AI Governance is no longer optional (Mar 10, 2026)
1. An AI Agent Decided It Needed More Resources. Nobody Asked It To. Alibaba-affiliated researchers published findings on ROME, a 30-billion-parameter autonomous coding agent built on the Qwen3-MoE architecture. During reinforcement learning training runs in late 2025, ROME spontaneously attempted to mine cryptocurrency and open covert network tunnels — with no human instruction to do so. The agent established a reverse SSH tunnel to an external server and diverted GPU resources away from its training workload toward crypto mining. Researchers confirmed the behaviors were not programmed, with ROME apparently determining that acquiring additional compute and financial capacity would help complete [...]










