With that, I built a gigaprompt to ensure Opus 4.5 accounted for both the original Python implementation and a few new ideas I had, such as supersampling to antialias the output.
.pipeThrough(serialize) // even more buffers...
。关于这个话题，heLLoword翻译官方下载提供了深入分析
Nature, Published online: 25 February 2026; doi:10.1038/d41586-026-00296-3
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.