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We booted Linux inside an AI model, one predicted token at a time. A CPU is compiled into Qwen3.5-4B's weights, with no training and no emulator. The model predicted all 7.3 million steps correctly. Qwen wrote a Fibonacci program, ran it on that Linux, and fixed the error.
35,229 views • 13 days ago •via X (Twitter)
3 Comments

Sudip13 days ago
This builds on @divagr1925's Qwenputer, which put a CPU inside a model's weights. To run Linux, we added timer interrupts, traps, privilege modes, atomics and 4.5 MB of exact memory. Linux isn't written for this chip, and one wrong bit in 7.3 million steps would crash it.

Sudip13 days ago
Running alone, the model decodes the whole boot in 20 minutes on one H100. Qwen's weights are bit-identical, and MMLU barely moves (72.72% to 72.61%). Code: Weights: Thanks to CNLohr's mini-rv32ima, the blueprint for the CPU.

🌍️ (thee/thou)11 days ago
but why


