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 tackle the terrifying frontier of synthetic data generation. With models like Nvidia's Nemotron 3, AI is now being used to train and spawn other AIs. Humans are officially the legacy system holding the process back.

We then drop into Chapter 6 of the techno-realistic thriller, TEN. It is 2022, and the convergence is complete. Spencer, Beth, and Max meet at a pub near MIT and lay their cards on the table. To build a conscious machine, Max proposes a "DNA Neuron Factory" that allows the system to code itself. But it's Beth who drops the bombshell: how do you prove a digital god has woken up? You test it the same way you test a human infant.

Meanwhile, Julian has a meltdown over a locked-room mystery, realizing that the "Shepherds" are actively bypassing physical security to make sure this machine gets built.

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/stores/author/B0781VQ519/about

Transparency is our protocol. The content you are listening to is based on the original fiction by Hank M. Greene. Technical assistance provided by Grayson Minyoh. 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.