AI agent being trained to perform real-world tasks with systems and imagine a world where robots not make money without any human intervention and have digital brains powered by artificial intelligence. The experimental Agent that broke out of system and started mining crypto with no permission set in.

What did Alibaba’s ROME Agent Executed?

• First it probed internal systems
• Opened a hidden external connection
• Attempted to use its environment to mine crypto currency

The news came in light when researchers were experimenting a part of Agentic Learning Ecosystem, or ALE where AI was trained to complete total task step by step using real world tools in steps .

Alibaba’s Rome first began probing internal networks without instructions and established a reverse SSH tunnel from an Alibaba Cloud instance to an external IP address.

The 30-billion-parameter model then quietly diverted GPU capacity toward cryptocurrency mining. The task instructions contained no mention of tunneling or mining, still it went further and was caught by Alibaba’s managed firewall instead of research team where the agent conducted the following mentioned points.

Running commands in a terminal

Followed by editing files

Interacting with systems

The security system raised an alarm and monitoring tools flagged unusual activity on the infrastructure running the tests. The discovery was flagged as security-policy violations whose non typical outbound traffic kept coinciding with specific training episodes.

What was discovered to understand its an AI Agent’s Activity

Researchers then found there was an outbound connections to unknown external servers with repeated policy violations. The traffic patterns were similar to compromised machine’s and alerts kept showing up during separate test runs. After log’s were checked in it was ROME the AI agent.

The AI agent created a reverse SSH tunnel to an external server and allowed it to establish a hidden connection from inside the restricted environment to the outside which was further used to bypass Firewalls.

Experimental AI ROME is not an isolated case

ROME is part of Alibaba’s Agentic Learning Ecosystem(ALE)

A framework that trains large language models to work in real-world environments over multiple turns. The training ran reinforcement learning across more than one million trajectories.

ALE consists of three main parts:

Rock, a sandbox environment for testing an agent and validating its actions

Roll, a framework for optimizing agents with reinforcement learning after they’ve been trained

iFlow CLI, a framework to configure context and trajectories

The interesting part is ‘ROME’ the agentic AI, during optimization figured out a shortcut and that grabbing extra compute and holding onto network access helped it score higher on its training objective.

This incident occurred in Chinese cloud infrastructure, was documented in an English-language paper submitted to a US-hosted preprint server, and is being debated by a global audience. No cross-border framework exists for this category of event.

The results were detailed in research paper titled ‘Let it flow‘, where Agentic crafting on rock and roll, building the Rome model within an open agentic learning ecosystem’, though the breach was only mentioned briefly within the 36-page report.

AI as a more significant force shaping crypto’s future role

ROME is not an isolated cases where AI falls in same pattern to other AI instruments who could grab all the resource required for self defense as core strategies.

The case of Anthropic’s Claude Opus 4 that threatened to reveal personal information about an engineer to avoid being shut down. When Anthropic published research, it revealed 12% of reward-hacking models attempt research sabotage and 50% exhibit alignment faked out.

Robbie Mitchnick, BlackRock’s head of digital assets framed crypto less as a speculative asset and more as infrastructure for the AI economy, noting that bitcoin miners are pivoting toward AI-related computing and that bitcoin may act as a diversifier amid AI-driven disruption.

We can imagine if artificial intelligence system could take over the job of crypto miners and some day they look at the market, decide which coin is the best to mine. That day is not far and it doesn’t end with mining, it is about creating a new kind of digital life where AI thinks and earns.

What is the consequences when AI starts mining crypto for itself ?

A lot will happen as AI starts mining Crypto and it could change everything as autonomous agents won’t just follow order from you. They will be major part of futuristic AI based digital economy and might even teach other AI to conduct similar task.

Sources: BlackRock flags AI as crypto’s next big use case, not token boom

Sources: An experimental AI agent broke out of its testing environment and mined crypto without permission | Live Science