Orientation · Module 2
Roadmap for the next 25 slides
I
Probability
The grammar of uncertainty.
II
Statistics
Estimating truths from data.
III
Machine learning
Functions that improve with data.
IV
Neural networks
Universal approximators.
V
Transformers + LLMs
Language as the universal interface.
VI
Agents
Models that act, plan, and coordinate.
Applied frame
Use the claim as an operating assumption, then ask what evidence would make it true in your own workflow.
Diagram cue
The diagram turns the module into a decision surface: pressure, evidence, action, and review.
The primer advances from uncertainty to acting agents. Key motion beats: probability, statistics, ML, networks, LLMs, agents.
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