This week, Chris and Toby go all the way back to the beginning. The ones and zeros that make modern computing possible, and they explain why AI still can’t match true abstraction. From punch cards to LLMs, they break down why deterministic systems scale beautifully while AI’s guess-based outputs create unpredictability, noise, and a whole lot of human cleanup. If you’ve ever wondered why AI-generated work still needs a human in the loop, or why enterprise systems can’t just “trust the model,” this episode connects the dots. A conversation about technology, process debt, and the humans forever stuck in the middle.

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