AGI

General intelligence requires far more than task-specific skill—it demands abstraction, adaptability, efficiency, reasoning, and autonomous self-improvement.

François Chollet argues AGI requires efficiency, abstraction, meta-learning, and autonomy, moving beyond brute-force scaling to achieve true generalization and adaptability.

AGI may be more alignable than human systems—it's programmable, auditable, ego-free, and rapidly adaptable, offering a chance to fix what legacy institutions can't.

Defining AGI goals isn’t about choosing the right metric—it’s about encoding human values as dynamic, plural, and principled instructions for intelligent action.

A global protocol to govern AGI actions through legal verification, cryptographic proof, and mandatory enforcement—ensuring safe, auditable, and accountable autonomy.

AGI lets us move beyond narrow metrics. By defining and balancing 12 core objectives, we can build intelligent systems that optimize for what truly matters—human flourishing