This week we are leaning into multiple metaphors: AI as a mirror, UX design as a window or room, and life as information. Plus: read about Michael Levin's upcoming presentation at the Imagining Summit, Helen's Book of the Week, and our upcoming events.
It’s easy to fall prey to the design illusion that because LLMs look sleek, they must be well-designed. But aesthetics alone do not equal design. As Steve Jobs once said, “Design is not just what it looks and feels like. Design is how it works.”
It’s curious that these two papers, tackling such similar ideas, came out at the same time. Is this coincidence, or does it tell us something about where the study of life and intelligence is heading?
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.
In this episode, we talk with Stephen Fleming, Professor of Cognitive Neuroscience at University College London, about his book, Know Thyself.
The Artificiality Weekend Briefing: About AI, Not Written by AI
