What happens when the models keep doubling and you have to bet your whole company on where they land? Daniel Vitiello of Cooklist Inc. gets into building AI native from day one, why his rule is to never delegate understanding, and how the right harness turns a general model into something that actually ships. Also the pivot from consumer app to powering grocery e commerce, agents that do your shopping, and a wild take on self sovereign AI earning its own money by 2029.

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0:00:00 Why AI has been the bet since 2013
0:02:12 Building an AI native team
0:04:30 Never delegate understanding
0:06:11 Cooklist and the food data play
0:08:48 The jump from ML to agentic AI
0:12:34 Betting on the exponential
0:15:53 When the models start eating software
0:22:32 Disintermediating judgment
0:24:41 Why humanities still matter
0:27:19 The harness and the wrapper debate
0:33:22 The human as the bottleneck
0:38:26 A year of work built in a weekend
0:42:16 Daniel's road to becoming a builder
0:46:58 What Cooklist is today
0:52:16 Agentic search and merchandising
0:58:07 A controversial take on self sovereign AI

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