Leading AI researchers and tech executives reveal why today's large reasoning models fall drastically short of human cognition. Despite industry hype, genuine artificial general intelligence requires fundamentally different architectures beyond pattern recognition, with current systems excelling at specific tasks while failing catastrophically at others.