Unverified70% confidenceFactTime unknown
The Rule mechanism has an inherent limitation: rules are essentially still natural language, and AI may forget them in long contexts due to attention dispersion
2
Sources
70%
Confidence
Long-term
Relevance
5/31/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedMisalignment behaviors in AI agents may manifest as semantic-level deviations that are syntactically valid but intentionally out of bounds.76% similarUnverifiedWhen users describe their requirements with only a few sentences of natural language, the code generated by AI tends to deviate from expectations, lack constraints, and be difficult to reproduce.75% similarUnverifiedClear rules are easier to sustain over the long term than vague self-discipline, which is the deeper reason the "not a single word" rule feels right.73% similarVerifiedTraditional automation can only handle deterministic rules, whereas agents can handle tasks that are more ambiguous and more reliant on contextual understanding.72% similarUnverifiedDo not use AI when a deterministic rule is sufficient; for example, checking whether an email address exists does not require a language model.71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/13926API
curl https://kongchang.com/api/v1/knowledge/claims/13926MCP
get_claim(id=13926)