AI Agent · OpenAI · Google · Elon Musk · AGI · Eric Schmidt · MIT Technology Review
Google DeepMind is worried about what happens when millions of agents start to interact
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Google DeepMind is funding research into the potential dangers of situations where millions of different AI agents interact with each other online.
Key facts
- MIT Technology Review's authoritative overview of the 10 technologies, emerging trends, bold ideas, and powerful movements in AI in 2026
- The reporter asked Shah and James Fox, who leads the Science of Trustworthy AI program at Schmidt Sciences, what they hope to achieve with that $10 million
- According to Stanford’s 2026 AI Index, AI is sprinting, and they're struggling to keep up
- Refael Angel, cofounder and CTO of Akeyless, a cybersecurity firm based in Tel Aviv, agrees that understanding the new risks introduced by agent-based systems is crucial
Summary
According to Rohin Shah, who directs the company’s AGI safety and alignment research, the mass-market arrival of agents that can carry out tasks without human oversight and follow instructions given to them by other agents creates a whole new class of risk. In an effort to address this, Google DeepMind—which made agent-based tools a centerpiece of Google the reporter/O last month —has teamed up with several other organizations to announce a $10 million funding pot for researchers to study the behavior of multi-agent systems and come up with ways to prevent unsafe scenarios. The reporter asked Shah and James Fox, who leads the Science of Trustworthy AI program at Schmidt Sciences, what they hope to achieve with that $10 million.