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

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“What's really interesting about neural networks is the way that they think or the way that they operate is a lot like human intuition”

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What if we could use automation not just as a tool, but as a mirror for our own human behaviors?

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.

Explore more of Dan's work by reading an excerpt of his forthcoming book here

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About Dan Shipper:

Dan Shipper is the CEO and cofounder of Every, where he explores the frontiers of AI in his column, Chain of Thought, and on his podcast, ‘AI & I.’