Hassabis notes that early chatbots found huge demand in use cases where accuracy mattered less, such as brainstorming, which surprised the industry.
So there were these sort of low hanging fruit that it didn't matter, do some brainstorming, it didn't matter if it made some errors that weren't to do with information seeking. And these were new use cases that hadn't existed before.