Beyond Token Prediction: The Architectural Case for Truth-Grounded AI
LLMs optimize plausibility, not truth. RAG and verification compensate, but don't change the architecture. Real progress requires systems that learn from outcomes over time or alternative foundations that sidestep token prediction entirely. Different error economics.