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I’ve spent years building AI for lawyers at Thomson Reuters. That Wikipedia moment wasn’t an AI failure. It was a systems failure. Understanding the difference determines who wins the next decade of legal tech—and this week’s announcements show that battle is intensifying.
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The model does the work, not the code. The inference code should be generic autoregressive decoding that would work with any transformer checkpoint. If your generation loop contains addition-specific logic — manually pairing digits, threading carry state, indexing into specific positions — then the Python code is solving the problem, not the model.
The lines of code are then transformed to text and evaluated in a GHCi session.
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