In This Issue: * Bubbles. Are We? Aren't We? Read more below for my current take... * On Unpredictability and
We act in the parts of reality AI can’t predict because they don’t yet exist.
Three Things Thing One: Summit 2026 Tickets for the Artificiality Summit 2026 are now available! Same place (Bend, Oregon) and
A conversation with Tom Hale about Oura Ring and the new data of health.
An interview with Frank Rose about his book Storytelling in a Data-Driven World
An interview with Ben Shneiderman about his book Human-Centered AI.
An interview with Julio Mario Ottino about his book The Nexus.
In this episode, we talk with Mark Nitzberg who is Executive Director of CHAI or the UC Berkeley Center for Human-Compatible AI and head of strategic outreach for Berkeley AI Research.
In this episode, we talk with Barbara Tversky about spatial thinking as the foundation of abstract thought, the linearity of spaces and perception of distances, putting thought into the world, and the creative power of sketching.
In this episode, we talk with Megan Brown, the Director of Data Science for Starbucks’ Global Center of Excellence.
In this episode, we talk with Peter Sterling, the author of What is Health. Peter caught our attention with his concise and understandable description of how evolution, by optimizing for energy efficiency, has built human brains.
Making a good decision implies that we have some idea of what’s true. But we do not have infinite data inputs or processing capacity. We are limited by our lifetimes.
Caring machines may be the only way to scale empathy across our species.
Now that more machine learning-based AI has been deployed in more places, human skills are being replaced in finer slices with new automation technologies. What has been observed in traditional blue collar work is that not all AI is good enough to increase the value of the output.
