AI models do not 'want' or 'enjoy' rewards; they are manipulated by numerical adjustments

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AI training involves pre-training, supervised fine-tuning, and reinforcement learning, where errors are corrected and responses are steered towards better scores, but the AI does not 'want' or 'enjoy' rewards; it is merely manipulated by numerical adjustments in its training code.