In this chapter, the hosts discuss the benefits of thinking probabilistically and adopting a realistic mindset. They explain how this approach can alleviate anxieties and emphasize that theory is not always applicable in real-life situations.
Bojan Tunguz is a senior systems software engineer at NVIDIA, quadruple Kaggle grandmaster, former top 10 Amazon reviewer, and former physicist. He joins the show to discuss the problems that LLMs can’t solve, the speed of AI progress, why he homeschools his kids, how to win Twitter, and more! Important Links:
Show Notes:
- Becoming a Kaggle Grandmaster
- Hyper-Competitive Learning
- From Physics to Data Science
- How Natural Language Processing Has Evolved
- The Problems That LLMs Can’t Solve
- The Future of the Centaur Model
- AI as a Creativity Extender
- Why Bojan is Homeschooling His Kids
- The AI Feedback Flywheel
- How Quickly Will Different Sectors Be Transformed By AI?
- Disruption vs. Destruction
- Is AGI possible?
- AI Use Cases: Mental Health & Elder Care
- How to Win Twitter
- Why Bojan Became a Top 10 Amazon Reviewer
- Bojan’s Favorite Books
- Bojan’s Current Side-Project
- Bojan As Emperor of the World
- MORE!
Books Mentioned:
- Lolita; by Vladimir Nabokov
- The work of Haruki Murakami
- The work of Milan Kundera
- The Blank Slate: The Modern Denial of Human Nature; by Steven Pinker
- Seeing Like a State: How Certain Schemes to Improve the Human Condition have Failed; by James Scott