S2E8 - Neural Nets: The Assembly Line of Thought

Henry Ford didn't invent the car. He turned building one into a series of motions so simple that no single worker needed to understand the whole machine. Frederick Taylor went further, timing every bend and lift until the factory floor ran like arithmetic. Efficiency stopped being personal and became architectural.

That same instinct showed up in punch cards, where your entire program lived as holes in a stack of cardboard you carried with both hands. And it shows up again in neural networks, where thinking itself gets broken into millions of tiny weighted adjustments. The system predicts what comes next based on patterns. The assembly line builds cars. The neural network builds answers.

Renee and Marc follow that thread through factories, mainframes, digital twins, and the real-world failures that happen when optimisation meets reality. Zillow's AI bought overpriced houses. Facial recognition systems misidentify people along racial lines. Lawyers submit fabricated case law generated by a model that optimises for fluency, not truth.

The machine works. It always works. The question is what it's optimising and who notices when the objective function is wrong.

Join Renee and Marc as they discuss tech topics with a view on their nostalgic pasts in tech that help them understand today's challenges and tomorrow's potential.

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