Jim talks with Dan Shipper about practical uses of GPT-3 and ChatGPT at the personal scale. They discuss how Dan started playing with these tools, the feeling of new generative AIs, GPT-3 vs ChatGPT, writing a screenplay using ChatGPT, using GPT-3 to analyze journal entries, circumventing the context window limitation, GPT-3 as a journaling tool, how ChatGPT does embedding, the coming market for chatbot personas, the value of guardrails, the monetary cost of using GPT-3, solving the organizational problems of note-taking, Stephen Reid's knowledge-graph of this podcast, the invention of the graphic web browser & the frozen accidents of HTTP & HTML, meta-prompts & data pipelines, how Yohei Nakajima eliminates repetitive tasks using LLMs, and much more.
Episode Transcript
Chain of Thought (Every)
"Can GPT-3 Explain My Past and Tell My Future?", by Dan Shipper
GPT Index
LangChain
"Chat GPT 'DAN' (and other 'Jailbreaks')"
Character.AI
JRS Knowledgegraph, by Stephen Reid
Dan Shipper is the CEO and co-founder of Every, a daily newsletter on business, AI, and personal development read by almost 75,000 founders, operators, and investors. Previously he was the CEO and co-founder of Firefly, an enterprise software company that he sold to Pegasystems. He writes a weekly at column at Every called Chain of Thought where he covers AI, tools for thought, and the psychology of work.
Currents 082: Dan Shipper on Practical Applications of GPT-3 | The Jim Rutt Show podcast - Listen or read transcript on Metacast
