This fragmentation hurts portability. Code that performs well on one runtime may behave differently (or poorly) on another, even though it's using "standard" APIs. The complexity burden on runtime implementers is substantial, and the subtle behavioral differences create friction for developers trying to write cross-runtime code, particularly those maintaining frameworks that must be able to run efficiently across many runtime environments.
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庞若鸣在Meta负责的是超级智能实验室，这是一个旨在构建比人类更强大系统的先锋团队。他在Scale AI联合创始人兼前首席执行官汪滔（Alexandr Wang）以及GitHub前首席执行官奈特·弗里德曼（Nat Friedman）领导下工作。
OpenAIのサム・アルトマンCEOいわく「人間を訓練するには20年の時間と食料が必要」で「AIのエネルギー消費に関する議論は不公平」