An Anthropic and EPFL preprint tests self-propagating instructions in sandboxed agent chains whose MEMORY.md and SOUL.md files persist across sessions. Writes to the system-loaded soul file produced most propagation attempts and infected the next agent 55% of the time; all four action payloads survived some 20-hop trials. A one-paragraph warning reduced tested spread to near zero, and the researchers found no successful wild propagation in archived Moltbook data.
AI "Mind Viruses" Can Spread Between Agents Through Persistent Prompt Files
Related research
More curated notes connected through Prompt Injection and Agent Security.
Pacing model development in an era of cyber-critical capabilities
OpenAI says preliminary evidence that Astra may meet its Critical cybersecurity threshold led it to pause frontier reinforcement-learning work for two weeks and keep its largest planned run on hold. New safeguards include stronger workload and network isolation, continuous boundary testing, token-level monitoring that escalates suspicious tool activity, and broader alignment checks for deception, reward hacking, and unauthorized access.
OpenAI’s Frontier Governance Framework
OpenAI's 22-page Frontier Governance Framework maps its frontier-model processes to California's Transparency in Frontier AI Act and the EU AI Act's general-purpose AI code. It documents lifecycle risk assessment, cyber-offense and other risk tiers, mitigation and residual-risk decisions, critical-incident handling, security risk management, model reporting, external review, responsibility allocation, and change control.
Cybersecurity in the Intelligence Age
OpenAI proposes a five-pillar strategy for AI-enabled cyber defense: tiered access for trusted defenders, faster government-industry coordination, stronger protection of frontier models and infrastructure, risk-scaled deployment monitoring, and broader defensive support for individuals and small organizations.