What AI Can Never Be | John Vervaeke
Can artificial intelligence truly become wise? In this landmark lecture, John Vervaeke explores the future of AI through a lens few dare to examine: the limits of intelligence itself. He unpacks the critical differences between intelligence, rationality, reasonableness, and wisdom—terms often used interchangeably in discussions around AGI. Drawing from decades of research in cognitive science and philosophy, John argues that while large language models like ChatGPT demonstrate forms of generalized intelligence, they fundamentally lack core elements of human cognition: embodiment, caring, and participatory knowing.
By distinguishing between propositional, procedural, perspectival, and participatory knowing, he reveals why the current paradigm of AI is not equipped to generate consciousness, agency, or true understanding. This lecture also serves as a moral call to action: if we want wise machines, we must first become wiser ourselves.
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$21 Trillion Black Budget is Funding a Rogue Breakaway Civilization | Catherine Fitts
Catherine Austin Fitts is an investment banker and former Bush administration official known for her incisive critiques of government finance and advocacy for transparent economic systems. She later established Solari, Inc., and publishes The Solari Report, offering insights into global finance and governance.

Understanding Gnosticism with Miguel Conner
Miguel Conner is host of the Aeon Byte Gnostic Radio podcast. He has authored two books of interviews about gnosticism, Voices of Gnosticism and Other Voices of Gnosticism, and also four novels. His newest book is The Occult Elvis: The Mystical and Magical Life of the King.
His website is https://www.miguelconner.com
Here he explains the origins of Gnosticism in late antiquity. He describes how it impacted both the Christian, Greek, and Persian worlds. He discusses the influence of Gnosticism upon a range of modern thinkers and writers. And, he distinguishes Gnosticism from other similar movements including Neo-Platonism and Hermeticism.

Hopf Fibration Explained
Original Video Description
Hopf fiber bundle topology is taught as simply as possible. Physicist Roger Penrose called the Hopf fibration, "An element of the architecture of our world." Essential in at least 8 different physics applications, the Hopf fibration is a map from a hypersphere in 4D onto a sphere in 3D. Many visualizations are displayed herein. Mathematician Eric Weinstein commented on the structure on Joe Rogan's podcast as, "The most important object in the entire universe."
If you're not yet familiar with higher dimensional shapes, you may want to first watch my video explaining a 4D hypercube known as the tesseract:
https://www.youtube.com/watch?v=YGmQe85cBeI
The initial outline for this video was over 25 minutes, so I trimmed details of n-spheres for the sake of brevity. Including here for those interested:
S0 0-sphere | Pair of points | Bounded by lines
S1 1-sphere | Circle | Bounded by pairs of points (S0)
S2 2-sphere | Sphere | Bounded by circles (S1)
S3 3-sphere | Hypersphere | Bounded by spheres (S2)
So the pair of points at the ends of a 1D line segment is considered a 0-sphere, or S0. It's hard to visualize, but a straight line is an arc of a circle whose radius is infinite.
Now, a circle is bounded by those pairs of points. We say a circle is S1, or a 1-sphere, sitting in 2D space.
A sphere is bounded by circles. We say a sphere is S2, or a 2-sphere, sitting in 3D space.
You are probably noticing an important pattern here. Each of these structures are one dimension lower than the Euclidian space they are embedded within. This is because we are only concerned with the boundaries of each shape.
So for a circle, we look at just the 1-dimensional circumference. Thus, S1. For a sphere, the surface is actually 2-dimensional. Thus, S2.
Now, we are navigating beyond the limits of human perception. A hypersphere is bounded by spheres. We say a hypersphere is S3, or a 3-sphere, sitting in 4D space. This is technically impossible to visualize.
At 2:58, I've included two visualizations of a hypersphere. The first is the shadow of a wire-frame surface of a hypersphere, projected in 3D. A perfect model would be an opaque object, so this cage gives you a sense of the hypersphere composed of spheres. The second is a highly polished version with a few vertices in view. Neither version is perfect, but they are the next best things compared to Hopf maps:
https://commons.wikimedia.org/wiki/File:Hypersphere.gif
Seemann (2017) https://vimeo.com/210631891
🚩 Nerd Alert 🚩 The interactive Hopf map visualizer by Nico Belmonte (@philogb) http://philogb.github.io/page/hopf/#

00:00 Introduction: AI, AGI, and the Nature of Intelligence
02:00 What is General Intelligence?
04:30 LLMs and the Illusion of Generalization
07:00 The Meta-Problems of Intelligence: Anticipation & Relevance Realization
09:00 Relevance Realization: The Hidden Engine of Intelligence
11:30 How We Filter Reality Through Relevance
14:00 The Limits of LLMs: Predicting Text vs. Anticipating Reality
17:00 Four Kinds of Knowing: Propositional, Procedural, Perspectival, Participatory
23:00 Embodiment, Consciousness, and Narrative Identity
27:00 The Role of Attention, Care, and Autopoiesis
31:00 Culture as Niche Construction
34:00 Why AI Can't Participate in Meaning
37:00 The Missing Dimensions in LLMs
40:00 Rationality vs. Reasonableness
43:00 Self-Deception, Bias, and the Need for Self-Correction
46:00 Caring About How You Care: The Core of Rationality
48:00 Wisdom: Aligning Multiple Selves and Temporal Scales
53:00 The Social Obligation to Cultivate Wisdom
55:00 Alter: Cultivating Wisdom in an AI Future