Two Minute Papers spotlights how Claude's latest demos expose AI's stubborn core flaw: it excels at fluent simulation yet crumbles on tasks needing robust causal chains and self-correction. This matters because it reveals scaling hype won't magically deliver reliable tools for science or design. My take? It's an overdue reality check that should steer us toward hybrid architectures instead of bigger models. What limitation do you see as AI's real ceiling? Full video link https://youtu.be/axOcn--n_lM