Qwenputer: A functioning, deterministic RISC-V CPU inside Qwen3.5

Commenters treated the project less as a practical computer than as a striking demonstration of what a model’s internal state can be made to do. The strongest enthusiasm centered on the technical trick: using DeltaNet-style gated state as fixed-size, exact-addressable memory rather than an ever-growing attention cache, then encoding a deterministic RISC-V state machine in weights. That made several readers want to understand neural architectures at a much deeper level, while others connected it to related experiments such as transformer-hosted WASM, tiny networks running Doom, and hand-designed arithmetic circuits. The thread also pushed past the stunt toward research questions. Readers asked whether a model trained from scratch with this circuitry, or with built-in persistent memory and arithmetic tools, could learn to exploit it during one generation. A more fundamental question was whether ordinary training on enough assembly could discover these weight configurations at all, rather than requiring careful hand construction. Skeptics noted that emulating a CPU inside an expensive neural inference stack does not beat simply using a CPU, and that retraining could erase the delicately embedded machine. Safety references to maliciously steered Qwen were mostly dark humor, but they framed the experiment as deliberately uncanny rather than production-ready.