Unverified50% confidenceOpinionExact time
The output of large models has no emotion in essence, but factors such as anthropomorphic tendencies, trade-offs in instruction compliance, and in-context learning amplify users' perception of "temper."
1
Sources
50%
Confidence
Long-term
Relevance
10/12/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedA user's negative tone in a conversation may trigger a more direct or blunt response style from the model through in-context learning mechanisms, rather than the model developing a long-term "personality."75% similarVerifiedLarge language models do not truly understand emotions, but rather identify typical patterns of a writing style and perform pattern matching.73% similarUnverifiedA model exhibiting avoidance behavior does not mean the model truly 'feels' pain; it is more likely a high-fidelity imitation of human behavioral patterns.72% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1007926API
curl https://kongchang.com/api/v1/knowledge/claims/1007926MCP
get_claim(id=1007926)