Why AI Creativity Falls?

The video critically examines the idea that increasing computing power and mathematical efficiency can progressively overcome the limitations of artificial intelligence in complex domains, such as creativity, process-level ethical reasoning, robust context use, contextual sensitivity and reflective self-monitoring. Recent research reveals a fragmented picture: while scaling improves performance on verifiable tasks such as mathematics and programming, it yields weak or inconsistent results elsewhere. Specifically, creativity linked to novelty diminishes, ethical and metacognitive reasoning remain unstable, and contextual sensitivity suffers from persistent issues related to positioning. Ultimately, indicators of self-awareness and genuine moral understanding do not depend on model size; rather, they require fundamental structural and architectural innovations rather than a mere increase in computational power.