Revisiting phonon thermal transport in penta-graphene via a machine-learning potential-driven large-scale molecular dynamics simulation

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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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That was the gap. confusable-vision is the tool I built to close it: render every confusable pair, measure the pixels, and put a number on what “visually confusable” actually means.