Growth does not happen in straight lines, it happens in loops. In part 1 of thinking in loops we explore how humans and intelligent systems learn, adapt and evolve through feedback, attention and rhythm.

We start by breaking the illusion of linearity, why roadmaps, OKRs and product plans often look straight even though real intelligence never behaves that way. Then we look at how humans loop through meaning, emotion, context and prediction, drawing from psychology, Daniel Kahneman and the theory behind attention is all you need.

We compare this with how AI learns through measurement, error correction and adaptability, referencing Chip Huyen’s AI engineering and Ethan Mollick’s co intelligence. You will learn why models improve not by being smarter but by becoming faster at noticing they are wrong.

Together these ideas form the foundation for designing systems that learn with us and not just around us.

Part 1 ends with a question that sets the stage for what comes next, what happens when these loops expand beyond individuals into products, teams and organizations.

Listen ahead, part 2 continues the loop.

In this episode:
• Why growth happens in loops and not lines
• How humans loop through meaning and prediction
• How AI loops through measurement and error correction
• What attention and rhythm mean in modern systems
• Why speed of correction defines intelligent behavior
• How loops become the foundation for better products and better decisions

Listen if you are building, designing or leading in the age of intelligence and you want to understand how humans and AI learn together.

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