Kathryn Hume — Financial Models, ML, and 17th-Century Philosophy

Philosophical Insights

Kathryn Hume explores how 17th-century philosophers like Newton and Descartes might perceive machine learning today. She highlights the evolution of calculus, noting how Leibniz's focus on formalism and Newton's emphasis on visualization shaped mathematical thought 1. Descartes' famous assertion, "I think, therefore I am," is likened to supervised learning, where repetition and pattern recognition establish understanding 2. Kathryn also reflects on her academic journey, emphasizing the importance of understanding historical perspectives in tech 3.

I trained as, like, an intellectual historian in grad school. And so if you're a philosopher, often today, you're, like, evaluating arguments for, like, is this right? Is this true?

--- Kathryn Hume

This historical insight, she argues, is invaluable in modern product management and executive roles.

   

AI Consciousness

The discussion shifts to the consciousness debate in AI, where Kathryn shares her skepticism about AI achieving sentience. She questions the validity of the Turing Test and other philosophical arguments, suggesting that consciousness might be a byproduct of complex computation rather than a distinct entity 4. Lukas Biewald and Kathryn also ponder the ethics of futuristic technologies like transporters, with both expressing reservations about their safety 5.

Consciousness is a red herring, is kind of what that argument would be.

--- Kathryn Hume

These reflections highlight the ongoing philosophical and ethical challenges in the field of AI.