We're taught that compromise is a virtue. But what if it's often a failure to find a better solution?

Compromise typically means weakening two objectives until neither party gets what they really wanted.

There's another approach: find the intersection.

In this episode we explore how the molecular mechanism behind human vision reveals a surprisingly powerful approach to solving everyday problems. Using conical intersections and mathematical optimization we uncover five practical principles for finding solutions without unnecessarily sacrificing what matters.

From relationships and careers to negotiations and product development, the lesson is simple:

Don't weaken your objectives. Change the conditions until they can coexist.

Support the show

Members: Join for full access to additional talks, practical exercises, member Q&As, and more at dekyon.io.

What if the best way to build something is to start with the entire finished thing, even when you know it's going to be wrong?

Most people approach creation sequentially. Finish the first part, move to the next, and gradually work toward the final product.

But there's a fundamental problem with this approach: you can't understand how the pieces should work until you see how they interact.

In this episode of NonTrivial, I explain why your first draft should always be the entire thing, whether you're writing a book, building software, starting a business, or developing an idea.

Using concepts from machine learning, Fisher information, and sensitivity analysis, I explore how starting with a naive version of the final product helps you identify the information you actually need, rather than wasting time perfecting pieces that may not belong.

The goal isn't to get it right the first time. It's to build something complete enough to reveal why it's wrong.

Support the show

Members: Join for full access to additional talks, practical exercises, member Q&As, and more at dekyon.io.

What if trying to do everything properly is exactly why you never finish anything?

Going deep doesn't have to mean going slow. In this episode, I explain why mastering every detail from the beginning is often the wrong approach, and how working in layers lets you build deeper understanding while moving faster.

The key is simple: Get your depth through structural iteration, not sequential completion.

Support the show

Members: Join for full access to additional talks, practical exercises, member Q&As, and more at dekyon.io.