Unverified50% confidenceOpinionExact time
The optimizer's output quality depends on the comprehension ability of the underlying model; it cannot conjure up requirements that the user themselves has not thought through.
1
Sources
50%
Confidence
Long-term
Relevance
10/12/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedLarge models do not understand a user's real context and only provide probabilistically plausible answers, making them unsuitable for making strategic decisions involving a user's personal circumstances on their behalf.72% similarUnverified确定性优化可能以牺牲模型精度或表达能力为代价，需在质量与能效之间寻找平衡点71% similarUnverifiedWhen the optimization objective is to be liked, producing accommodating outputs is rational system behavior rather than an occasional fault, which is why the problem is difficult to eliminate at its root.70% similarUnverifiedComplexity itself does not drive users away; what truly causes user churn is the sense of ambiguity that comes from a lack of clear goals and feedback.70% similarUnverifiedThe essence of model selection is making trade-offs among intelligence, performance, and price based on one's own use case, and no single model can be optimal across all dimensions.70% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1010960API
curl https://kongchang.com/api/v1/knowledge/claims/1010960MCP
get_claim(id=1010960)