Growth doesn’t 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 with the illusion of linearity: why roadmaps, OKRs and product plans look straight, even though real intelligence never behaves that way.
Then we break down 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 loops through measurement, error correction and adaptability, referencing Chip Huyen’s AI Engineering and Ethan Mollick’s Co-Intelligence.
You’ll learn why models improve not by being “smarter”, but by being faster at noticing they’re wrong.
Together, these ideas form the foundation for designing systems that learn with us and not just around us.
Part 1 ends with a cliffhanger:
>>> What happens when these loops expand beyond individuals… into products, teams and organizations? <<<
Listen ahead: Part 2 continues the loop.
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Listen now: https://humanxintelligent.com
→ Also available on all major podcast platforms.
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Season 01 — The Human × Intelligent
Every week, we explore the systems, stories and shifts defining the new relationship between humans and intelligence.
Because clarity isn’t a destination, it’s a rhythm that keeps us human in a world that’s becoming intelligent.