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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.
Our conversations with some of the great minds at the intersection of minds meeting machines.
In this episode, we dive into the exciting announcement of Google's new foundation model for AI, Gemini, exploring three key aspects of this important, new technology.
An interview with Steven Sloman, professor of cognitive, linguistic, and psychological sciences at Brown University, about LLMs and deliberative reasoning.
In this episode, we speak with Julia Rhodes Davis, a Senior Advisor at Data & Society, about her recent report "Advancing Racial Equity Through Technology Policy" published by the AI Now Institute.
Grounding her work in the problem of causation, Alicia Juarrero challenges previously held beliefs that only forceful impacts are causes. Constraints, she claims, bring about effects as well, and they enable the emergence of coherence.
Jai Vipra is a research fellow at the AI Now Institute where she focuses on competition issues in frontier AI models. She recently published the report Computational Power and AI which focuses on compute as a core dependency in building large-scale AI.
An interview with University of British Columbia professor, Wendy Wong, about her book We, the Data: Human Rights in the Digital Age.
An interview with Chris Summerfield about his book Natural General Intelligence.
An interview with Michael Bungay Stanier about his book How to Work with (Almost Anyone).
An exploration of how we might conceptualize the design of AGI within the context of human left and right brains.
A conversation with Jonathan Coulton about generative AI, songwriting, and creativity.
An exploration of the intersection of AI, meaning, and human relationships.
