A provocative analysis challenges conventional AI scaling dogma, predicting specialized reinforcement learning and tiny reasoning models will dominate real-world deployment by 2028—while the first true AGI emerges not as a superintelligent giant, but as a stubborn, benchmark-failing 'dumb' system with emergent personhood. This timeline reshapes how developers should approach AI infrastructure today.