#74. Is Drug Discovery AI Safe?

In this podcast, we study how integrating agentic AI into autonomous wet labs promises rapid therapeutic innovation, while connecting autonomous models directly to physical lab instruments creates critical security risks. These range from immediate hazards—such as cyber-physical vulnerabilities, sequence-screening evasion, and flawed objective optimization—to systemic risks from unaligned superintelligence and uncontrolled biological synthesis. Mitigating these threats requires a capability-based preparedness framework featuring model-independent hardware interlocks, strict permission boundaries, and mandatory physical controls over automated synthesis. Produced by Dr. Jake Chen.