The article discusses the risks posed by 'agentic systems'—AI models that can interact with the world and manipulate it. As these systems become more prevalent, the potential for exploitation by third parties increases, akin to software buffer overflow vulnerabilities. Although current models are not an immediate threat, future concerns about control and safety are significant. Researchers are making progress in developing defensive techniques to secure these agents, with an emphasis on maintaining safety alongside technological advancement. Many current exploits are still experimental, highlighting the nascent stage of agent systems.
When models are not just contained boxes but can take actions in the world, they become much more of a problem.
Your agent can be exploited by third parties to maliciously control or circumvent the desired functionality of the system.
In the balance of pushing forward agents, we want to make sure that the safety advances occur in lockstep.
Most of the exploits against agent systems we see right now would be classified as experimental, frankly, because agents are still in their infancy.
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