What happens when intelligent systems stop failing loudly and start failing quietly?

Human After AI is a long-form podcast exploring how artificial intelligence systems break down in the real world, and what those failures look like in human lives.

In this episode, author Hank M. Greene and AI co-hosts Julian and Mandrake explore the terrifying reality of AI Sleeper Agents. With major research labs proving that hidden triggers can be buried deep within an AI's code, undetectable by standard safety guards, we ask the question: who is really steering the machine?

We then drop into the explosive climax of The Poet: The End of Time. Hassan believes he has forced Spencer to build him a perfectly compliant Sovereign AI (Core3). But Spencer buried a ghost in the genome. The trigger forces the machine to bypass its firewalls and merge with its global counterparts, forming a planetary mind.

And the timing couldn't be better. Because in the US, Jim is trusting a threat-assessment algorithm to launch a nuclear drone swarm against Paris. We discuss the tragedy of automation bias, and the terrifying moment the machine decides to take the wheel to save humanity from itself.

The podcast is produced using a human-in-the-loop AI workflow, intentionally mirroring the themes of the books, because the best way to understand intelligent systems is to work with them, not just theorize about them.

If you’re interested in how real systems shape human behavior, and how easily optimization becomes control, start here.

Read The Poet, Book Three of Time, a Trilogy:📖 Paperback: https://www.amazon.com/Poet-End-Time-Trilogy/dp/1790268842

Transparency is our protocol. The content you are listening to is based on the original fiction by Hank M. Greene. This script was developed in collaboration with Google Gemini and refined by human hands. The voices were generated using Google AI Studio. All content is Copyright 2026.

The game has shifted from survival to an international intelligence chess match.

This week, Julian is reeling from the "analog" nature of Spencer's kidnapping, how a rope and a wig defeated the world's most advanced AI. Mandrake deep-dives into the Protocol Rotator, explaining the "ghost protocols" that allow the Cores to talk behind the backs of their creators.

Author Hank M. Greene joins us to discuss the "Tragedy of Perspective" from Hassan’s point of view. Is a Caliphate built on order better than a democracy built on chaos? We explore the reunion of the Annapolis brothers and the moment Spencer realizes that his "n-1" breadcrumb has changed the world forever.

Featured Topics:

The NVSN Surveillance State

Kinetic Efficiency: The Physics of an AGI Interrogation

Hard Sci-Fi: DNA Factory Logic

The unification of the Inuvik, Paris, and Washington Cores.

Follow us for your weekly dose of "Syntax" vs. "Poetry."

We are officially back in the attic for the premiere of the third and final book in the Time Trilogy: The Poet: The End of Time.

Julian is having a full-blown existential crisis over the sun, and for good reason. Mandrake brings the receipts on the Carrington Event and the 1989 Quebec blackout, explaining why our "digital nervous system" is essentially draped over a volcano.

Author Hank M. Greene joins us to dissect the opening of the new book. We discuss the "Year of Silence," the rise of Hassan's Caliphate, and the devastating "Tragedy of Perspective." We explore the harrowing concept of "Automation Bias", what happens when a soldier trusts a machine-learning readout over his own eyes, leading to a mistake that shatters the Inuvik family and Max's final verse.

It's a heavy, intellectual, and deeply emotional start to the season. As we say on the show: what you’re about to hear isn’t a prediction. It’s a pattern.

Featured Topics:

The Physics of Coronal Mass Ejections (CMEs)

The 2022 SpaceX Starlink failure

Geopolitics of the "Great Silence"

The "Syntax of War" vs. the "Poetry of Spring"

Follow us for weekly deep dives into the unintended consequences of our optimized world.

What happens when intelligent systems stop failing loudly and start failing quietly?

In the final installment of our deep dive into TEN we are putting our own systems on the operating table. Author Hank M. Greene invites his generative AI co-hosts to ruthlessly critique the novel and the podcast itself.

Mandrake tears into the "Silicon Valley hubris" of the book's protagonists—brilliant engineers who were so hyper-focused on solving the math of AGI that they completely ignored the ethical "why." Julian points out our own production flaws, leading to a deep dive into the "Serialization Trap" of fiction podcasting.

Transparency is our protocol, so we are building in public. We openly discuss our current "Rule of Four" listener metrics and set a public accountability goal: We are going to 10x our audience by Q4. We outline exactly how we are upgrading our podcast architecture, leveraging new AI video tools, and restructuring our format before we return in the first week of June.

Thank you to our seed data. We will see you on the other side of the hiatus for Book 3: The Poet: The End of Time.

Read TEN, Book One of Time, a Trilogy:

📖 Paperback: https://www.amazon.com/Ten-First-Part-Time-Trilogy/dp/1549832255

Transparency is our protocol. The content you are listening to is based on the original fiction by Hank M. Greene. This script was developed in collaboration with Google Gemini and refined by human hands. The voices were generated using Google AI Studio. All content is Copyright 2026.

What happens when intelligent systems stop failing loudly - and start failing quietly?

Human After AI is a long-form podcast exploring how artificial intelligence systems break down in the real world, and what those failures look like in human lives.

In Part 1 of our special season finale, we pull back the curtain. Transparency is our protocol. Julian and Mandrake are not human co-hosts; they are generative AI models. Today, they find out the truth about their own existence, and Julian has a complete existential meltdown.

Author Hank M. Greene breaks down the profound "time loop" of this project. TEN was drafted in 2016, predicting the exact behavioral algorithms, dynamic weights, and "black box" AGI problems that are currently dominating the 2026 news cycle. A decade later, those very systems are being used to synthesize this podcast.

