We explore John Carmack's daring idea to store AI weights not in RAM but in a 200-kilometer loop of fiber, turning data latency into a form of storage. We trace the history of delay-line memories, explain how light-speed data flow could slash energy costs, and look at parallel flash approaches like the augmented memory grid. Finally, we discuss how this vision reframes storage as motion and what it could mean for the future of computing—perhaps machines that feel more like nervous systems than static boxes.
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