A review of What Is Life?: Evolution by Computation, and What Is Intelligence?: Lessons from AI about Evolution, Computing, and Minds, by Blaise Agüera y Arcas
A conversation with Blaise Aguera y Arcas (Google) and Michael Levin (Tufts University) about two recente papers on the computational foundations of life and intelligence.
A conversation with Maggie Jackson, author of Uncertain
Our meta-research across disciplines: behavioral economics, cognitive science, complexity science, computer science, decision science, design, neuroscience, philosophy, and psychology. Science is changing because boundaries between disciplines are dissolving. Our research dissects the latest books and papers. Highly curated, an antidote to information overload.
Our favorite reads from 2022 about humans, machines, data, decisions, and problems.
Covid gave us a chance to read—a lot! As we prepare for the holidays (and factoring in supply chain issues and shipping delays) we thought we’d share the books that have had the most influence on our ideas about the emerging human-machine community this year.
Microsoft researchers recently published one of the most exciting advances in AI this year, IMO.
Helping Facebook's AI understand hidden meaning by acquiring GIPHY.
Facebook’s algorithms cause political polarization by creating “echo chambers” or “filter bubbles” that insulate people from opposing views about current events.
This was the question asked this week by a Princeton comp-sci professor.
Writing and Conversations About AI (Not Written by AI)
