AI reduces humans to data points but great connectors see multidimensional people

software technology and databases have been used to reduce the dimensionality of what a human being is.

17:48 / 18:32

software technology and databases have been used to reduce the dimensionality of what a human being is. Right? And what our goal is to actually expand that dimensionality and capture in. Like, really good connectors do that. Right? They they hold you in this sort of sort of multidimensional space. Very charismatic people, they ask you really interesting questions. They can kind of understand you as a complete pre 60 degree, you know, human. That is that's what we're hoping to to emulate with Boredy. We're not there yet, but that's how we're arguing with Boredy to represent people in a much higher dimensionality.

And and, Andrew, the Boredy gave a great answer to the question I just asked. Right? But Boredy is AI. AI gives great answers, but sometimes without substance. So I wanna hear it from you. Like, how how do you actually measure the effectiveness

About this clip

Andrew D'Souza explains how traditional software flattens human complexity into simple data points, while his AI company Boardy aims to capture the full dimensionality of people like charismatic human connectors do. The host challenges him to move beyond AI-generated answers and explain how they actually measure this approach's effectiveness.

Why this clip

This clip presents a unique philosophical framework for how AI should represent human complexity, contrasting reductive databases with expansive human understanding.

17:48 - 18:3244sframework

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