Jim talks with David Shapiro about how to use AI language models as research and writing tools. They discuss post-labor economics, the evolution of AI tools from GPT-2 through GPT-4, using AI as a learning companion vs. relying on it completely, David's AI tool stack, exploring new domains, using NotebookLM for document management & searching, AI writing and editing techniques, critique and perspectives through personas, the rapid adoption of AI tools across industries, understanding limitations, challenges for AI startups, and much more.
Episode Transcript
JRS EP 317 - David Shapiro on Post-Labor Economics
David Shapiro is an American AI thought leader, author, YouTuber, and former IT infrastructure and automation engineer based in Raleigh, North Carolina. With over 16 years of experience in technology, including four years focused on artificial intelligence, Shapiro has emerged as a prominent voice in AI philosophy, cognitive architectures, and post-labor economics. His work centers on the societal and economic implications of AI, advocating for a future of post-scarcity and hyper-abundance where automation meets basic human needs at low cost.
