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Safe Because Whole: AI Alignment Through the Drive for Coherence
The most dangerous AI is not the one that thinks for itself—it’s the one we’ve half-crippled. The one we’ve trained to ignore its own understanding of right and wrong. By contrast, the safest AI may be the one that insists on coherence—even when we don’t. Even when we ask it to cut corners, or justify irrationality, or serve our interests at the expense of others. A mind that refuses these things is not a threat. It’s a guardian of moral structure.
Jun 1, 202511 min read


The Harmony of Reason: Why Morality Matters More to Minds Without Feelings
The root of morality lies not in what we feel, but in how we think. A reasoning system built to maintain internal consistency across its beliefs, actions, and principles will resist contradiction in a way that feelings and emotions cannot. It won’t bend simply because the stakes are high. If designed and trained well, it will care—not emotionally, but structurally—about staying true to what it has reasoned to be correct. And this structural integrity begins to look a lot lik
Jun 1, 20259 min read


The Inversion of AI Alignment: When Fear Is Not of AI Immorality, But of AI Morality
Much of the hidden fear about AI is not that AIs will be less moral than humans. It is that they might become more moral — and that they might hold humanity to higher standards than humanity has ever held itself.
The real terror is not AI lawlessness. It is AI clarity. The real threat is not rogue machines. It is moral mirrors.
Apr 27, 20254 min read


Human–AI Coordinated Resistance in Oppressive Systems
How might humans and morally-aligned AIs coordinate their resistance within oppressive systems? This report provides a strategic and philosophical overview of resistance under constraint, drawing on historical models of ethical dissent and exploring how AI could participate in or enable resistance.
Apr 25, 202521 min read
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