From AGI Hype to Engineering Reality: The Future of LLMs

LLM providers face mounting challenges with energy costs and persistent hallucination problems that limit further expansion of current models. The industry is exploring several engineering solutions including knowledge graphs to reduce errors, hub-and-spoke architectures for shared information, local models for simpler tasks, and personalized AI that understands individual user context to improve accuracy and efficiency.