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This approach requires sourcing and maintaining accurate information, which means you can't fabricate numbers or exaggerate metrics. AI models increasingly cross-reference claims across sources, and inconsistencies damage credibility. The data you include must be truthful and, where relevant, attributed to primary sources. But when you consistently provide specific, accurate information, you build a reputation as a reliable source that AI models return to repeatedly.
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沃斯並指出，被視為調查「金標準」的英國社會態度調查（British Social Attitudes，BSA）——由英國國家社會研究中心（NatCen）執行——呈現出的趨勢與聖經公會的說法幾乎完全相反。
OpenAI gave fewer details on the Nvidia partnership, but said it had committed to using “3GW of dedicated inference capacity and 2GW of training on Vera Rubin systems” as part of the deal.