AGI

AGI will not replace humans in one leap but in stages — shifting humans from operators to constitutional governors as machines assume planning and execution.

AGI will disrupt domains in a safety-ordered sequence. Early wins are symbolic and reversible; late wins require safety, governance, and institutional redesign.

AGI will be a composite architecture with world-models, planning, self-improvement, memory, grounding, social reasoning, and baked-in safety — not a single giant model.

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.