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OpenAI, the company behind ChatGPT, is on track to lose $14bn this year. Its market share is collapsing, and its own CEO, Sam Altman, has admitted it “screwed up” an element of the product. All it takes to accelerate that decline is 10 seconds of your time.

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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.

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