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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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

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Ideas, People, and Works Mentioned in this Episode:

• Jeff Hinton

• Jordan Peterson

• Keith Stanovich

• Michael Levin

• Stroop Effect

• Bertrand Russell

• Plato (Republic, Symposium)

• Predictive Processing

• Relevance Realization

• Spearman (1926)

• DeepMind (DeepSeek)

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https://twitter.com/vervaeke_john
https://www.youtube.com/@johnvervaeke
https://www.patreon.com/johnvervaeke

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Thank you for watching!