We move past the doom-and-gloom headlines to explore the "Time Collapse"—why things we expected in years are happening in days. If AI can out-code a human, what happens to the architects of the future? Join us as we deconstruct the new "Practitioner Economy" and explain why your human judgment is now the most valuable resource on the planet.

The digital landscape is currently experiencing a "Time Collapse." In this episode, we break into a live discussion already in progress to tackle a unsettling reality: the gap between AI capability and human processing is widening. With the release of Google DeepMind’s PhD-level reasoning models, the "bottleneck" has officially shifted from the machine to the human.

We explore the transition from "edutainment" to "Applied Polymathy," where knowing how to code is becoming less important than knowing what to build. We dive deep into the Google DeepMind research paper, exploring how reinforced structures and dynamic context are turning LLMs into digital native citizens with superhuman capabilities.

What we cover in this session:

• The Demigod Analogy: Why AI feels like a Greek myth come to life—extraordinary power paired with unique vulnerabilities.
• The Abstraction Trap: How software layers are being replaced by "Future Projections" that the human brain isn't yet wired to handle.
• Identity & Work: If AI can do your job better, faster, and cheaper, where do you find your purpose? We discuss the shift from "Knowledge Work" back to "Human Expression."
• The Engineering Myth: Why the death of "coding" isn't the death of "engineering," and how to leverage AI to solve the messy, complex problems of the physical world.

This isn't just another conversation about curiosity; it’s a blueprint for the "Secret Masters" of the innovation economy. Stop consuming the hype and start understanding the mechanism. We are no longer at the precipice of the moment—we are in it.

Time Stamps:

(00:00) Going live mid discussion >_<

(00:20) Recording an offline debate on AI.

(01:31) Google DeepMind’s Deep Think model updates.

(04:24) AI as an abstraction on software.

(07:21) The Greek demigod analogy for AI.

(10:50) Unlocking context and memory in models.

(14:41) How human systems adopt technology slowly.

(16:23) Reconciling work identity with AI automation.

(18:30) Why coding is only part of engineering.

(24:19) Global perspectives on AI sentiment shifts.

(30:29) The transition from physical to knowledge work.

(38:38) Replacing coding versus replacing total engineering.

(41:19) AI as a massive opportunity for doers.

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Listen: https://podcasts.apple.com/us/podcast/3reate/id1723426314 https://open.spotify.com/show/48Y2M7Ppja43Uq2wlyUtPF https://youtu.be/2wEMD8EvB9I?si=G3iUBE-z4Mx0Ng-Y

Watch on YouTube: https://www.youtube.com/live/ETpFUsj1GkE?si=9XIpElR9Jg1qGR_q