Causal Python Series
Season 3 • Episode 2
AI’s Fluency Is Not Understanding
Host: Alex Molak • Guest: Elias Bareinboim, PhD
In collaboration with UBC, this episode explores why linguistic and visual fluency in modern LLMs does not equate to understanding, delving into causal reinforcement learning, world models, and counterfactual reasoning.
Causal AI
Reinforcement Learning
World Models
Counterfactuals
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Causal Python Series
Season 3 • Episode 1
Spaceflight Epidemiologist’s Grand DAG
Host: Alex Molak • Guest: Robert Reynolds, PhD
In collaboration with UBC, this episode explores how causal graphical models and Directed Acyclic Graphs (DAGs) translate into spaceflight risk management at NASA, epidemiology, and complex health systems[cite: 1].
Causal Inference
Spaceflight Epidemiology
Living DAGs
Python
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More episodes in production: Upcoming interviews with cluster researchers and guest collaborators will be posted here as they release.