How Might Artificial Intelligence Come About?
summary
Maps six general approaches to creating minds — six general pathways — naming logic/knowledge systems, neural nets and learning, emergent network effects, whole-brain emulation, uplift of animals, and raising proto-AIs in the world. Predicts a first robotic empathy crisis within 3–5 years as visually convincing agents demand rights, warns Wall Street firms (Goldman Sachs outspend top 12 universities) drive secret, predatory AI and proposes simple fixes like a Tobin tax 0.01%, DARPA-backed explainable-ML, and regulated diversity with reciprocal accountability.
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chapters (21)
- 0:00Intro
- 0:40Where do we go
- 1:50The biggest AI influencer
- 2:25Threats and dangers
- 4:23Transparency
- 5:06Biometrics
- 6:08Text Technologies
- 7:20Weaponized Lies
- 7:48Augmentation
- 9:35Augmented Reality
- 10:25Steve Mann
- 11:38The First Robotic Empathy Crisis
- 13:43General Approaches to AI
- 14:04Cognitive Evolutionary Neural Networks
- 17:30Reverse Engineer Emulate the Human Brain
- 20:45Hardware vs Software
- 23:39Ethical AI
- 26:57Regulating Competition
- 29:48Will We Make Our Own Diversity
- 30:50Will We Get Helpers
- 31:30Can We Maintain Civilization
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