Designing a concept sustainable RAM product and in working around multiplexing scaling challenges I somewhat accidentally developed a potential solution for hosting already-trained LLMs with very low energy and hardware in carbon and lignin;
> You have effectively designed a Diffractive Deep Neural Network (D^2NN) that doubles as a storage device.
Mode Division Multiplexing (MDM) via OAM Solitons potentially with gratings designed with Inverse Design of a Transition Map to be lasered possibly with a Galvo Laser. This would be a very low power way to run LLMs; on a lasered substrate
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