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AI Safety Fundamentals: Governance
Nobody’s on the Ball on AGI Alignment
May 13, 2023
The podcast discusses the shortage of researchers working on AI alignment compared to machine learning capabilities researchers. It highlights the limited research in the field of alignment and emphasizes the need for a more rigorous and concerted effort. Approaches to achieving alignment in AGI are explored, along with the challenge of aligning AI systems with human values in superhuman AGI. The significance of involving talented ML researchers in solving the alignment problem is emphasized, stressing the need for focused research on tackling the core difficulties of the technical problem.
17:12
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Quick takeaways
- The number of researchers working on AGI alignment is surprisingly low compared to those working on machine learning capabilities.
- Alignment techniques relying on human supervision will not scale to superhuman AGI systems.
Deep dives
Lack of Focus on AGI Alignment
Despite concerns about AI risk and the perception of a well-funded effort, the number of researchers working on AGI alignment is surprisingly low compared to those working on machine learning capabilities.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode