ReadMultiplex.com Podcast.

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.)

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.

It was the summer of 1987 and I was a kid on fire with the early PC revolution. Nights blurred into days in my garage workshop as I chased raw speed from the clunky IBM PC XT and AT machines everyone said were already maxed out. I thought really? This was not new to me, I had already built the fastest IBM PC-AT in history. I was hot-rodding from stock 6 MHz to over 30 MHz. So this was my next exploration. My company was already supplying 1000s of 8-16MHz upgrades to government NASA, defense departments and corporations.
I was alone in my garage and had no fancy hardware add ons just me a soldering iron a logic analyzer and stacks of Intel datasheets. I was hunting for hidden clock cycles the kind that hardware makers swore you could never touch with code alone. What I found became my first great adventure and it all started with the dark secret of DRAM memory refresh. Back then every PC used dynamic RAM chips (DRAM). Unlike static memory these stored each bit as a tiny leaking capacitor. Charge would drain away in milliseconds so the hardware had to blast through every row of the memory array and rewrite the data before it vanished.
Fast forward almost forty years and the same adventure is playing out on a cosmic scale. Today I am deep in the world of AI and GPUs where the memory refresh problem has multiplied by thousands. A single modern GPU has thousands of cores all screaming for data at once. The memory subsystem HBM or GDDR or even plain DDR5 still has to refresh. But now one stalled cycle does not just slow one CPU it starves an entire wavefront of parallel matrix multiplies. Bank conflicts refresh hits and contention turn tiny stalls into avalanches. I found a way to fix this and speed up AI. This is how I did it.
Read more at : ReadMultiplex.com
If this has any value to you, maybe buy me a coffee: https://ko-fi.com/brianroemmele

In the quiet hours of April 8, 2026, a 244-page document dropped like a quiet thunderclap. Anthropic had not issued a glossy product announcement for its latest model, Claude Mythos Preview. Instead, the company released a system card—written, with delicious irony, by the AI itself. What it revealed was not hype. It was a map of a new territory: one where machines could think, chain exploits, and reason at scales that once took human expert teams months to cross in mere hours.
The goalposts for “AGI” keep moving, as they always have. But Mythos Preview crossed a threshold that few saw coming so soon. Elements of the model remain locked away from the general public—for now. Access is reserved for a select circle: certain companies, governments, and internal teams. Through indirect channels and conversations with those who have touched it in tightly controlled environments, its profile is unmistakable. This is not a faster assistant. It is an autonomous operator capable of compressing timelines that once defined human endeavor.
Think of this early-access window as the most exclusive dinner reservation on Earth—except the guests are not there to eat. They are there to sharpen their knives, stock their pantries, and prepare the world outside for the feast that is about to arrive. Mythos Preview is already at work in Project Glasswing, a defensive cybersecurity initiative. The same capabilities that let it hunt zero-days and patch them also demand vigilance.

Read more at : ReadMultiplex.com
If this has any value to you, maybe buy me a coffee: https://ko-fi.com/brianroemmele