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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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But you could also read those quotes as the latest example of a hot startup’s ethics becoming grayer as its valuation rises. (Remember Google’s old “Don’t be evil” mantra that it later removed from its code of conduct?) The latest versions of Claude have drawn widespread praise, especially in coding. In February, Anthropic raised $30 billion in new investments. It now has a valuation of $380 billion. (Speaking of the competition Kaplan referred to, rival OpenAI is currently valued at over $850 billion.)