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mit tech review · 2026년 6월 11일

DeepMind, 멀티에이전트 무정부 상태 방지에 1,000만 달러 베팅

google deepmind는 자동화된 프롬프트 인젝션 같은 멀티에이전트 안전 위험을 연구하기 위해 1,000만 달러 규모의 그랜트를 지원하며, 에이전트가 확장되기 전에 디지털 무정부 상태를 막고자 합니다.

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google deepmind has committed $10 million to academic research on multi-agent safety, a field rohin shah says is virtually non-existent despite agents being a centerpiece of google i/o. the initiative, backed by schmidt sciences and the uk government, aims to simulate millions of agent interactions to forecast emergent risks like supercharged cyberattacks and market manipulation before agents permeate the economy. shah warns that studying agents in isolation is insufficient and that the industry has only a few months to understand these dynamics before deployment hits critical mass.

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