Unverified50% confidenceOpinionExact time
Current agent frameworks generally lack native support for side-effect awareness.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/27/2026
First Seen
Valid until: 12/26/2026
Sources
Related Entities
Related Claims
Unverified新手智能体做不出效果的症结往往不是工具不行，而是没有吃透节点逻辑68% similarUnverifiedGeneral-purpose models lacking domain depth tend to give safe, broad responses and struggle to spark insights in professional contexts.66% similarUnverifiedOptimizing for benchmarks carries risks, as high scores may only reflect a model's adaptation to specific question types rather than a genuine improvement in general capabilities.66% similarUnverifiedRelying solely on model-side safety training is considered insufficient to address the risks posed by agents in real-world environments66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/953235API
curl https://kongchang.com/api/v1/knowledge/claims/953235MCP
get_claim(id=953235)