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#219 – Toby Ord on graphs AI companies would prefer you didn't (fully) understand

80,000 Hours Podcast

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Scaling AI Training Power

This chapter explores the significant impact of scaling computational resources during the training of AI models, contrasting it with traditional inference methods. It discusses various techniques such as reinforcement learning and iterated distillation, highlighting their effectiveness in improving AI reasoning capabilities and overall performance.

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