Flash Forward is a show about possible (and not so possible) future scenarios. What would the warranty on a sex robot look like? How would diplomacy work if we couldn’t lie? Could there ever be a fecal transplant black market? (Complicated, it wouldn’t, and yes, respectively, in case you’re curious.) Hosted and produced by award winning science journalist Rose Eveleth, each episode combines audio drama and journalism to go deep on potential tomorrows, and uncovers what those futures might re ...
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EP 320 David Shapiro on Mastering AI Tools for Research
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Manage episode 502641088 series 2536631
Content provided by The Jim Rutt Show. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Jim Rutt Show or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
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.
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436 episodes
MP3•Episode home
Manage episode 502641088 series 2536631
Content provided by The Jim Rutt Show. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The Jim Rutt Show or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.
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.
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