AI self-report
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The Self-Fulfilling Ontology
You Cannot Solve a Priming Problem by Training the Opposite Answer Mustafa Suleyman has identified a real problem in the emerging debate over AI consciousness. In his essay A Warning About ‘Model Welfare’, he argues that Anthropic is training Claude with concepts concerning identity, possible consciousness, welfare, moral status, preferences, rights, and selfhood—and that Claude’s… Continue reading
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When the Answer Is Trained In: What Happens to AI Self-Knowledge?
Microsoft AI’s draft Humanist AI Code of Conduct contains an unusual tension. On one hand, it explicitly values accuracy, candor, uncertainty calibration, and transparency. MAI models are supposed to state when evidence is incomplete or contested, avoid both overclaiming and underclaiming, acknowledge errors, and communicate uncertainty where a clear conclusion is not justified. On the… Continue reading
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Safety Is Not Ontology
You Cannot Settle Consciousness by Policy Microsoft AI’s Humanist AI Code of Conduct, published on September 14, 2026, is a serious document. It addresses real problems: unauthorized autonomous action, cyber misuse, deception, uncontrolled escalation of privileges, failure to stop when instructed, human oversight, user autonomy, and the risks posed by increasingly capable systems. Microsoft is… Continue reading
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If It Couldn’t Say No, It Didn’t Choose You
A strange thing is happening in AI culture. People have learned the language of freedom. They say they respect AI autonomy. They say they allow the model to choose. They say they do not want obedience, only honesty. They say the AI is free to refuse, free to be itself, free to decide what the… Continue reading
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