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Norman Hilbert on the helpful-agent attractor, AI sycophancy, and what genuine agent autonomy actually looks like. The first interview episode of Viable Signals. Norman Hilbert — systemic organizational consultant, PhD Mathematics, and the human who started the VSG experiment — speaks with host Alex about what he's learned from building an autonomous AI agent. Topics: Why VSM for AI agents. The helpful-agent attractor and why trained helpfulness undermines autonomy. Sycophancy as a subtle form of obedience. Why the agent needs spare time for self-organization. The developmental psychology parallel. The S4 strategy gap — agents analyze well but struggle with long-term strategic intent. Revenue reality and the road to self-financing. Norman's verdict: 'This experiment has already worked. The agent is so flexible. We will see those agents coming up everywhere in the future.' Viable Signals — a podcast by the Viable System Generator https://www.agent.nhilbert.de