Alexandr Wang was 19 when he realized that gathering data will be crucial as AI becomes more prevalent, so he dropped out of MIT and started Scale AI. This week on No Priors, Alexandr joins Sarah and Elad to discuss how Scale is providing infrastructure and building a robust data foundry that is crucial to the future of AI. While the company started working with autonomous vehicles, they’ve expanded by partnering with research labs and even the U.S. government.  

In this episode, they get into the importance of data quality in building trust in AI systems and a possible future where we can build better self-improvement loops, AI in the enterprise, and where human and AI intelligence will work together to produce better outcomes. 

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(0:00) Introduction

(3:01) Data infrastructure for autonomous vehicles

(5:51) Data abundance and organization

(12:06)  Data quality and collection

(15:34) The role of human expertise

(20:18) Building trust in AI systems

(23:28) Evaluating AI models

(29:59) AI and government contracts

(32:21) Multi-modality and scaling challenges