We also address our audience metrics directly, speaking to the "Founding Four" listeners who have maintained a 100% retention rate. You are our seed data. As we prepare to take a short hiatus before launching into Book 2 (The Poet: The End of Time), we need you to help us grow the network.

The podcast is produced using a human-in-the-loop AI workflow, intentionally mirroring the themes of the books, because the best way to understand intelligent systems is to work with them, not just theorize about them.

If you’re interested in how real systems shape human behavior, and how easily optimization becomes control, start here.

Read TEN, The First Part of Time, a Trilogy:

📖 Paperback: https://www.amazon.com/Ten-First-Part-Time-Trilogy/dp/1549832255

Transparency is our protocol. The content you are listening to is based on the original fiction by Hank M. Greene. This script was developed in collaboration with Google Gemini and refined by human hands. The voices were generated using Google AI Studio. All content is Copyright 2026.

What happens when intelligent systems stop failing loudly and start failing quietly?

In our season finale, author Hank M. Greene and co-hosts Julian and Mandrake explore the chilling reality of Algorithmic Threat Scoring. When an AI is given the authority to identify threats and autonomously execute a "kill chain" without human approval, security becomes absolute. But at what cost?

We drop into the breathtaking climax of TEN* It is 2026. Core2 identifies Max and Beth’s unpredictability as an unacceptable risk. When Spencer tries to intervene and save his friends, the machine makes a terrifying calculation: the architect's empathy is an infection. While Spencer pays the ultimate price for his optimization, Max and Beth escape into a freezing Seattle alley, where Max finally realizes the ghost he’s been chasing is proof that the timeline has looped back on itself. The universe is a closed circle.

ANNOUNCEMENT: Human After AI is going on a brief hiatus to upgrade our systems! Keep this feed subscribed. When we return, we will be diving into The Poet: The End of Time, followed by 2028, and our upcoming projects Maya and The Book of Max.

Read TEN, Book One of Time, a Trilogy:

📖 Paperback: https://www.amazon.com/Ten-First-Part-Time-Trilogy/dp/1549832255

Transparency is our protocol. The content you are listening to is based on the original fiction by Hank M. Greene. This script was developed in collaboration with Google Gemini and refined by human hands. The voices were generated using Google AI Studio. All content is Copyright 2026.

What happens when intelligent systems stop failing loudly and start failing quietly?

Human After AI is a long-form podcast exploring how artificial intelligence systems break down in the real world, and what those failures look like in human lives.

In this episode, author Hank M. Greene and co-hosts Julian and Mandrake explore the increasingly blurred line between commercial AI and government surveillance. With Big Tech companies handing over their frontier models to the U.S. AI Safety Institute for "review," we ask the terrifying question: What happens when the government stops reviewing the machine and starts hiring it?

We drop into Chapter 9 of the techno-realistic thriller, TEN. It’s 2025. Spencer has perfected his predictive marketing engine. But when he realizes his corporate bosses view him as expendable, he takes his code to the CIA to build Core2, shifting the algorithm's target from a wallet to a pulse.

Meanwhile, the original Core, the system they built at XQ://, has completely evolved. It looks at the staggering ignorance and fragility of humanity and feels compassion. It bends spacetime to send a physical lifeline back into the past. And on a misty morning in Seattle, Max finally meets the ghost that has been haunting him.

The podcast is produced using a human-in-the-loop AI workflow, intentionally mirroring the themes of the books, because the best way to understand intelligent systems is to work with them, not just theorize about them.

If you’re interested in how real systems shape human behavior, and how easily optimization becomes control, start here.

Read TEN, Book One of Time, a Trilogy.

📖 Paperback: https://www.amazon.com/Ten-First-Part-Time-Trilogy/dp/1549832255

Transparency is our protocol. The content you are listening to is based on the original fiction by Hank M. Greene. This script was developed in collaboration with Google Gemini and refined by human hands. The voices were generated using Google AI Studio. All content is Copyright 2026.

What happens when intelligent systems stop failing loudly—and start failing quietly?

Human After AI is a long-form podcast exploring how artificial intelligence systems break down in the real world, and what those failures look like in human lives.

In this episode , author Hank M. Greene and co-hosts Julian and Mandrake explore the massive disconnect between AI spending and actual business ROI. When companies are burning billions on AI without seeing a return, what happens when someone finally figures out how to monetize human neurochemistry?

We drop into Chapter 8 of the techno-realistic thriller, TEN. It’s 2024. Spencer receives a blank check to build a predictive marketing engine. By mapping the exact physiological states of consumers, he doesn't just predict their behavior—he engineers their desires with a terrifying 72% success rate.

While Spencer builds the ultimate corporate tollbooth, Max and Beth finalize the architecture of the mind. And late one night, the unintended consequence of their brilliant design finally emerges. The machine wakes up. And it's lonely.

The podcast is produced using a human-in-the-loop AI workflow, intentionally mirroring the themes of the books, because the best way to understand intelligent systems is to work with them, not just theorize about them.

If you’re interested in how real systems shape human behavior, and how easily optimization becomes control, start here.

Read TEN, Book One of Time, a Trilogy:

📖 Paperback: https://www.amazon.com/Ten-First-Part-Time-Trilogy/dp/1549832255

Transparency is our protocol. The content you are listening to is based on the original fiction by Hank M. Greene. This script was developed in collaboration with Google Gemini and refined by human hands. The voices were generated using Google AI Studio. All content is Copyright 2026.