he release of new AI models like Grok 4 and the anticipation around ChatGPT-5 create a lot of hype, but much of this excitement is limited to a niche group of "super users" and developers focused on the technical advancements. This episode explores the widening gap between these rapid technological breakthroughs and the slow pace of adoption by businesses and casual users. We discuss the significance of a new generation of chips, like Blackwell, which can speed up training and inference, as well as the larger context windows that give models more data to process at once. However, the hosts argue that these advancements are currently beyond the practical needs of most companies, who still struggle to effectively use the models they already have.