Ghost in the Machine: AI, Spirituality and a New Humanism
summary
Argues that AI is superb at pattern recognition — using machine learning on retina scans that predict heart attacks and even sex — but lacks framing, counterfactual reasoning and meaning, so it tends to output center-of-distribution answers and trim out extreme novelty. Describes LLMs as token-based embeddings that average relations, warns that LLMs flatten radical ideas, compares calculators democratizing arithmetic to AI risking idea-inequality, and contrasts logos (information) with Mythos and apophatic silence as uniquely human tools.
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chapters (9)
- 0:00AI and God
- 1:34End of the Enlightenment
- 3:38How AI Works and Predicts
- 5:54Limitations of AI Systems
- 8:04The Risks of Automation
- 11:12Human Cognition vs. Machine
- 14:10Consciousness and Language
- 18:13The Importance of Wisdom
- 20:56Embracing Our Humanity
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