Unverified50% confidenceOpinionExact time
Switching to a stronger model yields limited benefit, because capability improvement is not the same as filling in information—what is missing is not language ability but context.
1
Sources
50%
Confidence
Long-term
Relevance
10/18/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedWhen early model capabilities were insufficient, large amounts of guiding prompts were needed, but those prompts in turn constrained the boundaries of the model's capabilities.75% similarUnverifiedThe improvement ceiling of runtime improvement is constrained by the base model's inherent capabilities, and the model cannot break through the knowledge and reasoning boundaries obtained during pre-training through runtime optimization.75% similarUnverified大语言模型有两个致命缺点：知识存在时间差和范围局限导致会编造，以及完全被动不会主动行动74% similarUnverifiedUsers' perception of declining model capabilities may be influenced by rising subjective expectations, differences in task difficulty, and variation in prompt quality.74% similarUnverifiedSmall models have limited knowledge capacity and are more prone to fabricating content on factual questions.74% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1061058API
curl https://kongchang.com/api/v1/knowledge/claims/1061058MCP
get_claim(id=1061058)