humanity from hunter-gatherers into farmers, fundamentally altering our relationship with the land, with time, and with each other.

The difference with the AI Revolution, however, is speed and scope. The Industrial Revolution spanned generations. Humans had time to adapt. The AI Revolution has been unfolding exponentially in just the past decade. Every day, we’re bombarded with announcements of new and improved AI capabilities and uses. We don’t have time to process how our world is changing, nor whether or not those changes are in our collective best interests.

We’re experiencing what futurist Alvin Toffler termed “future shock” more than 60 years ago: “[the] shattering stress and disorientation that we induce in individuals by subjecting them to too much change in too short a time.”

The pace of technological change is accelerating beyond our biological capacity to adapt. Our institutions, designed for a slower world, are buckling beneath the strain. Our laws struggle to keep pace with technologies that didn’t exist when those laws were written. Our educational systems still prepare students for jobs that likely won’t even exist by the time they graduate.

We’re witnessing the rise of what sociologist Richard Sennett would call “the corrosion of character in the age of algorithmic capitalism.” When your work can be replicated by a machine, what happens to your sense of purpose? Your identity? The Protestant work ethic that has defined Western civilization for centuries is colliding headfirst with a future where work itself might become optional—or worse, unavailable.

The cultural transformation might be the most profound of all. We’re already seeing the emergence of “synthetic culture”—art, music, and writing created entirely by AI. Toffler predicted the rise of “throw-away” culture, but he was talking about disposable products. We’ve now entered an era of disposable creativity. When we can generate infinite variations of any artistic style with a prompt, and it becomes increasingly difficult to discern whether a painting was created by a human or a neural network, whether a symphony was composed by Mozart or by a machine, or whether a novel was written by Stephen King or an AI simulating his writing, we enter a strange philosophical landscape.

Perhaps most unsettling is how AI is reshaping truth itself. In a world where deepfakes are increasingly indistinguishable from reality, where AI can generate convincing academic papers on nonexistent research and large language models can argue any position with equal eloquence and confidence, we’re forced to confront uncomfortable questions about the nature of knowledge, expertise, and authority. When the machines can bullshit as fluently as we humans can, how do we maintain the shared reality necessary for civilization to function?

And yet, while staring down the barrel of all of that, we keep building. We keep innovating. We keep feeding the machine even as we worry it might consume us. We trade our jobs, our certainties, our monopoly on intelligence itself for the promise of curing disease, solving climate change, unlocking the mysteries of the universe.

Technology has always been humanity’s greatest tool and our most dangerous weapon. The same fire that cooks our food burns down our forests. The same atoms that power our cities can also annihilate them. And now, the same intelligence that might solve our greatest challenges could render us obsolete.

The singularity isn’t happening in 2045. It arrived the moment we created intelligence that could improve itself. We’re living through it right now, one algorithm at a time, one disrupted industry at a time, one obsolete skill at a time. And that accompanying future shock Toffler warned us about? It no longer is an approaching storm—it’s become the very air we breathe while whirling about inside the vortex of the singularity.


These are AI-generated images generated by Google Gemini, the other by ChatGPT, both using the following image prompt:

Image created by ChatGPT

A dramatic visual representation of accelerating technological time compression. Create a spiraling vortex or tunnel effect with distinct historical eras compressed together, moving from slow-moving agricultural age at the outer edges (sepia tones, pastoral imagery) through the industrial revolution (steam engines, factories in muted grays), rapidly accelerating through the digital age (computer screens, smartphones in vibrant blues and greens), and culminating at the center with an intense, bright singularity point representing AI (neural networks, algorithmic patterns, binary code spiraling into white light). The visual should convey exponential acceleration—each revolution of the spiral should be compressed tighter and move faster toward the center. Include subtle clock faces or calendar pages dissolving and fragmenting as they move inward, symbolizing the collapse of traditional time. The overall color palette should shift from warm earth tones at the periphery to cool digital blues in the middle zones, finally exploding into brilliant white-hot light at the singularity core. Style: dramatic, philosophical, slightly ominous, photorealistic with abstract elements. Perspective: viewer looking directly into the vortex, creating a sense of being pulled into the acceleration. Mood: urgent, transformative, both awe-inspiring and unsettling.

Image created by Google Gemini

Scott Dewing is a technologist, teacher, and writer. He writes the technology focused column "Inside the Box" for the Jefferson Journal. Scott lives on a low-tech farm in the State of Jefferson. He was born in the same year the Internet was invented and three days before men first landed on the moon. Scott says this doesn't make him special--just old.