Topic / Focus

Today marks the shift from programmed rules to learned patterns: training data, models, prediction, and the GPUs that make large-scale learning possible. This is where BRAID’s mechanism-to-capability arc begins.

Format: Full class · Lesson template: Concept + Lab

Guiding Questions

• What changed when systems moved from programmed rules to learned patterns?
• What do training data, models, and prediction actually do?
• Why do GPUs matter for what became possible?

In This Class

In this meeting, we will:

• walk through supervised learning and neural networks as a technical pipeline
• connect mechanism to capability using the BRAID framework
• flag prediction as importing the past into the present