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#107 – Chris Olah on what the hell is going on inside neural networks

80,000 Hours Podcast

CHAPTER

Interpreting Neural Networks: Challenges and Perspectives

This chapter explores the scaling issues in neural networks, emphasizing the need for a larger human workforce to tackle these challenges. It discusses varying interpretations of 'interpretability' in the machine learning community, drawing parallels with established fields like neuroscience. Additionally, the chapter delves into ethical considerations of neural networks potentially experiencing suffering, advocating for deeper philosophical discussions on these implications.

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