Anthropic was supposed to be the crown jewel of the Pentagon’s AI push. Its Claude model is one of the few large language systems cleared for certain classified environments and is already deeply embedded in defense workflows through contractors like Palantir. Pulling it out could take months, according to a report by Defense One, making the startup not just a vendor but a critical node in the military’s emerging AI infrastructure.
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2026-02-26 00:00:00:03014222910http://paper.people.com.cn/rmrb/pc/content/202602/26/content_30142229.htmlhttp://paper.people.com.cn/rmrb/pad/content/202602/26/content_30142229.html11921 李强出席中德经济顾问委员会座谈会
Data flows left to right. Each stage reads input, does its work, writes output. There's no pipe reader to acquire, no controller lock to manage. If a downstream stage is slow, upstream stages naturally slow down as well. Backpressure is implicit in the model, not a separate mechanism to learn (or ignore).