

Co-Intelligence — Using AI to Think Better, Create More, and Live Smarter
3051 snips Apr 15, 2025
Ethan Mollick, a Wharton School professor and author of 'Co-Intelligence,' discusses the transformative power of AI, particularly large language models like ChatGPT. He advocates for experimenting with AI as a collaborative tool to enhance creativity and productivity. The conversation delves into the ethical implications of AI, effective prompting techniques, and its applications in education and health. Mollick emphasizes the necessity of integrating AI into our lives while maintaining critical thinking and human oversight.
AI Snips
Chapters
Books
Transcript
Episode notes
AI: A Misleading Label
- "Artificial intelligence" (AI) is a broad term originating in the 1950s.
- Before ChatGPT, AI primarily referred to machine learning, using data patterns for predictions.
How LLMs Work
- Large language models (LLMs) like ChatGPT work by predicting the next word in a sequence, based on massive datasets of text and code.
- This "fancy autocomplete" uses complex math to determine the most statistically likely word or token.
Choosing the Right LLM
- Different LLMs (ChatGPT, Claude, Gemini) offer varying features, but they're constantly evolving and converging.
- Prioritize using the largest, most actively developed "frontier models" like GPT 4 for complex tasks.