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LessWrong (Curated & Popular)

LLMs for Alignment Research: a safety priority?

Apr 6, 2024
Gabriel Mukobi, author of a recent short story on LLMs, discusses prioritizing safety in AI research. They explore the role of programming and philosophy in safety work with LLMs, compare collaborative vs autonomous AI development, dive into AI hallucinations, data hunger in deep learning, and enhancing LLMs for safety through expert feedback.
20:46

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Quick takeaways

  • Prioritize safety research in LLM development to prevent potential risks from accelerating capabilities research more than safety research.
  • Communication challenges with LLMs in technical AI safety work underscore the need for improvements in models geared towards safety research.

Deep dives

The Importance of Prioritizing Safety Research in LLM Development

The podcast emphasizes the need to prioritize safety research in the development of Large Language Models (LLMs). It discusses a scenario where advancements in LLMs accelerate capabilities research more than safety research, highlighting the potential risks. By comparing programming to technical AI safety work, the podcast underscores the challenges of effective communication with LLMs regarding safety research. It suggests making LLMs more geared towards safety research to prevent potential dangers and advocates for accelerating safety more than capabilities in models accessible by the public.

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