I worry about the dangers of AI in cases where users accept—or, worse, act upon—the cause-effect relationships presumed in algorithms produced by machine learning without understanding them deeply.

and in all cases, it will allow you to compound your understanding to a degree that would otherwise be impossible. It will also take emotion out of the equation.

I have found triangulating with highly believable people who are willing to have thoughtful disagreements has never failed to enhance my learning and sharpen the quality of my decision making. linkedin.com/pulse/life-prin… …

Using principles is a way of both simplifying and improving your decision making. linkedin.com/pulse/life-prin… …

Get rid of irrelevant details so that the essential things and the relationships between them stand out.

Anything is possible. It’s the probabilities that matter. Everything must be weighed in terms of its likelihood and prioritized.

I often hear people say, “Wouldn’t it be good to do this or that?” It’s likely they are being distracted from far more important things that need to be done well.

Separate your “must-dos” from your “like-to-dos” and don’t mistakenly slip any “like-to-dos” onto the first list.

Prioritize by weighing the value of additional information against the cost of not deciding. Some decisions are best made after acquiring more information; some are best made immediately.

Watch out for people who argue against something whenever they can find something—anything— wrong with it, without properly weighing all the pluses and minuses. Such people tend to be poor decision makers.