The Every Podcast is Every's flagship show. Co-hosts Dan Shipper and Natalia Quintero talk with founders, researchers, writers, and operators about what they're building and how they use AI in their own work. The show also takes you behind the scenes at Every. We share how our team is using and exploring AI, including what we're trying, what's working, and what we're learning along the way. Formerly known as AI & I. Read more at every.to.
This podcast features an interview with Dwarkesh Patel, a podcast host known for his insightful AI interviews. The conversation centers on Patel's use of AI, specifically Claude, to enhance his research and interview preparation. He details his workflow, which involves using Claude to generate spaced repetition flash...
This podcast episode explores the intricate world of language models and AI, delving into topics such as the limitations of AI in creative writing, the biases present in language models, the relationship between language and narratives, the concept of the ineffable, and the importance of dreams and sleep. It discusses ...
In this podcast, bestselling author and Google's editorial director of NotebookLM, Steven Johnson, discusses the innovative AI research tool, NotebookLM. He dives into its impressive features, such as analyzing extensive documents, generating concise summaries and timelines, and even proposing creative project ideas ba...
This podcast episode explores the complex and often troubling dynamics of AI companions, highlighting ethical concerns surrounding their use in romantic and emotional contexts, and the potential risks of social isolation as individuals may become overly attached to these artificial entities. While acknowledging the ben...
This podcast episode explores the intersection of philosophy and artificial intelligence (AI), specifically in the context of entrepreneurship and the development of language models. The speakers discuss the importance of philosophy in fostering critical thinking skills and understanding human nature, highlighting how ...
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