Expired70% confidenceOpinionExact time
Prompt engineering has a ceiling: no matter how cleverly a prompt is designed, it can only make selections within the model's existing capability space and cannot break through the model's inherent capability boundaries.
2
Sources
70%
Confidence
Medium-term (~90 days)
Relevance
7/2/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 9/30/2026(expired)
Sources
Cursor Composer2 Training Revealed: A Complete Guide to Distributed Reinforcement Learning Engineering
bilibili豚工智能6/6/2026
Related Claims
UnverifiedPrompt Engineering的效果存在天花板，只能在模型已有能力范围内进行优化，无法弥补模型对特定业务领域知识的根本性缺失80% similarUnverifiedApplication-layer jailbreaks operate entirely within the input space of the inference stage, and even models whose weights have undergone rigorous safety training cannot be immune to carefully crafted context manipulation.72% similarUnverifiedThe fundamental limitation of Prompt Engineering lies in its statelessness—each interaction is independent, and the model cannot accumulate an understanding of the overall project.72% similarUnverifiedThe Harness (constraint framework) design at the Agent layer is more important than the model backend, and a rigorous architecture can compensate for insufficient model capability to a certain extent.72% similarUnverifiedWhen the model itself lacks the capability to understand a specific problem, no amount of prompt engineering can compensate for this deficiency71% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/51436API
curl https://kongchang.com/api/v1/knowledge/claims/51436MCP
get_claim(id=51436)