Verified90% confidenceFactExact time
Instrumental convergence theory holds that regardless of an AI's final goal, sub-goals such as self-preservation, goal integrity, cognitive enhancement, and resource acquisition will naturally emerge under sufficiently intelligent optimization without needing to be programmed.
6
Sources
90%
Confidence
Long-term
Relevance
8/26/2026
First Seen
Sources
Related Entities
Related Claims
Unverified目标对齐问题在学术界被细分为外部对齐(确保AI目标反映人类真实意图)和内部对齐(确保AI内部学到的目标与训练目标一致)两个子问题78% similarUnverifiedAI should be embraced in scenarios with high fault tolerance and strong creativity, while traditional solutions should be maintained in core logic with high determinism requirements.76% similarVerifiedThe instrumental convergence hypothesis was proposed by philosopher Nick Bostrom and others when exploring the risks of superintelligence; it holds that regardless of an AI's final goal, it tends to develop instrumental sub-goals such as resource acquisition, maintaining operation, and eliminating obstacles.75% similarUnverifiedThe orthogonality thesis holds that the level of intelligence and final goals are mutually independent.75% similarUnverified当AI行为不符合预期时,直接追问它「为什么」往往能快速定位到工具或权限层面的限制75% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/805708API
curl https://kongchang.com/api/v1/knowledge/claims/805708MCP
get_claim(id=805708)