OpenAI describes GPT-5 Pro as using "scaled but efficient parallel test-time compute." Nathan Lambert on Lex Fridman #490 discusses the broader pattern of inference-time scaling: giving models more compute at generation time to explore multiple reasoning paths. ↩
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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.，更多细节参见同城约会
./frps -c ./frps.toml