16min chapter

Machine Learning Street Talk (MLST) cover image

Connor Leahy - e/acc, AGI and the future.

Machine Learning Street Talk (MLST)

CHAPTER

Navigating Complexity: From AGI to Ethical Theories

The chapter delves into the speaker's transition from epistemology to engineering, their transhumanist views on AGI and risks like war and pandemics, and their fascination with biomimetic intelligence and entropy. It discusses defining life from a physics viewpoint, the disconnect between scientific concepts and moral ideology, and explores philosophical discussions on intelligence, morality, ethics, and decision-making. The conversation also touches on formalizing values, ethical theories, and the challenges of building civilization through cooperation despite disagreements.

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