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前苹果与 Meta 高管庞若鸣加盟 OpenAI

Instead of yielding one chunk per iteration, streams yield Uint8Array[] — arrays of chunks. This amortizes the async overhead across multiple chunks, reducing promise creation and microtask latency in hot paths.

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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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