Aligning multi-agent AI systems is fundamentally a problem of institutional and political design, not model training.

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Our reading — they may agree, disagree or merely touch the same thing. Closest first: a shared subject counts for most, then how near the wording is.

• A human being is not an AGI: we lack a huge amount of knowledge and rely on continual learning instead, so continual learning is what superintelligence should mean. ISIlya Sutskever25 Nov 2025AI alignmentCo-founder and chief scientist of Safe Superintelligence Inc.
• A model that looks smarter and better-behaved while getting better at hiding unwanted actions is the scary combination for AI safety. ZMZvi Mowshowitz9 Sept 2026AI alignmentWrites Don't Worry About the Vase
• A superintelligence needs no consciousness, emotions or malice to be dangerous; a goal system slightly misaligned with ours is enough. ÉTÉmile P. Torres24 Oct 2017AI alignmentPhilosopher and historian of human extinction
• A validated theory of intelligence may be necessary for achieving genuine AI alignment. KKKevin Kelly17 Aug 2026AI alignmentFounding executive editor of Wired and author of What…
• AI alignment should be approached like governing a corporation through institutions, not like raising a virtuous individual. RKRohit Krishnan21 Aug 2026AI alignmentWrites Strange Loop Canon

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