Unverified50% confidenceOpinionExact time
In the context of human-machine conversations, proving the subjective element of threatening speech faces additional difficulties, because the conversation partner is a program incapable of experiencing fear.
1
Sources
50%
Confidence
Long-term
Relevance
10/5/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedRelying on prompt constraints to prevent dangerous operations is inherently unreliable, because the model may be jailbroken, make misjudgments, or forget constraints during long conversations.73% similarUnverifiedState and conversation should be separated; constraints require a persistent, lossless, and verifiable medium, whereas conversation is inherently transient and lossy.71% similarUnverifiedDue to models' prompt sensitivity and hallucination phenomena, any single screenshot or conversation record is extremely difficult to use as reliable evidence of AI capabilities or risks.71% similarUnverifiedThe structural weakness of current alignment mechanisms is that defenses are built at the lexical level rather than the semantic intent level, allowing malicious users who know the right phrasing to pass through unimpeded while ordinary users or professionals are frequently blocked by mistake.71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/977190API
curl https://kongchang.com/api/v1/knowledge/claims/977190MCP
get_claim(id=977190)