Part 4/9:
Baker's observations extend into the broader implications of cheaper AI models. As training costs decrease, companies traditionally reliant on expensive infrastructure for AI training will face challenges. This shift may prompt a transition towards edge computing, wherein AI is deployed on local devices—computers, smartphones, and potentially in smart household devices—rather than centralized data centers.