Why you should see the world like a large language model | Dan Shipper: Full Interview

From the limits of rationalism to the rise of neural networks, Dan Shipper, CEO and co-founder of Every, traces a history of knowledge that spans Socrates, the Enlightenment, and modern machine learning. Shipper explains why “if/then” rules break in messy reality, and how large language models actually see the world through context and pattern. He explores how AI can work with our own creativity and why these tools are unlikely to steal our humanity.