Scaling Challenges in AI Intelligence

This chapter explores the scaling challenges faced in AI model pre-training, particularly the diminishing returns seen with successive models. It contrasts the initial excitement surrounding models like GPT-4 with the lackluster reception of its successor, examining the complexities of measuring AI intelligence across different generations. The discussion further delves into the multidimensional nature of intelligence, the evolution of AI capabilities, and the implications for both human and artificial intelligence.