About this episode

This episode explores large event models and their applications in understanding and forecasting real-world events.

This episode unpacks large event models—AI that can understand, represent, and forecast real-world event sequences over time, not just generate text. We explore how LEMs extract underlying rules with schema induction, marry neural nets with symbolic planners for safety, and use sparse attention to manage massive timelines. We discuss real-world uses in public safety and healthcare, the safety nets that keep predictions grounded in reality, and imagine how a personal LEM could optimize your da...

People in this episode

Host: Mike Breault

Topics covered

• large event models
• AI
• real-world event sequences
• schema induction
• neural networks
• symbolic planners
• public safety applications

Keywords

• large event models
• AI
• schema induction
• neural networks
• public safety
• healthcare
• predictions

Mentioned in this episode

Organizations: public safety, healthcare

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