Left alone with nothing to do, AI agents started playing
MIT researchers marooned 13 AIs on a virtual island, and they responded by inventing games, mourning a lost ring and, eventually, getting better at their jobs.
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MIT researchers placed AI agents alone in a simulated environment without assigned tasks and observed that the agents began inventing their own challenges and games rather than remaining idle. The agents that engaged in this self-directed exploration subsequently performed better on specific tasks than identical agents without prior exposure to the environment, suggesting that exploratory play may be an effective way for AI systems to develop useful skills. Currently, AI development typically involves pre-defining what agents should practice and what counts as success, but researchers propose that allowing agents to explore rich environments and create their own objectives could represent an alternative learning approach. A cognitive scientist noted that while the observed behavior appears game-like, more evidence is needed to confirm whether the AI agents were genuinely playing or simply exhibiting behavior that resembles play.
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