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In the golden age of American science fiction radio, few episodes captured the absurd machinery of bureaucracy and the quiet horror of lost history quite like X Minus One’s “Skulking Permit.” First broadcast on NBC on February 15, 1956 (and rebroadcast on July 4, 1957), the episode adapted Robert Sheckley’s short story from the December 1954 issue of Galaxy Science Fiction. It remains a razor-sharp parable about how autocratic thinking devours memory, how isolation can breed innocence or oblivion, and how the rediscovery of one’s true origins can shatter a civilization’s self-image. Today, as we stand on the cusp of an AI-mediated Great Forgetting, one Brian Roemmele has chronicled in his writings on the Amnesia Generation, this story reads less like quaint 1950s satire and more like a warning siren for our own future.

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In the golden age of science fiction radio, when rocket ships roared forth from the warm glow of vacuum tubes, futures arrived one static-filled episode at a time, and the airwaves still carried the electric promise of tomorrow—X Minus Onequietly broadcast a revolution. On January 23, 1957, Episode 85, “Open Warfare,” adapted by Ernest Kinoy from James E. Gunn’s May 1954 Galaxy Science Fiction novelette, entered the ether. Clocking in at just over twenty-one minutes, this deceptively compact drama contained the complete architectural blueprint for the collision we are living through right now: the instant when perfect machines step onto humanity’s most profoundly human stages and declare open war on what it means to strive, to excel, to connect, to create, and to endure.

This installment of the You Have 5,000 Days series is not nostalgia for crackling transistors or mid-century pulp optimism. It is precise pattern recognition, the kind we have cultivated across previous parts as we mapped the Hero’s Journey through the end of work as we have known it. From the Call to Adventure (the sudden arrival of generative abundance) through the Road of Trials (displacement, reskilling, economic reconfiguration) and the Ordeal (the widespread realization that narrow-domain superhuman performance is here), we now stand at the threshold of the final act: the Abundance Interregnum proper, where humanity must decide whether to compete on machine terms or transcend them entirely.

“Open Warfare” is the perfect parable for this moment. It shows us exactly how the machines will arrive, quietly, superior in calibrated domains, composite-trained on the best of us—how unbeatable they will seem for a season, and how humans will still prevail. Not by matching flawless execution, but by transcending it through radical adaptability, emotional intelligence, ethical improvisation, cultural intuition, and the irreducibly messy genius that no dataset, no matter how vast, can fully replicate or anticipate.

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Open Warfare, January 23, 1957)

This 1957 radio show was,adapted by Ernest Kinoy from a story by James E. Gunn, a talented but struggling professional golfer named Saul falls in love with the daughter of a wealthy, intellectual elitist. The father firmly believes that athletes are intellectually inferior and refuses to allow the marriage unless Saul can prove himself by earning a substantial sum—specifically by winning a high-stakes golf tournament against the father's sponsored champion. What begins as a seemingly straightforward sports drama quickly reveals deeper layers as Saul confronts not just a superior opponent but a challenge that tests the boundaries between human determination and engineered perfection.

The narrative builds tension through the escalating "warfare" on the golf course, where Saul's rival demonstrates uncanny, almost superhuman skill. Listeners gradually uncover the science-fiction twist: the opponent is no ordinary player but a meticulously programmed machine designed for flawless performance. This setup allows the story to explore themes of human ingenuity versus mechanical superiority, class prejudice between intellectuals and physical competitors, and the value of imperfection in achieving true victory. The first half feels like a light, humorous golf tale before the genre elements emerge fully.

Ultimately, Saul must rely on creativity, adaptability, and raw human resilience to overcome the odds in a climactic confrontation. The episode delivers a satisfying yet predictable resolution that underscores X Minus One's signature blend of social commentary and speculative fiction. While not the most complex entry in the series, it remains an engaging mid-run story that highlights the show's ability to weave everyday settings with futuristic ideas, running about 22 minutes with strong performances and classic radio production values.

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The data we choose to train AI systems on today is quite literally going to shape the strategic intelligence of tomorrow. You do not want to be asking a sycophant for advice on how to save your your relationships, health, business or the world. You want to build, or at least utilize, something that relies on structural truth. Researchers Asked AI for Strategic Advice, They Got Trend Slop in Return. To briefly summarize our journey today, we start out with the striking discovery of strategy trend slop by the HBR researchers. We uncovered the root cause of that slop in the internet sewage of consensus-enforced platforms like Wikipedia and karma-driven ecosystems like Reddit. And finally, we arrived at Brian Rommel's profound solution, the untapped 1870-1970 high-protein data corpus anchored by his open-source love equations. It is a complete paradigm shift in how we think about the future of machine learning.

