Introduction

• Introduce Purkinje as an AI feedback system inspired by neuroscience.

• Discuss the inspiration: modeling the Purkinje neuron and its role in iterative learning.

The Creation of Purkinje

• The problem it was designed to solve: processing deeply nested, unstructured data.

• Describe how the system was built to analyze human feedback and refine outputs.

• Share technical and philosophical challenges encountered during development.

Why Failure Is Essential

• Explain how Purkinje uses failures (human corrections) to improve accuracy.

• Highlight the iterative process: how feedback loops mimic human learning.

Broader Implications

• Explore the potential of AI systems that embrace failure as part of their design.

• Reflect on what Purkinje taught you about systems thinking and improvement.