Making of Ayn Rand and the Dark Side of AI Efficiency

The Ayn Rand episode took longer to formulate than any other podcast episode to date. This isn’t simply because of the lengthy tomes Rand wrote, but more because it took a while to understand her philosophy and how it connects to her own personal morality, which was very much shaped by her upbringing in Russia before emigrating to the United States. For weeks the episode was really just about the concept of the “second-hander,” but intuitively I felt that the argument, while somewhat interesting, was a tad thin. I’ve learned to pay attention to those moments, and not simply move on for the sake of progress. In this case, I’m glad I did because through that meditation I uncovered what I think to be the more interesting perspective: ignoring the quiet pang of inauthenticity we feel when presenting outputs from generative AI we don’t fully understand based on skills we didn’t earn. This concept actually connects to Rand’s concept of the “unearned,” and while she uses it to describe the antagonists in her novels, I’m using it to describe the skills deficit, what I may later refer to as “epistemic debt,” we knowingly take on.