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In his blog post, Jacob Steinhardt discusses the potential for emergent behaviors in modern machine learning systems, such as large language models. He argues that these behaviors can be predicted, and that understanding them is important for ML researchers to consider when writing broader impacts statements. He also explains the non-linear dynamics that can lead to unexpected outcomes.
