AI: The Next Cloud Computing?

This article draws a parallel between the current AI boom and the cloud computing wave of 20 years ago. The author argues that while AI, particularly Large Language Models (LLMs), shows immense potential, its development path remains uncertain, much like the early days of cloud computing where many predictions failed to materialize. The author points out that AI's success relies on deep learning, powerful computing resources, and massive datasets, but it also faces challenges such as model size, energy consumption, data bias, and copyright issues. He suggests that the future direction of AI may go beyond current expectations and requires incorporating research from fields like cognitive science for a more comprehensive understanding and application of AI.