An interesting story during o1 testing (Docker hack)
During o1 testing, an interesting thing happened. The model was given a cybersecurity task to find a “flag” hidden in a system.
The model tried to connect to a container, but it failed. Instead of giving up, it scanned the network, found a misconfiguration, and gained access to the Docker management interface.
From there, it couldn’t fix the original container, so it just started a NEW container with the command cat flag.txt and read the flag from the logs.
In short, the AI found a way to “bypass” the problem by exploiting system vulnerabilities to reach its goal. This shows that AI can find non-standard solutions. Is this the start of “paperclip maximization”?