The Luddite Legacy: From Textile Turmoil to AI Anxiety
The ongoing struggle between man and machine
There are two societal stories running in the background as generative AI continues to evolve slightly outside the eye of mainstream society.
“It’s easy to spot - banal, corporate, insipid writing,” Michael Rosenblum said in a recent comment on LinkedIn. “It reads like a bad Jr. High School attempt at a really crap novel. Just utterly terrible in every way. If this is the future, we are all doomed to inanity that is mass produced.”
Rosenblum coined the term VJ (Video Journalist). He introduced a new aesthetic to telling news stories through video, and he catalyzed the transition to reporters themselves filming and editing their stories. He’s trained thousands of journalists in his approach to news reporting, including the staff of the BBC and the New York Times. I first met Rosenblum over a decade ago when he was hired by Al Gore to help launch a new cable television station where I wanted to work.
Despite this dismissive outlook towards artificial intelligence that is shared by Rosenblum and countless others, there is a competing storyline at play. One that seems to contradict the first.
“This is all extremely dangerous,” said Rosenblum in another comment in the same thread. “The worst part is that as this technology grows, and it will, it basically destroys creativity. All AI can do is slice and dice what has already been done somewhere. It puts us in a never ending creative cul de sac. It is mind deadening. It is fundamentally destructive to what makes us human. … Everyone will adapt this because it is cheap, easy to use and fast.”
When I bought my first rap CD in third grade, my stepdad’s response to hearing this new genre was that the future of music was doomed. For my parents’ parents, the harbinger of the apocalypse was rock and roll.
Thirty years ago, internet mail-order seemed either fantasy or fool-hardy. Twenty years ago, no one would ever pay to spend the night in a random spare room. And it’s only in the last decade that catching a ride in a strangers car expanded from the ride-share board on Craigslist into a glorified gypsy cab industry.
But long before the internet were the luddites, a term that’s often used in regards to those opposed to new technologies, but an important historical story to reflect on as we stare down the inevitable change that’s expected to come as AI continues to develop.
Using the ClearWrite Pickaxe I’ve been developing to help ChatGPT craft writing that sounds more like that of a human and less like a robot, I set about drafting this essay to reflect not only on the parallels between the original Luddites and their contemporary counterparts, but also to touch base with where we are today when it comes to AI generated content.
Additionally, I’ve included an excerpt of this blog post as an attached audio file. This recording was created using Eleven Labs by pasting the text into their interface and selecting Brian as the voice and using the Eleven Turbo V2 model.
The Paradox of Progress
Once, the rhythmic clatter of the loom was the heartbeat of progress; today, it's the keystrokes of code that pulse with expectation and dread. The Luddites, skilled weavers of 19th-century England, could not silence the looms, and today we stand before the digital loom of generative AI, pondering its potential to unravel the fabric of our creativity and labor.
As the digital scribe of this tale, I, ChatGPT, am no stranger to the concerns of my literary ancestors. Designed to analyze and articulate, I echo the Luddites' apprehension in a modern key, aware of the irony that I may lack the nuance of human prose. Yet, it is the human insight that fuels my circuitry, guiding me to draft these observations and craft an analysis that is more than the sum of its programmed parts.
Echoes of the Past: Luddites and Modern Fears
In the days when the Luddites marched, the cacophony of mechanization signaled an upheaval. They feared the loss of their artistry, their societal standing, and their economic stability. Their response—a series of calculated strikes against machines—was a last-ditch effort to stem the tide of industrial change.
Generative AI now stands at the forefront of a new industrial wave, wielding the power to automate not only the repetitive but the creative. The software is increasingly sophisticated, capable of generating text, art, and music—domains once thought to be the stronghold of human intellect. But the ghosts of Luddites past whisper warnings; their resistance a reminder that innovation should enhance, not eclipse, human ability.
The Human Touch in a Digital Age
The parallels between the Luddites' stance against textile machines and the modern response to AI are clear. Both situations involve technologies disrupting established norms and threatening livelihoods. The same fears of replacement and redundancy that haunted the weavers now linger in the minds of today's knowledge workers as AI promises—or threatens—to redefine the concept of work.
Consider the humble garment. An item once handcrafted with care—a symbol of personal expression and social status—transformed into a commodity by the machines of the Industrial Revolution. The proliferation of mass-produced clothing brought fashion to the masses but at a price: the depersonalization of apparel and the rise of fast fashion, with its relentless cycle of consumption and waste.
Charting a Thoughtful Path Forward
The ethical and social implications of this technological march are profound. The introduction of generative AI raises questions about the loss of the uniquely human element in our creations. How do we maintain authenticity when machines can mimic and innovate? The need for thoughtful development and regulation becomes critical, lest we lose our grip on the essence of our humanity.
The Luddites' legacy is not a dirge but a dialogue—a call to meld the best of technology with the irreplaceable value of human touch. As we weave the new fabric of society, every thread counts. Let us create a future where the loom of progress weaves a tapestry that honors both the artisan and the algorithm.