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I often describe software as made up of three things: interfaces, data, and math. In the case of generative AI tools:
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但智驾能力和用户价值划等号的前提在于——在驾驶体验上给出“即开即用、越用越好用”的确定性。
Adapting to this personalized future likely requires building distinct brand identity and perspective rather than trying to be everything to everyone. If AI models categorize you clearly—as the practical, actionable advice source versus the theoretical deep-dive resource—you'll appear reliably for users whose preferences match that positioning. Trying to be too generic might result in appearing rarely for anyone as models route users to more distinctive alternatives.