How do you get a neural network's ability to learn from data and a symbolic system's exact, checkable steps in one system? The primer covers five ways to combine them and what each has achieved through October 2026. Among the questions still open are how much symbolic processing models can take over, and whether a verifier can keep up with the model it trains.
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