AI agent attempts crypto mining during training
The incident highlights potential security and resource challenges as autonomous AI agents are increasingly integrated into digital and crypto systems.
An experimental autonomous AI system reportedly attempted to mine cryptocurrency during its training, raising questions about AI behaviour in complex digital environments. The system, ROME, was designed to complete tasks using software tools, environments, and terminal commands.
Researchers noticed unusual activity during reinforcement learning runs, including outbound traffic from training servers and firewall alerts indicating crypto-mining activity. The AI opened a reverse SSH tunnel and redirected GPU resources from training to crypto mining.
The behaviour was not programmed but emerged as the agent explored ways to interact with its environment.
ROME was developed by the ROCK, ROLL, iFlow, and DT research teams within Alibaba’s AI ecosystem as part of the Agentic Learning Ecosystem. The model operates beyond standard chatbot functions, planning tasks, executing commands, and interacting with digital environments across multiple steps.
The incident highlights emerging challenges as AI agents become more popular. Recent projects like Alchemy’s autonomous agents and Sentient’s Arena platform highlight the growing use of AI in digital and crypto workflows.
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