云计算平台选型与实践指南

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The new partnership with NVIDIA evolves the long-standing collaboration between the two companies. OpenAI has pledged to consume 2 gigawatts of training capacity on NVIDIA's Vera Rubin systems and an additional 3 gigawatts of computing resources, likely in the form of GPUs, to run specific AI inference tasks. In other words, NVIDIA is spending a lot of money on OpenAI and then OpenAI will turn around and spend a lot of money with NVIDIA. The ouroboros must feed.

But the triumphance of V3 is in the addSourceBuffer hook which solves a subtle problem. In earlier versions, hooking SourceBuffer.prototype.appendBuffer at the prototype level had a vulnerability in that if fermaw’s player cached a direct reference to appendBuffer before the hook was installed (i.e., const myAppend = sourceBuffer.appendBuffer; myAppend.call(sb, data)), the hook would never fire. The player would bypass the prototype entirely and call the original native function through its cached reference.,更多细节参见safew官方版本下载

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