Richard Ngo on large language models, OpenAI, and striving to make the future go well

Abstract

This work discusses the ethical, societal, and technical challenges posed by the advancement of artificial intelligence (AI), specifically emphasizing large language models like GPT-3 and their implications for future AI developments. A crucial aspect examined is the alignment problem, which concerns the potential misalignment between AI-generated actions and human values, potentially leading to unintended consequences. The discussion highlights various strategies employed by organizations such as OpenAI to mitigate these risks, including reinforcement learning from human feedback, and the development of robust governance frameworks to ensure AI development aligns with human interests. The potential for AI to exceed human cognitive abilities raises urgent questions about control, safety, and the ethical use of AI, suggesting a need for continued interdisciplinary research and policy development to steer AI towards beneficial outcomes. – AI-generated abstract.