Co-Intelligence — Using AI to Think Better, Create More, and Live Smarter
The Art of Manliness
- AI has evolved from machine learning to include large language models (LLMs) like ChatGPT.
- LLMs are trained on vast datasets of text and code to predict the next word or token in a sequence.
- LLMs can now generate images directly by painting little patches of images, similar to how they generate text.
- The exact reasons why LLMs are so effective are not fully understood.
Shownotes Transcript
The era of artificially intelligent large language models is upon us and isn't going away. Rather, AI tools like ChatGPT are only going to get better and better and affect more and more areas of human life.
If you haven't yet felt both amazed and unsettled by these technologies, you probably haven't explored their true capabilities.
My guest today will explain why everyone should spend at least 10 hours experimenting with these chatbots, what it means to live in an age where AI can pass the bar exam, beat humans at complex tests, and even make us question our own creative abilities, what AI might mean for the future of work and education, and how to use these new tools to enhance rather than detract from your humanity.
Ethan Mollick is a professor at the Wharton business school and the author of Co-Intelligence: Living and Working with AI). Today on the show, Ethan explains the impact of the rise of AI and why we should learn to utilize tools like ChatGPT as a collaborator — a co-worker, co-teacher, co-researcher, and coach. He offers practical insights into harnessing AI to complement your own thinking, remove tedious tasks from your workday, and amplify your productivity. We'll also explore how to craft effective prompts for large language models, maximize their potential, and thoughtfully navigate what may be the most profound technological shift of our lifetimes.
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