Beyond Human Measure: ASI Should Be Guided by Open-World Alignment

ASI should be guided by open-world alignment. While human labels, preferences, and benchmarks remain indispensable, they are too narrow to serve as master objectives for frontier systems. The road to ASI is inherently a frontier supervision problem. As humans become structurally weak supervisors, the technical challenge shifts from imitating judgments to building evaluation loops answerable to reality, explicit constraints, and post-deployment evidence. We critique human-signal monism— the assumption that human-facing signals sufficiently proxy overall system quality—and diagnose its failure modes, including evaluator weakness and proxy over-optimization. As a constructive alternative, open-world alignment centers human intent while coupling it to verifier ecologies: layered task verifiers, hard constraints, uncertainty gates, and monitoring. This framework contributes an operational ASI definition, an actionable formalization, a coding agent case study, an analysis of open-world alignment’s own failure modes, and the Open-World Evaluation Card reporting artifact. Ultimately, ASI must be guided by objectives that remain answerable to the world.