Chris Pedregal
How to Build a Truly Useful AI Product
Chris Pedregal, cofounder of Granola, discusses the unique challenges of building AI products in a fast-changing landscape. He emphasizes the need for a new approach, focusing on predicting future capabilities, providing context for AI models, and narrowing the product's focus to excel in specific use cases. Despite the rapid pace of AI development, the core principles of creating a desirable product remain the same.
1. Don't solve problems that won't be problems soon (View Highlight)
2. Your marginal cost is my opportunity (View Highlight)
The beauty is that even if your user base is growing exponentially, the cost of AI inference is decreasing exponentially. Today’s cutting-edge models will be affordable commodities in a year or two. Today’s Ferrari’s are tomorrow’s Hondas. Be a Ferrari while you can. (View Highlight)
