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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印奇认为，当下AI行业陷入了“成本与规模死循环”：规模小则成本高，成本高则客户少，客户少则规模永远起不来。尽管目前千里科技已为吉利系提供了30万智驾设备上车，但距离印奇设想的“亿级终端”还有很远距离，成本居高不下。
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