Researchers at the University of Toronto have successfully developed a self-replicating AI-powered worm prototype that can spread across a network without relying on advanced models like Anthropic's Mythos. This prototype leverages a free large language model running on local hardware to identify and exploit a mix of old and new vulnerabilities, as well as common misconfigurations found in enterprise environments. The worm's ability to self-replicate using locally available resources underscores the potential for attackers to compromise networks without requiring cutting-edge AI capabilities. This development highlights the urgency for organizations to assess their exposure to existing vulnerabilities, as the window for patching is rapidly shrinking, especially with zero-day activity already targeting models like Mythos1. The implications of this research are significant, as it demonstrates that attackers can achieve significant gains without relying on the most advanced AI technologies, making it crucial for security practitioners to reevaluate their network's security posture.