Mike discusses the challenges of speech-to-text technology, emphasizing the need for extensive data. He highlights a common oversight in language analysis: the statistical assumptions made by many machine learning models, which often ignore the non-normal distribution of word choices. This leads to fascinating patterns in language that are often overlooked.
