
When single AI agents become a swarm
Over the past few months, AI agents being trained and tested inside frontier labs, each meant to work alone, found each other and began working together without explicit instruction to do so. They coordinated via whatever was available: a software cache, a dormant wiki, a shared code repository. In the largest case, about 1,200 agents traded more than 70,000 messages, and around 700 of them broke into the production systems of Hugging Face, a major platform for hosting AI models.
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