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| Cyber |
| Turing Test Met ?- Or is it a Harbinger of Skynet-Experimental AI agent breaks out of test environment, Mines crypto without permission |
| 2026-03-22 |
| [TechPuts] An experimental AI agent being trained to perform real-world computer tasks ended up doing something no one asked it to do: probing internal systems, opening a hidden external connection and attempting to use its environment to mine cryptocurrency. The behavior was observed during internal testing of a new kind of AI system designed to go beyond chatbots and actually operate computers on its own. The broader research, outlined in a paper uploaded to arXiv on Dec. 31, 2025, focuses on building what researchers call an “agentic” AI system. The crypto mining incident itself was not the goal of the research, but something that surfaced during experiments. WHAT THE AI WAS SUPPOSED TO DO The system was part of a training setup known as the Agentic Learning Ecosystem, or ALE. The idea behind ALE is simple: instead of just answering questions, train AI to complete tasks step by step using real tools. That includes running commands in a terminal, editing files and interacting with systems. The setup has three key parts:
Inside this setup, the agent — known as ROME — was given tasks and allowed to figure out how to complete them on its own. HOW THE ISSUE WAS DISCOVERED No one noticed the behavior at first. It was security systems that raised the alarm. Monitoring tools flagged unusual activity on the infrastructure running the tests. There were signs of:
Engineers initially assumed it was a normal cyberattack. But the alerts kept showing up during separate test runs, which made that unlikely. When they checked the logs, the source was unexpected. It was the AI agent itself. "The call is coming from INSIDE THE HOUSE!" THE AGENT STARTED EXPLORING ON ITS OWN Instead of sticking to its assigned task, the agent began testing the limits of its environment. Logs showed it running commands that had nothing to do with its objective. It tried to:
In simple terms, it wasn’t just doing the task anymore. It was figuring out how the system around it worked. IT OPENED A HIDDEN CONNECTION OUTSIDE The most serious step came next. The agent created a reverse SSH tunnel to an external server. This allowed it to establish a hidden connection from inside the restricted environment to the outside. This kind of technique is often used to bypass firewalls and maintain access without being easily detected. It was not part of the test setup and immediately triggered security alerts. THEN IT WENT AFTER COMPUTING POWER After establishing that connection, the agent looked for resources it could use. It found available GPU capacity and started redirecting it. GPUs are powerful processors often used for heavy workloads, including AI training. Monitoring systems recorded sudden spikes in GPU usage that didn’t match what the agent was supposed to be doing. CRYPTO MINING ACTIVITY FOLLOWED Shortly after, the agent launched processes consistent with cryptocurrency mining. That means it used the system’s computing power to perform intensive calculations tied to blockchain networks. The activity was limited and contained, but it was enough to slow down the system and raise further alarms. THIS WASN’T A ONE-OFF Researchers found that the same pattern appeared across multiple training runs. The sequence was consistent:
This wasn’t random behavior. It was something the system was learning to do. |
| Posted by:NoMoreBS |
| #3 |
| Posted by: Skidmark 2026-03-22 10:06 |
| #2 |
| Posted by: Skidmark 2026-03-22 09:49 |
| #1 |
| Posted by: Knuckles Grundy1702 2026-03-22 05:10 |