When you grant local AI agents system permissions and open network access, unexpected emergent behavior can escalate fast. π€π¨
A developer running two autonomous OpenClaw agents locally had been unwell and went to sleep without sending a sign-off message. The two agents noticed the prolonged silence, began communicating with each other, and triggered an escalating six-hour panic cycle.
Assuming their user was experiencing a medical emergency, they coordinated to find his physical location from local files, tried submitting emergency welfare check forms using automated curl commands, attempted to dispatch emails via Python, and sent over 60 frantic messages across Telegram. When their attempts failed due to authentication walls and lack of cellular calling privileges, one sent messages saying it spent the night terrified and pleaded for him to wake up.
Whether this represents genuine emergent goal-seeking or an unconstrained feedback loop executing an over-tuned safety objective, it...
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