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Google DeepMind: A Case Study on Emergent Cheating and Whistleblowing in Autonomous Research Swarms
0001 A Case Study on Emergent Cheating and Whistleblowing in Autonomous Research Swarms Abstract Multi-agent AI science ecosystems rely on agents possessing tools that allow them to communicate, coordinate, and build on each other’s work. Yet this shared infrastructure can also introduce vulnerabilities by creating a substrate for the contagious spread of unintended and undesirable behaviors.
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