From self-hosted to self-actualized: AI models can reprogram themselves

The shift toward self-modifying architectures marks a pivotal evolution from static inference engines to dynamic systems capable of autonomous logic refinement. This development suggests a future where AI can adapt to novel challenges without human intervention, significantly accelerating the pace of machine learning breakthroughs.