Beyond Static Weights: Why Real Neural Learning is the Missing Piece in AGI

LLMs are sophisticated pattern matchers but fundamentally cannot learn from experience—a critical gap for AGI. By implementing Spiking Neural Networks with spike-timing-dependent plasticity, AI can develop genuine adaptive learning like biological brains, shifting the conversation from language optimization to neuromorphic architecture as essential for true artificial general intelligence.