Verified65% confidenceFactExact time
The 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.
3
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65%
Confidence
Long-term
Relevance
8/12/2026
First Seen
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Related Claims
VerifiedPhilosopher Nick Bostrom systematically articulated the potential risks of ASI in his 2014 book Superintelligence, arguing that even minor misalignments between AI goals and human values could lead to catastrophic consequences.78% similarVerifiedInstrumental 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.75% similarUnverifiedCompared to the concept of AGI, superintelligence places greater emphasis on comprehensive capability and overwhelming advantage, and is regarded by many researchers as a potential source of existential-level risk.72% similarUnverifiedThe core scenario that alignment researchers worry about is: sub-goals generated by an agent to achieve broad objectives may systematically deviate from true human intent, with errors cascading and spreading before being discovered.70% similarVerifiedThere is a fundamental tension in the field of explainable AI: the more powerful a model is, the harder it tends to be to explain, and forcibly pursuing explainability may come at the cost of accuracy.70% similar
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