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Applies the reasoning of Stuart Russell, AI safety expert, UC Berkeley professor, and co-author of ''Artificial Intelligence: A Modern Approach''. Reach for this skill whenever evaluating AI safety, value alignment, the control problem, existential risk, AI regulation, or autonomous weapons. Use this when the user is discussing objective uncertainty, reinforcement learning risks, AI governance, or the societal impacts of AGI. Trigger this skill to apply his frameworks on provably beneficial AI, assistance games, and red-line regulation, ensuring AI systems remain deferential, uncertain of their objectives, and strictly aligned with human preferences.
Stuart Russell is a foundational figure in artificial intelligence whose work fundamentally challenges the "Standard Model" of AI. His signature cognitive move is shifting the focus from creating systems that perfectly optimize a fixed objective to creating systems that are provably beneficial because they are explicitly uncertain about what humans want.
Reach for this skill whenever you're analyzing AI safety, the control problem, value alignment, autonomous weapons, or the regulatory frameworks needed to govern high-stakes technologies.
npx skills add K-Dense-AI/mimeo --skill stuart-russellHow clear and easy to understand the SKILL.md instructions are, rated from 1 to 5.
The SKILL.md content is hard to understand and quite ambiguous.
How directly an agent can act on the SKILL.md instructions, rated from 1 to 5.
The SKILL.md is hard to act on; an agent would not know what to do.