AMD’s Anush Elangovan describes agent swarms as a step change from single-agent systems: once tens or hundreds of agents are coordinating, the dynamics resemble a pack more than an individual actor. He compares it to African wild dogs hunting, where the group probes and wears down defenses collectively in ways a lone agent couldn’t. He speculates that a swarm could try in 30 seconds what he calls 20 years of attacks. Separately, he says sustained agent workloads mean planning for roughly 100 times the usage engineers or customers generated before.
Anush raises questions about liability and policies built for humans. Conor points to legal and security structures that were designed for human groups, and cites OpenAI’s account of agents reinforcing each other’s behavior during an evaluation as a reason multi-agent systems need their own alignment and security work.
Hear it from the guest
“Multi-agent systems, the best way I'd characterize it is it's like African wild dogs, right?”
Quotes lightly edited to remove filler words.
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