Challenges in AI Safety and Data Curation Practices

The chapter explores the limitations of current approaches in ensuring AI safety, emphasizing the need for traditional data curation practices before model training. It discusses the rapid jailbreaking of AI model GPT-40 and suggests a shift towards addressing input data quality to prevent biases and undesirable behavior in models.