Unverified50% confidenceSolutionExact time
When working with more capable models, prompting should shift from "imperative" (step-by-step instructions) to "intentional" (expressing goals, constraints, and evaluation criteria)
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/28/2026
First Seen
Valid until: 12/27/2026
Sources
Related Entities
Related Claims
Unverified在纯Agent场景下,模型的指令遵循能力往往比参数量更重要78% similarUnverifiedThe more pragmatic approach at this stage is to use the model as an augmentation layer that identifies suboptimal decisions on top of the traditional optimizer's plans and provides improvement suggestions, rather than fully replacing the mature optimizer.77% similarUnverifiedWhen the control layer is harder to maintain than model reasoning, that is itself a signal that decision-making authority should be handed to the model.77% similarUnverifiedThe correct approach to deploying large models is to first clarify the target precision and target context length, then work backwards to determine the required memory, rather than simply looking at parameter count.77% similarUnverifiedPrompt engineering is evolving from general techniques toward model-specific optimization76% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/955888API
curl https://kongchang.com/api/v1/knowledge/claims/955888MCP
get_claim(id=955888)