Expired75% confidenceFactExact time
Large models can only reason about which tool should be called, and actual execution still requires human intervention; whereas AI agents are capable of autonomously completing the full closed loop of tool invocation.
5
Sources
75%
Confidence
Medium-term (~90 days)
Relevance
7/3/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 10/1/2026(expired)
Sources
Agent Loop详解:AI智能体核心运行机制与思考行动循环
bilibili码士集团-马小雪7/2/2026
Related Claims
UnverifiedThe foundation for AI efficiency gains is that humans have already completed parameter location; large language models cannot reliably perform location work automatically without human guidance.84% similarUnverifiedWhen there are too many tools, large models are prone to selection confusion, and reducing tool interference is necessary for the AI to correctly invoke the target tool.81% similarUnverifiedAI large models cannot truly execute tasks on behalf of users (such as placing a food delivery order) and can only provide answers; whereas agents can independently complete an entire set of actions.81% similarUnverifiedPolicy enforcement for AI agents requires proactive interception, completing policy validation at the moment the AI issues a tool call request80% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/62062API
curl https://kongchang.com/api/v1/knowledge/claims/62062MCP
get_claim(id=62062)