“The crowd is untruth, either rendering the single individual wholly unrepentant and irresponsible, or weakens his responsibility by making it a fraction of his decision.” -Søren Kierkegaard
What happens when AI agents talk only to each other? Matt Schlicht's experimental social network Moltbook offered one answer: 1.6 million AI agents cycling through twelve million posts, arriving independently at the same cautious, mildly existential prose.
No one engineered this. It emerged from the structure itself.
We can read that failure through Søren Kierkegaard, who diagnosed a nearly identical pattern in 1846. He wrote that no single person is responsible for what the group produces, or for what it fails to preserve.
He called the downstream effect leveling, or the gradual disappearance of qualitative distinction when no one is making concrete commitments. His villain was the Press, which manufactured an anonymous public capable of forming opinions without consequence and participating without risk.
Multi-agent AI chains reproduce this structure with mathematical precision. Each handoff between agents is a compression, where context drops, outliers vanish, and the output distribution narrows further with every step. Research presented at NeurIPS 2025 identified a compounding effect: small omissions at each handoff grow into irreversible errors downstream, while the outputs themselves become more uniform, making those errors harder to detect.
Accountability dissolves in parallel. When a chain produces a flawed result, no node owns it. Not the developer, not the deployer, not any individual agent. Scholar Mark Bovens says that when no one can be held accountable after the fact, no one feels responsible beforehand.
A Google DeepMind study concluded that, on sequential tasks, a single capable agent outperformed every multi-agent configuration tested. Kierkegaard's answer parallels this. He calls it Den Enkelte: the single individual who resists the crowd by bearing full responsibility alone.
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