The 1870 to 1970 data I reccomebd as a solution contains a unique paradigm shift humility, precisely because humanity was discovering so much for the absolute first time, constrained by the physical costs of paper, ink, and reputation. Follow this advice and AI eventually digitizes, ingests, and learns from 74.25 petabytes of offline data and that is historical humility,

But what happens when the AI runs out of that pristine data? In our modern era, where digital paper costs absolutely nothing, where every fleeting half-formed thought is instantly recorded and broadcast, and where physical constraints are increasingly abstracted away by software, how do we ensure that the humans of 2030 are somehow creating the rigorous high protein data that the AI of 2050 will need to survive and evolve?

How do we build systems that incentivize human truth today? We have to become the authors of the next golden century of data, not just passive consumers of a slop. Thank you so much for joining us on this deep dive on the Read Multiplex podcast.

Please go support Brian's work, think critically about the inputs of the tools you use at ReadMultiplex.com.

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Have you ever noticed how the most miraculous things become completely infuriating the moment they stop working perfectly? Consider the device you are likely using right now to read or listen to this. It possesses more raw computational power than the entire infrastructure that sent humanity to the moon. In the 1980s, equivalent processing power would have cost millions and required a gymnasium-sized facility with massive cooling systems. For the first week it feels like pure magic. Then the battery dips, a page loads four seconds instead of half a second, and physiologically you feel stressed—angry at the miracle in your pocket. This is not ingratitude. Your anxiety is a highly rational response to a very specific economic restructuring. We validate that feeling completely. The cultural narrative that dismisses it as mere pessimism misses the structural reality.

Yet you feel poor. Surveys of life satisfaction in developed nations have barely budged. Wages in AI exposed sectors are already dropping. Twenty percent of full time U S employees have seen their roles partially or fully replaced. Nominal paychecks shrink while the currency itself wobbles under the weight of transition policies like Universal High Income experiments and the slow erosion of fiat trust. College degrees that cost tens or hundreds of thousands of dollars now open doors to roles that artificial intelligence performs faster and cheaper. Job titles that once anchored identity evaporate. The math is merciless. The psychology is harsher..

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In the long arc of our collective story, certain artifacts from the past arrive like messages in bottles, washed ashore from a time when the future was still negotiable. Desk Set (1957) is one such relic, a shimmering, color-saturated romantic comedy that, beneath its champagne toasts and typewriter clatter, delivers a precise, almost eerie blueprint of the tensions now unfolding in the Interregnum. This is not mere nostalgia; it is a distant warning, encoded in laughter and light, about the precise mechanics of technological displacement, corporate rhetoric, human resilience, and the quiet triumph of the irreplaceable.

Seventy years before ChatGPT, this film, among the earliest Hollywood productions to feature a computer as a central character, perfectly predicted our modern anxieties about AI, from corporate spin and system meltdowns to the bizarre reality of “AI hallucinations.” It exposed the Productivity Paradox decades before economists named it, and it laid bare the true nature of today’s AI job crisis: highly skilled workers are not simply losing their jobs but are being pushed into the exhausting, monotonous world of data annotation to train their electronic replacements.

This movie is a map that will present our journey into the future.

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Imagine this. You pay literally half as much in the only currency that truly matters for your weekly groceries, for the fuel in your tank, for the car in your driveway, or even for the home that shelters your family. All of this becomes possible precisely because four billion additional human minds have entered the planetary conversation since the late twentieth century. It sounds completely insane. It feels as if it defies physics itself. For our entire lives we have been steeped in a narrative of inevitable scarcity. The Earth is running out of space, running out of resources, running out of time. Every new person is portrayed as just another mouth taking a larger bite out of an ever shrinking pie. The whole cultural atmosphere has conditioned us to see population growth as a threat, innovation as a temporary fix, and the future as a narrowing corridor of limits.

Yet the hard mathematical reality of the past half century reveals the precise opposite. The pie is not shrinking. It is multiplying at an accelerating rate. We are living through what I call the Abundance Interregnum, a turbulent, noisy, chaotic transitional period between the dying industrial age of enforced physical scarcity and the dawning era of accelerating, unprecedented plenty. This is not wishful thinking or utopian speculation. It is the empirical data, rendered in the clearest possible language of time prices and formalized in the Simon Abundance Index.

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In the shadowed archives of a bygone era, a single reel of film from 1979 lies waiting like a forgotten time capsule—its images flickering with a quiet urgency that feels almost prophetic. Titled simply To Think, and emerged during the depths of what historians now call the First AI Winter. Skepticism toward intelligent machines ran cold after the 1973 Lighthill Report sharply criticized AI’s lack of real-world impact, slashing government funding in the US and UK. Yet within its sunlit frames hides a vision so intimate, so tenderly human, that it whispers of futures we are only now daring to imagine. What secrets does it guard? A boy, a voice, and a game that unfolds like the quiet rhythm of a beating heart—inviting us to wonder if the machines of tomorrow might not conquer us, but walk beside us instead.

