Simulated Thought and General Intelligence
Eliezer and Russ discuss the concept of simulated thought and its implications for general intelligence. They explore how current AI systems respond to queries and the potential for these systems to go beyond their training to generate novel outputs. The conversation highlights the parallel between human brain and AI neural networks in terms of hill climbing optimization and the emergence of capabilities that generalize far beyond the training distribution.In this clip
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