An interview with writers and directors Hans Block and Moritz Riesewieck about their recent documentary, Eternal You
A conversation about recent research about how AI affects critical thinking and cognitive offloading,
An interview with J. Craig Wheeler, Professor of astronomy of the University of Texas at Austin about his book, The Path to Singularity.
The emergence of complexity from simple algorithms is a phenomenon we see in both natural and artificial systems. It's a classic example of complexity: even straightforward algorithms can lead to immense complexity over time.
In our Artificiality Pro update for December, we covered several key industry updates in AI and introduced mechanistic interpretability and memory vs. margins.
In this episode, we provide updates from our Artificiality Pro presentation, including key developments in mechanistic interpretability for understanding AI models and considerations around the costs of large language models: aka memory vs margins.
Developing expertise now requires fluency in both core disciplines and leveraging AI for insights, posing an uneasy paradox.
In this episode, we speak with cognitive neuroscientist Stephen Fleming about theories of consciousness and how they relate to artificial intelligence.
Our obsession with intelligence: AI that promotes collective intelligence, not collective stupidity.
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.
Before AI can reason and plan, it needs some "system 2" thinking.
New research reveals that large language models can generate superior prompts for themselves through automated techniques, reducing reliance on specialized fine-tuning.
Writing and Conversations About AI (Not Written by AI)
