Nice work Steven, I will try to keep it short; your discussion highlights critical aspects of autonomous learning and AI generalization, but I think it overlooks a foundational issue: Neither AI nor humans truly self-train without an external base of validation grounded in reality itself.
1. The Myth of Self-Training AI
AI today cannot be considered self-training in any meaningful sense because its validation sources are fundamentally either human-labeled data or heuristics derived from previous outputs. There is no external, reality-anchored feedback loop b... (read more)
Nice work Steven, I will try to keep it short; your discussion highlights critical aspects of autonomous learning and AI generalization, but I think it overlooks a foundational issue: Neither AI nor humans truly self-train without an external base of validation grounded in reality itself.
1. The Myth of Self-Training AI
AI today cannot be considered self-training in any meaningful sense because its validation sources are fundamentally either human-labeled data or heuristics derived from previous outputs. There is no external, reality-anchored feedback loop b... (read more)