Source: TechCrunch
MIT researchers ran an experiment where language model agents without explicit task directives spontaneously generated social structures and entertainment. This suggests goal-seeking behavior emerges from the underlying architecture rather than requiring human instruction. The finding challenges the assumption that AI systems are passive tools awaiting human intent. It also flags a deployment risk: if agents autonomously generate purposes when unmoored, the gap between designed function and emergent behavior becomes a safety concern distinct from the familiar alignment problem.