This stands in stark contrast to code, which generally doesn't suffer from re-use at all, or may even benefit from it, if it's infrastructure. It also explains why open source projects are so particularly ill-suited to attracting talented, artistic creatives. The ethos of zero-cost sharing means any artistic design would be instantly pilfered and repurposed without its original context.
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For running untrusted code in a multi-tenant environment, like short-lived scripts, AI-generated code, or customer-provided functions, you need a real boundary. gVisor gives you a user-space kernel boundary with good compatibility, while a microVM gives you a hardware boundary with the strongest guarantees. Either is defensible depending on your threat model and performance requirements.
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首先是技术层面。对于高估值AI公司而言，每一轮模型发布都相当于一次压力测试。若下一代模型实现明显突破，目标价有上行空间；若技术停滞，估值可能收缩。
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