Autocompleting Reality: The Rise of Large Event Models
From Intellectually Curious by Mike Breault
May 5, 2026 · 6 min
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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