Biological Anchors: A Trick That Might Or Might Not Work
Scott Alexander reviews competing methodologies for predicting AI timelines, focusing on Ajeya Cotra's biological anchors approach and Eliezer Yudkowsky's critique.
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Scott Alexander reviews competing methodologies for predicting AI timelines, focusing on Ajeya Cotra's biological anchors approach and Eliezer Yudkowsky's critique.
Scott Alexander examines GPT-3's capabilities, improvements over GPT-2, and potential implications for AI development through scaling.
Scott Alexander examines AI-generated poetry produced by Gwern's GPT-2 model trained on classical poetry, highlighting its strengths and limitations.
Scott Alexander draws parallels between OpenAI's GPT-2 language model and human dreaming, exploring their similarities in process and output quality.
Scott shares and comments on various interesting links spanning history, science, economics, and current events, with topics ranging from ancient Greek snake warfare to modern AI development.
Scott Alexander argues that OpenAI's open-source strategy for AI development could be dangerous, potentially risking human extinction if AI progresses rapidly.