
In this episode, Scott Hanselman and Mark Russinovich explore new AI security research revealing how smaller, unrestricted models can leverage more powerful AI systems to complete tasks those systems would normally refuse. Mark breaks down the research, its surprising results, and the potential security risks of AI models working together without understanding the bigger picture. Plus, Scott shares his approach to managing multiple AI agents, and the two discuss the challenges of keeping AI-powered development secure and efficient. Takeaways: Why breaking complex tasks into smaller pieces creates new AI security risks How Scott uses AI agents to manage development tasks and reduce workload What Mark’s latest research reveals about vulnerabilities in AI systems Who are they? View Scott Hanselman on LinkedIn View Mark Russinovich on LinkedIn Watch Scott and Mark Learn on YouTube Listen to other episodes at scottandmarklearn.to Discover and follow other Microsoft podcasts at microsoft.com/podcasts
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