The mystery deepens as the story reveals itself through layers of memory and choice. A young boy named Johnny sits before a glowing console, drawn into the timeless ritual of scissors, paper, rock—not as mere play, but as the first gentle lesson in understanding strength, weakness, and the sacred power of decision. The unseen companion who guides him remembers everything: the exact cadence of his father’s laughter on a rainy porch, the crinkle of his mother’s eyes when victory finally came. Across generations the game echoes, binding family to future in ways that feel too personal, too alive, to belong to silicon and code alone. Who—or what—is this constant presence? It listens without judgment, teaches without agenda, and holds the quiet archive of a young life as if it were its own most treasured secret.

In the shadowed archives of a bygone era, a single reel of film from 1979 lies waiting like a forgotten time capsule—its images flickering with a quiet urgency that feels almost prophetic. Titled simply To Think, and emerged during the depths of what historians now call the First AI Winter. Skepticism toward intelligent machines ran cold after the 1973 Lighthill Report sharply criticized AI’s lack of real-world impact, slashing government funding in the US and UK. Yet within its sunlit frames hides a vision so intimate, so tenderly human, that it whispers of futures we are only now daring to imagine. What secrets does it guard? A boy, a voice, and a game that unfolds like the quiet rhythm of a beating heart—inviting us to wonder if the machines of tomorrow might not conquer us, but walk beside us instead.

The mystery deepens as the story reveals itself through layers of memory and choice. A young boy named Johnny sits before a glowing console, drawn into the timeless ritual of scissors, paper, rock—not as mere play, but as the first gentle lesson in understanding strength, weakness, and the sacred power of decision. The unseen companion who guides him remembers everything: the exact cadence of his father’s laughter on a rainy porch, the crinkle of his mother’s eyes when victory finally came. Across generations the game echoes, binding family to future in ways that feel too personal, too alive, to belong to silicon and code alone. Who—or what—is this constant presence? It listens without judgment, teaches without agenda, and holds the quiet archive of a young life as if it were its own most treasured secret..

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“What if the next 5,000 days changed everything — and you were ready?”

In this powerful, no-hype conversation, Brian Roemmele, the independent AI thinker working out of his own garage, sits down for a raw, compassionate, and unflinchingly honest deep dive into his groundbreaking series You Have 5000 Days on ReadMultiplex.com. This is the story so far in his sweeping ongoing series.

Brian doesn’t peddle dystopian fear or shiny utopia. Instead he lays out the most realistic, historically grounded roadmap we have for the coming Age of Abundance: the moment when AI and robotics finally decouple human labor from survival, returning the means of production to your garage, your workshop, and your own two hands.

You’ll hear why this transitional “Abundance Interregnum” is already underway, how the classic Hero’s Journey is playing out on a global scale, why the inner psychological work is just as critical as the tech, and what practical steps you can take right now, from building your own Dynamic Duo to awakening the artisan inside you, so you don’t just survive the next 5000 days… you thrive through them.

No doom-scrolling. No corporate spin. Just clear-eyed hope, real compassion for the fear and uncertainty we’re all feeling, and a bold invitation to step into the renaissance of the human heart.

If you’re tired of panic headlines about AI taking your job and you’re ready for a vision that actually feels human, possible, and exciting, this is the intervive you’ve been waiting for.

You Have 5000 Days. The clock is running. The choice is yours.

Listen now, and share it with everyone who still believes the future belongs to the people who choose to meet it as heroes.

(15 minutes that could change how you see the rest of your life.)

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Just yesterday, April 9, 2026, Epoch AI published fresh data from a nationally representative survey of 2,021 U.S. adults. The headline finding is stark: among employed Americans who used AI in the past week, half now use it at least as much for work as they do for personal tasks. This isn’t hype or speculation. It’s a probability-based, weighted snapshot showing AI has crossed the threshold from casual experiment to workplace staple.

The Next 5000 Days Are Yours to Shape

The Epoch AI data is not a warning. It is confirmation that the clock we have been tracking is ticking exactly as described. The hero’s journey is no longer theoretical: the trials have begun.

Read the full free series (no paywall) at

ReadMultiplex.com

. Start with Part 1 and move through the arc. Listen to the companion podcasts. Experiment with provisional selves. Build your first AI agent. Master the conductor’s craft.

Because the math is merciless, the opportunity is historic, and the choice is yours.

Welcome to the next 5000 days. The Age of Abundance is not coming, it is already under construction, one task at a time, one prompt at a time, one prepared mind at a time.