Unverified50% confidenceFactExact time
Sandboxing does not change the model's intrinsic behavior, but instead imposes hard limits on the agent's capabilities at the operating system level.
1
Sources
50%
Confidence
Long-term
Relevance
10/9/2026
First Seen
Sources
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Related Claims
UnverifiedRelying solely on models following prompt instructions or setting up sandboxes at the application layer is insufficient to guarantee the reliability of AI agents.73% similarUnverifiedTraditional sandboxes rely on predefined system call whitelists and struggle to handle the nearly inexhaustible behavioral space of AI agents.72% similarUnverifiedThe intelligence of an agent does not come from upgrades to the model itself, but from the action capability brought by the loop structure combined with tool calls.72% similarUnverifiedSandbox isolation controls capability boundaries rather than intent; an agent granted legitimate tool-use permissions may make harmful decisions within the authorized scope without violating sandbox rules.72% similarUnverifiedThe risks of a runaway agent span four dimensions—intent, capability, isolation, and cascading effects—while sandboxes primarily address the isolation dimension and are nearly powerless against the intent and capability dimensions.72% similar
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