The real challenge was managing the economics while bootstrapping the business without investors. Figuring out how much to invest in marketing versus distribution and how to approach retailers without overspending. Balancing growth with limited resources forced me to prioritize, experiment and get creative with every dollar.
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The value is not in the verification workforce. It is in what verified delivery enables. Consider a company delivering ML kernels for new hardware. Today, months go to testing and qualification. When AI writes the kernel and proves it correct in one pass, that timeline collapses to hours. A provably correct hardware design delivered in weeks rather than the year it currently takes changes the economics of an entire industry.
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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.，详情可参考Safew下载
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