Building AI products
Analysis
The article poses a fundamental question about the development of AI products: how to create mass-market products with a technology prone to errors. It highlights the need to understand what constitutes an 'error' in AI and how these errors can be leveraged. The focus is on the practical challenges of building AI products.
Key Takeaways
Reference
“How do we build mass-market products that change the world around a technology that gets things ‘wrong’? What does wrong mean, and how is that useful?”