Where did probability come from? In this episode, Brad Harris explores how the invention of probability reshaped humanity's relationship with uncertainty—and why artificial intelligence (AI) ultimately runs on the same mathematics of prediction.

For most of human history, the future was not something people tried to calculate. It was fate, providence, or the will of the gods.

Then in the summer of 1654, two French mathematicians—Blaise Pascal and Pierre de Fermat—began exchanging letters about a gambling problem. From that correspondence emerged one of the most powerful ideas in human history: probability.

Once uncertainty could be quantified, the consequences were enormous. Insurance markets became possible. Medical treatments could be tested through clinical trials. Governments began measuring populations statistically. Engineers could calculate risk and safety margins. Modern science itself increasingly relied on statistical reasoning.

But the story doesn't end there.

Today, the same probabilistic thinking underlies the most powerful technology ever created: artificial intelligence. Large language models like ChatGPT are fundamentally prediction engines—systems trained to calculate what words are most likely to come next.

From ancient gambling games to modern AI, this episode explores how the invention of probability transformed the modern world—and why we are now living inside the most powerful prediction machines ever built.

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The Invention of Uncertainty: How Probability Led to Artificial Intelligence