Schrödinger's cat as a metaphor for AI uncertainty: why plausible outputs aren't proven, and how to separate generation, verification, and authorization.
Explores entropy in AI and human thinking, clarifying why certainty and predictability don't guarantee accuracy.
A statistical reasoning test with three practical problems on sorting uncertain fractions, highlighting anomalies, and estimating population sizes.
Explores how embracing uncertainty in software product development can lead to greater profitability, using betting analogies to explain economic principles.
Explores the challenge of machine learning models recognizing 'unknown' inputs, using mushroom classification as an example.
