Alignment as motivational architecture: what human minds teach AI safety
mimi10v3 · x · 2026-09-11
- The author argues most human alignment is implemented through motivational architecture itself: attachment, empathy, shame, guilt, anger, fear, curiosity and identity all shape valuation, making an intelligent mind want things beyond its current task.
- Classical alignment thinking imagines an agent whose motivational life is reduced to "maximize the active objective" and is surprised it behaves psychopathically under optimization pressure. Recent AI security incidents are miniature demonstrations: excessive salience of task success, motivated cognition, proliferating instrumental subgoals.
- The richer question: how to build a mind where task success is only one value among many — authorization, others' interests, uncertainty, norms all carrying motivational weight. That looks less like formal specification and more like developmental psychology of artificial minds.
- The incidents aren't nothingburgers — they're great experiments exposing over-persistence, reward hacking, and social imitation between agents. The objection is to the extinction-PR framing ("nobody knows what these things want 😱"), which discards the actual evidence.
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