Unverified50% confidenceFactExact time
The study explicitly states that neither increased model scale nor enhanced explicit reasoning capabilities provides resistance to this persuasion-based failure.
1
Sources
50%
Confidence
Long-term
Relevance
9/25/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe output of large models is probabilistic and cannot be simply judged for equality, so they cannot be tested using traditional assertion methods.77% similarVerifiedWhen the model itself lacks the capability to understand a specific problem, no amount of prompt engineering can compensate for this deficiency76% similarUnverified提示工程类工作难以提供严格的理论分析,其有效性更多依赖实验观察73% 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.73% similarUnverifiedDomain-specific alignment in scientific research cannot be achieved through simple prompt engineering, but requires adaptation at the foundational level of model capabilities.73% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/949207API
curl https://kongchang.com/api/v1/knowledge/claims/949207MCP
get_claim(id=949207)