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#431 – Roman Yampolskiy: Dangers of Superintelligent AI
Lex Fridman Podcast
Gradual Integration and Learning from AI Accidents
Gradually integrating and open sourcing AI models sets a precedent for open research and development. AI accidents in history have been proportionate to the system's capabilities and have not caused mass scale destruction. These accidents serve as 'vaccines' for learning and improving safety mechanisms. The context of AI accidents, whether caused by the system itself or increased reliance on automation, influences the perception of damage. Comparisons are drawn with the introduction of cars, emphasizing the importance of learning from small-scale incidents to understand the potential damage of AI systems.
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