Part 4/9:
In his quest for a deeper understanding of AI, the speaker shares his experiences running models such as Llama from Meta and other open-source options on his home computer. He expresses disappointment in their performance, highlighting a troublingly high error rate that undermines their usefulness. This hands-on approach reinforces his skepticism and belief that the AI tools available today do not measure up to the expectations set by developers and advocates in the field.