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 Episode 2, author Hank M. Greene and co-hosts Julian and Mandrake dive into the terrifying frontier of "Proactive AI." We discuss the transition from static LLMs to parallel agents running on dynamic weights. When an ecosystem of AI agents works together to anticipate your behavior, are they helping you, or are they engineering your choices?

We then drop into Chapter 2 of the techno-realistic thriller, TEN. It’s 2018. Our three main characters are scattered across the country, unknowingly laying the groundwork for a superintelligence. Spencer realizes that by closing a digital dopamine loop, he can completely hijack human autonomy. Beth, reeling from a sudden tragedy, resolves to map the "architecture of choice." And Max, overwhelmed by the sheer scale of the cosmos, realizes human math is a dead end. To reverse-engineer the universe, he needs an AI capable of perceiving infinity.

And it all starts on his first day of class, with a mysterious professor who seems to know entirely too much about the future...

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.

📖 Paperback: https://www.amazon.com/stores/author/B0781VQ519?ingress=0&visitId=21b38a2e-1046-411b-98a1-632add5de284