ReadMultiplex.com Podcast.

Brian Roemmele

Multiplex is an experiment, an experiment that will be on going. An experiment in publishing as I am not a professional writer nor will it be likely any contributors would be professional writers. Much of the content for Multiplex will be direct results from first hand empirical research that I am personally working on or other researchers are working on. Multiplex will also follow the work of other great researchers that are inventing new technology or new uses for existing technology. The experimental nature of Multiplex means that content can be dense and sparse at times. What we won’t do is write just to fill in space. We will aim to have regular content for the member-only area, This means that if you choose to become a member you are supporting the work of the writers and not an exact number of postings. There will always be free content to be found on the site as well as the X feed.—Brian Roemmele Website: ReadMultiplex.com

  1. ReadMultiplex.com: You Have 5000 Days: Navigating the End of Work as We Know It. Part 26: I Feel Poor!

    8 घं॰ पहले

    ReadMultiplex.com: You Have 5000 Days: Navigating the End of Work as We Know It. Part 26: I Feel Poor!

    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.. Explore the article at: ReadMultiplex.com If you found value in this podcast, buy us a coffee: https://ko-fi.com/brianroemmele

    1 घं॰
  2. ReadMultiplex.com: You Have 5000 Days: Navigating the End of Work as We Know It. Part 25: The Desk Set Prophecy.

    4 दिन पहले

    ReadMultiplex.com: You Have 5000 Days: Navigating the End of Work as We Know It. Part 25: The Desk Set Prophecy.

    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. Read more at: https://ReadMultiplex.com If you found value in this podcast, buy me a coffee: https://ko-fi.com/brianroemmele

    44 मि॰
  3. ReadMultiplex.com: You Have 5000 Days: Navigating the End of Work as We Know It. Part 24: The Doomslayer!

    16 अप्रैल

    ReadMultiplex.com: You Have 5000 Days: Navigating the End of Work as We Know It. Part 24: The Doomslayer!

    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. Read more at: ReadMultiplex.com If you recived any value from this show, buy me a coffee: https://ko-fi.com/brianroemmele

    38 मि॰
  4. ReadMultiplex.com: Scissors, Paper, Rock. A Mystery Film Porduced In The Middle Of The "AI Winter" In 1979.

    12 अप्रैल

    ReadMultiplex.com: Scissors, Paper, Rock. A Mystery Film Porduced In The Middle Of The "AI Winter" In 1979.

    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.. Read more at ReadMultiplex.com If you found any value in this episode, support me, buy me a coffee: https://ko-fi.com/brianroemmele

    12 मि॰
  5. The Exclusive Brian Roemmele Interview On The “You Have 5000 Days: Navigating The End Of Work As We Know It”, The Story So Far.

    11 अप्रैल

    The Exclusive Brian Roemmele Interview On The “You Have 5000 Days: Navigating The End Of Work As We Know It”, The Story So Far.

    “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.)

    16 मि॰
  6. ReadMultiplex.com: The Hidden Refresh Tax in AI GPU Memory: A 60-Year-Old Flaw That Still Haunts Real-Time AI – And How My 1987 Qfresh Is Finally Killing It.

    9 अप्रैल

    ReadMultiplex.com: The Hidden Refresh Tax in AI GPU Memory: A 60-Year-Old Flaw That Still Haunts Real-Time AI – And How My 1987 Qfresh Is Finally Killing It.

    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

    39 मि॰
  7. ReadMultiplex.com: Mythos Rising: Did Antropic Just Achieve AGI? Yes And No.

    8 अप्रैल

    ReadMultiplex.com: Mythos Rising: Did Antropic Just Achieve AGI? Yes And No.

    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

    17 मि॰

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परिचय

Multiplex is an experiment, an experiment that will be on going. An experiment in publishing as I am not a professional writer nor will it be likely any contributors would be professional writers. Much of the content for Multiplex will be direct results from first hand empirical research that I am personally working on or other researchers are working on. Multiplex will also follow the work of other great researchers that are inventing new technology or new uses for existing technology. The experimental nature of Multiplex means that content can be dense and sparse at times. What we won’t do is write just to fill in space. We will aim to have regular content for the member-only area, This means that if you choose to become a member you are supporting the work of the writers and not an exact number of postings. There will always be free content to be found on the site as well as the X feed.—Brian Roemmele Website: ReadMultiplex.com

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