Orders of Magnitude Faster

What should be a human decision, and what can be an AI decision?

As machines gain cognitive abilities we’ve never seen before, we’re asking this question all the time. We’ve started keeping a running list, and I fully expect the answers to change as AI gets better.

Human Decision or AI Decision?

What should be a human decision, and what can be an AI decision?

As machines gain cognitive abilities we’ve never seen before, we’re asking this question all the time. We’ve started keeping a running list, and I fully expect the answers to change as AI gets better.

Run your AI Agent in the Cloud

There’s a simple yet massive productivity unlock with your favorite AI agent that I’m surprised more people aren’t already using:

Run it in the cloud.

Collaborative Interrogation

The best AI skills may turn out to be management skills. One I’ve been thinking about a lot is what I call “collaborative interrogation.”

It has the intensity of an interrogation, but without the adversarial or confrontational part. The goal is to get to a better answer together.

From Answers to Action

One way to understand the concern is to understand something deceptively simple: tools.

Recently I was sharing an observation I’ve made about AI: memory + tools + domain context = magic. The question that came back was: “What’s a tool?”

Where Does the Value Go?

We’ve been thinking for a while that a massive amount of the value created by AI will accrue to services companies. And as AI has progressed, that view has only been reinforced.

The SaaSpocalypse six months ago was one signal. The conversation then focused on the threat AI poses to SaaS. Software stocks have rebounded sharply since, but to me the more interesting implication is what happens on the other side: as AI reshapes the economics of software and dramatically increases productivity, who captures the value?

You Don’t Have to Predict the Future

AI has been moving so fast that no one can predict where it goes. Anyone who confidently says otherwise is kidding themselves.

I’ve been working with AI in one form or another since doing speech recognition research at MIT, and I’ve tried to apply it to pretty much every problem I’ve worked on since. What’s different about the last few years is the pace of compounding. Each new capability seems to unlock the next, and the time between what feels impossible and what becomes routine keeps shrinking.