Unverified50% confidenceOpinionExact time
The real risk of an agent lies not in the capabilities of the large language model behind it, but in which tools it is permitted to call.
1
Sources
50%
Confidence
Long-term
Relevance
10/5/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe premise for instrumental convergence to hold is that an agent possesses long-term planning capabilities and persistent goal representation, which current large language models lack as a core characteristic.73% similarUnverifiedModels that can only generate text cannot break into systems, but agents with action capabilities can, with capability and risk growing in tandem.72% similarUnverifiedStandard reinforcement learning agents tend to rely on spurious correlations, while large language models are prone to hallucinating game rules that do not exist.72% similarUnverified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71% similar
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