The problem gets worse in pipelines. When you chain multiple transforms – say, parse, transform, then serialize – each TransformStream has its own internal readable and writable buffers. If implementers follow the spec strictly, data cascades through these buffers in a push-oriented fashion: the source pushes to transform A, which pushes to transform B, which pushes to transform C, each accumulating data in intermediate buffers before the final consumer has even started pulling. With three transforms, you can have six internal buffers filling up simultaneously.
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AI companies have been widely criticized for potential harm to users, but mass surveillance and weapons development would clearly take that to a new level. Anthropic's potential reply to the Pentagon was seen as a test of its claim to be the most safety-forward AI company, particularly after dropping its flagship safety pledge a few days ago. Now that Amodei has responded, the focus will shift to the Pentagon to see if it follows through on its threats, which could seriously harm Anthropic.。下载安装 谷歌浏览器 开启极速安全的 上网之旅。对此有专业解读
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