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.
Altman added in his post on X that OpenAI will build technical safeguards to ensure the company’s models behave as they should, claiming that’s also what the DoW wanted. It’s sending engineers to work with the agency to “ensure [its models’] safety,” and it will only deploy on cloud networks. As The New York Times notes, OpenAI is not yet on Amazon cloud, which the government uses. But that could change soon, as company has also just announced forming a partnership with Amazon to run its models on Amazon Web Services (AWS) for enterprise customers.
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