With Chipchase‘s writing, I never know where the line between blatant self-branding and unique insights is. And I’m ok with that. 

Clare Corthell explains very matter-of-factly the current state of most of the artificial intelligence assistant systems out there and why they will always work in collaboration with humans. Lots to learn here about design patterns for machine learning. 

Madeline looks at the Dallas police action from the perspective of strategic foresight. And so much more.

This is how you take down Silicon Valley solutionism. By digging deeply into it, examining the underlying patterns and actually leaving it having advanced the discours. Well done, Ethan Zuckerman.

A great introduction to Interactive Machine Learning by Greg Borenstein, which is mainly about building interfaces “that put power of these systems in the hands of their human users.” This is the machine learning part I can get excited about. 

The possibilities and challenges of probailistic forecasting. 

“The analysts can’t inform the policy community if they get all of their information from the machine. They have to understand the politics that go into the machine.”

Allison Arieff weighs in on, what I call, the mommy-as-a-service industry and puts the finger where the current reasoning about “world changing” innovation falls apart. Bonus Andreessen take-down.