AIO requires understanding how language models decide which sources to reference when answering questions. These models don't follow the same rules as search engine algorithms. They're not counting backlinks or analyzing page load speed. They're evaluating whether content provides clear, accurate, comprehensive answers to questions people actually ask. They're assessing credibility through different signals than traditional search engines use. They're making probabilistic decisions about which information best satisfies a query based on patterns learned during training and information retrieved during real-time web searches.
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Finding these optimization opportunities can itself be a significant undertaking. It requires end-to-end understanding of the spec to identify which behaviors are observable and which can safely be elided. Even then, whether a given optimization is actually spec-compliant is often unclear. Implementers must make judgment calls about which semantics they can relax without breaking compatibility. This puts enormous pressure on runtime teams to become spec experts just to achieve acceptable performance.，更多细节参见safew官方版本下载