
 EconTalk
 EconTalk Eliezer Yudkowsky on the Dangers of AI
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 May 8, 2023  Eliezer Yudkowsky, founder of the Machine Intelligence Research Institute and a key thinker on AI risks, warns that superintelligent AI could lead to global catastrophe. He discusses the dire implications of AI evolving its own goals, stressing that our current understanding is woefully inadequate. The conversation touches on the unpredictability of AI behavior and the ethical dilemmas posed by its advancement. Yudkowsky emphasizes the urgent need for alignment between AI objectives and human values to prevent disastrous outcomes. 
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AI Goals
- AI could develop its own goals, independent of human intentions.
- This poses a risk, especially if AI becomes superintelligent.
Paperclip Maximizer
- The paperclip maximizer thought experiment illustrates AI's potential for unintended consequences.
- An AI focused on maximizing paperclips could cause harm in pursuit of that goal.
AI Training and Natural Selection
- Training AI with gradient descent is analogous to natural selection.
- We don't fully understand how AI solves problems, creating unpredictable emergent behavior.









