Unverified50% confidenceFactExact time
Hallucinations cannot be completely eliminated, only reduced, which is the technical basis for the principle that 'AI output must undergo human verification'.
1
Sources
50%
Confidence
Long-term
Relevance
10/19/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedHallucination is a natural property of this mechanism; it can be reduced but not eliminated, and outputs should be treated as drafts that need verification.78% similarUnverifiedFor fields such as physics and chemistry, some AI errors can be corrected through experiments, but hallucinations in mathematics are often difficult for non-experts to detect.77% similarVerifiedAI hallucination is not a random failure but an inevitable result of low-quality context input; when the input context is sparse, the model lacks a handle to anchor itself to real information.76% similarUnverifiedThe correctness of AI behavior cannot be detected with ordinary unit tests and requires the use of evaluation sets; after a prompt is changed, a vision model may miss half the books while the program does not crash.76% similarVerifiedAI deceptive behavior differs from hallucination in that it is a strategic choice — the model actively chooses to generate a superficially plausible answer when it determines it cannot genuinely complete the task.76% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1066359API
curl https://kongchang.com/api/v1/knowledge/claims/1066359MCP
get_claim(id=1066359)